The atherogenic index of plasma is a strong and independent predictor for coronary artery disease in the Chinese Han population.

Abstract:

:Dyslipidemia is one of the most important factors for coronary artery disease (CAD). The atherogenic index of plasma (AIP), a new comprehensive lipid index, might be a strong marker for predicting the risk of CAD.A hospital-based case-control study including 2936 CAD patients and 2451 controls was conducted in a Chinese population. Traditional lipid parameters were detected, and nontraditional lipid comprehensive indexes were calculated.Compared with controls, CAD patients had higher levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein cholesterol (LDL-C). By contrast, the level of high-density lipoprotein cholesterol (HDL-C) was lower in CAD patients. The values of nontraditional lipid profiles, including non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C (atherogenic index, AI), TC*TG*LDL/HDL-C (lipoprotein combine index, LCI), and lg (TG/HDL-C) (AIP), were all significantly higher in the cases than in the controls. The results of Pearson correlation analyses indicated that AIP was positively and significantly correlated with TC (r = 0.125, P < .001), TG (r = 0.810, P < .001), LDL-C (r = 0.035, P < .001), non-HDL-C (r = 0.322, P < .001), TC/HDL-C (r = 0.669, P < .001), LDL-C/HDL-C (r = 0.447, P < .001), AI (r = 0.669, P < .001), and LCI (r = 0.688, P < .001) and was negatively correlated with age (r = -0.122, P < .001) and HDL-C (r = -0.632, P < .001). In the univariate logistic regression analysis, AIP was the lipid parameter that was most strongly associated with CAD, with an unadjusted odds ratio of 1.782 (95% confidence interval: 1.490-2.131, P < .001), for an increase of 1-SD. Multivariate logistic regression analyses revealed that AIP was an independent risk factor for CAD.AIP might be a strong and independent predictor for CAD in the Chinese Han population.

journal_name

Medicine (Baltimore)

journal_title

Medicine

authors

Cai G,Shi G,Xue S,Lu W

doi

10.1097/MD.0000000000008058

subject

Has Abstract

pub_date

2017-09-01 00:00:00

pages

e8058

issue

37

eissn

0025-7974

issn

1536-5964

pii

00005792-201709150-00052

journal_volume

96

pub_type

杂志文章

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