Storage symptom is associated with not only neurological deficits but also sex and the presence of general diseases, whereas voiding symptom is influenced by physical activity in patients with chronic stroke. Therefore, lower urinary tract symptoms should be carefully monitored and physical rehabilitation should also be considered in patients with stroke.

Aim To validate a novel digital health monitoring system to measure the volume of voided urine. Methods Micturition volume was calculated using our novel digital self‐health monitoring system of urine excretion (s‐HMSU) in 18 participants (16 women and 2 men; average age, 40.8 years), without a history of voiding symptoms. Participants completed a self‐reported questionnaire regarding their medical history and water intake during the period of observation, as well as the Core Lower Urinary Tract Symptom Score (CLSS) questionnaire. To assess the reliability of the voided volumes measured using the s‐HMSU, the intraclass correlation coefficient (ICC) was calculated between the volume and the change in body weight before and after micturition. Results The CLSS questionnaire confirmed the absence of urinary system diseases in all participants. The medical history was also negative with the exception of hypertension in one participant. The ICC (1,1) between the measured volume of urine excretion using the s‐HMSU and the change in body weight was 0.972 (95% confidence interval, 0.957‐0.982). Conclusions The s‐HMSU system provides a reliable measure of voiding volume and is appropriate for home use. It has the potential to facilitate large‐scale clinical research to examine the relationship between medical diseases and voiding dysfunction.

The results indicated that aging induces dysfunction in movement coordination between the urinary bladder and the urethra. Thus, age-associated urethral dysfunctions may lead to inefficient voiding with increased post-void residual urine volume, which is often observed in elderly populations.

Purpose To evaluate the effect of a mobile digital intervention on voiding patterns, we performed 24-h voided volume monitoring in individuals with metabolic disorders. Methods Participants with metabolic disorders were grouped into either the intervention group (n = 17), who had access to a smartphone app (CARADA), or the non-intervention group (n = 11), who did not. Urine monitoring was conducted for 24 h using a novel digital self-health monitoring system for urine excretion (s-HMSU). Body weight, abdominal circumference, blood pressure, and biomarkers were measured. Results Physical findings and blood test results at baseline and 6 months indicated no significant between-group differences. Night-time frequency did not change between baseline and 6 months in the intervention group but significantly worsened at 6 months in the non-intervention group, as compared to baseline (1.0 ± 0.7 vs. 1.5 ± 0.5, p < 0.05). The change in night-time frequency over 6 months did not differ between the intervention and non-intervention groups. Furthermore, the change in hours of undisturbed sleep over 6 months did not differ between the two groups. However, compared with baseline, nocturnal polyuria index tended to worsen at 6 months in the non-intervention group. Conclusion Our study results suggest that mobile digital intervention might be useful for behavioral therapy to improve night-time frequency and urine production and that s-HMSU might be beneficial for confirming the prevention of progress in individuals with metabolic disorders, which can aid in modifying lifestyle.

To confirm changes in urethral activity with age, both intravesical pressure and urethral perfusion pressure (UPP) were recorded and external urethral sphincter electromyography (EUS‐EMG) was performed. A total of 33 female Sprague Dawley rats aged 3 months (young rats), 12 months (middle‐aged rats), and 24 months (aged rats) were used. Bladder activity was evaluated using continuous cystometry. Urethral activity was evaluated by simultaneously recording intravesical pressure and UPP in isovolumetric conditions under urethane anesthesia in each group. Additionally, EUS‐EMG activity was monitored under the same conditions. In continuous cystometry, the amplitude of bladder contractions was not different among the three groups; nevertheless, residual urine volume was significantly increased in middle‐aged and aged rats, as compared in young rats. With respect to UPP, the change in UPP was significantly smaller in aged rats (60%) and middle‐aged rats (64%) than in young rats. Furthermore, the mean amplitude of high‐frequency oscillations of the EUS was significantly lower in aged (61%) and middle‐aged rats (70%) than in young rats. EUS‐EMG revealed EUS bursting activity during voiding with clear active and silent phases in young rats but unclear active and silent phases in aged rats. Masson's trichrome staining of the urethra showed EUS atrophy in aged rats compared to young and middle‐aged rats. The results indicate that aging induces two urethral dysfunctions in the urethral smooth muscle and EUS, which may lead to dyscoordination between the urinary bladder and urethra.

These findings suggest that tramadol effectively enhances the AUR at the spinal level and BP peripherally. Therefore, stimulation of the spinal µ-opioid receptors may be useful for the treatment of SUI.

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