Eight variables, most notably male gender, diabetes, smoking dose, TC/HDL-C, and Lp(a), independently predicted CAD severity, correctly classifying 43.3% of patients and explaining 25.8% of variance.
Observational (n=594)
Total lifetime smoking, TC/HDL-C ratio, and Lp(a) are the most relevant quantitative variables predicting the severity of premature coronary artery disease in Australian adults.
BACKGROUND: Factors predicting the occurrence of premature coronary artery disease (CAD) may not be quantitatively the same as those predicting CAD severity, particularly in women, in whom there have been few studies. METHODS AND RESULTS: To determine factors predictive of severity of CAD and of angina pectoris, we documented atherogenic variables and the extent of CAD at angiography in 594 consecutively studied men and women aged 65 years or less. Severity was assessed from the number of involved major coronary arteries with significant (> 50%) luminal obstructions and from a coronary disease severity score. We related severity to quantitative and categorical atherogenic variables and assessed severity of angina (no angina, stable angina, or unstable angina) at the time of study in the same way. There were eight variables independently predictive of severity: in descending order of relative importance, male gender, diabetes, smoking dose, ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C), lipoprotein(a) Lp(a), age, positive family history, and hypertension. These correctly classified 43.3% of patients into no-, one-, two-, and three-vessel disease categories and accounted for 25.8% of variance of severity. Among 246 patients not taking lipid-lowering or beta-blocking drugs, these variables (in slightly different order) correctly classified 49.2% of patients and accounted for 36% of the variance. Among men (n = 427), seven significant variables correctly classified 39.3% of patients compared with 54.5% in women (n = 167). For those not taking the above drugs, these proportions were 49.4% and 65.4%, respectively. Among the quantitative variables, total smoking dose was the most predictive independent variable irrespective of current or ex-smoking habit and was more predictive in women than in men; of the lipid variables, high TC/HDL-C (or low HDL-C) and high Lp(a) were consistently highly predictive for all patients and in the subgroup analyses. Patients with unstable angina had higher coronary severity scores and Lp(a) levels and were more likely to have diabetes, hypertension, or a positive family history. CONCLUSIONS: We conclude that the quantitative variables most relevant to severity of premature CAD and to its prevention in Australian men and women are total amount of lifetime smoking, TC/HDL-C (or HDL-C), and Lp(a) and that patients with unstable versus stable angina usually have more severe disease and higher Lp(a).
Wang et al. (Sun,) conducted a observational in Coronary artery disease (n=594). Atherogenic risk factors was evaluated on Severity of CAD (number of involved major coronary arteries with >50% luminal obstructions and coronary disease severity score). Eight variables, most notably male gender, diabetes, smoking dose, TC/HDL-C, and Lp(a), independently predicted CAD severity, correctly classifying 43.3% of patients and explaining 25.8% of variance.