Literature DB >> 15944997

How to limit screening of patients for atheromatous renal artery stenosis in two-drug resistant hypertension?

Michel Ducher1, Catherine Cerutti, Andre Marquand, Claire Mounier-Vehier, Olivier Hanon, Xavier Girerd, Christophe Ader, Laurent Juillard, Jean-Pierre Fauvel.   

Abstract

BACKGROUND: The DRASTIC model based on nine variables (age, gender, recent onset of hypertension, smoking status, body mass index (BMI), abdominal bruit, atherosclerosis, dyslipidemia and creatininemia) has been proposed to predict renal artery stenosis (RAS) occurrence.
METHODS: In a prospective multicenter study, the clinical usefulness of the DRASTIC model was checked in 336 patients with two-drug resistant hypertension. RAS was excluded using at least color Doppler sonography. RAS was diagnosed using at least renal angiography. The statistical dependence (Z(Rho)) analysis was applied to investigate further the relationships between each variable and presence of RAS.
RESULTS: The prevalence of RAS (n=51) was 15%. The goodness-of-fit test that compared observed RAS to predicted RAS using the DRASTIC model was not significant. Accordingly, the multivariate logistic regression indicated that only three parameters (abdominal bruit, atherosclerotic vascular disease and BMI <25 kg/m2) were significantly linked to RAS. The Z(Rho) methodology revealed that calculated renal function <60 ml/min and age >58 yrs (median) were also significantly linked to RAS. No variable or combination of variables offered satisfactory positive predictive values for the RAS diagnosis. The combination of the five significantly linked variables had a negative predictive value of 98%, and allowed RAS detection with a sensitivity of 96%. In our population, RAS screening could have been avoided in 30% of our patients screened.
CONCLUSIONS: The DRASTIC model was unsuitable for clinical use in our sample population. In our population, renal arteries were considered stenosis free with a probability of 98% in refractory hypertensive overweight patients, aged < or = 58 yrs, with satisfactory renal function and without both abdominal bruit and atherosclerotic vascular disease.

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Year:  2005        PMID: 15944997

Source DB:  PubMed          Journal:  J Nephrol        ISSN: 1121-8428            Impact factor:   3.902


  3 in total

1.  Prevalence of renal artery stenosis in patients undergoing cardiac catheterization.

Authors:  Carmelita Marcantoni; Marcantoni Carmelita; Stefania Rastelli; Rastelli Stefania; Luca Zanoli; Zanoli Luca; Giovanni Tripepi; Tripepi Giovanni; Marilena Di Salvo; Di Salvo Marilena; Sergio Monaco; Monaco Sergio; Carmelo Sgroi; Sgroi Carmelo; Davide Capodanno; Capodanno Davide; Corrado Tamburino; Tamburino Corrado; Pietro Castellino; Castellino Pietro
Journal:  Intern Emerg Med       Date:  2011-05-25       Impact factor: 3.397

2.  A Comparison of Logistic Regression Model and Artificial Neural Networks in Predicting of Student's Academic Failure.

Authors:  Saeed Hosseini Teshnizi; Sayyed Mohhamad Taghi Ayatollahi
Journal:  Acta Inform Med       Date:  2015-10-05

3.  Comparison of a Bayesian network with a logistic regression model to forecast IgA nephropathy.

Authors:  Michel Ducher; Emilie Kalbacher; François Combarnous; Jérome Finaz de Vilaine; Brigitte McGregor; Denis Fouque; Jean Pierre Fauvel
Journal:  Biomed Res Int       Date:  2013-11-17       Impact factor: 3.411

  3 in total

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