The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects

International Journal of Medical Informatics
Wei-Qi WeiChristopher G Chute

Abstract

To evaluate the impact of insufficient longitudinal data on the accuracy of a high-throughput clinical phenotyping (HTCP) algorithm for identifying (1) patients with type 2 diabetes mellitus (T2DM) and (2) patients with no diabetes. Retrospective study conducted at Mayo Clinic in Rochester, Minnesota. Eligible subjects were Olmsted County residents with ≥1 Mayo Clinic encounter in each of three time periods: (1) 2007, (2) from 1997 through 2006, and (3) before 1997 (N = 54,283). Diabetes relevant electronic medical record (EMR) data about diagnoses, laboratories, and medications were used. We employed the HTCP algorithm to categorize individuals as T2DM cases and non-diabetes controls. Considering the full 11 years (1997-2007) as the gold standard, we compared gold-standard categorizations with those using data for 10 subsequent intervals, ranging from 1998-2007 (10-year data) to 2007 (1-year data). Positive predictive values (PPVs) and false-negative rates (FNRs) were calculated. McNemar tests were used to determine whether categorizations using shorter time periods differed from the gold standard. Statistical significance was defined as P < 0.05. We identified 2770 T2DM cases and 21,005 controls when the algorithm was applied...Continue Reading

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Citations

Jun 12, 2013·Nature Communications·QiPing FengRussell A Wilke
Apr 12, 2013·Journal of the American Medical Informatics Association : JAMIA·Wei-Qi WeiJoshua C Denny
Sep 13, 2013·Journal of the American Medical Informatics Association : JAMIA·Rachel L RichessonSusan E Spratt
Sep 5, 2015·Journal of the American Medical Informatics Association : JAMIA·Wei-Qi WeiJoshua C Denny
Oct 8, 2014·Population Health Management·Abbey C SidebottomJackie L Boucher
Feb 4, 2014·American Journal of Epidemiology·Christopher G Chute
Jun 25, 2015·Journal of the American Medical Informatics Association : JAMIA·Abel N KhoWilliam L Galanter
Mar 2, 2018·Journal of Diabetes Science and Technology·Arianna DagliatiLucia Sacchi
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Oct 8, 2013·Clinical Pharmacology and Therapeutics·W-Q WeiJoshua C Denny
Jun 26, 2020·Frontiers in Genetics·Liwei WangHongfang Liu

Related Concepts

Diabetes Mellitus, Non-Insulin-Dependent
Longitudinal Survey
Nested Case-Control Studies
Diabetes
Diabetes Mellitus, Non-Insulin-Dependent
Pharmaceutical Preparations
Laboratory
Retrospective Studies
Statistical Test
Clinic

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