Prevalence of Lower Urinary Tract Symptoms in Children with Attention-Deficit/Hyperactivity Disorder: Comparison of Hospital and Population-Based Cohorts of 13,000 Patients.
Teng-Kai YangWei-Yi HuangYa-Jun GuoYu-Fen ChenHong-Chiang ChangKuo-How HuangPublished in: Journal of clinical medicine (2022)
Background: This study investigates the prevalence of lower urinary tract symptoms (LUTS) in school-age children with Attention-Deficit/Hyperactivity Disorder (ADHD) based on hospital-based and population-based cohorts. Methods: The hospital-based sample comprised 42 children with ADHD and 65 without ADHD aged 6-12 years. Voiding dysfunction was assessed by the Dysfunctional Voiding Scoring System (DVSS) questionnaire. We compared the baseline data, DVSS score, and uroflowmetry between the two groups. For the population-based cohort in the national insurance database, we included 6526 children aged 6-12 years, whose claims record included the diagnosis of ADHD, and another 6526 control subjects matched by gender and age. We compared the presence of LUTS diagnosis codes between the two groups. Results : Our results showed that, for the hospital-based cohort, the mean total DVSS score and the proportion of significant LUTS in children in the ADHD group were significantly higher than in subjects in the non-ADHD group. The DVSS subscales showed that the item "I cannot wait when I have to pee" item was significantly higher in the ADHD group (1.62 ± 1.17 vs. 0.90 ± 1.09, p = 0.002). For the population-based cohort, children with ADHD had a significantly higher likelihood of storage symptoms (5.53% vs. 2.91%, p < 0.001) and enuresis (3.28% vs. 1.95%, p < 0.001) compared with those of the no ADHD group. Conclusions: Children with ADHD have a higher prevalence of significant LUTS, especially storage symptoms and enuresis, than children without ADHD. The observed correlations between ADHD and LUTS provided the supporting evidence to evaluate the concomitant voiding dysfunction in children with ADHD.
Keyphrases
- attention deficit hyperactivity disorder
- lower urinary tract symptoms
- autism spectrum disorder
- working memory
- young adults
- benign prostatic hyperplasia
- risk factors
- mental health
- healthcare
- emergency department
- machine learning
- cross sectional
- chronic kidney disease
- deep learning
- prognostic factors
- quality improvement
- long term care