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      Association Between Glucagon-Like Peptide 1 Receptor Agonist and Sodium–Glucose Cotransporter 2 Inhibitor Use and COVID-19 Outcomes

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          Abstract

          OBJECTIVE

          To determine the respective associations of premorbid glucagon-like peptide-1 receptor agonist (GLP1-RA) and sodium–glucose cotransporter 2 inhibitor (SGLT2i) use, compared with premorbid dipeptidyl peptidase 4 inhibitor (DPP4i) use, with severity of outcomes in the setting of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

          RESEARCH DESIGN AND METHODS

          We analyzed observational data from SARS-CoV-2–positive adults in the National COVID Cohort Collaborative (N3C), a multicenter, longitudinal U.S. cohort (January 2018–February 2021), with a prescription for GLP1-RA, SGLT2i, or DPP4i within 24 months of positive SARS-CoV-2 PCR test. The primary outcome was 60-day mortality, measured from positive SARS-CoV-2 test date. Secondary outcomes were total mortality during the observation period and emergency room visits, hospitalization, and mechanical ventilation within 14 days. Associations were quantified with odds ratios (ORs) estimated with targeted maximum likelihood estimation using a super learner approach, accounting for baseline characteristics.

          RESULTS

          The study included 12,446 individuals (53.4% female, 62.5% White, mean ± SD age 58.6 ± 13.1 years). The 60-day mortality was 3.11% (387 of 12,446), with 2.06% (138 of 6,692) for GLP1-RA use, 2.32% (85 of 3,665) for SGLT2i use, and 5.67% (199 of 3,511) for DPP4i use. Both GLP1-RA and SGLT2i use were associated with lower 60-day mortality compared with DPP4i use (OR 0.54 [95% CI 0.37–0.80] and 0.66 [0.50–0.86], respectively). Use of both medications was also associated with decreased total mortality, emergency room visits, and hospitalizations.

          CONCLUSIONS

          Among SARS-CoV-2–positive adults, premorbid GLP1-RA and SGLT2i use, compared with DPP4i use, was associated with lower odds of mortality and other adverse outcomes, although DPP4i users were older and generally sicker.

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          Most cited references37

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          Is Open Access

          OpenSAFELY: factors associated with COVID-19 death in 17 million patients

          COVID-19 has rapidly impacted on mortality worldwide. 1 There is unprecedented urgency to understand who is most at risk of severe outcomes, requiring new approaches for timely analysis of large datasets. Working on behalf of NHS England we created OpenSAFELY: a secure health analytics platform covering 40% of all patients in England, holding patient data within the existing data centre of a major primary care electronic health records vendor. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19 related deaths. COVID-19 related death was associated with: being male (hazard ratio 1.59, 95%CI 1.53-1.65); older age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared to people with white ethnicity, black and South Asian people were at higher risk even after adjustment for other factors (HR 1.48, 1.29-1.69 and 1.45, 1.32-1.58 respectively). We have quantified a range of clinical risk factors for COVID-19 related death in the largest cohort study conducted by any country to date. OpenSAFELY is rapidly adding further patients’ records; we will update and extend results regularly.
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            Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes.

            The effects of empagliflozin, an inhibitor of sodium-glucose cotransporter 2, in addition to standard care, on cardiovascular morbidity and mortality in patients with type 2 diabetes at high cardiovascular risk are not known.
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              • Article: not found

              Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction

              In patients with type 2 diabetes, inhibitors of sodium-glucose cotransporter 2 (SGLT2) reduce the risk of a first hospitalization for heart failure, possibly through glucose-independent mechanisms. More data are needed regarding the effects of SGLT2 inhibitors in patients with established heart failure and a reduced ejection fraction, regardless of the presence or absence of type 2 diabetes.
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                Author and article information

                Journal
                Diabetes Care
                Diabetes Care
                diacare
                dcare
                Diabetes Care
                Diabetes Care
                American Diabetes Association
                0149-5992
                1935-5548
                July 2021
                20 July 2021
                20 July 2021
                : 44
                : 7
                : 1564-1572
                Affiliations
                [1] 1Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
                [2] 2Novo Nordisk A/S, Copenhagen, Denmark
                [3] 3Center for Drug Safety and Effectiveness, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
                [4] 4Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
                [5] 5Division of General Internal Medicine, Johns Hopkins Medicine, Baltimore, MD
                [6] 6Section of Informatics and Data Science, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO
                [7] 7Schools of Medicine, Public Health, and Nursing, Johns Hopkins University, Baltimore, MD
                [8] 8Center for Health AI, University of Colorado School of Medicine, Aurora, CO
                [9] 9Division of Endocrinology and Metabolism, Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
                [10] 10Division of Endocrinology and Metabolism, Department of Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY
                [11] 11Department of Biomedical Informatics, Stony Brook University, Stony Brook, NY
                [12] 12Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
                [13] 13NC Translational and Clinical Sciences Institute, University of North Carolina School of Medicine, Chapel Hill, NC
                Author notes
                Corresponding author: John B. Buse, jbuse@ 123456med.unc.edu
                Author information
                https://orcid.org/0000-0002-9723-3876
                Article
                210065
                10.2337/dc21-0065
                8323175
                34135013
                922a0a6a-53fa-48c2-9124-a9b01fe5d226
                © 2021 by the American Diabetes Association

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/content/license.

                History
                : 11 January 2021
                : 23 April 2021
                Page count
                Figures: 1, Tables: 3, Equations: 0, References: 39, Pages: 9
                Categories
                1038
                Epidemiology/Health Services Research

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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