Development and validation of a clinical nomogram for predicting 30-day in-hospital mortality in children with moderate-to-severe traumatic brain injury - Takeaways - 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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  • 1

    A clinical nomogram was developed to predict 30-day in-hospital mortality in pediatric patients with moderate-to-severe traumatic brain injury.

  • 2

    The study analyzed 289 pediatric patients, identifying four independent predictors: Glasgow Coma Scale score, lactic acid, albumin, and trauma-induced coagulopathy.

  • 3

    The nomogram demonstrated an area under the curve (AUC) of 0.898, indicating strong predictive performance for mortality outcomes.

  • 4

    Good model calibration was confirmed by a non-significant Hosmer-Lemeshow test result (P = 0.475), supporting its reliability.

  • 5

    This tool aims to enhance early risk stratification and assist clinicians in making informed treatment decisions for high-risk pediatric TBI patients.

Original Source(s)

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

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