Abstract
Background
Acute kidney injury (AKI) is a common condition among patients in intensive care units (ICUs) and is associated with high numbers of deaths. Kidney replacement therapy (KRT) is a blood purification technique used to treat the most severe forms of AKI. The optimal time to initiate KRT so as to improve clinical outcomes remains uncertain. This is an update of a review first published in 2018.
This review complements another Cochrane review by the same authors: Intensity of continuous renal replacement therapy for acute kidney injury.
Objectives
To assess the effects of different timing (early and standard) of KRT initiation on death and recovery of kidney function in critically ill patients with AKI.
Search methods
We searched the Cochrane Kidney and Transplant’s Specialised Register to 4 August 2022 through contact with the Information Specialist using search terms relevant to this review. Studies in the Register are identified through searches of CENTRAL, MEDLINE, EMBASE, conference proceedings, the International Clinical Trials Register, ClinicalTrials and LILACS to 1 August 2022.
Selection criteria
We included all randomised controlled trials (RCTs). We included all patients with AKI in the ICU regardless of age, comparing early versus standard KRT initiation. For safety and cost outcomes, we planned to include cohort studies and non‐RCTs.
Data collection and analysis
Data were extracted independently by two authors. The random‐effects model was used, and results were reported as risk ratios(RR) for dichotomous outcomes and mean difference(MD) for continuous outcomes, with 95% confidence intervals (CI).
Main results
We included 12 studies enrolling 4880 participants. Overall, most domains were assessed as being at low or unclear risk of bias.
Compared to standard treatment, early KRT initiation may have little to no difference on the risk of death at day 30 (12 studies, 4826 participants: RR 0.97,95% CI 0.87 to 1.09; I²= 29%; low certainty evidence), and death after 30 days (7 studies, 4534 participants: RR 0.99, 95% CI 0.92 to 1.07; I² = 6%; moderate certainty evidence).
Early KRT initiation may make little or no difference to the risk of death or non‐recovery of kidney function at 90 days (6 studies, 4011 participants: RR 0.91, 95% CI 0.74 to 1.11; I² = 66%; low certainty evidence); CIs included both benefits and harms.
Low certainty evidence showed early KRT initiation may make little or no difference to the number of patients who were free from KRT (10 studies, 4717 participants: RR 1.07, 95% CI 0.94 to1.22; I² = 55%) and recovery of kidney function among survivors who were free from KRT after day 30 (10 studies, 2510 participants: RR 1.02, 95% CI 0.97 to 1.07; I² = 69%) compared to standard treatment.
High certainty evidence showed early KRT initiation increased the risk of hypophosphataemia (1 study, 2927 participants: RR 1.80, 95% CI 1.33 to 2.44), hypotension (5 studies, 3864 participants: RR 1.54, 95% CI 1.29 to 1.85; I² = 0%), cardiac‐rhythm disorder (6 studies, 4483 participants: RR 1.35, 95% CI 1.04 to 1.75; I² = 16%), and infection (5 studies, 4252 participants: RR 1.33, 95% CI 1.00 to 1.77; I² = 0%); however, it is uncertain whether early KRT initiation increases or reduces the number of patients who experienced any adverse events (5 studies, 3983 participants: RR 1.23, 95% CI 0.90 to 1.68; I² = 91%; very low certainty evidence).
Moderate certainty evidence showed early KRT initiation probably reduces the number of days in hospital (7 studies, 4589 participants: MD‐2.45 days, 95% CI ‐4.75 to ‐0.14; I² = 10%) and length of stay in ICU (5 studies, 4240 participants: MD ‐1.01 days, 95% CI ‐1.60 to ‐0.42; I² = 0%).
Authors' conclusions
Based on mainly low to moderate certainty of the evidence, early KRT has no beneficial effect on death and may increase the recovery of kidney function. Earlier KRT probably reduces the length of ICU and hospital stay but increases the risk of adverse events.
Further adequate‐powered RCTs using robust and validated tools that complement clinical judgement are needed to define the optimal time of KRT in critical patients with AKI in order to improve their outcomes. The surgical AKI population should be considered in future research.
Plain language summary
Timing of initiation of kidney replacement therapy (dialysis) for acute kidney injury
What is the issue?
Acute kidney injury (AKI) is very common among patients admitted to the intensive care unit (ICU); it is associated with high death rates and is characterised by the rapid loss of kidney function. Patients with AKI show increased levels of serum uraemic toxins (creatinine and urea), serum potassium and metabolic acids, accumulation of fluid and, in most cases, a reduction in urine output. In this population, these chemicals and fluid overload are related to increased rates of death. Theoretically, early removal of toxins and excess fluid from the bloodstream might improve patient outcomes (such as death rate and recovery of kidney function).
Kidney replacement therapy (KRT), also known as dialysis, is a blood purification technique that enables the removal of excess fluid and toxins. KRT involves blood being diverted from the patient via a catheter (a hollow, flexible tube placed into a vein) through a filtering system which removes excess fluid and toxins; purified blood is then returned to the patient via the catheter. Early initiation of KRT improves the removal of toxins and excess fluid.
The aim of this review was to investigate the effect of the different timing of KRT initiation (early or standard) on death, recovery of kidney function, and adverse events in people with AKI who are critically ill.
What did we do?
We searched the literature up until 4 August 2022 and identified 12 studies enrolling 4880 critically ill patients with AKI that were evaluated in this review.
What did we find?
Compared to standard, early KRT initiation may have no benefits on death; however, may increase recovery of kidney function and probably reduces the number of days in ICU and hospital stay, but increases the risk of adverse events in patients with AKI in intensive care units. Nevertheless, regarding death and recovery of kidney function, early KRT initiation showed a range of values that included benefits as well as harms.
Summary of findings
Summary of findings 1. Early versus standard initiation of kidney replacement therapy (KRT) in patients with acute kidney injury (AKI).
Early versus standard initiation of KRT in patients with AKI | |||||
Patient or population: AKI Setting: intensive care unit Intervention: early initiation Comparison: standard initiation | |||||
Outcomes | Anticipated absolute effects* (95% CI) | Relative effect (95% CI) | No. of participants (RCTs) | Certainty of the evidence (GRADE) | |
Risk with standard initiation | Risk difference with early initiation | ||||
Death at day 30 | 385 per 1000 | 12 fewer per 1000 (50 fewer to 35 more) | RR 0.97 (0.87 to 1.09) | 4826 (12) | ⊕⊕⊝⊝ Low 1 2 |
Death after 30 days | 457 per 1000 | 5 fewer per 1000 (37 fewer to 32 more) | RR 0.99 (0.92 to 1.07) | 4534 (7) | ⊕⊕⊕⊝ Moderate1 |
Death or non‐recovery of kidney function Time frame: day 90 |
468 per 1000 | 42 fewer per 1000 (122 fewer to 51 more) | RR 0.91 (0.74 to 1.11) | 4011(6) | ⊕⊕⊝⊝ Low 1 2 |
Recovery of kidney function Patients free from KRT according to ITT analysis (all patients) |
493 per 1000 | 34 more per 1000 (30 fewer to 108 more) | RR 1.07 (0.94 to 1.22) | 4717 (10) | ⊕⊕⊝⊝ Low 1 2 |
Adverse events: hypophosphataemia | 42 per 1000 | 34 more per 1000 (14 more to 61 more) | RR 1.80 (1.33 to 2.44) | 2927 (1) | ⊕⊕⊕⊕ High |
Adverse events: hypotension | 81 per 1000 | 44 more per 1000 (23 more to 69 more) | RR 1.54 (1.29 to 1.85) | 3864 (5) | ⊕⊕⊕⊕ High |
Adverse events: cardiac‐rhythm disorder | 54 per 1000 | 19 more per 1000 (2 more to 41 more) | RR 1.35 (1.04 to 1.75) | 4483 (6) | ⊕⊕⊕⊕ High |
Adverse events: infection | 33 per 1000 | 11 more per 1000 (0 fewer to 25 more) | RR 1.33 (1.00 to 1.77) | 4252 (5) | ⊕⊕⊕⊕ High |
Length of stay in ICU | Mean length of stay in ICU was 1.01 days less with early initiation (1.6 less to 0.42 less) compared to standard initiation | ‐ | 4240 (5) | ⊕⊕⊕⊝ Moderate3 | |
Length of stay in hospital | The mean length of stay in hospital was 2.45 days less with early initiation (4.75 less to 0.14 less) compared to standard initiation | ‐ | 4589 (7) | ⊕⊕⊕⊝ Moderate 3 | |
*The risk in the intervention group (and its 95% CI) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: confidence interval; RR: risk ratio; MD: mean difference | |||||
GRADE Working Group grades of evidence High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. |
1 Imprecision: due to the CI crossed the threshold for clinically meaningful effects
2 Inconsistency: due to heterogeneity
3 Indirectness: critically ill patients with AKI in RKT have high short‐term risk of death; death is a competing end point for kidney recovery at day 90
Summary of findings 2. Subgroup analyses: early versus standard initiation of kidney replacement therapy (KRT) in patients with acute kidney injury (AKI).
Early versus standard initiation of KRT in patients with AKI | |||||
Patient or population: AKI Setting: intensive care unit Intervention: early initiation Comparison: standard initiation | |||||
Outcomes | Anticipated absolute effects* (95% CI) | Relative effect (95% CI) | No. of participants (RCTs) | Certainty of the evidence (GRADE) | |
Risk with standard initiation | Risk difference with early initiation | ||||
Death by AKI aetiology: non‐surgical causes | 383 per 1000 | 4 more per 1000 (23 fewer to 34 more) | RR 1.01 (0.94 to 1.09) | 4461 (9) | ⊕⊕⊕⊝ Moderate 2 |
Death by AKI aetiology: surgical causes | 408 per 1000 | 143 fewer per 1000 (282 fewer to 147 more) | RR 0.65 (0.31 to 1.36) | 365 (3) | ⊕⊕⊝⊝ Low 1 2 |
Kidney recovery functionby KRT: continuous KRT | 355 per 1000 | 149 more per 1000 (4 fewer to 365 more) | RR 1.42 (0.99 to 2.03) | 583 (6) | ⊕⊕⊕⊝ Moderate2 |
Kidney recovery functionby KRT: continuous and intermittent KRT | 520 per 1000 | 21 fewer per 1000 (47 fewer to 10 more) | RR 0.96 (0.91 to 1.02) | 4134 (4) | ⊕⊕⊕⊝ Moderate 1 |
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). CI: confidence interval; RR: risk ratio; KRT: kidney replacement therapy | |||||
GRADE Working Group grades of evidence High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. |
1 Imprecision: due to the CI crossed the threshold for clinically meaningful effects
2 Inconsistency: due to heterogeneity
Background
Description of the condition
Acute kidney injury (AKI) is a complex clinical entity characterised by an abrupt decline in kidney function (Mehta 2007). AKI incidence among adults admitted to intensive care units (ICUs) ranges from 5% to 20% (Joannidis 2005); in children, the incidence is 10% (Schneider 2010). Despite its potential to be reversed, AKI is associated with high rates of morbidity and death (Bagshaw 2007). Kidney replacement therapy (KRT) has become a form of kidney support for critically ill patients with AKI (Wald 2015). Despite advances in clinical care and KRT, the presence of AKI in the ICU setting is associated with poor prognosis and requires significant healthcare resources (Sutherland 2010; Uchino 2005).
Description of the intervention
KRT is an extracorporeal blood purification therapy intended to support impaired kidney function. We included the following KRT modalities: Continuous KRT (CKRT) slowly removes fluid (Foland 2004; Gibney 2008; Goldstein 2001) and high to small molecular weight solutes efficiently over prolonged periods (Brunnet 1999; Clark 1999; Liao 2003; Sieberth 1995), and confers beneficial haemodynamic stability effects. CKRT modalities are defined by their main solute clearance mechanism. These are convection (continuous venovenous haemofiltration (CVVHF), diffusion (continuous venovenous haemodialysis (CVVHD), or a combination of both convection and diffusion (continuous venovenous haemodiafiltration, CVVHDF) (Palevsky 2002). The intermittent KRT (IKRT) removes fluid and lower molecular weight solutes over a short period of time (sessions of three to five hours), two or three times a week. Diffusion is the main solute clearance mechanism. These are intermittent haemodialysis (IHD), intermittent haemofiltration (IHF), intermittent haemodiafiltration (IHDF), and intermittent high‐flux dialysis (IHFD). The hybrid therapies, also known as prolonged IKRTs, such as sustained low‐efficiency dialysis (SLED) and extended‐duration dialysis (EDD); provides KRT for an extended period of time (six to 18 hours), at least three times/week (Edrees 2016); includes both convective (i.e. haemofiltration) and diffusive (i.e. haemodialysis) therapies, depending on the method of solute removal (Marshall 2011). Peritoneal dialysis modality was not included.
Timing of KRT initiation is generally related to "when to start renal support in critically ill patients with AKI". A number of organisations have published practice guidelines that include statements on the timing of KRT initiation in ICU settings. The Kidney Disease Improving Global Outcomes (KDIGO 2012), the National Institute for Health and Care Excellence (NICE 2013) and the French Intensive Care Society (Vinsonneau 2015) have published practice guidelines that include statements on the timing of KRT initiation in ICU settings. There has been consensus on the standard initiation criteria: when life‐threatening changes in fluid, electrolytes and acid‐based balance exist according to different guidelines; however, none of the recommendations have been graded. Unfortunately, there has been little consensus on the early beginning of KRT in ICU patients with AKI. Some published studies have used urine output and serum creatinine (SCr) (Sugahara 2004) or urine output and creatinine clearance (CrCl) (Bouman 2002) as surrogate criteria of early initiation. Other authors have considered time to ICU admission (Bagshaw 2009), time to fulfilling AKI stage 2 within 8 hr (ELAIN 2016) or within 12 hr using a novel kidney damage biomarker neutrophil gelatinase‐associated lipocalin (NGAL) (EARLYRRT 2018; STARRT‐AKI Pilot 2013; Xia 2019), and time to fulfilling AKI stage 3 (AKIKI 2015). With poor agreement (expert opinion), NICE 2013 and Vinsonneau 2015 also published possible indicators for early kidney support therapy, e.g. weight "gain less than 10%, urea less than 25 mmol/litre and oliguria 0.5 ml/kg/hr or less for at least 24 hours" or "KDIGO AKI stage 2 or within 24 hr after the onset of AKI of which reversibility seems unlikely, respectively". In our review, we will assign definitions given in included studies in relation to early and standard KRT initiation.
