Initial experience and evaluation of a nomogram for outcome prediction in management of medium-sized (1–2 cm) kdney stones
| Autor: | Franco Bergamaschi, Bernardo Rocco, Davide Campobasso, Cosimo De Nunzio, Luca Villa, Giampaolo Bianchi, Stefano Puliatti, Pasquale Ditonno, Shaniko Kaleci, Michele Cotugno, Andrea Tubaro, Ahmed Zoeir, Tommaso Calcagnile, Ahmed Eissa, Zhamshid Okhunov, Paolo Fedelini, Jaime Landman, Giorgio Bozzini, Francesco Chiancone, A. Iseppi, Ahmed El Sherbiny, Mattia Benedetti, Luigi Schips, Marco Ticonosco, Elisa Simonetti, Pierpaolo Curti, Raphael B. Arada, Maria Chiara Sighinolfi, Giulia Bonfante, Salvatore Micali, Riccardo Galli, Elena Morini, L. Bevilacqua, Stefania Ferretti, Antonio Frattini |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
kidney Multivariate analysis Urology medicine.medical_treatment surgical treatment 030232 urology & nephrology Hydronephrosis Kidney Predictive Logistic regression Nomogram nomogram Kidney Calculi 03 medical and health sciences 0302 clinical medicine Urolithiasis medicine Humans predictive Percutaneous nephrolithotomy Retrospective Studies treatment failure Surgical treatment Univariate analysis business.industry Gold standard urolithiasis Reproducibility of Results medicine.disease Stone-free rate Nomograms Treatment failure 030220 oncology & carcinogenesis Kidney stones Radiology stone-free rate business |
| Popis: | Background The gold standard treatment for solitary medium-sized (1–2 cm) renal stones is not defined by recent guidelines, since management modalities including shockwave lithotripsy (SWL), retrograde intrarenal surgery (RIRS), and percutaneous nephrolithotomy (PNL) are recommended. Improved ability to predict patient outcomes would aid in patients’ counseling and decision-making. Objective To develop a nomogram predicting treatment failure, based on preoperative clinical variables, to be used in the preplanning setting. Design, setting, and participants We recruited 2605 patients from 14 centers and carried out a multicenter retrospective analysis of 699 SWL, 1290 RIRS, and 616 PN L procedures performed as first-line treatment for 1–2-cm kidney stones. The variables evaluated included age, gender, previous renal surgery, body mass index, stone size, location, stone density, skin-to-stone distance, presence of urinary tract infections (UTIs), and hydronephrosis. Outcome measurements and statistical analysis Multivariate logistic regression was fitted to predict treatment failure, defined as the presence of residual fragments >4 mm. A nomogram was developed based on the coefficients of the logit function. Results and limitations A total of 2431 (93.3%) patients were stone free; 174 (6.7%) treatment failures were recorded and considered the event to be predicted. On univariate analysis, type of procedure, preoperative hydronephrosis, stone density, stone location, and laterality turned out to be statistically significant. Skin-to-stone distance, UTIs, and previous renal surgery were predictors of failure on multivariate analysis. Each variable was given a score based on statistical relevance. The main limitation of the current study is its retrospective nature. Conclusions This nomogram provides a prediction of treatment failure and need of reintervention for medium-sized kidney stones. External validation is needed to determine its reproducibility and validity. Patient summary We developed a preoperative model of treatment outcomes for 1–2-cm kidney stones. Its application may assist urologists to counsel patients with regard to stone management modality. |
| Databáze: | OpenAIRE |
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