Predictors of high-grade atherosclerotic renal artery stenosis in patients with CKD

Area of Science:

• Nephrology
• Cardiovascular Medicine
• Biomarkers

Background:

• Atherosclerotic renal artery stenosis (ARAS) is a significant cause of secondary hypertension and progressive chronic kidney disease (CKD).
• Identifying predictors of high-grade ARAS is crucial for timely intervention and management in CKD patients.

Purpose of the Study:

• To explore and identify predictors of high-grade atherosclerotic renal artery stenosis (ARAS) in patients diagnosed with chronic kidney disease (CKD).

Main Methods:

• Retrospective study design.
• Univariate analysis (t-tests, nonparametric tests) to compare groups with high-grade vs. low-grade ARAS.
• Multivariate logistic regression and Receiver Operating Characteristic (ROC) curve analysis to identify independent predictors.

Main Results:

• Significant differences observed in smoking history, eGFR, cystatin C, fasting blood glucose, and LMR between high-grade and low-grade ARAS groups.
• Multivariate analysis identified eGFR (OR=0.979), cystatin C (OR=2.123), and LMR (OR=0.639) as significant predictors of high-grade ARAS.
• ROC analysis indicated predictive values for eGFR (AUC=0.681), cystatin C (AUC=0.658), and LMR (AUC=0.650), with eGFR and LMR demonstrating the greatest predictive utility.

Conclusions:

• eGFR, cystatin C, and LMR are valuable predictive parameters for high-grade ARAS in CKD patients.
• eGFR and LMR exhibit the strongest predictive value, suggesting their importance in risk stratification and clinical decision-making for ARAS in CKD.