卡萨布兰卡 2019 年冠状病毒病(COVID-19)的流行病学、临床特征和风险因素。

Access Microbiology Pub Date : 2023-04-21 eCollection Date: 2023-01-01 DOI:10.1099/acmi.0.000400
Soulandi Djorwé, Amale Bousfiha, Néhémie Nzoyikorera, Victor Nkurunziza, Khadija Ait Mouss, Bellamine Kawthar, Abderrahim Malki
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引用次数: 0

摘要

这是一项基于 2020 年 11 月 1 日至 2021 年 3 月 31 日期间在卡萨布兰卡收集的数据开展的 2019 年冠状病毒病(COVID-19)横断面分析研究,重点关注该疾病的流行病学状况和风险因素。共收集了 4569 份样本,并通过反转录聚合酶链反应(RT-PCR)进行了分析;967 名患者呈阳性,代表严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)的流行率为 21.2%。平均年龄为(47.5±18)岁,感染者多为青壮年(P0.001)。对报告症状的评估显示,COVID-19 阳性患者中有 27% (261 人)出现味觉和/或嗅觉丧失,而 COVID-19 阴性患者中仅有 2% (72 人)出现这种情况(P0.001)。这一结果在单变量(OR=18.125)和多变量(调整后 OR=10.484)逻辑回归分析中是一致的,表明味觉和/或嗅觉丧失与 COVID-19 检测呈阳性的多变量调整后概率高出 10 倍以上有关(调整后 OR=10.48;P0.001)。基于临床体征的二元逻辑回归模型分析显示,味觉和/或嗅觉丧失的表现指数为 0.846,P0.001,证实了这一症状对预测 COVID-19 阳性状态的诊断作用。总之,症状评估和 RT-PCR [考虑到 PCR 代理的周期阈值 (C t) 值] 测试仍然是诊断 COVID-19 最有用的筛查工具。然而,味觉/嗅觉丧失、疲劳、发热和咳嗽仍是 COVID-19 阳性结果的最强独立预测因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.

Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.

Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.

Epidemiology, clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in Casablanca.

This is an analytical cross-sectional study of coronavirus disease 2019 (COVID-19) based on data collected between 1 November 2020 and 31 March 2021 in Casablanca focusing on the disease's epidemiological status and risk factors. A total of 4569 samples were collected and analysed by reverse-transcription polymerase chain reaction (RT-PCR); 967 patients were positive, representing a prevalence of 21.2 % for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The mean age was 47.5±18 years, and infection was more common in young adults (<60 years). However, all age groups were at risk of COVID-19, and in terms of disease severity, the elderly were at greater risk because of potential underlying health problems. Among the clinical signs reported in this study, loss of taste and/or smell, fever, cough and fatigue were highly significant predictors of a positive COVID-19 test result (P<0.001). An assessment of the reported symptoms revealed that 27 % of COVID-19-positive patients (n=261) experienced loss of taste and/or smell, whereas only 2 % (n=72) of COVID-19-negative patients did (P<0.001). This result was consistent between univariate (OR=18.125) and multivariate (adjusted OR=10.484) logistic regression analyses, indicating that loss of taste and/or smell is associated with a more than 10-fold higher multivariate adjusted probability of a positive COVID-19 test (adjusted OR=10.48; P<0.001). Binary logistic regression model analysis based on clinical signs revealed that loss of taste and/or smell had a performance index of 0.846 with a P<0.001, confirming the diagnostic utility of this symptom for the prediction of COVID-19-positive status. In conclusion, symptom evaluation and a RT-PCR [taking into account cycle threshold (C t) values of the PCR proxy] test remain the most useful screening tools for diagnosing COVID-19. However, loss of taste/smell, fatigue, fever and cough remain the strongest independent predictors of a positive COVID-19 result.

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