Abstract
The interactions of pulmonary and renal physiology that underlie acute lung injury (ALI) and acute kidney injury (AKI) have been recognized for nearly a century. The understanding of lung-kidney crosstalk has evolved and is recognized as an important factor in patient management and outcomes. We aim to describe the association between fluid accumulation (FA) and ALI with outcomes of critically ill children and young adults requiring continuous renal replacement therapy (CRRT). Planned secondary analysis using data from the Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE-ROCK). ALI severity was defined using the Berlin oxygenation criteria. Fluid accumulation was categorized as ≤ 10%, > 10–20%, and > 20% at CRRT initiation. Illness severity was quantified using the Pediatric Logistic Organ Dysfunction Score 2 (PELOD-2). The primary outcome was intensive care unit (ICU) mortality. Secondary outcomes included (1) 28-day mechanical ventilation (IMV) free days, (2) 28-day ICU free days, and (3) major adverse kidney events at 90 days (MAKE90) defined by death, persistent kidney dysfunction (eGFR reduction by 25% of baseline), or new dialysis requirement. This is a multinational retrospective cohort study. Invasively ventilated patients aged 0–25 years from January 2015 to December 2021 requiring CRRT for AKI or FA with ALI. There were no interventions. A total of 312 patients were included in the analysis. ALI was mild in 67 (21.5%), moderate in 142 (45.5%), and severe in 103 (33.0%). Fluid accumulation was ≤ 10% in 166 (53.2%), > 10–20% in 60 (19.2%), and > 20% in 86 (27.6%). The ICU mortality was 44.6% (139/312). In the multivariable analysis, neither ALI nor FA category was associated with mortality or MAKE90. Time to CRRT initiation (aOR 1.04, 95% CI 1.01–1.08) and illness severity (aOR 1.25, 95% CI 1.14–1.37) were associated with mortality.
Conclusions: In children and young adults with ALI receiving CRRT for AKI or FA, longer time to CRRT initiation and illness severity at CRRT initiation were associated with mortality. When accounting for multiple factors, neither ALI nor FA at CRRT initiation were associated with MAKE90 or mortality. Our findings warrant further exploration in a prospective cohort.
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What is Known: • Acute kidney injury (AKI) and acute lung injury (ALI) commonly coexist in critically ill children and are associated with increased morbidity and mortality through bidirectional organ crosstalk. • Fluid accumulation (FA) worsens both AKI and ALI, with higher degrees of FA associated with worse outcomes, with continuous renal replacement therapy (CRRT) frequently used to manage the consequences of AKI and FA. |
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What is New: • In this multicenter international cohort of children and young adults with ALI receiving CRRT, longer time to CRRT initiation and illness severity at CRRT initiation, but neither ALI nor FA at CRRT initiation were associated with mortality were associated with mortality. • These findings suggest that FA thresholds at the start of interventions may be less discriminatory in populations with dynamic processes such as severe multiple organ failure. |
Supplementary Information
The online version contains supplementary material available at 10.1007/s00431-026-07285-8.
Keywords: Continuous renal replacement therapy, Fluid accumulation, Acute respiratory failure
Introduction
Acute kidney injury (AKI) affects 1 in 4 critically ill children and can adversely impact lung function through multiple pathways, including alterations in acid–base balance and fluid accumulation (FA). Acute lung injury (ALI) is a common cause of mortality and morbidity in critical illness, and AKI with or without accompanying FA compounds pulmonary morbidity in children [1–7]. Organ crosstalk is bidirectional, and ALI can affect the kidney by disrupting cell signaling, introducing oxidative stress, and altering hemodynamics, all of which are exacerbated in mechanically ventilated patients [8–10]. It is not surprising that AKI is reported in 1 in 4 patients with Acute Respiratory Distress Syndrome (ARDS) [11–13]. Despite known associations and their common concurrence, specific recommendations regarding the simultaneous management of these pathologies are limited, and practice can vary in management approaches [14].
FA exacerbates ALI and AKI individually and synergistically, and thus international guidelines recommend preventing FA in patients with ALI [15–19]. Indeed, patients with ALI have improved outcomes when they maintain euvolemia [13, 16, 20 ]. Unfortunately, AKI greatly increases the risk for pathologic FA [16, 18, 19, 21, 22Continuous renal replacement therapy (CRRT) is often used to manage fluidbalance in patients with ALI, AKI, and harmful FA [23, 24, 25]. Data on the use of CRRT among patientswith ALI to restore euvolemia have been equivocal and potentially demonstrate that previous work doesnot capture modifiable variables that meaningfully impact patient outcomes [26, 27, 28, 29].
The aim of this study was to examine the association between ALI and FA with intensive care unit (ICU) mortality, invasive mechanical ventilation (IMV) and intensive care unit (ICU) free days, and major adverse kidney events at 90 days (MAKE90) in children and young adults with ALI who received CRRT. We hypothesized that increasing severity of both ALI and FA at CRRT initiation would be associated with worse outcomes.
Methods
Cohort
This was a secondary analysis of data collected for the Worldwide Exploration of Renal Replacement Outcomes Collaborative in Kidney Disease (WE-ROCK) study [30]. WE-ROCK is a retrospective multicenter international study of children and young adults, aged 0–25 years, who received CRRT for AKI or FA from 2015 to 2021. Patients were excluded if they had end-stage renal disease (ESRD), received concurrent extracorporeal membrane oxygenation, peritoneal dialysis before CRRT, or received CRRT for a different indication (for example, liver failure, ingestions and/or inborn errors of metabolism). Data were collected from 35 centers across 9 countries. Each center obtained institutional review board approval, and informed consent was waived due to the study’s retrospective nature. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines [31].
