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Is plasma atherogenic index or LDL/HDL ratio more predictive of peripheral arterial disease complexity?
Ali Evsen1, Adem Aktan2, Mehmet Altunova3
1Department of Cardiology, Dağkapı State Hospital, Diyarbakır, Turkey.
Insights
The LDL/HDL ratio is a more valuable predictor of peripheral arterial disease (PAD) complexity than the atherogenic plasma index (AIP). This study found LDL/HDL ratio to be an independent predictor of PAD complexity.
Area of Science:
- Cardiovascular Medicine
- Medical Diagnostics
- Lipid Metabolism
Background:
- Peripheral arterial disease (PAD) is primarily caused by atherosclerosis.
- Dyslipidemia is a key contributor to atherosclerosis development.
- Novel lipid ratios may offer predictive value for PAD complexity.
Purpose of the Study:
- To evaluate the predictive capability of specific dyslipidemia ratios, Atherogenic Plasma Index (AIP) and LDL/HDL ratio, for peripheral arterial disease (PAD) complexity.
- To compare the efficacy of AIP and LDL/HDL ratio in predicting PAD complexity.
Main Methods:
- Retrospective analysis of 305 PAD patients.
- Classification of PAD complexity using TASC-II criteria based on angiography.
- Determination of Atherogenic Plasma Index (AIP) using Log (TG/HDL) and LDL/HDL ratio.
- Logistic regression analysis to identify independent predictors of PAD complexity.
Main Results:
- Higher prevalence of diabetes mellitus and coronary artery disease in the complex PAD group (TASC C-D).
- Patients with complex PAD exhibited significantly higher triglycerides, LDL-C, AIP, and LDL/HDL ratio, and lower HDL-C.
- Multivariate analysis identified diabetes mellitus, coronary artery disease, and LDL/HDL ratio as independent predictors of PAD complexity.
Conclusions:
- The LDL/HDL ratio is a more valuable and independent predictor of peripheral arterial disease (PAD) complexity compared to the Atherogenic Plasma Index (AIP).
- This finding highlights the clinical utility of the LDL/HDL ratio in assessing PAD severity.
Abstract:
IntroductionThe most basic and well-known cause of peripheral arterial disease (PAD) is atherosclerosis. One of the main factors causing atherosclerosis is dyslipidemia. We will evaluate whether specific ratios of dyslipidemia, such as the atherogenic plasma index (AIP) and LDL/HDL ratio, which have recently been used in practice, can help us to predict the complexity of PAD in the clinic.MethodsA total of 305 patients with PAD admitted to our clinic were retrospectively included in this study. After evaluation according to angiography images using TASC-II classification, patients were divided into TASC A-B and TASC C-D. AIP was evaluated with the following formula: Log (TG/HDL). Cut-off values for AIP and LDL/HDL were determined on the ROC (receiver operating characteristic) curve. Logistic regression analysis were conducted to predict peripheral arterial disease complexity.ResultsThe mean ages of Group 1 (n:180, 68.3% male) and Group 2 (n:125, 77.6% male) patients were 64.10 ± 12.39 and 64.94 ± 11.12 years, respectively. The prevalence of diabetes mellitus (DM, p < 0.016) and coronary artery disease (CAD, p < 0.001) was higher in group 2. Group 2 had higher TG (p = 0.045), LDL-C (p = 0.004), AIP (p = 0.010), LDL/HDL (p < 0.001), and lower HDL-C (p = 0.015). In multivariate logistic regression analysis evaluating parameters in predicting PAD complexity, DM (OR: 1.66 Cl 95%: 1.01-2.73 p = 0.045), CAD (OR: 2.86 Cl 95%: 1.75-4.69 p < 0.001) and LDL/HDL (OR: 1.47 Cl 95%: 1.10-1.96 p = 0.008) were independent variables.ConclusionIn our study, we compared LDL/HDL ratio and AIP in PAD for the first time in the literature and showed that LDL/HDL ratio is a more valuable ratio and an independent predictor of PAD complexity.
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