Evidence map›Paper›PMID 42375847›Full record

ArticleFrontiers in cardiovascular medicine2026

Prediction of trauma-induced coagulopathy in early polytrauma: a prospective cohort study.

Bo Li, Lichun Liu, Xiaoli Feng, Bohui Lv, Xiaojun Yang

Abstract read
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Article in Frontiers in cardiovascular medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bo Li *General Hospital, First Clinical Medical College, Ningxia Medical University, Yinchuan, China.
Lichun Liu *Emergency Department, Ningdong Hospital, Ningxia Hui Autonomous Region, Yinchuan, China.
Xiaoli FengGeneral Hospital, First Clinical Medical College, Ningxia Medical University, Yinchuan, China.
Bohui LvGeneral Hospital, First Clinical Medical College, Ningxia Medical University, Yinchuan, China.
Xiaojun YangGeneral Hospital, First Clinical Medical College, Ningxia Medical University, Yinchuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traumatic induced coagulopathy (TIC) is a key factor affecting the prognosis of patients with polytrauma. Early identification of patients at high risk for TIC and timely initiation of damage-control interventions are crucial. This study aims to develop and validate a predictive model for individualized estimation of TIC risk based on clinical characteristics and routine laboratory indicators. Methods: This prospective cohort study included 183 adult patients, aged 18 to 85 years, with confirmed multiple injuries who presented to the emergency department of our hospital between July 1, 2023, and December 31, 2024. Patients were divided into a TIC group ( Results: Four core predictors were ultimately identified: emergency surgery, pH value, red blood cell count (RBC), and Injury Severity Score (ISS).The model demonstrated good discriminative ability (AUC = 0.903, 95% CI: 0.858-0.948).The optimal cut-off value determined by the Youden index was 0.651, with a sensitivity of 81.3% and a specificity of 86.7%.The calibration curve showed high agreement between predicted and observed risks. Decision curve analysis further indicated that the model provided favorable clinical net benefit across a wide range of threshold probabilities. Conclusion: The predictive model developed in this study showed promising ability to estimate individualized TIC risk in patients with polytrauma and may serve as an effective tool to optimize the allocation of medical resources and facilitate early diagnosis and intervention for traumatic coagulopathy.

Indexed as

logistic regressionpolytraumapredictive modelrisk factorstraumatic induced coagulopathy

Identifiers

PMID42375847
PMCPMC13311077

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