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Cardiovascular Risk Prediction in CKD.

Shoshana H Ballew¹, Kunihiro Matsushita¹

¹Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; Welch Center for Prevention, Epidemiology, and Clinical Research, Baltimore, MD.

Seminars in Nephrology

|May 14, 2018

Summary

Accurate cardiovascular risk prediction in chronic kidney disease (CKD) is crucial. Key CKD measures like estimated glomerular filtration rate and albuminuria significantly improve risk assessment beyond traditional factors.

Keywords:

Albuminuria cardiovascular disease estimated glomerular filtration rate risk prediction

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Area of Science:

Nephrology
Cardiology
Public Health

Background:

Cardiovascular disease (CVD) is a major complication for patients with chronic kidney disease (CKD).
Clinical guidelines offer inconsistent recommendations on utilizing CKD measures for CVD risk prediction.
Accurate CVD risk prediction is essential for managing CKD patients.

Purpose of the Study:

To compare current clinical guidelines on CVD risk prediction in CKD.
To synthesize evidence on traditional and nontraditional predictors for improving CVD risk prediction in CKD populations.
To address inconsistencies in guideline recommendations regarding CKD measures for risk prediction.

Main Methods:

Review and comparison of major clinical guidelines for CVD risk prediction in CKD.
Synthesis of recent meta-analyses and studies on traditional and nontraditional CVD risk factors in CKD.
Analysis of the utility of estimated glomerular filtration rate, albuminuria, and novel filtration markers.

Main Results:

Key CKD measures, particularly albuminuria, enhance cardiovascular risk prediction beyond traditional factors.
Novel filtration markers (e.g., cystatin C) can improve CVD risk prediction in CKD.
Measures of cardiovascular pathophysiology (e.g., coronary artery calcium score) are valuable in CKD populations.

Conclusions:

Albuminuria and novel filtration markers are important for improving CVD risk prediction in CKD patients.
Integrating CKD-specific measures enhances the accuracy of cardiovascular risk assessment.
Further research and guideline refinement are needed for optimal CVD risk management in CKD.