The relationship between atherogenic index of plasma and plaque vulnerabilities: an optical coherence tomography study

Abstract Background Atherogenic index of plasma (AIP) has been recommended as a marker of plasma atherogenicity. The impact of AIP on plaque characteristics is not fully understood. Purpose The study investigates the relationship between AIP and coronary plaque features in patients with acute coronary syndrome (ACS). Methods From January 2015 to June 2017 pre-intervention optical coherence tomography (OCT) was performed in 522 ACS patients. AIP was defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol. Patients were divided into four groups according to AIP quartiles. Results A total of 332 patients were included for the analysis. The incidence of thin-cap fibroatheroma (TCFA) (group I [lowest] 9.09% vs group II 16.5% vs group III 44.7% vs group IV [highest] 52.9%), macrophage accumulation (group I 18.2% vs group II 22.4% vs group III 31.8% vs group IV 47.1%), plaque rupture (group I 10.4% vs group II 14.1% vs group III 17.6% vs group IV 34.1%) and plaque erosion (group I 2.6% vs group II 2.4% vs group III 14.1% vs group IV 12.9%) were significantly different among AIP quartiles. Multivariate logistic regression revealed the risk of TCFA (odds ratio 11.938, 95% confidence interval 4.723-30.174, p<0.001) and plaque rupture (OR 4.976, 95% CI 1.993-12.424, p<0.001) increased in group IV compared to group I. Receiver operating characteristics curve showed the predictive value of AIP for TCFA and plaque rupture were 0.720 and 0.669 respectively. Conclusions AIP is an independent predictor for vulnerable plaques beyond traditional factors. It can be integrated in clinical practice for risk stratification of ACS patients.Multivariate logistic analysisROC curves

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Journal
European Heart Journal
Published
2024-10-01
DOI
https://doi.org/10.1093/eurheartj/ehae666.1381
Primary Topic
Coronary Interventions and Diagnostics
Type
article
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0.00

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article

The relationship between atherogenic index of plasma and plaque vulnerabilities: an optical coherence tomography study

Z J Wang, Chao Gao, Shaojie Wu, R T Wang et al.
European Heart Journal
Coronary Interventions and Diagnostics
article

The relationship between atherogenic index of plasma and plaque vulnerabilities: an optical coherence tomography study

Z J Wang, Chao Gao, Shaojie Wu, R T Wang, Wei Liu, Yang Liu, Y J Zhou, Y N Gao, Dong Mei Shi, Qing Ma
article en

Abstract

Abstract Background Atherogenic index of plasma (AIP) has been recommended as a marker of plasma atherogenicity. The impact of AIP on plaque characteristics is not fully understood. Purpose The study investigates the relationship between AIP and coronary plaque features in patients with acute coronary syndrome (ACS). Methods From January 2015 to June 2017 pre-intervention optical coherence tomography (OCT) was performed in 522 ACS patients. AIP was defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol. Patients were divided into four groups according to AIP quartiles. Results A total of 332 patients were included for the analysis. The incidence of thin-cap fibroatheroma (TCFA) (group I [lowest] 9.09% vs group II 16.5% vs group III 44.7% vs group IV [highest] 52.9%), macrophage accumulation (group I 18.2% vs group II 22.4% vs group III 31.8% vs group IV 47.1%), plaque rupture (group I 10.4% vs group II 14.1% vs group III 17.6% vs group IV 34.1%) and plaque erosion (group I 2.6% vs group II 2.4% vs group III 14.1% vs group IV 12.9%) were significantly different among AIP quartiles. Multivariate logistic regression revealed the risk of TCFA (odds ratio 11.938, 95% confidence interval 4.723-30.174, p<0.001) and plaque rupture (OR 4.976, 95% CI 1.993-12.424, p<0.001) increased in group IV compared to group I. Receiver operating characteristics curve showed the predictive value of AIP for TCFA and plaque rupture were 0.720 and 0.669 respectively. Conclusions AIP is an independent predictor for vulnerable plaques beyond traditional factors. It can be integrated in clinical practice for risk stratification of ACS patients.Multivariate logistic analysisROC curves

European Heart JournalVol. 45(Supplement_1)
Peking University (CN), Beijing Jishuitan Hospital (CN), Beijing VDJBio (China) (CN), Beijing Anzhen Hospital (CN), Xijing Hospital (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 64%
Coronary Interventions and Diagnostics
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