Marcelissen T, Cornu JN, Antunes-Lopes T, Geavlete B, Delongchamps NB, Rashid T, Rieken M, Rahnama'i MS. Management of Idiopathic Overactive Bladder Syndrome: What Is the Optimal Strategy After Failure of Conservative Treatment?
Eur Urol Focus 2018;
4:760-767. [PMID:
29807823 DOI:
10.1016/j.euf.2018.05.004]
[Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/15/2018] [Accepted: 05/11/2018] [Indexed: 11/19/2022]
Abstract
CONTEXT
A considerable number of patients affected by the overactive bladder syndrome (OAB) do not respond to pharmacotherapy and bladder training due to unsatisfactory response or intolerability.
OBJECTIVE
To review the available literature assessing therapeutic effect of the available third-line treatment modalities for OAB.
EVIDENCE ACQUISITION
PubMed, Medline, and Cochrane databases were searched for all studies comparing outcomes of the available third-line treatment modalities for OAB.
EVIDENCE SYNTHESIS
Several minimally invasive surgical procedures are available for patients with refractory OAB. These therapies include intravesical botulinum toxin type A, posterior tibial nerve stimulation, and sacral neuromodulation.
CONCLUSIONS
None of the mentioned therapeutic modalities shows strong superiority over another. If the results of one therapy are not satisfactory, switching to another third-line treatment can be attempted. The treatment algorithm is dependent on several factors, including age, comorbidity, patient preference, surgical expertise, and financial concerns. All these factors should be taken into consideration before initiation of treatment.
PATIENT SUMMARY
In the management of drug-resistant overactive bladder syndrome, the different minimally invasive treatments that are available are equal. If the results of one therapy are not satisfactory, switching to another treatment can be attempted. The treatment algorithm is dependent on several factors, including age, comorbidity, patient preference, surgical expertise, and financial concerns.
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