MP85-09 PREDICTIVE FACTORS AND FORMULA OF CHRONIC RENAL INSUFFICIENCY AFTER RADICAL NEPHRECTOMY. (2015)

You have accessJournal of UrologyTransplantation & Vascular Surgery: Renal Transplantation & Vascular Surgery II1 Apr 2015MP85-09 PREDICTIVE FACTORS AND FORMULA OF CHRONIC RENAL INSUFFICIENCY AFTER RADICAL NEPHRECTOMY. Thibaut Benoit, Xavier Game, Rouvellat Philippe, Nicolas Doumerc, Mathieu Roumiguie, Jean Baptiste Beauval, Michel Soulie, Pascal Rischmann, and Bernard Malavaud Thibaut BenoitThibaut Benoit More articles by this author , Xavier GameXavier Game More articles by this author , Rouvellat PhilippeRouvellat Philippe More articles by this author , Nicolas DoumercNicolas Doumerc More articles by this author , Mathieu RoumiguieMathieu Roumiguie More articles by this author , Jean Baptiste BeauvalJean Baptiste Beauval More articles by this author , Michel SoulieMichel Soulie More articles by this author , Pascal RischmannPascal Rischmann More articles by this author , and Bernard MalavaudBernard Malavaud More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1863AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Robust estimation of the post-operative GFR would represent valuable information when nephrectomy is considered. The aim of this study was to determine predictive factors and formula to anticipate from preoperative glomerular filtration rate and patient's characteristics the post-nephrectomy glomerular filtration rate as estimated from creatinine based CKD-EPI eGFR (CKDEPIeGFR) formula. METHODS A retrospective study based on data from patients who underwent laparoscopic live donor nephrectomy was carried out. Spearman's rank test was used to establish correlations and Student's t test to compare classes. Predictors of post-operative CKDEPIeGFR were identified by univariate and multivariate analyses. Multiple linear regression analyses were then performed to generate models predicting post-radical nephrectomy CKDEPIeGFR from a selection of preoperative factors in a training group of the cohort (n = 131). The model has been tested in a validation group of the cohort (n=59). Models were then tested in terms of sensitivity/specificity in an independent validation cohort. RESULTS 180 records were available in the teaching cohort (Mean age at surgery 51±11 years, CKDEPIeGFR 94.5±15.8 and 64.2±14.9mL.min-1.73m2, pre and postoperatively). Postoperative CKDEPIeGFR values were significantly related to kidney size (Spearman's r=-0.173, p<0.05), gender (r=0.201, p=0.025) and pre-operative CKDEPIeGFR (r=0.673, p<0.0001). No differences were observed in relation to side, diabetes, high blood pressure, and hypercholesterolemia. In multivariate analysis the only independent variable was pre-operative CKD-EPIeGFR. One formula (post-operative CKDEPIeGFR = (0,6357∗pre-operative CKDEPIeGFR)+4,42) was produced from significant and independent preoperative factor (r=0.66, IC95%(0.54-0.75), p<0.00001). This formula was validated in the validation set. (Mean observed post-operative CKDEPIeGFR=63.1±13.5 vs mean estimated post-operative CKDEPIeGFR=64±9.8, p=0,51) (Figure 1) CONCLUSIONS A simple formula was generated and validated in an independent cohort to predict <60mL.min-1.m2 post-operative CKDEPIeGFR in patients who underwent laparoscopic live donor nephrectomy. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e1069-e1070 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Thibaut Benoit More articles by this author Xavier Game More articles by this author Rouvellat Philippe More articles by this author Nicolas Doumerc More articles by this author Mathieu Roumiguie More articles by this author Jean Baptiste Beauval More articles by this author Michel Soulie More articles by this author Pascal Rischmann More articles by this author Bernard Malavaud More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...