Stanford University

Validation of Risk Equations for Complications of Type 2 Diabetes (RECODe) Using Individual Participant Data From Diverse Longitudinal Cohorts in the U.S.

  • Sanjay Basu,
  • Jeremy B. Sussman,
  • Seth A. Berkowitz,
  • Rodney A. Hayward,
  • Alain G. Bertoni,
  • Adolfo Correa,
  • Stanford Mwasongwe,
  • John S. Yudkin

OBJECTIVE We sought to validate risk equations for complications of type 2 diabetes (RECODe) among diverse populations.

RESEARCH DESIGN AND METHODS We compared risk predictions from RECODe equations and from two alternative risk models (UK Prospective Diabetes Study Outcomes Model 2 and ACC/AHA Pooled Cohort Equations) to observed outcomes in two studies: the Multi-ethnic Study of Atherosclerosis (MESA, n = 1,555 adults with type 2 diabetes, median follow-up 9.1 years) and the Jackson Heart Study (JHS, n = 1,746 adults with type 2 diabetes, median follow-up 8.0 years). Outcomes included nephropathy by multiple measures (microalbuminuria, macroalbuminuria, renal failure, end-stage renal disease, and reduction in glomerular filtration rate), moderate to severe diabetic retinopathy by Airlie House classification, fatal or nonfatal myocardial infarction, fatal or nonfatal stroke, congestive heart failure, and all-cause mortality.

 

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