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Assessment of Vascular Function in Patients With Chronic Kidney Disease
Published on: June 16, 2014
Carotid atherosclerosis in kidney disease
1Department of Preventive Cardiology, National Cerebral and Cardiovascular Disease, Suita, Japan. ykokubo@hsp.ncvc.go.jp
Contributions to Nephrology
|May 9, 2013
Summary
Chronic kidney disease (CKD) is linked to carotid atherosclerosis, a predictor of cardiovascular disease (CVD). Early detection of kidney dysfunction and strict blood pressure management are crucial for preventing CVD in the general population.
Area of Science:
- Nephrology
- Cardiology
- Public Health
Background:
- Chronic kidney disease (CKD) is a significant public health issue and a risk factor for cardiovascular disease (CVD) and mortality.
- Carotid atherosclerosis, measured by intima-media thickness (IMT), predicts CVD incidence.
- Subclinical studies are essential for early CVD prevention in CKD patients.
Purpose of the Study:
- To review subclinical studies on the relationship between carotid atherosclerosis and kidney dysfunction in the general population.
- To highlight the association between CKD, carotid IMT, and blood pressure in CVD risk assessment.
Main Methods:
- Review of cross-sectional studies examining carotid intima-media thickness (IMT) and renal function in general and outpatient populations.
- Analysis of the impact of blood pressure categories on carotid atherosclerosis in subjects with and without CKD.
Main Results:
- Cross-sectional studies show an inverse association between carotid IMT and renal function in the general population.
- The association between CKD and carotid IMT is stronger in outpatients than in healthy individuals.
- Carotid atherosclerosis is more severe in individuals with CKD and hypertension, indicating a synergistic effect.
Conclusions:
- Early detection of decreased renal function is vital for CVD prevention.
- Strict blood pressure management is crucial, especially in individuals with CKD.
- Subclinical assessment of renal dysfunction and blood pressure is recommended for CVD risk stratification.
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