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.
Autor: | L Mandel H; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA., Colleen G; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA., Abedian S; Information Technologies and Services Department, Weill Cornell Medicine, New York, NY, USA., Ammar N; Department of Pediatrics, University of Tennessee Health Science Center College of Medicine Memphis, Memphis, TN, USA., Charles Bailey L; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Bennett TD; Department of Pediatrics, Children's Hospital Colorado, Aurora, CO, USA., Daniel Brannock M; Center for Data Science and AI, RTI International, Durham, NC, USA., Brosnahan SB; Division of Pulmonary, Department of Medicine, Critical Care and Sleep Medicine, NYU Langone Health, New York, NY, USA¸., Chen Y; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA., Chute CG; Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA., Divers J; Department of Foundations of Medicine, New York University Long Island School of Medicine, Mineola, NY, USA., Evans MD; Clinical and Translational Science Institute, University of Minnesota, Minneapolis, MN, USA., Haendel M; Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Hall MA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA., Hirabayashi K; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Hornig M; Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA., Katz SD; Leon H. Charney Division of Cardiology, Department of Medicine, NYU Langone Health, New York, NY, USA., Krieger AC; Departments of Medicine, Neurology, and Genetic Medicine, Weill Cornell Medical College, New York, NY, USA., Loomba J; Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA., Lorman V; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Mazzotti DR; Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, USA., McMurry J; Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA., Moffitt RA; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA., Pajor NM; Division of Pulmonary Medicine Cincinnati Children's Hospital Medical Center and University of Cincinnati College of Medicine, Cincinnati, OH, USA., Pfaff E; Department of Medicine, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA., Radwell J; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA., Razzaghi H; Applied Clinical Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA., Redline S; Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA., Seibert E; Rose International, Los Angeles, CA, USA., Sekar A, Sharma S; Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA., Thaweethai T; Biostatistics Center, Massachusetts General Hospital, Boston, MA, USA.; Department of Medicine, Harvard Medical School, Boston, MA, USA., Weiner MG; Department of Medicine, Weill Cornell Medical College, New York, NY, USA., Jae Yoo Y; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA., Zhou A; Integrated Translational Health Research Institute, University of Virginia, Charlottesville, VA, USA., Thorpe LE; Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA. |
---|---|
Jazyk: | angličtina |
Zdroj: | Sleep [Sleep] 2023 Sep 08; Vol. 46 (9). |
DOI: | 10.1093/sleep/zsad126 |
Abstrakt: | 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. (© The Author(s) 2023. Published by Oxford University Press on behalf of Sleep Research Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.) |
Databáze: | MEDLINE |
Externí odkaz: |