The attributes of Release 3.0 of the user friendly version (UFV) of the glo
bal diabetes model (GDM) are described and documented in detail. The GDM is
a continuous, stochastic microsimulation model of type 2 diabetes. Suitabl
e for predicting the medical futures of both individuals with diabetes and
representative diabetic populations, the GDM predicts medical events (compl
ications of diabetes), survival, utilities, and medical care costs. Inciden
ce rate functions for microvascular and macrovascular complications are bas
ed on a combination of published studies and analyses of data describing di
abetic members of Kaiser Permanents Northwest Region, a non-profit group-mo
del health maintenance organization. Active risk factors include average bl
ood glucose (HbAlc), systolic blood pressure (SBP), low density lipoprotein
choleslerol (LDL), high density lipoprotein cholesterol (HDL), triglycerid
es, smoking status, and use of prophylactic aspirin. Events predicted inclu
de diabetic eye disease, diabetic nephropathy, peripheral neuropathy, amput
ation, myocardial infarction, stroke, peripheral artery disease, congestive
heart failure, coronary artery surgery, coronary angioplasty, and death. (
C) 2000 Elsevier Science Ireland Ltd. All rights reserved.