Skip to main content
Perioperative Medicine logoLink to Perioperative Medicine
. 2012 Jul 4;1:6. doi: 10.1186/2047-0525-1-6

Perioperative acute kidney injury

Stacey Calvert 1, Andrew Shaw 2,
PMCID: PMC3886265  PMID: 24764522

Abstract

Acute kidney injury (AKI) is a serious complication in the perioperative period, and is consistently associated with increased rates of mortality and morbidity. Two major consensus definitions have been developed in the last decade that allow for easier comparison of trial evidence. Risk factors have been identified in both cardiac and general surgery and there is an evolving role for novel biomarkers. Despite this, there has been no real change in outcomes and the mainstay of treatment remains preventive with no clear evidence supporting any therapeutic intervention as yet. This review focuses on definition, risk factors, the emerging role of biomarkers and subsequent management of AKI in the perioperative period, taking into account new and emerging strategies.

Keywords: Acute kidney injury, Biomarkers, Perioperative, Pharmacological interventions, Risk stratification

Review

Introduction

Acute kidney injury (AKI) occurs in 1% to 5% of all hospital admissions, and in the perioperative period has serious implications, being consistently associated with (unacceptably) high mortality, morbidity and a more complicated hospital course with associated cost implications. This is particularly the case when renal replacement therapy (RRT) is required [1-22]. It is widely recognized that AKI requiring dialysis is an independent risk factor for death [1-3]; more recently, however, even minimal increases in serum creatinine have been associated with an increase in both short and long-term mortality, regardless of whether partial or full recovery of renal function has occurred at the time of discharge [4-11]. This risk of death is independent from other postoperative complications and co-morbidities [7-9]. AKI is related to the subsequent development and progression of chronic kidney disease (CKD) and the need for future dialysis, most notably in those with a degree of pre-existing renal impairment [11-15], but also in those who have apparent recovery following an episode of AKI [7]. Despite an increase in our knowledge of AKI and advances in other relevant areas over the last two decades (including intensive care, delivery of dialysis and surgical techniques), there have been no significant changes in these outcomes [12,15-17]. As such, identification of risk factors, close monitoring of renal function and early adoption of both preventive measures and treatments remain important considerations for those taking care of perioperative patients who are likely to develop AKI.

Incidence

Surgery remains a leading cause of AKI in hospitalized patients (the incidence ranges from 18% to 47% depending on the definition used) [17,18]. This has been best researched in the cardiac surgery setting where it has been shown that up to 15% of patients exposed to cardiopulmonary bypass (CPB) will develop AKI, with 2% requiring RRT [23]. Depending on the criteria used to define AKI and the postoperative period studied, mortality ranges from 1% to 30% [5,24] although this is consistently higher, approaching 80%, if RRT is required [2,17,24]. AKI is not limited to cardiac surgery although its incidence outside of this setting is often underappreciated. Kheterpal et al. demonstrated that in patients without pre-existing renal disease, approximately 1% of major non-cardiac surgery was complicated by AKI, with an eight-fold increase in 30-day mortality [20,23]. This incidence is comparable to other notable postoperative complications including major adverse cardiac events (MACE) and venous thromboembolism [23].

In the intensive care setting, the Beginning and Ending Supportive Therapy for the Kidney (BEST Kidney) investigators confirmed major surgery as the second leading cause of AKI (in 34%) in this cohort of patients, with overall hospital mortality of 60.3% [1]. Analysis of data from the United Kingdom Intensive Care National Audit and Research Centre Case Mix program supports this, showing surgical admissions accounted for 16.4% of admissions with severe AKI in the first 24 hours (with elective and emergency cases accounting for 5.6% and 10.8%, respectively). In that study, defining severe AKI as creatinine >300 μmol/l and/or urea >40 mmol/l has restricted the patient cohort and potentially, therefore, may limit its generalizability [25]. Elsewhere, it has been reported that one third of patients with AKI require a critical care admission at some point in their care [14].

Definition

Although AKI has been the focus of much research over the past decades, lack of a consensus definition has been a major factor hampering clinical research and comparison of trial data [1,12,13,22,26,27]. There are now two major classifications of AKI in use. The Acute Dialysis Quality Initiative (ADQI) Group introduced the RIFLE (Risk, Injury, Failure, Loss and End-stage) classification system in 2004, which defines three grades of severity and two outcomes, in an effort to standardize the definition [7,12,28,29]. This has subsequently been validated in a number of studies [7,29-35]. The Acute Kidney Injury Network (AKIN) group proposed refinements to this criteria, outlining AKI as abrupt (occurring within 48 hours) and using a smaller change in serum creatinine from baseline in patients who are optimally hydrated to define AKI [12,28,29], following recognition of emerging evidence demonstrating the clinical importance of small increases in serum creatinine [5-9]. No clear advantages between these criteria have been demonstrated and despite these recommendations, definitions of AKI continue to vary [29]. The Kidney Disease: Improving Global Outcomes (KDIGO) workgroup has recently reviewed these criteria and published a single definition for use in both clinical practice and research. AKI is defined when any of the following three criteria are met; an increase in serum creatinine by 50% in seven days, an increase in serum creatinine > 0.3 mg/dL in 48 hours or oliguria. The severity is staged according the criteria outlined in Table 1[36].

Table 1.

Classification of acute kidney injury by RIFLE, AKIN and KIDGO criteria[12,28,36]

Stage Glomerular filtration rate (GFR) criteria Urine output criteria
RIFLE classification
 
 
Risk
Serum creatinine increased x 1.5 or GFR decrease >25%
<0.5 ml/kg/hr for ≥ 6 hours
Injury
Serum creatinine increased x 2 or GFR decrease >50%
<0.5 ml/kg/hr for ≥ 12 hours
Failure
Serum creatinine increased x 3 or GFR decrease ≥ 75% or an absolute serum creatinine ≥ 354 μmol/L with an acute rise ≥ 4 μmol/L
<0.3 ml/kg/hr for ≥ 24 hours or anuria for ≥12 hours
Loss
Persistent AKI, requiring RRT for > 4 weeks
 
End-stage kidney disease
Requiring dialysis > 3 months
 
AKIN classification
 
 
Stage 1
Serum creatinine increased ≥26.2 μmol/L or x 0.5 to 2 baseline
<0.5 ml/kg/hr for ≥ 6hours
Stage 2
Serum creatinine increased x 2 to 3 baseline
<0.5 ml/kg/hr for ≥ 12 hours
Stage 3
Serum creatinine increased > x 3 baseline or serum creatinine ≥ 354 μmol/L with an acute rise ≥ 44 μmol/L or initiation of RRT
<0.3 ml/kg/hr for ≥ 24 hours or anuria for ≥12 hours
KDIGO classification
 
 
Stage 1
Serum creatinine increased x 1.5 to 1.9 baseline or by ≥ 26.2 μmol/L
<0.5 ml/kg/hr for 6 to 12 hours
Stage 2
Serum creatinine increased x 2 to 2.9 baseline
<0.5 ml/kg/hr for ≥ 12 hours
Stage 3 Serum creatinine increased > x 3 baseline or serum creatinine ≥ 354 μmol/L with an acute rise ≥ 44 μmol/L or initiation of RRT <0.3 ml/kg/hr for ≥ 24 hours or anuria for ≥12 hours

AKIN, Acute Kidney Injury Network; KDIGO, Kidney Disease: Improving Global Outcomes.

Recognition is often still delayed and more recently, the role of electronic reporting systems has been successfully tested in the UK with the aim of alerting clinicians early to the presence of AKI, appreciating the impact of small increases in creatinine from baseline that previously may have been considered as fluctuations remaining within the normal range. In turn, this should allow for timely intervention and improved overall patient care [37].

RIFLE, AKIN and KDIGO all diagnose AKI according to serum creatinine and urine output as outlined in Table 1. This, however, is not without its limitations, as serum creatinine is neither sensitive nor specific, tending to represent a functional change rather than being a true marker of kidney injury and is well known to be affected by multiple factors including age, ethnicity, gender, muscle mass, total body volume, medications and protein intake [16,38]. Given that a reduction in glomerular filtration rate (GFR) greater than 50% can occur before this is reflected in serum creatinine [16,39,40], the ability to detect AKI prior to a change in serum creatinine would represent a significant advance in the management of AKI. As such, the American Society of Nephrology set identification and characterization of biomarkers for AKI as a key research area in 2005 [41].

Risk factors

There have been a number of studies investigating the risk factors associated with the development of AKI, from which several factors, both patient and procedure related, have been consistently associated in both cardiac and non-cardiac surgery (Table 2) [3,20,23,24,42-45]. Patient related factors are often more strongly associated with postoperative mortality than surgical factors. These include age, hypertension, diabetes mellitus, cardiac failure, peripheral vascular disease, cerebrovascular disease and pre-existing chronic kidney disease [3,23,24,42-44]. Perhaps the most important of these is the latter, with rates of AKI requiring dialysis approaching 30% in patients with pre-existing kidney disease undergoing cardiac surgery [7,17,24,42-44]. That said, there remain risk factors specific to certain types of surgery which are associated with postoperative AKI, including prolonged CPB time, combined valve and coronary artery bypass graft (CABG) surgery, increased aortic cross-clamp time during vascular surgery and increased intra-abdominal pressure in major abdominal surgery [2,17,46]. Unsurprisingly, many of these risk factors are associated with either poor renal perfusion or decreased renal reserve and few are correctable prior to surgery.

Table 2.

