Author:
Guo Qianyun,Zhou Shu,Feng Xunxun,Yang Jiaqi,Qiao Jiaming,Zhao Yingxin,Shi Dongmei,Zhou Yujie
Abstract
Abstract
Background
Dyslipidemia is a key driver of coronary artery disease (CAD) development. This study aimed to determine whether the atherogenic index of plasma (AIP), a novel comprehensive lipid index, is an independent and reliable predictor of CAD risk in postmenopausal women.
Methods
A cohort of consecutive 4644 postmenopausal women (aged 50 or above) undergoing coronary angiography (CAG) in Anzhen Hospital (Beijing, China) from January–December 2014 was included in the analysis. Of them, 3039 women were CAD patients, and 1605 were non-CAD subjects.
Results
Relative to control subjects, TG levels in CAD patients were higher and HDL-C levels were lower. In CAD patients, non-traditional lipid profile values (TC/HDL-C, AI, and AIP) were significantly elevated relative to controls. AIP was positively correlated with TC (r = 0.157), TG (r = 0.835), LDL-C (r = 0.058), non-HDL-C (r = 0.337), TC/HDL-C (r = 0.683), LDL-C/HDL-C (r = 0.437), LCI (r = 0.662), and AI (r = 0.684), and negatively correlated with HDL-C (r = − 0.682) (all P < 0.001), but was independent of age (r = − 0.022; P = 0.130) and BMI (r = 0.020, P = 0.168). Aunivariate logistic regression analysis revealed AIP to be the measured lipid parameter most closely related to CAD, and its unadjusted odds ratio was 1.824 (95% CI: 1.467–2.267, P < 0.001). After adjusting for several CAD risk factors (age, BMI, smoking, drinking, EH, DM, hyperlipidemia, and family history of CVD, AIP was still found to represent a significant CAD risk factor (OR 1.553, 95% CI: 1.234–1.955, P < 0. 001).
Conclusion
AIP may be a powerful independent predictor of CAD risk in Chinese Han postmenopausal women, and may be superior to the traditional lipid indices.
Funder
China Postdoctoral Science Foundation
Chinese Scholarship Council (CSC) scholarship
National Key Research and Development Program of China
Beijing Municipal Administration of Hospitals’ Ascent Plan
Publisher
Springer Science and Business Media LLC
Subject
Biochemistry (medical),Clinical Biochemistry,Endocrinology,Endocrinology, Diabetes and Metabolism
Reference28 articles.
1. Gasior M, Gierlotka M, Pyka Ł, Zdrojewski T, Wojtyniak B, Chlebus K, et al. Temporal trends in secondary prevention in myocardial infarction patients discharged with left ventricular systolic dysfunction in Poland. Eur J Prev Cardiol. 2018;1:2047487318770830.
2. Blumenthal D, Hsiao W, Blumenthal DM. Caring for coronary artery disease in China: managing modernization. JAMA Intern Med. 2016;176(4):521–3.
3. Hu SS, Gao RL, Liu LL, Liu LS, et al. Report on cardiovascular diseases in China (2018, summary). Chin Circ J. 2019;34(3):209–20 [In Chinese].
4. Matsuura Y, Kanter JE, Bornfeldt KE. Highlighting residual atherosclerotic cardiovascular disease risk. Arterioscler Thromb Vasc Biol. 2019;39(1):e1–9.
5. Dobiasova M, Frohlich J. The plasma parameter log (TG/HDL-C) as an atherogenic index: correlation with lipoprotein particle size and esterification rate in apob-lipoprotein-depleted plasma (FERHDL). Clin Biochem. 2001;34:583–8.