Nat Med:基于症状的Covid-19的预测模型

2020-05-17 MedSci MedSci原创

个人通过手机APP报告症状也许可以预测是否感染了Covid-19。5月11日在《Nature Medicine》刊登的一项研究中,研究者开发了一个公式来预测用户是否患Covid-19。

5月11日在《Nature Medicine》刊登的一项研究中,研究者开发了一个公式来预测用户是否患Covid-19,研究显示,嗅觉和味觉丧失似乎是Covid-19最明显的指征之一。个人通过手机APP报告症状也许可以预测是否感染了Covid-19。梅斯医学将此模型开发成为手机应用,可以直接下载梅斯医学APP使用,或在此在线使用:基于临床症状的新冠肺炎(COVID-19)预测模型

该研究的主要作者Tim Spector表示,嗅觉和味觉的丧失是“大多数其他疾病都不会出现的奇特症状,因此具有特异性”。

这项研究回顾分析了美国和英国超过250万人的自我报告数据。参与者在一个APP中每天记录自己的症状,是否住院,患病史以及是否接受过SARS-CoV-2感染检测。3月24日至4月21日期间,超过18,000人提供了COVID-19诊断检测结果。

在7,178名检测结果呈阳性的参与者中,有4,668人(65%)报告嗅觉和味觉丧失。检测结果阴性的参与者中约有20%的人报告嗅觉和味觉丧失。

研究人员分析了来自英国用户的所有数据,找出与COVID-19具有强相关性的独立症状,并调整了年龄,性别和BMI因素。结果显示,味觉和嗅觉障碍、严重疲劳、持续性咳嗽和食欲不振是预测SARS-CoV-2感染的最佳指标

研究团队利用这些临床症状信息开发了一个公式来预测用户是否患病,并将其应用于提交了症状报告的800,000多名用户中。根据这个公式,大约140,000名参与者可能已患COVID-19。

该模型在英国测试发现,它的预测敏感性为0.65 (0.62–0.67), 特异性为 0.78 (0.76–0.80), ROC曲线下面积(AUC)为 0.76 (0.74–0.78), 阳性预测值为0.69 (0.66–0.71) ,阴性预测值为 0.75(0.73–0.77). 通过15638例人群交叉验证发现,其AUC为 0.75 (0.74–0.76) 。表明本模型具有较好的预测价值。

这项新研究的结果表明,嗅觉和味觉丧失应该与发热、咳嗽一样,是Covid-19患者的常见症状。该研究结果还提示,嗅觉和味觉丧失可帮助确定哪些患者应该接受SARS-CoV-2检测的筛查。与此前WHO表示,嗅觉和味觉丧失是SARS-CoV-2感染的较不常见症状不一致,相反在模型中,嗅觉和味觉丧失是最重要的因素。

在线使用:基于临床症状的新冠肺炎(COVID-19)预测模型

原始出处:

Menni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, Ganesh S, Varsavsky T, Cardoso MJ, El-Sayed Moustafa JS, Visconti A, Hysi P, Bowyer RCE, Mangino M, Falchi M, Wolf J, Ourselin S, Chan AT, Steves CJ, Spector TD. Real-time tracking of self-reported symptoms to predict potential COVID-19. Nat Med. 2020 May 11. doi: 10.1038/s41591-020-0916-2

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    2020-05-21 liye789132251
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    2020-05-19 智慧医人
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    2020-05-18 CHANGE

    梅斯里提供了很多疾病的模型计算公式,赞一个!

    0

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