Factors associated with the development of AKI

Patient related factors Surgical factors
Age
Duration of surgery
Hypertension
Intra-peritoneal surgery
Diabetes Mellitus
Length of CPB
Chronic Obstructive Pulmonary Disease
Cross clamp time
LVF, EF <40%
Hemolysis (cardiac surgery)
Chronic kidney disease
Hemodilution (cardiac surgery)
Emergency surgery
Use of IABP (cardiac surgery)
Sepsis
 
Peripheral vascular disease
Cerebrovascular disease
Ascites

EF, ejection fraction; IABP, Intra-aortic balloon pump; LVF, left ventricular function.

Integral to improving outcomes, however, is the ability to identify high risk patients, not only allowing for earlier intervention and optimal subsequent management, but also identification of cohorts of patients in which new treatments can be studied. Several groups have, therefore, sought to develop risk stratification indexes in both cardiac and general surgery [23,24,42,45,47]. Kheterphal et al. developed a General Surgery AKI Risk Index after evaluating almost 76,000 general surgical patients, which also included a validation sample. A score is given for each patient, based on nine separate preoperative risk factors, following which patients are categorized into one of five classes. Class I (determined by having zero to two risk factors) has an incidence of AKI of 0.2%; in contrast to Class V (>6 risk factors) which confers an AKI risk of 9.5% [23]. Although useful in highlighting risk factors, further validation over multiple centers is crucial, with similar single center risk scoring systems post-cardiac surgery having been shown to underestimate the true incidence of AKI, despite taking into account demographic variation [47].

Novel biomarkers

An ideal biomarker would be highly sensitive and specific for AKI, responding consistently and rapidly to injury, with normal ranges for age, race and gender established and levels that correlate to severity as well as having biological stability and a reliable, quick and cost effective assay for detection [48,49]. It would also be useful to determine the extent of interpersonal variation attributable to genetic factors and the impact of confounding clinical factors [48]. The area under the receiver-operating characteristic curve (AUCROC) is used to assess the performance of a diagnostic biomarker, with a value greater than 0.75 demonstrating good discriminatory value and greater than 0.90 demonstrating excellent discrimination.

A current challenge is that novel biomarkers are being compared to serum creatinine as the ‘gold standard’ when it is the very weakness of serum creatinine as a sensitive and specific marker that prompted research into this area. Indeed, many authors have made this exact point in their opening statements [50]. More than 20 different biomarkers have been identified in recent years, predominantly in studies of post-cardiac surgery. However, most current focus is on neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule − 1 (KIM-1), IL-18 and cystatin-C. At present these remain experimental and need validation in larger studies prior to transition into clinical practice [38]. It is highly likely that several other biomarkers will also be introduced into clinical practice over the next few years.

NGAL

NGAL has generated significant interest in recent years, particularly in AKI following cardiac surgery, although its use is not restricted to this cohort of patients [39,51-53]. In patients with normal renal function, NGAL is almost undetectable in either urine or plasma, yet animal studies clearly demonstrated that NGAL is markedly upregulated early following ischemic injury [54]. In subsequent clinical studies, urinary NGAL has been shown to be both sensitive and specific in predicting postoperative AKI in pediatric patients undergoing cardiac surgery [43,51,52]. Similarly, plasma NGAL measured at two hours post-CPB correlated strongly with severity and duration of AKI, with an AUCROC of 0.96, sensitivity of 0.84 and specificity of 0.94 [39]. In an adult population, this result has been less consistent [51,52] with Wagener et al. demonstrating an AUCROC of 0.61 and sensitivity of 0.39 in urinary NGAL measured 18 hours post-surgery [52]. Likewise, raised plasma NGAL levels have been clearly demonstrated in AKI following CPB surgery, however again with a low sensitivity thereby limiting its use as a single biomarker in the prediction of AKI [55]. It has been proposed that this poor sensitivity may be in part due to the current limitations of defining AKI using serum creatinine [52], although it should also be noted that patients who develop AKI also tend to have a longer CPB time. Although this has been clearly demonstrated to be a risk factor, it also raises the possibility that NGAL (particularly plasma NGAL) could actually reflect length of CPB/degree of inflammation versus degree of kidney injury [39]. Many of these studies have, however, excluded patients with pre-existing renal dysfunction. A post-hoc subgroup analysis has attempted to address this and although these results must be interpreted with a degree of caution, they do show that the use of urinary NGAL is significantly influenced by pre-existing renal function, with no clear relationship between postoperative urinary NGAL and the development of AKI in patients with a GFR < 60 ml/minute [56]. This suggests that the relationship between NGAL and AKI is complex and is likely to be different in the setting of CKD [57].

KIM-1

KIM-1 is a type 1 transmembrane glycoprotein, undetectable in normal kidney tissue, which has been shown to be markedly upregulated following injury secondary to ischemia and nephrotoxins in a variety of both animal and human studies, with a soluble form readily detectable in the urine [58]. Early human studies demonstrated a clear increase in KIM-1 protein expression at biopsy that correlated with high urinary levels, detectable prior to cast formation, following ischemic injury [58]. Since then, KIM-1 has been shown to be a highly sensitive marker for AKI in patients undergoing cardiac surgery [59] and, alongside another urinary biomarker, N-acetyl-β-(D)-glucosaminidase, high levels have been associated with adverse outcomes including the need for renal replacement therapy and death [60].

IL-18

The cytokine IL-18 has also been shown to be an early biomarker for AKI in a variety of clinical situations, including in patients with CKD [61-65]. Post-CPB surgery, urinary IL-18 was detectable four to six hours post-surgery, peaking at 12 hours with an AUCROC of 0.75 and remaining elevated over the next 24 to 28 hours (AUCROC at 24 hours 0.75) [61]. In addition, there is a correlation between peak levels and increased severity of AKI and mortality [63,64]. Unsurprisingly, given the role of IL-18 as a pro-inflammatory cytokine, levels are higher in cohorts of patients with sepsis than in those without [64].

Cystatin C

Cystatin C is a cysteine protease inhibitor produced by all nucleated cells. Given that it is freely filtered by the glomerulus, undergoes almost complete tubular reabsorption and is not secreted by renal tubules, it is desirable as a marker of GFR [40,66-68]. However, serum cystatin C levels have been shown to be affected by the use of steroids, thyroid dysfunction, age, gender and CRP independent of GFR [40,66,67]. A prospective study looking at 72 patients undergoing cardiac surgery demonstrated no clear association between AKI and plasma cystatin C although an early and persistent increase in urinary cystatin C was associated with AKI, and the level excreted correlated with the severity of AKI. This suggests that in this cohort of patients, urinary cystatin C may be more useful [67].

Importantly, many studies to date have excluded patients with CKD, who have been consistently demonstrated to be at high risk for AKI in the perioperative period [20] and these biomarkers must therefore first be characterized over a range of baseline values, with more information required to identify and explain clinical factors that may confound their performance in the perioperative period [38-40,51-57,67]. It is unlikely that any single biomarker would be sufficient for accurate diagnosis and risk stratification of AKI but rather that the way forward would be to develop a panel of biomarkers which, used in conjunction, would allow for assessment of disease severity and risk alongside earlier diagnosis [40,49,59,61]. This faces its own challenges and as yet there is insufficient information as to which combinations to recommend for use. More work is clearly needed in this area, with the ultimate aim being earlier recognition of AKI, thereby allowing for progress to be made in its subsequent treatment.

Pathophysiology of AKI

Etiologically, AKI is divided into pre-renal, intrinsic or renal, and post-renal causes, in surgery representing 30% to 60%, 20% to 40% and 1% to 10% of cases, respectively [17] (Table 3). Renal hypoperfusion is often the initial insult in perioperative AKI, which importantly can lead to a reduction in medullary blood flow [17,46,69]. The outer medulla with its high metabolic demands (medullary oxygen extraction approaches 90%) is particularly vulnerable to both hypoperfusion and hypoxia, both in patients with known CKD whose underlying reserve is reduced but also in patients with normal preoperative renal function [69-71]. Interestingly, in acute respiratory distress syndrome (ARDS) it is increasingly recognized that the disease process, for example, pulmonary versus extra-pulmonary causes, impacts the course of the disease and whether the same could be said for AKI remains to be seen [72].

Table 3.

Summary of causes of AKI defined etiologically

Pre-renal Intrinsic renal disease Post-renal
Hypovolemia, for example, hemorrhage, diarrhea, vomiting
Ischemia from prolonged hypoperfusion
Obstructive causes, for example, prostatic hypertrophy, renal stones, urethral strictures, pelvic masses
Hypotension, for example, sepsis
Glomerular disease, for example, glomerulonephritis, TTP, DIC
Low cardiac output state, for example, CCF, cardiac tamponade
Nephrotoxins, for example, aminoglycosides, NSAIDs, radiological contrast
Impaired renal autoregulation, for example, renal artery stenosis, ACEi/ARB/NSAIDs Metabolic abnormalities, for example, hypercalcemia
Rhabdomyolysis, for example, crush injuries, burns

ACEi, angiotensin converting enzyme inhibitor; ARB, angiotensin recreptor blocker; CCF, congestive cardiac failure; DIC, disseminated intravascular coagulation; TTP, thrombotic thrombocytopenic purpura.

Animal models have been developed, predominantly based on ischemia-reperfusion injury or drug-induced injury, which have significantly improved our understanding of AKI, especially with regard to the role of inflammation. This is thought to be especially important in AKI associated with CPB surgery [73]. In clinical practice, ischemia-reperfusion injury can occur secondary to either general hypoperfusion or specific actions, for example, cross-clamping of the aorta in vascular surgery. Interventions that are beneficial in animal models, however, have not yet been shown to be effective in clinical practice [74,75].

