1. Determinants of mortality among hospitalized patients with COVID-19 during first and second waves of the pandemic: A retrospective cohort study from an isolation center in Kano, Nigeria.
- Author
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Dayyab FM, Bashir HA, Sulaiman AK, Iliyasu G, Hamza M, Yakasai AM, Nashabaru I, Saidu H, Ahmad BG, Dabo B, Abubakar AY, Idris IM, Yahaya AS, Ado M, Abdurrahman IS, Usman HM, Bello MK, Jaafar JS, Abdullahi A, Alhassan AM, Ahmad A, Allen AE, Ezekiel MO, Umar MA, Abdullahi MB, Sulaiman SK, Hussaini T, Umar AA, Tsanyawa AI, Shuaibu SY, Kabo NA, Muhammad BL, Yahaya MN, Bello IW, Rajab A, Daiyab AM, Kabara AF, Garko MS, and Habib AG
- Subjects
- Male, Humans, Middle Aged, Female, Retrospective Studies, Pandemics, Nigeria epidemiology, Hospitalization, COVID-19 epidemiology
- Abstract
Background: Coronavirus disease 2019 (COVID-19) has emerged as an important cause of morbidity and mortality worldwide. The aim of this study is to identify the clinical predictors of mortality among patients with COVID-19 pneumonia during first and second waves in a treatment center in northwestern Nigeria., Methods: This was a retrospective cohort study of 195 patients hospitalized with COVID-19 between April 2020 to March 2021 at a designated COVID-19 isolation center in Kano State, Northwest Nigeria. Data were summarized using frequencies and percentages. Unadjusted odds ratios and 95% confidence intervals and p-values were obtained. To determine independent determinants of mortality, we performed a stepwise multivariate logistic regression model., Results: Of 195 patients studied, 21(10.77%) patients died. Males comprised 158 (81.03%) of the study population. In the adjusted stepwise logistic regression analysis, age>64 years (OR = 9.476, 95% CI: 2.181-41.165), second wave of the pandemic (OR = 49.340, 95% CI:6.222-391.247), cardiac complications (OR = 24.984, 95% CI: 3.618-172.508), hypertension (OR = 5.831, 95% CI:1.413-24.065) and lowest systolic blood pressure while on admission greater than or equal to 90mmHg were independent predictors of mortality (OR = 0.111, 95%CI: 0.021-0.581)., Conclusion: Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Dayyab et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
- Published
- 2023
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