For this analysis, subjects were included if they had ALI, defined as receipt of IMV and impaired oxygenation at the time of CRRT initiation. Impaired oxygenation was defined by a PF ratio (ratio of the partial pressure of oxygen in arterial blood (PaO2) to the fraction of inspiratory oxygen concentration (FiO2)) of ≤ 300 at CRRT initiation [32]. ALI severity was defined using PF ratio stratification defined in the Berlin definition of ARDS. Accordingly, three ALI categories were defined based on the PF ratio (mild: 200–300, moderate: 100– < 200, severe: ≤ 100) [32]. Patients with cyanotic congenital heart disease, left-ventricular failure, chronic lung disease as a comorbid condition, and/or missing PF ratios were excluded. Although preferred, pediatric acute respiratory distress syndrome (pARDS) could not be identified in this population because (1) chest radiography to identify opacities and mean airway pressure data to calculate oxygenation index were not available and (2) the inability to define the onset of ALI within 7 days of an insult [14]. Baseline creatinine was defined as the lowest value in the preceding 3 months if available or back calculated using an estimated glomerular filtration rate of 100 ml/min/1.73m2 [33, 34]. Illness severity was quantified using the Pediatric Logistic Organ Dysfunction Score 2 (PELOD-2) in the 24 h before CRRT initiation as previously described [35].
Exposure and outcome variables
Percentage FA was calculated from ICU admission to CRRT initiation using the following equation [28, 36, 37]:
FA categories were stratified into ≤ 10%, > 10–20%, and > 20% based on previously reported literature [28, 36].
The primary exposure of interest was ALI severity at CRRT initiation. Race and ethnicity data were collected and reported as markers of potential socioenvironmental factors associated with differences in outcomes [38, 39]. The primary outcome was ICU mortality. Secondary outcomes included: 28-day IMV-free days, 28-day ICU-free days, and MAKE90, defined as death, persistent kidney dysfunction [eGFR reduction by 25% of baseline], or new dialysis requirement [40]. IMV-free and ICU-free days were 0 for patients who died before 28 days. MAKE90 free days were defined as the number of days without achieving any of the MAKE90 endpoints.
Statistical analysis
Continuous variables are presented as median with interquartile range (IQR), and categorical variables are reported as frequencies with percentages (%). Kruskal–Wallis rank sum tests and chi-square tests were used to test differences in continuous and categorical variables, respectively. Patients’ demographics, clinical characteristics, and outcomes were compared by FA at CRRT initiation (≤ 10%, > 10–20%, and > 20%) and ALI severity (mild, moderate, and severe). Multivariable logistic regression was performed to test the association of FA and PF ratio (as continuous variables) at CRRT initiation on death at ICU discharge and MAKE90 Free outcomes after adjusting for the following factors: race, PELOD2 pre-CRRT, time to CRRT initiation (days), and interaction of FA at CRRT initiation with PF ratio. For all patients included in the multi-variable regression, missing values were excluded from the analysis. Two-sided p-values < 0.05 were considered statistically significant. All statistical analyses were performed using R version 4.5.0 statistical software (R Core Team, 2025).
Results
Patient characteristics
The WE-ROCK dataset contains 1015 patients who received CRRT. 703 patients were excluded as they did not require invasive mechanical ventilation, did not have an oxygenation defect, had incomplete data, or were extreme outliers, leaving 312 patients eligible for inclusion (Fig. 1). The median age was 7.4 (1.4–14.9) years and 77% had at least one comorbidity. Mild ALI occurred in 67 (21.3%), moderate in 142 (45.5%), and severe in 103 (33.0%) patients (Table 1).
Fig. 1.

STROBE flow diagram
Table 1.
Demographics, clinical characteristics, and outcomes of patients with ALI stratified by ALI severity
| Characteristics | N | Overall N = 312 | Mild ALI 300 ≤ PF < 200 N = 67 | Moderate ALI 200 ≤ PF < 100 N = 142 | Severe ALI 100 ≤ PF N = 103 | p-value | |
|---|---|---|---|---|---|---|---|
| Age | 312 | 7.4 (1.4, 14.9) | 9.6 (1.9, 15.5) | 6.1 (1.5, 14.0) | 8.0 (1.2, 15.8) | 0.45 | |
| Sex | 312 | 0.65 | |||||
| Female | 134 (43%) | 32 (48%) | 60 (42%) | 42 (41%) | |||
| Male | 178 (57%) | 35 (52%) | 83 (58%) | 61 (59%) | |||
| Race | 274 | 0.02 | |||||
| Asian/Pacific Islander | 21 (8%) | 6 (10%) | 11 (9%) | 4 (4%) | |||
