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Long COVID Risk and Pre-COVID Vaccination: An EHR-Based Cohort Study from the RECOVER Program.
Brannock, M Daniel; Chew, Robert F; Preiss, Alexander J; Hadley, Emily C; 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, US.
  • Chew RF; RTI International, Durham, NC, US.
  • Preiss AJ; RTI International, Durham, NC, US.
  • Hadley EC; RTI International, Durham, NC, US.
  • McMurry JA; University of Colorado Anschutz Medical Campus, Denver, CO, US.
  • Leese PJ; University of North Carolina at Chapel Hill, Chapel Hill, NC, US.
  • Girvin AT; Palantir Technologies, Denver, CO, US.
  • Crosskey M; CoVar Applied Technologies, Durham, NC, US.
  • Zhou AG; University of Virginia, Charlottesville, VA, US.
  • Moffitt RA; Stony Brook University, Stony Brook, NY, US.
  • Funk MJ; University of North Carolina at Chapel Hill, Chapel Hill, NC, US.
  • Pfaff ER; University of North Carolina at Chapel Hill, Chapel Hill, NC, US.
  • Haendel MA; University of Colorado Anschutz Medical Campus, Denver, CO, US.
  • Chute CG; Johns Hopkins University, Baltimore, MD, US.
medRxiv ; 2022 Oct 07.
Article em En | MEDLINE | ID: mdl-36238713
ABSTRACT
Importance Characterizing the effect of vaccination on long COVID allows for better healthcare recommendations.

Objective:

To determine if, and to what degree, vaccination prior to COVID-19 is associated with eventual long COVID onset, among those a documented COVID-19 infection. Design Settings and

Participants:

Retrospective cohort study of adults with evidence of COVID-19 between August 1, 2021 and January 31, 2022 based on electronic health records from eleven healthcare institutions taking part in the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative, a project of the National Covid Cohort Collaborative (N3C). Exposures Pre-COVID-19 receipt of a complete vaccine series versus no pre-COVID-19 vaccination. Main Outcomes and

Measures:

Two approaches to the identification of long COVID were used. In the clinical diagnosis cohort (n=47,752), ICD-10 diagnosis codes or evidence of a healthcare encounter at a long COVID clinic were used. In the model-based cohort (n=199,498), a computable phenotype was used. The association between pre-COVID vaccination and long COVID was estimated using IPTW-adjusted logistic regression and Cox proportional hazards.

Results:

In both cohorts, when adjusting for demographics and medical history, pre-COVID vaccination was associated with a reduced risk of long COVID (clinic-based cohort HR, 0.66; 95% CI, 0.55-0.80; OR, 0.69; 95% CI, 0.59-0.82; model-based cohort HR, 0.62; 95% CI, 0.56-0.69; OR, 0.70; 95% CI, 0.65-0.75). Conclusions and Relevance Long COVID has become a central concern for public health experts. Prior studies have considered the effect of vaccination on the prevalence of future long COVID symptoms, but ours is the first to thoroughly characterize the association between vaccination and clinically diagnosed or computationally derived long COVID. Our results bolster the growing consensus that vaccines retain protective effects against long COVID even in breakthrough infections. Key Points Question Does vaccination prior to COVID-19 onset change the risk of long COVID diagnosis?

Findings:

Four observational analyses of EHRs showed a statistically significant reduction in long COVID risk associated with pre-COVID vaccination (first cohort HR, 0.66; 95% CI, 0.55-0.80; OR, 0.69; 95% CI, 0.59-0.82; second cohort HR, 0.62; 95% CI, 0.56-0.69; OR, 0.70; 95% CI, 0.65-0.75).Meaning Vaccination prior to COVID onset has a protective association with long COVID even in the case of breakthrough infections.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: MedRxiv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos