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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Serum Malondialdehyde-Modified Low-Density Lipoprotein as a Risk Marker for Peripheral Arterial Stiffness in
Wei-Nung Liu1,2,3, Yi-Chiung Hsu2, Chia-Wen Lu1,4
1Department of Medicine, Hualien Armed Forces General Hospital, Hualien 97144, Taiwan.
Insights
Higher levels of malondialdehyde-modified low-density lipoprotein (MDA-LDL), an oxidative stress marker, are linked to peripheral arterial stiffness (PAS) in hemodialysis patients. A serum MDA-LDL level of 80.91 mg/dL is identified as a key predictor of PAS.
Area of Science:
- Nephrology
- Cardiovascular Medicine
- Biochemistry
Background:
- Peripheral arterial stiffness (PAS), measured by brachial-ankle pulse wave velocity (baPWV), is a significant cardiovascular disease (CVD) biomarker in hemodialysis (HD) patients.
- Malondialdehyde-modified low-density lipoprotein (MDA-LDL) is an oxidative stress marker associated with atherosclerosis and CVD.
Purpose of the Study:
- To investigate the association between serum MDA-LDL and PAS in HD patients.
- To determine the optimal cutoff value of serum MDA-LDL for predicting PAS.
Main Methods:
- Cross-sectional study of 100 HD patients.
- Serum MDA-LDL quantified by ELISA; baPWV measured by volume plethysmography.
- Multivariable logistic regression and ROC curve analysis used to assess associations and identify cutoff values.
Main Results:
- Higher serum MDA-LDL, older age, and elevated C-reactive protein were independently associated with PAS (ORs: 1.014, 1.044, 3.697, respectively).
- The optimal MDA-LDL cutoff for predicting PAS was 80.91 mg/dL, with 79.25% sensitivity and 59.57% specificity.
Conclusions:
- Elevated serum MDA-LDL levels (≥80.91 mg/dL) are independently associated with PAS in HD patients.
- Oxidative stress, indicated by MDA-LDL, is implicated in PAS development.
- Targeting MDA-LDL may offer a therapeutic strategy to mitigate cardiovascular risk in HD patients.
Abstract:
Background and Objectives: Peripheral arterial stiffness (PAS), assessed by brachial-ankle pulse wave velocity (baPWV), is an independent biomarker of cardiovascular diseases (CVD) in patients on maintenance hemodialysis (HD). Malondialdehyde-modified low-density lipoprotein (MDA-LDL), an oxidative stress marker, has been linked to atherosclerosis and CVD. However, the association between serum MDA-LDL and PAS among HD patients has not been fully elucidated. This study aimed to examine the association of serum MDA-LDL with PAS in HD patients and to identify the optimal cutoff value of serum MDA-LDL for predicting PAS. Materials and Methods: A cross-sectional study was conducted in 100 HD patients. Serum MDA-LDL was quantified using an enzyme-linked immunosorbent assay (ELISA), and baPWV was measured using a volume plethysmographic device. Patients were divided into the PAS group (baPWV > 18.0 m/s) and the non-PAS group (baPWV ≤ 18.0 m/s). The associations of baPWV and other clinical and biochemical parameters with serum MDA-LDL were assessed by multivariable logistic regression analyses. A receiver operating characteristic (ROC) curve analysis was performed to determine the optimal cutoff value of serum MDA-LDL for predicting PAS. Results: In multivariable logistic regression analysis, higher serum MDA-LDL, older age, and higher serum C-reactive protein [odds ratios (ORs) and 95% confidence intervals: 1.014 (1.004-1.025), 1.044 (1.004-1.085) and 3.697 (1.149-11.893)] were significantly associated with PAS. In the ROC curve analysis, the optimal cutoff value of MDA-LDL for predicting PAS was 80.91 mg/dL, with a sensitivity of 79.25% and a specificity of 59.57%. Conclusions: Greater serum MDA-LDL levels, particularly ≥80.91 mg/dL, were independently associated with PAS in HD patients. The findings suggest that oxidative stress plays a crucial role in the pathogenesis of PAS, and targeting MDA-LDL may be a potential therapeutic strategy for reducing cardiovascular risk in HD patients.
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Peripheral Artery Disease III: Interprofessional Care
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Chronic Kidney Disease II: Clinical Manifestations