| Black | 41 (15%) | 10 (17%) | 12 (10%) | 19 (21%) | |||
| More than one race | 4 (2%) | 0 (0%) | 2 (2%) | 2 (2%) | |||
| Native Americans | 3 (1%) | 3 (5%) | 0 (0%) | 0 (0%) | |||
| White | 205 (75%) | 39 (67%) | 100 (80%) | 66 (73%) | |||
| Missing/unknown | 38 | 9 | 17 | 12 | |||
| Ethnicity | 275 | 0.08 | |||||
| Hispanic or Latino | 52 (19%) | 6 (10%) | 29 (23%) | 17 (19%) | |||
| Non-Hispanic or Latino | 223 (81%) | 56 (90%) | 96 (77%) | 71 (81%) | |||
| Missing/unknown | 37 | 5 | 17 | 15 | |||
| Admission category | 312 | < 0.001 | |||||
| CNS dysfunction | 11 (4%) | 6 (9%) | 2 (1%) | 3 (3%) | |||
| Other | 59 (19%) | 17 (25%) | 29 (20%) | 13 (13%) | |||
| Pain/sedation Management | 1 (0.3%) | 0 (0%) | 0 (0%) | 1 (1%) | |||
| Post-surgical/minor trauma | 14 (5%) | 3 (5%) | 9 (6%) | 2 (2%) | |||
| Respiratory failure | 81 (26%) | 4 (6.0%) | 34 (24%) | 43 (42%) | |||
| Shock/infection/major trauma | 146 (47%) | 37 (55%) | 68 (48%) | 41 (40%) | |||
| Sepsis | 312 | 184 (59%) | 42 (63%) | 81 (57%) | 61 (59%) | 0.74 | |
| Comorbidities | 312 | 0.61 | |||||
| Any | 241 (77%) | 51 (76%) | 107 (75%) | 83 (81%) | |||
| None | 71 (23%) | 16 (24%) | 35 (25%) | 20 (19%) | |||
| PaO2/Fio2 ratio | 312 | 134 (91, 200) | 246 (223, 273) | 148 (122, 180) | 69 (52, 90) | < 0.001 | |
| FA | 312 | 0.99 | |||||
| < 10% | 166 (53%) | 37 (55%) | 73 (51%) | 56 (54%) | |||
| > 10–20% | 60 (19%) | 15 (22%) | 27 (19%) | 18 (17%) | |||
| > 20% | 86 (28%) | 15 (22%) | 42 (30%) | 29 (28%) | |||
| PELOD-2 (Pre-CRRT) | 312 | 8 (6.0, 10.0) | 8.0 (5.0, 9.0) | 7.0 (5.0, 10.0) | 9.0 (7.0, 12.0) | < 0.001 | |
| Pre-CRRT VIS | 311 | 10 (0, 35) | 7 (0, 22) | 9.0 (0, 30) | 18 (0, 44) | 0.08 | |
| Days to CRRT Initiation | 275 | 2 (1, 6) | 2 (1, 4) | 3 (1, 7) | 2 (1, 7) | 0.10 | |
FA the percentage fluid balance as a continuous variable at the start of CRRT, CRRT continuous renal replacement therapy, PF Ratio PaO2 to FiO2 ratio as a continuous variable at the start of CRRT, PELOD-2 Pediatric Logistic Organ Dysfunction 2 Score as a continuous variable, VIS vasoactive inotropic score, CI confidence interval median (Q1, Q3); n (%); MAKE90, major adverse kidney events at 90 days after acute kidney injury diagnosis
Fluid accumulation at continuous renal replacement therapy initiation
At CRRT initiation, the FA was ≤ 10% in 166 (53.2%), > 10–20% in 60 (19.2%), and > 20% in 88 (28.2%) patients (Table 2). The distribution of patients between ALI severity and FA is demonstrated in Fig. 1. The ICU mortality was 44.6% (139/312). MAKE90 occurred in 66.3% (207/312) patients, with death in 47.1% (147/312), persistent kidney dysfunction in 15.4% (48/312), and dialysis dependence in 3.8% (12/312) patients, respectively.
Table 2.
Demographics, clinical characteristics, and outcomes of patients with ALI stratified by FA
| Characteristic | N | Overall N = 312 | FA ≤ 10% N = 166 | 10% < FA ≤ 20% N = 60 | FA > 20% N = 86 | p-value |
|---|---|---|---|---|---|---|
| Age | 312 | 7.4 (1.4, 14.9) | 12.0 (4.2, 16.1) | 5.4 (1.8, 13.0) | 2.4 (0.5, 8.0) | < 0.001 |
| Sex | 312 | 0.74 | ||||
| Female | 134 (43%) | 74 (45%) | 26 (43%) | 34 (40%) | ||
| Male | 178 (57%) | 92 (55%) | 34 (57%) | 52 (60%) | ||
| Race | 274 | 0.98 | ||||
| Asian/Pacific Islander | 21 (7.6%) | 13 (8.7%) | 3 (5.7%) | 5 (7.0%) | ||
| Black | 41 (15%) | 21 (14%) | 8 (15%) | 12 (17%) | ||
| More than one race | 4 (1.4%) | 2 (1.3%) | 1 (1.9%) | 1 (1.4%) | ||
| Native Americans | 3 (1.1%) | 3 (2.0%) | 0 (0%) | 0 (0%) | ||
| White | 205 (75%) | 111 (74%) | 41 (77%) | 53 (75%) | ||
| Missing/unknown | 38 | 16 | 7 | 15 | ||
| Ethnicity | 275 | 0.44 | ||||
| Hispanic or Latino | 52 (19%) | 32 (21%) | 7 (14%) | 13 (17%) | ||
| Non Hispanic or Latino | 223 (81%) | 117 (79%) | 44 (86%) | 62 (83%) | ||
| Missing/unknown | 37 | 17 | 9 | 11 | ||
| Admission category | 312 | 0.01 | ||||
| CNS dysfunction | 11 (3.5%) | 7 (4.2%) | 1 (1.7%) | 3 (3.5%) | ||
| Other | 59 (19%) | 40 (24%) | 7 (12%) | 12 (14%) | ||
| Pain/sedation management | 1 (0.3%) | 0 (0%) | 1 (1.7%) | 0 (0%) | ||
| Post-surgical/minor trauma | 14 (4.5%) | 5 (3.0%) | 4 (6.7%) | 5 (5.8%) | ||
| Respiratory failure | 81 (26%) | 50 (30%) | 9 (15%) | 22 (26%) | ||
| Shock/infection/major trauma | 146 (47%) | 64 (39%) | 38 (63%) | 44 (51%) | ||
| Sepsis | 312 | 0.004 | ||||
| No | 128 (41%) | 82 (49%) | 16 (27%) | 30 (34%) | ||
| Yes | 184 (59%) | 84 (51%) | 44 (73%) | 56 (65%) | ||
| Comorbidities | 312 | 0.42 | ||||
| Any | 242 (77%) | 133 (80%) | 45 (75%) | 63 (73%) | ||
| None | 71 (23%) | 33 (20%) | 15 (25%) | 23 (27%) | ||
