预测SARS-CoV-2传染性开始和持续时间的症状:一个社区队列研究
Seran Hakki1, Kieran J Madon1, Sean Nevin1
1NIHR Health Protection Research Unit in Respiratory Infections, National Heart and Lung Institute, Imperial College London, London, UK.
概括
COVID-19病毒载荷动态与症状的时间和严重程度相关. 高的病毒载荷预示着长期的疾病,上呼吸道症状可以表明感染性开始.
科学领域:
- 病毒学 病毒学
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 上呼吸道 (URT) SARS-CoV-2病毒载荷 (VL) 动力学影响COVID-19的临床过程.
- 病毒载荷动力学与症状呈现之间的关系尚不清楚.
- 假设:VL动力学会影响社区病例中的症状时间,强度和持续时间.
研究的目的:
- 研究SARS-CoV-2病毒载荷动力学与社区获得的COVID-19中的症状呈现之间的关系.
- 为了确定基于症状的标志物,预测感染性和长期疾病.
主要方法:
- 预期社区队列研究,每天使用URT片进行VL量化和每日症状日记28天.
- 使用复合症状负担得分 (SBS) 总结症状数据.
- 定量病毒培养用于评估在一小部分病例中的传染性病毒分泌.
主要成果:
- 峰值病毒载量 (pVL) 日与峰值症状负担得分 (pSBS) 日相关.
- 非常高的pVL (>170,000,000RNA拷贝/毫升) 与长期疾病 (症状≥3周) 有关.
- 在感染性开始时URT症状升级;系统性症状,特别是肌肉疼痛,与长时间的感染性相关.
结论:
- pSBS的时间与pVL一致,高的pVL预测症状持续时间长.
- URT症状升级可能表明感染性开始,而全身症状可能表明长期感染性.
- 这些发现支持基于症状的感染性标志物,并为病原体监测的公共卫生策略提供信息.
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