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尼日利亚拉各斯州主动病例搜索期间 COVID-19 症状学的预测能力

Predictive ability of symptomatology in COVID-19 during Active case search in Lagos State, Nigeria.

作者信息

Onasanya Oluwatosin, Adebayo Bisola, Okunromade Ladun, Abayomi Akin, Idris Jide, Adesina Abdulsalam, Aina Olugbemiga, Zamba Emmanuella, Erinosho Olufemi, Bowale Bimbola, Opawoye Folarin, Ramadan Patrick, Yenyi Sam, Omilabu Sunday, Balogun Shakir, Osibogun Akin

机构信息

Lagos State Primary Healthcare Board, Lagos, Nigeria.

Lagos State University College of Medicine, Lagos, Nigeria.

出版信息

Niger Postgrad Med J. 2020 Oct-Dec;27(4):280-284. doi: 10.4103/npmj.npmj_237_20.

Abstract

BACKGROUND

In April 2020, a community-based active case search surveillance system of coronavirus disease 2019 (COVID-19) was developed by the emergency outbreak committee in Lagos State. This followed the evidence of community transmission of coronavirus disease in the twenty Local Government Areas in Lagos State. This study assessed the value of respiratory and other symptoms in predicting positive SARS-CoV-2 using reverse transcription-polymerase chain reaction (RT-PCR). It is hoped that if symptoms are predictive, they can be used in screening before testing.

METHODS

Communities were included based on the alerts from community members through the rumour alert system set up by the state. All members of the households of the communities from where the alert came were eligible. Household members who declined to participate were excluded from the study. A standardised interviewer-administered electronic investigation form was used to collect sociodemographic information, clinical details and history for each possible case. Data was analysed to see the extent of agreement or correlation between reported symptoms and the results of PCR testing for SARS-COV-2.

RESULTS

A total of 12,739 persons were interviewed. The most common symptoms were fever, general weakness, cough and difficulty in breathing. Different symptoms recorded different levels of sensitivity as follows: fever, 28.9%; cough, 21.7%; general body weakness, 10.9%; and sore throat, 10.9%. Sensitivity and specificity for fever, the most common symptom, were 28.3% and 50.2%, respectively, while similar parameters for general body weakness, the next most common symptom, were 10.9% and 73.2%, respectively.

CONCLUSION

From these findings, the predictive ability of symptoms for COVID-19 diagnosis was extremely weak. It is unlikely that symptoms alone will suffice to predict COVID-19 in a patient. An additional measure, such as confirmatory test by RT-PCR testing, is necessary to confirm the disease.

摘要

背景

2020年4月,拉各斯州应急疫情委员会建立了一个基于社区的2019冠状病毒病(COVID-19)主动病例搜索监测系统。这是基于拉各斯州20个地方政府辖区内冠状病毒病社区传播的证据而开展的。本研究评估了呼吸道症状和其他症状在使用逆转录聚合酶链反应(RT-PCR)预测严重急性呼吸综合征冠状病毒2(SARS-CoV-2)阳性方面的价值。人们希望,如果症状具有预测性,那么它们可用于检测前的筛查。

方法

根据社区成员通过该州设立的谣言警报系统发出的警报纳入社区。警报所来自社区的所有家庭的成员均符合条件。拒绝参与的家庭成员被排除在研究之外。使用标准化的由访谈员管理的电子调查问卷收集每个可能病例的社会人口统计学信息、临床细节和病史。对数据进行分析,以观察报告的症状与SARS-CoV-2 PCR检测结果之间的一致程度或相关性。

结果

共对12,739人进行了访谈。最常见的症状是发热、全身乏力、咳嗽和呼吸困难。记录的不同症状有不同程度的敏感性,如下所示:发热为28.9%;咳嗽为21.7%;全身乏力为10.9%;喉咙痛为10.9%。最常见症状发热的敏感性和特异性分别为28.3%和50.2%,而第二常见症状全身乏力的类似参数分别为10.9%和73.2%。

结论

根据这些发现,症状对COVID-19诊断的预测能力极其微弱。仅靠症状不太可能足以预测患者是否感染COVID-19。需要额外的措施,如通过RT-PCR检测进行确诊试验,来确诊该病。

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