| PaO2/Fio2 ratio | 312 | 134 (91, 200) | 127 (90, 200) | 158 (93, 201) | 137 (91, 183) | 0.45 |
| ALI severity | 312 | 0.45 | ||||
| Mild | 67 (21%) | 37 (22%) | 15 (25%) | 15 (17%) | ||
| Moderate | 142 (46%) | 73 (44%) | 27 (45%) | 42 (49%) | ||
| Severe | 103 (33%) | 56 (34%) | 18 (30%) | 29 (34%) | ||
| PELOD-2 (pre-CRRT) | 312 | 8 (6.0, 10.0) | 8.0 (6.0, 10.0) | 9.0 (7.0, 11.0) | 8.0 (6.0, 11.0) | 0.04 |
| Pre-CRRT VIS | 311 | 10 (0, 35) | 8 (0, 32) | 11 (3, 35) | 10 (0, 38) | 0.44 |
| Days to CRRT Initiation | 275 | 2 (1, 6) | 1 (0, 4) | 2 (1, 4) | 5 (3, 9) | < 0.001 |
FA the percentage fluid balance as a continuous variable at the start of CRRT, CRRT continuous renal replacement Therapy, PF Ratio PaO2 to FiO2 ratio as a continuous variable at the start of CRRT, PELOD-2 Pediatric Logistic Organ Dysfunction 2 Score as a continuous variable, VIS vasoactive inotropic score, CI confidence interval median (Q1, Q3), n (%), MAKE90 major adverse kidney events at 90 days after acute kidney injury diagnosis
Characteristics and outcomes stratified by acute lung injury severity
The most common admission category was shock/major infection (47%) (Table 1). Outcomes for patients stratified by ALI severity are described in Table 3. FA categories and time to CRRT initiation were not different between groups. PELOD-2 score was different across the three groups (8 [IQR 5, 9], 7 [IQR 5, 10], 9 [7, 12] p < 0.001 for mild, moderate, and severe ALI, respectively). ICU mortality increased across ALI groups, 34% in mild ALI, 40% in moderate ALI and 57% in severe ALI (p = 0.005). MAKE90 is described as a three-category variable, with patient assignment to only one outcome (mortality = 147/312, dialysis dependence = 48/312, persistent kidney dysfunction = 12/312). MAKE90 occurred in 74% of patients with severe ALI, but there was no difference between ALI severity groups (p = 0.14). Differences in these outcomes were primarily driven by mortality (p = 0.01). Patients with severe ALI had fewer ventilator and ICU-free days (p = 0.002 and p = 0.02, respectively). Patients stratified by ALI showed differences in ALI distribution by race (p = 0.02); black patients represented 21% of all patients in the severe ALI category but comprised only 15% of the entire cohort.
Table 3.
Clinical outcomes of patients with ALI stratified by ALI severity
| Characteristic | N | Overall N = 312 | Acute lung injury stratification | p-value | ||
|---|---|---|---|---|---|---|
| Mild ALI 200 < PF ≤ 300 N = 67 | Moderate ALI 100 < PF ≤ 200 N = 142 | Severe ALI PF ≤ 100 N = 103 | ||||
| CRRT duration | 312 | 7 (4, 15) | 8 (5, 16) | 6 (3, 14) | 7 (4, 15) | 0.27 |
| 28-day VFD | 312 | 0 (0, 22) | 12 (0, 28) | 9 (0, 23) | 0 (0, 16) | 0.002 |
| 28-day ICU free | 312 | 0.0 (0.0, 5.0) | 0.0 (0.0, 6.0) | 0.0 (0.0, 8.0) | 0.0 (0.0, 0.0) | 0.02 |
| ICU mortality | 312 | 139 (45%) | 23 (34%) | 57 (40%) | 59 (57%) | 0.005 |
| Hospital Mortality | 312 | 147 (47%) | 25 (37%) | 62 (44%) | 60 (58%) | 0.02 |
| MAKE-90 | 312 | 207 (66%) | 43 (64%) | 88 (62%) | 76 (74%) | 0.14 |
| Death at 90 days | 147 (47%) | 26 (39%) | 82 (58%) | 42 (41%) | 0.01 | |
| Kidney dysfunction | 48 (15%) | 12 (18%) | 23 (16%) | 13 (13%) | 0.61 | |
| Dialysis dependence | 12 (4%) | 5 (8%) | 5 (4%) | 2 (2%) | 0.23 | |
FA the percentage fluid balance as a continuous variable at the start of CRRT, CRRT continuous renal replacement therapy, PF Ratio PaO2 to FiO2 ratio as a continuous variable at the start of CRRT, PELOD-2 Pediatric Logistic Organ Dysfunction 2 Score as a continuous variable, VFD ventilator free days, CI confidence interval median (Q1, Q3), n (%) MAKE90, major adverse kidney events at 90 days after acute kidney injury diagnosis
Characteristics and outcomes stratified by fluid balance
Outcomes for patients stratified by FA are described in Supplemental Table 1. Patients with higher FA were younger (2.4 years [IQR 0.5, 8.0], p < 0.001) and more likely to have sepsis at the time of CRRT initiation (p = 0.004). Further, greater FA was associated with later initiation of CRRT (1 day [IQR 0, 4], 2 days [IQR 1, 4], 5 days [IQR 2, 10], p < 0.001 for ≤ 10%, > 10–20%, > 20%, respectively). ALI severity as measured by PF ratio was similar between fluid strata (Table 2).
There was no association between the FA categories and ICU mortality (48% vs 45% vs 38% for ≤ 10%, > 10–20%, and > 20%, respectively (p = 0.38)). There was no association between FA strata and IMV-free days, ICU-free days, or ICU mortality (p > 0.05). Finally, there were no associations between FA strata and MAKE90 or any of its components (p > 0.05).
