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Shock-wave Lithotripsy for Pediatric Patients: Which Nomogram Can Better Predict Postoperative Outcomes?
Fatih Yanaral1, Faruk Ozgor1, Metin Savun1
1Department of Urology, Haseki Training and Research Hospital, Istanbul, Turkey.
Urology
|April 10, 2018
Summary
The Onal and Dogan nomograms accurately predict stone-free rates in children undergoing shock-wave lithotripsy (SWL). These nomograms serve as independent preoperative factors for successful SWL outcomes in pediatric patients.
Area of Science:
- Pediatric Urology
- Nephrology
- Surgical Technology
Background:
- Kidney stones in children pose a significant health challenge.
- Shock-wave lithotripsy (SWL) is a common treatment modality for pediatric kidney stones.
- Accurate prediction of treatment success is crucial for optimizing patient management.
Purpose of the Study:
- To evaluate the accuracy of the Onal and Dogan nomograms in predicting the stone-free rate after SWL in pediatric patients.
- To compare the predictive capabilities of the Onal and Dogan nomograms.
- To identify reliable preoperative factors for SWL success in children.
Main Methods:
- Retrospective analysis of medical records of 219 children (<18 years) treated with SWL between January 2014 and December 2016.
- Calculation and comparison of Onal and Dogan nomograms for predictive accuracy of stone-free status.
- Multivariate regression analysis to identify independent predictors of SWL outcome.
Main Results:
- Both Onal and Dogan nomograms showed statistically significant differences in scores between stone-free patients and those with residual stones after the first and third SWL sessions (P=.01).
- Multivariate regression analysis confirmed both nomograms as independent preoperative factors influencing SWL outcomes in pediatric patients (P=.001).
Conclusions:
- The Onal and Dogan nomograms are reliable independent predictors of stone-free rates following SWL in pediatric populations.
- These nomograms can aid in preoperative assessment and patient selection for SWL.
- Further validation in larger cohorts may enhance their clinical utility.
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