Journal article
Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study
BMC public health, Vol.23(1), 2103
10/25/2023
DOI: 10.1186/s12889-023-16916-w
PMCID: PMC10601201
PMID: 37880596
Abstract
Background
More than one-third of individuals experience post-acute sequelae of SARS-CoV-2 infection (PASC, which includes long-COVID). The objective is to identify risk factors associated with PASC/long-COVID diagnosis.
Methods
This was a retrospective case–control study including 31 health systems in the United States from the National COVID Cohort Collaborative (N3C). 8,325 individuals with PASC (defined by the presence of the International Classification of Diseases, version 10 code U09.9 or a long-COVID clinic visit) matched to 41,625 controls within the same health system and COVID index date within ± 45 days of the corresponding case's earliest COVID index date. Measurements of risk factors included demographics, comorbidities, treatment and acute characteristics related to COVID-19. Multivariable logistic regression, random forest, and XGBoost were used to determine the associations between risk factors and PASC.
Results
Among 8,325 individuals with PASC, the majority were > 50 years of age (56.6%), female (62.8%), and non-Hispanic White (68.6%). In logistic regression, middle-age categories (40 to 69 years; OR ranging from 2.32 to 2.58), female sex (OR 1.4, 95% CI 1.33–1.48), hospitalization associated with COVID-19 (OR 3.8, 95% CI 3.05–4.73), long (8–30 days, OR 1.69, 95% CI 1.31–2.17) or extended hospital stay (30 + days, OR 3.38, 95% CI 2.45–4.67), receipt of mechanical ventilation (OR 1.44, 95% CI 1.18–1.74), and several comorbidities including depression (OR 1.50, 95% CI 1.40–1.60), chronic lung disease (OR 1.63, 95% CI 1.53–1.74), and obesity (OR 1.23, 95% CI 1.16–1.3) were associated with increased likelihood of PASC diagnosis or care at a long-COVID clinic. Characteristics associated with a lower likelihood of PASC diagnosis or care at a long-COVID clinic included younger age (18 to 29 years), male sex, non-Hispanic Black race, and comorbidities such as substance abuse, cardiomyopathy, psychosis, and dementia. More doctors per capita in the county of residence was associated with an increased likelihood of PASC diagnosis or care at a long-COVID clinic. Our findings were consistent in sensitivity analyses using a variety of analytic techniques and approaches to select controls.
Conclusions
This national study identified important risk factors for PASC diagnosis such as middle age, severe COVID-19 disease, and specific comorbidities. Further clinical and epidemiological research is needed to better understand underlying mechanisms and the potential role of vaccines and therapeutics in altering PASC course.
Details
- Title: Subtitle
- Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study
- Creators
- Elaine L. Hill - University of Rochester Medical CenterHemalkumar B. Mehta - Bloomberg (United States)Suchetha Sharma - University of VirginiaKlint Mane - University of RochesterSharad Kumar Singh - University of RochesterCatherine Xie - University of RochesterEmily Cathey - University of VirginiaJohanna Loomba - University of VirginiaSeth Russell - University of Colorado DenverHeidi Spratt - The University of Texas Medical Branch at GalvestonPeter E. DeWitt - University of Colorado DenverNariman Ammar - University of Tennessee Health Science CenterCharisse Madlock-Brown - 930 Madison Avenue 6Th Floor, Memphis, TN 38163 USADonald Brown - University of VirginiaJulie A. McMurry - University of Colorado DenverChristopher G. Chute - Johns Hopkins UniversityMelissa A. Haendel - University of Colorado DenverRichard Moffitt - Stony Brook UniversityEmily R. Pfaff - University of North Carolina at Chapel HillTellen D. Bennett - University of Colorado Denver
- Resource Type
- Journal article
- Publication Details
- BMC public health, Vol.23(1), 2103
- DOI
- 10.1186/s12889-023-16916-w
- PMID
- 37880596
- PMCID
- PMC10601201
- NLM abbreviation
- BMC Public Health
- ISSN
- 1471-2458
- eISSN
- 1471-2458
- Publisher
- BioMed Central
- Grant note
- U24 TR002306 / ; K01AG070329 / ; OTA OT2HL161847 / ;
- Language
- English
- Date published
- 10/25/2023
- Academic Unit
- Nursing
- Record Identifier
- 9984501659902771
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