Role of Albumin-corrected Anion Gap and Lactate Clearance in Predicting Mortality in Pediatric Intensive Care Patients

Background: Identifying mortality risk in critically ill children is central to diagnostic and treatment practices. For this purpose, scoring systems, such as the Pediatric Index of Mortality 3 (PIM 3), have been proposed; however, the role of biochemical markers, such as albumin -corrected anion gap (cAG) and lactate clearance (LC), in predicting mortality in pediatric intensive care unit (PICU) patients is yet to be explored.Aims: To evaluate the predictive value of the cAG and LC for mortality in pediatric patients admitted to a PICU.Study Design: Retrospective single-center cohort study.Methods: Clinical and laboratory data from the time of PICU admission were collected, and patients were classified into based on their 0-and 6-hour of admission lactate levels into an LC(+) group (patients with normal or decreasing lactate levels) or an LC(-) group (increasing lactate levels). LC and cAG levels were compared using the Mann-Whitney U test and Student's t-test, respectively. Additionally, multiple logistic regression analysis was performed to evaluate the effect of LC and cAG on mortality.Results: We included 825 patients in the study; the mortality rate was 8.6%. The absence of LC [adjusted odds ratio (AOR) =4.735; 95% confidence interval (CI): 2.163-10.367; p < 0.001], cAG (AOR =1.064; 95% CI: 1.010-1.122; p = 0.019) and PIM 3 (AOR = 1.871; 95% CI: 1.553-2.254; p < 0.001) were independent risk factors for mortality. Using the receiver operating characteristic curve analysis of PIM 3 as a predictor of mortality, area under the curve values of 0.832 (95% CI: 0.805-0.857; p < 0.001) for the original score and 0.858 for a revised PIM 3 score (based on the beta coefficients obtained for cAG and LC; 95% CI 0.832-0.881; p < 0.001) were obtained, which was significantly different (p = 0.027).Conclusion: A cAG value > 18 at the time of PICU admission high lactate levels which do not decrease within 6 hours of hospitalization are associated with an increased risk of mortality. The revised PIM 3 score, which includes cAG and LC, is a better predictor of mortality than the classical PIM 3 score.