Underactive bladder in children is characterized by low voiding frequency; straining, hypotonic high capacity bladder, and significant residual urine. The usual presentation is recurrent urinary tract infections. Accurate evidence-based diagnosis and treatment is crucial. Subjective and objective improvement and regain of normal voiding can be achieved in response to bladder rehabilitation program and correction of serious complications.
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| http://dx.doi.org/10.1016/j.eucr.2014.12.008 | DOI Listing |
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Reply to Aravindh Rathinam, Jonathan Katz, Robert Marcovich, and Hemendra N. Shah's Letter to the Editor re: Michael Baboudjian, Hashim Hashim, Nikita Bhatt, et al. Summary Paper on Underactive Bladder from the European Association of Urology Guidelines on Non-neurogenic Male Lower Urinary Tract Symptoms. Eur Urol 2024;86:213-20.
Eur Urol
December 2024
Department of Urology, CHU Hôpitaux de Rouen-Hôpital Charles Nicolle, Rouen, France.
Re: Michael Baboudjian, Hashim Hashim, Nikita Bhatt, et al. Summary Paper on Underactive Bladder from the European Association of Urology Guidelines on Non-neurogenic Male Lower Urinary Tract Symptoms. Eur Urol 2024;86:213-20.
Eur Urol
December 2024
Desai Sethi Urology Institute, Miller School of Medicine, University of Miami, Miami, FL, USA. Electronic address:
Can the Bladder Itself "Measure" Volume, and Thereby Help to Determine When Initiation of Voiding Should Occur? ICI-RS 2024.
Neurourol Urodyn
December 2024
Desai Sethi Institute of Urology, University of Miami Miller School of Medicine, Miami, Florida, USA.
Aims: To answer the question of whether the bladder itself can to any extent control or modulate the initiation of voiding.
Methods: This subject was discussed at the International Consultation on Incontinence-Research Society (ICI-RS) 2024 conference in Bristol, UK in a proposal session.
Results: Cells in the bladder wall sense the local environment via a diverse array of ion channels and receptors which together provide input to motor-sensory and signal transduction mechanisms.
Advancing Interstitial Cystitis/Bladder Pain Syndrome (IC/BPS) Diagnosis: A Comparative Analysis of Machine Learning Methodologies.
Diagnostics (Basel)
December 2024
Underactive Bladder Foundation, Pittsburgh, PA 15235, USA.
This study aimed to improve machine learning models for diagnosing interstitial cystitis/bladder pain syndrome (IC/BPS) by comparing classical machine learning methods with newer AutoML approaches, utilizing biomarker data and patient-reported outcomes as features. We applied various machine learning techniques to biomarker data from the previous IP4IC and ICRS studies to predict the presence of IC/BPS, a disorder impacting the urinary bladder. Data were sourced from two nationwide, crowd-sourced collections of urine samples involving 2009 participants.
View Article and Find Full Text PDFDevelopment of a Deep Learning-Based Predictive Model for Improvement after Holmium Laser Enucleation of the Prostate According to Detrusor Contractility.
Int Neurourol J
November 2024
Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Purpose: Predicting improvements in voiding symptoms following deobstructive surgery for male lower urinary tract symptoms/benign prostatic hyperplasia (LUTS/BPH) is challenging when detrusor contractility is impaired. This study aimed to develop an artificial intelligence model that predicts symptom improvement after holmium laser enucleation of the prostate (HoLEP), focusing on changes in maximum flow rate (MFR) and voiding efficiency (VE) 1-month postsurgery.
Methods: We reviewed 1,933 patients who underwent HoLEP at Samsung Medical Center from July 2008 to January 2024.
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