How the intervention might work
A hypothesis that the timing of KRT commencement may affect survival emerged from animal and human studies over the past decade. Animal studies investigating sepsis (Mink 1995) and pancreatitis (Yekebas 2002) suggested beneficial effects on physiologic and clinical endpoints when haemofiltration was started early, simultaneously or two hours after injury. Several observational studies investigated the effect of timing in patients with AKI; Teschan 1960 reported improved survival rates relating to KRT timing in patients commencing dialysis with low blood urea nitrogen; Gettings 1999 indicated improved survival in early haemofiltration patients with AKI related to trauma, the same was found in patients with AKI post cardiac surgery (Bouman 2002; Demirkilic 2004; Elahi 2004; Sugahara 2004). Randomised controlled trials (RCTs) found patients with pancreatitis had significantly better survival in patients who received early haemofiltration (within 48 hours after the onset of abdominal pain) than in the group with late haemofiltration (96 hours after the onset of abdominal pain (Jiang 2005), while other RCTs failed to demonstrate these advantages (AKIKI 2015; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019).
Why it is important to do this review
Studies assessing KRT timing (early versus standard) have reported inconsistent results: earlier studies indicated significant improvements in survival and kidney function recovery, yet others, including RCTs and meta‐analyses, did not find these benefits. We investigated the relationship between different timing of KRT initiation and clinical outcomes for critical patients with AKI. Review evidence could have direct relevance to guide clinical practice.
This review complements another Cochrane systematic review by the same authors: Intensity of continuous renal replacement therapy for acute kidney injury (Fayad 2016).
Objectives
To assess the effects of different timing (early and standard) of KRT initiation on death and recovery of kidney function in critically ill patients with AKI.
Methods
Criteria for considering studies for this review
Types of studies
All RCTs looking at KRT modalities for people with AKI in ICU settings were eligible for inclusion. For outcomes such as safety and costs, non‐RCTs and cohort studies were also planned to be included if sufficiently high quality, sampling was clearly described, patients characterised, proportions of patients experiencing any adverse events or who dropped out because of adverse events were adequately reported, co‐interventions were described, and at least 80% of patients included were analysed after treatment.
Types of participants
Inclusion criteria
We included all patients with AKI in the ICU being treated with KRT regardless of age and gender. We assigned AKI definitions cited by the included studies.
Exclusion criteria
We excluded patients who received dialysis treatment before admission to ICU, patients admitted for drug overdose (doses exceeding therapeutic requirements), or with acute poisoning (all toxins).
Types of interventions
We compared early (intervention group) versus standard (control) initiation in CKRT and IKRT. We excluded the peritoneal dialysis modality. The criteria of time were defined as published in the original publications.
Types of outcome measures
Primary outcomes
Death
Death from any cause at days 7, 15, 30, 60 and 90
Death or non‐recovery of kidney function at day 90.
Recovery of kidney function
Number free of KRT according to intention‐to‐treat analysis
Number free of KRT according to intention‐to‐treat analysis at days 30, 60 and 90.
Secondary outcomes
Adverse events
Number experiencing any adverse events
Number who dropped out because of any adverse events (technique or patient‐dependent factors)
Number with intervention‐related complications (e.g. disequilibrium, hypokalaemia, hypophosphataemia, hypocalcaemia, bleeding, hypotension)
Number with catheter‐related complications.
We looked for differences in overall drop‐out rates and any adverse effects by type (mild or severe). We defined adverse events severity where medical therapeutic interventions were implied in reporting. Withdrawals due to protocol violation or loss to follow‐up were not included in counts of adverse events.
Length of stay
Days in hospital
Days in ICU.
Cost
We planned to assess the costs of KRT modalities, including:
Type and number of dialyser filters
Use or no use of anticoagulation
Types of anticoagulation and anticoagulants
Use of replacement fluid
Number of days on KRT.
All costs were to be reported in international monetary units.
Cost/day of KRT
Length of hospital stay with KRT
Length of ICU stay with KRT.
Search methods for identification of studies
Electronic searches
We searched the Cochrane Kidney and Transplant Specialised Register to 4 August 2022 through contact with the Information Specialist using search terms relevant to this review. The Specialised Register contains studies identified from the following sources.
Monthly searches of the Cochrane Central Register of Controlled Trials (CENTRAL)
Weekly searches of MEDLINE OVID SP
Handsearching of kidney‐related journals and the proceedings of major kidney conferences
Searching the current year of EMBASE OVID SP
Weekly current awareness alerts for selected kidney and transplant journals
Searches of the International Clinical Trials Register (ICTRP). Search Portal and ClinicalTrials.gov.
Studies contained in the Specialised Register were identified through search strategies for CENTRAL, MEDLINE and EMBASE based on the scope of Cochrane Kidney and Transplant. Details of these strategies, as well as a list of handsearched journals, conference proceedings and current awareness alerts, are available in the Specialised Register section of information about Cochrane Kidney and Transplant.
See Appendix 1 for search terms and strategies used for this review.
Searching other resources
LILACS (Latin American and Caribbean Health Sciences) (from March 1980 to August 2022)
Reference lists of review articles, relevant studies and clinical practice guidelines
Letters seeking information about unpublished or incomplete studies to investigators known to be involved in previous studies.
Data collection and analysis
Selection of studies
The search strategy described was used to obtain titles and abstracts of studies with potential relevance to the review. Titles and abstracts were screened independently by two authors who discarded studies that were not applicable; however, studies and reviews that could include relevant data or information on studies were retained initially. Two authors independently assessed retrieved abstracts and, if necessary, the full text of these studies to determine which satisfied the inclusion criteria.
Data extraction and management
Data extraction was carried out independently by two authors (AF, DB) using standard data extraction forms. Studies reported in non‐English language journals were translated before assessment. Where more than one publication of one study existed, reports were grouped together, and the publication with the most complete data was used in the analyses. Where relevant outcomes were only published in earlier versions, these data were used. We resolved any discrepancies by discussion (AF, DB, AC).
Assessment of risk of bias in included studies
The following items were independently assessed using the risk of bias assessment tool (Higgins 2021) (see Appendix 2).
Was there adequate sequence generation (selection bias)?
Was allocation adequately concealed (selection bias)?
-
Was knowledge of the allocated interventions adequately prevented during the study?
Participants and personnel (performance bias)
Outcome assessors (detection bias)
Were incomplete outcome data adequately addressed (attrition bias)?
Are reports of the study free of suggestion of selective outcome reporting (reporting bias)?
Was the study apparently free of other problems that could put it at risk of bias?
Measures of treatment effect
For normally distributed outcomes, we calculated summary estimates of treatment effects using the inverse variance method. For dichotomous outcomes (death, kidney recovery and adverse events), results were expressed as risk ratio (RR) with 95% confidence intervals (CI). Where continuous scales of measurement were used to assess the effects of treatment (length of stay, cost), the mean difference (MD) was used, or the standardised mean difference (SMD) if different scales were used. The results were interpreted taking into account the size of the effect (magnitude or importance) (see CKT 2017; EPOC 2013).
Unit of analysis issues
The unit of analysis was the participants of each arm (early or standard KRT initiation) that died, recovered of kidney function, the length of ICU and Hospital stay, or had adverse events.
Dealing with missing data
Any further information required from the original author was requested by written correspondence (e.g. emailing to the corresponding author), and any relevant information obtained in this manner was included in the review. Evaluation of important numerical data such as screened, randomised patients, as well as intention‐to‐treat, as‐treated and per‐protocol population, was carefully performed. Attrition rates, for example, drop‐outs, losses to follow‐up and withdrawals, were investigated. Issues of missing data and imputation methods (e.g. last‐observation‐carried‐forward) were critically appraised (Higgins 2021).
Assessment of heterogeneity
Heterogeneity was analysed using a Chi² test on N‐1 degrees of freedom, with an alpha of 0.05 used for statistical significance and with the I² test (Higgins 2003). I² values of 25%, 50% and 75% correspond to low, medium and high levels of heterogeneity.
Assessment of reporting biases
If possible, funnel plots were to be used to assess the potential existence of small study bias (Higgins 2021).
Data synthesis
Data were to be pooled using the random‐effects model; however, the fixed‐effect model was also used to ensure the robustness of the model chosen and susceptibility to outliers.
Subgroup analysis and investigation of heterogeneity
Subgroup analysis was used to explore possible sources of heterogeneity (such as intervention, parameters to define early or standard initiation, participant and study quality). Heterogeneity among participants could relate to age, gender, fluid overload (< 10% and > 10% in body weight relative to baseline), and timing of KRT for AKI in homogenous subpopulations such as cardiac surgery or sepsis patients, effects of early initiation on the severity of illness. We used appropriate scores of illness severity, such as Pediatric Risk of Mortality (PRISM), Pediatric Index of Mortality (PIM), Acute Physiology and Chronic Health Evaluation (APACHE), Sequential Organ Failure Assessment (SOFA), and Cleveland Clinic ICU Acute Renal Failure (CCF). Adverse effects were tabulated and assessed using descriptive techniques. Where possible, the risk difference with 95% CI was calculated for each adverse effect, either compared with no treatment or another agent. In addition, where we identified important statistical or clinical heterogeneity, we performed meta‐regression in order to explore the possible causes.
Sensitivity analysis
We performed sensitivity analyses to explore the influence of the following factors on effect size:
Repeating the analysis, excluding unpublished studies
Repeating the analysis taking account of the risk of bias
Repeating the analysis, excluding any very long or large studies to establish how much they dominate the results
Repeating the analysis excluding studies using the following filters: diagnostic criteria, the language of publication, source of funding (industry versus other), and country.
Summary of findings and assessment of the certainty of the evidence
We presented the main results of the review in 'Summary of findings' tables. These tables present key information concerning the quality of the evidence, the magnitude of the effects of the interventions examined, and the sum of the available data for the main outcomes. The 'Summary of findings' tables include an overall grading of the evidence related to each of the main outcomes using the GRADE (Grades of Recommendation, Assessment, Development and Evaluation) approach (GRADE 2008; CKT 2017). The GRADE approach defines the quality of a body of evidence as the extent to which one can be confident that an estimate of effect or association is close to the true quantity of specific interest. The quality of a body of evidence involves consideration of the within‐study risk of bias (methodological quality), directness of evidence, heterogeneity, the precision of effect estimates and risk of publication bias (Schunemann 2021b). Summary of findings table 1 summarizes the main findings for the comparison "Early versus standard initiation of KRT for acute kidney injury". We presented the following outcomes.
Death until day 30 post‐randomisation
Death after day 30 post‐randomisation
Death or non‐recovery of kidney function at 90 days
Kidney function recovery: number of patients free from KRT according to intention‐to‐treat analysis (all patients)
Number of patients with hypotension, hypophosphataemia, cardiac‐rhythm disorder and infections
Length of ICU and hospital stay
Subgroup analysis: death in patients who start KRT according to aetiology of AKI, recovery of kidney function by KRT modality.
Results
Description of studies
See Characteristics of included studies; Characteristics of excluded studies; Characteristics of ongoing studies
Results of the search
Our 2018 review identified five studies (10 reports, 1084 participants) (AKIKI 2015; Bouman 2002; ELAIN 2016; STARRT‐AKI 2019; Sugahara 2004), 84 excluded studies (198 reports), one ongoing study, and one study was awaiting classification.
For this 2022 review update, we searched Cochrane Kidney and Transplant’s Specialised Register, LILACS and undertook additional handsearching and identified 64 new reports of 12 studies. Six new studies (10 reports) (EARLYRRT 2018; FST 2018; STARRT‐AKI Pilot 2013; Tang 2016; Xia 2019; Yin 2018), and one study, previously awaiting classification (one new report) (IDEAL‐ICU 2014), have been included in this update. Four new ongoing studies (four reports) were identified (Maiwall 2018; NCT02937935; CRTSAKI 2021; NCT03343340), and one new study (four reports) was excluded (AKIKI 2 2019). We also identified 44 new reports of existing included and excluded studies. See Figure 1.
A total of 12 studies (35 reports, 4880 randomised participants) have been included, 85 studies excluded (235 reports), and there are five ongoing studies (five reports) in this 2022 update.
Included studies
Twelve studies (4880 participants) were included (AKIKI 2015; Bouman 2002; EARLYRRT 2018; ELAIN 2016; FST 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019; Sugahara 2004; Tang 2016; Xia 2019; Yin 2018).
Study participants were all admitted to ICU. The mean age was between 62.8 and 69 years, and the proportion of males ranged from 49.6% to 70.4%. Surgery or cardio‐surgery was the primary cause of AKI in three studies (Bouman 2002; ELAIN 2016; Sugahara 2004) and mixed (medical or surgical) in the other nine studies (AKIKI 2015; EARLYRRT 2018; FST 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019; Tang 2016; Xia 2019; Yin 2018).
All studies were reported between 2002 and 2019. Six were single‐centre studies (EARLYRRT 2018; ELAIN 2016; Sugahara 2004; Tang 2016; Xia 2019; Yin 2018), and six were multicentre (AKIKI 2015; Bouman 2002; FST 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019).
Eight studies predominantly used CKRT (Bouman 2002; EARLYRRT 2018; ELAIN 2016; FST 2018; Sugahara 2004; Tang 2016; Xia 2019; Yin 2018), and four used combined therapies (intermittent and continuous) (AKIKI 2015; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019).
All the included studies assessed the effects of timing (early and standard) of KRT initiation on clinical outcomes of critical patients with AKI. In Bouman 2002, two of the three arms received the same timing of KRT initiation (early) but differed only in the intensities of continuous therapy. For the purpose of the analysis, we combined these two early treatment arms to create one early arm.
Sugahara 2004 did not report the treatment allocation of 8/36 participants that did not start the treatment. We assumed that they were evenly distributed among treatment arms (18 participants/arm). Similarly, we assumed that these eight participants had a favourable evolution (none of them died, and all of them recovered).
The included studies used a wide spectrum of definitions for early and standard initiation of KRT. Bouman 2002 and Sugahara 2004 defined early KRT initiation based on physiologic (urine output) and biochemical parameters (CrCl/SCr, respectively). Four studies defined early as starting KRT within 8 and 12 hours of fulfilling KDIGO stage 2 (ELAIN 2016; STARRT‐AKI Pilot 2013),12 hours of fulfilling KDIGO stage 2‐3 (STARRT‐AKI 2019), 12 hours after the onset of failure stage of RIFLE (IDEAL‐ICU 2014; Yin 2018), or within 6 hours of fulfilling KDIGO stage 3 (AKIKI 2015) and AKIN stage 2‐3 (Tang 2016). The other three studies used any KDIGO stage and no response to the furosemide test as criteria of early KRT initiation (FST 2018) or an AKI biomarker (e.g. high urinary or serum NGAL) (EARLYRRT 2018; Xia 2019).
