Thesis Open Access
SAMUEL AMBAYE (MD)
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<foaf:name>SAMUEL AMBAYE (MD)</foaf:name>
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<dct:title>INCIDENCE AND PREDICTORS OF IN-HOSPITAL MORTALITY OF TRAUMA LAPAROTOMY AT WALLAGA UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, NEKEMTE, ETHIOPIA: A RETROSPECTIVE COHORT STUDY</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2026</dct:issued>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-08-24</dct:issued>
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<dct:description><p><strong>ABSTRACT</strong></p> <p><strong>Background</strong>: Trauma laparotomy is a life-saving surgical intervention for patients with severe abdominal injuries, but it carries substantial mortality risk, particularly in resource-limited settings where delays in presentation and limited critical care capacity compromise outcomes. Despite the high burden of trauma in western Ethiopia, no comprehensive study has evaluated the incidence and predictors of mortality following trauma laparotomy in this region. Understanding institution-specific risk factors is essential for developing targeted quality improvement interventions</p> <p><strong>Objective: </strong>To assess the incidence and predictors of in-hospital mortality of trauma related laparotomy for abdominal injury at Wallaga University comprehensive specialized hospital from January, 2024 to December, 2025</p> <p><strong>Methods: </strong>A retrospective cohort study was conducted at Wallaga University Comprehensive Specialized Hospital from January, 2024 to December, 2025 on 175 patients for whom trauma laparotomy was done selected based on total sampling method. Data was extracted from patients&rsquo; medical records and entered and analyzed using SPSS version 27.0. A Kaplan Meier plot with a Log-rank test was used to evaluate the median survival time difference. Bivariable Cox regression was used to select variables for the final model at a p-value &lt;0.25. Multivariable Cox regression was used to identify independent predictors of mortality of trauma laparotomy patients considering a 95% confidence interval of adjusted hazard ratio and a corresponding p-value&le;0.05.&nbsp;</p> <p><strong>Results</strong>: During a total of 1145 person-days, 22 patients (12.6% (95CI:8.1, 18.60)) died, yielding an incidence rate of 19.2 death per 1000 person-days (95% CI:12.0-29.2). The median time to death was 3 days (95% CI IQR: 1&ndash;6). Shock index, Pre-hospital delay (AHR 1.08(95% CI 1.03-1.14)), Injury burden (AHR 5.70(95% CI 2.53-12.85)), Time to operative intervention (AHR 1.05(95% CI 1.02-1.08)) were independent predictors of mortality.</p> <p><strong>Conclusion</strong>: The incidence of trauma laparotomy mortality was comparable with previous study done in Ethiopia. Shock index, Pre-hospital delay, Injury burden, Time to operative intervention were independent predictors of mortality. We recommend to use routine shock index calculation at triage for all trauma patients.</p> <p><strong><em>Key words</em></strong><strong>-</strong><em>Trauma laparotomy, postoperative mortality, hospital mortality, incidence</em></p></dct:description>
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