Predictors of in-hospital mortality of patients with COVID-19 infection in a major treatment facility in Ghana.
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Published:2023-11-17
Issue:Volume 4 Issue 2
Volume:
Page:525-532
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ISSN:2704-4890
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Container-title:Health Sciences Investigations Journal
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language:en
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Short-container-title:HSI Journal
Author:
OLIVER-COMMEY Joseph1, OWOO Christian2, GHARTEY Georgia NK3, MOHAMMED Abdul Gafaru3, BANDOH Delia3, KENU Ernest4, CALYS-TAGOE Benedict NL5
Affiliation:
1. Ghana Infectious Disease Center 2. Ghana Infectious Disease Center; Department of Anaesthesia, University of GhanaMedical School, Korle Bu, Accra 3. Ghana Field Epidemiology and Laboratory Training Programme 4. Ghana Field Epidemiology and Laboratory Training Programme & Department of Epidemiology and Disease Control, University of Ghana School of Public Health, Legon, Accra 5. Department of Community Health, University of Ghana Medical school, Korle Bu, Accra
Abstract
Background: An estimated 17 –18% of hospitalisedCOVID-19 patients die. This has been attributed to varying symptomatic, prophylactic, patient management and health care factors. However, these factors have been shown to vary with population and setting dynamics. There is limited literature on the impact of these factors on COVID-19 mortality in the Ghanaian setting. This study, therefore, assessed the factors associated with mortality among COVID-19 hospitalised patients.
Objective: The study aimed to assess the clinical and health-related factors associated with the mortality of COVID-19 patients admitted to a major treatment facility in Ghana.
Methods: We conducted a retrospective study at Ghana Infectious Disease Center, involving a review of data collected on patients admitted to the facility from January 2021 to December 2021. Using a data abstraction tool on Kobo Collect, data on patient sociodemographic characteristics, clinical presentation, underlying conditions and vaccination status were extracted from patient folders and other inpatient registers. We analysed the data and estimated Odds ratios and their respective 95%CI intervals.
Results: Out of the 271 patients admitted to the hospital within the study period, 8.86% (95%CI: 5.76–12.89) died. Being diabetic (aOR = 2.62, 95%CI: 1.08-6.35), having a cardiovascular-related disease (aOR = 4.06, 95%CI: 1.03–15.91), having a kidney disease (aOR = 4.56, 95%CI: 1.40-14.92), a chronic lung disease (aOR = 4.42, 95%CI: 1.45-13.53), and longer duration of admission (aOR = 1.06, 95%CI: 1.01-1.11) were associated with increased odds of death among the patients. Being vaccinated (aOR = 0.40, 95%CI: 0.11-0.49) was associated with a reduction in the odds of death among the patients.
Conclusion: This study revealed a less than 10% mortality rate among the patients. Being unvaccinated, having an underlying condition (diabetes, cardiovascular-related diseases, chronic lung diseases and kidney disease) and having a longer duration of admission in the hospital were associated with increased risk of death among the patients.
Publisher
University of Ghana
Reference33 articles.
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