Evidence map›Paper›PMID 40740573›Full record

ArticleMedical journal of the Islamic Republic of Iran2025

Evaluating the Efficacy of Longitudinal Coagulation Biomarkers to Predict in-Hospital Death in Comatose TBI Patients: A Time-Dependent Roc Curve Approach.

Fatemeh Ebrahimi-Nejad, Saeed Oraee-Yazdani, Mohsen Vahedi, Marzieh Peyravi Dehsorkhi, Nasrin Hosseini, Samaneh Hosseinzadeh

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Article in Medical journal of the Islamic Republic of Iran, 2025. 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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5 · Who and what money

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6 authors.

Fatemeh Ebrahimi-NejadBiostatistics Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Saeed Oraee-YazdaniShohada Tajrish Neurosurgical Center of Excellence, Functional Neurosurgery Research Center, Shohada Tajrish Hospital, Shahid Beheshti, University of Medical Sciences, Tehran, Iran.
Mohsen VahediBiostatistics Department, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran.
Marzieh Peyravi DehsorkhiShohada Tajrish Neurosurgical Center of Excellence, Functional Neurosurgery Research Center, Shohada Tajrish Hospital, Shahid Beheshti, University of Medical Sciences, Tehran, Iran.
Nasrin HosseiniNeuroscience Research Center, Iran University of Medical Sciences, Tehran, Iran.
Samaneh HosseinzadehBiostatistics Department, School of Public Health, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0559-148X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coagulopathy is a significant risk factor for in-hospital mortality in patients with traumatic brain injury (TBI). Timely monitoring of coagulation biomarkers (CB) may be crucial for predicting TBI patient prognosis. The objective of this study was to assess the time-dependent accuracy of conventional CB in predicting TBI patient outcomes using an ROC curve based on a joint longitudinal and survival data analysis. Methods: A retrospective cohort study was conducted on 132 out of 604 TBI patients admitted to Shohada-E-Tajrish Hospital in Tehran, Iran, between 2018 and 2020. CB (INR, PT, and aPTT) every 24 hours, and patient outcomes (death or survival) up to 10 days after admission were recorded. After choosing the best joint model longitudinal and survival data, the time-dependent ROC curve analysis was used, and the AUC, sensitivity, and specificity values were calculated in R 4.1.0. Results: In this study, non-surviving TBI patients had significantly higher mean aPTT, PT, and INR values than survivors. In addition, aPTT demonstrated the strongest time-dependent predictive power (AUC>0.7) for up to the fourth day after admission, while PT and INR had AUC>0.7 for up to the third day after admission. Conclusion: This study highlights that conventional coagulation biomarkers (aPTT, PT, and INR) demonstrate significant time-dependent efficacy in predicting in-hospital mortality in comatose TBI patients within the first three days of admission. Early recognition and proper management of coagulopathy are essential to improve outcomes and reduce morbidity and mortality in these patients during three days of admission.

Indexed as

and aPTTBlood coagulation disordersINRPTSensitivitySpecificityTraumatic Brain Injury

Identifiers

PMID40740573
PMCPMC12309337

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