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:
Dayyab Farouq MuhammadORCID, Bashir Hussain Abdullahi, Sulaiman Abdulwahab Kabir, Iliyasu Garba, Hamza Muhammad, Yakasai Ahmad Maifada, Nashabaru Ibrahim, Saidu Hadiza, Ahmad Bashir Garba, Dabo Bashir, Abubakar Aminu Yusuf, Idris Ibrahim Musa, Yahaya Abdulrauf Sani, Ado Mustapha, Abdurrahman Ibrahim Sabo, Usman Hafizu Musa, Bello Mohammed Kabiru, Jaafar Jaafar Suleiman, Abdullahi Anifowose, Alhassan Abubakar Muhammad, Ahmad Abdulmalik, Allen Alika Ehima, Ezekiel Medu Oghenekevwe, Umar Muhammad Abdullahi, Abdullahi Muhammad B., Sulaiman Sahabi KabirORCID, Hussaini Tijjani, Umar Amina Abdullahi, Tsanyawa Aminu Ibrahim, Shuaibu Sabitu Y., Kabo Nasir Alhassan, Muhammad Basheer Lawan, Yahaya Mohammed Nura, Bello Imam Wada, Rajab Ashiru, Daiyab Abdulhakim Muhammad, Kabara Aminu Faruk, Garko Muhammad Sule, Habib Abdulrazaq Garba
Abstract
BackgroundCoronavirus 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.MethodsThis 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.ResultsOf 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).ConclusionStrategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.
Publisher
Public Library of Science (PLoS)
Subject
Multidisciplinary
Reference39 articles.
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