Excluded studies
We excluded 85 studies (235 records). Studies were excluded for the following reasons:
Two reports in RENAL 2006 assessed timing; however, the study design was not randomised (retrospective nested cohort)
Five studies did not mandate the presence of AKI (Durmaz 2003; HEROICS 2015; Han 2015; Koo 2006; Payen 2009) or ICU stay as inclusion criteria in the early initiation arm (Jamale 2013; Pursnani 1997)
Two studies did not assess the outcomes of interest to this review (Cole 2002; Misset 1996)
One study (AKIKI 2 2019) had no early intervention arm
The remaining 72 studies did not assess the timing of KRT.
Risk of bias in included studies
Included studies were generally assessed to be at low or unclear risk of bias for most domains; two studies were assessed as high risk for incomplete outcome data (Sugahara 2004) and selective reporting bias (Tang 2016). Risk of bias assessments of the included studies are summarised in Figure 2 and Figure 3.
Allocation
Two studies (Bouman 2002; FST 2018) did not provide detailed information on random sequence generation and allocation concealment processes. Authors were contacted, and we were informed that random sequence generation was appropriate (computer‐generated), and sealed opaque envelopes were used for the allocation process. We did not receive an answer about the allocation process for four studies (Sugahara 2004; Tang 2016; Xia 2019; Yin 2018).
Seven studies (AKIKI 2015; Bouman 2002; ELAIN 2016; EARLYRRT 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019) were assessed as being at low risk of selection bias due to appropriate random sequence generation (computer‐generated) and for allocation concealment.
Random sequence generation and allocation concealment were considered unclear for four studies (Sugahara 2004; Tang 2016; Xia 2019; Yin 2018) as they did not provide sufficient information to enable judgment.
Blinding
Performance bias
Two studies were judged to be at low risk of performance bias (Tang 2016; Yin 2018), and the remaining nine studies were judged to be at unclear risk of performance bias (insufficient information to enable judgment).
Detection bias
All included studies were assessed at low risk of detection bias (outcome measurement was unlikely to be influenced by lack of blinding).
Incomplete outcome data
Sugahara 2004 was assessed at high risk of attrition (data from > 20% of randomised patients were not available for inclusion in the analysis). Intention‐to‐treat analysis was performed in the other 11 studies.
Selective reporting
The selective reporting bias was considered at high risk in Tang 2016 as not all of the expected outcomes were reported.
Other potential sources of bias
Eight studies were judged to be at low risk of bias. Four studies received pharmaceutical industry funding (ELAIN 2016; EARLYRRT 2018; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019), which is a potential source of bias; however, the sponsors had no role in the design, data collection, analysis and results, review or approval of the manuscript so were judge to be at low risk of bias. The funding source was not available in the remaining four studies (Bouman 2002; Sugahara 2004; Tang 2016; Yin 2018), and these were judged to have unclear risk of bias.
Evaluation of publication bias
We constructed a funnel plot to investigate potential publication bias. Meta‐analysis of death at day 30 was analysed. We found reasonable symmetry indicating a low risk of publication bias (Figure 4).
Effects of interventions
The effects of early KRT initiation versus standard for main results and the quality of the evidence are summarised in Table 1.
Death
All 12 studies assessed the effect of different timing of KRT initiation on death. These studies varied in reporting timing: 90 days (ELAIN 2016; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019); 60 days (AKIKI 2015); 28 days after randomisation (Bouman 2002; EARLYRRT 2018; FST 2018; Tang 2016; Xia 2019; Yin 2018); and 14 days after coronary bypass graft surgery (Sugahara 2004).
Compared to standard, early initiation of KRT may have little to no difference on the risk of death at day 30 (Analysis 1.1.1 (12 studies, 4826 participants): RR 0.97, 95% CI 0.87 to 1.09; I² = 29%; low certainty evidence). We assessed the certainty of evidence as low due to concerns about imprecision and heterogeneity. Early start probably made little or no difference to death after 30 days post‐randomisation (Analysis 1.1.2 (7 studies, 4534 participants): RR 0.99, 95% CI 0.92 to 1.07; I² = 6%; moderate certainty evidence) in comparison with standard initiation. We assessed the certainty of evidence as moderate due to concerns about imprecision. The CI included both clinical benefits and harms.
Subgroup analysis and investigation of heterogeneity for death
There was evidence of moderate heterogeneity in the magnitude of the effect among the included studies that measured death at day 30 after randomisation. To explore heterogeneity among participants, we planned to perform pre‐specified subgroup analyses according to the aetiology of AKI by criteria for the time of KRT initiation, modalities of KRT and severity of illness.
The effect of AKI aetiology was considered using two subgroups: patients with AKI secondary to surgical causes and patients with AKI related to non‐surgical causes. Compared to standard, early KRT initiation probably made little or no difference to the risk of death in patients with non‐surgical AKI (Analysis 2.1.1 (9 studies, 4461 participants): RR 1.01, 95% CI 0.94 to 1.09; I² = 0%; moderate certainty evidence) but may be reduced in surgical causes (Analysis 2.1.2 (3 studies, 365 participants): RR 0.65, 95% CI 0.31 to 1.36; I² = 70%; low certainty evidence).
Despite mild heterogeneity between groups, the test for subgroup differences was not statistically significant. This could be explained by the studies being underpowered to detect differences due to the small sample size of the studies with the surgical‐AKI group (Test for subgroup differences: Chi² = 1.40, df = 1; P = 0.24, I² = 28.3%).
The effect of different criteria used to define the time of KRT initiation was assessed using three subgroups: patients starting KRT when fulfilling criteria to stage 2 of KDIGO classification, KDIGO 3 AKI RIFLE‐F stage and AKIN stage 3 criteria, and patients initiating KRT according to other criteria (biomarkers, furosemide stress test). Compared to standard KRT, early strategy may make little or no difference to death in patients initiating KRT according to KDIGO 2 (Analysis 2.2.1 (3 studies, 3258 participants): RR 0.95; 95% CI 0.78 to 1.15; I² = 31%; low certainty evidence), KDIGO 3, AKI RIFLE‐F stage, and AKIN stage 3 (Analysis 2.2.2 (4 studies, 1216 participants): RR 0.95; 95% CI 0.79 to 1.15; I² = 31%; low certainty evidence), or patients starting KRT according to other criteria (Analysis 2.2.3 (3 studies, 218 participants): RR 1.09, 95% CI 0.86 to 1.38; I² = 0%; moderate certainty evidence). There was no heterogeneity between groups (Test for subgroup differences: Chi² = 0.92, df = 2; P = 0.63, I² = 0%).
The effect of KRT modalities was considered using two subgroups: patients with predominantly continuous kidney support and patients who received mixed modalities (continuous and intermittent). Compared to standard, early KRT initiation may make little or no difference to the risk of death in either the patients treated with CKRT (Analysis 2.3.1 (8 studies, 692 participants): RR 0.86, 95% CI 0.65 to 1.14; I²= 48%; low certainty evidence) or patients treated with mixed modalities (Analysis 2.3.2 (4 studies, 4134 participants): RR 1.02, 95% CI 0.94 to 1.10; I² = 0%; moderate certainty evidence). There was no significant heterogeneity between groups (Test for subgroup differences: Chi² = 1.23; df = 1; P = 0.27, I² = 18.8%).
The effect of the severity of illness at baseline was assessed using two subgroups: patients with high and low SOFA scores (> 12 and ≤ 12). Compared to standard, early KRT initiation may make little or no difference to the risk of death in patients with either a SOFA score > 12 (Analysis 2.4.1 ( 3 studies, 819 participants): RR 0.95; 95% CI 0.75 to 1.20; I²= 31%; low certainty evidence) or those with a SOFA score ≤ 12 (Analysis 2.4.2 ( 6 studies, 3870 participants): RR 1.02; 95% CI 0.94 to 1.10; I² = 0%; moderate certainty evidence). There was no heterogeneity between groups (test for subgroup differences: Chi² = 0.35; df = 1; P = 0.55; I² = 0%).
See Table 2.
Sensitivity analysis
The sensitivity analysis was performed excluding studies by the risk of bias and size of the study. When taking risk of bias into account, we observed that Sugahara 2004 contributed to heterogeneity, and, when excluded, heterogeneity was not significant (P = 0.62; I² = 0%). The reason for exclusion was incomplete outcome data (attrition bias), but the overall estimation of effect did not change, and the direction of effects remained constant. We found no changes in heterogeneity when the study with the larger sample size was excluded.
Death or non‐recovery of kidney function at 90 days
This composite outcome was available for six studies (AKIKI 2015; Bouman 2002; ELAIN 2016; STARRT‐AKI 2019; STARRT‐AKI Pilot 2013; Sugahara 2004). Compared with standard, early initiation may make little or no difference to the risk of death or non‐recovery of kidney function at 90 days (Analysis 1.2 (6 studies, 4011 participants): RR 0.91, 95% CI 0.74 to 1.11; I² = 66%; low certainty evidence). We assessed the certainty of evidence as low due to concerns about imprecision and heterogeneity. However, the CIs included clinically important benefits and harms.
Subgroup analysis and investigation of heterogeneity for death or non‐recovery of kidney function at 90 days
Compared to standard, early KRT initiation probably made little or no difference to the risk of death or non‐recovery of kidney function at 90 days with either non‐surgical AKI (Analysis 3.1.1 (3 studies, 3646 participants): RR 1.04, 95% CI 0.97 to 1.11; I² = 0%; moderate certainty evidence), or surgical causes (Analysis 3.1.2 (3 studies, 365 participants): RR 0.66, 95% CI 0.33 to 1.33; I² = 70%; low certainty evidence). The test for subgroup differences was not significant (Chi² = 1.60; df = 1; P = 0.21; I² = 37.5%).
Compared to standard KRT, the early strategy may make little or no difference to death or non‐recovery of kidney function at 90 days in patients initiating KRT according to KDIGO 2 (Analysis 3.2.1 (1 study, 619 participants): RR 0.95; 95% CI 0.79 to 1.11; low certainty evidence), KDIGO 3, AKI RIFLE‐F stage, and AKIN stage 3 (Analysis 3.2.2 (3 studies, 3258 participants): RR 0.91; 95% CI 0.70 to 1.19; I² = 70%; low certainty evidence), or patients starting KRT according to other criteria (Analysis 3.2.3 (2 studies, 134 participants): RR 0.47, 95% CI 0.07 to 3.21; I² = 0%; low certainty evidence). There was no heterogeneity between groups (test for subgroup differences: Chi² = 0.56; df = 2; P = 0.76; I² = 0%).
Compared to standard, early KRT initiation may make little or no difference to the risk of death or non‐recovery of kidney function at 90 days in either patients treated with CKRT (Analysis 3.3.1 (3 studies, 365 participants): RR 0.66, 95% CI 0.33 to 1.33; I²= 70%; low certainty evidence) or patients treated with mixed modalities (Analysis 3.3.2 (3 studies, 3646 participants): RR 1.04, 95% CI 0.97 to 1.11; I² = 0%; moderate certainty evidence). The test for subgroup differences was not significant (Chi² = 1.60; df = 1; P = 0.21; I² = 37.5%).
Compared to standard, early KRT initiation may reduce the risk of death or non‐recovery of kidney function at 90 days in patients with a SOFA score > 12 (Analysis 3.4.1 (2 studies, 331 participants): RR 0.77; 95% CI 0.62 to 0.97; I²= 0%; low certainty evidence), but not in those with a SOFA score ≤ 12 (Analysis 2.4.2 ( 3 studies, 3652 participants): RR 1.04; 95% CI 0.97 to 1.12; I² = 0%; low certainty evidence). The test for subgroup differences was significant (Chi² = 6.07; df = 1; P = 0.01; I² = 83.5%).
Sensitivity analysis
The sensitivity analysis was performed, excluding studies by the risk of bias and studies with large sample sizes. When the analysis was developed taking risk of bias into account, we observed that Sugahara 2004 contributed to heterogeneity, and, when excluded, heterogeneity was not significant (P = 0.12; I² = 46%). The reason for exclusion was study limitation (attrition bias), but the overall estimation of effect did not change, and the direction of effects remained constant. We found no changes in heterogeneity when the studies with larger sample sizes were excluded.
Recovery of kidney function
Ten studies reported information on recovery of kidney function (in all patients and among patients’ survivors). Studies varied in reporting of kidney recovery timing: at 90 days after randomisation (AKIKI 2015; ELAIN 2016; EARLYRRT 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019), 28 days or at hospital discharge (Bouman 2002; Xia 2019; Yin 2018), or 14 days after coronary bypass graft surgery (Sugahara 2004).
Compared to standard, early KRT initiation may make little or no difference to the number of patients free from KRT according to intention‐to‐treat analysis (Analysis 1.3.1 (10 studies, 4717 participants): RR 1.07, 95% CI 0.94 to 1.22; I²=55%; low certainty evidence). We assessed the certainty of evidence as low due to concerns about imprecision and heterogeneity.
Among survivors free from KRT according to intention to treat analysis, after day 30, early initiation of KRT may make little or no difference to the recovery of kidney function compared to standard (Analysis 1.3.2 (10 studies, 2510 participants): RR 1.02, 95% CI 0.97 to 1.07; I² = 69%; low certainty evidence). We assessed the certainty of evidence as low due to concerns about indirectness and heterogeneity. The CIs of both outcomes included clinical benefits and harms.
Subgroup analysis and investigation of heterogeneity recovery of kidney function
There was evidence of heterogeneity in the magnitude of the effect among the included studies that measured recovery of kidney function in all patients at different times after randomisation. To explore heterogeneity among participants, we planned to perform pre‐specified subgroup analyses. Only data for AKI aetiology, parameters of early initiation and modalities were available.
Compared to standard, early KRT initiation may make little or no difference to the recovery of kidney function in patients with AKI related to either surgical causes (Analysis 4.1.1 (3 studies, 365 participants): RR 1.36, 95% CI 0.78 to 2.38; I² = 78%; low certainty evidence) or non‐surgical AKI (Analysis 4.1.2 (7 studies, 4095 participants): RR 1.00, 95% CI 0.91 to 1.11; I² = 27%; low certainty evidence). The test for subgroup differences was not significant (Chi² = 1.10; df = 1; P = 0.29; I² = 9.4%).
