Background: The aim of the present study was to develop and internally validate a simple stone score (SSS) to estimate the probability of clinically significant residual fragments (CSRF) prior to percutaneous nephrolithotomy (PNL).
Methods: The files of 1170 PNL procedures between January and December 2015 were evaluated. CT-derived stone characteristics were examined. Caliceal stone distribution (CSD) was assigned three grades based on the number of calices involved regardless of the renal pelvis (I = no or single calix; II = more than one calix; and III = more than 2 calices or complete staghorn stones). CSRF was defined as any residuals >4 mm in postoperative CT. A logistic regression model to predict the CSRF was fitted, and coefficients were used to develop the SSS. The SSS was validated by discrimination, calibration, and decision curve analysis (DCA).
Results: Patients' data were split into training (936, 80%) and validating (234, 20%) datasets. In the training partition, independent predictors of CSRF were CSD-grade II (OR: 4.2; 95%CI: 2.5-7; P<0.001), grade III (OR: 7.8; 95%CI: 4.2-14.4; P<0.001) and largest stone diameter (LSD) (OR:1.3; 95%CI: 1.1-1.6; P<0.001). Score points 0, 1, 2, and 0, 3, 9 were given to LSD<30, 30-40, >40 mm, and CSD grades I, II, III, respectively. Discrimination of the SSS was 0.79 and after 10-fold cross-validation and internal validation was 0.86. The calibration plot and DCA highlighted the validity and clinical significance of the SSS.
Conclusions: The novel SSS could be used to describe the risk of CSRF prior to PNL. Further studies are invited for external validation.
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http://dx.doi.org/10.23736/S2724-6051.20.04055-2 | DOI Listing |
Arch Ital Urol Androl
December 2024
U-merge Scientific Office.
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.
Front Surg
November 2024
Department of Urology, The Second Hospital of Dalian Medical University, Dalian, China.
Background: Small prostates (volume <30 ml) induce bladder outlet obstruction with pathophysiological changes distinct from those associated with large prostates. Treatment options often include transurethral incision of the prostate (TUIP) or transurethral resection of the prostate (TURP). Existing treatments have issues with high recurrence and complication rates.
View Article and Find Full Text PDFJ Oral Biol Craniofac Res
November 2024
Ramaiah University of Applied Sciences (RUAS), Bengaluru, India.
Objective: This study aimed to compare a direct conventional 3D digital technique vis a vis a hybrid method in measuring palatal volume.
Materials And Methods: Thirty maxillary casts were obtained from the records of patients undergoing orthodontic treatment and pre-conceived boundaries of the palatal vault were marked. Sample was categorised into Group I (Volume estimation using CBCT scan) and Group II (Volume estimation using hybrid method).
Arch Esp Urol
November 2024
Department of Urology, Affiliated Hospital of Qingdao University, 266000 Qingdao, Shandong, China.
Mayo Clin Proc
December 2024
Feinberg School of Medicine, Northwestern University, Chicago, IL; Department of Medicine, Division of Cardiology, Northwestern University, Chicago, IL.
Statins are the mainstay of cholesterol treatment to prevent atherosclerotic cardiovascular disease. However, significant barriers, including physician and patient factors, prevent the optimal use of this drug class. In this article, we provide 10 clear and simple tips for clinicians when prescribing statins.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!