Modified metabolic syndrome criteria for identification of patients at risk of developing diabetes and coronary heart diseases: longitudinal assessment via electronic health records

The Canadian Journal of Cardiology
Marie-France HivertAlain Vanasse

Abstract

Metabolic syndrome has been shown to predict type 2 diabetes mellitus and cardiovascular events in well-studied cohorts, but lack of appropriate measures in real-life populations has limited its use in clinical settings. We developed and tested an algorithm to identify patients at risk for future diabetes or coronary heart disease (CHD) events using electronic health records (EHRs) at the Centre Hospitalier Universitaire de Sherbrooke (CHUS). Patients older than 18 years who had at least 1 visit (outpatient or inpatient) at the CHUS in 2002 or 2003 were included. We excluded patients with diabetes or CHD at baseline. Patients with at least 3 relevant measurements were classified as no metabolic syndrome (zero criteria met), at-risk for metabolic syndrome (1-2 criteria met), or having metabolic syndrome (≥ 3 criteria met). Incidence of diabetes and CHD were assessed through 2008. Data from 31,823 patients were included at baseline: 2997 (9.4%) were classified as having metabolic syndrome, while 18,686 (59%) were classified as at risk for metabolic syndrome. During the 5-year follow-up, having metabolic syndrome was associated with a 20.0% risk of developing diabetes (age- and sex-adjusted odds ratio = 5.12 [95% confidence interv...Continue Reading

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Citations

Jan 11, 2014·Current Cardiology Reports·Mazen Roumia, Steven Steinhubl
Nov 14, 2012·The Canadian Journal of Cardiology·Stanley Nattel
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Dec 12, 2018·Journal of Investigative Medicine : the Official Publication of the American Federation for Clinical Research·May YangSandra A Tsai

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