症状在COVID-19诊断模型中的预测作用:一个纵向洞察力
Olivia Bird1,2, Eva P Galiza1, David Neil Baxter3
1Vaccine Institute, St. George's University of London, St. George's University Hospitals National Health Service Foundation Trust, London, United Kingdom.
Epidemiology and infection
|January 22, 2024
概括
嗅觉或味觉丧失 (无闻症/老年症) 和发烧是SARS-CoV-2感染的关键指标,但随着时间的推移,感染者和非感染者之间的症状显著不同.
科学领域:
- 传染性疾病 传染性疾病
- 流行病学 流行病学
- 病毒学 病毒学
背景情况:
- 了解确切的症状及其时间进展对于诊断SARS-CoV-2 (导致COVID-19的病毒) 至关重要.
- 以前的研究通常依赖于回顾性数据,可能引入回忆偏差.
- 在英国占主导地位的阿尔法变异呈现出独特的症状特征.
研究的目的:
- 以前性分析SARS-CoV-2感染的症状,它们的动态及其诊断价值.
- 开发基于实时症状报告的SARS-CoV-2感染的最佳诊断模型.
- 为了区分SARS-CoV-2阳性和阴性个体之间的症状模式.
主要方法:
- 从英国大型COVID-19疫苗第三阶段试验的纵向,前性数据收集.
- 在多个时间点进行症状评估和SARS-CoV-2 PCR测试.
- 统计建模以估计人口患病率并确定显著的症状关联.
主要成果:
- 在4个月内,SARS-CoV-2的患病率为2.1%.
- 无呼吸症/老年症和食欲丧失显著增加了SARS-CoV-2的流行率.
- 厌氧/老年症,发烧,塞血和咳与感染有显著的关联;然而,厌氧/老年症的高峰期较晚 (12日),限制了其早期诊断效用.
结论:
- 在SARS-CoV-2阳性和阴性个体之间,症状动态显著不同.
- 虽然某些症状,如厌氧症/衰老症与感染有很强的联系,但它们的晚发会影响早期诊断.
- 衍生出的诊断模型强调了识别SARS-CoV-2感染的关键症状.
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