Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from the RECOVER initiative

Author:

L Mandel Hannah1ORCID,Colleen Gunnar1,Abedian Sajjad2,Ammar Nariman3,Charles Bailey L4,Bennett Tellen D5ORCID,Daniel Brannock M6ORCID,Brosnahan Shari B7ORCID,Chen Yu1,Chute Christopher G8ORCID,Divers Jasmin9,Evans Michael D10,Haendel Melissa11,Hall Margaret A12,Hirabayashi Kathryn4,Hornig Mady13ORCID,Katz Stuart D14,Krieger Ana C15,Loomba Johanna16,Lorman Vitaly4ORCID,Mazzotti Diego R17ORCID,McMurry Julie11,Moffitt Richard A12ORCID,Pajor Nathan M18,Pfaff Emily19ORCID,Radwell Jeff1,Razzaghi Hanieh4,Redline Susan20ORCID,Seibert Elle21,Sekar Anisha,Sharma Suchetha16,Thaweethai Tanayott2223ORCID,Weiner Mark G24ORCID,Jae Yoo Yun12ORCID,Zhou Andrea16,Thorpe Lorna E1

Affiliation:

1. Department of Population Health, New York University Grossman School of Medicine , New York, NY , USA

2. Information Technologies and Services Department, Weill Cornell Medicine , New York, NY , USA

3. Department of Pediatrics, University of Tennessee Health Science Center College of Medicine Memphis , Memphis, TN , USA

4. Applied Clinical Research Center, The Children’s Hospital of Philadelphia , Philadelphia, PA , USA

5. Department of Pediatrics, Children’s Hospital Colorado , Aurora, CO , USA

6. Center for Data Science and AI, RTI International , Durham, NC , USA

7. Division of Pulmonary, Department of Medicine, Critical Care and Sleep Medicine, NYU Langone Health , New York, NY , USA ¸

8. Department of Medicine, Johns Hopkins School of Medicine , Baltimore, MD , USA

9. Department of Foundations of Medicine, New York University Long Island School of Medicine , Mineola, NY , USA

10. Clinical and Translational Science Institute, University of Minnesota , Minneapolis, MN , USA

11. Biomedical Informatics, University of Colorado Anschutz Medical Campus , Aurora, CO , USA

12. Department of Biomedical Informatics, Stony Brook University , Stony Brook, NY , USA

13. Department of Epidemiology, Columbia University Mailman School of Public Health , New York, NY , USA

14. Leon H. Charney Division of Cardiology, Department of Medicine, NYU Langone Health , New York, NY , USA

15. Departments of Medicine, Neurology, and Genetic Medicine, Weill Cornell Medical College , New York, NY , USA

16. Integrated Translational Health Research Institute, University of Virginia , Charlottesville, VA , USA

17. Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center , Kansas City, KS , USA

18. Division of Pulmonary Medicine Cincinnati Children’s Hospital Medical Center and University of Cincinnati College of Medicine , Cincinnati, OH , USA

19. Department of Medicine, University of North Carolina at Chapel Hill School of Medicine , Chapel Hill, NC , USA

20. Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital , Boston, MA , USA

21. Rose International , Los Angeles, CA , USA

22. Biostatistics Center, Massachusetts General Hospital , Boston, MA , USA

23. Department of Medicine, Harvard Medical School , Boston, MA , USA

24. Department of Medicine, Weill Cornell Medical College , New York, NY , USA

Abstract

Abstract Study Objectives Obstructive sleep apnea (OSA) has been associated with more severe acute coronavirus disease-2019 (COVID-19) outcomes. We assessed OSA as a potential risk factor for Post-Acute Sequelae of SARS-CoV-2 (PASC). Methods We assessed the impact of preexisting OSA on the risk for probable PASC in adults and children using electronic health record data from multiple research networks. Three research networks within the REsearching COVID to Enhance Recovery initiative (PCORnet Adult, PCORnet Pediatric, and the National COVID Cohort Collaborative [N3C]) employed a harmonized analytic approach to examine the risk of probable PASC in COVID-19-positive patients with and without a diagnosis of OSA prior to pandemic onset. Unadjusted odds ratios (ORs) were calculated as well as ORs adjusted for age group, sex, race/ethnicity, hospitalization status, obesity, and preexisting comorbidities. Results Across networks, the unadjusted OR for probable PASC associated with a preexisting OSA diagnosis in adults and children ranged from 1.41 to 3.93. Adjusted analyses found an attenuated association that remained significant among adults only. Multiple sensitivity analyses with expanded inclusion criteria and covariates yielded results consistent with the primary analysis. Conclusions Adults with preexisting OSA were found to have significantly elevated odds of probable PASC. This finding was consistent across data sources, approaches for identifying COVID-19-positive patients, and definitions of PASC. Patients with OSA may be at elevated risk for PASC after SARS-CoV-2 infection and should be monitored for post-acute sequelae.

Funder

National Institutes of Health

National Center for Advancing Translational Sciences

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

Reference28 articles.

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4. Impact of obstructive sleep apnea (OSA) in COVID-19 survivors, symptoms changes between 4-months and 1 year after the COVID-19 infection;Labarca;Front Med (Lausanne),2022

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