Clinical and kidney morphologic predictors of outcome for renal artery stenting
This prediction tool identifies clinical and kidney morphologic features that predict a favorable blood pressure response to renal artery stenting (c-statistic: 0.90).
Details Formula Study characteristics Files & References
Model author
Model ID
Revision date
MeSH terms
  • Blood Pressure
  • Clinical Prediction Rule
  • Kidney
  • Renal Artery Stenosis
  • Model type
    Logistic regression (Calculation)
    No Formula defined yet
    Condition Formula

    Additional information

    The study cohort consisted of 149 patients who underwent primary RAS by clinicians in the Departments of Surgery and Radiology at the University of Texas Southwestern Medical Center and its affiliated hospitals between January 1, 2000, and July 1, 2008. A retrospective review of these patients is reported. The study was approved by the Institutional Review Boards of the participating institutions. Patients who underwent RAS by cardiologists were not included in the study cohort. Exclusion criteria included nonatherosclerotic lesions and treatment of secondary lesions after prior angioplasty or stenting.

    Study Population

    Total population size: 149
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    Females: {{ model.numberOfFemales }}

    Continuous characteristics

    Name LL Q1 Median Q3 UL Unit
    Age 60 (IQR) 68 74 (IQR) years

    Categorical characteristics

    Name Subset / Group Nr. of patients
    Race White 96
    African-American 33
    Hispanic/Other 20
    Hypertension Yes 149
    No 0
    Chronic renal insufficiency Yes 74
    No 75
    Diabetes Yes 54
    No 95
    Coronary artery disease Yes 85
    No 64
    Hyperlipidemia Yes 61
    No 88
    Tobacco history Yes 132
    No 17
    COPD Yes 34
    No 115

    Supporting Publications

    Probability of improved blood pressure with RAS

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    Probability of improved blood pressure with RAS

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    Outcome stratification

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    Conditional information

    Result interpretation

    The c-statistic (discriminative power) for the model was .90, indicating an excellent ability to discriminate blood pressure responders from nonresponders. The sensitivity and specificity for the model were 0.94 and 0.73, respectively. The positive predictive value was 0.64, whereas the negative predictive value was 0.94. The R2 for the model was 0.43, indicating that less than half of the variance in outcomes could be explained by the three predictors from the model.

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    Calculations alone should never dictate patient care, and are no substitute for professional judgement. See our full disclaimer.

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