Interaction of fluid accumulation and acute lung injury
To assess the interaction between FA and ALI severity on ICU mortality, we performed multivariable regression analysis including the PF ratio, FA, and an interaction term of PF ratio and FA as continuous variables (Supplemental Tables 2b and 3b). A priori, we evaluated interactions between PF ratio and FA, and between FA and time to CRRT. We present unadjusted sensitivity analyses without the interaction term in Supplemental Tables 2a and 3a. After adjusting for the interaction terms, race, PELOD-2 score, and time to CRRT initiation, neither interaction term demonstrated an association with mortality.
Longer time to CRRT initiation, as a continuous variable (aOR 1.04, 95% CI 1.01–1.08; p = 0.01), and PELOD-2 (aOR 1.25, 95% CI 1.14–1.35; p ≤ 0.001) were associated with increased odds of ICU mortality. Similarly, both shorter time to CRRT initiation (aOR 0.95, 95% CI 0.91–0.99; p = 0.015) and lower PELOD-2 (aOR 0.86, 95% CI 0.79–0.94; p < 0.001) were associated with lower odds of MAKE90 outcomes.
Discussion
In this secondary analysis of children and young adults receiving CRRT for AKI or FA with ALI on IMV, we found that time to CRRT initiation and higher PELOD-2 scores, neither ALI severity nor FA, were associated with ICU mortality or MAKE90 outcomes. These findings stand in contrast to previous studies of ALI severity and FA, which may be related to the degree and severity of multiple organ failure in our cohort, compared to those in prior landmark literature [5, 36]. Notably, more than 50% of the cohort had %FA < 10% at CRRT initiation across all ALI groups, which contrasts with previously published literature [36].
We demonstrated that ALI severity was associated with ICU mortality on univariate analysis; however, we did not find an association between the degree of oxygenation defect and mortality or MAKE90 after accounting for confounding factors, including FA, race, illness severity, and time to CRRT initiation. Two important reasons are possible. First, the causes of the oxygenation defect were not reported. We could not identify if the driver of the oxygenation defect was related to primary parenchymal disease, secondary parenchymal injury, or interstitial pulmonary edema from the pathologic impact of FA that was present at CRRT initiation. Evidence suggests that the underlying cause of ALI likely has different impacts on mortality [5]. Further, it is plausible that each of these etiologies would respond differently to CRRT and thereby drive unmeasured confounding and bias the overall population towards the null [7, 41]. Second, we found that ICU mortality in this population was measurably higher than in previous analyses. Here, we found that children and young adults with ALI requiring CRRT for AKI or FA had a mortality of 47%. Previous studies, including landmark worldwide epidemiological studies of pARDS, report an overall mortality of 17% [5]. Additional work by Zinter et al. reported a mortality of 29% in a cohort of patients with pARDS and positive fluid balance [13]. Our findings suggest that in a population with severe multiple organ failure, requiring CRRT, the static threshold of fluid accumulation may be less discriminatory for outcomes, which may explain this difference compared to historic studies. Our group exclusively includes patients with multiple organ failures who had an oxygenation defect and AKI or FA requiring at least IMV and CRRT for management. Presence of multiple organ failure as a driver of mortality in a population with pARDS has previously been described by Dowell et al., who demonstrated that the underlying multiple organ failure and not the severity of ALI was the driver of mortality in a pARDS population [42]. Importantly, given the nature of data collection for our analysis, we are unable to specifically comment on the etiologies of pulmonary failure and how they may modify the relationship between AKI and CRRT [41]***. Further studies investigating the causes of ALI at CRRT initiation, in particular differentiating patients exclusively with pulmonary edema requiring fluid removal and those with parenchymal diseases with or without pulmonary edema, may help understand this population and the potential therapeutic benefits of fluid removal.
Similarly, we did not find an association with ICU mortality or MAKE90 with the degree of FA. Multiple previous studies have demonstrated an association with positive fluid balance and mortality in many critically ill pediatric populations, including those requiring CRRT [6, 17, 28, 36, 43, 44]. In a multicenter study of patients receiving CRRT, Sutherland et al. demonstrated that a FA greater than 20% was associated with increased mortality [36]. Three major factors may explain this contrast. First, the presence of multiple organ failure itself may blunt the direct impact of fluid balance severity. In Sutherland’s cohort (despite similar fluid balance), mortality was substantially higher in the presence of multiple organ failure compared to those without (OR 4.66 vs 1.03, respectively). Secondly, we cannot account for differences in practice occurring over time. Indeed, practice changes over time may be the driver of lower %FA across the entire cohort, thus diluting the association of FA with outcomes in the larger cohort. Within the larger WE-ROCK study population, CRRT was initiated at a median FA of 7.4%, well below previously identified thresholds. Within the WE-ROCK cohort, each day of delay of CRRT initiation was associated with increased odds of mortality [47]. Given the similarity in outcomes in our population with regard to timing of CRRT initiation, it is possible that the benefit of CRRT is more complex than restoring an appropriate fluid status [41, 42]. The ideas surrounding timing and prescription of fluid removal by CRRT within a patient’s course have been identified as areas for further investigation, as they likely impact patient outcomes [37, 45, 46]. Further identification of patients who would benefit from more nuanced approaches to fluid balance management, as well as understanding fluid balance trajectories during illness and the multifactorial impact of CRRT therapy, may improve understanding of the impact of FA and renal function on patient outcomes.