Histologically, there is still a paucity of information available, in part due to the invasive nature of renal biopsies that are often not undertaken in patients in whom AKI is presumed secondary to pre-renal factors [74]. In biopsies that have been obtained, and from post-mortem findings, there is a clear disparity seen between the clinical scenario and the pathological findings [74]. This, in turn, supports the concept of cytopathic hypoxia leading to cellular shutdown versus cell necrosis or apoptosis [75].

Management of AKI

The goals in management of AKI include preservation of existing renal function as well as prevention of acute complications (hyperkalemia, acidosis, volume overload) and the need for long-term renal replacement therapy. Avoidance of AKI remains the cornerstone of management while research continues into effective treatment options.

Preventive measures

Fluids and goal directed therapy

Maintenance of normal renal perfusion is perhaps the most important prophylactic measure, with 80% of patients experiencing postoperative AKI having an episode of hemodynamic instability in the perioperative period [17,46]. The use of fluids in this period is therefore vital although this should be approached with caution as there are equally important recognized postoperative complications associated with excess fluid including poor wound healing and increased duration of mechanical ventilation [76,77]. There is increasing evidence that a positive fluid balance in both surgical and critical care patients is associated with an increase in intra-abdominal hypertension which, in turn, has a detrimental effect on renal function [77-79]. Furthermore, hyperchloremia is often associated with over-zealous fluid resuscitation with 0.9% saline and has been associated with a decrease in renal blood flow [77]. Importantly, studies comparing conservative versus liberal fluid strategies have not seen an increase in the incidence in AKI or an increased need for RRT in the conservative arms [77].

There has, however, been no randomized controlled trial (RCT) directed at addressing the role of fluid hydration in the prevention of AKI in surgical patients [80] and this task often falls to junior members of the team. A targeted approach with titration to specified end-points may in fact be more appropriate [77,81].

Goal directed therapy (GDT) is a strategy that involves the use of fluids, packed red cells and inotropes to reach target hemodynamic parameters including cardiac output and oxygen delivery to prevent organ dysfunction [46,82,83]. Many high risk surgical patients (both elective and emergency) are admitted to the ICU in the perioperative period, often with many comorbidities and GDT in this time period has been associated with fewer complications (including AKI) and improved mortality [84]. In 2009, a meta-analysis demonstrated that AKI is significantly reduced by perioperative hemodynamic optimization, whether done in the pre-, intra- or postoperative period [46]. This is particularly relevant when resources for pre-operative optimization are limited. Of note, meeting physiological values was as ‘reno-protective’ as meeting supra-normal values, which itself may be associated with other complications although this remains a point of debate [46].

The use of sodium bicarbonate has been addressed in cardiac surgery. Following on from work supporting the use of urinary alkanization in contrast nephropathy, a pilot RCT in 100 post-CPB surgical patients showed a reduction in the incidence of AKI in patients receiving sodium bicarbonate versus a placebo saline infusion although no changes were demonstrated in either the need for RRT or mortality [85]. Further trials in this area are ongoing/promising.

Avoidance of nephrotoxic agents

A number of different medications commonly used in the perioperative period have potentially harmful effects on renal function. Angiotensin-converting enzyme inhibitors (ACEi) and angiotensin receptor blockers (ARB) and NSAIDs are among drugs known to affect renal autoregulation. Whether or not to continue ACEi/ARB in the perioperative period remains under debate although a meta-analysis has shown ACEi confer no protective benefits in this time period [86].

NSAIDs can also cause interstitial nephritis and their association with the development of AKI led to recommendations from the Medicines and Healthcare Products Regulatory Agency suggesting that they should be avoided in all patients with hypovolemia and sepsis regardless of renal function [87]. Antibiotics can lead to AKI by either direct injury, for example aminoglycosides in high concentrations, thereby necessitating monitoring of drug levels, or secondary to an acute interstitial nephritis, for example penicillins, quinolones and cephalosporins.

The role of intravenous contrast in AKI is well recognized and where its use is unavoidable, the minimum possible dose should be given as well as using the newer iso-osmolar and low-osmolar non-ionic contrast, now recognized to be less toxic [88,89]. Surgery should be postponed in stable patients with contrast-induced AKI. Whether oral N-acetylcysteine confers any protective benefit in this situation remains controversial [90].

Hemodilution and transfusion in cardiac surgery

Specific to cardiac surgery, the roles of hemodilution and transfusion have also been studied. There is a known association between AKI and erythrocyte transfusion in cardiac surgery [91-94]. More recently, a single center study has both confirmed this and suggested that the level of pre-operative anemia also has an impact, being associated with a more pronounced increase in the incidence of AKI [95]. There is, however, ongoing work into the role of erythropoietin (EPO) in this setting, with a small pilot trial confirming its effectiveness although a larger trial is required before this could be recommended [96]. Hemodilution is induced in the setting of cardio-pulmonary bypass surgery, in theory decreasing blood viscosity and improving microcirculatory flow in the presence of both hypoperfusion and hypothermia. However, this has been associated with a significant increase in the incidence of AKI and, as such, current guidelines underline the importance of limiting hemodilution, with the Society of Thoracic Surgeons and the Society of Cardiovascular Anaesthesiologists recommending maintenance of hematocrit >21% and hemoglobin >7 g/dl [91,97-100].

Pharmacological interventions

There have been many attempts to find pharmacological interventions in the management of AKI, with the ongoing challenge regarding the use of standard definitions and end-points making it difficult to directly compare trial evidence. Until recently there have been no drugs that have consistently been demonstrated to confer benefit, although there is now some emerging evidence in the setting of cardiac surgery [80,86].

Dopamine

Dopamine has been extensively used and its place debated over the years, with much of the early enthusiasm driven by the assumption that increased renal blood flow seen with low-dose dopamine is beneficial in the management of AKI [101-103]. A meta-analysis published in 2001, however, demonstrated no benefit using dopamine for either the prevention or treatment of AKI. This recommendation followed identification and analysis of 58 studies, 24 of which reported the outcomes reviewed (including 17 RCTs) [102]. This was further supported in a systematic literature review, last updated in 2008 [86].

Fenoldopam

Fenoldopam is a selective DA-1 agonist which to date has had mixed results when used in the management of AKI [80,104,105]. In cardiac surgery, however, fenoldopam was shown to consistently reduce the need for RRT and mortality, although its use is potentially complicated by systemic hypotension [80,106]. This undesirable side effect may be improved with the use of intra-renal infusions, an innovative/emerging strategy which to date has proven successful in case reports although further trial information with a larger number of patients is required [105].

Diuretics (furosemide/mannitol)

While use of diuretics may improve urine output in the setting of acute kidney injury, again there is no evidence to support that they confer any improvement in outcomes measured (including need for RRT and mortality) [80,101,107]. Furthermore, use of furosemide has been shown to be not only ineffective but also detrimental, associated with higher postoperative serum creatinine levels in cardiac patients [80,102,108]. Of note, mannitol is often added to the priming solution used in CPB surgery. Although initially shown to confer some preventive benefits in children undergoing CPB surgery, these results have not been reproduced in repeat studies, with a suggestion that mannitol is actually associated with increased tubular injury when given in combination with dopamine [81,106,108,109].

Atrial natriuretic peptide (ANP)

ANP is produced by cardiac atria in response to atrial dilatation and its properties as an endogenous diuretic and natriuretic substance led to further evaluation of ANP as another potential therapy. Early RCTs showed a benefit in only a sub-group of oliguric patients which was not reproduced in follow up studies and systemic hypotension was noted to be a complicating factor [110-113]. A significant reduction in the need for RRT was, however, seen in post-cardiac surgical patients with decompensated congestive cardiac failure (CCF) who received low-dose infusions of recombinant human ANP. Of note, the lower dose infusion was associated with a decrease in the incidence of systemic hypotension, which in itself may contribute to the change in results seen [113,114]. Outside of cardiac surgery, there is at present no perceived benefit with ANP [80,114].

Nesiritide (recombinant human β natriuretic peptide)

Nesiritide is another cardiac natriuretic peptide that is currently under evaluation. Initial results in both cardiac and abdominal aneurysm repair surgery have shown potential protective benefits with an overall reduction in mortality, however, there is a possible association with increased mortality in acutely decompensated heart failure [114-116]. Overall, nesiritide warrants further investigation before recommendations/conclusions can be confidently made [114-116].

Theophylline

Theophylline, an adenosine antagonist, in theory is proposed to preserve renal blood flow by attenuating vasoconstriction of renal vessels [117,118]. Several small studies have been conducted using theophylline in contrast-induced nephropathy; however, a meta-analysis in 2005 was inconclusive and recommended that a RCT in this area with a defined hydration protocol would be of benefit [117]. In the setting of CPB surgery, an infusion of theophylline conferred no benefit in reducing the incidence of AKI [118].

N-acetylcysteine

The role of N-acetlycysteine, an antioxidant most commonly used to enhance formation of glutathione after paracetamol overdose, has not been shown to confer any protective benefits in the perioperative period [119,120]. As mentioned above, there may be some role for this agent in contrast-induced nephropathy [90].

Glycemic control

A landmark study in 2001 demonstrated tight glycemic control and showed improved outcomes in an Intensive Therapy Unit setting, with a 41% reduction in AKI requiring RRT [121]. This has, therefore, sparked renewed focus in this area; however, subsequent studies have not reproduced these benefits [122]. More recently, in cardiac surgery, while severe intraoperative and early postoperative hyperglycemia was associated with poorer outcomes (including an increased incidence of AKI), incremental decreases in mean glucose concentrations did not show consistent improvements in outcomes [123]. Given the inconsistent results seen, the concept of tight glycemic control needs further reassessment, with development of strategies that focus on avoiding large variations in blood glucose and hypoglycemia [122,123].

