Performance of Tools and Measures to Predict Fluid Responsiveness in Pediatric Shock and Critical Illness: A Systematic Review and Meta-Analysis.

OBJECTIVES: In this systematic review and meta-analysis we asked: Do predictors of fluid responsiveness in children perform comparably: 1) in the PICU as in non-PICU settings? 2) in shock states compared with nonshock states? Additionally, 3) is there an association between preload responsiveness and clinical response? DATA SOURCES: Ovid Medline, PubMed, and Embase databases were searched from inception through May 2022. STUDY SELECTION: Included studies reported physiological response to IV fluid administration in humans less than 18 years. Only studies reporting an area under the receiver operating characteristic curve (AUROC) were included for descriptive analysis. Only studies for which a se could be estimated were included for meta-analysis. DATA EXTRACTION: Title, abstract, full text screening, and extraction were completed by two authors (S.B.W., J.M.W.). Variables extracted included predictors ("tools") and outcome measures ("reference tests") of fluid responsiveness, demographic, and clinical variables. DATA SYNTHESIS: We identified 62 articles containing 204 AUROCs for 55 tools, primarily describing mechanically ventilated children in an operating room or PICU. Meta-analysis across all tools showed poor predictive performance (AUROC, 0.66; 95% CI, 0.63-0.69), although individual performance varied greatly (range, 0.49-0.87). After controlling for PICU setting and shock state, PICU setting was associated with decreased predictive performance (coefficient, -0.56; p = 0.0007), while shock state was associated with increased performance (0.54; p = 0.0006). Effect of PICU setting and shock state on each tool was not statistically significant but analysis was limited by sample size. The association between preload responsiveness and clinical response was rarely studied but results did not suggest an association. Ultrasound measurements were prone to inherent test review and incorporation biases. CONCLUSIONS: We suggest three opportunities for further research in fluid responsiveness in children: 1) assessing predictive performance of tools during resuscitation in shock states; 2) separating predictive tool from reference test when using ultrasound techniques; and 3) targeting decreasing time in a shock state, rather than just increase in preload.

Fluid balance in pediatric postoperative liver transplant recipients.

BACKGROUND: Positive fluid balance (FB) is associated with poor outcomes in critically ill children but has not been studied in pediatric liver transplant (LT) recipients. Our goal is to investigate the relationship between postoperative FB and outcomes in pediatric LT recipients. METHODS: We performed a retrospective cohort study of first-time pediatric LT recipients at a quaternary care children's hospital. Patients were stratified into three groups based on their FB in the first 72 h postoperatively: <10%, 10-20%, and > 20%. Outcomes were pediatric intensive care unit (PICU) and hospital length of stay, ventilator-free days (VFD) at 28 days, day 3 severe acute kidney injury, and postoperative complications. Multivariate analyses were adjusted for age, preoperative admission status, and Pediatric Risk of Mortality (PRISM)-III score. RESULTS: We included 129 patients with median PRISM-III score of 9 (interquartile range, IQR 7-15) and calculated Pediatric End-stage Liver Disease score of 15 (IQR 2-23). A total of 37 patients (28.7%) had 10-20% FB, and 26 (20.2%) had >20% FB. Greater than 20% FB was associated with an increased likelihood of an additional PICU day (adjusted incident rate ratio [aIRR] 1.62, 95% CI: 1.18-2.24), an additional hospital day (aIRR 1.39, 95% CI: 1.10-1.77), and lower likelihood of a VFD at 28 days (aIRR 0.85, 95% CI: 0.74-0.97). There were no differences between groups in the likelihood of postoperative complications. CONCLUSIONS: In pediatric LT recipients, >20% FB at 72 h postoperatively is associated with increased morbidities, independent of age and severity of illness. Additional studies are needed to explore the impact of fluid management strategies on outcomes.