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Bapir R, Bhatti K, El-Shazly M, Galan JA, Harraz AM, Noori Mahmood S, Pedro RN, Vargas P, Papatsoris A, Trinchieri A, Buchholz N. Development and internal validation of El-Shazly-Buchholz's nomogram to predict postoperative complications after PCNL: A multicenter study. Arch Ital Urol Androl 2024; 96:13295. [PMID: 39692404 DOI: 10.4081/aiua.2024.13295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 10/28/2024] [Indexed: 12/19/2024] Open
Abstract
INTRODUCTION A model to predict the risk of surgical complications following percutaneous nephrolithotomy (PCNL) could be a useful tool to guide clinical decision-making. The aim of this study was to develop a simple and widely applicable stratification tool to be used for patient counseling, surgical planning, evaluation of outcomes, and academic reporting. METHODS Data of patients who underwent PCNL were retrieved from the database of the collaborating centers including demographics of patients, characteristics of their stones and urinary tracts, and perioperative data. The primary outcome was the development of postoperative complications. Data were randomly split into a training dataset (85%) and a validation dataset (15%). A univariate and multivariate logistic regression analysis of the training dataset was performed to identify independent predictors of postoperative complications. Model variables were used to construct a nomogram that was internally validated on the testing dataset by measuring calibration, discrimination, and plotting the decision curve. RESULTS Six hundred thirty one patients (245 Males) with a median (IQR) age of 49 (37-56) years were included. Post-operative complications occurred in 147 (23.3%) patients. Significant predictors of complications included preoperative urine culture (p < 0.001), largest stone diameter (p = 0.02), and intraoperative blood loss (p = 0.002). A nomogram was developed from the predictors and applied to the validation dataset showing an area under the curve (95%CI) of 66.4% (52.2;80.6). CONCLUSIONS This new scoring system emphasized patient characteristics and operative details rather than stone characters to predict the morbidity of PCNL. Furthermore, it should facilitate risk adjustment, enabling physicians to better define the nephrolithiasis disease continuum and identify patients who should be referred to tertiary care centers.
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Affiliation(s)
- Rawa Bapir
- Department of Urology, Sulaymaniyah Surgical Teaching Hospital, Sulaymaniyah; Smart Health Tower, Sulaymaniyah.
| | | | | | - Juan Antonio Galan
- Department of Urology, Dr. Balmis General University Hospital, Alicante Institute for Health and Biomedical Research (ISABIAL), Alicante.
| | - Ahmed M Harraz
- Mansoura University Urology and Nephrology Center, Mansoura.
| | | | - Renato N Pedro
- Division of Urology, Faculdade de Medicina São Leopoldo Mandic de Campinas, Sao Paulo.
| | - Pablo Vargas
- Marina Baixa Hospital, La Vila Joiosa, Alicante.
| | - Athanasios Papatsoris
- 2nd Department of Urology, School of Medicine, Sismanoglio Hospital, National and Kapodistrian University of Athens; U-merge Scientific Office.
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Campobasso D, Panizzi M, Bellini V, Ferretti S, Amparore D, Castellani D, Fiori C, Puliatti S, Pietropaolo A, Somani BK, Micali S, Porpiglia F, Maestroni UV, Bignami EG. Application of AI in urolithiasis risk of infection: a scoping review. Minerva Urol Nephrol 2024; 76:295-302. [PMID: 38920010 DOI: 10.23736/s2724-6051.24.05686-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/27/2024]
Abstract
INTRODUCTION Artificial intelligence and machine learning are the new frontier in urology; they can assist the diagnostic work-up and in prognostication bring superior to the existing nomograms. Infectious events and in particular the septic risk, are one of the most common and in some cases life threatening complication in patients with urolithiasis. We performed a scoping review to provide an overview of the current application of AI in prediction the infectious complications in patients affected by urolithiasis. EVIDENCE ACQUISITION A systematic scoping review of the literature was performed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses for Scoping Reviews (PRISMA-ScR) guidelines by screening Medline, PubMed, and Embase to detect pertinent studies. EVIDENCE SYNTHESIS A total of 467 articles were found, of which nine met the inclusion criteria and were considered. All studies are retrospective and published between 2021 and 2023. Only two studies performed an external validation of the described models. The main event considered is urosepsis in four articles, urinary tract infection in two articles and diagnosis of infection stones in three articles. Different AI models were trained, each of which exploited several types and numbers of variables. All studies reveal good performance. Random forest and artificial neural networks seem to have higher AUC, specificity and sensibility and perform better than the traditional statistical analysis. CONCLUSIONS Further prospective and multi-institutional studies with external validation are needed to better clarify which variables and AI models should be integrated in our clinical practice to predict infectious events.
