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Serum HMGB1 as a biomarker and predictive model for pediatric septic shock: a cohort study
Bingxin Wang1, Xue Liu1, Keke Ma1
1Department of Pediatrics, Xinxiang Medical University First Affiliated Hospital, Weihui, China.
Insights
High mobility group box 1 (HMGB1) shows promise as a biomarker for pediatric sepsis. Combining HMGB1 with procalcitonin (PCT) in a nomogram model accurately predicts septic shock risk in children.
Area of Science:
- Pediatric critical care medicine
- Biomarker discovery
- Sepsis research
Background:
- Sepsis is a major cause of mortality in children.
- High mobility group box 1 (HMGB1) is a potential prognostic biomarker in adult sepsis.
- HMGB1's utility in pediatric sepsis requires further investigation.
Purpose of the Study:
- To evaluate HMGB1 as a prognostic biomarker for pediatric septic shock.
- To develop a clinical prediction model for septic shock in children.
Main Methods:
- Prospective cohort study of 46 pediatric patients with sepsis.
- Serum HMGB1 levels measured within 24 hours of admission.
- Receiver operating characteristic (ROC) curve analysis and multivariable logistic regression used to develop a nomogram model.
Main Results:
- Septic shock occurred in 37% of patients.
- Elevated HMGB1, procalcitonin (PCT), serum amyloid A (SAA), and interleukin-6 (IL-6) levels were associated with shock.
- HMGB1 and PCT were identified as independent risk factors.
- The nomogram model combining HMGB1 and PCT achieved high discrimination (AUC 0.874).
Conclusions:
- Serum HMGB1, especially combined with PCT, accurately predicts septic shock risk in pediatric sepsis.
- The nomogram model offers a practical bedside tool for risk stratification.
- External validation of the model is recommended.
Background:
Sepsis, defined as life-threatening organ dysfunction due to a dysregulated host response to infection, remains a leading cause of pediatric mortality. High mobility group box 1 (HMGB1), a late inflammatory mediator, has shown prognostic value in adult sepsis, but its utility in pediatric populations remains inadequately investigated. This study aimed to evaluate HMGB1 as a prognostic biomarker for septic shock in children with sepsis and to develop a clinical prediction model.
Methods:
In this prospective cohort study, we enrolled 46 pediatric patients (aged 1 month to 18 years) with sepsis and organ dysfunction at a tertiary hospital in China (March 2022 to December 2023). Serum HMGB1 levels were measured within 24 hours of admission. Patients were stratified into shock (n=17) and non-shock (n=29) groups. Receiver operating characteristic (ROC) curve analysis evaluated the diagnostic performance of HMGB1 and other biomarkers. Multivariable logistic regression identified independent predictors, which were integrated into a nomogram prediction model.
Results:
Septic shock developed in 17 patients (37.0%). The shock group exhibited significantly elevated levels of HMGB1, procalcitonin (PCT), serum amyloid A (SAA), interleukin-6 (IL-6), fibrin degradation products, and urea (all P<0.05). ROC analysis showed that HMGB1 [area under the curve (AUC) 0.755], PCT (AUC 0.843), IL-6 (AUC 0.738), and SAA (AUC 0.704) predicted shock development. Multivariable analysis identified HMGB1 and PCT as independent risk factors. The nomogram combining these biomarkers achieved excellent discrimination (C-index 0.869, AUC 0.874) with sensitivity of 82.4% and specificity of 89.7%.
Conclusions:
Serum HMGB1, particularly when combined with PCT in a nomogram model, demonstrates excellent prognostic accuracy for early identification of septic shock risk in pediatric sepsis. This practical bedside tool may facilitate timely risk stratification and guide clinical decision-making, though external validation is needed.
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