Compared to standard, early initiation KRT may make little to no difference to the recovery of kidney function in patients initiating KRT according to KDIGO 2 criteria (Analysis 4.2.1 (3 studies, 3258 participants): RR 1.08, 95% CI 0.86 to 1.36; I² = 70%; low certainty evidence), or KDIGO3, AKI RIFLE‐F stage and AKIN 3 criteria (Analysis 4.2.2 (2 studies, 1107 participants): RR 1.00, 95% CI 0.88 to 1.13; I² = 0%; low certainty evidence), while it may increase kidney recovery according to other criteria (Analysis 4.2.3 (3 studies, 218 participants): RR 1.55; 95% CI 0.95 to 2.53; I² = 26%; low certainty evidence). The test for subgroup differences was not significant, and this could be explained by the small sample size and the small number the studies in each subgroup (test for subgroup differences: Chi² = 3,07; df = 2; P = 0.22; I² = 34.9%).
Compared to standard, early KRT initiation may make little or no difference to the recovery of kidney function in patients treated with CKRT (Analysis 4.3.1 (6 studies, 583 participants): RR 1.42, 95% CI 0.99 to 2.03; I² = 60%; moderate certainty evidence), and in patients treated with mixed modalities (Analysis 4.3.2 (4 studies, 4134 participants): RR 0.96, 95% CI 0.91 to 1.02; I² = 0%; moderate certainty evidence). There was significant heterogeneity between the groups, and the test for subgroup differences was significant (Chi² = 4.27; df =1; P = 0.04; I² = 76.6%). This heterogeneity could be explained by different KRT modalities.
See Table 2.
Sensitivity analysis
The sensitivity analysis was performed, excluding studies at high risk of bias and studies with large sample sizes. When the analysis was developed taking risk of bias into account, we observed that Sugahara 2004 contributed to heterogeneity, and when excluded, heterogeneity was not significant (P = 0.08; I² = 44%). The reason for exclusion was study limitation (attrition bias); however, the overall estimation of effect did not change, and the direction of effects remained constant. We found no changes in heterogeneity when the study with a larger sample size was excluded.
Adverse events
The effects of the timing of KRT initiation on adverse events were reported in seven studies (AKIKI 2015; Bouman 2002; ELAIN 2016; IDEAL‐ICU 2014; FST 2018; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019).
It is uncertain whether early KRT initiation increases or reduces the number of patients who experienced any adverse events compared to standard (Analysis 1.4.1 (5 studies, 3983 participants): RR 1.23, 95% CI 0.90 to 1.68; I² = 91%; very low certainty evidence). We assessed the certainty of evidence to be very low due to concerns about imprecision and very serious inconsistency.
Early KRT initiation increased the risk of hypophosphataemia (Analysis 1.4.2 (1 study, 2927 participants): RR 1.80, 95% CI 1.33 to 2.44), hypotension (Analysis 1.4.3 (5 studies, 3864 participants): RR 1.54, 95% CI 1.29 to 1.85; I² = 0%), cardiac‐rhythm disorder (Analysis 1.4.4 (6 studies, 4483 participants): RR 1.35, 95% CI 1.04 to 1.75; I² = 16%), and infection (Analysis 1.4.5 (5 studies, 4252 participants): RR 1.33, 95% CI 1.00 to 1.77; I² = 0%); with high certainty evidence.
Early start probably reduced the risk of bleeding (Analysis 1.4.6 (6 studies, 4358 participants): RR 0.91, 95% CI 0.73 to 1.18; I² = 4%; moderate certainty evidence). We assessed the certainty of evidence as moderate due to concerns about imprecision. However, it is uncertain whether early start of KRT increases or decreases the risk of thrombocytopenia (Analysis 1.4.7 (1 study, 106 participants): RR 1.03, 95% CI 0.20 to 5.35; very low certainty evidence) compared with standard initiation. We assessed the certainty of evidence as very low due to concerns about very serious imprecision and study limitation (small sample size).
Sensitivity analysis
The sensitivity analysis was performed, excluding studies at high risk of bias and studies with large sample sizes. When the analysis was developed taking the study with a larger sample size into account, we found that STARRT‐AKI 2019 contributed to heterogeneity, and when was excluded, heterogeneity decreased but remained significant (P = 0.03; I² = 66%). The reason for exclusion was a large study; however, the overall estimation of effect did not change, and the direction of effects remained constant. We found no changes in heterogeneity when the study at high risk of bias was excluded.
Length of stay
Seven studies assessed the effect of timing on length of stay (AKIKI 2015; Bouman 2002; ELAIN 2016; FST 2018; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019).
Early KRT initiation probably reduces the number of days in ICU (Analysis 1.5.1 (5 studies, 4240 participants): MD ‐1.01 days, 95% CI ‐1.60 to ‐0.42; I² = 0%; moderate certainty evidence) compared to standard. We assessed the certainty of evidence as moderate due to concerns about indirectness.
Likewise, early KRT probably reduces the number of days in hospital compared with standard KRT initiation (Analysis 1.5.2 (7 studies,4589 participants): MD ‐2.45 days, 95% CI ‐4.75 to ‐0.14; I² = 10%; moderate certainty evidence). We assessed the certainty of evidence as moderate due to concerns about indirectness.
Cost
This outcome was not reported by any of the included studies. We did not identify high‐quality non‐RCTs reporting safety and cost outcomes.
Meta‐regression
Considering that we found statistical and clinical heterogeneity on main outcomes, we performed non‐prespecified meta‐regression using STATA 14.1 to explore the effect of co‐variables for which we had data.
Type of participants (patients with AKI related to non‐surgical causes or patients with AKI related to surgical causes)
Fluid overload (FO) after randomisation, based on the three categories (FO ≤ 3 L, FO = 3 to < 6 L and FO ≥ 6 L)
Absolute difference in fluid overload after randomisation between standard group minus interventions group
KRT modality (continuous and intermittent + continuous)
Hypotension: difference between the percentage of patients with hypotension in the early group minus the standard group.
We performed meta‐regression on the primary and secondary outcomes with results of six to nine studies: death at day 30, kidney recovery function in all patients, and hospital length of stay. We did not find significant results explaining sources of heterogeneity using this analysis. None of the explanatory variables analysed influenced the size of the intervention or affected the outcomes evaluated. Details on the definitions of variables, data set, and outcomes measures are available in Appendix 3
In order to show some aspects of the heterogeneous results, we present crude results of the investigated outcomes for the six and nine included studies. The files of the table were ordered from top to bottom by type of patient, fluid overload, the difference in the amount of fluid overload after randomisation, hypotension, and KRT modality between groups (See Appendix 4; Appendix 5; Appendix 6).
Discussion
Summary of main results
Our systematic review and subsequent meta‐analysis examined the effect of different timing of initiation of KRT on death, kidney recovery function, length of stay, and adverse events among 4880 randomised critically ill patients with AKI. Most of the included studies were assessed as having a low or unclear risk of bias for all domains. Two studies were assessed as having a high risk bias, one for incomplete outcome data (attrition bias) and the other for selective reporting (reporting bias).
Within the time of KRT initiation assessed, earlier start may have no beneficial effect on death or recovery of kidney function (in all patients) compared to standard strategy.
Within the time of KRT initiation assessed, earlier start may have little to no difference on death at day 30. The overall estimated effects on risk of death showed clinically small benefits (decreased death by 3%), but the CIs were sufficiently wide to include benefits and harm (imprecision), with a low level of heterogeneity (I² = 29%; inconsistency). The 3% relative risk reduction (RRR) in death at day 30 in the early KRT group is related to a reduction in absolute risk observed in only 12 of 1000 patients (50 less or 35 more than those treated with late KRT), thus assuming little to no effect on death.
Early strategy probably makes little to no difference on death after day 30, with imprecision and without inconsistency (I² = 6%).
Early strategy may make little or no difference to the risk of death or non‐recovery of kidney function at day 90. The overall estimated effects on risk of death showed clinical benefits (decreased death by 9%), but the CIs were sufficiently wide to include benefits and harm (imprecision), with a moderate level of heterogeneity (I² = 66%; inconsistency). However, when we removed Sugahara 2004, the I² is reduced to 46%, and the imprecision was also reduced. There are no significant differences between the groups (subgroup test P = 0.12, I² = 43%). The RR went from 0.91 (95% CI 0.74 to 1.11) to 0.96 (95% CI 0.83 to 1.10), which is compatible with little to no difference in death or non‐recovery kidney function at day 90. This study was assessed as having a high risk of bias by incomplete outcome data (attrition bias) (See Sensitivity analysis and Overall completeness and applicability of evidence).
Early start may make little or no difference to the number of patients who recovered kidney function. CIs included damage (imprecision), with a moderate level of heterogeneity (I² = 55%; inconsistency). There was little to no difference in kidney recovery among survivors between interventions. However, reporting kidney recovery among survivors alone does not preserve the previously achieved randomisation. Therefore, the interpretation of this result may be misleading, given death is a competing endpoint for recovery of kidney function in patients with a high short‐term risk of death (indirectness). However, when we removed three studies (EARLYRRT 2018; Sugahara 2004; Xia 2019), the I² was reduced to 25%. The RR went from 1.07 (95% CI 0.94 to 1.22) to RR 1.00 (95% CI 0.92 to 1.09), which is compatible with little to no difference in the recovery of kidney function. These studies were sources of heterogeneity probably due to selection bias (Sugahara 2004; Xia 2019), attrition bias (Sugahara 2004) and no blinding (EARLYRRT 2018; Sugahara 2004; Xia 2019), thus limiting the internal validity. Xia 2019 and EARLYRRT 2018 used AKI‐biomarker (high level of urinary or serum NGAL) as criteria for early KRT initiation.
It is uncertain whether early KRT initiation increases or reduces the number of patients who experienced any adverse events compared to standard, with a substantial level of heterogeneity (I² = 91%; inconsistency). Nevertheless, the early strategy did increase the risk of hypophosphataemia, hypotension, cardiac rhythm disorder and infections, although it had uncertain effects on thrombocytopenia and the risk of bleeding when compared to standard initiation.
Early start probably reduces the length of ICU and hospital stay (number of days). The magnitude of the possible benefit was clinically relevant (‐1.01 days to ‐2.45 days, respectively). These results should be interpreted with caution owing to the indirectness observed (in this population, death is a competing endpoint for the length of stay).
With a focus on the effect size of the central estimation (magnitude or importance), we observed that early initiation may make little to no difference to death, may improve the recovery of kidney function, probably reduces the length of ICU and hospital stay, while it increased the risk of adverse events. However, all results (except any adverse events and length of stay) were imprecise because the CIs crossed both the important effect threshold and the no difference threshold.
An important limitation of this systematic review was the low to moderate heterogeneity found in the main results, as death at day 30 (I² = 29%), death or non‐recovery of kidney function at 90 days (I² = 66%), and on recovery of kidney function in all patients (I² = 55%). There was no heterogeneity identified for the length of stay, and adverse events (hypophosphataemia, hypotension, cardiac rhythm disorder and infections), except for the number of patients with any adverse event (I² = 91%).
We explored this heterogeneity by prespecified subgroup analyses: aetiology of AKI, according to criteria used to define the timing of KRT initiation, modalities of KRT, and the severity of illness at baseline. The subgroup modality of KRT initiation was identified as a source of heterogeneity in the size of the effect observed in the recovery of kidney function (test for subgroup differences: Chi² = 4.27; P = 0.04; I² = 76.6%). These results should be interpreted with caution as only five small studies contributed to these data. Notably, several studies reported that there were more hypotension events with intermittent haemodialysis, which was more likely to result in haemodynamic instability than CKRT, with a lower likelihood of kidney recovery after AKI.
In the subgroup of aetiology of AKI, we observed a reduction in death (35%) in patients with surgery‐acquired compared to those patients with non‐surgery‐acquired AKI (increased risk 1%). Despite some heterogeneity (I² = 28.3%) between groups, the test for subgroup difference was not statistically significant. This could be explained by the studies being underpowered to detect differences due to the small sample size of the studies with the surgical‐AKI group. However, if we remove Sugahara 2004, the I² is reduced to 13%, and the imprecision is also reduced. The RR goes from 0.65 (95% CI 0.31 to 1.36) to 0.84 (95% CI 0.59 to 1.20). The effect size is lower but still clinically relevant. This study was assessed as having a high risk of bias by incomplete outcome data (attrition bias) (See Overall completeness and applicability of evidence).
In the subgroup of KRT modalities reduction in death (14%) was observed in patients with CKRT compared to those patients with mixed KRT modality (increased risk 2%). Without heterogeneity (I² = 0%) between groups, the test for subgroup difference was not statistically significant. However, when we removed Sugahara 2004, the I² is reduced from 48% to 7%, and the imprecision was also reduced. The RR goes from 0.86 (95% CI 0.65 to 1.14) to 0.93 (95% CI 0.77 to 1.13) (See Overall completeness and applicability of evidence).
In the subgroup of aetiology of AKI, we observed an increase in kidney recovery rate (36%) in patients with surgery‐acquired compared to those patients with non‐surgery‐acquired AKI. Without (I² = 9.4%) between groups, the test for subgroup difference was not statistically significant. This could be explained by the underpowered to detect differences due to the small sample size of the studies with the surgical‐AKI group. However, if we remove Sugahara 2004, the I² is reduced to 0%, and the imprecision was also reduced. The RR goes from 1.36 (95% CI 0.78 to 2.38) to 1.12 (95% CI 0.72 to 1.74). The effect size is lower but still clinically relevant. This study was assessed as having a high risk of bias by incomplete outcome data (attrition bias) (See Overall completeness and applicability of evidence).
For the death or non‐recovery of kidney function at 90 days, the subgroups aetiology (surgical and non‐surgical), initiation criteria KDIGO 2, KDIGO 3, AKI RIFLE‐F stage, and AKIN stage 3, or other criteria) and modality (CKRT or mixed KRT) made little or no difference to this outcome. Early initiation may reduce the risk of death or non‐recovery of kidney function at 90 days in patients with a SOFA score > 12 but not in those with a SOFA score ≤ 12.
RCTs focusing on the timing of KRT initiation for paediatric AKI patients were not available.
