Influence of risk factors on peripheral and @entity66 in @entity1 with coronary artery disease, low high-density lipoprotein XXXX levels, and desirable low-density lipoprotein @entity165 levels. HIT Investigators. Department of Veterans Affairs HDL Intervention Trial.

@entity1 @entity1095 @entity455 @entity712 @entity101 @entity6 @entity301 @entity66 @entity64 @entity8445 @entity65 @entity165
BACKGROUND: The Veterans Administration-HDL Intervention Trial is an ongoing, 20-center, randomized, double-blind, placebo-controlled study aiming to assess the effect of @entity8445 -improved low high-density lipoprotein @entity165 levels on @entity65 and mortality rates. METHODS AND RESULTS: Eligible @entity1 were @entity1 with low high-density lipoprotein @entity165 levels and demonstrable @entity301 . A total of 2531 @entity1 (average age 63.5 years) were randomly assigned in this study, with a mean high-density lipoprotein @entity165 level of 0.83 mmol/L (32 mg/dL) and low-density lipoprotein @entity165 level of 2.87 mmol/L (111 mg/dL). Baseline data provided the opportunity to assess the interaction of several @entity301 risk factors and comorbid @entity455 . Of these @entity1 , 206 had @entity6 ( @entity6 ) alone, 1021 had @entity101 ( @entity101 ) alone, 421 had both @entity6 and @entity101 , and 883 had neither ("others"). Considering the influence of these risk factors on comorbidities independent of smoking status, @entity1 with @entity6 alone had a 2-fold increase in the prevalence of @entity1095 and a 1.5-fold increase in @entity712 . @entity1 with @entity101 had a significant increase in the prevalence of @entity66 , @entity64 , and @entity712 . @entity1 with @entity101 and @entity6 had a significant increase in all comorbidities. Smoking resulted in substantial increase of both @entity1095 and @entity66 . Compared with nonsmoking @entity1 with no @entity6 or @entity101 , @entity1 with @entity6 and @entity101 and smoking had a 3-fold increase in the prevalence of @entity1095 and a 3.5-fold increase in @entity66 (P < .001). CONCLUSIONS: We conclude that @entity6 is a strong correlate of @entity1095 , @entity101 of @entity66 , and that there is a strong additive effect between @entity6 , @entity101 , and smoking on both.
