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Lipoprotein(a) Is Associated with the Presence and Severity of New-Onset Coronary Artery Disease in Postmenopausal Women

Yan XN1,2, Jin JL1, Hong LF2, Guo YL1, Wu NQ1, Zhu CG1, Dong Q1, Li JJ1.

J Womens Health (Larchmt). 2020 Jan 6. doi: 10.1089/jwh.2019.7773. [Epub ahead of print]

Abstract

Background: Lipid disorder was one of the major risk factors for coronary artery disease (CAD), especially in postmenopausal women, whose lipid profile significantly changed during the transition period to menopause. The aim of the present study was to examine whether plasma lipoprotein(a) [Lp(a)] was a biomarker for predicting the presence and severity of CAD in postmenopausal women. Methods: A total of 783 postmenopausal women who had their first angina-like chest pain were enrolled and classified into two groups according to the results of coronary angiography: CAD group (n = 309) and age-matched non-CAD group (n = 309). Patients with CAD were further divided into the three groups based on Gensini score (GS). The relationships of plasma Lp(a) levels to the presence and severity of CAD were evaluated, and the predictive value of Lp(a) for CAD was also examined. Results: CAD group had higher Lp(a) levels when compared to non-CAD ones (p < 0.001). The multivariate logistic regression analysis suggested that Lp(a) was an independent predictor for the presence of CAD (p < 0.001). Plasma levels of Lp(a) were significantly related to GS (p < 0.001). In addition, plasma Lp(a) level was significantly elevated according to the tertiles of GS (p = 0.001) and was independently associated with high GS (p < 0.001). In receiver-operating characteristic analysis for predicting the presence of CAD in postmenopausal women, Lp(a) was found to have the area under the curve of 0.703, with an optimal cutoff value of 255.69 mg/L. Conclusions: Lp(a) is an independent risk factor for predicting the presence and the severity of new-onset CAD in postmenopausal women, suggesting that Lp(a) may be a lipid target for prevention and treatment in such patients.