Article

Cardiovascular disease risk prediction in type 1 diabetes: accounting for the differences.

Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA, United States.
Diabetes Research and Clinical Practice (impact factor: 2.75). 12/2007; 78(2):234-7. DOI:10.1016/j.diabres.2007.03.008 pp.234-7
Source: PubMed

ABSTRACT Present analyses used data from the Pittsburgh Epidemiology of Diabetes Complications Study, a prospective study of subjects with childhood type 1 diabetes (T1D), diagnosed between 1950 and 1980. Baseline exams took place 1986-1988 with biennial exams since. The Framingham risk equation was applied to generate the probability of risk for coronary heart disease (CHD) (MI, CHD death, or Q-waves) in 552 CHD free subjects who experienced 42 events over the 10-year follow-up period. Probabilities were split in to deciles. Expected and observed events were compared and demonstrated poor prediction. Risk factors previously found to be associated with CHD in T1D other than those in the Framingham risk function (age, smoking, cholesterol/HDLc, systolic blood pressure) were compared within the highest risk deciles. In men, elevated fibrinogen (p=0.007), white blood cell count (WBC) (p=0.037), albumin excretion rate (AER) (p=0.0001), and lower HDLc (p=0.048) were predictive. In females, higher Beck Depression Inventory (p=0.008), HbA1 (p=0.008), AER (p=0.01), LDLc (p=0.007), fibrinogen (p=0.006), WBC (p=0.005), non-HDLc (p=0.0005), WHR (p=0.003), and estimated glucose disposal rate (p=0.002) were associated. Risk factors not considered by the Framingham risk equation may account for the lack of fit and should be examined further.

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Keywords

10-year follow-up period
 
42 events
 
552 CHD free subjects
 
albumin excretion rate
 
Baseline exams
 
biennial exams
 
childhood type 1 diabetes
 
coronary heart disease
 
Diabetes Complications Study
 
Framingham risk equation
 
Framingham risk function
 
glucose disposal rate
 
higher Beck Depression Inventory
 
highest risk deciles
 
lower HDLc
 
Pittsburgh Epidemiology
 
Present analyses
 
prospective study
 
Risk factors
 
white blood cell count
 

Kristine Ruppert