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Table 2 Multiple logistic regression analysis for independent predictors of RAS ≥50%

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

Predictors

Coefficient β

OR (95% CI)

p-value

Significant CAD*

1.724

5.6 (2.9-11.0)

<0.0001

Extent of CAP

One side

0.958

2.6 (1.0-6.8)

0.0503

Both sides

1.584

4.9 (2.1-11.1)

0.0002

CKD Stage ≥3

1.566

4.8 (2.1-11.0)

0.0002

Four or more AHM

1.563

4.8 (1.5-14.8)

0.0069

CIMT ≥1.0 mm

0.849

2.3 (1.2-4.5)

0.0109

Age ≥ 67 years

0.831

2.3 (1.2-4.6)

0.0173

BMI < 22 kg/m2

0.872

2.4 (1.2-4.9)

0.0174

  1. Multiple logistic regression analysis was performed using a backward selection method.
  2. *Stenosis ≥70% in at least one coronary artery.
  3. OR, odds ratio; CI, confidence interval; CAD, coronary artery disease; AHM, antihypertensive medications; eGFR, estimated glomerular filtration rate; CIMT, carotid intima-media thickness; CAP, carotid atherosclerotic plaque.
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BMC Nephrology

ISSN: 1471-2369

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