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Submission Status
Submitted
Abstract
Abstract Title
Development of a Novel Clinical Prediction Model for the Number of ESWL (Extracorporeal Shock Wave Lithotripsy) Sessions Needed for Stone Clearance
Presentation Type
Podium Abstract
Manuscript Type
Clinical Research
Abstract Category *
Endourology: Urolithiasis
Author's Information
Number of Authors (including submitting/presenting author) *
3
No more than 10 authors can be listed (as per the Good Publication Practice (GPP) Guidelines).
Please ensure the authors are listed in the right order.
Country
United Kingdom
Co-author 1
Tsz Man Li tiffanylitm97@gmail.com Churchill Hospital Urology Department Oxford United Kingdom *
Co-author 2
Richard Menzies-Wilson Richard.Menzies-Wilson@ouh.nhs.uk Churchill Hospital Urology Department Oxford United Kingdom -
Co-author 3
Benjamin Turney Ben.Turney@ouh.nhs.uk Churchill Hospital Urology Department Oxford United Kingdom -
Co-author 4
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Co-author 11
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Co-author 13
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Abstract Content
Introduction
Extracorporeal Shock Wave Lithotripsy (ESWL) is the recommended treatment for renal stones ≤20 mm or ureteric stones ≤10 mm, according to the European Association of Urology guideline. Predicting the number of ESWL sessions required to achieve treatment success is valuable for patient counselling, resource planning, and improving cost-effectiveness. We aim to develop a novel prediction model for the number of ESWL sessions needed to treat urolithiasis.
Materials and Methods
Eligible patients aged ≥16 years who underwent ESWL within the Oxford University Hospitals Trust from January 2013 to June 2021 were included in this retrospective cohort study. Patient demographics, stone characteristics, and ESWL variables were extracted at the first ESWL session for each stone episode. Univariate and multivariate analyses were conducted using Stata BE (version 18.0).
Results
A total of 5,711 stone episodes were included, 1,201 (21%) of which achieved treatment success with ESWL. 67% (n = 808) of patients required only one ESWL session. Univariate analysis using Poisson regression identified age, stone size, stone location, number of shocks, Storz Medical Lithotripsy Index (SMLI), and focus of the shockwave as statistically significant predictors of the number of ESWL sessions. These variables were subsequently included in a multivariate analysis, with results shown in Table 1.
Conclusions
The ability to predict the number of ESWL sessions required is a valuable tool for shared decision-making and identifying the most suitable treatment for urolithiasis. To date, this is the first study to attempt such prediction. The next phase involves developing a probability calculator for clinicians to integrate into daily practice.
Keywords
Extracorporeal Shock Wave Lithotripsy, Storz Medical Lithotripsy Index, Clinical Prediction Rule
Figure 1
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Character Count
1356
Vimeo Link
Presentation Details
Session
Free Paper Podium(02): Endourology (A)
Date
Aug. 14 (Thu.)
Time
16:30 - 16:36
Presentation Order
11