从COVID-19后的情况学习疫情准备:未来急性感染后综合征的可变目录
Anna Górska1, Lorenzo Maria Canziani1, Eugenia Rinaldi2
1Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
标准化数据收集对于在流行病后管理未来的急性后感染综合征 (PAIS) 至关重要. 一个新的数据目录将改善对新出现的传染病的诊断,治疗和准备.
科学领域:
- 公共卫生 公共卫生
- 传染性疾病 传染性疾病
- 流行病学 流行病学
背景情况:
- 后COVID-19条件 (PCC) 强调需要更好地管理急性后感染综合征 (PAIS).
- 在COVID-19期间缺乏标准化数据,阻碍了PCC的及时诊断和治疗.
- 为应对未来与流行病相关的PAIS做好准备,需要积极的数据标准化.
研究的目的:
- 为收集临床和流行病学数据提出标准化变量目录.
- 为未来的PAIS研究利用从COVID-19大流行中学到的经验教训.
- 促进对新出现的感染进行未来的观察研究和临床试验的设计.
主要方法:
- 欧洲资助的COVID-19研究项目的COVID-19后状况研究数据的审查.
- 来自队列协调委员会的专业知识被用于开发数据目录.
- 从大流行中吸取的经验教训为拟议的变量目录提供了信息.
主要成果:
- 为PAIS研究开发了一个标准化的变量目录.
- 该目录是根据流行病经验编写的,旨在立即使用.
- 拟议的目录旨在改善对新出现的感染的数据收集.
结论:
- 早期实施PAIS数据目录对于加速PAIS的识别和管理至关重要.
- 标准化数据收集使得精确的综合征定义,加快诊断和优化治疗成为可能.
- 协调协议提高了全球研究工作中对新出现的感染和相关的PAIS的准备.
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