Abstract
This study aims to explore predictors of high-grade atherosclerotic renal artery stenosis (ARAS) in patients with chronic kidney disease (CKD). This was a retrospective study, and univariate analysis such as independent-sample t test or nonparametric test where appropriate was used to explore variables with significant difference between patients with high-grade ARAS and patients with low-grade ARAS. Then, multivariate logistic regression and receiver operating characteristic curve (ROC) analysis were performed for further research. In univariate analysis, we found that there was a significant difference in smoking history, estimated glomerular filtration rate (eGFR), cystatin C, fasting blood glucose and lymphocyte-to-monocyte ratio (LMR) between the 2 groups. Multivariate logistic regression analysis showed that eGFR (OR = 0.979, 95% CI: 0.962–0.996, P = .017), cystatin C (OR = 2.123, 95% CI: 1.118–4.030, P = .021) and LMR (OR = 0.639, 95% CI: 0.421–0.969, P = .035) were still associated with high-grade ARAS in patients with CKD. ROC analysis showed that eGFR (AUC: 0.681; sensitivity: 64.1%, specificity: 65.1%), cystatin C (AUC: 0.658; sensitivity: 74.6%, specificity: 53.85%) and LMR (AUC: 0.650; sensitivity: 66.70%, specificity: 62.00%). In patients with CKD, eGFR, and cystatin C and LMR were predictive parameters of high-grade ARAS, and among them, eGFR and LMR held the greatest predictive value for high-grade ARAS in patients with CKD.
Published Version
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