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Figure 2 | BMC Nephrology

Figure 2

From: A prediction model for renal artery stenosis using carotid ultrasonography measurements in patients undergoing coronary angiography

Figure 2

Predictors of RAS ≥50%. The odds ratio and CI are derived from multiple logistic regression analysis including all variables. The ruler is transformed into a log-scale. Triangles indicate OR, black bars 90% CI and grey bars 95% CI. Numbers inside the brackets indicate the optimal cut-off points for the continuous variables, derived from the Youden index-J of ROC curve analysis. Significant CAD, CKD stage ≥3, four or more AHM, CAP, CIMT ≥1.0 mm, BMI <22 kg/m2 and Age ≥67 years are significant predictor for RAS ≥50%. CAD, coronary artery disease; CKD, chronic kidney disease; AHM, anti-hypertensive medication; BMI, body mass index; HDL, high density lipoprotein; CIMT, carotid intima-media thickness; CAP, carotid atherosclerotic plaque; RAS, renal artery stenosis, CI, confidence interval.

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