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A Bayesian Survival Analysis on Long COVID and non Long COVID patients: A Cohort Study Using National COVID Cohort Collaborative (N3C) Data.
Jiang, Sihang; Loomba, Johanna; Zhou, Andrea; Sharma, Suchetha; Sengupta, Saurav; Liu, Jiebei; Brown, Donald.
Afiliação
  • Jiang S; School of Engineering and Applied Science, University of Virginia, 351 McCormick Rd, Charlottesville, 22904, VA, United States.
  • Loomba J; integrated Translational Health Research Institute of Virginia (iTHRIV), University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, 22903, VA, United States.
  • Zhou A; integrated Translational Health Research Institute of Virginia (iTHRIV), University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, 22903, VA, United States.
  • Sharma S; School of Data Science, University of Virginia, 3 Elliewood Ave, Charlottesville, 22903, VA, United States.
  • Sengupta S; School of Data Science, University of Virginia, 3 Elliewood Ave, Charlottesville, 22903, VA, United States.
  • Liu J; School of Engineering and Applied Science, University of Virginia, 351 McCormick Rd, Charlottesville, 22904, VA, United States.
  • Brown D; integrated Translational Health Research Institute of Virginia (iTHRIV), University of Virginia, 560 Ray C. Hunt Drive, Charlottesville, 22903, VA, United States.
medRxiv ; 2024 Jun 25.
Article em En | MEDLINE | ID: mdl-38978664
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article