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ong-term functional and psychosocial outcome at adolescence and young adulthood of patients treated for lower urinary tract dysfunction in childhood

Not Applicable
Completed
Conditions
ong term psychosocial and functional outcome of former patients treated for childhood lower urinary tract dysfunction
Urological and Genital Diseases
Registration Number
ISRCTN89818320
Lead Sponsor
Radboud University Nijmegen Medical Centre
Brief Summary

2021 Results article in https://pubmed.ncbi.nlm.nih.gov/34548249/ (added 07/12/2021)

Detailed Description

Not available

Recruitment & Eligibility

Status
Completed
Sex
All
Target Recruitment
120
Inclusion Criteria

1. Former patients treated for childhood lower urinary tract dysfunction (LUTD) in childhood in Radboud University Medical Center, currently between 16-26 years of age. LUTD includes any type of lower urinary tract symptom without an anatomical or neurological etiology
2. The control group is recruited by word of mouth and advertisement at the university faculty and high schools nearby

Exclusion Criteria

Anatomical or neurological conditions resulting in lower urinary tract symptoms

Study & Design

Study Type
Observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Overall number of lower urinary tract symptoms measured using the validated Overactive Bladder Questionnaire (OAB-q) score at a single timepoint
Secondary Outcome Measures
NameTimeMethod
<br> Measured at a single timepoint:<br> 1. Type of lower urinary tract symptoms measured using the validated Overactive Bladder Questionnaire (OAB-q)<br> 2. General quality of life measured using Pediatric Quality of life Inventory (PedsQol) for subjects <18 years of age and Short Form-36 Health Survey (SF-36) for subjects =18 years of age<br> 3. Disease-specific quality of life measured using the OAB-q<br> 4. Mental health outcomes measured using the validated Hospital and Depression Scale (HADS)<br> 5. Prognostic factors for lower urinary tract symptoms later in life related to treatment outcome in the past measured using a multivariable backward regression model at time of data analysis<br>
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