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ORIGINAL RESEARCH article

Front. Pediatr.

Sec. Pediatric Critical Care

Volume 13 - 2025 | doi: 10.3389/fped.2025.1663890

This article is part of the Research TopicAdvancing pediatric critical care: Sepsis, immune dysregulation, and precision therapiesView all 8 articles

Identification of Novel Phenotypes in Pediatric Sepsis Based on Blood Glucose Trajectories

Provisionally accepted
  • 1Department of Critical Care Medicine, Children‘s Hospital of Chongqing Medical University, Chongqing, China
  • 2Department of Emergency, Children‘s Hospital of Chongqing Medical University, Chongqing, China
  • 3Big Data Center for Children’s Medical Care, Children‘s Hospital of Chongqing Medical University, Chongqing, China

The final, formatted version of the article will be published soon.

Objective: Metabolic heterogeneity in sepsis is a critical determinant of prognosis. This study applied group-based trajectory modeling (GBTM) to identify blood glucose trajectory phenotypes in pediatric sepsis and elucidate their associations with clinical outcomes. Methods: A retrospective cohort study was conducted, enrolling 1,178 pediatric patients diagnosed with sepsis who were admitted to the pediatric intensive care unit of the Children's Hospital of Chongqing Medical University between 2014 and 2022. Dynamic blood glucose data were collected within 72 hours of ICU admission, and GBTM was employed to classify trajectory phenotypes. Multivariate logistic regression was used to identify independent predictors of in-hospital mortality. A subgroup analysis focused specifically on patients with septic shock. Results: The analysis identified four distinct blood glucose trajectory phenotypes: Group 1 (7.3%): Slow-recovery hypoglycemia, predominantly among infants with severe liver injury, coagulopathy, and hyperlactatemia (in-hospital mortality: 13.79%). Group 2 (59.9%): Normoglycemia with minimal organ dysfunction (reference group; mortality: 5.10%). Group 3 (27.7%): Persistent mild hyperglycemia, characterized by elevated inflammatory markers and mild organ injury (mortality: 8.26%). Group 4 (4.9%): Persistent severe hyperglycemia associated with renal impairment and lactate accumulation (mortality: 17.24%). Multivariate analysis revealed Group 4 as an independent risk factor for mortality (aOR=3.13, 95% CI 1.38-7.07). In the septic shock subgroup, the mortality risks for Group 1 and Group 4 increased by 5.2-fold and 8.28-fold, respectively (both P<0.05). Conclusion: GBTM effectively stratifies pediatric sepsis into distinct blood glucose trajectory phenotypes. Persistent severe hyperglycemia (Group 4) independently predicts in-hospital mortality, while slow-recovery hypoglycemia (Group 1) indicates a poor prognosis in septic shock. Phenotype-guided interventions are recommended: early insulin therapy (target blood glucose <10 mmol/L) for Group 4 and prophylactic glucose infusion (target >3.8 mmol/L) for Group 1.

Keywords: Sepsis, pediatric, Group-based trajectory modeling, longitudinal bloodglucose, phenotype

Received: 11 Jul 2025; Accepted: 22 Oct 2025.

Copyright: © 2025 Wang, Song, Li, Xu, Liu, Liu, Xu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jing Li, lijingwangyi@126.com

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