Identifying primary care patients at risk for future diabetes and cardiovascular disease using electronic health records
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* Corresponding author: James B Meigs jmeigs@partners.org
General Medicine Division, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
BMC Health Services Research 2009, 9:170 doi:10.1186/1472-6963-9-170
Published: 22 September 2009Additional files
Additional file 1:
Supplementary tables. tables S1, S2, S3, and S4 are included in additional file 1. Table S1. Results of the validation study in 154 patients recruited in the Internal Medicine Associates (IMA) practice at Massachusetts General Hospital. Table S2. Numbers and percentage of individuals without diabetes or CHD meeting formal and surrogate metabolic syndrome criteria in electronic health record data (in all patients; in patients with at least 3 criteria measured; and in patients with all 5 criteria measured). Table S3. Characteristics and outcomes of individuals using metabolic syndrome defined as meeting two or more criteria (a more sensitive approach than meeting three or more criteria) using individuals with at least three criteria measured in the electronic health record. Table S4. Three-year outcomes (2005-2007) for individuals with No metabolic syndrome, At-risk-for metabolic syndrome, with Metabolic syndrome, and with CHD/DM according to electronic health record data in all patients.
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