Literature DB >> 30547902

External validation of Imamura nomogram as a tool to predict preoperatively laser semi-rigid ureterolithotripsy outcomes.

Cosimo De Nunzio1, Mariangela Bellangino2, Olivia A Voglino2, Valeria Baldassarri2, Riccardo Lombardo2, Matteo Pignatelli3, Giorgia Tema2, Eva Berardi3, Antonio Cremona3, Andrea Tubaro2.   

Abstract

BACKGROUND: We aimed to validate Imamura nomogram for prediction of stone free rate in patients undergoing ureterolithotripsy (ULT).
METHODS: From January 2013 to June 2016, patients undergoing laser semi-rigid ULT were prospectively enrolled at our center. All patients were preoperatively assessed with clinical history, blood samples, uranalysis and non-contrast enhanced computed tomography (CT). Treatment efficacy was assessed 1 month later by non-contrast enhanced CT. ROC curve was used to evaluate the performance characteristics of Imamura nomogram.
RESULTS: Overall, we enrolled 275 patients. Median age was 55 years (IQR: 46/64), median length of stone was 9.8 mm (IQR: 7.5/12). Pyuria was detected in 6/275 (2.1%) patients. Stones were located at ureteropelvic junction in 55/275 (19%) patients, proximal ureter in 74/275 (26%) patients, middle and distal ureter in 66/275 (24%) patients and 82/275 (30%) patients, respectively. At 1-month follow-up, 209/275 (76%) patients were stone free. Imamura nomogram presented an AUC of 0.67 (95% CI: 0.580-0.761) for the prediction of stone free rate. At the best cut-off value of 75%, sensitivity was 76%, specificity was 55%, positive predictive value (PPV) was 83% and negative predictive value was 45%.
CONCLUSIONS: We firstly validated Imamura nomogram in a European cohort study. It proved a reasonable accuracy (area under curve: 0.67) and a good PPV (83%). Further studies should confirm our results to support the routine clinical use of Imamura nomogram as a tool to predict ULT outcomes.

Entities:  

Year:  2018        PMID: 30547902     DOI: 10.23736/S0393-2249.18.03243-5

Source DB:  PubMed          Journal:  Minerva Urol Nefrol        ISSN: 0393-2249            Impact factor:   3.720


  2 in total

1.  A simple predictive model with internal validation for assessment of stone-left after ureteroscopic lithotripsy in upper ureteral stones.

Authors:  Weisong Wu; Jiaqiao Zhang; Rixiati Yi; Xianmiu Li; Wenlong Wan; Xiao Yu
Journal:  Transl Androl Urol       Date:  2022-06

2.  Development of a nomogram predicting the probability of stone free rate in patients with ureteral stones eligible for semi-rigid primary laser uretero-litothripsy.

Authors:  Cosimo De Nunzio; Jamil Ghahhari; Riccardo Lombardo; Giorgio Ivan Russo; Ana Albano; Antonio Franco; Valeria Baldassarri; Antonio Nacchia; Juan Lopez; Pilar Luque; Maria Jose Ribal; Antonio Alcaraz; Andrea Tubaro
Journal:  World J Urol       Date:  2021-06-26       Impact factor: 4.226

  2 in total

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