{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T12:39:27Z","timestamp":1777725567102,"version":"3.51.4"},"reference-count":29,"publisher":"SAGE Publications","issue":"3","license":[{"start":{"date-parts":[[2019,3,1]],"date-time":"2019-03-01T00:00:00Z","timestamp":1551398400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Investigative Medicine"],"published-print":{"date-parts":[[2019,3]]},"abstract":"<jats:p>Electronic medical records (EMRs) offer a potential opportunity to identify patients at high risk for cardiometabolic disease, which encompasses type 2 diabetes and cardiovascular disease (CVD). The objective of this retrospective cohort study is to use information gathered from EMR to investigate the association between triglyceride to high-density lipoprotein cholesterol ratio (TG\/HDL-C) and cardiometabolic outcomes in a general population of subjects over 50 years of age during a follow-up period of 8\u20139 years. TG\/HDL-C was recorded for each of 1428 subjects in 2008, and diagnoses of type 2 diabetes and CVD were recorded through chart review until 2017. Cox proportional hazards models controlling for demographic characteristics and other risk factors demonstrated that high TG\/HDL-C (&gt;2.5 in women or &gt;3.5 in men) was significantly associated with increased incidence of type 2 diabetes (HR 1.66; 95% CI 1.07 to 2.57; p=0.0230). There was also a suggested association between high TG\/HDL-C and incidence of CVD (HR 1.51; 95% CI 0.98 to 2.35; p=0.0628). These findings suggest that using TG\/HDL-C, which can be easily calculated from data in an EMR, should be another tool used in identifying patients at high cardiometabolic risk.<\/jats:p>","DOI":"10.1136\/jim-2018-000869","type":"journal-article","created":{"date-parts":[[2018,12,10]],"date-time":"2018-12-10T07:15:28Z","timestamp":1544426128000},"page":"663-668","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":23,"title":["Association of triglyceride to HDL cholesterol ratio with cardiometabolic outcomes"],"prefix":"10.1177","volume":"67","author":[{"given":"May","family":"Yang","sequence":"first","affiliation":[{"name":"Stanford University School of Medicine, Stanford, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joseph","family":"Rigdon","sequence":"additional","affiliation":[{"name":"Quantitative Sciences Unit, Stanford University School of Medicine, Stanford, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sandra A","family":"Tsai","sequence":"additional","affiliation":[{"name":"Stanford University Department of Medicine, Stanford, California, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2019,3,1]]},"reference":[{"key":"bibr1-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1136\/postgradmedj-2015-133281"},{"key":"bibr2-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1177\/1479164115610057"},{"key":"bibr3-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2005.03.085"},{"key":"bibr4-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.amjcard.2012.02.016"},{"key":"bibr5-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.7812\/TPP\/14-237"},{"key":"bibr6-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.2310\/JIM.0000000000000044"},{"key":"bibr7-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1111\/joim.12036"},{"key":"bibr8-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2011.05.007"},{"key":"bibr9-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.diabres.2014.07.010"},{"key":"bibr10-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1136\/jim-2016-000248"},{"key":"bibr11-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.jash.2014.08.002"},{"key":"bibr12-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2011.09.009"},{"key":"bibr13-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1186\/s41043-016-0067-8"},{"key":"bibr14-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1186\/1475-2840-7-4"},{"key":"bibr15-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1089\/met.2010.0028"},{"key":"bibr16-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/j.metabol.2015.01.004"},{"key":"bibr17-jim-2018-000869","first-page":"391","volume":"2009","author":"Lowe HJ","year":"2009","journal-title":"AMIA Annu Symp Proc"},{"key":"bibr18-jim-2018-000869","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(03)15268-3"},{"key":"bibr19-jim-2018-000869","unstructured":"United States Census Bureau. 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