期刊论文详细信息
Conflict and Health
Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger
Patrick D. M. C. Katoto1  Charles Shey Wiysonge2  Batouré Oumarou3  Blanche-Philomene Melanga Anya3  Issoufou Aboubacar3  El khalef Ishagh3  Gbaguidi Aichatou Diawara3  Tambwe Didier3  Eric Adehossi4  Adamou Moustapha5  Aida Mounkaila6  Biey Joseph Nsiari-Muzeyi7 
[1]Cochrane South Africa, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, 7501, Cape Town, South Africa
[2]Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg, 7505, Cape Town, South Africa
[3]Centre for Infectious Diseases, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg, 7505, Cape Town, South Africa
[4]Centre for Tropical Medicine and Global Health, Faculty of Medicine, Catholic University of Bukavu, Bugabo 02, Bukavu, Democratic Republic of Congo
[5]Cochrane South Africa, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, 7501, Cape Town, South Africa
[6]Department of Global Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Francie van Zijl Drive, Tygerberg, 7505, Cape Town, South Africa
[7]School of Public Health and Family Medicine, University of Cape Town, Anzio Road, Observatory, 7935, Cape Town, South Africa
[8]Country Office, World Health Organization, Quartier Plateau, Avenue Mohamed VI, 1204, Niamey, Niger
[9]Department of Internal Medicine, Niamey General Reference Hospital, BP 12674, Niamey, Niger
[10]Direction of Surveillance and Response to Epidemics, Ministry of Public Health, Niamey, Niger
[11]Directorate of Statistics, Ministry of Public Health, Niamey, Niger
[12]Sub-Regional Office for West Africa, World Health Organization, Independence Street, Gate 0058, Ouagadougou, Burkina Faso
关键词: Humanitarian crisis;    SARS-CoV-2;    Baseline characteristics;    Mortality;    Africa;   
DOI  :  10.1186/s13031-021-00426-w
来源: Springer
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【 摘 要 】
IntroductionCOVID-19 has spread across the African continent, including Niger. Yet very little is known about the phenotype of people who tested positive for COVID-19. In this humanitarian crises region, we aimed at characterizing variation in clinical features among hospitalized patients with COVID-19-like syndrome and to determine predictors associated with COVID-19 mortality among those with confirmed COVID-19.MethodsThe study was a retrospective nationwide cohort of hospitalized patients isolated for COVID-19 infection, using the health data of the National Health Information System from 19 March 2020 (onset of the pandemic) to 17 November 2020. All hospitalized patients with COVID-19-like syndrome at admission were included. A Cox-proportional regression model was built to identify predictors of in-hospital death among patients with confirmed COVID-19.ResultsSixty-five percent (472/729) of patients hospitalized with COVID-19 like syndrome tested positive for SARS-CoV-2 among which, 70 (15%) died. Among the patients with confirmed COVID-19 infection, age was significantly associated with increased odds of reporting cough (adjusted odds ratio [aOR] 1.02; 95% confidence interval [CI] 1.01–1.03) and fever/chills (aOR 1.02; 95% CI 1.02–1.04). Comorbidity was associated with increased odds of presenting with cough (aOR 1.59; 95% CI 1.03–2.45) and shortness of breath (aOR 2.03; 95% CI 1.27–3.26) at admission. In addition, comorbidity (adjusted hazards ratio [aHR] 2.04; 95% CI 2.38–6.35), shortness of breath at baseline (aHR 2.04; 95% CI 2.38–6.35) and being 60 years or older (aHR 5.34; 95% CI 3.25–8.75) increased the risk of COVID-19 mortality two to five folds.ConclusionComorbidity, shortness of breath on admission, and being aged 60 years or older are associated with a higher risk of death among patients hospitalized with COVID-19 in a humanitarian crisis setting. While robust prospective data are needed to guide evidence, our data might aid intensive care resource allocation in Niger.
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CC BY   

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