Overall completeness and applicability of evidence
Although the analyses included data obtained from a comprehensive and rigorous search, we identified gaps in several areas. The majority of participants in the included studies were adults, limiting the applicability of our finding to children. In general, the incidence of AKI secondary to sepsis in ICU is high; however, in three studies, it was observed that the majority of patients had post‐surgical AKI, and relatively few had sepsis or pre‐existing chronic kidney disease (CKD), limiting the applicability of our results to general ICU population.
Six studies were single‐centre, and all were unblinded, limiting the external and internal validity of the results, respectively.
Data on the number of patients with any adverse events were limited and only provided by five of the 12 studies in our review.
Few studies reported data for KRT dosage and volume overload; we are aware that it is an important issue to consider in relation to death in critically ill patients with AKI.
Most of the studies did not report data on death in patients with pre‐existing CKD.
There were large variations in the definition of the timing of KRT initiation among included studies. Heterogeneous indicators such as different serum urea or SCr levels, urine output, time from randomisation and time to fulfil KDIGO AKI stage, biochemical markers and furosemide test are widely used to measure the timing of KRT; however, this approach provides an incomplete assessment of optimal timing of KRT initiation in this population and limits the applicability of our results.
It is important to highlight the absence of data related to the characteristics and evolution of patients randomised to the standard or late arm who did not receive dialysis treatment. These data would allow us to develop a propensity‐based analysis of patients in the accelerated group and among those who did not receive KRT in the standard/delayed strategy in order to define where these patients could have had a better outcome.
We were unable to address all of the objectives of this review due to the lack of data in the included studies. Also, we did not have individual patient data for the different subgroups of the modality of KRT and aetiology of AKI, being a limitation of our review
The RCTs included as well as recent research by Gaudry 2020, provided new knowledge and tools, such as the use of furosemide stress test or emerging biomarkers of persistent severe AKI and clinical judgment, that will help us define the optimal KRT initiation time in order to recognize when early KRT initiation may be essential for better outcomes or unnecessary due to potential harms for AKI‐patients in ICU.
We included only RCTs with the purpose of reducing bias.
Quality of the evidence
We conducted this review according to the process described in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2021). Our review was based on evidence from 12 RCTs (4880 randomised participants) that compared different timing of KRT initiation in critically ill patients with AKI. The certainty evidence for our main outcomes was drawn from studies assessed at low risk of bias for random sequence generation and allocation concealment processes, incomplete outcomes data, intention to treat analysis, selective outcomes reporting, performance and detection bias and other sources of bias; as well as unclear risk for detection bias. Two studies were at high risk of bias by incomplete outcome data (attrition bias) and selective reporting (reporting bias). Three small studies had an unclear risk of selection bias.
Data comparing the effect of early KRT initiation against standard initiation on death at day 30 or after were obtained from 12 and seven well‐conducted RCTs, respectively, but we downgraded the certainty of evidence to low, mainly due to inconsistency (I² = 29%) and imprecision (CIs included a range of plausible value with clinically important benefits, but also harm), and rated it as moderate by imprecision for death after 30 days. Similarly, we downgraded the certainty of evidence to low for recovery of kidney function in all patients due to imprecision and inconsistency (I² = 55%) and rated as low data obtained for recovery of kidney function among survivors by inconsistency (I² = 69%) and indirectness (the recovery of kidney function in this high‐risk group is affected when the risk of death is taken into account).
Data used to assess the impact of early versus standard initiation of KRT on adverse events were obtained from eight well‐conducted RCTs, providing treatment effects with clinically important harms for hypophosphataemia, hypotension, cardiac‐rhythm disorder and infections. We rated this as high‐certainty evidence. Six studies reported the number of patients with bleeding; and were rated as moderate by imprecision. One study provided data on the number of patients with thrombocytopenia; we downgraded the certainty of evidence to very low due to serious imprecision and study limitation (one study with a small sample size). In the same way, we downgraded the certainty of evidence as very low owing to imprecision and substantial inconsistency (I ²= 91%) observed in the number of patients with some kind of adverse event (data provided by five RCTs).
Length of ICU and hospital stay was reported by five and seven RCTs, respectively; we downgraded the certainty of evidence to moderate due to indirectness, as death is a competing endpoint for the length of stay in this population.
Potential biases in the review process
While this review was conducted according to rigorous methods developed by the Cochrane Collaboration, some bias may be present in the review process. We searched for all relevant studies using sensitive and validated strategies in major medical databases and grey literature sources. However, it is possible that some studies (such as unpublished data and studies with negative or no effects) were not identified. An analysis of evidence to assess the risk of publication bias was not possible for all outcomes due to the number of studies available in each meta‐analysis (Figure 4).
Several subgroup analyses were planned to explore potential sources of heterogeneity in our review; however, a lack of data prevented us from performing these analyses.
Agreements and disagreements with other studies or reviews
Our systematic review, in keeping with previous meta‐analyses on timing in KRT (Gaudry 2020; Li 2021; Naorungroj 2021; Pan 2021), found that earlier KRT initiation may have no beneficial effect on death in critically ill patients with AKI compared with later strategy. These results were not consistent with two other systematic reviews that included randomised and observational studies (Seabra 2008; Wierstra 2016) and other meta‐analyses based only on RCTs (Mavrakanas 2017; Wang 2017; Xu 2017)
The hypothesis that critical AKI patients, especially those with acidaemia, fluid overload, or systemic inflammation, could benefit from early KRT was proposed by several researchers. Our review has found that early strategy may have little to no difference on death at day 30. This result is consistent with five multicentre RCTs (AKIKI 2015; Bouman 2002; IDEAL‐ICU 2014; STARRT‐AKI Pilot 2013; STARRT‐AKI 2019) but does not agree with those reported in three individual RCTs (ELAIN 2016; Tang 2016; Sugahara 2004)
It is important to note that differences in death between AKIKI 2015 and ELAIN 2016 were observed (41.6% versus 30.4% at day 30, respectively). These differences may be due to several factors, which include: different severity levels and aetiology of AKI, e.g. prevalence of patients with AKI related to surgical cause in the ELAIN 2016 or septic AKI‐patients was more frequent in AKIKI 2015; both aetiologies have different pathophysiology and prognosis), and variable criteria for defining early KRT initiation (KDIGO AKI stage 3 for AKIKI 2015 and KDIGO AKI stage 2 for ELAIN 2016).
Other timing criteria were observed: serum and urinary biomarkers (EARLYRRT 2018; Xia 2019), or furosemide test (FST 2018), and the equipoise judgment of clinicians for inclusion in the standard arm (STARRT‐AKI Pilot 2013; STARRT‐AKI 2019) (See Overall completeness and applicability of evidence).
There has been increased interest in the recovery of kidney function. Indeed, lack of recovery of kidney function implies the need for long‐term dialysis associated with low quality of life and high health costs. Our review has found that early strategy may have a slightly beneficial effect on the recovery of kidney function in all patients. This finding is consistent with two individual RCTs (ELAIN 2016; Sugahara 2004) (with high kidney recovery rate), and does not agree with the other three multicentre RCTs (AKIKI 2015; Bouman 2002; STARRT‐AKI Pilot 2013). Differences in the recovery of kidney function between studies may be due to the same factors mentioned above. However, in patients with a high short‐term death risk, the interpretation of this result may be misleading, given that death is a competing endpoint for recovery of kidney function (Palevsky 2005).
Patients with AKI experience longer ICU and hospital stays. In our review, the earlier strategy probably reduce ICU and hospital length of stay; this result is consistent with individual RCTs and meta‐analyses (ELAIN 2016; STARRT‐AKI Pilot 2013; Naorungroj 2021) and does not agree with other RCT reports (AKIKI 2015; IDEAL‐ICU 2014) and meta‐analyses (Gaudry 2020; Li 2021). However, the length of stay in this high‐risk population may be affected when death is taken into account.
There was an increased risk in the number of patients who had specific adverse events with early initiation of KRT compared with standard. Our results were consistent with other RCTs (Bouman 2002; STARRT‐AKI 2019) and meta‐analyses (Li 2021; Naorungroj 2021).
Our review has an important limitation due to the heterogeneity observed in the main outcomes. Only in kidney recovery did we find an association between the estimated effect and KRT modality in agreement with a recent meta‐analysis (Pan 2021). We were unable to address all of the pre‐specified subgroup analyses of this review due to the lack of data in the included studies.
Our review includes studies of different countries (Europe, North America and Asia) which increase the applicability of these results.
Previous reviews explored the effect of time to KRT initiation in patients with AKI; however, these reviews included studies that we excluded from our review due to the following factors: different inclusion criteria applied, e.g. hospitalised patients were not in an ICU setting (Pursnani 1997) or did not require AKI for enrolment in the early arm (Durmaz 2003; HEROICS 2015; Jamale 2013; Koo 2006) and differences in the methodological studies design (cohort studies). Although the abundance of cohort studies provided more power (increases the sample size) to find significant clinical differences between both treatments, these studies have important limitations: patients between intervention groups were different (e.g. patients assigned to late arm treatment might have died before initiating the therapy, while others who lived enough to be assigned to the late group might have been less sick or with a high likelihood of recovering kidney function without KRT). A relevant point worth considering is that patients do not have the same opportunity to receive early or standard treatment (allocation or selection bias). Consequently, to minimise the risk of bias in our review, we included only RCTs for our main outcomes.
Authors' conclusions
Implications for practice.
Earlier KRT may have little to no difference to death at day 30 or recovery of kidney function, although in both results, the CIs included clinical benefits and harm.
Earlier KRT initiation probably reduces ICU and hospital length of stay. Nevertheless, an increased risk of adverse events was observed when compared to a later KRT strategy.
The absence of high‐quality evidence of efficacy and the possibility of increased adverse events do not support the routine use of early KRT in critically ill patients with AKI.
These results do not minimise the importance of the timing of KRT in this population but rather reinforce the need to better understand in what cases earlier initiation translates into improved patient outcomes. Minimal standards for the initiation of KRT appear to have been identified in different guidelines (KDIGO 2012; NICE 2013; Vinsonneau 2015); however, these approaches provide an incomplete assessment of the optimal timing of KRT.
Recent RCTs that investigated timing have provided relevant information and tools which, if added to clinical judgment, will contribute to opportune dialysis interventions and improve the survival of this population. So far, given the low‐moderate certainty evidence observed in the main outcomes, decisions regarding the optimal timing of KRT should remain based on individual patients' characteristics and clinician judgment.
Implications for research.
Given the persistently high death rate among critically ill AKI patients, it would be important to accurately determine the effect of timing of KRT on death. In view of the inconsistencies observed in the main outcomes and the inability to assess all possible causes of heterogeneity, it would be advisable to perform a propensity‐based analysis between patients in the early strategy and those who did not receive KRT in the standard group to define whether these patients could have had a better outcome (Bouchard 2020). In addition, KRT intensity during therapy needs to be rigorously evaluated.
Although recent studies would seem to favour delayed KRT initiation, there are likely to be limited to how long KRT can be safely delayed. However, the optimal point in time beyond which the benefits of KRT can be maintained is not known. Therefore, adequately‐powered RCTs should include appropriate and reproducible criteria to define the optimal time of KRT are needed. At present, five ongoing RCTs (CRTSAKI 2021; Maiwall 2018; NCT00837057; NCT02937935; NCT03343340) in this area will provide more answers that will guide clinical practice.
What's new
Date | Event | Description |
---|---|---|
4 August 2022 | New citation required and conclusions have changed | New studies added |
4 August 2022 | New search has been performed | New search, new studies added |
History
Protocol first published: Issue 6, 2013 Review first published: Issue 12, 2018
Date | Event | Description |
---|---|---|
26 September 2017 | New search has been performed | Search strategies for MEDLINE, EMBASE & CENTRAL updated to reflect change in title |
Acknowledgements
The authors wish to thank the referees for their advice and feedback during the preparation of this review update: Hugo Norberto Catalano MD PhD (Professor UBA and USAL), Paul M. Palevsky, MD (University of Pittsburgh School of Medicine), John R Prowle (Queen Mary University of London), Ron Wald (St. Michael's Hospital, Toronto, ON, Canada).
The authors would also like to thank all study authors who provided additional information about their studies and Daniel Comandé, Librarian of the Institute for Clinical Effectiveness and Health Policy (Argentina) for his help in search for the literature.
We would like to thank Cochrane Kidney and Transplant for their help with this update and especially to Marta Roque Figuls, Iberoamerican Cochrane Centre for her support and editorial advice during the reporting of this systematic review.
