The aim of this thesis is to investigate the prevalence and management of bladder pain syndrome (BPS) amongst women with chronic pelvic pain (CPP) through a series of systematic reviews, a structured survey and primary study. It has been acknowledged that the diagnosis and management of BPS is a contentious subject. The mean prevalence of BPS in women with CPP is 61%. I initially carried out a patient and clinician survey to understand how BPS was being managed in the UK. I found wide variation in diagnostic methods and treatments of BPS used by clinicians and experienced by patients with no obvious consensus. Since we know the predominant complaint in these patients is pain (bladder or pelvic) I used patients with pelvic pain as my cohort. Cystoscopy is no longer used as a diagnostic test for BPS. It is possible to diagnose BPS through a consensus expert panel using symptom-based criteria. This method of deriving a reference standard is demonstrated in the primary study, since no gold standard diagnostic test exists for BPS. A case-control feasibility study was undertaken to investigate the accuracy of a group of urinary symptoms to diagnose BPS. While, neither index test of bladder filling pain or bladder wall tenderness can sensitively diagnose BPS alone, the symptoms of bladder filling pain, urinary frequency, pain on urination and pain on full bladder are a good predictor of the condition. A systematic review assessing the reporting outcomes identified five measures that should be included in studies; pain, urinary symptoms, general 8 wellbeing, quality of life and bladder capacity. Of the 19 treatments used for BPS, the level and strength of evidence ratings overestimated quality compared to the GRADE ratings. BPS can be diagnosed symptomatically but there is variable reporting of outcome measures and poor evidence for treatment effectiveness.
Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:667342 |
Date | January 2014 |
Creators | Tirlapur, Seema Anushka |
Publisher | Queen Mary, University of London |
Source Sets | Ethos UK |
Detected Language | English |
Type | Electronic Thesis or Dissertation |
Source | http://qmro.qmul.ac.uk/xmlui/handle/123456789/8970 |
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