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. Author manuscript; available in PMC: 2009 Feb 10.
Published in final edited form as: N Engl J Med. 2005 Dec 22;353(25):2643–2653. doi: 10.1056/NEJMoa052187

Table 3.

Proportional-Hazards Models of the Effect of Time-Dependent Covariates on the Risk of Cardiovascular Disease and of the Effect of the Treatment Group after Adjustment for the Time-Dependent Covariate.

Time-Dependent Covariate Effect of Time-Dependent Covariate* Treatment Group Adjusted
for Time-Dependent Covariate*
Hazard Ratio
(95% CI)
P Value Hazard Ratio
(95% CI)
P Value
None 0.53 (0.34-0.83) 0.005
Renal disease (yes vs. no) 2.99 (0.72-12.5) 0.20 0.54 (0.34-0.84) 0.006
Microalbuminuria (yes vs. no) 2.93 (1.85-4.65) <0.001 0.62 (0.39-0.97) 0.04
Albuminuria (yes vs. no) § 2.57 (1.36-4.88) 0.009 0.58 (0.37-0.91) 0.02
Mean glycosylated hemoglobin value
Per 10% increase 1.25 (1.10-1.43) <0.001 0.84 (0.43-1.64) 0.61
Per 10% decrease 0.80 (0.70-0.91) <0.001
*

All models were adjusted for the glycosylated hemoglobin value, age, cholesterol level, and smoking status at baseline in the DCCT.

Renal disease was defined by a serum creatinine level of at least 2 mg per deciliter, a history of kidney transplantation, or the implementation of dialysis.

Microalbuminuria was defined by a history of microalbuminuria or renal disease.

§

Albuminuria was defined by a history of albuminuria or renal disease.

The log mean glycosylated hemoglobin value was used so that the hazard ratio per c-fold change in risk is c2.26144, where 2.26144 is the estimated regression coefficient; a c of 1.1 corresponds to a 10 percent increase in the mean glycosylated hemoglobin value, and a c of 0.9 to a 10 percent decrease.