{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:11:07Z","timestamp":1787015467878,"version":"build-2736575974"},"reference-count":32,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2020,12,15]],"date-time":"2020-12-15T00:00:00Z","timestamp":1607990400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Diabetes Invest"],"published-print":{"date-parts":[[2021,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims\/Introduction<\/jats:title>\n                    <jats:p>The aim of this study was to examine ethnicity\u2010specific associations between type\u00a02 diabetes mellitus and the risk of a cardiovascular disease (CVD) event as well as risk of specific CVD phenotypes in England.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We obtained data from the Clinical Practice Research Datalink for adults with and without type\u00a02 diabetes mellitus diagnosed 2000\u20132006. The outcome was the first CVD event during 2007\u20132017 and the following components: aortic aneurysm, cerebrovascular accidents, heart failure, myocardial infarction, peripheral vascular disease and other CVD\u2010related conditions. Flexible parametric survival models were used to estimate ethnicity\u2010specific adjusted hazard ratios.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 734,543 people with and without type\u00a02 diabetes mellitus (29,847; 4.1%) were included; most were of white ethnicity (93.0% with and 92.3% without type\u00a02 diabetes mellitus) followed by South Asian (3.2 and 4.6%). During a median follow\u2010up period of 11.0\u00a0years, 67,218 events occurred (6,156 in individuals with type\u00a02 diabetes mellitus). Type\u00a02 diabetes mellitus was associated with a small increase in CVD events (adjusted hazard ratio 1.06, 95% confidence interval 1.02\u20131.09) in individuals of white ethnicity; whereas the adjusted hazard ratios were considerably higher in individuals of South Asian ethnicity (1.28, 95% confidence interval 1.09\u20131.51), primarily due to an increased risk of myocardial infarction (1.53, 95% confidence interval 1.08\u20132.18).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Despite universal access to healthcare, there are large disparities in CVD outcomes in people with and without type\u00a02 diabetes mellitus. Other non\u2010traditional risk factors might play a role in the higher CVD risk associated with type\u00a02 diabetes mellitus in individuals of South Asian ethnicity.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jdi.13464","type":"journal-article","created":{"date-parts":[[2020,11,18]],"date-time":"2020-11-18T17:43:56Z","timestamp":1605721436000},"page":"1175-1182","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":39,"title":["Cardiovascular events and mortality in people with and without type\u00a02 diabetes: An observational study in a contemporary multi\u2010ethnic population"],"prefix":"10.1111","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4228-8818","authenticated-orcid":false,"given":"Briana","family":"Coles","sequence":"first","affiliation":[{"name":"Leicester Real World Evidence Unit Diabetes Research Center University of Leicester Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Francesco","family":"Zaccardi","sequence":"additional","affiliation":[{"name":"Leicester Real World Evidence Unit Diabetes Research Center University of Leicester Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Suping","family":"Ling","sequence":"additional","affiliation":[{"name":"Leicester Real World Evidence Unit Diabetes Research Center University of Leicester Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Melanie J","family":"Davies","sequence":"additional","affiliation":[{"name":"National Institute for Health Research Leicester Biomedical Research Center Leicester Diabetes Centre Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nilesh J","family":"Samani","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Sciences NIHR Leicester Biomedical Research Center University of Leicester Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kamlesh","family":"Khunti","sequence":"additional","affiliation":[{"name":"National Institute for Health Research Applied Research Collaboration \u2010 East Midlands Leicester Diabetes Center Leicester UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2020,12,15]]},"reference":[{"key":"e_1_2_7_2_1","unstructured":"Key Statistics and Quick Statistics for local authorities in the United Kingdom [Internet].Office for National Statistics 2019. 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