Abstract 17289: NSAID Use and Clinical Outcomes in COVID-19
Introduction: There have been concerns that NSAID use may worsen outcomes in coronavirus disease 2019 (COVID-19) through upregulation of the ACE2 receptor used by the SARS-CoV-2 virus for cell entry. Hypothesis: We sought to determine whether prior use of NSAIDs in patients hospitalized with COVID-19 is associated with worse in-hospital outcomes. Methods: The Michigan Medicine Covid-19 Cohort (M 2 C 2 ) is an ongoing prospective observational study in which detailed clinical, laboratory and outcomes data were collected from chart review of consecutive adult patients hospitalized for COVID-19. Patients who were positive for SARS-CoV-2 infection but without symptoms of COVID-19 were not included in this cohort. We identified 553 patients who presented to University of Michigan Hospital between March 1 st and May 1 st for COVID-19, of whom 519 had data on whether they took NSAIDs prior to hospitalization. We examined the association between NSAID use and outcomes during their hospitalization. Results: 52 (10.0%) patients were taking NSAIDs prior to hospitalization (NSAID group; mean age 55.8 [SD 15.2]; 46.2% men) and 467 (90.0%) were not taking NSAIDs (non-NSAID group; mean age 61 [SD 16.0]; 57.7% men). There was no significant difference between the inflammatory markers on presentation to hospital between groups including CRP (median 8.0 vs median 9.7, p-value 0.79), procalcitonin (median 0.18 vs median 0.21, p-value 0.66), d-dimer (median 0.90 vs median 1.25, p-value 0.12), and IL-6 (median 36.7 vs median 49.3, p-value 0.43). All-cause mortality was not significantly different between the NSAID and non-NSAID groups (11.5% vs 16.8%, p-value 0.36) and neither was the risk of ICU admission (46.2% vs 48.9%, p-value 0.62). Conclusions: Among patients presenting to hospital with COVID-19, prior use of NSAIDs was not associated with significantly different levels of inflammatory markers on admission and was also not associated with significantly different mortality or rates of ICU admission.