1. A Prospective Multicenter Comparison of Trauma and Injury Severity Score, American Society of Anesthesiologists Physical Status, and National Surgical Quality Improvement Program Calculator's Ability to Predict Operative Trauma Outcomes.
- Author
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Yeates EO, Nahmias J, Gabriel V, Luo X, Ogunnaike B, Ahmed MI, Melikman E, Moon T, Shoultz T, Feeler A, Dudaryk R, Navas-Blanco J, Vasileiou G, Yeh DD, Matsushima K, Forestiere M, Lian T, Dominguez OH, Ricks-Oddie JL, and Kuza CM
- Subjects
- Humans, Prospective Studies, Male, Female, Middle Aged, Adult, Aged, Risk Assessment, Postoperative Complications mortality, Postoperative Complications etiology, Postoperative Complications diagnosis, Treatment Outcome, United States epidemiology, Risk Factors, Hospital Mortality, Anesthesiologists standards, Comorbidity, Trauma Centers standards, Wounds and Injuries surgery, Wounds and Injuries mortality, Wounds and Injuries diagnosis, Quality Improvement standards, Injury Severity Score, Length of Stay, Predictive Value of Tests
- Abstract
Background: Trauma outcome prediction models have traditionally relied upon patient injury and physiologic data (eg, Trauma and Injury Severity Score [TRISS]) without accounting for comorbidities. We sought to prospectively evaluate the role of the American Society of Anesthesiologists physical status (ASA-PS) score and the National Surgical Quality Improvement Program Surgical Risk-Calculator (NSQIP-SRC), which are measurements of comorbidities, in the prediction of trauma outcomes, hypothesizing that they will improve the predictive ability for mortality, hospital length of stay (LOS), and complications compared to TRISS alone in trauma patients undergoing surgery within 24 hours., Methods: A prospective, observational multicenter study (9/2018-2/2020) of trauma patients ≥18 years undergoing operation within 24 hours of admission was performed. Multiple logistic regression was used to create models predicting mortality utilizing the variables within TRISS, ASA-PS, and NSQIP-SRC, respectively. Linear regression was used to create models predicting LOS and negative binomial regression to create models predicting complications., Results: From 4 level I trauma centers, 1213 patients were included. The Brier Score for each model predicting mortality was found to improve accuracy in the following order: 0.0370 for ASA-PS, 0.0355 for NSQIP-SRC, 0.0301 for TRISS, 0.0291 for TRISS+ASA-PS, and 0.0234 for TRISS+NSQIP-SRC. However, when comparing TRISS alone to TRISS+ASA-PS ( P = .082) and TRISS+NSQIP-SRC ( P = .394), there was no significant improvement in mortality prediction. NSQIP-SRC more accurately predicted both LOS and complications compared to TRISS and ASA-PS., Conclusions: TRISS predicts mortality better than ASA-PS and NSQIP-SRC in trauma patients undergoing surgery within 24 hours. The TRISS mortality predictive ability is not improved when combined with ASA-PS or NSQIP-SRC. However, NSQIP-SRC was the most accurate predictor of LOS and complications., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 International Anesthesia Research Society.)
- Published
- 2024
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