Repository logo
Colleges & Collections
All of WKU-Repo
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "ABDULSEMED WORKU"

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Results Per Page
  • Sort Options
  • No Thumbnail Available
    Item
    ACUTE CORONARY SYNDROME IN-HOSPITA MORTALITY AND ASSOCIATED FACTORS AMONG PATIENTS ADMITTED TO WOLKITE UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, 2023-2026: A CROSS-SECTIONAL CHART REVIEW
    (wolkite University, 2026-06) ABDULSEMED WORKU
    Background: Acute coronary syndrome remains a major cause of in-hospital mortality in low-resource settings, where access to reperfusion therapy and specialized cardiac care is limited. Evidence on determinants of outcomes in such contexts is scarce, particularly from non-revascularization centers in Ethiopia. Objective: To determine the magnitude of in-hospital mortality and identify its independent predictors among patients admitted with Acute Coronary Syndrome at Wolkite University Specialized Hospital, in the years 2023-2026; Wolkite Ethiopia. Methods: A cross-sectional chart review was conducted among 212 consecutive Acute Coronary Syndrome patients admitted between 2023 and 2026. Sociodemographic characteristics, clinical presentation, laboratory parameters, in-hospital complications, and outcomes were extracted using a structured checklist. The primary outcome was in-hospital mortality (died vs discharged alive). Bivariate logistic regression was performed to identify candidate predictors, followed by multivariable logistic regression using an events-per variable–guided approach. Model fitness was assessed using the Hosmer–Lemeshow test and pseudo R² statistics. Result: The overall in-hospital mortality rate was 16.1%, with substantially higher mortality among patients presenting with ST-segment elevation myocardial infarction. In multivariable analysis, Killip class IV at presentation [AOR=11], ST-segment elevation myocardial infarction diagnosis [AOR= 3.6], elevated serum creatinine indicating acute kidney injury (AOR ≈ 10), and composite in-hospital complications [AOR=14] were independently associated with in-hospital mortality. The final model demonstrated good fit (Hosmer Lemeshow, p = 0.718) and strong explanatory power (Nagelkerke R² = 0.73). Conclusion: In-hospital mortality among Acute Coronary Syndrome patients in our study was high and driven primarily by clinical severity and in-hospital complications. Early risk stratification and improved supportive care for high-risk patients are essential to improve outcomes in resource-limited settings.
  • No Thumbnail Available
    Item
    ACUTE CORONARY SYNDROME IN-HOSPITA MORTALITY AND ASSOCIATED FACTORS AMONG PATIENTS ADMITTED TO WOLKITE UNIVERSITY COMPREHENSIVE SPECIALIZED HOSPITAL, 2023-2026: A CROSS-SECTIONAL CHART REVIEW
    (wolkite University, 2026-06) ABDULSEMED WORKU
    Background: Acute coronary syndrome remains a major cause of in-hospital mortality in low-resource settings, where access to reperfusion therapy and specialized cardiac care is limited. Evidence on determinants of outcomes in such contexts is scarce, particularly from non-revascularization centers in Ethiopia. Objective: To determine the magnitude of in-hospital mortality and identify its independent predictors among patients admitted with Acute Coronary Syndrome at Wolkite University Specialized Hospital, in the years 2023-2026; Wolkite Ethiopia. Methods: A cross-sectional chart review was conducted among 212 consecutive Acute Coronary Syndrome patients admitted between 2023 and 2026. Sociodemographic characteristics, clinical presentation, laboratory parameters, in-hospital complications, and outcomes were extracted using a structured checklist. The primary outcome was in-hospital mortality (died vs discharged alive). Bivariate logistic regression was performed to identify candidate predictors, followed by multivariable logistic regression using an events-pervariable–guided approach. Model fitness was assessed using the Hosmer–Lemeshow test and pseudo R² statistics. Result: The overall in-hospital mortality rate was 16.1%, with substantially higher mortality among patients presenting with ST-segment elevation myocardial infarction. In multivariable analysis, Killip class IV at presentation [AOR=11], ST-segment elevation myocardial infarction diagnosis [AOR= 3.6], elevated serum creatinine indicating acute kidney injury (AOR ≈ 10), and composite in-hospital complications [AOR=14] were independently associated with in-hospital mortality. The final model demonstrated good fit (Hosmer– Lemeshow, p = 0.718) and strong explanatory power (Nagelkerke R² = 0.73). Conclusion: In-hospital mortality among Acute Coronary Syndrome patients in our study was high and driven primarily by clinical severity and in-hospital complications. Early risk stratification and improved supportive care for high-risk patients are essential to improve outcomes in resource-limited settings.

WKU Repository © 2025 Wolkite University

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify