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<p>Trauma is a significant public health issue and a leading cause of death and disability worldwide. Timely interventions are critical for improving outcomes. This study aimed to identify mortality predictors in multiple trauma patients treated at a trauma center. A retrospective study was conducted from February 2023 to January 2024, including 255 multiple trauma patients with Injury Severity Score (ISS) ≥ 9. Data included demographics, vital signs, and laboratory results including base excess (BE) at admission. The primary outcome measures were mortality predictors: Trauma and Injury Severity Score (TRISS), Revised Trauma Score (RTS), BE, and National Early Warning Score (NEWS). A dichotomous analysis was performed between survivors and non-survivors. To determine the factors predicting the outcomes, univariate and multivariate analyses were performed on this dichotomous data. Predictive accuracy was assessed using receiver operating characteristic (ROC) curve analysis. A total of 255 eligible patients were included for analysis. Independent predictors of mortality included the TRISS, RTS, and BE. TRISS shows the highest predictive accuracy (AUC = 0.965). The observed mortality rate was 22.7%. TRISS, RTS, and BE are strong independent predictors of mortality. ROC analysis highlights their predictive value, emphasizing the need for early identification and intervention in trauma care.</p>

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TRISS, Base Excess, and RTS as Predictors of Outcomes in Polytrauma Patients: A Retrospective Analytical Study from a Trauma Center

  • 期刊论文

  • 发表日期：

    2025年2月27日

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  • Saman Sheikhi,
  • Fatemeh Eghbal,
  • Mojtaba Ahmadinejad,
  • Mohammad Hadi Bahri,
  • Ramin Bozorgmehr,
  • Javad Zebarjadi Bagherpour

摘要

Trauma is a significant public health issue and a leading cause of death and disability worldwide. Timely interventions are critical for improving outcomes. This study aimed to identify mortality predictors in multiple trauma patients treated at a trauma center. A retrospective study was conducted from February 2023 to January 2024, including 255 multiple trauma patients with Injury Severity Score (ISS) ≥ 9. Data included demographics, vital signs, and laboratory results including base excess (BE) at admission. The primary outcome measures were mortality predictors: Trauma and Injury Severity Score (TRISS), Revised Trauma Score (RTS), BE, and National Early Warning Score (NEWS). A dichotomous analysis was performed between survivors and non-survivors. To determine the factors predicting the outcomes, univariate and multivariate analyses were performed on this dichotomous data. Predictive accuracy was assessed using receiver operating characteristic (ROC) curve analysis. A total of 255 eligible patients were included for analysis. Independent predictors of mortality included the TRISS, RTS, and BE. TRISS shows the highest predictive accuracy (AUC = 0.965). The observed mortality rate was 22.7%. TRISS, RTS, and BE are strong independent predictors of mortality. ROC analysis highlights their predictive value, emphasizing the need for early identification and intervention in trauma care.