Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program [preprint]
Hill, Elaine ; Mehta, Hemal ; Sharma, Suchetha ; Mane, Klint ; Xie, Catherine ; Cathey, Emily ; Loomba, Johanna ; Russell, Seth ; Spratt, Heidi ; DeWitt, Peter E ... show 9 more
Citations
Authors
Mehta, Hemal
Sharma, Suchetha
Mane, Klint
Xie, Catherine
Cathey, Emily
Loomba, Johanna
Russell, Seth
Spratt, Heidi
DeWitt, Peter E
Ammar, Nariman
Madlock-Brown, Charisse
Brown, Donald
McMurry, Julie A
Chute, Christopher G
Haendel, Melissa A
Moffitt, Richard
Pfaff, Emily R
Bennett, Tellen D
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Document Type
Publication Date
Keywords
Subject Area
Files
Embargo Expiration Date
Link to Full Text
Abstract
Background: More than one-third of individuals experience post-acute sequelae of SARS-CoV-2 infection (PASC, which includes long-COVID).
Objective: To identify risk factors associated with PASC/long-COVID.
Design: Retrospective case-control study.
Setting: 31 health systems in the United States from the National COVID Cohort Collaborative (N3C).
Patients: 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.
Measurements: Risk factors included demographics, comorbidities, and 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 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.
Source
Hill E, Mehta H, Sharma S, Mane K, Xie C, Cathey E, Loomba J, Russell S, Spratt H, DeWitt PE, Ammar N, Madlock-Brown C, Brown D, McMurry JA, Chute CG, Haendel MA, Moffitt R, Pfaff ER, Bennett TD; RECOVER Consortium. Risk Factors Associated with Post-Acute Sequelae of SARS-CoV-2 in an EHR Cohort: A National COVID Cohort Collaborative (N3C) Analysis as part of the NIH RECOVER program. medRxiv [Preprint]. 2022 Aug 17:2022.08.15.22278603. doi: 10.1101/2022.08.15.22278603. PMID: 36032983; PMCID: PMC9413724.
Year of Medical School at Time of Visit
Sponsors
Dates of Travel
DOI
Permanent Link to this Item
PubMed ID
Other Identifiers
Notes
This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.