• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Ann Epidemiol . The impact of COVID-19 vaccination prior to SARS-CoV-2 infection on prevalence of long COVID among a population-based probability sa

tetano

Editor, Senior Moderator
Ann Epidemiol


. 2024 Feb 19:S1047-2797(24)00031-0.
doi: 10.1016/j.annepidem.2024.02.007. Online ahead of print. The impact of COVID-19 vaccination prior to SARS-CoV-2 infection on prevalence of long COVID among a population-based probability sample of Michiganders, 2020-2022

Colleen MacCallum-Bridges[SUP] 1 [/SUP], Jana L Hirschtick[SUP] 2 [/SUP], Akash Patel[SUP] 3 [/SUP], Robert C Orellana[SUP] 4 [/SUP], Michael R Elliott[SUP] 5 [/SUP], Nancy L Fleischer[SUP] 6 [/SUP]



Affiliations
Abstract

Purpose: To estimate the association between COVID-19 vaccination status at the time of COVID-19 onset and long COVID prevalence.
Methods: We used data from the Michigan COVID-19 Recovery Surveillance Study, a population-based probability sample of adults with COVID-19 (n=4,695). We considered 30-day and 90-day long COVID (illness duration ≥30 or ≥90 days, respectively), using Poisson regression to estimate prevalence ratios (PRs) comparing vaccinated (completed an initial series ≥14 days before COVID-19 onset) to unvaccinated individuals (received 0 doses before COVID-19 onset), accounting for differences in age, sex, race and ethnicity, education, employment, health insurance, and rurality/urbanicity. The full unvaccinated comparison group was further divided into historic and concurrent comparison groups based on timing of COVID-19 onset relative to vaccine availability. We used inverse probability of treatment weights to account for sociodemographic differences between groups.
Results: Compared to the full unvaccinated comparison group, the adjusted prevalence of 30-day and 90-day long COVID were lower among vaccinated individuals [PR[SUB]30-day[/SUB]=0.57(95%CI:0.49,0.66); PR[SUB]90-day[/SUB]=0.42(95%CI:0.34,0.53)]. Estimates were consistent across comparison groups (full, historic, and concurrent).
Conclusions: Long COVID prevalence was 40-60% lower among adults vaccinated (vs. unvaccinated) prior to their COVID-19 onset. COVID-19 vaccination may be an important tool to reduce the burden of long COVID.

Keywords: Cardiovascular disease; EHR; Centers for Disease Control and Prevention; CI; Chronic obstructive pulmonary disease; COVID-19; Confidence interval; COPD; Coronavirus disease 2019; CVD; Electronic health record; IPTW; Inverse probability of treatment weight; MDSS; Messenger ribonucleic acid; NH; Michigan COVID-19 Recovery Surveillance Study; mRNA; Michigan Disease Surveillance System; MI CReSS; Non-Hispanic; PCR; Polymerase chain reaction; PR; Post-acute COVID-19 syndrome; COVID-19; COVID-19 vaccines; Population-based ABBREVIATIONS AND ACRONYMS: CDC; Prevalence ratio; US; United States; WHO World Health Organization..

 
Back
Top Bottom