Rapid implementation of cross-sectional study: Post-acute sequelae of SARS-CoV-2 (PASC) in a racially and ethnically diverse sample in Illinois
Mermelstein, R. J.; Aiyer, M.; Canfield, C.; Chestek, D.; Cook, J. A.; Del Rios, M.; Diviak, K. R.; Ellison, A. M.; Gordon, H. S.; Illendula, S. D.; Kandula, M.; Klein, J. D.; Larimer, K.; Lash, J.; Lin, J.; Loeb, J. A.; Lynch, T. J.; Musick, H.; Novak, R. M.; Prendergast, H. M.; Krishnan, J. A.
Show abstract
Little is known about the pattern and course of recovery following acute COVID-19. Increasing numbers of reports describe persistent illness following infection with SARS-COV-2, also known as Post-Acute Sequelae of SARS-CoV-2 (PASC). This report describes the methods and results of a multi-pronged strategy to rapidly identify and enroll, over a one week period in April 2021, a racially and ethnically diverse sample of individuals and to characterize PASC among a this diverse sample. Participants were recruited through community outreach, clinical registries, and research registries across four cities in Illinois to complete an online survey. We examined presence of symptoms among 246 individuals who were at least three months past testing positive for SARS-CoV-2. Respondents were 70% female; 48% Hispanic/Latinx; 18% Black, and 28% White. Most had mild illness (78% were not hospitalized), and 26% reported they had not yet returned to their usual health within 3 months of their diagnosis. The most prevalent symptoms persisting 3-months following COVID-19 diagnosis included fatigue (20%), difficulty thinking (19%), problems with taste or smell (15%), and muscle or body aches (15%). In a multivariable logistic regression model, older age (40-59 vs. 18-39 years: adjusted odds ratio [aOR] = 0.46 [95% confidence interval, 0.24 to 0.90]) and having been hospitalized with COVID-19 (vs. not hospitalized: aOR = 0.28 [0.12 to 0.64]) were independently associated with a lower likelihood of recovery within 3 months. Compromised health continued well beyond the acute phase of COVID-19 in our ethnically diverse sample, especially among older individuals and those who were hospitalized. The partnerships with community- and faith-based organizations developed for the current study offer the potential to broadly disseminate study findings and to further understand and mitigate underlying determinants of risk, severity, and duration of PASC.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Study protocol for the Innovative Support for Patients with SARS-COV-2 Infections Registry (INSPIRE): a longitudinal study of the medium and long-term sequelae of SARS-CoV-2 infection 96%
- The COVID-19 health equity twindemic: Statewide epidemiologic trends of SARS-CoV-2 outcomes among racial minorities and in rural America 94%
- The association between prolonged SARS-CoV-2 symptoms and work outcomes 94%
Similar papers in this journal
- Cohort Profile: A national prospective cohort study of SARS-CoV-2 pandemic outcomes in the U.S. - The CHASING COVID Cohort Study 97%
- Prevalence and determinants of persistent symptoms after infection with SARS-CoV-2: Protocol for an observational cohort study (LongCOVID-study) 94%
- The Basel Long COVID Cohort Study (BALCoS): protocol of a prospective cohort study 94%
Similar papers in this journal
- High proportion of post-acute sequelae of SARS-CoV-2 infection in individuals 1-6 months after illness and association with disease severity in an outpatient telemedicine population 96%
- Demographic disparities in clinical outcomes of COVID-19: data from a statewide cohort in South Carolina 96%
- Factors Associated with Long Covid Symptoms in an Online Cohort Study 95%
Similar papers in this journal
- Listening to older voices: Results of a cross-sectional survey of older patient-reported experiences of facility-based healthcare in Nouna, Burkina Faso 93%
- Social support and ideal cardiovascular health in urban Jamaica: a cross-sectional study 93%
- Predicting Mobile Health Clinic Utilization for COVID-19 Vaccination in South Carolina: A Statistical Framework for Strategic Resource Allocation 92%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.