TY - JOUR
T1 - Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
AU - N3C
AU - RECOVER Consortia
AU - Brannock, M. Daniel
AU - Chew, Robert F.
AU - Preiss, Alexander J.
AU - Hadley, Emily C.
AU - Redfield, Signe
AU - McMurry, Julie A.
AU - Leese, Peter J.
AU - Girvin, Andrew T.
AU - Crosskey, Miles
AU - Zhou, Andrea G.
AU - Moffitt, Richard A.
AU - Funk, Michele Jonsson
AU - Pfaff, Emily R.
AU - Haendel, Melissa A.
AU - Chute, Christopher G.
AU - Stürmer, Til
AU - Loomba, Johanna J.
AU - Koraishy, Farrukh M.
AU - Divers, Jasmin
AU - Thorpe, Lorna E.
AU - Horwitz, Leora
AU - Katz, Stuart
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85159793515
U2 - 10.1038/s41467-023-38388-7
DO - 10.1038/s41467-023-38388-7
M3 - Article
C2 - 37217471
AN - SCOPUS:85159793515
SN - 2041-1723
VL - 14
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 2914
ER -