Prophylactic RRT

There is currently insufficient evidence to support the use of prophylactic RRT in high-risk patients undergoing major surgery. Indeed it seems somewhat counterproductive to dialyze someone in order to prevent dialysis. A single center study in which 44 patients were randomized either to receive prophylactic dialysis or postoperative dialysis if indicated did,,however, show both a decrease in mortality (4.8% versus 30.4%) and in AKI requiring RRT [124]. An effect size this large is statistically very unlikely in practice. Similarly, in the setting of contrast nephropathy, a small single center RCT showed that prophylactic hemofiltration was associated with a decrease in both mortality and morbidity although these findings are limited by the lack of standardized hydration protocols and use of N-Acetyl Cysteine in this trial [125]. However, more evidence is required before this invasive strategy can be recommended.

RRT in established AKI

Many of the goals of modern treatment are to prevent AKI; when established, however, RRT then plays an important role in the subsequent management, with approximately 15% of patients in intensive care with AKI receiving dialysis [126]. Despite decades of research and debate, this remains an area where there is no clear consensus as to the optimal timing, modality or dose of RRT, yet it is recognized as a significant factor affecting outcome in critically ill patients [1,11,127,128]. Earlier studies suggested a benefit to higher dose hemodialysis or hemofiltration [127] although this was not confirmed in follow up studies and the debate rages on [128-131].

Conclusions

AKI is a serious and often under-appreciated complication in the perioperative period, with even small rises in serum creatinine associated with both increased morbidity and mortality. The use of risk stratification indices should help in the identification of high risk patients, useful both for clinical practice and on-going research. Recent advances have been made in the field of biomarkers although this work has yet to be translated into clinical practice and the mainstay of treatment remains preventive, aiming to keep patients optimally hydrated while avoiding nephrotoxic agents. There are no pharmacological agents yet with proven benefits in the management of AKI although there is some emerging evidence favoring the use of fenoldopam and ANP in the setting of cardiac surgery, with novel techniques in the delivery of agents helping to overcome systemic side effects.

Abbreviations

ACEi, Angiotensin converting enzyme inhibitor; AKI, Acute kidney injury; AKIN, Acute Kidney Injury Network; ANP, Atrial natriuretic peptide; ARB, Angiotensin receptor blocker; ARDS, Acute respiratory distress syndrome; AUCROC, Area under the receiver operating characteristic curve; CABG, Coronary artery bypass graft; CCF, Congestive cardiac failure; CKD, Chronic kidney disease; CPB, Cardiopulmonary bypass; DIC, Disseminated intravascular coagulation; EF, Ejection fraction; EPO, Erythropoietin; GDT, Goal directed therapy; GFR, Glomerular filtration rate; IABP, Intra-aortic balloon pump; Il-18, Interleukin-18; KDIGO, Kidney Disease Improving Global Outcomes; KIM-1, Kidney injury molecule-1; LVF, Left ventricular function; MACE, Major adverse cardiac events; NGAL, Neutrophil gelatinase-associated lipocalin; NSAIDs, Non-steroidal anti-inflammatory drugs; RIFLE, Risk Injury, Failure, Loss and End-stage; RCT, Randomized controlled trial; RRT, Renal replacement therapy; TTP, Thrombotic thrombocytopenic purpura.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SC wrote the first draft. SC and AS edited and finalized the review. Both authors read and approved the final manuscript.

Contributor Information

Stacey Calvert, Email: Stacey.calvert@doctors.org.uk.

Andrew Shaw, Email: andrew.shaw@duke.edu.