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Affiliation(s)
| | - Matteo Panizzi
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Valentina Bellini
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy
| | - Stefania Ferretti
- Department of Urology, University of Modena e Reggio Emilia, Modena, Italy
| | - Daniele Amparore
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
| | - Daniele Castellani
- Department of Urology, Azienda Ospedaliera Universitaria delle Marche, Università Politecnica delle Marche, Ancona, Italy
| | - Cristian Fiori
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
| | - Stefano Puliatti
- Department of Urology, University of Modena e Reggio Emilia, Modena, Italy
| | - Amelia Pietropaolo
- Department of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Bhaskar K Somani
- Department of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Salvatore Micali
- Department of Urology, University of Modena e Reggio Emilia, Modena, Italy
| | - Francesco Porpiglia
- Division of Urology, Department of Oncology, School of Medicine, San Luigi Gonzaga Hospital, University of Turin, Turin, Italy
| | | | - Elena G Bignami
- Anesthesiology, Critical Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma, Italy
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Fiori C, Cossu M, Poggio M, Quarà A, Di Dio M, De Luca S, Checcucci E, Manfredi M, Amparore D, Porpiglia F. Initial experience with robot-assisted ureteroscopy with Ily® Robot. Minerva Urol Nephrol 2023; 75:761-765. [PMID: 38126287 DOI: 10.23736/s2724-6051.23.05572-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023]
Abstract
The aim of this study is to present the first Italian experience with robotic-assisted retrograde intrarenal surgery (rRIRS) using the Ily® platform. Procedures were performed for renal stones using the Ily® Robot (STERLAB, Vallauris, France), which is a ureteroscope holder with multiple degrees of freedom that can be controlled remotely through a wireless controller. In March 2023, consecutive patients with indications for rRIRS were included in the study. Demographic variables and stone characteristics were collected, and standard perioperative data were assessed. The one-month stone-free rate (SFR, i.e. no residual fragments) was evaluated using ultrasound. All participating surgeons filled out a Surgeons' Satisfaction Questionnaire (SSQ) based on a Likert-type scale. The questionnaire focused on: 1) ease of use; 2) ergonomics during renal cavity exploration; 3) stability during stone fragmentation. Among the patients, one had bilateral stones, while two had stones on the right side. The mean stone size was 13 mm. The average operative time was 70 minutes and the mean docking time was three minutes. No perioperative complications were recorded, and all patients were discharged on the first postoperative day. The one-month SFR was 100%. The SSQ scores were as follows: 1) ease of use: 4/5; 2) ergonomics: 5/5; 3) stability during stone fragmentation: 5/5. Based on the initial experience, the results indicate the feasibility, safety, and effectiveness of rRIRS. The ergonomic efficiency of the system was highly appreciated by the surgeons. While a cost-effectiveness analysis within clinical trials is necessary, rRIRS shows the potential for a more sustainable future for endoscopists and an improved workplace environment.