Appendices
Appendix 1. Electronic search strategies
Database | Search terms |
CENTRAL |
|
MEDLINE |
|
EMBASE |
|
LILACS |
|
Appendix 2. Risk of bias assessment tool
Potential source of bias | Assessment criteria |
Random sequence generation Selection bias (biased allocation to interventions) due to inadequate generation of a randomised sequence |
Low risk of bias: Random number table; computer random number generator; coin tossing; shuffling cards or envelopes; throwing dice; drawing of lots; minimisation (minimisation may be implemented without a random element, and this is considered to be equivalent to being random) |
High risk of bias: Sequence generated by odd or even date of birth; date (or day) of admission; sequence generated by hospital or clinic record number; allocation by judgement of the clinician; by preference of the participant; based on the results of a laboratory test or a series of tests; by availability of the intervention | |
Unclear: Insufficient information about the sequence generation process to permit judgement | |
Allocation concealment Selection bias (biased allocation to interventions) due to inadequate concealment of allocations prior to assignment |
Low risk of bias: Randomisation method described that would not allow investigator/participant to know or influence intervention group before eligible participant entered in the study (e.g. central allocation, including telephone, web‐based, and pharmacy‐controlled, randomisation; sequentially numbered drug containers of identical appearance; sequentially numbered, opaque, sealed envelopes) |
High risk of bias: Using an open random allocation schedule (e.g. a list of random numbers); assignment envelopes were used without appropriate safeguards (e.g. if envelopes were unsealed or non‐opaque or not sequentially numbered); alternation or rotation; date of birth; case record number; any other explicitly unconcealed procedure | |
Unclear: Randomisation stated but no information on method used is available | |
Blinding of participants and personnel Performance bias due to knowledge of the allocated interventions by participants and personnel during the study |
Low risk of bias: No blinding or incomplete blinding, but the review authors judge that the outcome is not likely to be influenced by lack of blinding; blinding of participants and key study personnel ensured, and unlikely that the blinding could have been broken |
High risk of bias: No blinding or incomplete blinding, and the outcome is likely to be influenced by lack of blinding; blinding of key study participants and personnel attempted, but likely that the blinding could have been broken, and the outcome is likely to be influenced by lack of blinding | |
Unclear: Insufficient information to permit judgement | |
Blinding of outcome assessment Detection bias due to knowledge of the allocated interventions by outcome assessors. |
Low risk of bias: No blinding of outcome assessment, but the review authors judge that the outcome measurement is not likely to be influenced by lack of blinding; blinding of outcome assessment ensured, and unlikely that the blinding could have been broken |
High risk of bias: No blinding of outcome assessment, and the outcome measurement is likely to be influenced by lack of blinding; blinding of outcome assessment, but likely that the blinding could have been broken, and the outcome measurement is likely to be influenced by lack of blinding | |
Unclear: Insufficient information to permit judgement | |
Incomplete outcome data Attrition bias due to amount, nature or handling of incomplete outcome data. |
Low risk of bias: No missing outcome data; reasons for missing outcome data unlikely to be related to true outcome (for survival data, censoring unlikely to be introducing bias); missing outcome data balanced in numbers across intervention groups, with similar reasons for missing data across groups; for dichotomous outcome data, the proportion of missing outcomes compared with observed event risk not enough to have a clinically relevant impact on the intervention effect estimate; for continuous outcome data, plausible effect size (difference in means or standardised difference in means) among missing outcomes not enough to have a clinically relevant impact on observed effect size; missing data have been imputed using appropriate methods |
High risk of bias: Reason for missing outcome data likely to be related to true outcome, with either imbalance in numbers or reasons for missing data across intervention groups; for dichotomous outcome data, the proportion of missing outcomes compared with observed event risk enough to induce clinically relevant bias in intervention effect estimate; for continuous outcome data, plausible effect size (difference in means or standardised difference in means) among missing outcomes enough to induce clinically relevant bias in observed effect size; ‘as‐treated’ analysis done with substantial departure of the intervention received from that assigned at randomisation; potentially inappropriate application of simple imputation | |
Unclear: Insufficient information to permit judgement | |
Selective reporting Reporting bias due to selective outcome reporting |
Low risk of bias: The study protocol is available and all of the study’s pre‐specified (primary and secondary) outcomes that are of interest in the review have been reported in the pre‐specified way; the study protocol is not available but it is clear that the published reports include all expected outcomes, including those that were pre‐specified (convincing text of this nature may be uncommon) |
High risk of bias: Not all of the study’s pre‐specified primary outcomes have been reported; one or more primary outcomes is reported using measurements, analysis methods or subsets of the data (e.g. sub scales) that were not pre‐specified; one or more reported primary outcomes were not pre‐specified (unless clear justification for their reporting is provided, such as an unexpected adverse effect); one or more outcomes of interest in the review are reported incompletely so that they cannot be entered in a meta‐analysis; the study report fails to include results for a key outcome that would be expected to have been reported for such a study | |
Unclear: Insufficient information to permit judgement | |
Other bias Bias due to problems not covered elsewhere in the table |
Low risk of bias: The study appears to be free In order to show some aspects of the heterogeneity result, in this table we show other sources of bias |
High risk of bias: Had a potential source of bias related to the specific study design used; stopped early due to some data‐dependent process (including a formal‐stopping rule); had extreme baseline imbalance; has been claimed to have been fraudulent; had some other problem | |
Unclear: Insufficient information to assess whether an important risk of bias exists; insufficient rationale or evidence that an identified problem will introduce bias |
Appendix 3. Meta‐regression
Stata 14.1 outputs exploring the effect of several explanatory variables on primary and secondary outcomes with six or more included studies: death at day 30, recovery of kidney function, length of hospital and ICU stay. The covariates included in the models were: type of participant (typepatient); Fluid overload after randomisation in three categories(catpat); difference in the fluid overload after randomisation in the early group minus the standard group (Dif). The explanatory variables were defined as follows:
We analysed several models for each outcomes. We present the model with the three covariates of each outcomes, including the full output of the STATA 14.1 statistics. In each model the covariates were typed in bold (see definitions above). The other code in tables were:
It is important to state the limitations of this meta‐regression because of the limited studies (9) for the number of covariates in the model. Death at day 30 . xi: metareg logrr i.catpat typepatient dif, wsse(selogrr) bsest(reml) i.catpat _Icatpat_1‐2 (naturally coded; _Icatpat_1 omitted) note: _Icatpat_2 dropped because of collinearity numerical derivatives are approximate nearby values are missing Meta‐regression Number of obs = 6 REML estimate of between‐study variance tau2 = 0 % residual variation due to heterogeneity I‐squared_res = 0.00% Proportion of between‐study variance explained Adj R‐squared = .% Joint test for all covariates Model F(2,3) = 1.47 With Knapp‐Hartung modification Prob > F = 0.3598 See. Appendix 4.1 Death at day 30 . xi: metareg logrr hipot typepatient dif, wsse(selogrr) bsest(reml) Meta‐regression Number of obs = 9 REML estimate of between‐study variance tau2 = 0 % residual variation due to heterogeneity I‐squared_res = 31.02% Proportion of between‐study variance explained Adj R‐squared = .% Joint test for all covariates Model F(3,5) = 0.93 With Knapp‐Hartung modification Prob > F = 0.4902 See. Appendix 4.2 Death at day 30 . metareg logrr hipot typepatient dif modal, wsse(selogrr) bsest(reml) Meta‐regression Number of obs = 9 REML estimate of between‐study variance tau2 = 0 % residual variation due to heterogeneity I‐squared_res = 44.13% Proportion of between‐study variance explained Adj R‐squared = .% Joint test for all covariates Model F(4,4) = 0.58 With Knapp‐Hartung modification Prob > F = 0.6954 See. Appendix 4.3 Recovery of Kidney function in all patients . xi: metareg logrri.catpat typepatient dif, wsse(selogrr) bsest(reml) i.catpat _Icatpat 1‐2 (naturally coded; _Icatpat_1 omitted) Meta‐regression Number of obs = 6 REML estimate of between‐study variance tau2 = .007724 % residual variation due to heterogeneity I‐squared_res = 11.26% Proportion of between‐study variance explained Adj R‐squared = 44.71% Joint test for all covariates Model F (3,2) = 1.42 With Knapp‐Hartung modification Prob > F = 0.4389 See. Appendix 5.1 Renal recovery function in all patients . metareg logrr hipot typepatient dif, wsse(selogrr) bsest(reml) Meta‐regression Number of obs = 9 REML estimate of between‐study variance tau2 = .01708 % residual variation due to heterogeneity I‐squared_res = 53.90% Proportion of between‐study variance explained Adj R‐squared = ‐214.78% Joint test for all covariates Model F(3,5) = 0.32 With Knapp‐Hartung modification Prob > F = 0.8136 See. Appendix 5.2 Renal recovery function in all patients metareg logrr hipot typepatient dif modal, wsse(selogrr) bsest(reml) Meta‐regression Number of obs = 9 REML estimate of between‐study variance tau2 = .02433 % residual variation due to heterogeneity I‐squared_res = 59.28% Proportion of between‐study variance explained Adj R‐squared = ‐348.52% Joint test for all covariates Model F(4,4) = 0.30 With Knapp‐Hartung modification Prob > F = 0.8624. See. Appendix 5.3 Length at hospital stay metareg typepatient modal, wsse(_seES) bsest(reml) Meta‐regression Number of obs = 7 REML estimate of between‐study variance tau2 = .1255 % residual variation due to heterogeneity I‐squared_res = 76.81% Proportion of between‐study variance explained Adj R‐squared = 47.28% With Knapp‐Hartung modification See Appendix 6 |
Appendix 4. Death at day 30
Appendix 5.1 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
typepatient | ‐.3186244 | .1861809 | ‐1.71 | 0.186 | ‐.911135 | .2738862 |
dif | 1.66e‐06 | .0001456 | 0.01 | 0.992 | ‐.0004616 | .0004649 |
_cons | .033581 | .0862504 | 0.39 | 0.723 | ‐.2409064 | .3080684 |
a Relative Risk | ||||||
Interpretation of Death at day 30. None of the covariates had a statistically significant influence on the size of the effect of the interventions on death at day 30. |
Appendix 5.2 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
hypot | .0795709 | .1422428 | 0.56 | 0.600 | ‐.2860758 | .4452176 |
typepatient | ‐.3100715 | .2049243 | ‐1.51 | 0.191 | ‐.8368462 | .2167031 |
dif | ‐.0001102 | .0005975 | ‐0.18 | 0.861 | ‐.0016461 | .0014257 |
_cons | ‐.0309248 | .1053141 | ‐0.29 | 0.781 | ‐.30164331 | .2397937 |
a Relative Risk | ||||||
Interpretation of Death at day 30. None of the covariates had a statistically significant influence on the size of the effect of the interventions on death at day 30 |
Appendix 5.3 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
hypot | .069663 | .1635693 | 0.43 | 0.692 | ‐.3844781 | .5238041 |
typepatient | ‐.3454696 | .2777644 | ‐1.24 | 0.282 | ‐1.116667 | .4257279 |
dif | ‐0.000345 | .0006119 | ‐0.06 | 0.958 | ‐.0017335 | .0016644 |
modal | .0467809 | .2107168 | 0.22 | 0.835 | ‐.5382627 | .6318246 |
_cons | ‐.0349755 | .1184264 | ‐0.30 | 0.782 | ‐.36378 | .293829 |
a Relative Risk | ||||||
Interpretation of Death at day 30. None of the covariates had a statistically significant influence on the size of the effect of the interventions on death at day 30 |
Appendix 5. Recovery of kidney function
Appendix 6.1 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
_Icatpat_2 | ‐.3157028 | .1875572 | ‐1.68 | 0.234 | ‐1.1222696 | .4912907 |
typepatient | ‐.0293159 | .0838276 | ‐0.35 | 0.760 | ‐.3899969 | .3313651 |
dif | .0001913 | .0002193 | 0.87 | 0.475 | ‐.0007524 | .001135 |
_cons | .2599936 | .1970522 | 1.32 | 0.318 | ‐.5878537 | 1.107841 |
a Relative Risk | ||||||
Interpretation of recovery of kidney function in all patients None of the covariates had a statistically significant influence on the size of the interventions effect on the recovery of kidney function in all patients |
Appendix 6.2 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
hypot | .0354318 | .2072378 | 0.17 | 0.871 | ‐.4972899 | .5681535 |
typepatient | .1498447 | .222515 | .067 | 0.531 | ‐.4221483 | .7218376 |
dif | ‐.0005543 | .0011819 | ‐0.47 | 0.659 | ‐.0035926 | .0024839 |
_cons | .0209444 | .1732834 | 0.12 | 0.909 | ‐.4244948 | .466638 |
a Relative Risk | ||||||
Interpretation of recovery of Kidney function in all patients None of the covariates had a statistically significant influence on the size of the interventions effect on the recovery of kidney function in all patients |
Appendix 6.3 | ||||||
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
hypot | .0176247 | .2349727 | 0.08 | 0.944 | ‐.6347642 | .6700136 |
typepatient | ‐.0646383 | .40121183 | ‐0.16 | 0.880 | ‐1.178599 | 1.049322 |
dif | ‐.0003625 | .0014235 | ‐0.25 | 0.812 | ‐.0043147 | .0035898 |
modal | .2536712 | .3719964 | 0.68 | 0.533 | ‐.7791565 | 1.286499 |
_cons | ‐.0024396 | .2045583 | ‐0.01 | 0.991 | ‐.5703845 | .5655053 |
a Relative Risk | ||||||
Interpretation of recovery of kidney function in all patients None of the covariates had a statistically significant influence on the size of the interventions effect on the recovery of kidney function in all patients |
Appendix 6. Length of hospital stay
logrr a | Coef. | Std. Err. | t | P>|t| | [95% CI] | |
modal | .6735466 | .3149659 | 2.14 | 0.085 | ‐.1360991 | 1.483192 |
_cons | 5.55e‐17 | .2171838 | 0.00 | 1.000 | ‐.5582888 | .5582888 |
a Relative Risk | ||||||
Interpretation of length of hospital stay None of the covariates had a statistically significant influence on the size of the effect of the interventions on the length of hospital stay |
Appendix 7. Database of death at day 30
Trialname | cases1 | tot1 | case0 | tot0 | hypot | typepatient | modal | catpat | dif |
ELAIN 2016 | 34 | 112 | 48 | 119 | 0.96 | 1 | 1 | 1 | 500 |
IDEAL‐ICU 2014 | 111 | 246 | 102 | 242 | 11.35 | 0 | 0 | 2 | 120 |
FST 2018 | 36 | 58 | 35 | 60 | 14.5 | 0 | 1 | 2 | 351 |
STARRT‐AKI Pilot 2013 | 13 | 48 | 16 | 52 | ‐1 | 0 | 0 | 2 | 61 |
STARRT‐AKI 2019 | 538 | 1465 | 523 | 1462 | 5.67 | 0 | 0 | 2 | 601 |
AKIKI 2015 | 129 | 311 | 134 | 308 | 0 | 0 | 0 | ‐ | 0 |
EARLYRRT 2018 | 10 | 20 | 9 | 20 | 0 | 0 | 0 | ‐ | 2220 |
Sugahara 2004 | 2 | 14 | 12 | 14 | 0 | 1 | 1 | ‐ | 0 |
Bouman 2002 | 20 | 70 | 9 | 36 | 0 | 1 | 1 | ‐ | 0 |
Appendix 8. Database of recovery of kidney function
Trialname | cases1 | tot1 | case0 | tot0 | hypot | typepatient | modal | dif | catpat |
Bouman 2002 | 38 | 70 | 22 | 36 | 0.96 | 1 | 1 | 500 | 1 |
ELAIN 2016 | 60 | 112 | 46 | 119 | 11.35 | 1 | 1 | 120 | 2 |
IDEAL‐ICU 2014 | 106 | 246 | 111 | 242 | 14.5 | 0 | 0 | 351 | 2 |
FST 2018 | 21 | 58 | 19 | 60 | ‐1 | 0 | 1 | 61 | 2 |
STARRT‐AKI Pilot 2013 | 30 | 48 | 31 | 52 | 5.67 | 0 | 0 | 601 | 2 |
STARRT‐AKI 2019 | 729 | 1465 | 766 | 1462 | 0 | 0 | 0 | 0 | 2 |
AKIKI 2015 | 154 | 311 | 147 | 308 | 0 | 0 | 0 | 2220 | ‐ |
EARLYRRT 2018 | 9 | 20 | 5 | 20 | 0 | 0 | 1 | 0 | 2 |
Sugahara 2004 | 10 | 14 | 2 | 14 | 0 | 1 | 1 | 0 | ‐ |
Appendix 9. Database of hospital length of stay
Trialname | mean1 | SD1 | tot1 | mean2 | SD2 | tot2 | typepatient | modal |
Bouman 2002 | 27 | 21 | 70 | 35.5 | 38.5 | 36 | 1 | 1 |
ELAIN 2016 | 44.2 | 41.9 | 112 | 64.6 | 70.6 | 119 | 1 | 1 |
IDEAL‐ICU 2014 | 31 | 46.9 | 311 | 28.4 | 35.5 | 308 | 0 | 0 |
FST 2018 | 29.7 | 35.5 | 58 | 32.6 | 34.9 | 60 | 0 | 1 |
STARRT‐AKI Pilot 2013 | 32.1 | 41.4 | 48 | 28.9 | 28.1 | 52 | 0 | 0 |
STARRT‐AKI 2019 | 31.33 | 25.24 | 1465 | 33.329 | 27.47 | 1462 | 0 | 0 |
AKIKI 2015 | 31 | 46.9 | 311 | 28.4 | 35.5 | 308 | 0 | 0 |
Appendix 10. Database for meta‐regression
We conducted the meta‐regressions of each of the outcomes according to the following databases. The codes used to identify each column of the databases were:
See Appendix 7; Appendix 8; Appendix 9 |
Data and analyses
Comparison 1. Early versus standard initiation.