References

  1. Uchino S, Kellum JA, Bellomo R, Doig GS, Morimatsu H, Morgera S, Schetz M, Tan I, Bouman C, Macedo E, Gibney N, Tolwani A, Ronco C. Acute renal failure in critically ill paitents: a multinational, multicenter study. JAMA. 2005;1:813–818. doi: 10.1001/jama.294.7.813. [DOI] [PubMed] [Google Scholar]
  2. Chertow GM, Levy EM, Hammermeister KE, Grover F, Daley J. Independent association between acute renal failure and mortality following cardiac surgery. Am J Med. 1998;1:343–348. doi: 10.1016/S0002-9343(98)00058-8. [DOI] [PubMed] [Google Scholar]
  3. Thaker CV, Kharat V, Blanck S, Leaonard AC. Acute kidney injury after gastric bypass surgery. Clin J Am Soc Nephrol. 2007;1:426–430. doi: 10.2215/CJN.03961106. [DOI] [PubMed] [Google Scholar]
  4. Loef BG, Epema AH, Smilde TD, Henning RH, Ebels T, Navis G, Stegeman CA. Immediate postoperative renal function deterioration in cardiac surgical patients predicts in-hospital mortality and long-term survival. J Am Soc Nephrol. 2005;1:195–200. doi: 10.1681/ASN.2003100875. [DOI] [PubMed] [Google Scholar]
  5. Lassnigg A, Schmidlin D, Mouhieddine M, Bachmann LM, Druml W, Bauer P, Hiesmayr M. Minimal changes of serum creatinine predict poor prognosis in patients after cardiothoracic surgery: a prospective cohort study. J Am Soc Nephrol. 2004;1:1597–1605. doi: 10.1097/01.ASN.0000130340.93930.DD. [DOI] [PubMed] [Google Scholar]
  6. Ishani A, Nelson D, Clothier B, Schult T, Nugent S, Greer N, Slinin Y, Ensrud KE. The magnitude of acute serum creatinine increase after cardiac surgery and the risk of chronic kidney disease, progression of kidney disease, and death. Arch Intern Med. 2011;1:226–233. doi: 10.1001/archinternmed.2010.514. [DOI] [PubMed] [Google Scholar]
  7. Hobson CE, Yavas S, Segal MS, Schold JD, Tribble CG, Layon AJ, Bihorac A. Acute kidney injury is associated with increased long-term mortality after cardiothoracic surgery. Circulation. 2009;1:2444–2453. doi: 10.1161/CIRCULATIONAHA.108.800011. [DOI] [PubMed] [Google Scholar]
  8. Bihorac A, Yavas S, Subbiah S, Hobson CE, Schold JD, Gabrielli A, Layon AJ, Segal MS. Long term risk of mortality and acute kidney injury during hospitalization after major surgery. Ann Surg. 2009;1:851–858. doi: 10.1097/SLA.0b013e3181a40a0b. [DOI] [PubMed] [Google Scholar]
  9. Lafrance JP, Miller DR. Acute kidney injury associates with increased long-term mortality. J Am Soc Nephrol. 2010;1:345–352. doi: 10.1681/ASN.2009060636. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Palevskky PM. Epidemiology of acute renal failure: the tip of the Iceberg. Clin J Am Soc Nephrol. 2006;1:6–7. doi: 10.2215/CJN.01521005. [DOI] [PubMed] [Google Scholar]
  11. Mehta RL, Pascual MT, Soroko S, Savage BR, Himmelfarb J, Ikizler TA, Paganini EP, Chertow GM. Spectrum of acute renal failure in the intensive care unit: the PICARD experience. Kidney Int. 2004;1:1613–1621. doi: 10.1111/j.1523-1755.2004.00927.x. [DOI] [PubMed] [Google Scholar]
  12. Mehta RL, Kellum JA, Shah AV, Molitoris BA, Ronco C, Warnock DG, Levin A. the Acute Kidney Injury Network. Acute Kidney Injury Network: report of an initiative to improve outcome in acute kidney injury. Crit Care. 2007;1:R31. doi: 10.1186/cc5713. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Metnitz PG, Krenn CG, Steltzer H, Lang T, Ploder J, Lenz K, Le Gall JR, Druml W. Effect of acute renal failure requiring renal replacement therapy on outcome in critically ill patients. Crit Care Med. 2002;1:2051–2058. doi: 10.1097/00003246-200209000-00016. [DOI] [PubMed] [Google Scholar]
  14. Liano F, Junco E, Pascual J, Madero R, Verde E. The spectrum of acute renal failure in the intensive care unit compared with that seen in other settings. The Madrid Acute Renal Failure Study Group. Kidney Int. 1998;1:S16–S24. [PubMed] [Google Scholar]
  15. Druml W. Long term prognosis of patients with acute renal failure: is intensive care worth it? Intensive Care Med. 2005;1:1145–1147. doi: 10.1007/s00134-005-2682-5. [DOI] [PubMed] [Google Scholar]
  16. Mehta RL, Chertow GM. Acute renal failure definitions and classification: time for change? J Am Soc Nephrol. 2003;1:2178–2187. doi: 10.1097/01.ASN.0000079042.13465.1A. [DOI] [PubMed] [Google Scholar]
  17. Carmichael P, Carmichael AR. Acute renal failure in the surgical setting. ANZ J Surg. 2003;1:144–153. doi: 10.1046/j.1445-2197.2003.02640.x. [DOI] [PubMed] [Google Scholar]
  18. Shusterman N, Strom BL, Murray TG, Morrison G, West SL, Maislin G. Risk factors and outcome of hospital acquired acute renal failure. Clinical epidemiologic study. Am J Med. 1987;1:65–71. doi: 10.1016/0002-9343(87)90498-0. [DOI] [PubMed] [Google Scholar]
  19. Liangos O, Wald R, O’Bell JW, Price L, Pereira BJ, Jabor BL. Epidemiology and outcomes of acute renal failure in hospitalized patients: a national survey. Clin J Am Soc Nephrol. 2006;1:43–51. doi: 10.2215/CJN.00220605. [DOI] [PubMed] [Google Scholar]
  20. Kheterpal S, Tremper KK, Englesbe MJ, O’Reilly M, Shanks AM, Fetterman DM, Rosenberg AL, Swartz RD. Predictors of postoperative acute renal failure after noncardiac surgery in patients with previously normal renal function. Anesthesiology. 2007;1:892–902. doi: 10.1097/01.anes.0000290588.29668.38. [DOI] [PubMed] [Google Scholar]
  21. Xue JL, Daniels F, Star RA, Kimmel PL, Eggers PW, Molitoris BA, Himmelfarb J, Collins AJ. Incidence and mortality of acute renal failure in medicare beneficiaries, 1992–2001. J Am Soc Nephrol. 2006;1:1135–1142. doi: 10.1681/ASN.2005060668. [DOI] [PubMed] [Google Scholar]
  22. Chertow GM, Burdick E, Honour M, Bonventre JV, Bates DW. Acute kidney injury, mortality, length of stay, and costs in hospitalized patients. J Am Soc Nephrol. 2005;1:3365–3370. doi: 10.1681/ASN.2004090740. [DOI] [PubMed] [Google Scholar]
  23. Kheterpal S, Tremper KK, Heung M, Rosenberg AL, Englesbe M, Shanks AM, Campbell DA. Development and validation of an acute kidney injury risk index for patients undergoing general surgery. Anesthesiology. 2009;1:505–515. doi: 10.1097/ALN.0b013e3181979440. [DOI] [PubMed] [Google Scholar]
  24. Chertow GM, Lazarus M, Christiansen CL, Cook F, Hammermeister KE, Grover F, Daley J. Preoperative renal risk stratification. Circulation. 1997;1:878–884. doi: 10.1161/01.CIR.95.4.878. [DOI] [PubMed] [Google Scholar]
  25. Kolhe NV, Stevens PE, Crowe AV, Lipkin GW, Harrison DA. Case mix, outcome and activity for patients with severe acute kidney injury during the first 24 hours after admission to an adult general critical care unit: application of predictive models from a secondary analysis of the ICNARC Case Mix Programme database. Crit Care. 2008;1(Suppl 1):S2. doi: 10.1186/cc7003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Bellomo R, Kellum JA, Ronco C. Defining acute renal failure: physiological principles. Intensive Care Med. 2006;1:33–37. doi: 10.1007/s00134-003-2078-3. [DOI] [PubMed] [Google Scholar]
  27. Bellomo R, Kellum JA, Ronco C. Defining and classifying acute renal failure: from advocacy to consensus and validation of the RIFLE criteria. Intensive Care Med. 2009;1:409–413. doi: 10.1007/s00134-006-0478-x. [DOI] [PubMed] [Google Scholar]
  28. Bellomo R, Ronco C, Kellum JA, Mehta RL, Palevsky P. Acute renal failure: definition, outcome measures, animal models, fluid therapy and information technology needs: the Second International Consensus Conference of the Acute Dialysis Quality Initiative (ADQI) Group. Crit Care. 2004;1:R204–R212. doi: 10.1186/cc2872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Bagshaw SM, George C, Bellomo R. A comparison of the RIFLE and AKIN criteria for acute kidney injury in critically ill patients. Nephrol Dial Transplant. 2008;1:1569–1574. doi: 10.1093/ndt/gfn009. [DOI] [PubMed] [Google Scholar]
  30. Abosaif NY, Tolba YA, Heap M, Russel J, El Nahas AM. The outcome of acute renal failure in the intensive care unit according to RIFLE: model application, sensitivity, and predictability. Am J Kidney Dis. 2005;1:1038–1048. doi: 10.1053/j.ajkd.2005.08.033. [DOI] [PubMed] [Google Scholar]
  31. Hoste EA, Clermont G, Kerston A, Ventataraman R, Angus DC, De Bacquer D, Kellum JA. RIFLE criteria for acute kidney injury are associated with hospital mortality in critically ill patients: a cohort analysis. Crit Care. 2006;1:R73. doi: 10.1186/cc4915. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Kuitunen A, Vento A, Suojaranta-Ylinen R, Pettila V. Acute renal failure after cardiac surgery: evaluation of the RIFLE criteria. Ann Thorac Surg. 2006;1:542–546. doi: 10.1016/j.athoracsur.2005.07.047. [DOI] [PubMed] [Google Scholar]
  33. Uchino S, Bellomo R, Goldsmith D, Bates S, Ronco C. An assessment of RIFLE criteria for acute renal failure in hospitalized patients. Crit Care Med. 2006;1:1913–1917. doi: 10.1097/01.CCM.0000224227.70642.4F. [DOI] [PubMed] [Google Scholar]
  34. Ostermann M, Chang RW. Acute kidney injury in the intensive care unit according to RIFLE. Crit Care Med. 2007;1:1837–1845. doi: 10.1097/01.CCM.0000277041.13090.0A. [DOI] [PubMed] [Google Scholar]
