Details

Autor(en) / Beteiligte

• Dayyab, Farouq Muhammad
• 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 Kabir
• 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
• Radisauskas, Ricardas

Titel

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

Ist Teil von

• PloS one, 2023-02, Vol.18 (2), p.e0281455

Ort / Verlag

United States: Public Library of Science

Erscheinungsjahr

2023

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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. 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. 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). Strategies targeted to prioritize needed care to patients with identified factors that predict mortality might improve patient outcome.