Influence of Prior SARS-CoV-2 Infection on COVID-19 Severity: Evidence from the National COVID Cohort Collaborative
Background: As SARS-CoV-2 has transitioned from a pandemic to endemic disease, the majority of new infections have been among previously infected individuals. To manage the risks and benefits of ongoing COVID-19 policies, it is important to understand whether prior infection modifies the severity of subsequent infections. Methods: We used data from first and second COVID-19 episodes in the National COVID Cohort Collaborative (N3C), a collection of health systems who provide de-identified electronic health records for research purposes. Our analysis was a sequential series of nested trial emulations. In the first of two analytic stages, we created a month-specific model of the probability of prior infection for each individual. In the second stage, we used an ordinal logistic regression with inverse probability weights calculated in the first stage to simulate a series of monthly trials comparing severity between the cohorts of first and second infections. In addition to cohort-wide effect estimates, we also conducted analyses among race/ethnicity, sex, and age subgroups. Results: From an initial cohort of 7,446,481 combined first and second infections, we identified a cohort of 2,227,484 infections, among which 7.6% were second infections. Ninety-four percent of patients with two recorded infections experienced mild disease for both. The overall odds ratio (OR) for more severe disease with prior infection was 1.06 (95% confidence interval [CI]: 1.03 to 1.10). Monthly point estimates of the OR ranged from 0.56 (95% CI: 0.37 to 0.84) in October 2020 to 1.64 (95% CI: 1.33 to 2.00) in February 2023. In most subgroups, the effect of prior infection was significant. In 8 out of 10 subgroups, the maximum monthly OR occurred after the minimum monthly OR, suggesting that protection has waned throughout the pandemic. Conclusion: Overall, prior infection was associated with a significant slightly elevated risk of severe disease. This effect varied month to month. As the pandemic proceeded, the effect of prior infection tended to evolve from generally protective during the pre-Omicron era to unprotective during the Omicron era. This points to the need for continued strategies to avert and minimize the harms of COVID-19, rather than relying upon immunity acquired through previous infection. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This project was sponsored by an award from the National COVID Cohort Collaborative's Public Health Answers to Speed Tractable Results (PHASTR) program and the National Center for Advancing Translational Sciences (Award #NCATS-P00438-E-2). ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The study design was exempted from human subjects research review by the American Academy of Family Medicine institutional review board. I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes Data are available online through the National COVID Cohort Collaborative (https://ncats.nih.gov/n3c) with signed data use agreement and project approval.
