Evidence map›Paper›PMID 41888654›Full record

ArticleInternational journal of emergency medicine2026

Predictive value of trauma scoring systems for mortality and intensive care outcomes among trauma patients: a study from central Iran.

Naeimeh Heiranizadeh, Marzieh Azimizadeh, Seyedeh Mehrnoosh Mirvakili, Abdolhamid Amooee, Parisa Rahimian, Hamidreza Mohammadi

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Article in International journal of emergency 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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5 · Who and what money

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6 authors.

Naeimeh HeiranizadehDepartment of Surgery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Marzieh AzimizadehYazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Afshar Hospital, Jomhouri Blvd, Yazd, Iran.
Seyedeh Mehrnoosh MirvakiliDepartment of Surgery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abdolhamid AmooeeDepartment of Surgery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Parisa RahimianSchool of Medicine, Islamic Azad University of Medical Sciences, Yazd, Iran.
Hamidreza MohammadiYazd Cardiovascular Research Center, Non-Communicable Diseases Research Institute, Shahid Sadoughi University of Medical Sciences, Afshar Hospital, Jomhouri Blvd, Yazd, Iran. H.r_mohammadi@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRapid and accurate assessment of trauma severity is essential for guiding clinical decisions and improving patient outcomes. Although several trauma scoring systems exist, their practicality and predictive performance in real-world emergency settings remain under investigation. This study aimed to evaluate and compare the predictive value of three rapidly assessable trauma scoring systems, the Glasgow Coma Scale (GCS), Revised Trauma Score (RTS), and Injury Severity Score (ISS), for in-hospital mortality, intensive care unit (ICU) admission, and prolonged ICU stay among trauma patients in central Iran.

methodsThis retrospective study analyzed 1,812 trauma patients admitted to Shahid Rahnemoun Hospital, Yazd, Iran, from April 2018 to May 2019. Demographic, clinical, and outcome data were collected from medical records. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to assess the predictive performance of GCS, RTS, and ISS for trauma outcomes.

resultsRoad traffic injuries (RTIs) were the leading cause of trauma (60.6%), followed by falls (23.2%). The overall mortality rate was 1.6%, and 15.9% required ICU admission. ISS showed the strongest association with mortality (OR = 1.15; 95% CI: 1.10-1.20; p < 0.01), ICU admission (OR = 1.26; 95% CI: 1.23-1.30), and prolonged ICU stay (OR = 1.16; 95% CI: 1.13-1.20). ROC analysis confirmed ISS as the most accurate predictor across all outcomes: AUC = 0.948 (95% CI: 0.92-0.97) for mortality, 0.877 (95% CI: 0.85-0.90) for ICU admission, and 0.933 (95% CI: 0.91-0.95) for prolonged ICU stay. GCS and RTS also demonstrated acceptable predictive ability, particularly for prolonged ICU stay (AUC = 0.906 and 0.882, respectively).

conclusionISS exhibited superior predictive accuracy for mortality, ICU admission, and prolonged ICU stay compared with GCS and RTS. All three systems proved clinically useful, with ISS recommended for well-equipped trauma centers and GCS/RTS for rapid triage in resource-limited settings.

Indexed as

Glasgow coma scaleInjury severity scoreRevised trauma scoreRoad traffic injuryTrauma

Identifiers

PMID41888654
PMCPMC13045056

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