一项关于长期新冠患者和非长期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, 351 McCormick Rd, Charlottesville, 22904, VA, United States.

integrated Translational Health Research Institute of Virginia (iTHRIV), University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, 22903, VA, United States.

出版信息

medRxiv. 2024 Jun 25:2024.06.25.24309478. doi: 10.1101/2024.06.25.24309478.

DOI:10.1101/2024.06.25.24309478

PMID:38978664

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11230301/

Abstract

Since the outbreak of COVID-19 pandemic in 2020, numerous researches and studies have focused on the long-term effects of COVID infection. The Centers for Disease Control (CDC) implemented an additional code into the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) for reporting 'Post COVID-19 condition, unspecified (U09.9)' effective on October 1st 2021, representing that Long COVID is a real illness with potential chronic conditions. The National COVID Cohort Collaborative (N3C) provides researchers with abundant electronic health records (EHR) data by aggregating and harmonizing EHR data across different clinical organizations in the United States, making it convenient to build up a survival analysis on Long COVID patients and non Long COVID patients among large amounts of COVID positive patients.

摘要

自2020年新冠疫情爆发以来，众多研究都聚焦于新冠感染的长期影响。美国疾病控制中心（CDC）在《国际疾病分类第十次修订本，临床修订版》（ICD-10-CM）中新增了一个代码，用于报告“未特指的新冠后状况（U09.9）”，该代码于2021年10月1日起生效，这表明新冠长期症状是一种伴有潜在慢性病的真实疾病。美国国家新冠队列协作组织（N3C）通过整合和协调美国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，便于在大量新冠阳性患者中对新冠长期症状患者和非新冠长期症状患者进行生存分析。