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
1.1 Death | 12 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
1.1.1 Death at day 30 | 12 | 4826 | Risk Ratio (M‐H, Random, 95% CI) | 0.97 [0.87, 1.09] |
1.1.2 Death after 30 days | 7 | 4534 | Risk Ratio (M‐H, Random, 95% CI) | 0.99 [0.92, 1.07] |
1.2 Death or non‐recovery kidney function at day 90 | 6 | 4011 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.74, 1.11] |
1.3 Recovery of kidney function | 10 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
1.3.1 Patients free from KRT according to ITT analysis (all patients) | 10 | 4717 | Risk Ratio (M‐H, Random, 95% CI) | 1.07 [0.94, 1.22] |
1.3.2 Survivors free from KRT according to ITT after 30 days | 10 | 2510 | Risk Ratio (M‐H, Random, 95% CI) | 1.02 [0.97, 1.07] |
1.4 Adverse events | 7 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
1.4.1 Any adverse event | 5 | 3983 | Risk Ratio (M‐H, Random, 95% CI) | 1.23 [0.90, 1.68] |
1.4.2 Hypophosphataemia | 1 | 2927 | Risk Ratio (M‐H, Random, 95% CI) | 1.80 [1.33, 2.44] |
1.4.3 Hypotension | 5 | 3864 | Risk Ratio (M‐H, Random, 95% CI) | 1.54 [1.29, 1.85] |
1.4.4 Cardiac‐rhythm disorder | 6 | 4483 | Risk Ratio (M‐H, Random, 95% CI) | 1.35 [1.04, 1.75] |
1.4.5 Infection | 5 | 4252 | Risk Ratio (M‐H, Random, 95% CI) | 1.33 [1.00, 1.77] |
1.4.6 Bleeding | 6 | 4358 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.71, 1.18] |
1.4.7 Thrombocytopenia | 1 | 106 | Risk Ratio (M‐H, Random, 95% CI) | 1.03 [0.20, 5.35] |
1.5 Length of stay | 7 | Mean Difference (IV, Random, 95% CI) | Subtotals only | |
1.5.1 Length of stay in ICU | 5 | 4240 | Mean Difference (IV, Random, 95% CI) | ‐1.01 [‐1.60, ‐0.42] |
1.5.2 Length of stay in hospital | 7 | 4589 | Mean Difference (IV, Random, 95% CI) | ‐2.45 [‐4.75, ‐0.14] |
Comparison 2. Subgroup analysis: death.
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
2.1 Death by AKI aetiology | 12 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
2.1.1 Patients with AKI related to non‐surgical causes | 9 | 4461 | Risk Ratio (M‐H, Random, 95% CI) | 1.01 [0.94, 1.09] |
2.1.2 Patients with AKI related to surgical causes | 3 | 365 | Risk Ratio (M‐H, Random, 95% CI) | 0.65 [0.31, 1.36] |
2.2 Death by KRT initiation | 10 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
2.2.1 Initiation according KDIGO stage 2 | 3 | 3258 | Risk Ratio (M‐H, Random, 95% CI) | 0.95 [0.78, 1.15] |
2.2.2 Initiation according to KDIGO3, AKI RIFLE‐F stage and AKIN3 | 4 | 1216 | Risk Ratio (M‐H, Random, 95% CI) | 0.95 [0.79, 1.15] |
2.2.3 Initiation according other criteria | 3 | 218 | Risk Ratio (M‐H, Random, 95% CI) | 1.09 [0.86, 1.38] |
2.3 Death by KRT modality | 12 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
2.3.1 Continuous KRT | 8 | 692 | Risk Ratio (M‐H, Random, 95% CI) | 0.86 [0.65, 1.14] |
2.3.2 Continuous and intermittent KRT | 4 | 4134 | Risk Ratio (M‐H, Random, 95% CI) | 1.02 [0.94, 1.10] |
2.4 Death by illness severity score | 9 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
2.4.1 Sequential Organ Failure Assessment (SOFA) score > 12 | 3 | 819 | Risk Ratio (M‐H, Random, 95% CI) | 0.95 [0.75, 1.20] |
2.4.2 Sequential Organ Failure Assessment (SOFA) score ≤ 12 | 6 | 3870 | Risk Ratio (M‐H, Random, 95% CI) | 1.02 [0.94, 1.10] |
Comparison 3. Subgroup analysis: death or non‐recovery of kidney function at day 90.
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
3.1 AKI aetiology | 6 | 4011 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.74, 1.11] |
3.1.1 Non‐surgical causes | 3 | 3646 | Risk Ratio (M‐H, Random, 95% CI) | 1.04 [0.97, 1.11] |
3.1.2 Surgical causes | 3 | 365 | Risk Ratio (M‐H, Random, 95% CI) | 0.66 [0.33, 1.33] |
3.2 AKI criteria | 6 | 4011 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.74, 1.11] |
3.2.1 KDIGO stage 2 | 1 | 619 | Risk Ratio (M‐H, Random, 95% CI) | 0.95 [0.79, 1.15] |
3.2.2 KDIGO stage 3/RIFLE‐F AKIN | 3 | 3258 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.70, 1.19] |
3.2.3 Other criteria | 2 | 134 | Risk Ratio (M‐H, Random, 95% CI) | 0.47 [0.07, 3.21] |
3.3 KRT modality | 6 | 4011 | Risk Ratio (M‐H, Random, 95% CI) | 0.91 [0.74, 1.11] |
3.3.1 Continuous KRT | 3 | 365 | Risk Ratio (M‐H, Random, 95% CI) | 0.66 [0.33, 1.33] |
3.3.2 Continuous and intermittent KRT | 3 | 3646 | Risk Ratio (M‐H, Random, 95% CI) | 1.04 [0.97, 1.11] |
3.4 Illness severity score | 5 | 3983 | Risk Ratio (M‐H, Random, 95% CI) | 0.96 [0.83, 1.10] |
3.4.1 Sequential Organ Failure Assessment (SOFA) score > 12 | 2 | 331 | Risk Ratio (M‐H, Random, 95% CI) | 0.77 [0.62, 0.97] |
3.4.2 Sequential Organ Failure Assessment (SOFA) score ≤ 12 | 3 | 3652 | Risk Ratio (M‐H, Random, 95% CI) | 1.04 [0.97, 1.12] |
Comparison 4. Subgroup analysis: recovery of kidney function.
Outcome or subgroup title | No. of studies | No. of participants | Statistical method | Effect size |
---|---|---|---|---|
4.1 Recovery of kidney function by AKI aetiology | 10 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
4.1.1 AKI related to non‐surgical causes | 7 | 4352 | Risk Ratio (M‐H, Random, 95% CI) | 1.00 [0.91, 1.11] |
4.1.2 AKI related to surgical causes | 3 | 365 | Risk Ratio (M‐H, Random, 95% CI) | 1.36 [0.78, 2.38] |
4.2 Recovery of kidney function by definition of early KRT Initiation | 8 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
4.2.1 Initiation according KDIGO stage 2 | 3 | 3258 | Risk Ratio (M‐H, Random, 95% CI) | 1.08 [0.86, 1.36] |
4.2.2 Initiation according KDIGO stage 3/RIFLE‐F AKIN | 2 | 1107 | Risk Ratio (M‐H, Random, 95% CI) | 1.00 [0.88, 1.13] |
4.2.3 Initiation according to other criteria | 3 | 218 | Risk Ratio (M‐H, Random, 95% CI) | 1.55 [0.95, 2.53] |
4.3 Recovery of kidney function by KRT modality | 10 | Risk Ratio (M‐H, Random, 95% CI) | Subtotals only | |
4.3.1 Continuous KRT | 6 | 583 | Risk Ratio (M‐H, Random, 95% CI) | 1.42 [0.99, 2.03] |
4.3.2 Continuous and intermittent KRT | 4 | 4134 | Risk Ratio (M‐H, Random, 95% CI) | 0.96 [0.91, 1.02] |
Characteristics of studies
Characteristics of included studies [ordered by study ID]
AKIKI 2015.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modalities
Intervention group
Control group
Co‐interventions
|
|
Outcomes | Primary outcomes
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients randomly assigned to one of the two treatment groups by means of a centralized, computer‐generated method |
Allocation concealment (selection bias) | Low risk | Central allocation process |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Funding sources were reported (not for profit funding) |
Bouman 2002.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group 1
Intervention group 2
Control group
Co‐interventions
|
|
Outcomes | Primary outcomes
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients randomly assigned to one of the two treatment groups using computer‐generated method |
Allocation concealment (selection bias) | Low risk | Treatment assignments were kept in numbered, sealed opaque envelopes that were opened at the time of enrolment |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Unclear risk | Insufficient information to permit judgement |
EARLYRRT 2018.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
|
|
Outcomes | Primary outcomes
Secondary outcomes on day 28 after randomisation
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Randomisation with sequentially numbered containers into two groups, using computer‐generated method |
Allocation concealment (selection bias) | Low risk | Central allocation process |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Quote: "Alere provided pNGAL kits for use in this study. The company had no influence on the study design or analysis or on the content of this article." |
ELAIN 2016.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
Co‐interventions
|
|
Outcomes | Primary outcomes
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients were randomly assigned using computer‐generated method |
Allocation concealment (selection bias) | Low risk | Each patient received a study identification number and treatment allocation at enrolment |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement unlikely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Quote: "The study sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication" |
FST 2018.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Early KRT group
Standard KRT group
Co‐interventions
|
|
Outcomes | Primary outcomes
Secondary outcomes
Exploratory endpoints
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients were randomly assigned using computer‐generated method |
Allocation concealment (selection bias) | Low risk | Central allocation process |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement unlikely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Funding sources were reported (not for profit funding) |
IDEAL‐ICU 2014.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
|
|
Outcomes | Primary outcome
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients were randomly assigned to the early or delayed‐strategy group in a 1:1 ratio by means of an online response system (Tenalea software) |
Allocation concealment (selection bias) | Low risk | Central allocation process |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Funding sources were reported (not for profit funding) |
STARRT‐AKI 2019.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
Co‐interventions
|
|
Outcomes | Primary outcome
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients were randomly 1:1 to accelerated versus standard initiation of KRT with variable block sizes (2 and 4) and stratified by centre using a centralised concealed web‐based randomisation system |
Allocation concealment (selection bias) | Low risk | Central allocation process |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement unlikely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Quote: "The funding organizations and partners were not involved in the design, implementation, management, analysis, and interpretation of the results". |
STARRT‐AKI Pilot 2013.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
Co‐interventions
|
|
Outcomes |
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Low risk | Patients randomly assigned to one of two treatments using computer‐generated method |
Allocation concealment (selection bias) | Low risk | Treatment assignments were kept in numbered, sealed opaque envelopes that were opened in numeric sequence at the time of enrolment |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery and adverse events |
Other bias | Low risk | Quote: "Alere provided the triage MeterPro that was used to measure whole‐blood NGAL The founders have no influence on the design, analysis and interpretation of the results." |
Sugahara 2004.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Co‐interventions
|
|
Outcomes | Primary outcome
Secondary outcome
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Insufficient information to permit judgement Quote: "All patients were divided randomly into two groups" |
Allocation concealment (selection bias) | Unclear risk | Insufficient information to permit judgement |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Outcome measurement was unlikely to be influenced by lack of blinding (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | High risk | > 20% of included patients not reported |
Selective reporting (reporting bias) | Low risk | The study reported survival and kidney function recovery |
Other bias | Unclear risk | Insufficient information to permit judgement |
Tang 2016.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group 1
Intervention group 2
Control group
Co‐interventions
|
|
Outcomes |
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Insufficient information to permit judgement |
Allocation concealment (selection bias) | Unclear risk | Insufficient information to permit judgement |
Blinding of participants and personnel (performance bias) All outcomes | Low risk | Outcome measurement was unlikely to be influenced by lack of blinding (for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | High risk | The study reported only one outcome (survival) |
Other bias | Unclear risk | Insufficient information to permit judgement |
Xia 2019.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
|
|
Outcomes | Primary outcome
Secondary outcomes
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Insufficient information to permit judgement Quote: "All patients were divided randomly into two groups" |
Allocation concealment (selection bias) | Unclear risk | Insufficient information to permit judgement |
Blinding of participants and personnel (performance bias) All outcomes | Unclear risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, kidney function recovery, dialysis dependence, ICU and hospital stay. |
Other bias | Low risk | Not for profit funding |
Yin 2018.