We showed that after accounting for multiple factors, only shorter time to CRRT initiation and lower PELOD-2 score were associated with reduced odds of MAKE90. In contrast to previous work, our data suggests that FA is not associated with differences in mortality nor MAKE90. These findings reinforce that global illness severity and multiple organ failure may improve prediction of mortality compared to isolated, organ-specific markers of illness. The association with higher PELOD-2 score and worse outcomes is consistent with multiple other studies which have demonstrated that patients with more severe illness and multiple organ failure have worse outcomes than those with less severe illness and single organ failure [47–49]. In particular, the known association between AKI and ALI, and their combined effects on outcomes, is well described [41]. Among the mechanically ventilated population, the neurohormonal activation, hemodynamic alterations, and cellular signaling changes can promote and exacerbate AKI and FA [41, 50]. While positive, our results stand in contrast to previous interventional trials and should be interpreted cautiously [51]. Especially in younger populations, delayed time to CRRT may mediate a relationship between ongoing complex multiple organ failure rather than suggest a protective impact against the harmful effects of ALI and FA [52]. Thusly, the impact of CRRT upon mediation of harmful cellular signaling and neurohormonal remains an area for future research [41].
The strength of this study lies in its large sample size and multicenter nature, increasing the generalizability of our findings. However, we do recognize that there are several limitations. Importantly, for continuous variables such as PF ratio and fluid balance, only single measurements at the time of CRRT initiation exist within the available data. We recognize that both of these variables may represent dynamic changes in lung and renal injury, and as such, we fail to capture potentially important data when considering the implications of our analysis. Further, patient data was captured only at the site of CRRT utilization. Therefore, there were incomplete data surrounding baseline weights and FA. As defined, our cohort includes only patients who received CRRT without a control group and cannot make causal claims. We also recognize the variable practice patterns of individual centers and providers that influence fluid accumulation, and these were not captured. Accordingly, the complete fluid status and response to it by clinicians cannot be fully quantified and may have inappropriately over-influenced non-significant effect of FA on outcomes. Given the nature of how data were collected and reported, we do not report exposures as they relate to CRRT prescription, including the lack of information regarding net ultrafiltration. This variable likely represents a modifiable variable that modifies the impact of fluid accumulation. Given its exclusion, we cannot report the impact of different CRRT prescriptions on patient outcomes. Lastly, we have applied a generalized definition of ALI to our cohort. We recognize that ALI and oxygenation defects are not monolithic in nature and may respond variably to fluid accumulation. Further, we do not report an IMV group without ALI to represent potential differences in response to therapy for patients without an oxygenation defect.
Conclusions
In this analysis of a large multi-center cohort of children and young adults with ALI who required CRRT for either AKI or fluid accumulation, neither ALI nor FA severity were associated with mortality nor MAKE90 as outcomes. Longer time to CRRT initiation and higher illness severity scores were associated with mortality and MAKE90. In this cohort, the degree of FA is lower than in previous reports, suggesting an impact in changing epidemiology and evolving clinical practice. While limited in our ability to causally describe the impact of CRRT and specific variables on outcomes, we highlight differences from historic data and emphasize that commonly used static measures of fluid accumulation may be insufficient in identifying patients at greatest risk of adverse outcomes. Identifying risk factors and appropriate therapeutic targets and modalities targets to improve salient outcomes may require more refined phenotyping of patients with ALI.
Supplementary Information
Below is the link to the electronic supplementary material.
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Authors’ contributions
ZAR and SMG wrote the main manuscript text and prepared Fig. 1. ZAR, AS, and SMG developed the concept. JS and TJ provided statistical support. All authors reviewed the manuscript.
Funding
None.
Data availability
Data are housed as Cincinnati Children’s Hospital and Medical Center and are available upon request.
Declarations
Ethics approval
This study was performed in line with the principles of the Declaration of Helsinki. The institutional review board at Cincinnati Children’s Hospital Medical Center approved this collaborative study, and each center received approval from their institutional review board or human research ethics committee with a waiver of informed consent due to the retrospective nature of the study.
Competing interests
The authors declare no competing interests.
Artificial intelligence
No artificial intelligence was used during this reporting process, including manuscript preparation and submission.
Footnotes
Publisher's Note
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References
- 1.Alobaidi R, Morgan C, Goldstein SL, Bagshaw SM (2020) Population-based epidemiology and outcomes of acute kidney injury in critically ill children. Pediatr Crit Care Med 21:82–91. 10.1097/pcc.0000000000002128 [DOI] [PubMed] [Google Scholar]
