Xl. Wang et al., Lp(a) and conventional risk profiles predict the severity of coronary stenosis in high-risk hospital-based patients, AUST NZ J M, 30(3), 2000, pp. 333-338
Citations number
17
Categorie Soggetti
General & Internal Medicine","Medical Research General Topics
Aims: To explore predictive power of Lp(a), of conventional lipoprotein pro
files and their carrier proteins, and of biometric measurements, for the pr
esence and severity of angiographically documented coronary disease in high
-risk patients, and to compare risk profiles in men and women.
Methods: We determined coronary artery disease (CAD) risk factors in 1308 A
ustralian Caucasian patients (313 women and 995 men) aged less than or equa
l to 65 years who consecutively underwent coronary angiography.
Results: In univariate analyses of the risk factors, lipid profiles, Lp(a),
cigarette smoking, diabetes, hypertension and obesity were all higher in m
en and women with CAD and changed significantly with the number of signific
antly diseased vessels (greater than or equal to 50% luminal obstruction).
When stepwise logistic regression analysis was applied, age (OR 1.06, 95% C
I: 1.04-1.09), TC/HDL-C (OR 1.29, 95% CI: 1.15-1.45), male gender (OR 2.64,
95% CI: 1.67-4.16), hyperLp(a) (greater than or equal to 300 mg/L) (OR 2.0
9, 95% CI: 1.42-3.07), lifetime smoking dose (OR 1.02, 95% CI: 1.01-1.03),
diabetes (OR 2.19, 95% CI: 1.14-4.18) and waist/hip ratio (OR 14.53, 95% CI
: 1.21-174.90) were predictive of the disease. Both Lp(a) levers and percen
tage of hyperLp(a) increased linearly with the number of significantly dise
ased vessels. When the analyses were conducted in men and women separately,
hyperLp(a), TC/HDL-C, lifetime smoking dose and age remained as significan
t predictors in both groups but the waist/hip ratio was only predictive in
women.
Conclusions: As Lp(a) is an independent predictor of the occurrence and ext
ent of coronary stenosis and relevant to treatment options, we suggest that
it should be measured routinely in the coronary risk profile assessment of
high-risk patients.