长新冠患者与非长新冠患者的贝叶斯生存分析：一项使用国家新冠队列协作组（N3C）数据的队列研究
A Bayesian Survival Analysis on Long COVID and Non-Long COVID Patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.
作者信息
Jiang Sihang, Loomba Johanna, Zhou Andrea, Sharma Suchetha, Sengupta Saurav, Liu Jiebei, Brown Donald
机构信息
School of Engineering and Applied Science, University of Virginia, Charlottesville, VA 22903, USA.
Integrated Translational Health Research Institute of Virginia (iTHRIV), University of Virginia, Charlottesville, VA 22903, USA.
出版信息
Bioengineering (Basel). 2025 May 7;12(5):496. doi: 10.3390/bioengineering12050496.
Since the outbreak of the COVID-19 pandemic in 2020, numerous studies have focused on the long-term effects of COVID infection. On 1 October 2021, the Centers for Disease Control (CDC) implemented a new code in the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) for reporting 'Post COVID-19 condition, unspecified (U09.9)'. This change indicated that the CDC recognized Long COVID as a real illness with associated chronic conditions. The National COVID Cohort Collaborative (N3C) provides researchers with abundant electronic health record (EHR) data by harmonizing EHR data across more than 80 different clinical organizations in the United States. This paper describes the creation of a COVID-positive N3C cohort balanced by the presence or absence of Long COVID (U09.9) and evaluates whether or not documented Long COVID (U09.9) is associated with decreased survival length.
自2020年新冠疫情爆发以来，众多研究聚焦于新冠感染的长期影响。2021年10月1日，美国疾病控制中心（CDC）在《国际疾病分类第十次修订版临床修订本》（ICD-10-CM）中实施了一个新编码，用于报告“未特定的新冠后状况（U09.9）”。这一变化表明，CDC认可“长新冠”是一种伴有相关慢性病的真实疾病。国家新冠队列协作组织（N3C）通过整合美国80多个不同临床机构的电子健康记录（EHR）数据，为研究人员提供了丰富的EHR数据。本文描述了一个根据是否存在“长新冠”（U09.9）进行平衡的新冠阳性N3C队列的创建过程，并评估记录在案的“长新冠”（U09.9）是否与生存长度缩短相关。
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