Microbiology Laboratory, Provincial Hassan II Hospital, Settat, Morocco.
Delegation of the Health Ministry of Settat, Casablanca-Settat Regional Health Directorate, Settat, Morocco.
Pan Afr Med J. 2022 Aug 10;42:268. doi: 10.11604/pamj.2022.42.268.35427. eCollection 2022.
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.
自 2019 年 12 月在中国出现的当前 2019 年冠状病毒病（COVID-19）大流行继续在全球夺走千人性命。本研究旨在报告摩洛哥 COVID-19 队列的特征和住院结局，并确定使患者易患 COVID-19 住院和死亡的因素。我们对 2020 年 10 月期间在塞塔特省医院 COVID-19 病房就诊的有症状的 COVID-19 患者进行了横断面研究。通过对鼻咽拭子进行实时 RT-PCR 检测，检测到 SARS-CoV-2 基因组的阳性检测即可确诊 COVID-19 病例。使用 SPSS V22.0 收集和分析患者的人口统计学和临床特征。进行单变量和多变量逻辑回归分析，以确定与 COVID-19 死亡相关的因素。总共报告了 269 例患者。中位年龄为 64 岁[IQR 54-73]，48.7%为老年人（≥65 岁），51.7%为男性，病死率（CFR）为 5.58%。男性的 CFR（6.5%）高于女性（4.6%）。在死亡患者中：60%为男性，73.3%为老年人，入院时血氧饱和度值在 90%或以下的情况更为频繁（86.7%），而在康复者中则为 10.9%。大多数患者（80.3%）至少有一种合并症：100%的死亡者，59%年龄超过 60 岁，CFR 为 6.94%，最常见的疾病是糖尿病（54.6%），高血压（41.7%）和心脏病（40.7%）。就诊时最常见的症状是呼吸困难（67.7%），发烧（65.4%）和咳嗽（58.4%）。多变量逻辑回归分析表明，只有年龄较大（OR：10.860，95%CI：3.382-34.86；p<0.001）和心脏病（OR：0.244，95%CI：0.074-0.799；p=0.02）与更高的死亡率相关。根据多变量和单变量分析确定的危险因素（主要是呼吸困难）对患者进行分类，对于帮助确定住院优先级和最终降低死亡风险的策略至关重要。
