Abstract
Objectives: To assess treatment and identify predictive factors of worsening in COVID-19 patients. Methods: This study was ambispective (both prospective and retrospective) and part of a multidisciplinary, multicenter project designed to generate epidemiological, sociological and anthropological data about the COVID-19 epidemic in Burkina Faso. Medical records of patients admitted for COVID-19 at the hospitals of Ouagadougou and Bobo-Dioulasso from March 2020 to April 2021 were reviewed. To identify predictive factors of severe complications, we used Poisson regression models. Results: In total, 1,511 patients were included, of whom 70% were aged ≤50 years, 59% were men and 97% were living in an urban area. Of the 86% of patients treated, 92.9% of them received the combo Azithromycin-hydroxychloroquine. A total of 78 (5.2%) patients experienced complications during hospitalization, and 49 (3.3%) patients died. Multivariate analysis identified patient's age, residence and comorbidity as factors associated with poor outcomes. Conclusions: Although most people had symptoms, most of them recovered without sequelae, and few patients had severe forms of disease. Age was a strong predictor of worse outcomes in this population.
| Original language | English (US) |
|---|---|
| Article number | 1542024 |
| Journal | Frontiers in Public Health |
| Volume | 13 |
| DOIs | |
| State | Published - 2025 |
| Externally published | Yes |
Funding
The author(s) declare that financial support was received for the research and/or publication of this article. This project was supported by the ANRS (France REcherche Nord & Sud Sida-hiv-Hépatites) [ANRS-COV13/EMuLCOVID-19]. The funding bodies was not involved in the study design, collection, analysis, and interpretation of data, the writing of this article or the decision to submit it for publication.
Keywords
- COVID-19
- age
- comorbidity
- complications
- treatment
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health