An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records

作者：Schildcrout Jonathan S; Basford Melissa A; Pulley Jill M; Masys Daniel R; Roden Dan M; Wang Deede; Chute Christopher G; Kullo Iftikhar J; Carrell David; Peissig Peggy; Kho Abel; Denny Joshua C

来源：Journal of Biomedical Informatics, 2010, 43(6): 914-923.

DOI：10.1016/j.jbi.2010.07.011

• Electronic medical records
• ICD-9
• Dissimilarity index
• Comorbidity index
• Population comparison
• Morbidity dissimilarity index

We describe a two-stage analytical approach for characterizing morbidity profile dissimilarity among patient cohorts using electronic medical records We capture morbidities using the International Statistical Classification of Diseases and Related Health Problems (ICD-9) codes In the first stage of the approach separate logistic regression analyses for ICD-9 sections (e g, "hypertensive disease" or "appendicitis") are conducted, and the odds ratios that describe adjusted differences in prevalence between two cohorts are displayed graphically In the second stage, the results from ICD-9 section analyses are combined into a general morbidity dissimilarity index (MDI) For illustration, we examine nine cohorts of patients representing six phenotypes (or controls) derived from five institutions, each a participant in the electronic MEdical REcords and GEnomics (eMERGE) network The phenotypes studied include type II diabetes and type II diabetes cont

• 出版日期2010-12
• 单位西北大学