Selected article for: "acute respiratory syndrome sars and additional study"

Author: Mohammed, Mustapha; Muhammad, Surajuddeen; Mohammed, Fatima Zaji; Mustapha, Sagir; Sha’aban, Abubakar; Sani, Najib Yahaya; Ahmad, Mubarak Hussaini; Bala, Auwal Adam; Ungogo, Marzuq Abubakar; Alotaibi, Nawaf M; Zainal, Hadzliana
Title: Risk Factors Associated with Mortality Among Patients with Novel Coronavirus Disease (COVID-19) in Africa
  • Cord-id: jtf1mbyx
  • Document date: 2020_10_13
  • ID: jtf1mbyx
    Snippet: BACKGROUND: The novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in China and later spread rapidly to other parts of the world, including Africa. Africa was projected to be devastated by COVID-19. There is currently limited data regarding regional predictors of mortality among patients with COVID-19. This study aimed to evaluate the independent risk factors associated with mortality among patients with COVID-19 in Afri
    Document: BACKGROUND: The novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in China and later spread rapidly to other parts of the world, including Africa. Africa was projected to be devastated by COVID-19. There is currently limited data regarding regional predictors of mortality among patients with COVID-19. This study aimed to evaluate the independent risk factors associated with mortality among patients with COVID-19 in Africa. METHODS: A total of 1028 confirmed cases of COVID-19 from Africa with definite survival outcomes were identified retrospectively from an open-access individual-level worldwide COVID-19 database. The live version of the dataset is available at https://github.com/beoutbreakprepared/nCoV2019. Multivariable logistic regression was conducted to determine the risk factors that independently predict mortality among patients with COVID-19 in Africa. RESULTS: Of the 1028 cases included in study, 432 (42.0%) were females with a median (interquartile range, IQR) age of 50 (24) years. Older age (adjusted odds ratio {aOR} 1.06; [95% confidence intervals {95% CI}, 1.04–1.08]), presence of chronic disease (aOR 9.63; [95% CI, 3.84–24.15]), travel history (aOR 2.44; [95% CI, 1.26–4.72]), as well as locations of Central Africa (aOR 0.14; [95% CI, 0.03–0.72]) and West Africa (aOR 0.12; [95% CI, 0.04–0.32]) were identified as the independent risk factors significantly associated with increased mortality among the patients with COVID-19. CONCLUSIONS: The COVID-19 pandemic is evolving gradually in Africa. Among patients with COVID-19 in Africa, older age, presence of chronic disease, travel history, and the locations of Central Africa and West Africa were associated with increased mortality. A regional response should prioritize strategies that will protect these populations. Also, conducting a further in-depth study could provide more insights into additional factors predictive of mortality in COVID-19 patients.

    Search related documents:
    Co phrase search for related documents
    • acute ards respiratory distress syndrome and additional factor: 1, 2
    • acute ards respiratory distress syndrome and logistic regression: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • acute ards respiratory distress syndrome and low mortality: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24
    • acute ards respiratory distress syndrome and low mortality rate: 1, 2, 3, 4
    • additional factor and logistic regression: 1, 2, 3, 4, 5
    • logistic regression and low mortality: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • logistic regression and low mortality rate: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • logistic regression and low report: 1, 2, 3, 4