The sensibility of the new blood lipid indicator——atherogenic index of plasma (AIP) in menopausal women with coronary artery disease

Guo, Qianyun; Zhou, Shu; Feng, Xunxun; Yang, Jiaqi; Qiao, Jia-Ming; Zhao, Yingxin; Shi, Dongmei; Zhou, Yujie

doi:10.1186/s12944-020-01208-8

Cited by 55 publications

(56 citation statements)

References 28 publications

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“…Multiple cross-sectional studies reported that AIP was a strong predictor of CAD independent of diabetes [23,24,26]. Notably, the Indian Atherosclerosis Research Study revealed that addition of AIP and family history to traditional risk factors improved risk discrimination (C-index: from 0.864 to 0.873) in Asian Indians with CAD [19].…”

Section: Discussionmentioning

confidence: 99%

“…As a consequence, we presume that AIP can better re ect the lipid characteristics of diabetic patients. Recently, AIP has been demonstrated to be associated with CV morbidity and mortality in general population and different patients groups [17][18][19][20][21][22][23][24][25][26][27][28]. However, the prognostic impact of AIP on admission among T2DM patients with ACS undergoing PCI has not been exclusively studied.…”

Section: Introductionmentioning

confidence: 99%

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Prognostic impact of atherogenic index of plasma (AIP) in type 2 diabetes mellitus patients with acute coronary syndrome undergoing percutaneous coronary intervention

Sun

Cheng

et al. 2020

Preprint

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Background: The association of atherogenic index of plasma (AIP), an emerging lipid index which can predict risk for cardiovascular (CV) disease, with adverse outcomes in type 2 diabetes mellitus (T2DM) patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) has been undetermined. Therefore, the aim of this study was to investigate whether AIP could independently predict adverse CV events in T2DM patients with ACS undergoing PCI.Methods: This study was a retrospective analysis of a single-centre prospective registry involving 826 consecutive T2DM patients who underwent primary or elective PCI for ACS at our CV center from June 2016 to November 2017. This study eventually included 798 patients (age, 61±10 years, male, 72.7%). AIP was calculated as the base 10 logarithm of the ratio of plasma concentration of triglycerides to high density lipoprotein-cholesterol (HDL-C). All patients were divided into 4 groups based on the AIP quartiles. The primary endpoint was a composite of all-cause death, non-fatal ischemic stroke, non-fatal myocardial infarction (MI), or unplanned repeat revascularization. The key secondary endpoint was a composite of cardiovascular death, non-fatal ischemic stroke, or non-fatal MI.Results: During a median follow-up period of 927 days, 198 patients developed at least one event. An unadjusted Kaplan–Meier analysis showed the incidence of the primary endpoint increased gradually with rising AIP quartiles (log-rank test, P =0.001). A multivariate Cox proportional hazards analysis revealed that compared with the lowest AIP quartile, the top AIP quartile was associated with significantly increased risk for the primary and key secondary endpoints (hazard ratio [HR]: 2.153; 95% confidence interval [CI]: 1.355 to 3.421; P =0.001, and HR: 2.613; 95% CI: 1.024 to 6.666; P =0.044, respectively). Inclusion of AIP quartiles in a baseline prediction model for the primary endpoint increased the Harrell’s C statistic from 0.697 to 0.707. More importantly, addition of AIP quartiles to the above model significantly improved the continuous net reclassification improvement (continuous NRI =19.1%, P <0.001).Conclusions: A higher AIP value on admission was independently and strongly associated with adverse CV events in T2DM patients with ACS undergoing PCI.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Prognostic impact of atherogenic index of plasma (AIP) in type 2 diabetes mellitus patients with acute coronary syndrome undergoing percutaneous coronary intervention

Sun

Cheng

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

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“…Some studies have reported its superiority in predicting atherosclerosis compared to traditional lipid parameters [7,8]. For example, in a large cohort study consisting of postmenopausal women undergoing coronary angiography, Guo et al demonstrated AIP to be superior to traditional lipid indices for predicting coronary artery disease in univariate as well as multivariate regression analysis [9].…”

