Cleveland Clinic researchers have identified distinct differences in both bacterial and fungal species among women with and without overactive bladder, suggesting the potential for new approaches to treatment.
Novel machine learning algorithms can be used to assist clinicians in predicting patient-reported outcomes following third-line treatments for overactive bladder.
Receiving the implant as part of a clinical trial in 1991, the now 81-year-old patient has been able to urinate normally with no additional treatment aside from battery changes every few years.
This ‘fitness tracker for the bladder,’ now in preclinical testing, has the potential to eliminate the need for urodynamics and the discomfort and inconvenience it entails.
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Overactive bladder guidelines call for following hierarchical treatment of patients, with correction of prolapse the next step for patients who fail modifiable and medical interventions.