  35. O’Riordan A, Wong V, McQuillan R, McCormick PA, Hegarty JE, Watson AJ. Acute renal disease, as defined by the RIFLE criteria, post-liver transplantation. Am J Transplant. 2007;1:168–176. doi: 10.1111/j.1600-6143.2006.01602.x. [DOI] [PubMed] [Google Scholar]
  36. Disease K. Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guidelines for Acute Kidney Injury. Kidney Int Suppl. 2012;1:1–138. [Google Scholar]
  37. Selby NM, Crowley L, Fluck RJ, McIntyre CW, Monaghan J, Lawson H, Kohle NV. Use of electronic results reporting to diagnose and monitor AKI in hospitalized patients. Clin J Am Soc Nephrol. 2012;1:533–540. doi: 10.2215/CJN.08970911. [DOI] [PubMed] [Google Scholar]
  38. Coca SG, Yalavarthy R, Concato J, Parikh CR. Biomarkers for the diagnosis and risk stratification of acute kidney injury: a systematic review. Kidney Int. 2007;1:1008–1016. doi: 10.1038/sj.ki.5002729. [DOI] [PubMed] [Google Scholar]
  39. Dent CL, Ma Q, Dastrala S, Bennett M, Mitsnefes MM, Barasch J, Devarajan P. Plasma neutrophil gelatinase-associated lipocalin predicts acute kidney injury, morbidity and mortality after pediatric cardiac surgery: a prospective uncontrolled cohort study. Crit Care. 2007;1:R127. doi: 10.1186/cc6192. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Herget-Rosenthal S, Marggraf G, Husing J, Goring F, Petruck F, Janssen O, Philipp T, Kribben A. Early detection of acute renal failure by serum cystatin C. Kidney Int. 2004;1:1115–1122. doi: 10.1111/j.1523-1755.2004.00861.x. [DOI] [PubMed] [Google Scholar]
  41. American Society of Nephrology Renal Research Report. J Am Soc Nephrol. 2005;1:1886–1890. doi: 10.1681/ASN.2005030285. [DOI] [PubMed] [Google Scholar]
  42. Thakar CV, Arrigain S, Worley S, Yared JP, Paganini EP. A clinical score to predict acute renal failure after cardiac surgery. J Am Soc Nephrol. 2005;1:162–168. doi: 10.1681/ASN.2004040331. [DOI] [PubMed] [Google Scholar]
  43. Fortescue EB, Bates DW, Chertow GM. Predicting acute renal failure after coronary bypass surgery: cross-validation of two risk stratification algorithms. Kidney Int. 2000;1:2594–2602. doi: 10.1046/j.1523-1755.2000.00119.x. [DOI] [PubMed] [Google Scholar]
  44. Thakar CV, Liangos O, Yared J-P, Nelson DA, Hariachar S, Paganini EP. Validation and re-definition of a risk stratification algorithm. Hemodial Int. 2003;1:143–147. doi: 10.1046/j.1492-7535.2003.00029.x. [DOI] [PubMed] [Google Scholar]
  45. Eriksen BO, Hoff KRS, Solberg S. Prediction of acute renal failure after cardiac surgery: retrospective cross-validation of a clinical algorithm. Nephrol Dial Transplant. 2003;1:77–81. doi: 10.1093/ndt/18.1.77. [DOI] [PubMed] [Google Scholar]
  46. Brienza N, Giglio MT, Marucci M, Fiore T. Does perioperative hemodynamic optimization protect renal function in surgical patients? A meta-analytic study. Crit Care Med. 2009;1:2079–2090. doi: 10.1097/CCM.0b013e3181a00a43. [DOI] [PubMed] [Google Scholar]
  47. Candela-Toha A, Elias-Martin E, Abraira V, Tenorio MT, Parise D, de Pablo A, Centella T, Liano F. Predicting acute renal failure after cardiac surgery: external validation of two new clinical scores. Clin J Am Soc Neprhol. 2008;1:1260–1265. doi: 10.2215/CJN.00560208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Mayeux R. Biomarkers: potential uses and limitations. NeuroRx. 2004;1:182–188. doi: 10.1602/neurorx.1.2.182. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Ray P, Yannick M, Riou B, Houle T. Statistical evaluation of a biomarker. Anesthesiology. 2010;1:1023–1040. doi: 10.1097/ALN.0b013e3181d47604. [DOI] [PubMed] [Google Scholar]
  50. Waiker SS, Betensky RA, Bonventre JV. Creatinine as the gold standard for kidney injury biomarker studies? Nephrol Dial Transplant. 2009;1:3263–3265. doi: 10.1093/ndt/gfp428. [DOI] [PubMed] [Google Scholar]
  51. Mishra J, Dent C, Tarabishi R, Mitsnefes MM, Ma Q, Kelly C, Ruff SM, Zahedi K, Shao M, Bean J, Mori K, Barasch J, Devarajan P. Neutrophil gelatinase-associated lipocalin (NGAL) as a biomarker for acute renal failure after cardiac surgery. Lancet. 2005;1:1231–1238. doi: 10.1016/S0140-6736(05)74811-X. [DOI] [PubMed] [Google Scholar]
  52. Wagener G, Gubitosa G, Wang S, Borregaard N, Kim M, Lee HT. Urinary neutrophil gelatinase-associated lipocalin and acute kidney injury after cardiac surgery. Am J Kidney Dis. 2008;1:425–433. doi: 10.1053/j.ajkd.2008.05.018. [DOI] [PubMed] [Google Scholar]
  53. Hirch R, Dent C, Pfriem H, Allen J, Beekman RH, Ma Q, Bennett M, Mitsnefes M, Devarajan P. NGAL is an early predictive biomarker of contrast-induced nephropathy in children. Pediatr Nephrol. 2007;1:2089–2095. doi: 10.1007/s00467-007-0601-4. [DOI] [PubMed] [Google Scholar]
  54. Mishra J, Ma Q, Prada A, Mitsnefes M, Zahedi K, Yang J, Barasch J, Devarajan P. Identification of neutrophil gelatinase-associated lipocalin as a novel early urinary biomarker for ischemic renal injury. J Am Soc Nephrol. 2003;1:2534–2543. doi: 10.1097/01.ASN.0000088027.54400.C6. [DOI] [PubMed] [Google Scholar]
  55. Perry TE, Muehlschlegel JD, Liu KY, Fax AA, Collard CD, Shernan SK. Body SC for the CABG Genomics Investigators. Plasma neutrophil gelatinase-associated lipocalin and acute postoperative kidney injury in adult cardiac surgical patients. Anesth Analg. 2010;1:1541–1547. doi: 10.1213/ANE.0b013e3181da938e. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Koyner JL, Vaidya VS, Bennett MR, Ma Q, Worcester E, Akhtar SA, Raman J, Jeevanandam V, O’Connor MF, Devarajan P, Bonventre JV, Murray PT. Urinary biomarkers in the clinical prognosis and early detection of acute kidney injury. Clin J Am Soc Nephrol. 2010;1:2154–2165. doi: 10.2215/CJN.00740110. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. McIlroy DR, Wagener G, Lee TH. Neutrophil gelatinase-associated lipocalin and acute kidney injury after cardiac surgery: the effect of baseline renal function on diagnostic performance. Clin J Am Soc Nephrol. 2010;1:211–219. doi: 10.2215/CJN.04240609. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Han WK, Bailly V, Abichandani R, Thadhani R, Bonventre JV. Kidney injury molecule-1 (KIM-1): a novel biomarker for human renal proximal tubule injury. Kidney Int. 2002;1:237–244. doi: 10.1046/j.1523-1755.2002.00433.x. [DOI] [PubMed] [Google Scholar]
  59. Han WK, Waikar SS, Johnson A, Betensky RA, Dent CL, Deverajan P, Bonventre JV. Urinary biomarkers in the early diagnosis of acute kidney injury. Kidney Int. 2008;1:863–869. doi: 10.1038/sj.ki.5002715. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Liangos O, Perianayagam MC, Vaidya VS, Han WK, Wald R, Tighiouart H, MacKinnon RW, Li L, Balakrishnan VS, Pereira BJG, Bonventre JV, Jaber BL. Urinary N-acetyl-β-(D)-glucosaminidase activity and kidney injury molecule-1 level are associated with adverse outcomes in acute renal failure. J Am Soc Nephrol. 2007;1:904–912. doi: 10.1681/ASN.2006030221. [DOI] [PubMed] [Google Scholar]
  61. Parikh CR, Mishra J, Thiessen-Philbrook H, Dursun B, Ma Q, Kelly C, Dent C, Deverajan P, Edelstein CL. Urinary IL-18 is an early predictive biomarker of acute kidney injury after cardiac surgery. Kidney Int. 2006;1:199–203. doi: 10.1038/sj.ki.5001527. [DOI] [PubMed] [Google Scholar]
  62. Parikh CR, Jani A, Melnikov VY, Faubel S, Edelstein CL. Urinary interleukin-18 is a marker of human acute tubular necrosis. Am J Kidney Dis. 2004;1:405–414. doi: 10.1053/j.ajkd.2003.10.040. [DOI] [PubMed] [Google Scholar]
  63. Parikh CR, Abraham E, Ancukiewicz M, Edelstein CL. Urine IL-18 is an early diagnostic marker for acute kidney injury and predicts mortality in the intensive care unit. J Am Soc Nephrol. 2005;1:3046–3052. doi: 10.1681/ASN.2005030236. [DOI] [PubMed] [Google Scholar]
  64. Washburn KK, Zappitelli M, Arikan AA, Lofis L, Yalavarthy R, Parikh CR, Edelstein CL, Goldstein SL. Urinary interleukin-18 is an acute kidney injury biomarker in critically ill children. Nephrol Dial Transplant. 2008;1:566–572. doi: 10.1093/ndt/gfm638. [DOI] [PubMed] [Google Scholar]
  65. Parikh CR, Jani A, Mishra J, Ma Q, Kelly C, Barasch J, Edelsteinn CL, Deverajan P. Urine NGAL and IL-18 are predictive biomarkers for delayed graft function following kidney transplantation. Am J Transplant. 2006;1:1639–1645. doi: 10.1111/j.1600-6143.2006.01352.x. [DOI] [PubMed] [Google Scholar]
  66. Wald R, Liangos O, Perianayagam MC, Kolyada A, Herget-Rosenthal S, Mazer CD, Jaber BL. Plasma cystatin C and acute kidney injury after cardiopulmonary bypass. Clin J Am Soc Nephrol. 2010;1:1373–1379. doi: 10.2215/CJN.06350909. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Koyner JL, Bennet MR, Worcester EM, Ma Q, Raman J, Jeevanadam V, Kasza KE, O’Connor MF, Konczal DJ, Trevino S, Devarajan P, Murray PT. Urinary cystatin C as an early biomarker of acute kidney injury following adult cardiothoracic surgery. Kidney Int. 2008;1:1059–1069. doi: 10.1038/ki.2008.341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  68. Dharnidharka VR, Kown C, Stevens G. Serum cystatin C is superior to serum creatinine as a marker of kidney function: a meta-analysis. Am J Kidney Disease. 2002;1:221–226. doi: 10.1053/ajkd.2002.34487. [DOI] [PubMed] [Google Scholar]