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Affiliation(s)
- Cristian Fiori
- Department of Oncology, University of Turin, Turin, Italy -
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy -
| | - Marco Cossu
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | | | - Alberto Quarà
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | - Michele Di Dio
- Department of Surgery, Division of Urology, SS Annunziata Hospital, Cosenza, Italy
| | - Stefano De Luca
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | | | - Matteo Manfredi
- Department of Oncology, University of Turin, Turin, Italy
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | - Daniele Amparore
- Department of Oncology, University of Turin, Turin, Italy
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
| | - Francesco Porpiglia
- Department of Oncology, University of Turin, Turin, Italy
- Division of Urology, San Luigi Gonzaga Hospital, Orbassano, Turin, Italy
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Esperto F, Pietropaolo A, Emiliani E, DE Coninck V, Tailly T, Keller EX, Talso M, Tonyali S, Sener ET, Zeesha Nhameed BM, Tzelves L, Ventimiglia E, Juliebø-Jones P, Faiella E, Mykoniatis I, Tsaturyan A, Scarpa RM. Unveiling the impact of stone disease: enhancing quality of life through comprehensive care. Minerva Urol Nephrol 2023; 75:658-660. [PMID: 37728501 DOI: 10.23736/s2724-6051.23.05537-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/21/2023]
Affiliation(s)
| | - Amelia Pietropaolo
- Department of Urology, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - Esteban Emiliani
- Department of Urology, Puigvert Foundation, Autonomous University of Barcelona, Barcelona, Spain
| | | | - Thomas Tailly
- Department of Urology, Gent University Hospital, Gent, Belgium
| | - Etienne X Keller
- Department of Urology, Zurich University Hospital, University of Zurich, Zurich, Switzerland
| | - Michele Talso
- Department of Urology, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
| | - Senol Tonyali
- Department of Urology, Istanbul School of Medicine, Istanbul University, Istanbul, Türkiye
| | - Emre T Sener
- Department of Urology, Marmara University School of Medicine, Istanbul, Türkiye
| | | | - Lazaros Tzelves
- Department of Urology, University College of London Hospital, London, UK
| | - Eugenio Ventimiglia
- Division of Experimental Oncology, Unit of Urology, Urological Research Institute, IRCCS, San Raffaele Hospital, Milan, Italy
| | | | - Eliodoro Faiella
- Department of Radiology, Campus Bio-Medico University, Rome, Italy
| | | | - Arman Tsaturyan
- Department of Urology, Erebouni Medical Center, Yerevan, Armenia
| | - Roberto M Scarpa
- Department of Urology, Campus Bio-Medico University, Rome, Italy
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Esperto F, Pietropaolo A, Emiliani E, De Coninck V, Tailly T, Keller EX, Talso M, Tonyali S, Sener ET, Zeeshan Hameed BM, Tzelves L, Ventimiglia E, Juliebø-Jones P, Faiella E, Mykoniatis I, Tsaturyan A, Scarpa RM. Quality of life of patients with stone disease: timing, planning, strategies, and prevention of a systemic pathology. Minerva Urol Nephrol 2023; 75:422-424. [PMID: 37314814 DOI: 10.23736/s2724-6051.23.05435-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Affiliation(s)
- Francesco Esperto
- Department of Urology, Campus Biomedico University of Rome, Rome, Italy -
| | - Amelia Pietropaolo
- Department of Urology, University Hospital of Southampton NHS Foundation Trust, Southampton, UK
| | - Esteban Emiliani
- Department of Urology, Puigvert Foundation, Autonomous University of Barcelona, Barcelona, Spain
| | | | - Thomas Tailly
- Department of Urology, University Hospital of Ghent, Ghent, Belgium
| | - Etienne X Keller
- Department of Urology, University Hospital of Zurich, University of Zurich, Zurich, Switzerland
| | - Michele Talso
- Department of Urology, ASST Fatebenefratelli-Sacco, Luigi Sacco University Hospital, Milan, Italy
| | - Senol Tonyali
- Department of Urology, Istanbul School of Medicine, University of Istanbul, Istanbul, Türkiye
| | - Emre T Sener
- Department of Urology, Marmara University School of Medicine, Istanbul, Türkiye
| | | | - Lazaros Tzelves
- Department of Urology, University College of London Hospital, London, UK
| | - Eugenio Ventimiglia
- Division of Experimental Oncology, Unit of Urology, Urological Research Institute, IRCCS San Raffaele Hospital, Milan, Italy
| | - Patrick Juliebø-Jones
- Department of Urology, Haukeland University Hospital, Norway University, Bergen, Norway
| | - Eliodoro Faiella
- Department of Radiology, Campus Biomedico University of Rome, Rome, Italy
| | - Ioannis Mykoniatis
- Department of Urology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Arman Tsaturyan
- Department of Urology, Erebouni Medical Center, Yerevan, Armenia
