Development of predictive risk models for major adverse cardiovascular events among patients with type 2 diabetes mellitus using health insurance claims data.
James B YoungMarjolaine Gauthier-LoiselleRobert A BaileyAmeur M ManceurPatrick LefebvreMorris GreenbergMarie-Hélène LafeuilleMei Sheng DuhBrahim BookhartCarol H WyshamPublished in: Cardiovascular diabetology (2018)
The claims-based models developed could reliably predict the risk of cardiovascular events in T2DM patients, without requiring pharmacy claims or laboratory measures. These models could be relevant for providers and payers and help implement approaches to prevent cardiovascular events in high-risk diabetic patients.
Keyphrases
- cardiovascular events
- health insurance
- coronary artery disease
- cardiovascular disease
- affordable care act
- end stage renal disease
- ejection fraction
- newly diagnosed
- glycemic control
- prognostic factors
- type diabetes
- healthcare
- emergency department
- electronic health record
- big data
- adipose tissue
- artificial intelligence
- metabolic syndrome
- adverse drug