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Predicting mortality in severe polytrauma with limited resources

Daniel Rajko Mijaljica, Pavle Gregoric, Nenad Ivancevic, Vedrana Pavlovic, Bojan Jovanovic, Vladimir Djukic

Turkish Journal of Trauma and Emergency Surgery(2022)

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摘要
BACKGROUND: Objective evaluation of the severity of injured patients is crucial for the adequate triage, decision-making, op-erative and intensive care management, prevention, outcome studies, and system quality assessment. This study aimed to compare six, widely-used, trauma scores as predictors of mortality, and to identify the most powerful among them in limited-resources settin. METHODS: Seventy-five polytraumatized patients, admitted to the Intensive care unit (ICU) of the Clinic for Emergency Surgery (Level 1 trauma center, CSS Belgrade) from June 2018 to August 2020, were included in the study. The inclusion criteria were age >= 16, Injury Severity Score (ISS) >= 16, and Sequential Organ Failure Assessment (SOFA) >= 5 points. Scores were evaluated using logistic regression model and analysis of areas under the receiver operating characteristic curve (AUC).RESULTS: During the 26 months period, highly selected cases, mostly of blunt trauma (97.3%), due to a road traffic accident (68%) and free-falls (25.3%), were included in the study. Surgery was indicated in 56 (74.7%) and non-operative treatment in 19 (25.3%) cases, with overall mortality rate at 36%. Logistic regression analysis demonstrated that all six trauma scores (ISS, NISS, Acute Physiologic Assessment and Chronic Health Evaluation [APACHE 2], SOFA, Trauma ISS [TRISS], and Kampala Trauma Score [KTS]) were signif-icant mortality predictors (p<0.001). Observed cutoff values for ISS: 39.5, NISS: 42, APACHE 2: 25, SOFA 6.5 points are predictive for mortality in non-survivors. A multivariate analysis showed that the most powerful mortality predictors are TRISS and APACHE 2 with AUCs: 0.9 and 0.866. CONCLUSION: According to our study, the most powerful mortality predictors are APACHE 2 and TRISS, even in limited-resources hospital settings, while statistically significant KTS did not perform as expected. We propose the appliance of the KTS, as the tool for exploiting "golden hour," ISS or NISS during admission stage and APACHE 2 or TRISS for use in the first 24 h after admission to ICU.
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关键词
Limited resources healthcare,mortality predictors,polytrauma,trauma scores
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