| | - Roberto M Scarpa
- Department of Urology, Campus Biomedico University of Rome, Rome, Italy
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Zhong W, Xu J, Mazzon G, Zheng Z, Maolei Y, Li Z, Zeng G. Translation and validation of the Chinese version of Wisconsin Stone Quality of Life questionnaire in patients with kidney stones. Minerva Urol Nephrol 2023; 75:353-358. [PMID: 36094387 DOI: 10.23736/s2724-6051.22.04905-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/16/2023]
Abstract
BACKGROUND Wisconsin Stone Quality of Life (WISQOL) has been designed specifically for patients with kidney stones. The present study aimed to develop the Chinese version of WISQOL and reach its validation. METHODS The WISQOL was translated into Chinese following a standard procedure. Kidney stone patients admitted for surgical treatment were enrolled and fulfilled both WISQOL and SF-36 on the admission day and at one month postoperatively. The internal consistency, inter-domain correlation and convergent validity were analyzed. RESULTS One hundred twenty-four 124 males and 76 females were enrolled. The total WISQOL Score and SF-36 had significant correlation both preoperatively (r=0.772, P<0.01) and postoperatively (r=0.639, P<0.01). The internal consistency of the Chinese version WISQOL's different domains ranged from 0.766 to 0.959. The value of Spearman rank correlation to assess the convergent validity of different domains ranged from 0.444 to 0.687. The postoperative WISQOL raised about 20% showing a better quality of life. CONCLUSIONS The Chinese version of WISQOL questionnaire was a reliable tool to evaluate the health quality of life in Chinese-speaker patients with kidney stones. To evaluate its test-retest reliability, reliability and validity in a longer term, further studies are required.
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Affiliation(s)
- Wen Zhong
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jiandong Xu
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Giorgio Mazzon
- Department of Urology, San Bassiano Hospital, Bassano del Grappa, Vicenza, Italy
| | - Zexian Zheng
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yafang Maolei
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhifeng Li
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Guohua Zeng
- Department of Urology and Guangdong Key Laboratory of Urology, First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China -
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Validation of the Trifecta Scoring Metric in Vacuum-Assisted Mini-Percutaneous Nephrolithotomy: A Single-Center Experience. J Clin Med 2022; 11:jcm11226788. [PMID: 36431265 PMCID: PMC9697932 DOI: 10.3390/jcm11226788] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 11/01/2022] [Accepted: 11/14/2022] [Indexed: 11/18/2022] Open
Abstract
Background: Scoring metrics to assess and compare outcomes of percutaneous nephrolithotomy (PCNL) are needed. We aim to evaluate prevalence and predictors of trifecta in a cohort of patients treated with vacuum-assisted mini-percutaneous nephrolithotomy (vmPCNL) for kidney stones. Methods: Data from 287 participants who underwent vmPCNL were analysed. Patients’ and stones’ characteristics as well as operative data were collected. Stone-free was defined as no residual stones. The modified Clavien classification was used to score postoperative complications. Trifecta was defined as stone-free status without complications after a single session and no auxiliary procedures. Descriptive statistics and logistic regression models tested the association between predictors and trifecta outcome. Results: After vmPCNL, 219 (76.3%) patients were stone-free, and 81 (28.2%) had postoperative complications (any Clavien). Of 287, 170 (59.2%) patients achieved trifecta criteria. Patients who achieved trifecta status had smaller stone volume (p < 0.001), a higher rate of single stones (p < 0.001), shorter operative time (p < 0.01), and a higher rate of single percutaneous tract (p < 0.01) than −trifecta patients. Trifecta status decreased with the number of calyces involved, being 77.1%, 18.8%, and 4.1% in patients with 1, 2, or 3 calyces with stones, respectively (p < 0.001). Multivariable logistic regression analysis showed that stone volume (OR 1.1, p = 0.02) and multiple calyces being involved (OR 2.8 and OR 4.3 for two- and three-calyceal groups, respectively, all p < 0.01) were independent unfavourable risk factors for trifecta after accounting for age, BMI, gender, operative time, and number of access tracts. Conclusions: Trifecta status was achieved in 6 out of 10 patients after vmPCNL. Stone distribution in multiple calyceal groups and stone volume were independent unfavourable risk factors for trifecta.
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