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Atherogenic Index of Plasma Predicts Obstructive Coronary Artery Disease in Patients with Stable Angina Pectoris
Haci Ali Kurklu1, Turkan Seda Tan2, Nil Ozyuncu2
1Department of Cardiovascular Medicine, Ankara Etlik Research Hospital, Ankara 06590, Turkey.
Insights
The atherogenic index of plasma (AIP) can help identify patients with obstructive coronary artery disease (CAD). Higher AIP levels are linked to a greater risk of significant coronary artery stenosis.
Area of Science:
- Cardiovascular Medicine
- Biochemical Risk Assessment
- Coronary Artery Disease
Background:
- Chronic coronary syndrome involves risk factors like dyslipidemia and hypertension.
- The atherogenic index of plasma (AIP) is a known biochemical risk factor for coronary artery disease (CAD).
Purpose of the Study:
- To evaluate the effectiveness of the atherogenic index of plasma (AIP) in estimating obstructive CAD.
- To determine if AIP can serve as a predictive marker for significant coronary artery stenosis.
Main Methods:
- Included 345 patients undergoing coronary angiography.
- Defined obstructive CAD as ≥50% stenosis in one or more coronary vessels.
- Analyzed AIP values in relation to obstructive CAD using univariable and multivariable analyses, including ROC analysis.
Main Results:
- Patients with obstructive CAD had significantly higher mean AIP values (0.58 ± 0.27) compared to those without (0.49 ± 0.26).
- AIP showed a significant association with obstructive CAD (OR: 3.74).
- An AIP cut-off value of 0.49 was identified, with higher values indicating ≥50% coronary artery stenosis.
Conclusions:
- The atherogenic index of plasma (AIP) is a valuable parameter for assessing cardiovascular risk in patients with stable angina.
- AIP can be effectively used to estimate the presence of obstructive coronary artery disease.
Aims:
Chronic coronary syndrome is associated with several risk factors, such as dyslipidemia and hypertension. The atherogenic index of plasma (AIP) has been demonstrated to be a biochemical risk factor for coronary artery disease (CAD). This study aimed to determine whether the AIP is an effective parameter for estimating obstructive CAD.
Methods And Results:
A total of 345 patients (with a mean age of 62.2 ± 10.3; 63% male) who underwent coronary angiography were included in this study. Obstructive CAD is defined as having one or more vessels with a stenosis level of ≥50%. Depending on the presence of obstructive CAD, all patients were divided into two groups. The mean AIP value was found to be 0.538 ± 0.26 in the study group. The AIP values were significantly higher in the obstructive coronary artery group (AIP; 0.49 ± 0.26 vs. 0.58 ± 0.27, p = 0.002). According to a univariable analysis, AIP values were significantly associated with obstructive coronary artery disease [OR: 3.74 (CI 95% 1.62-8.64), p = 0.020]. The AIP was further adjusted for confounding risk factors in three multivariable analysis models and, all three models showed a significant association. According to an ROC analysis, 0.49 is the cut-off value for AIP, and a value above 0.49 indicates 50% coronary artpery stenosis.
Conclusions:
The AIP may be used in the assessment of cardiovascular risk for patients with stable angina pectoris, and it may also be used to estimate obstructive CAD.
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