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Prognostic factors and outcomes of COVID-19 cases in Ethiopia: multi-center cohort study protocol

Authors :
Saro Abdella
Masresha Tessema
Geremew Tasew
Atkure Defar
Asefa Deressa
Feyisa Regasa
Frehiwot Teka
Eyasu Tigabu
Dereje Nigussie
Tefera Belachew
Million Molla
Amare Deribew
Workeabeba Abebe
Tegbar Yigzaw
Tsinuel Nigatu
Getnet Mitike
Tewodros Haile
Haftom Taame
Muhammed Ahmed
Frehiwot Nigatu
Tola Tolesa
Eskinder Wolka
Wondwossen Amogne
Arnaud Laillou
Misker Amare
Yaregal Fufa
Alemayehu Argaw
Woldesenbet Waganew
Akilili Azazh
Aschalew Worku
Berhane Redae
Menbeu Sultan
Miraf Walelegn
Muluwork Tefera
Sisay Yifru
Rahel Argaw
Natinael Brehau
Sisay Teklu
Getachew Demoz
Yakob Seman
Mihretab Salasibew
Eshetu Ejeta
Susan J. Whiting
Dawit Wolday
Getachew Tollera
Ebba Abate
Dereje Duguma
Source :
BMC Infectious Diseases, Vol 21, Iss 1, Pp 1-7 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus (SARS-CoV-2) and became pandemic after emerging in Wuhan, China, in December 2019. Several studies have been conducted to understand the key features of COVID-19 and its public health impact. However, the prognostic factors of COVID-19 are not well studied in the African setting. In this study, we aim to determine the epidemiological and clinical features of COVID-19 cases, immunological and virological courses, interaction with nutritional status, and response to treatment for COVID-19 patients in Ethiopia. Methods A multi-center cohort study design will be performed. Patients with confirmed COVID-19 infection admitted to selected treatment centers will be enrolled irrespective of their symptoms and followed-up for 12 months. Baseline epidemiological, clinical, laboratory and imaging data will be collected from treatment records, interviews, physical measurements, and biological samples. Follow-up data collection involves treatment and prognostic outcomes to be measured using different biomarkers and clinical parameters. Data collection will be done electronically using the Open Data Kit (ODK) software package and then exported to STATA/SPSS for analysis. Both descriptive and multivariable analyses will be performed to assess the independent determinants of the treatment outcome and prognosis to generate relevant information for informed prevention and case management. The primary outcomes of this study are death/survival and viral shedding. Secondary outcomes include epidemiological characteristics, clinical features, genetic frequency shifts (genotypic variations), and nutritional status. Discussion This is the first large prospective cohort study of patients in hospitals with COVID-19 in Ethiopia. The results will enable us to better understand the epidemiology of SARS-CoV-2 in Africa. This study will also provide useful information for effective public health measures and future pandemic preparedness and in response to outbreaks. It will also support policymakers in managing the epidemic based on scientific evidence. Trial Registration: The Protocol prospectively registered in ClinicalTrials.gov (NCT04584424) on 30 October, 2020.

Details

Language :
English
ISSN :
14712334
Volume :
21
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Infectious Diseases
Publication Type :
Academic Journal
Accession number :
edsdoj.41628e53918048b783ca252f977f5d1e
Document Type :
article
Full Text :
https://doi.org/10.1186/s12879-021-06652-0