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Cyclooxygenase inhibitor use is associated with increased COVID-19 severity
Justin Reese; Ben Coleman; Lauren Chan; Hannah Blau; Tiffany J Callahan; Luca Cappelletti; Tommaso Fontana; Katie Rebecca Bradwell; Nomi L Harris; Elena Casiraghi; Giorgio Valentini; Guy Karlebach; Rachel Deer; Julie A McMurry; Melissa A Haendel; Christopher G Chute; Emily Pfaff; Richard Moffitt; Heidi Spratt; Jasvinder Singh; Christopher J Mungall; Andrew E Williams; Peter N Robinson.
Affiliation
  • Justin Reese; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Ben Coleman; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
  • Lauren Chan; Translational and Integrative Sciences Center, Oregon State University, Corvallis, OR, USA
  • Hannah Blau; The Jackson Laboratory for Genomic Medicine: Farmington, CT, US
  • Tiffany J Callahan; Computational Bioscience, University of Colorado Anschutz Medical Campus, Boulder, CO, USA, Center for Health AI, University of Colorado Anschutz Medical Campus
  • Luca Cappelletti; Università degli Studi di Milano, Milan, IT
  • Tommaso Fontana; Universita degli Studi di Milano, Milan, IT
  • Katie Rebecca Bradwell; Palantir Technologies, Denver, CO, USA
  • Nomi L Harris; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Elena Casiraghi; Università degli Studi di Milano, Milan, IT
  • Giorgio Valentini; Università degli Studi di Milano, Milan, IT
  • Guy Karlebach; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA
  • Rachel Deer; University of Texas Medical Branch, Galveston, TX, USA
  • Julie A McMurry; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
  • Melissa A Haendel; Center for Health AI, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
  • Christopher G Chute; Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD, USA
  • Emily Pfaff; North Carolina Translational and Clinical Sciences Institute (NC TraCS), University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
  • Richard Moffitt; Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA
  • Heidi Spratt; University of Texas Medical Branch, Galveston, TX, USA
  • Jasvinder Singh; University of Alabama at Birmingham, Birmingham, AL, USA, Medicine Service, VA Medical Center, Birmingham, AL, USA
  • Christopher J Mungall; Environmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
  • Andrew E Williams; Tufts Medical Center Clinical and Translational Science Institute, Tufts Medical Center, Boston, MA, USA, Tufts University School of Medicine, Institute for Cli
  • Peter N Robinson; The Jackson Laboratory for Genomic Medicine, Farmington, CT, USA, Institute for Systems Genomics, University of Connecticut, Farmington, CT, USA.
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21255438
ABSTRACT
BackgroundNon-steroidal anti-inflammatory drugs (NSAIDs) are commonly used to reduce pain, fever, and inflammation but have been associated with complications in community-acquired pneumonia. Observations shortly after the start of the COVID-19 pandemic in 2020 suggested that ibuprofen was associated with an increased risk of adverse events in COVID-19 patients, but subsequent observational studies failed to demonstrate increased risk and in one case showed reduced risk associated with NSAID use. MethodsA 38-center retrospective cohort study was performed that leveraged the harmonized, high-granularity electronic health record data of the National COVID Cohort Collaborative. A propensity-matched cohort of COVID-19 inpatients was constructed by matching cases (treated with NSAIDs) and controls (not treated) from 857,061 patients with COVID-19. The primary outcome of interest was COVID-19 severity in hospitalized patients, which was classified as moderate, severe, or mortality/hospice. Secondary outcomes were acute kidney injury (AKI), extracorporeal membrane oxygenation (ECMO), invasive ventilation, and all-cause mortality at any time following COVID-19 diagnosis. ResultsLogistic regression showed that NSAID use was not associated with increased COVID-19 severity (OR 0.57 95% CI 0.53-0.61). Analysis of secondary outcomes using logistic regression showed that NSAID use was not associated with increased risk of all-cause mortality (OR 0.51 95% CI 0.47-0.56), invasive ventilation (OR 0.59 95% CI 0.55-0.64), AKI (OR 0.67 95% CI 0.63-0.72), or ECMO (OR 0.51 95% CI 0.36-0.7). In contrast, the odds ratios indicate reduced risk of these outcomes, but our quantitative bias analysis showed E-values of between 1.9 and 3.3 for these associations, indicating that comparatively weak or moderate confounder associations could explain away the observed associations. ConclusionsStudy interpretation is limited by the observational design. Recording of NSAID use may have been incomplete. Our study demonstrates that NSAID use is not associated with increased COVID-19 severity, all-cause mortality, invasive ventilation, AKI, or ECMO in COVID-19 inpatients. A conservative interpretation in light of the quantitative bias analysis is that there is no evidence that NSAID use is associated with risk of increased severity or the other measured outcomes. Our findings are the largest EHR-based analysis of the effect of NSAIDs on outcome in COVID-19 patients to date. Our results confirm and extend analogous findings in previous observational studies using a large cohort of patients drawn from 38 centers in a nationally representative multicenter database.
License
cc_by_nc_nd
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Observational_studies / Prognostic_studies Language: En Year: 2021 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Type of study: Cohort_studies / Observational_studies / Prognostic_studies Language: En Year: 2021 Document type: Preprint