  69. Redfors B, Bragadottir G, Sellgren J, Sward K, Rickstein SE. Acute renal failure is NOT an “acute renal success” – a clinical study on the renal oxygen supply/demand relationship in acute kidney injury. Crit Care Med. 2010;1:1695–1701. doi: 10.1097/CCM.0b013e3181e61911. [DOI] [PubMed] [Google Scholar]
  70. Brezis M, Rosen S, Silva P, Epstein FH. Renal ischemia: a new perspective. Kidney Int. 1984;1:375–383. doi: 10.1038/ki.1984.185. [DOI] [PubMed] [Google Scholar]
  71. Bonventre JV, Weinberg JM. Recent advances in the pathophysiology of ischemic acute renal failure. J Am Soc Nephrol. 2003;1:2199–2210. doi: 10.1097/01.ASN.0000079785.13922.F6. [DOI] [PubMed] [Google Scholar]
  72. Callister MEJ, Evans TW. Pulmonary vs extra-pulmonary ARDS: different disease or just a useful concept. Curr Opin Crit Care. 2002;1:21–25. doi: 10.1097/00075198-200202000-00004. [DOI] [PubMed] [Google Scholar]
  73. Okusa MD. The inflammatory cascade in acute ischemic renal failure. Nephron. 2002;1:133–138. doi: 10.1159/000049032. [DOI] [PubMed] [Google Scholar]
  74. Wan L, Bellomo R, Giantomasso DD, Ronco C. The pathogenesis of septic acute renal failure. Curr Opin Crit Care. 2003;1:496–502. doi: 10.1097/00075198-200312000-00006. [DOI] [PubMed] [Google Scholar]
  75. Fink MP. Cytopathic hypoxia. Is oxygen use impaired in sepsis as a result of an acquired intrinsic derangement in cellular respiration? Crit Care Clin. 2002;1:165–175. doi: 10.1016/S0749-0704(03)00071-X. [DOI] [PubMed] [Google Scholar]
  76. Rahbari NN, Zimmermann JB, Schmidt T, Koch M, Weigand MA, Weitz J. Meta-analysis of standard, restrictive and supplemental fluid administration in colorectal surgery. Br J Surg. 2009;1:331–341. doi: 10.1002/bjs.6552. [DOI] [PubMed] [Google Scholar]
  77. Prowle JR, Echeverri JE, Ligabo EV, Ronco C, Bellomo R. Fluid balance and acute kidney injury. Nat Rev Nephrol. 2010;1:107–115. doi: 10.1038/nrneph.2009.213. [DOI] [PubMed] [Google Scholar]
  78. Sugrue M, Jones F, Deane SAG, Bauman A, Hillman K. Intra-abdominal hypertension is an independent cause of post-operative renal impairment. Arch Surg. 1999;1:1082–1085. doi: 10.1001/archsurg.134.10.1082. [DOI] [PubMed] [Google Scholar]
  79. McNelis J, Marini CP, Jurkiwicz A, Fields S, Caplin D, Stein D, Ritter G, Nathan I, Simms H. Predictive factors associated with the development of abdominal compartment syndrome in the surgical intensive care unit. Arch Surg. 2002;1:133–136. doi: 10.1001/archsurg.137.2.133. [DOI] [PubMed] [Google Scholar]
  80. Joannidis M, Druml W, Forni LG, Groeneveld ABJ, Honore P, Oudemas-van Straated HM, Ronco C, Schetz MRC, Wottiez AJ. Prevention of acute kidney injury and protection of renal function in ITU. Intensive Care Med. 2010;1:392–411. doi: 10.1007/s00134-009-1678-y. [DOI] [PubMed] [Google Scholar]
  81. Chappell D, Matthias J, Hofmann-Kiefer K, Conzen P, Rehm M. A rational approach to perioperative fluid management. Anesthesiology. 2008;1:723–740. doi: 10.1097/ALN.0b013e3181863117. [DOI] [PubMed] [Google Scholar]
  82. Pearse R, Dawson D, Fawcett J, Rhodes A, Grounds RM, Bennett EDl. Early goal-directed therapy after major surgery reduces complications and duration of hospital stay. A randomized controlled trial. Crit Care. 2005;1:R687–R693. doi: 10.1186/cc3887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  83. Shoemaker WC, Appel PL, Kram HB. Hemodynamic and oxygen transport responses in survivors and non-survivors of high-risk surgery. Crit Care Med. 1993;1:977–990. doi: 10.1097/00003246-199307000-00010. [DOI] [PubMed] [Google Scholar]
  84. Rhodes A, Cecconi M, Hamilton M, Poloniecki J, Woods J, Boyd O, Bennett D, Grounds RM. Goal-directed therapy in high-risk surgical patients: a 15-year follow-up study. Intensive Care Med. 2010;1:1327–1332. doi: 10.1007/s00134-010-1869-6. [DOI] [PubMed] [Google Scholar]
  85. Haase M, Haase-Fielitz A, Bellomo R, Devararjan P, Story D, Matalanis G, Reade MC, Bagshaw SM, Seevanayagam N, Seevanayagam S, Doolan L, Buxton B, Dragun D. Sodium bicarbonate to prevent increases in serum creatinine after cardiac surgery: a pilot double-blind, randomized controlled trial. Crit Care Med. 2009;1:39–47. doi: 10.1097/CCM.0b013e318193216f. [DOI] [PubMed] [Google Scholar]
  86. Zacharias M, Conlon NP, Herbison GP, Sivalingam P, Hovhannisyan K. Interventions for preventing renal function in the perioperative period. Cochrane Database Syst Rev. 2008;1(4) doi: 10.1002/14651858.CD003590.pub3. CD003590. [DOI] [PubMed] [Google Scholar]
  87. Medicines and Healthcare Products Regulatory Agency: Non-steroidal anti-inflammatory drugs: reminder on renal failure and impairment. http://www.mhra.gov.uk/Publications/Safetyguidance/DrugSafetyUpdate/CON088004.
  88. McCullough PA, Soman SS. Contrast induced nephropathy. Crit Care Clin. 2005;1:261–280. doi: 10.1016/j.ccc.2004.12.003. [DOI] [PubMed] [Google Scholar]
  89. Aspelin P, Aubry P, Fransson SG, Strasser R, Willenbrock R, Berg KJ. NEPHRIC Study Investigators. Nephrotoxic effects in high-risk patients undergoing angiography. N Engl J Med. 2003;1:491–499. doi: 10.1056/NEJMoa021833. [DOI] [PubMed] [Google Scholar]
  90. Brigouri C, Colombo A, Violante A, Balastrieri P, Manganelli F, Paolo Elia P, Golia B, Lepore S, Riviezzo G, Scarpato P, Focaccio A, Librera M, Bonizzoni E, Ricciardelli B. Standard vs double dose of N-acetylcysteine to prevent contrast agent associated nephrotoxicity. Eur Heart J. 2004;1:206–211. doi: 10.1016/j.ehj.2003.11.016. [DOI] [PubMed] [Google Scholar]
  91. Habib RH, Zacharias A, Schwann TA. Role of hemodilutional anemia and transfusion during cardiopulmonary bypass in renal injury after coronary revascularization: implications on operative outcomes. Crit Care Med. 2005;1:1749–1756. doi: 10.1097/01.CCM.0000171531.06133.B0. [DOI] [PubMed] [Google Scholar]
  92. Kartouki K, Wijeysundera DN, Yau TM, Callum JL, Cheng DC, Crowther M, Dupuis JY, Fremes SE, Kent B, Laflamme C, Lamy A, Legare JF, Mazer CD, McCLuskey SA, Rubens FD, Sawchuk C, Beattie WS. Acute kidney injury after cardiac surgery: focus on modifiable risk factors. Circulation. 2009;1:495–502. doi: 10.1161/CIRCULATIONAHA.108.786913. [DOI] [PubMed] [Google Scholar]
  93. Murphy GJ, Reeves BC, Rogers CA, Rizvi SI, Culliford L, Angelini GD. Increased mortality, postoperative morbidity, and cost after red blood cell transfusion in patients having cardiac surgery. Circulation. 2007;1:2544–2552. doi: 10.1161/CIRCULATIONAHA.107.698977. [DOI] [PubMed] [Google Scholar]
  94. Kartouki K, Wijeysundera DN, Beattie WS. Risk associated with preoperative anemia in cardiac surgery: a multicenter cohort study. Circulation. 2008;1:478–484. doi: 10.1161/CIRCULATIONAHA.107.718353. [DOI] [PubMed] [Google Scholar]
  95. Kartouki K, Wijeysundera DN, Yau TM, McCluskey SA, Chan CT, Wony PY, Beattie WS. Influence of erythrocyte transfusion on the risk of acute kidney injury after cardiac surgery differs in anemic and nonanemic patients. Anesthesiology. 2011;1:523–530. doi: 10.1097/ALN.0b013e318229a7e8. [DOI] [PubMed] [Google Scholar]
  96. Song YR, Lee T, You SJ, Chin HJ, Chae DW, Lim C, Park KH, Han S, Kim JH, Na KY. Prevention of acute kidney injury by erythropoietin in patients undergoing coronary artery bypass gratfing: a pilot study. Am J Nephrol. 2009;1:253–260. doi: 10.1159/000223229. [DOI] [PubMed] [Google Scholar]
  97. Swaminathan M, Phillips-Bute BG, Conlon PJ, Smith PK, Newman MF, Stafford-Smith M. The association of lowest hematocrit during cardiopulmonary bypass surgery with acute renal failure after coronary artery bypass surgery. Ann Thorac Surg. 2003;1:784–792. doi: 10.1016/S0003-4975(03)00558-7. [DOI] [PubMed] [Google Scholar]
  98. Karkouti K, Beattie WS, Wijeysundera DN, Rao V, Chan C, Dattilo KM, Djaiani G, Ivanon J, Karski J, David TE. Hemodilution during cardiopulmonary bypass is an independent risk factor for acute renal failure in adult cardiac surgery. J Thorac Cardiovasc Surg. 2005;1:391–400. doi: 10.1016/j.jtcvs.2004.06.028. [DOI] [PubMed] [Google Scholar]
  99. Society of Thoracic Surgeons Blood Conservation Guideline Task Force; Ferraris VA, Ferraris SP, Saha SP, Hessel EA, Haan CK, Royston BD, Bridges CR, Higgins RS, Despotis G, Brown JR. Society of Cardiovascular Anaesthesiologists Special Task Force on Blood Transfusion. Speiss BD, Shore-Lesserson L, Stafford-Smith M, Mazer CD, Bennett-Guerrero E, Hill E, Body S. Perioperative blood transfusion and blood conservation in cardiac surgery: the Society of Thoracic Surgeons and The Society of Cardiovascular Anesthesiologists clinical practice guideline. Ann Thorac Surg. 2007;1:S27–S86. doi: 10.1016/j.athoracsur.2007.02.099. [DOI] [PubMed] [Google Scholar]
