Anesthetic Bladder Capacity is a Clinical Biomarker for Interstitial Cystitis/Bladder Pain Syndrome Subtypes
| Autor: | Stephen J. Walker, Gopal H. Badlani, Catherine A. Matthews, Carl D. Langefeld, Andre Plair, Robert J. Evans |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Adult
medicine.medical_specialty Time Factors Urology Urinary Bladder Endometriosis Cystitis Interstitial Physical examination urologic and male genital diseases Pelvic Pain Severity of Illness Index Article Autoimmune Diseases Young Adult Lower Urinary Tract Symptoms Internal medicine Surveys and Questionnaires Linear regression medicine Humans Medical history Aged Anesthetics Retrospective Studies Aged 80 and over medicine.diagnostic_test business.industry Age Factors Interstitial cystitis Organ Size Syndrome Middle Aged medicine.disease Cohort Anesthetic Biomarker (medicine) Female Nervous System Diseases business Biomarkers medicine.drug |
| Zdroj: | Urology |
| ISSN: | 1527-9995 |
| Popis: | 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 ≤ 0.1) were candidates for a multiple linear regression analysis and were retained if significant (p ≤ 0.05). RESULTS: Multiple regression analysis identified a positive correlation between BC and endometriosis (p=0.028) as well as negative correlations between BC and both ICSI score (p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect