ArticleThe Pan African medical journal2022
Medico-demographic characteristics and outcomes of COVID-19 patients admitted to a provincial hospital in Center-West of Morocco.
Article in The Pan African medical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The current Coronavirus Disease 2019 (COVID-19) pandemic that emerged in December 2019 in China continues to claim a thousand lives worldwide. This study aimed to report characteristics and in-hospital outcomes of a Moroccan COVID-19 cohort, and identify factors which predispose patients to hospitalization and mortality from COVID-19. We conducted a cross-sectional study of symptomatic COVID-19 patients referred to COVID-19 ward of the Settat Provincial Hospital, during October 2020. A confirmed COVID-19 case was defined by a positive detection of SARS-CoV-2 genome using real-time RT-PCR assay performed on nasopharyngeal swabs. Patients´ demographic and clinical characteristics were collected and analyzed using SPSS V22.0. Univariate followed by multivariate logistic regression analysis was performed to identify factors associated with mortality due to COVID-19. In total, 269 patients were reported. The median age was 64 years [IQR 54-73], 48.7% were elderly (≥ 65 years), 51.7% were men, and the case-fatality rate (CFR) was 5.58%. Males had a higher CFR (6.5%) than females (4.6%). In deceased people: 60% males, 73.3% were elderly, and oxygen saturation values of 90% or less on admission were more frequent (86.7%) than in recovered ones (10.9%). Most patients (80.3%) had at least one comorbidity: 100% of deaths, 59% older than 60 years, CFR was 6.94% and the most prevalent diseases were diabetes (54.6%), hypertension (41.7%), and cardiac disease (40.7%). The most common symptoms on presentation were dyspnea (67.7%), fever (65.4%) and cough (58.4%). Multivariable logistic regression analysis showed that only older age (AOR: 10.860, 95% CI: 3.382-34.86; p<0.001) and cardiac disease (AOR: 0.244, 95% CI: 0.074-0.799; p=0.02) were associated with higher mortality rates. Categorizing patients at admission according to risk factors identified by multivariate and also univariate analyses (mainly dyspnea) is essential to help in deciding the hospitalization priority and the strategy that will eventually reduce death risk.
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