Title
Predicting diabetes clinical outcomes using longitudinal risk factor trajectories.
Abstract
The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor trajectories available in the electronic health record to predict incident type 2 diabetes. Analysis was based on a large 13-year retrospective cohort of 71,545 adult, non-diabetic patients with baseline in 2005 and median follow-up time of 8 years. The trajectories of fasting plasma glucose, lipids, BMI and blood pressure were computed over three time frames (2000–2001, 2002–2003, 2004) before baseline. A novel method, Cumulative Exposure (CE), was developed and evaluated using Cox proportional hazards regression to assess risk of incident type 2 diabetes. We used the Framingham Diabetes Risk Scoring (FDRS) Model as control. The new model outperformed the FDRS Model (.802 vs .660; p-values <2e-16). Cumulative exposure measured over different periods showed that even short episodes of hyperglycemia increase the risk of developing diabetes. Returning to normoglycemia moderates the risk, but does not fully eliminate it. The longer an individual maintains glycemic control after a hyperglycemic episode, the lower the subsequent risk of diabetes. Incorporating risk factor trajectories substantially increases the ability of clinical decision support risk models to predict onset of type 2 diabetes and provides information about how risk changes over time.
Year
DOI
Venue
2020
10.1186/s12911-019-1009-3
BMC Medical Informatics and Decision Making
Keywords
Field
DocType
Diabetes, Diabetes trajectories, Risk assessment, Prediabetes
Diabetes mellitus,Gerontology,Knowledge management,Risk assessment,Prediabetes,Medicine,Risk factor
Journal
Volume
Issue
ISSN
20
1
1472-6947
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Gyorgy J. Simon16315.40
Kevin A Peterson200.34
Regina Castro3103.56
Michael Steinbach4176091.22
Vipin Kumar511560934.35
Pedro J Caraballo6297.59