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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program.
Brannock, M Daniel; Chew, Robert F; Preiss, Alexander J; Hadley, Emily C; Redfield, Signe; McMurry, Julie A; Leese, Peter J; Girvin, Andrew T; Crosskey, Miles; Zhou, Andrea G; Moffitt, Richard A; Funk, Michele Jonsson; Pfaff, Emily R; Haendel, Melissa A; Chute, Christopher G.
Afiliação
  • Brannock MD; RTI International, Durham, NC, USA. mbrannock@rti.org.
  • Chew RF; RTI International, Durham, NC, USA.
  • Preiss AJ; RTI International, Durham, NC, USA.
  • Hadley EC; RTI International, Durham, NC, USA.
  • Redfield S; Patient-Led Research Collaborative, Pomfret, MD, USA.
  • McMurry JA; University of Colorado Anschutz Medical Campus, Denver, CO, USA.
  • Leese PJ; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Girvin AT; Palantir Technologies, Denver, CO, USA.
  • Crosskey M; CoVar Applied Technologies, Durham, NC, USA.
  • Zhou AG; iTHRIV, University of Virginia, Charlottesville, VA, USA.
  • Moffitt RA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
  • Funk MJ; Departments of Biomedical Informatics and Hematology and Medical Ontology, Emory University, Atlanta, GA, USA.
  • Pfaff ER; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Haendel MA; University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
  • Chute CG; University of Colorado Anschutz Medical Campus, Denver, CO, USA.
Nat Commun ; 14(1): 2914, 2023 05 22.
Article em En | MEDLINE | ID: mdl-37217471
ABSTRACT
Long COVID, or complications arising from COVID-19 weeks after infection, has become a central concern for public health experts. The United States National Institutes of Health founded the RECOVER initiative to better understand long COVID. We used electronic health records available through the National COVID Cohort Collaborative to characterize the association between SARS-CoV-2 vaccination and long COVID diagnosis. Among patients with a COVID-19 infection between August 1, 2021 and January 31, 2022, we defined two cohorts using distinct definitions of long COVID-a clinical diagnosis (n = 47,404) or a previously described computational phenotype (n = 198,514)-to compare unvaccinated individuals to those with a complete vaccine series prior to infection. Evidence of long COVID was monitored through June or July of 2022, depending on patients' data availability. We found that vaccination was consistently associated with lower odds and rates of long COVID clinical diagnosis and high-confidence computationally derived diagnosis after adjusting for sex, demographics, and medical history.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Risk_factors_studies Limite: Humans País/Região como assunto: America do norte Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos