Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger
| dc.contributor.author | Katoto, Patrick D M C | |
| dc.contributor.author | Aboubacar, Issoufou | |
| dc.contributor.author | Oumarou, Batouré | |
| dc.contributor.author | Adehossi, Eric | |
| dc.contributor.author | Anya, Blanche-Philomene M | |
| dc.contributor.author | Mounkaila, Aida | |
| dc.contributor.author | Moustapha, Adamou | |
| dc.contributor.author | Ishagh, El k | |
| dc.contributor.author | Diawara, Gbaguidi A | |
| dc.contributor.author | Nsiari-Muzeyi, Biey J | |
| dc.contributor.author | Didier, Tambwe | |
| dc.contributor.author | Wiysonge, Charles S | |
| dc.date.accessioned | 2022-04-01T13:34:13Z | |
| dc.date.available | 2022-04-01T13:34:13Z | |
| dc.date.issued | 2021-12-14 | |
| dc.date.updated | 2021-12-19T04:10:08Z | |
| dc.description.abstract | Introduction COVID-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. Methods The 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. Results Sixty-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. Conclusion Comorbidity, 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. | en_US |
| dc.identifier.apacitation | Katoto, P. D. M. C., Aboubacar, I., Oumarou, B., Adehossi, E., Anya, B. M., Mounkaila, A., ... Wiysonge, C. S. (2021). Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger. <i>Conflict and Health</i>, 15(1), 89. http://hdl.handle.net/11427/36244 | en_ZA |
| dc.identifier.chicagocitation | Katoto, Patrick D M C, Issoufou Aboubacar, Batouré Oumarou, Eric Adehossi, Blanche-Philomene M Anya, Aida Mounkaila, Adamou Moustapha, et al "Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger." <i>Conflict and Health</i> 15, 1. (2021): 89. http://hdl.handle.net/11427/36244 | en_ZA |
| dc.identifier.citation | Katoto, P.D.M.C., Aboubacar, I., Oumarou, B., Adehossi, E., Anya, B.M., Mounkaila, A., Moustapha, A. & Ishagh, E.k. et al. 2021. Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger. <i>Conflict and Health.</i> 15(1):89. http://hdl.handle.net/11427/36244 | en_ZA |
| dc.identifier.ris | TY - Journal Article AU - Katoto, Patrick D M C AU - Aboubacar, Issoufou AU - Oumarou, Batouré AU - Adehossi, Eric AU - Anya, Blanche-Philomene M AU - Mounkaila, Aida AU - Moustapha, Adamou AU - Ishagh, El k AU - Diawara, Gbaguidi A AU - Nsiari-Muzeyi, Biey J AU - Didier, Tambwe AU - Wiysonge, Charles S AB - Introduction COVID-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. Methods The 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. Results Sixty-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. Conclusion Comorbidity, 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. DA - 2021-12-14 DB - OpenUCT DP - University of Cape Town IS - 1 J1 - Conflict and Health KW - Humanitarian crisis KW - SARS-CoV-2 KW - Baseline characteristics KW - Mortality KW - Africa LK - https://open.uct.ac.za PY - 2021 T1 - Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger TI - Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger UR - http://hdl.handle.net/11427/36244 ER - | en_ZA |
| dc.identifier.uri | https://doi.org/10.1186/s13031-021-00426-w | |
| dc.identifier.uri | http://hdl.handle.net/11427/36244 | |
| dc.identifier.vancouvercitation | Katoto PDMC, Aboubacar I, Oumarou B, Adehossi E, Anya BM, Mounkaila A, et al. Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger. Conflict and Health. 2021;15(1):89. http://hdl.handle.net/11427/36244. | en_ZA |
| dc.language.iso | en | en_US |
| dc.language.rfc3066 | en | |
| dc.publisher.department | Department of Public Health and Family Medicine | en_US |
| dc.publisher.faculty | Faculty of Health Sciences | en_US |
| dc.rights.holder | The Author(s) | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_US |
| dc.source | Conflict and Health | en_US |
| dc.source.journalissue | 1 | en_US |
| dc.source.journalvolume | 15 | en_US |
| dc.source.pagination | 89 | en_US |
| dc.source.uri | https://conflictandhealth.biomedcentral.com/ | |
| dc.subject | Humanitarian crisis | en_US |
| dc.subject | SARS-CoV-2 | en_US |
| dc.subject | Baseline characteristics | en_US |
| dc.subject | Mortality | en_US |
| dc.subject | Africa | en_US |
| dc.title | Clinical features and predictors of mortality among hospitalized patients with COVID-19 in Niger | en_US |
| dc.type | Journal Article | en_US |