OBJECTIVE: To examine associations between mean daily fluid balance during intensive care unit study enrollment and clinical outcomes in patients enrolled in the Randomized Evaluation of Normal vs. Augmented Level (RENAL) replacement therapy study. DESIGN: Statistical analysis of data from multicenter, randomized, controlled trials. SETTING:Thirty-five intensive care units in Australia and New Zealand. PATIENTS: Cohort of 1453 patients enrolled in the RENAL study. INTERVENTIONS: We analyzed the association between daily fluid balance on clinical outcomes using multivariable logistic regression, Cox proportional hazards, time-dependent analysis, and repeated measure analysis models. MEASUREMENTS AND MAIN RESULTS: During intensive care unit stay, mean daily fluid balance among survivors was -234 mL/day compared with +560 mL/day among nonsurvivors (p < .0001). Mean cumulative fluid balance over the same period was -1941 vs. +1755 mL (p = .0003). A negative mean daily fluid balance during study treatment was independently associated with a decreased risk of death at 90 days (odds ratio 0.318; 95% confidence interval 0.24-0.43; p < .000.1) and with increased survival time (p < .0001). In addition, a negative mean daily fluid balance was associated with significantly increased renal replacement-free days (p = .0017), intensive care unit-free days (p < .0001), and hospital-free days (p = .01). These findings were unaltered after the application of different statistical models. CONCLUSIONS: In the RENAL study, a negative mean daily fluid balance was consistently associated with improved clinical outcomes. Fluid balance may be a target for specific manipulation in future interventional trials of critically ill patients receiving renal replacement therapy.
RCT Entities:
OBJECTIVE: To examine associations between mean daily fluid balance during intensive care unit study enrollment and clinical outcomes in patients enrolled in the Randomized Evaluation of Normal vs. Augmented Level (RENAL) replacement therapy study. DESIGN: Statistical analysis of data from multicenter, randomized, controlled trials. SETTING: Thirty-five intensive care units in Australia and New Zealand. PATIENTS: Cohort of 1453 patients enrolled in the RENAL study. INTERVENTIONS: We analyzed the association between daily fluid balance on clinical outcomes using multivariable logistic regression, Cox proportional hazards, time-dependent analysis, and repeated measure analysis models. MEASUREMENTS AND MAIN RESULTS: During intensive care unit stay, mean daily fluid balance among survivors was -234 mL/day compared with +560 mL/day among nonsurvivors (p < .0001). Mean cumulative fluid balance over the same period was -1941 vs. +1755 mL (p = .0003). A negative mean daily fluid balance during study treatment was independently associated with a decreased risk of death at 90 days (odds ratio 0.318; 95% confidence interval 0.24-0.43; p < .000.1) and with increased survival time (p < .0001). In addition, a negative mean daily fluid balance was associated with significantly increased renal replacement-free days (p = .0017), intensive care unit-free days (p < .0001), and hospital-free days (p = .01). These findings were unaltered after the application of different statistical models. CONCLUSIONS: In the RENAL study, a negative mean daily fluid balance was consistently associated with improved clinical outcomes. Fluid balance may be a target for specific manipulation in future interventional trials of critically illpatients receiving renal replacement therapy.
Authors: Bruno Adler Maccagnan Pinheiro Besen; André Luiz Nunes Gobatto; Lívia Maria Garcia Melro; Alexandre Toledo Maciel; Marcelo Park Journal: World J Crit Care Med Date: 2015-05-04
Authors: Johan Mårtensson; Shailesh Bihari; Jonathan Bannard-Smith; Neil J Glassford; Patryck Lloyd-Donald; Luca Cioccari; Nora Luethi; Aiko Tanaka; Marco Crisman; Nicolas Rey de Castro; Marcus Ottochian; Agnes Huang; Maria Cronhjort; Andrew D Bersten; Shivesh Prakash; Michael Bailey; Glenn M Eastwood; Rinaldo Bellomo Journal: Intensive Care Med Date: 2018-10-21 Impact factor: 17.440
Authors: Vikram Balakumar; Raghavan Murugan; Florentina E Sileanu; Paul Palevsky; Gilles Clermont; John A Kellum Journal: Crit Care Med Date: 2017-08 Impact factor: 7.598