- 2.Kaddourah A, Basu RK, Bagshaw SM, Goldstein SL (2017) Epidemiology of acute kidney injury in critically ill children and young adults. N Engl J Med 376:11–20. 10.1056/nejmoa1611391 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sutherland SM, Ji J, Sheikhi FH et al (2013) AKI in hospitalized children: epidemiology and clinical associations in a national cohort. Clin J Am Soc Nephrol 8:1661–1669. 10.2215/cjn.00270113 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Sutherland SM, Byrnes JJ, Kothari M et al (2015) AKI in hospitalized children: comparing the pRIFLE, AKIN, and KDIGO definitions. Clin J Am Soc Nephrol 10:554–561. 10.2215/cjn.01900214 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Khemani RG, Smith L, Lopez-Fernandez YM et al (2018) Paediatric acute respiratory distress syndrome incidence and epidemiology (PARDIE): an international, observational study. Lancet Respir Med 7:115–128. 10.1016/s2213-2600(18)30344-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Alobaidi R, Morgan C, Basu RK et al (2018) Association between fluid balance and outcomes in critically ill children: a systematic review and meta-analysis. JAMA Pediatr 172:257. 10.1001/jamapediatrics.2017.4540 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Starr MC, Gorga S, Gist KM (2025) Interconnected organs: exploring the impact of kidney–lung crosstalk in critically ill neonates and children. Compr Physiol 15:e70084. 10.1002/cph4.70084 [DOI] [PubMed] [Google Scholar]
- 8.Pickkers P, Darmon M, Hoste E et al (2021) Acute kidney injury in the critically ill: an updated review on pathophysiology and management. Intensive Care Med 47:835–850. 10.1007/s00134-021-06454-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Husain-Syed F, Slutsky AS, Ronco C (2016) Lung–kidney cross-talk in the critically ill patient. Am J Respir Crit Care Med 194:402–414. 10.1164/rccm.201602-0420cp [DOI] [PubMed] [Google Scholar]
- 10.Faubel S, Edelstein CL (2016) Mechanisms and mediators of lung injury after acute kidney injury. Nat Rev Nephrol 12:48–60. 10.1038/nrneph.2015.158 [DOI] [PubMed] [Google Scholar]
- 11.Gorga SM, Carlton EF, Kohne JG et al (2021) Consensus acute kidney injury criteria integration identifies children at risk for long-term kidney dysfunction after multiple organ dysfunction syndrome. Pediatr Nephrol 1–10. 10.1007/s00467-020-04865-0 [DOI] [PMC free article] [PubMed]
- 12.Sanchez-Pinto LN, Bembea MM, Farris RW et al (2022) Patterns of organ dysfunction in critically ill children based on PODIUM criteria. Pediatrics 149:S103–S110. 10.1542/peds.2021-052888p [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Zinter MS, Spicer AC, Liu KD et al (2019) Positive cumulative fluid balance is associated with mortality in pediatric acute respiratory distress syndrome in the setting of acute kidney injury. Pediatr Crit Care Me Publish Ahead of Print:NA. 10.1097/pcc.0000000000001845 [DOI] [PMC free article] [PubMed]
- 14.Emeriaud G, López-Fernández YM, Iyer NP et al (2023) Executive summary of the second international guidelines for the diagnosis and management of pediatric acute respiratory distress syndrome (PALICC-2). Pediatr Crit Care Med 24:143–168. 10.1097/pcc.0000000000003147 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Gist KM, Selewski DT, Brinton J et al (2019) Assessment of the independent and synergistic effects of fluid overload and acute kidney injury on outcomes of critically ill children. Pediatr Crit Care Med. 10.1097/pcc.0000000000002107 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Valentine SL, Sapru A, Higgerson RA et al (2012) Fluid balance in critically ill children with acute lung injury. Crit Care Med 40:2883–2889. 10.1097/ccm.0b013e31825bc54d [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Flori HR, Church G, Liu KD et al (2011) Positive fluid balance is associated with higher mortality and prolonged mechanical ventilation in pediatric patients with acute lung injury. Critical Care Res Pract 2011:854142. 10.1155/2011/854142 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Arikan AA, Zappitelli M, Goldstein SL et al (2012) Fluid overload is associated with impaired oxygenation and morbidity in critically ill children. Pediatr Crit Care Med 13:253–258. 10.1097/pcc.0b013e31822882a3 [DOI] [PubMed] [Google Scholar]
- 19.Dixon CG, Thadani S, Fitzgerald JC et al (2023) Fluid overload precedes and masks cryptic kidney injury in pediatric acute respiratory distress syndrome. Crit Care Med. 10.1097/ccm.0000000000005836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Network NH Lung, and Blood Institute Acute Respiratory Distress Syndrome (ARDS) Clinical Trials, Wiedemann HP, Wheeler AP et al (2006) Comparison of two fluid-management strategies in acute lung injury. New Engl J Medicine 354:2564–2575. 10.1056/nejmoa062200 [DOI] [PubMed]
- 21.Leow EH, Wong JJ-M, Mok YH et al (2022) Fluid overload in children with pediatric acute respiratory distress syndrome: a retrospective cohort study. Pediatr Pulmonol 57:300–307. 10.1002/ppul.25720 [DOI] [PubMed] [Google Scholar]
- 22.Willson DF, Thomas NJ, Tamburro R et al (2013) The relationship of fluid administration to outcome in the pediatric calfactant in acute respiratory distress syndrome trial. Pediatr Crit Care Me 14:666–672. 10.1097/pcc.0b013e3182917cb5 [DOI] [PubMed] [Google Scholar]
- 23.Valentine SL, Nadkarni VM, Curley MAQ, Group PALICC (2015) Nonpulmonary treatments for pediatric acute respiratory distress syndrome. Pediatr Crit Care Med 16:S73–S85. 10.1097/pcc.0000000000000435 [DOI] [PubMed]
- 24.Symons JM, Chua AN, Somers MJG et al (2007) Demographic characteristics of pediatric continuous renal replacement therapy: a report of the prospective pediatric continuous renal replacement therapy registry. Clin J Am Soc Nephrol 2:732–738. 10.2215/cjn.03200906 [DOI] [PubMed] [Google Scholar]
- 25.Starr MC, Gist KM, Zang H et al (2024) Continuous kidney replacement therapy and survival in children and young adults: findings from the multi-national we-rock collaborative. Am J Kidney Dis. 10.1053/j.ajkd.2023.12.017 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Miao H, Shi J, Wang C et al (2019) Continuous renal replacement therapy in pediatric severe sepsis. Crit Care Med 47:e806–e813. 10.1097/ccm.0000000000003901 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Bouchard J, Soroko SB, Chertow GM et al (2009) Fluid accumulation, survival and recovery of kidney function in critically ill patients with acute kidney injury. Kidney Int 76:422–427. 10.1038/ki.2009.159 [DOI] [PubMed] [Google Scholar]
