AUTHOR=Diab Razan , Bou Chebl Ralphe , Barmo Nour , Siblini Reem , Makki Maha , Tamim Hani , Abou Dagher Gilbert 

TITLE=Prognostic utility of procalcitonin and lactate clearance for in-hospital mortality in sepsis

JOURNAL=Frontiers in Medicine

VOLUME=Volume 12 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1679297

DOI=10.3389/fmed.2025.1679297

ISSN=2296-858X

ABSTRACT=BackgroundSepsis remains a significant global health burden and a leading cause of in-hospital mortality. Recent research has focused on the prognostic value of biomarker kinetics, particularly clearance rates and inflammatory markers such as neutrophil-to-lymphocyte (NLR) ratio. This study aimed to compare the utility of procalcitonin and lactate clearance in predicting in-hospital mortality among septic patients and to identify an optimal procalcitonin clearance (PCTc) cut-off to differentiate survivors from non-survivors.MethodsThis was a retrospective cohort study of adult patients who presented with sepsis or septic shock to a tertiary care ED in Lebanon between November 2018 and March 2024. Procalcitonin and lactate readings were recorded along with demographics, comorbidities and therapeutic interventions. PCTc and lactate clearance were calculated as percentage change between the first and second readings, and lactate clearance was considered positive if > 10%. The primary outcome was in-hospital mortality, and secondary outcomes included ED, ICU and hospital length of stay. ROC curve was used to assess prognostic accuracy of biomarkers and derive an optimal PCTc cutoff. Multivariable logistic regression was conducted to evaluate the association of in-hospital mortality with lactate and procalcitonin clearances.ResultsFive hundred seventy-four patients with sepsis and septic shock were included. Mean age was 71.4 ± 16.5 years with male predominance (55.4%). Optimal cutoff for PCTc was found to be 23.1% (94.0% sensitivity, 7.0% specificity). Patients were then stratified based on lactate and procalcitonin clearances above and below the cutoffs to compare baseline parameters, interventions and outcomes. Patients with lactate clearance > 10 had significantly lower rates of chronic kidney disease (p = 0.006), congestive heart failure (p = 0.02), and chronic obstructive pulmonary disease (p = 0.04). Only CRP showed a statistically significant difference with respect to PCTc. Therapeutic interventions were similar in both PCTc groups and lactate clearance groups except for 24-h IV fluid administration (p = 0.04). Mortality was significantly associated with lactate clearance > 10 (p = 0.045) but not with PCTc (p = 0.65). The area under the ROC curve was 0.40 (95% CI: 0.34–0.45, p = 0.56) for lactate clearance, 0.39 (95% CI: 0.33–0.45, p = 0.56) for PCTc and 0.51 (95% CI: 0.46–0.56, p = 0.67) for NLR, with a significant difference among the AUCs (p < 0.001). Multivariate analysis showed a borderline significant association of in-hospital mortality with lactate clearance (OR = 0.66, 95% CI 0.42–1.04, p = 0.07) but not with procalcitonin clearance (OR = 1.13, 95% CI 0.43–2.95, p = 0.81). Vasopressor use was associated with reduced odds of death, while steroid use was independently associated with increased mortality.ConclusionLactate clearance with 10% cutoff is a better predictor of in-hospital mortality in patients presenting to the ED with sepsis or septic shock compared to PCTc. An optimal PCTc cutoff of 23.1% was identified; however, it did not reach statistical significance for survival. Future prospective studies are needed to better define optimal biomarker cutoffs and compare their predictive accuracy for in-hospital mortality.