Stavros Sfoungaristos1, Ofer N Gofrit2, Dov Pode2, Ezekiel H Landau2, Mordechai Duvdevani2. 1. Department of Urology, Hadassah and Hebrew University Medical Center, 5th Floor, Ein-Kerem, Jerusalem, Israel. sfoungaristosst@gmail.com. 2. Department of Urology, Hadassah and Hebrew University Medical Center, 5th Floor, Ein-Kerem, Jerusalem, Israel.
Abstract
PURPOSE: To identify independent predictors for postoperative stone-free status after percutaneous nephrolithotomy (PCNL) for staghorn stones and to compare Guy's, CROES and STONE nomograms regarding their predictive ability and accuracy specifically for staghorn stones. METHODS: Data of 286 patients who underwent PCNL in our department were collected and analyzed. Several parameters, including the three nomograms, were analyzed to reveal independent predictors for postoperative stone-free status. The area under the curve was used to assess the predictive ability of the independent predictors. RESULTS: A total of 73 staghorn calculi were identified with mean stone burden of 1253.5 mm(2). Mean Guy's, CROES and STONE score was 3.34, 125.8 and 9.95, respectively. Postoperative stone-free rate was 65.8 %. In univariate analysis, all three nomograms were significantly associated with stone-free status. However, STONE was the only significant independent predictor in multivariate analysis. STONE also revealed the highest predictive accuracy compared to Guy's and CROES nomogram. CONCLUSIONS: STONE nephrolithometry was found to be the only predictor for stone-free rate after PCNL for staghorn stones compared to Guy's and CROES nomograms.
PURPOSE: To identify independent predictors for postoperative stone-free status after percutaneous nephrolithotomy (PCNL) for staghorn stones and to compare Guy's, CROES and STONE nomograms regarding their predictive ability and accuracy specifically for staghorn stones. METHODS: Data of 286 patients who underwent PCNL in our department were collected and analyzed. Several parameters, including the three nomograms, were analyzed to reveal independent predictors for postoperative stone-free status. The area under the curve was used to assess the predictive ability of the independent predictors. RESULTS: A total of 73 staghorn calculi were identified with mean stone burden of 1253.5 mm(2). Mean Guy's, CROES and STONE score was 3.34, 125.8 and 9.95, respectively. Postoperative stone-free rate was 65.8 %. In univariate analysis, all three nomograms were significantly associated with stone-free status. However, STONE was the only significant independent predictor in multivariate analysis. STONE also revealed the highest predictive accuracy compared to Guy's and CROES nomogram. CONCLUSIONS: STONE nephrolithometry was found to be the only predictor for stone-free rate after PCNL for staghorn stones compared to Guy's and CROES nomograms.
Entities:
Keywords:
CROES; Guy’s stone score; Nomogram; Percutaneous nephrolithotomy; STONE; Stone-free
Authors: Glenn M Preminger; Dean G Assimos; James E Lingeman; Stephen Y Nakada; Margaret S Pearle; J Stuart Wolf Journal: J Urol Date: 2005-06 Impact factor: 7.450
Authors: Kevin Labadie; Zhamshid Okhunov; Arash Akhavein; Daniel M Moreira; Jorge Moreno-Palacios; Michael Del Junco; Zeph Okeke; Vincent Bird; Arthur D Smith; Jaime Landman Journal: J Urol Date: 2014-08-01 Impact factor: 7.450
Authors: Fabio C Vicentini; Giovanni Scala Marchini; Eduardo Mazzucchi; Joaquim F A Claro; Miguel Srougi Journal: Urology Date: 2014-03-05 Impact factor: 2.649
Authors: Dedan Opondo; Stavros Gravas; Andrian Joyce; Margaret Pearle; Tadashi Matsuda; Ying-Hao Sun; Dean Assimos; John Denstedt; Jean de la Rosette Journal: J Endourol Date: 2014-04-16 Impact factor: 2.942
Authors: Zhamshid Okhunov; Justin I Friedlander; Arvin K George; Brian D Duty; Daniel M Moreira; Arun K Srinivasan; Joel Hillelsohn; Arthur D Smith; Zeph Okeke Journal: Urology Date: 2013-03-26 Impact factor: 2.649
Authors: Mahesh Desai; Antonello De Lisa; Burak Turna; Jorge Rioja; Helena Walfridsson; Alessandro D'Addessi; Carson Wong; Jean Rosette On Behalf Of The Croes Pcnl Study Group Journal: J Endourol Date: 2011-07-20 Impact factor: 2.942
Authors: Ramazan Kocaaslan; Abdulkadir Tepeler; Ibrahim Buldu; Muhammed Tosun; Mehmet Mazhar Utangac; Tolga Karakan; Ekrem Ozyuvali; Namik Kemal Hatipoglu; Ali Unsal; Kemal Sarica Journal: Urolithiasis Date: 2016-07-12 Impact factor: 3.436