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SARS-CoV-2 Reinfection is Preceded by Unique Biomarkers and Related to Initial Infection Timing and Severity: an N3C RECOVER EHR-Based Cohort Study.

Emily C HadleyYun Jae YooSaaya PatelAndrea G ZhouBryan LarawayRachel WongAlexander J PreissRobert F ChewHannah DavisChristopher G ChuteEmily Rose PfaffJohanna Jean LoombaMelissa A HaendelElaine L HillRichard A Moffittnull null
Published in: medRxiv : the preprint server for health sciences (2023)
Although the COVID-19 pandemic has persisted for over 2 years, reinfections with SARS-CoV-2 are not well understood. We use the electronic health record (EHR)-based study cohort from the National COVID Cohort Collaborative (N3C) as part of the NIH Researching COVID to Enhance Recovery (RECOVER) Initiative to characterize reinfection, understand development of Long COVID after reinfection, and compare severity of reinfection with initial infection. We validate previous findings of reinfection incidence (5.9%), the occurrence of most reinfections during the Omicron epoch, and evidence of multiple reinfections. We present novel findings that Long COVID diagnoses occur closer to the index date for infection or reinfection in the Omicron BA epoch. We report lower albumin levels leading up to reinfection and a statistically significant association of severity between first infection and reinfection (chi-squared value: 9446.2, p-value: 0) with a medium effect size (Cramer’s V: 0.18, DoF = 4).
Keyphrases
  • sars cov
  • electronic health record
  • coronavirus disease
  • respiratory syndrome coronavirus
  • quality improvement
  • risk assessment
  • clinical decision support