Andre Plair1, Robert J Evans1, Carl D Langefeld2, Catherine A Matthews1, Gopal Badlani1, Stephen J Walker3. 1. Department of Urology/Female Pelvic Health, Wake Forest Baptist Medical Center, Winston-Salem, NC. 2. Department of Biostatistics and Data Science, Wake Forest Baptist Medical Center, Winston-Salem, NC. 3. Department of Urology/Female Pelvic Health, Wake Forest Baptist Medical Center, Winston-Salem, NC; Wake Forest Institute for Regenerative Medicine, Wake Forest Baptist Medical Center, Winston-Salem, NC. Electronic address: swalker@wakehealth.edu.
Abstract
OBJECTIVE: To further examine anesthetic bladder capacity as a biomarker for interstitial cystitis/bladder pain syndrome (IC/BPS) patient subtypes, we evaluated demographic and clinical characteristics in a large and heterogeneous female patient cohort. MATERIAL AND METHODS: This is a retrospective review of data from women (n = 257) diagnosed with IC/BPS who were undergoing therapeutic bladder hydrodistention (HOD). Assessments included medical history and physical examination, validated questionnaire scores, and anesthetic BC. Linear regression analyses were computed to model the relationship between anesthetic BC and patient demographic data, symptoms, and diagnoses. Variables exhibiting suggestive correlations (P ≤ .1) were candidates for a multiple linear regression analysis and were retained if significant (P ≤ .05). RESULTS: Multiple regression analysis identified a positive correlation between BC and endometriosis (P = .028) as well as negative correlations between BC and both ICSI score (P < .001) and the presence of Hunner's lesions (P < .001). There were higher average numbers of pelvic pain syndrome (PPS) diagnoses (P = .006) and neurologic, autoimmune, or systemic pain (NASP) diagnoses (P = .003) in IC/BPS patients with a non-low BC, but no statistical difference in the duration of diagnosis between patients with low and non-low BC (P = .118). CONCLUSION: These data, generated from a large IC/BPS patient cohort, provide additional evidence that higher BC correlates with higher numbers of non-bladder-centric syndromes while lower BC correlates more closely with bladder-specific pathology. Taken together, the results support the concept of clinical subgroups in IC/BPS.
OBJECTIVE: To further examine anesthetic bladder capacity as a biomarker for interstitial cystitis/bladder pain syndrome (IC/BPS) patient subtypes, we evaluated demographic and clinical characteristics in a large and heterogeneous female patient cohort. MATERIAL AND METHODS: This is a retrospective review of data from women (n = 257) diagnosed with IC/BPS who were undergoing therapeutic bladder hydrodistention (HOD). Assessments included medical history and physical examination, validated questionnaire scores, and anesthetic BC. Linear regression analyses were computed to model the relationship between anesthetic BC and patient demographic data, symptoms, and diagnoses. Variables exhibiting suggestive correlations (P ≤ .1) were candidates for a multiple linear regression analysis and were retained if significant (P ≤ .05). RESULTS: Multiple regression analysis identified a positive correlation between BC and endometriosis (P = .028) as well as negative correlations between BC and both ICSI score (P < .001) and the presence of Hunner's lesions (P < .001). There were higher average numbers of pelvic pain syndrome (PPS) diagnoses (P = .006) and neurologic, autoimmune, or systemic pain (NASP) diagnoses (P = .003) in IC/BPS patients with a non-low BC, but no statistical difference in the duration of diagnosis between patients with low and non-low BC (P = .118). CONCLUSION: These data, generated from a large IC/BPS patient cohort, provide additional evidence that higher BC correlates with higher numbers of non-bladder-centric syndromes while lower BC correlates more closely with bladder-specific pathology. Taken together, the results support the concept of clinical subgroups in IC/BPS.
Authors: Stephen J Walker; João Zambon; Karl-Erik Andersson; Carl D Langefeld; Catherine A Matthews; Gopal Badlani; Heather Bowman; Robert J Evans Journal: J Urol Date: 2017-02-12 Impact factor: 7.450
Authors: Pedro L Vera; David M Preston; Robert M Moldwin; Deborah R Erickson; Behzad Mowlazadeh; Fei Ma; Dimitrios E Kouzoukas; Katherine L Meyer-Siegler; Magnus Fall Journal: Urology Date: 2018-03-23 Impact factor: 2.649