  100. Vretzakis G, Kleitsaki A, Stamoulis K, Bareka M, Georgopoulou S, Karanikolas M, Giannoulas A. Intra-operative intravenous fluid restriction reduces perioperative red blood cell transfusion in elective cardiac surgery, especially in transfusion-prone patients: a prospective, randomized controlled trial. J Cardiothorac Surg. 2010;1:7. doi: 10.1186/1749-8090-5-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  101. Lassnigg A, Donner E, Grubhofer G, Presterl E, Druml W, Hiesmayr M. Lack of renoprotective effects of dopamine and furosemide during cardiac surgery. J Am Soc Nephrol. 2000;1:97–104. doi: 10.1681/ASN.V11197. [DOI] [PubMed] [Google Scholar]
  102. Carcoana OV, Hines RL. Is renal dose dopamine protective or therapeutic? Yes. Crit Care Clin. 1996;1:677–685. doi: 10.1016/S0749-0704(05)70271-2. [DOI] [PubMed] [Google Scholar]
  103. Kellum JA, Decker JM. Use of dopamine in acute renal failure: A meta-analysis. Crit Care Med. 2001;1:1526–1531. doi: 10.1097/00003246-200108000-00005. [DOI] [PubMed] [Google Scholar]
  104. Landoni G, Biondi-Zoccai GG, Marino G, Bove T, Fochi O, Maj G, Calabro MG, Sheiban I, Tumlin JA, Ranucci M, Zangrillo A. Fenoldopam reduces the need for renal replacement therapy and in-hospital death in cardiovascular surgery: a meta-analysis. J Cardiothorac Vasc Anesth. 2008;1:27–33. doi: 10.1053/j.jvca.2007.07.015. [DOI] [PubMed] [Google Scholar]
  105. Ng MK, Tremmel J, Fitzgerald PJ, Fearon WF. Selective renal arterial infusion of fenoldopam for the prevention of contrast-induced nephropathy. J Interv Cardiol. 2006;1:75–79. doi: 10.1111/j.1540-8183.2006.00108.x. [DOI] [PubMed] [Google Scholar]
  106. Carcoana OV, Mathew JP, David E, Byrne DW, Hayslett JP, Hines RL, Garwood S. Mannitol and dopamine in patients undergoing cardiopulmonary bypass: A randomized clinical trial. Anesth Analg. 2003;1:1222–1229. doi: 10.1213/01.ANE.0000086727.42573.A8. [DOI] [PubMed] [Google Scholar]
  107. Sirivella S, Gielchinsky I, Parsonnet V. Mannitol, furosemide, and dopamine infusion in postoperative renal failure complicating cardiac surgery. Ann Thorac Surg. 2000;1:501–506. doi: 10.1016/S0003-4975(99)01298-9. [DOI] [PubMed] [Google Scholar]
  108. Van der Voort PHJ, Boerma EC, Koopmans M, Zandberg M, de Ruiter J, Gerritsen RT, Egbers PH, Kingma WP, Kuiper MA. Furosemide does not improve renal recovery after hemofiltration for acute renal failure: a double blind randomized controlled trial. Crit Care Med. 2009;1:533–538. doi: 10.1097/CCM.0b013e318195424d. [DOI] [PubMed] [Google Scholar]
  109. Rigden SP, Dillon MJ, Kind PR, de Leval M, Stark J, Barratt TM. The beneficial effect of mannitol on postoperative renal function in children undergoing cardiopulmonary bypass surgery. Clin Nephrol. 1984;1:148–151. [PubMed] [Google Scholar]
  110. Allgren RL, Marbury TC, Rahman SN, Weisberg LS, Fenves AZ, Lafayette RA, Sweet RM, Genter FC, Kurnik BR, Conger JD, Sayegh MH. Anaritide in acute tubular necrosis: Auriculin Anaritide Acute Renal Failure Study Group. N Engl J Med. 1997;1:828–834. doi: 10.1056/NEJM199703203361203. [DOI] [PubMed] [Google Scholar]
  111. Lewis J, Salem MM, Chertow GM, Weidberg LS, McGrew F, Marbury TC, Allgren RL. Atrial natriuretic factor in oliguric acute renal failure. Anaritide Acute Renal Failure Study Group. Am J Kidney Dis. 2000;1:767–774. doi: 10.1053/ajkd.2000.17659. [DOI] [PubMed] [Google Scholar]
  112. Rahman SN, Kim GE, Mathew AS, Goldberg CA, Allgren R, Schrier RW, Conger JD. Effects of atrial natriuretic peptide in clinical acute renal failure. Kidney Int. 1994;1:1731–1738. doi: 10.1038/ki.1994.225. [DOI] [PubMed] [Google Scholar]
  113. Sward K, Valsson F, Odencrants P, Samuelsson O, Ricksten SE. Recombinant human atrial natriuretic peptide in ischemic acute renal failure: a randomized placebo-controlled trial. Crit Care Med. 2004;1:1310–1315. doi: 10.1097/01.CCM.0000128560.57111.CD. [DOI] [PubMed] [Google Scholar]
  114. Nigewaker SU, Navaneethan SD, Parikh CR, Hix JK. Atrial natriuretic peptide for management of acute kidney injury: a systematic review and meta-analysis. Clin J Am Soc Nephrol. 2009;1:261–272. doi: 10.2215/CJN.03780808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  115. Mentzer RM, Oz MC, Sladen RC, Graeve AH, Hebeler RF, Luber JM, Smedira NG. NAPA Investigators. Effects of perioperative nesiritide in patients with left ventricular dysfunction undergoing cardiac surgery: The NAPA trial. J Am Coll Cardiol. 2007;1:716–726. doi: 10.1016/j.jacc.2006.10.048. [DOI] [PubMed] [Google Scholar]
  116. Sackner-Bernstein JD, Kowalski M, Fox M, Aaronson K. Short-term risk of death after treatment with nesiritide for decompensated heart failure: a pooled analysis of randomized controlled trials. JAMA. 2005;1:1900–1905. doi: 10.1001/jama.293.15.1900. [DOI] [PubMed] [Google Scholar]
  117. Bagshaw SM, Ghali A. Theophylline for prevention of contrast-induced nephrology. Arch Intern Med. 2005;1:1087–1093. doi: 10.1001/archinte.165.10.1087. [DOI] [PubMed] [Google Scholar]
  118. Kramer BK, Preuner J, Ebenburger A, Kaiser M, Bergner U, Eilles C, Kammerl MC, Riegger GAJ, Birnbaum DE. Lack of renoprotective effect of theophylline during aortocoronary bypass surgery. Nephrol Dial Transplant. 2002;1:910–915. doi: 10.1093/ndt/17.5.910. [DOI] [PubMed] [Google Scholar]
  119. Adabag AS, Ishani A, Bloomfoeld HE, Ngo AK, Wilt TJ. Efficacy of N-acetylcysteine in preventing renal injury after heart surgery: a systematic review of randomized trials. Eur Heart Journal. 2009;1:1910–1917. doi: 10.1093/eurheartj/ehp053. [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Nigwekar SU, Kandula P. N-acetylcysteine in cardiovascular-surgery-associated renal failure: a meta-analysis. Ann Thorac Surg. 2009;1:139–147. doi: 10.1016/j.athoracsur.2008.09.026. [DOI] [PubMed] [Google Scholar]
  121. Van de Berghe G, Wouters P, Weekers F, Verwaest C, Bruyninckx F, Schetz M, Vlasselaers D, Ferdinande P, Lauwers P, Bouillon R. Intensive insulin therapy in critically ill patients. N Engl J Med. 2001;1:1359–1367. doi: 10.1056/NEJMoa011300. [DOI] [PubMed] [Google Scholar]
  122. Lena D, Kalfon P, Preiser JC, Ichai C. Glycemic control in the Intensive Care Unit and during the postoperative period. Anesthesiology. 2011;1:438–444. doi: 10.1097/ALN.0b013e3182078843. [DOI] [PubMed] [Google Scholar]
  123. Duncan AE, Abd-Elsayed A, Maheshwari A, Xu M, Soltesz E, Koch CG. Role of intraoperative and postoperative blood glucose concentrations in predicting outcomes after cardiac surgery. Anesthesiology. 2010;1:860–871. doi: 10.1097/ALN.0b013e3181d3d4b4. [DOI] [PubMed] [Google Scholar]
  124. Durmaz I, Yagdi T, Calkavur T, Mahmudiv R, Apaydon AZ, Posacioglu H, Atay Y, Engin C. Prophylactic dialysis in patients with renal dysfunction undergoing on-pump coronary artery bypass surgery. Ann Thorac Surg. 2003;1:859–864. doi: 10.1016/S0003-4975(02)04635-0. [DOI] [PubMed] [Google Scholar]
  125. Marenzi G, Marana I, Lauri G, Assanelli E, Grazi M, Campodonico J, Trabattoni D, Fabiocchi F, Montorsi P, Bartorelli AL. The prevention of radiocontrast-agent-induced nephropathy by hemofiltration. N Eng J Med. 2003;1:1333–1340. doi: 10.1056/NEJMoa023204. [DOI] [PubMed] [Google Scholar]
  126. Ostermann M, Chang R. Correlation between the AKI classification and outcome. Crit Care. 2008;1:R144. doi: 10.1186/cc7123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  127. Granado RC, Mehta RL. Assessing and delivering dialysis dose in acute kidney injury. Semin Dial. 2011;1:157–163. doi: 10.1111/j.1525-139X.2011.00833.x. [DOI] [PubMed] [Google Scholar]
  128. Ronco C, Bellomo R, Homel P, Brendolan A, Dan M, Piccinni P, La Greca G. Effects of different doses in continuous veno-venous haemofiltration on outcomes of acute renal failure: A prospective randomised trial. Lancet. 2000;1:26–30. doi: 10.1016/S0140-6736(00)02430-2. [DOI] [PubMed] [Google Scholar]
  129. Tolwani AJ, Campbell RC, Stofan BS, Lai KR, Oster RA, Wille KM. Standard versus high dose CVVHDF for ICU-related acute renal failure. J Am Soc Nephrol. 2008;1:1233–1238. doi: 10.1681/ASN.2007111173. [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Bellomo R, Cass A, Cole L, Finfer S, Gallagher M, Lo S, McArthur C, McGuiness S, Myburgh J, Norton R, Scheinkestel C, Su S. Intensity of continuous renal replacement therapy in critically ill patients. N Engl J Med. 2009;1:1627–1638. doi: 10.1056/NEJMoa0902413. [DOI] [PubMed] [Google Scholar]
  131. Palevsky PM, Zhang JH, O’Connor TZ, Chertow GM, Crowley ST, Choudhury D, Finkel K, Kellum JA, Paganini E, Schein RM, Smith MW, Swanson KM, Thompson BT, Vijayan A, Watnick S, Star RA, Peduzzi P. Intensity of renal support in critically ill patients with acute kidney injury. N Engl J Med. 2008;1:7–20. doi: 10.1056/NEJMoa0802639. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Perioperative Medicine are provided here courtesy of BMC

RESOURCES