ArticleFrontiers in pediatrics2025
Identification of novel phenotypes in pediatric sepsis based on blood glucose trajectories.
Article in Frontiers in pediatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Early ICU glycemic trajectory phenotypes predict short- and long-term mortality in critically ill patients: a dual-database cohort study.Metabolism open · 2026Article
- Localized surface plasmon resonance-based point-of-care testing for pediatric sepsis.Frontiers in pediatrics · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 h 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 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.