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Advanced lipoprotein parameters could better explain atheromatosis in non-diabetic chronic kidney disease patients
Marcelino Bermudez-Lopez1, Hector Perpiñan2, Nuria Amigo3
1Vascular and Renal Translational Research Group, Spanish Research Network for Renal Diseases (REDINREN del ISCIII), IRBLleida, Lleida, Spain.
Insights
Advanced lipoprotein particle analysis, specifically triglyceride-rich low-density lipoprotein (LDL) particles, is linked to atheromatosis in non-diabetic individuals with chronic kidney disease (CKD). This finding may improve cardiovascular risk assessment in CKD patients.
Area of Science:
- Cardiology
- Nephrology
- Lipid Metabolism
Background:
- Chronic kidney disease (CKD) patients exhibit a high burden of atheromatous cardiovascular disease (ASCVD) not fully explained by traditional lipid parameters.
- Advanced lipoprotein composition and particle number information may enhance ASCVD risk assessment.
Purpose of the Study:
- To investigate the association between advanced lipoprotein parameters and atheromatosis risk in a non-diabetic subpopulation of the NEFRONA study.
Main Methods:
- Cross-sectional study of 395 non-diabetic individuals (209 CKD, 186 controls) without statin therapy.
- Vascular ultrasound assessed 10 territories; advanced lipoprotein testing by nuclear magnetic resonance spectroscopy.
- Logistic regression analyzed adjusted odds ratios (ORs) per 1 standard deviation increment.
Main Results:
- Atheromatosis prevalence was higher in CKD patients (64.6% vs 33.9%).
- Triglyceride (TG)-rich low-density lipoprotein (LDL) particles and medium LDL particles were independently associated with atheromatosis in adjusted models.
- TG-loaded medium LDL particles were higher in CKD patients and associated with atheromatosis in non-diabetic individuals (OR 1.40, P=0.01).
Conclusions:
- Non-diabetic CKD patients have increased TG-loaded medium LDL particles compared to controls.
- These specific lipoprotein particles are independently associated with atheromatosis in non-diabetic individuals, suggesting their utility in risk stratification.
Background:
Chronic kidney disease (CKD) patients have a high burden of atheromatous cardiovascular disease (ASCVD) not fully explained by traditional lipid parameters. Lipoprotein composition and subclass particle number information could improve ASCVD risk assessment. The objective of this study is to investigate the association of advanced lipoprotein parameters with the risk of atheromatosis in a subpopulation of the NEFRONA study.
Methods:
This was a cross-sectional study in 395 non-diabetic individuals (209 CKD and 186 non-diabetic and non-CKD) without statin therapy. Vascular ultrasound examination assessing 10 territories was combined with advanced lipoprotein testing performed by nuclear magnetic resonance spectroscopy. Logistic regression was used to estimate adjusted odds ratios (ORs) per 1 standard deviation increment.
Results:
Atheromatosis was more prevalent in CKD patients (33.9% versus 64.6%). After adjusting for age, gender, smoking habit and CKD stage, the amount of triglycerides (TGs) within low-density lipoprotein (LDL) lipoproteins was independently and positively associated with atheromatosis [OR 1.33; 95% confidence interval (CI) 1.03-1.74; P = 0.03]. Similarly, total and medium LDL particles (LDL-Ps) showed a positive association (OR 1.29; 95% CI 1.00-1.68; P = 0.05 and OR 1.34; 95% CI 1.04-1.75; P = 0.03, respectively). TG-loaded medium LDL-Ps were higher in CKD patients compared with controls and showed an adjusted OR of 1.40 (95% CI 1.09-1.82; P = 0.01) in non-diabetic patients (CKD and non-CKD individuals). In contrast, non-diabetic CKD patients showed a similar coefficient but the significance was lost (OR 1.2; 95% CI 0.8-1.7; P = 0.359).
Conclusions:
Non-diabetic CKD patients showed a higher amount of TG-loaded medium LDL-Ps compared with controls. These particles were independently associated with atheromatosis in non-diabetic patients.
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