Development and validation of a clinical nomogram for predicting 30-day in-hospital mortality in children with moderate-to-severe traumatic brain injury - Report - MDSpire

Development and validation of a clinical nomogram for predicting 30-day in-hospital mortality in children with moderate-to-severe traumatic brain injury

  • By

  • Yi Zhong

  • Yuchen Liu

  • Mingyang Huang

  • Rongting Zhang

  • Ruxuan Zhou

  • Yongjun Xiang

  • Yuan Bin

  • Tianquan Yang

  • Yong Han

  • Min Chen

  • Hangzhou Wang

  • June 8, 2026

  • 0 min

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Clinical Report: Nomogram for Predicting 30-Day Mortality in Pediatric TBI

Overview

This study developed a clinical nomogram to predict 30-day in-hospital mortality in pediatric patients with moderate-to-severe traumatic brain injury (msTBI). The model demonstrated strong predictive performance with an AUC of 0.898, incorporating key clinical variables.

Background

Traumatic brain injury (TBI) is a leading cause of death and disability in children, necessitating effective risk stratification tools. With a significant proportion of pediatric TBI cases classified as moderate-to-severe, early identification of high-risk patients is crucial for improving outcomes. Existing prediction models have limitations, highlighting the need for a robust tool like the nomogram developed in this study.

Data Highlights

VariableValue
AUC0.898 (95% CI: 0.896, 0.899)
Median Age5.17 years (IQR, 2.75–9.33)
Sample Size289 patients
Independent PredictorsGCS score, lactic acid, albumin, trauma-induced coagulopathy

Key Findings

  • The nomogram predicts 30-day in-hospital mortality in pediatric msTBI patients.
  • Four independent predictors were identified: Glasgow Coma Scale score, lactic acid, albumin, and trauma-induced coagulopathy.
  • The model achieved an AUC of 0.898, indicating excellent predictive accuracy.
  • Good calibration was confirmed by a non-significant Hosmer-Lemeshow test (P = 0.475).
  • Clinical decision analysis indicated a threshold probability ranging from 0 to 0.95.

Clinical Implications

The nomogram serves as a valuable tool for clinicians to identify high-risk pediatric patients with msTBI, facilitating early intervention and tailored treatment strategies. By integrating key clinical variables, it enhances decision-making in acute care settings.

Conclusion

The developed nomogram provides a reliable method for predicting 30-day in-hospital mortality in children with msTBI, supporting improved clinical outcomes through early risk assessment.

Related Resources & Content

  1. npj Digital Medicine, 2025 -- Prognostic Assessment and U-Shaped Relationship Between SBP and Risk in Patients with Unstable Pelvic Fractures and Traumatic Brain Injury
  2. conexiant, 2025 -- Lactate–Albumin Ratio Tied to TBI Mortality
  3. Outcomes of Moderate to Severe Traumatic Brain Injury in a Swedish Population and Validation of the IMPACT Prognostic Models, 2021
  4. Guidelines for the Management of Pediatric Severe TBI, 3rd Edition, Brain Trauma Foundation
  5. Frontiers in Pediatrics — Predicting severe intraventricular hemorrhage in very preterm and/or very low birth weight infants: a nomogram approach
  6. Guidelines for the Management of Pediatric Severe TBI
  7. Too severe to save? Association between the timing of decompressive craniectomy and mortality in pediatric traumatic brain injury using the German hospital database | Critical Care | Springer Nature Link
  8. MRI and Clinical Variables for Prediction of Outcomes After Pediatric Severe Traumatic Brain Injury - PubMed

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