Al Dandan HB, Coote S, McClurg D. Prevalence of Lower Urinary Tract Symptoms in People with Multiple Sclerosis: A Systematic Review and Meta-analysis.
Int J MS Care 2020;
22:91-99. [PMID:
32410904 PMCID:
PMC7204365 DOI:
10.7224/1537-2073.2019-030]
[Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND
No published study, to our knowledge, has systematically reviewed the prevalence estimates of lower urinary tract symptoms (LUTSs) and LUTS types in the general multiple sclerosis (MS) population. Therefore, a systematic review and a meta-analysis were conducted to determine the totality of literature investigating the prevalence of LUTSs and LUTS types in the general MS population according to International Continence Society definitions.
METHODS
Various electronic databases were searched between January 4, 2018, and February 12, 2018. This review included observational studies involving adults (18 years or older) with a confirmed diagnosis of MS recruited from the general MS population using self-report and/or objective outcome measures for LUTSs.
RESULTS
Twelve studies were included in the meta-analysis. The results showed that LUTSs were prevalent in people with MS, with a pooled prevalence of 68.41% using self-report and 63.95% using the objective measure of urodynamics. When considering LUTS types, urinary frequency was the predominant symptom, with a pooled prevalence estimate of 73.45%, followed by urgency assessed using self-report measures at 63.87%. Detrusor overactivity was found to be the most prevalent urodynamic symptom, with a pooled prevalence estimate of 42.9%, followed by detrusor sphincter dyssynergia at 35.44%.
CONCLUSIONS
This systematic review revealed that LUTSs are highly prevalent in MS. There is a need for improvement in the conduct and reporting of prevalence studies of LUTSs in MS and for the use of validated self-report outcome measures to enable pooling of data in the future.
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