- 28.Goldstein SL, Currier H, Graf JM et al (2001) Outcome in children receiving continuous venovenous hemofiltration. Pediatrics 107:1309–1312. 10.1542/peds.107.6.1309 [DOI] [PubMed] [Google Scholar]
- 29.Goldstein SL, Somers MJG, Baum MA et al (2005) Pediatric patients with multi-organ dysfunction syndrome receiving continuous renal replacement therapy. Kidney Int 67:653–658. 10.1111/j.1523-1755.2005.67121.x [DOI] [PubMed] [Google Scholar]
- 30.Menon S, Krallman KA, Arikan AA et al (2023) Worldwide exploration of renal replacement outcomes collaborative in kidney disease (WE-ROCK). Kidney Int Rep 8:1542–1552. 10.1016/j.ekir.2023.05.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ghaferi AA, Schwartz TA, Pawlik TM (2021) STROBE reporting guidelines for observational studies. JAMA Surg 156:577–578. 10.1001/jamasurg.2021.0528 [DOI] [PubMed] [Google Scholar]
- 32.Force ADT (2012) Acute respiratory distress syndrome: the Berlin definition. JAMA 307:2526–2533. 10.1001/jama.2012.5669 [DOI] [PubMed] [Google Scholar]
- 33.Zappitelli M, Parikh CR, Akcan-Arikan A et al (2008) Ascertainment and epidemiology of acute kidney injury varies with definition interpretation. Clin J Am Soc Nephrol 3:948–954. 10.2215/cjn.05431207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Schwartz GJ, Muñoz A, Schneider MF et al (2009) New equations to estimate GFR in children with CKD. J Am Soc Nephrol 20:629–637. 10.1681/asn.2008030287 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Leteurtre S, Duhamel A, Salleron J et al (2013) PELOD-2. Crit Care Med 41:1761–1773. 10.1097/ccm.0b013e31828a2bbd [DOI] [PubMed]
- 36.Sutherland SM, Zappitelli M, Alexander SR et al (2010) Fluid overload and mortality in children receiving continuous renal replacement therapy: the prospective pediatric continuous renal replacement therapy registry. Am J Kidney Dis 55:316–325. 10.1053/j.ajkd.2009.10.048 [DOI] [PubMed] [Google Scholar]
- 37.Selewski DT, Barhight MF, Bjornstad EC et al (2024) Fluid assessment, fluid balance, and fluid overload in sick children: a report from the Pediatric Acute Disease Quality Initiative (ADQI) conference. Pediatr Nephrol 39:955–979. 10.1007/s00467-023-06156-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Slain KN, Hall M, Akande M et al (2024) Race, ethnicity, and intensive care utilization for common pediatric diagnoses: U.S. Pediatric Health Information System 2019 database study. Pediatr Crit Care Med 25:828–837. 10.1097/pcc.0000000000003487 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Natale JE, Asaro LA, Joseph JG et al (2021) Association of race and ethnicity with sedation management in pediatric intensive care. Ann Am Thorac Soc 18:93–102. 10.1513/annalsats.201912-872oc [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Iv FTB, Shaw AD (2014) Clinical trial endpoints in acute kidney injury. Nephron Clin Pract 127:89–93. 10.1159/000363725 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Joannidis M, Forni LG, Klein SJ et al (2020) Lung–kidney interactions in critically ill patients: consensus report of the Acute Disease Quality Initiative (ADQI) 21 Workgroup. Intensive Care Med 46:654–672. 10.1007/s00134-019-05869-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Dowell JC, Parvathaneni K, Thomas NJ et al (2018) Epidemiology of cause of death in pediatric acute respiratory distress syndrome. Crit Care Med 46:1811–1819. 10.1097/ccm.0000000000003371 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Selewski DT, Gist KM, Basu RK et al (2023) Impact of the magnitude and timing of fluid overload on outcomes in critically ill children: a report from the Multicenter International Assessment of Worldwide Acute Kidney Injury, Renal Angina, and Epidemiology (AWARE) study. Crit Care Med. 10.1097/ccm.0000000000005791 [DOI] [PubMed] [Google Scholar]
- 44.Alobaidi R, Basu RK, DeCaen A et al (2020) Fluid accumulation in critically ill children. Crit Care Med 48:1034–1041. 10.1097/ccm.0000000000004376 [DOI] [PubMed] [Google Scholar]
- 45.Barhight MF, Sanchez-Pinto LN, Basu RK (2022) Fluid overload mechanically ventilated days: a novel fluid exposure measure in critically ill children with acute respiratory failure. Crit Care Explor 4:e0792. 10.1097/cce.0000000000000792 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Akcan-Arikan A, Gebhard DJ, Arnold MA et al (2017) Fluid overload and kidney injury score. Pediatr Crit Care Med 18:524–530. 10.1097/pcc.0000000000001123 [DOI] [PubMed] [Google Scholar]
- 47.Watson RS, Crow SS, Hartman ME et al (2017) Epidemiology and outcomes of pediatric multiple organ dysfunction syndrome. Pediatr Crit Care Med 18:S4–S16. 10.1097/pcc.0000000000001047 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Lin JC, Spinella PC, Fitzgerald JC et al (2017) New or progressive multiple organ dysfunction syndrome in pediatric severe sepsis. Pediatr Crit Care Med 18:8–16. 10.1097/pcc.0000000000000978 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Typpo KV, Lacroix JR (2017) Monitoring severity of multiple organ dysfunction syndrome: new and progressive multiple organ dysfunction syndrome, scoring systems. Pediatr Crit Care Med 18:S17–S23. 10.1097/pcc.0000000000001049 [DOI] [PubMed] [Google Scholar]
- 50.Dolinay T, Kim YS, Howrylak J et al (2012) Inflammasome-regulated cytokines are critical mediators of acute lung injury. Am J Respir Crit Care Med 185:1225–1234. 10.1164/rccm.201201-0003oc [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Investigators TS-A (2020) Timing of initiation of renal-replacement therapy in acute kidney injury. New Engl J Med 383:240–251. 10.1056/nejmoa2000741 [DOI] [PubMed] [Google Scholar]
- 52.Gist KM, Menon S, Anton-Martin P et al (2024) Time to continuous renal replacement therapy initiation and 90-day major adverse kidney events in children and young adults. JAMA Netw Open 7:e2349871. 10.1001/jamanetworkopen.2023.49871 [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
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Data Availability Statement
Data are housed as Cincinnati Children’s Hospital and Medical Center and are available upon request.
