open access publication

Article, 2024

Association of Premorbid GLP-1RA and SGLT-2i Prescription Alone and in Combination with COVID-19 Severity

Diabetes Therapy, ISSN 1869-6953, Volume 15, 5, Pages 1169-1186, 10.1007/s13300-024-01562-1

Contributors

Klein K.R. 0000-0002-5894-9054 (Corresponding author) [1] Abrahamsen T.J. 0000-0002-4508-2623 [2] Kahkoska A.R. 0000-0003-2701-101X [1] Alexander G.C. 0000-0002-5622-2986 [3] [4] Chute C.G. 0000-0001-5437-2545 [5] Haendel M. 0000-0001-9114-8737 [6] Hong S.S. 0000-0002-0795-1293 [3] Mehta H. 0000-0001-9134-6370 [4] Moffitt R.A. 0000-0003-2723-5902 Sturmer T. 0000-0002-9204-7177 Kvist K. 0000-0001-8611-7215 [2] Buse J.B. 0000-0002-9723-3876 [1]

Affiliations

  1. [1] University of North Carolina School of Medicine
  2. [NORA names: United States; America, North; OECD];
  3. [2] Novo Nordisk A/S
  4. [NORA names: Novo Nordisk; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Johns Hopkins University
  6. [NORA names: United States; America, North; OECD];
  7. [4] Johns Hopkins Bloomberg School of Public Health
  8. [NORA names: United States; America, North; OECD];
  9. [5] Johns Hopkins University School of Medicine
  10. [NORA names: United States; America, North; OECD];

Abstract

Introduction: People with type 2 diabetes are at heightened risk for severe outcomes related to COVID-19 infection, including hospitalization, intensive care unit admission, and mortality. This study was designed to examine the impact of premorbid use of glucagon-like peptide-1 receptor agonist (GLP-1RA) monotherapy, sodium-glucose cotransporter-2 inhibitor (SGLT-2i) monotherapy, and concomitant GLP1-RA/SGLT-2i therapy on the severity of outcomes in individuals with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Methods: Utilizing observational data from the National COVID Cohort Collaborative through September 2022, we compared outcomes in 78,806 individuals with a prescription of GLP-1RA and SGLT-2i versus a prescription of dipeptidyl peptidase 4 inhibitors (DPP-4i) within 24 months of a positive SARS-CoV-2 PCR test. We also compared concomitant GLP-1RA/SGLT-2i therapy to GLP-1RA and SGLT-2i monotherapy. The primary outcome was 60-day mortality, measured from the positive test date. Secondary outcomes included emergency room (ER) visits, hospitalization, and mechanical ventilation within 14 days. Using a super learner approach and accounting for baseline characteristics, associations were quantified with odds ratios (OR) estimated with targeted maximum likelihood estimation (TMLE). Results: Use of GLP-1RA (OR 0.64, 95% confidence interval [CI] 0.56–0.72) and SGLT-2i (OR 0.62, 95% CI 0.57–0.68) were associated with lower odds of 60-day mortality compared to DPP-4i use. Additionally, the OR of ER visits and hospitalizations were similarly reduced with GLP1-RA and SGLT-2i use. Concomitant GLP-1RA/SGLT-2i use showed similar odds of 60-day mortality when compared to GLP-1RA or SGLT-2i use alone (OR 0.92, 95% CI 0.81–1.05 and OR 0.88, 95% CI 0.76–1.01, respectively). However, lower OR of all secondary outcomes were associated with concomitant GLP-1RA/SGLT-2i use when compared to SGLT-2i use alone. Conclusion: Among adults who tested positive for SARS-CoV-2, premorbid use of either GLP-1RA or SGLT-2i is associated with lower odds of mortality compared to DPP-4i. Furthermore, concomitant use of GLP-1RA and SGLT-2i is linked to lower odds of other severe COVID-19 outcomes, including ER visits, hospitalizations, and mechanical ventilation, compared to SGLT-2i use alone. Graphical abstract available for this article. Graphical Abstract: (Figure presented.).

Keywords

COVID-19, GLP-1RA, National COVID Cohort Collaborative (N3C), Observational data, SARS-CoV-2, SGLT-2i, Type 2 diabetes

Funders

  • Novo Nordisk
  • American Diabetes Association
  • National Center for Advancing Translational Sciences
  • National Academy of Medicine
  • National Institutes of Health
  • Diabetes Research Connection
  • National Institute on Aging
  • University of North Carolina Department of Medicine and School of Medicine

Data Provider: Elsevier