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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
by
Redfield, Signe
, Girvin, Andrew T.
, Moffitt, Richard A.
, Zhou, Andrea G.
, Brannock, M. Daniel
, Crosskey, Miles
, Funk, Michele Jonsson
, Chute, Christopher G.
, Chew, Robert F.
, Pfaff, Emily R.
, Preiss, Alexander J.
, McMurry, Julie A.
, Leese, Peter J.
, Hadley, Emily C.
, Haendel, Melissa A.
in
631/326/596/4130
/ 692/699/255/2514
/ 692/700/459/1748
/ 692/700/478/174
/ Availability
/ Cohort analysis
/ Cohort Studies
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - prevention & control
/ COVID-19 Vaccines
/ Demographics
/ Diagnosis
/ Electronic health records
/ Electronic medical records
/ Humanities and Social Sciences
/ Humans
/ Immunization
/ Infections
/ Long COVID
/ multidisciplinary
/ Patients
/ Phenotypes
/ Post-Acute COVID-19 Syndrome
/ Public health
/ SARS-CoV-2
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ United States - epidemiology
/ Vaccination
2023
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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
by
Redfield, Signe
, Girvin, Andrew T.
, Moffitt, Richard A.
, Zhou, Andrea G.
, Brannock, M. Daniel
, Crosskey, Miles
, Funk, Michele Jonsson
, Chute, Christopher G.
, Chew, Robert F.
, Pfaff, Emily R.
, Preiss, Alexander J.
, McMurry, Julie A.
, Leese, Peter J.
, Hadley, Emily C.
, Haendel, Melissa A.
in
631/326/596/4130
/ 692/699/255/2514
/ 692/700/459/1748
/ 692/700/478/174
/ Availability
/ Cohort analysis
/ Cohort Studies
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - prevention & control
/ COVID-19 Vaccines
/ Demographics
/ Diagnosis
/ Electronic health records
/ Electronic medical records
/ Humanities and Social Sciences
/ Humans
/ Immunization
/ Infections
/ Long COVID
/ multidisciplinary
/ Patients
/ Phenotypes
/ Post-Acute COVID-19 Syndrome
/ Public health
/ SARS-CoV-2
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ United States - epidemiology
/ Vaccination
2023
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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
by
Redfield, Signe
, Girvin, Andrew T.
, Moffitt, Richard A.
, Zhou, Andrea G.
, Brannock, M. Daniel
, Crosskey, Miles
, Funk, Michele Jonsson
, Chute, Christopher G.
, Chew, Robert F.
, Pfaff, Emily R.
, Preiss, Alexander J.
, McMurry, Julie A.
, Leese, Peter J.
, Hadley, Emily C.
, Haendel, Melissa A.
in
631/326/596/4130
/ 692/699/255/2514
/ 692/700/459/1748
/ 692/700/478/174
/ Availability
/ Cohort analysis
/ Cohort Studies
/ Coronaviruses
/ COVID-19
/ COVID-19 - epidemiology
/ COVID-19 - prevention & control
/ COVID-19 Vaccines
/ Demographics
/ Diagnosis
/ Electronic health records
/ Electronic medical records
/ Humanities and Social Sciences
/ Humans
/ Immunization
/ Infections
/ Long COVID
/ multidisciplinary
/ Patients
/ Phenotypes
/ Post-Acute COVID-19 Syndrome
/ Public health
/ SARS-CoV-2
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ United States - epidemiology
/ Vaccination
2023
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Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
Journal Article
Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program
2023
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Overview
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.
The extent to which COVID-19 vaccination protects against long COVID is not well understood. Here, the authors use electronic health record data from the United States and find that, for people who received their vaccination prior to infection, vaccination was associated with lower incidence of long COVID.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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