Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury.
Overview
- The 2nd Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
- Department of Cardiovascular Medicine, Heart Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
Abstract
Introduction: Traumatic Brain Injury (TBI)-induced secondary myocardial injury (SMI) is a severe complication with poor prognosis, but reliable early predictive tools are lacking. This study aimed to develop and validate a nomogram for predicting this risk in TBI patients admitted to the intensive care unit (ICU).
Methods: We retrospectively analyzed 1,042 ICU-admitted TBI patients without pre-existing cardiac disease from the MIMIC-IV database, randomly divided into training (n = 729) and internal validation (n = 313) sets at a 7:3 ratio. An external validation cohort of 200 patients from Zhejiang Provincial People’s Hospital (2020–2025) was also included. Five key predictors were identified via univariate and multivariate logistic regression.
Results: The final model included blood urea nitrogen, hemoglobin, Sequential Organ Failure Assessment (SOFA) score, serum potassium, and creatinine. It showed good discriminative ability: training set AUC = 0.772 (95%CI: 0.737–0.808), internal validation set AUC = 0.785 (95%CI: 0.733–0.837), and external validation set AUC = 0.848 (95%CI: 0.778–0.917).
Conclusions and discussion: This nomogram, based on easily accessible clinical parameters, enables early risk stratification of SMI in TBI patients before cardiac biomarker elevation, providing a practical tool for targeted clinical monitoring and intervention.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Data
Datasets cited
- physionet.org/
content/ , at PhysioNet; found in the end of the papermimiciv
Data availability statement
The original contributions presented in the study are included in the article/
Reproduced under the paper's license (CC BY), from the paper cited above.
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Version 1, 30 September 2026: the first record
Recorded: type, language, journal, volume, pages, dates, 4 authors, 5 keywords, 50 references.
Cite
This paper
Zhan, Y.-Q., Wu, C.-y., Shen, Y.-b., & Ding, Y.-h. (2026). Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury. Frontiers in neurology, 17, 1770629. https://
BibTeX
@article{zhan2026develop
author = {Zhan, Yu-Qin and Wu, Chen-yang and Shen, Yu-bin and Ding, Ya-hui},
title = {{Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury}},
journal = {Frontiers in neurology},
year = {2026},
month = mar,
volume = {17},
pages = {1770629},
publisher = {Frontiers Media SA},
issn = {1664-2295},
doi = {10.3389/
url = {https://
pmid = {41908278},
pmcid = {PMC13017325}
}
RIS
TY - JOUR
AU - Zhan, Yu-Qin
AU - Wu, Chen-yang
AU - Shen, Yu-bin
AU - Ding, Ya-hui
TI - Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury
T2 - Frontiers in neurology
J2 - Front Neurol
PY - 2026
DA - 2026/
VL - 17
SP - 1770629
SN - 1664-2295
PB - Frontiers Media SA
DO - 10.3389/
UR - https://
LA - en
ER -
CSL-JSON
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