Section: Introductionmentioning

confidence: 99%

Association between atherogenic index of plasma and coronary artery calcification progression in Korean adults

et al. 2020

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Background: Dyslipidemia is a well-known risk factor for cardiovascular disease (CVD). Recently, atherogenic index of plasma (AIP) has been proposed as a novel predictive marker for CVD, and few cross sectional studies have demonstrated a relationship between AIP and coronary artery disease. The present study investigated the association between AIP and the progression of coronary artery calcification (CAC) in Korean adults without CVD. Methods: A total of 1124 participants who had undergone CAC measurement at least twice by multi-detector computed tomography (CT) at a health checkup center were enrolled. Their anthropometric measurements and various cardiovascular risk factors were assessed. AIP was defined as the base 10 logarithm of the ratio of the concentration of triglyceride (TG) to high-density lipoprotein-cholesterol (HDL-C). CAC progression was defined as either incident CAC in a CAC-free population at baseline, or an increase of ≥2.5 units between the square roots of the baseline and follow-up coronary artery calcium scores (CACS) in subjects with detectable CAC at baseline. Results: CAC progression was observed in 290 subjects (25.8%) during the mean follow-up of 4.2 years. All subjects were stratified into three groups according to AIP. There were significant differences in cardiovascular parameters among groups at baseline. The follow-up CAC and the incidence of CAC progression increased gradually with rising AIP tertiles. In logistic regression analysis, the odds ratio for CAC progression was 2.27 when comparing the highest to the lowest tertile of AIP (95% CI: 1.61-3.19; P for trend < 0.01). However, this association was attenuated after adjustment for multiple risk factors (P for trend = 0.67). Conclusions: There is a significant correlation between AIP and the progression of CAC in subjects without CVD. Although AIP was not an independent predictor of CAC progression, AIP should be considered when estimating the current as well as future CVD risk, along with other traditional risk factors.

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“…Although the prevention, treatment, and care of CAD patients have greatly improved and adverse cardiovascular events and mortality have declined, the aging population experiences improved quality of life and reduced physical activity, which contributes to the prevalence of CAD remaining high and being the leading cause of death in patients with cardiovascular disease [3]. The pathogenesis of CAD is not fully understood; in addition to visceral fat, in ammatory factors, and classic clinical risk factors, researchers are committed to exploring new risk factors and biomarkers for CAD, such as the atherogenic index of plasma and the triglyceride glucose index [4,5].…”

Section: Introductionmentioning

confidence: 99%

A Novel and Simply Calculated Cardiac Load Index Correlates With Coronary Artery Disease

Fan

Liu

et al. 2020

Preprint

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Abstract Background: No cardiac load index (CLI) has been established for patients with coronary artery disease (CAD). We propose a simple method for calculating CLI and explore the association of CLI with CAD.Methods: We enrolled 4145 consecutive inpatients with suspected stable CAD from December 2011 to June 2017 at the Chengde Medical University Affiliated Hospital. All patients were divided into the CAD (n=2914) and the NCAD groups (n=1231) according to coronary computed tomography angiography. We retrospectively collected data and calculated the CLI values of all patients. The receiver operating characteristic diagnostic test analysis was performed with CLI≥77, CLI≥125, CLI≥171, CLI≥217, and CLI≥264, respectively. Multivariate logistic regression models were established to determine the risk factors of CAD. Results: The CLI was significantly higher in the CAD group than in the NCAD group and higher in the male than in the female subgroup (both P<0.001). CLI≥171 was the diagnostic cut-off value. The predictive power of CLI≥171 for CAD improved after considering other risk factors. CLI≥171 is a new independent risk factor for CAD, and is an independent risk factor for CAD in males and females (all P<0.001).Conclusions: Increased CLI is an independent risk factor for CAD, it may be used as a predictor for the prevalence for CAD to improve diagnosis and prevention.

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The sensibility of the new blood lipid indicator——atherogenic index of plasma (AIP) in menopausal women with coronary artery disease

Cited by 55 publications

References 28 publications

Prognostic impact of atherogenic index of plasma (AIP) in type 2 diabetes mellitus patients with acute coronary syndrome undergoing percutaneous coronary intervention

Prognostic impact of atherogenic index of plasma (AIP) in type 2 diabetes mellitus patients with acute coronary syndrome undergoing percutaneous coronary intervention

Association between atherogenic index of plasma and coronary artery calcification progression in Korean adults

A Novel and Simply Calculated Cardiac Load Index Correlates With Coronary Artery Disease

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