{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,25]],"date-time":"2026-09-25T05:53:45Z","timestamp":1790315625736,"version":"4.1.0"},"reference-count":15,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>Sodium\u2010glucose co\u2010transporter\u20102 (SGLT2) inhibitors are widely prescribed in people with type 2 diabetes. We aimed to investigate whether SGLT2 inhibitor prescription is associated with COVID\u201019, when compared with an active comparator. We performed a propensity\u2010score\u2010matched cohort study with active comparators and a negative control outcome in a large UK\u2010based primary care dataset. Participants prescribed SGLT2 inhibitors (n = 9948) and a comparator group prescribed dipeptidyl peptidase\u20104 (DPP\u20104) inhibitors (n = 14\u2009917) were followed up from January 30 to July 27, 2020. The primary outcome was confirmed or clinically suspected COVID\u201019. The incidence rate of COVID\u201019 was 19.7\/1000 person\u2010years among users of SGLT2 inhibitors and 24.7\/1000 person\u2010years among propensity\u2010score\u2010matched users of DPP\u20104 inhibitors. The adjusted hazard ratio was 0.92 (95% confidence interval 0.66 to 1.29), and there was no evidence of residual confounding in the negative control analysis. We did not observe an increased risk of COVID\u201019 in primary care amongst those prescribed SGLT2 inhibitors compared to DPP\u20104 inhibitors, suggesting that clinicians may safely use these agents in the everyday care of people with type 2 diabetes during the COVID\u201019 pandemic.<\/jats:p>","DOI":"10.1111\/dom.14203","type":"journal-article","created":{"date-parts":[[2020,9,29]],"date-time":"2020-09-29T09:15:22Z","timestamp":1601370922000},"page":"263-269","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Sodium\u2010glucose co\u2010transporter\u20102 inhibitors and susceptibility to\n                    <scp>COVID<\/scp>\n                    \u201019: A population\u2010based retrospective cohort study"],"prefix":"10.1111","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7984-5721","authenticated-orcid":false,"given":"Christopher","family":"Sainsbury","sequence":"first","affiliation":[{"name":"Institute of Applied Health Research University of Birmingham  Birmingham UK"},{"name":"Department of Diabetes Gartnavel General Hospital, NHS Greater Glasgow and Clyde  Glasgow UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingya","family":"Wang","sequence":"additional","affiliation":[{"name":"Institute of Applied Health Research University of Birmingham  Birmingham UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Krishna","family":"Gokhale","sequence":"additional","affiliation":[{"name":"Institute of Applied Health Research University of Birmingham  Birmingham UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dionisio","family":"Acosta\u2010Mena","sequence":"additional","affiliation":[{"name":"Cegedim Health 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