Skip to main content
. Author manuscript; available in PMC: 2024 Jun 11.
Published in final edited form as: Intensive Care Med. 2024 Mar 4;50(6):861–872. doi: 10.1007/s00134-024-07336-4

Table 3.

Multivariable regression model predicting successful CRRT liberation (n = 601).

Significant Predictor Variables Reference Contrast OR (95%CI)
Primary Comorbidities: Renal/Urologic No Yes 0.38 (0.20-0.75)
Vasopressor-Inotrope Score at CRRT1 Initiation 0.0 20.0 1.35 (1.12-1.63)
Vasopressor-Inotrope Score at Liberation Attempt 0.0 3.6 0.99 (0.98-0.999)
PELOD-22 Score at CRRT Initiation 4.0 9.0 1.71 (1.24 - 2.35)
Urine output (24h prior to CRRT Initiation) (ml/kg/h) 0.1 1.2 1.15 (1.001-1.32)
CRRT duration (days) 3.0 14.0 0.19 (0.12-0.28)

Odds ratio (OR) and 95% confidence intervals (CI) obtained by logistic regression. The model accounts for the nesting of patients within hospitals via the Huber-While cluster sandwich estimator of variance. ORs for continuous predictors scaled to reflect the interquartile range odds ratio (i.e., reference = 25th percentile, contrast = 75th percentile). Other variables adjusted for include the following: weight, presence of no comorbidities, cardiac comorbidity, oncologic comorbidity, immunologic comorbidity, sepsis at ICU3 admission, PELOD-2 score at crrt liberation attempt, % fluid balance (ICU admit to CRRT initiation), calculated CRRT dose, time from ICU admission to CRRT initiation. 21 (3.4%) out of 622 patients were not included in the analysis due to missing covariate data.

1

CRRT: Continuous Renal Replacement Therapy

2

PELOD-2: Pediatric logistic organ dysfunction score

3

ICU: Intensive Care Unit