Study characteristics | ||
Methods |
|
|
Participants |
|
|
Interventions | KRT modality
Intervention group
Control group
|
|
Outcomes | Primary outcome
Secondary outcome
|
|
Notes |
|
|
Risk of bias | ||
Bias | Authors' judgement | Support for judgement |
Random sequence generation (selection bias) | Unclear risk | Insufficient information to permit judgement Quote: "All patients were divided randomly into two groups" |
Allocation concealment (selection bias) | Unclear risk | Insufficient information to permit judgement |
Blinding of participants and personnel (performance bias) All outcomes | Low risk | Insufficient information to permit judgement (for kidney recovery was unclear risk but for death was low risk) |
Blinding of outcome assessment (detection bias) All outcomes | Low risk | The outcome measurement is not likely to be influenced by lack of blinding |
Incomplete outcome data (attrition bias) All outcomes | Low risk | Complete outcome data were reported |
Selective reporting (reporting bias) | Low risk | The study reported death, ICU and hospital stay |
Other bias | Unclear risk | Insufficient information to permit judgement |
AIDS: acquired immune deficiency syndrome; AKI: acute kidney injury; AKIN: Acute Kidney Injury Network; Ang2: angiopoietin‐2; BUN: blood urea nitrogen; CKD: chronic kidney disease; CrCl: creatinine clearance; CKRT: continuous kidney replacement therapy; CVVH: continuous venovenous haemofiltration; CVVHDF: continuous venovenous haemodiafiltration; FST: furosemide stress test; HD: haemodialysis; HF ‐ haemofiltration; (e)GFR: (estimated) glomerular filtration rate; GN: glomerulonephritis; HF: haemofiltration; ICU: intensive care unit; IHD: intermittent haemodialysis; KDIGO: Kidney Disease: Improving Global Outcomes; KRT: kidney replacement therapy; M/F: male/female; NGAL: plasma neutrophil gelatinase‐associated lipocalin; NT‐proBNP: N‐terminal‐pro hormone brain natriuretic peptide; PIKRT: prolonged intermittent kidney replacement therapy; QoL: quality of life; RCT: randomised controlled trial; RIFLE: Risk Injury Failure Loss ESKD; SCr: serum creatinine; SD: standard deviation; SOFA: Sequential Organ Failure Assessment; UF: ultrafiltration
Characteristics of excluded studies [ordered by study ID]
Study | Reason for exclusion |
---|---|
Abe 2010c | Wrong intervention: timing of KRT initiation was not assessed |
AKIKI 2 2019 | Wrong intervention: delayed arm and more delayed arm |
Albino 2014 | Wrong intervention: timing of KRT initiation was not assessed |
Ambrós Checa 1995 | Wrong intervention: timing of KRT initiation was not assessed |
Andrade 1997 | Wrong intervention: timing of KRT initiation was not assessed (evaluated CAVHF) |
ATN 2005 | Wrong intervention: timing of KRT initiation was not assessed (compared the survival and kidney recovery in critically ill patients treated with intensive versus less‐intensive KRT) |
Augustine 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Badawy 2013 | Wrong intervention: timing of KRT initiation was not assessed (compared the efficacy of CVVHDF and EDD in patients with AKI after cardiac surgery) |
Baldwin 2007 | Wrong intervention: timing of KRT initiation was not assessed (compared EDD with HF or CVVHF with regard to fluid removal and haemodynamics) |
Berg 2007 | Wrong intervention: timing of KRT initiation was not assessed |
Berger 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Boussekey 2008 | Wrong intervention: timing of KRT initiation was not assessed |
Boyle 1995 | Wrong intervention: timing of KRT initiation was not assessed |
Cole 2001 | Wrong intervention: timing of RRT initiation was not assessed |
Cole 2002 | Outcomes of interest not investigated: evaluated the effect of early and CVVHF on the plasma concentrations of several humoral mediators of inflammation in septic patients |
CRITERIA 2012 | Wrong intervention: timing of KRT initiation was not assessed |
Daud 2006 | Wrong intervention: timing of RRT initiation was not assessed |
Davenport 1991 | Wrong intervention: timing of KRT initiation was not assessed |
Davenport 1993a | Wrong intervention: timing of KRT initiation was not assessed |
Davies 2008 | Wrong intervention: timing of KRT initiation was not assessed |
de Pont 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Durmaz 2003 | Wrong population: the presence of AKI was no obligatory condition for enrolment in the early arm |
Gabriel 2008 | Wrong intervention: timing of KRT initiation was not assessed (compared the role of HVPD to daily HD in patients with AKI; HVPD was not included in this review) |
Garcia‐Fernandez 2000 | Wrong intervention: timing of KRT initiation was not assessed |
Gasparovic 2003 | Wrong intervention: timing of KRT initiation was not assessed |
George 2011 | Wrong intervention: timing of KRT initiation was not assessed |
Ghani 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Gillum 1986 | Wrong intervention: timing of KRT initiation was not assessed |
Haase 2007b | Wrong intervention: timing of KRT initiation was not assessed; high‐adsorption CVVHD was not included in this review |
Han 2015 | Wrong population: the presence of AKI was no obligatory condition for enrolment in the early arm |
HAN‐D‐OUT 2009 | Wrong intervention: timing of KRT initiation was not assessed |
HEROICS 2015 | Wrong population: the presence of AKI was no obligatory condition for enrolment in the early arm |
Hoste 1995 | Wrong intervention: timing of KRT initiation was not assessed |
Jamale 2013 | Wrong population: included patients with AKI, but ICU stay was no obligatory condition for enrolment in the early arm |
Jeffrey 1994 | Wrong intervention: timing of KRT initiation was not assessed |
John 2001 | Wrong intervention: timing of KRT initiation was not assessed |
Jones 1998 | Wrong intervention: timing of KRT initiation was not assessed |
Kellum 1998 | Wrong intervention: timing of KRT initiation was not assessed |
Kielstein 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Kielstein 2005 | Wrong intervention: timing of KRT initiation was not assessed |
Kierdorf 1995 | Wrong intervention: timing of KRT initiation was not assessed |
Klouche 2007 | Wrong intervention: timing of KRT initiation was not assessed |
Koo 2006 | Wrong population: the presence of AKI was no obligatory condition for enrolment in the early arm |
Kumar 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Lentini 2009 | Wrong intervention: timing of KRT initiation was not assessed (compared pulse high volume HF and coupled plasma filtration adsorption in septic shock patients) |
Manns 1996 | Wrong intervention: timing of KRT initiation was not assessed |
Maxvold 2000 | Wrong intervention: timing of KRT initiation was not assessed |
Mehta 2001 | Wrong intervention: timing of KRT initiation was not assessed |
Meloni 1996 | Wrong intervention: timing of KRT initiation was not assessed |
Misset 1996 | Outcomes of interest not assessed: evaluated the haemodynamic response to IHF and continuous HF in ICU patients with AKI |
Morgera 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Morgera 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Noble 2006 | Wrong intervention: timing of KRT initiation was not assessed |
OMAKI 2012 | Wrong intervention: timing of KRT initiation was not assessed |
Oudemans‐van‐Straaten 2009a | Wrong intervention: timing of KRT initiation was not assessed |
Paganini 1996 | Wrong intervention: timing of KRT initiation was not assessed |
Park 2016 | Wrong intervention: timing of KRT initiation was not assessed |
Payen 2009 | Wrong population: the presence of AKI was no obligatory condition for enrolment in the early arm |
Pettila 2001 | Wrong intervention: timing of KRT initiation was not assessed |
Ponce 2011 | Wrong intervention: timing of KRT initiation was not assessed |
Ponce 2013 | Wrong intervention: timing of KRT initiation was not assessed |
Pursnani 1997 | Wrong population: included patients with AKI, but ICU stay was no obligatory condition for enrolment in the early arm |
Ratanarat 2012 | Wrong intervention: timing of KRT initiation was not assessed |
RENAL 2006 | Wrong study design: 2 records of this study assessed timing of CKRT, but were not RCTs (retrospective nested cohort) |
RESCUE 2012 | Wrong intervention: timing of KRT initiation was not assessed |
Ricci 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Ronco 1999a | Wrong intervention: timing of KRT initiation was not assessed |
Ronco 2000a | Wrong intervention: timing of KRT initiation was not assessed |
Ronco 2001 | Wrong intervention: timing of KRT initiation was not assessed |
Saudan 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Schiffl 1997 | Wrong intervention: timing of KRT initiation was not assessed |
Schiffl 2002 | Wrong intervention: timing of KRT initiation was not assessed |
SHARF 2009 | Wrong intervention: timing of KRT initiation was not assessed |
Stefanidis 1995 | Wrong intervention: timing of KRT initiation was not assessed |
Storck 1991 | Wrong intervention: timing of KRT initiation was not assessed |
Tan 2001 | Wrong intervention: timing of KRT initiation was not assessed |
Tolwani 2008 | Wrong intervention: timing of KRT initiation was not assessed |
Uehlinger 2005 | Wrong intervention: timing of KRT initiation was not assessed |
van der Voort 2005 | Wrong intervention: timing of KRT initiation was not assessed |
Vinsonneau 2006 | Wrong intervention: timing of KRT initiation was not assessed |
Wynckel 1998 | Wrong intervention: timing of KRT initiation was not assessed |
Wynckel 2004 | Wrong intervention: timing of KRT initiation was not assessed |
Zhang 2004a | Wrong intervention: timing of KRT initiation was not assessed |
Zhao 2009a | Wrong intervention: timing of KRT initiation was not assessed |
Zimmerman 1999 | Wrong intervention: timing of KRT initiation was not assessed |
AKI: acute kidney injury; CAVHF: continuous arteriovenous haemofiltration; CVVHDF: continuous venovenous haemodiafiltration; EDD: extended daily dialysis; HD: haemodialysis; HF: haemofiltration; HVPD: high volume peritoneal dialysis; ICU: intensive care unit; IHF: intermittent haemofiltration; KRT: kidney replacement therapy; RCT: randomised controlled trial
Characteristics of ongoing studies [ordered by study ID]
CRTSAKI 2021.
Study name | CRRT timing in sepsis‐associated AKI in ICU (CRTSAKI) |
Methods |
|
Participants |
|
Interventions | KRT modality
Intervention group
Control group
|
Outcomes | Primary outcome
Secondary outcomes
|
Starting date | 5 June 2017 |
Contact information | xiongxuming9@126.com |
Notes | Last update posted: December 2021 Recruitment status: recruiting |
Maiwall 2018.
Study name | Early versus late sustained low efficiency dialysis in critically ill cirrhotics with septic shock and acute kidney injury: a pilot randomised controlled trial |
Methods |
|
Participants |
|
Interventions | KRT modality
Intervention group
Control group
|
Outcomes | Primary outcome
Secondary outcomes
|
Starting date | 19 October 2016 |
Contact information | rakhi_2011@yahoo.co.in |
Notes | Last update posted: 7 March 2019 Recruitment status was: recruiting |
NCT00837057.
Study name | Early continuous renal replacement therapies (CKRT) in patients with severe sepsis or septic shock with acute kidney injury |
Methods |
|
Participants |
|
Interventions | Dialysis modality
Intervention group
Control group
|
Outcomes | Primary outcome
Secondary outcomes
|
Starting date | 5 February 2009 |
Contact information | sbhong@amc.seoul.kr |
Notes | Last update posted: 5 February 2009 Recruitment status was: not yet recruiting |
NCT02937935.
Study name | On demand versus protocol‐guided kidney replacement therapy for management of stage 3 acute kidney Injury in patients with cirrhosis |
Methods |
|
Participants |
|
Interventions | Intervention group
Control group
|
Outcomes | Primary outcome
Secondary outcomes
|
Starting date | 19 October 2016 |
Contact information | rakhi_2011@yahoo.co.in |
Notes | Last update posted: 29 November 2017 Recruitment status was: not yet recruiting |
NCT03343340.
Study name | Early versus late continuous kidney replacement therapy in acute on chronic liver failure patients with septic shock and acute kidney injury a randomized controlled trial |
Methods |
|
Participants |
|
Interventions | Intervention group
Control group
|
Outcomes | Primary outcome
Secondary outcomes
|
Starting date | 17 November 2017 |
Contact information | rakhi_2011@yahoo.co.in |
Notes | Last update posted: 17 November 2017 Recruitment status was: recruiting |
AIDS: acquired immune deficiency syndrome; AKI: acute kidney injury; AKIN: Acute Kidney Injury Network; APACHE: Acute Physiology and Chronic Health Evaluation; BUN: blood urea nitrogen; CKD: chronic kidney disease; CKRT/CRRT: continuous kidney/renal replacement therapy; COPD: chronic obstructive pulmonary disease; CVVHF: continuous venovenous haemofiltration; ESKD: end‐stage kidney disease; GN: glomerulonephritis; HD: haemodialysis; KDIGO: Kidney Disease: Improving Global Outcomes; KRT ‐ kidney replacement therapy; MAP: mean arterial pressure; MELD: Model for End Stage Liver Disease; RCT ‐ randomised controlled trial; SBP: systolic blood pressure; SCr: serum creatinine; SLED: Sustained Low Efficiency Dialysis; SOFA: Sequential Organ Failure Assessment; URR: urea reduction ratio
Differences between protocol and review
We modified the title of our review "Timing of Kidney replacement therapy initiation for acute kidney injury"
Inclusion criteria: we included all patients with AKI in ICU being treated with kidney replacement therapy regardless of age and gender.
Measures of treatment effect: These results were interpreted with focus on effect size of the central estimation (magnitude or importance), including clinical relevance (CKT 2017; EPOC 2013); and decrease the reliance to report on statistical significance (P value) that only provides an arbitrary binary approach (Ciapponi 2021).
The confidence intervals are considered for the GRADE certainty evidence related to the domain imprecision (CKT 2017; EPOC 2013; Schunemann 2021a).
Contributions of authors
Draft the protocol: AF, DB, AC
Study selection: AF, DB
Extract data from studies: AF, DB
Enter data into RevMan: AF
Carry out the analysis: AF, AC
Interpret the analysis: AF, DB, AC
Draft the final review: AF, DB, AC
Disagreement resolution: AC
Update the review: AF
Sources of support
Internal sources
No internal sources of support, Other
External sources
-
Instituto de Efectividad Clínica y Sanitaria (Institute for Clinical Effectiveness and Health Policy) (IECS‐CONICET), Argentina
The Institute for Clinical Effectiveness and Health Policy (IECS‐CONICET) is an independent, non‐for‐profit organization devoted to research, education and technical support (www.iecs.org.ar). Over the last few years, IECS has been a leading institution in Latin America (LA) in regards to developing HTA reports and economic evaluations (EE) to study the impact and financial implications of the adoption of technologies on health care systems.
Declarations of interest
Alicia I Fayad: no relevant interests were disclosed
Daniel G Buamscha: no relevant interests were disclosed
Agustín Ciapponi: no relevant interests were disclosed
New search for studies and content updated (conclusions changed)
References
References to studies included in this review
AKIKI 2015 {published data only}
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