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Development and internal-external validation of a risk prediction nomogram for secondary myocardial injury in traumatic brain injury.

Overview

Authors: Yu-Qin Zhan1,2, Chen-yang Wu1,2, Yu-bin Shen1,2, Ya-hui Ding2
  1. The 2nd Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
  2. Department of Cardiovascular Medicine, Heart Center, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
Journal: Frontiers in neurology, volume 17, article 1770629
Dates: received 18 December 2025; accepted 25 February 2026; published online 12 March 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fneur.2026.1770629 · PMID 41908278 · PMCID PMC13017325 · OpenAlex W7135022507
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: human (organism), traumatic brain injury (population)
Methods: Statistics, Machine learning, Physiology & signal measures
Keywords: intensive care unit, secondary myocardial injury, nomogram, predictive model, traumatic brain injury
Topic: Trauma Management and Diagnosis (Surgery, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 50 references in the paper

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.

Code

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Data

Datasets cited

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

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://doi.org/10.3389/fneur.2026.1770629

BibTeX

@article{zhan2026development,
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/fneur.2026.1770629},
url = {https://doi.org/10.3389/fneur.2026.1770629},
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 - 2026/03/12
VL - 17
SP - 1770629
SN - 1664-2295
PB - Frontiers Media SA
DO - 10.3389/fneur.2026.1770629
UR - https://doi.org/10.3389/fneur.2026.1770629
LA - en
ER -

CSL-JSON

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