A Bayesian Survival Analysis on Long COVID and non Long COVID patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data

Author:

Jiang Sihang,Loomba Johanna,Zhou Andrea,Sharma Suchetha,Sengupta SauravORCID,Liu Jiebei,Brown Donald

Abstract

AbstractSince 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.

Publisher

Cold Spring Harbor Laboratory

Reference30 articles.

1. Long COVID or Post-COVID Conditions. U.S. Department of Health and Human Services, CDC (2021). https://www.cdc.gov/coronavirus/2019-ncov/long-term-effects/

2. New ICD-10-CM code for Post-COVID Conditions, following the 2019 Novel Coronavirus (COVID-19). U.S. Department of Health and Human Services, CDC (2021). https://www.cdc.gov/nchs/data/icd/announcement-new-icd-code-for-post-covid-condition-april-2022-final.pdf

3. The national covid cohort collaborative (n3c): rationale, design, infrastructure, and deployment;Journal of the American Medical Informatics Association,2021

4. Hill, E.L. , Mehta, H.B. , Sharma, S. , Mane, K. , Xie, C. , Cathey, E. , Loomba, J. , Russell, S. , Spratt, H. , DeWitt, P.E. , et al.: Risk factors associated with postacute sequelae of sars-cov-2 in an ehr cohort: A national covid cohort collaborative (n3c) analysis as part of the nih recover program. medRxiv, 2022–08 (2022)

5. Coding long covid: characterizing a new disease through an icd-10 lens;BMC medicine,2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3