Multiple sensitivity phenotype in interstitial cystitis/bladder pain syndrome
Bibliographic record
Abstract
INTRODUCTION: Phenotypic differentiation of patients with interstitial cystitis/bladder pain syndrome (IC/BPS) may improve our understanding of the condition, as well as the development of patient-specific treatment strategies. We identified a distinct subgroup of IC/BPS patients with a multiple sensitivity phenotype. METHODS: We defined patients with this IC/BPS associated multiple sensitivity syndrome as having at least 3 confirmed allergies/sensitivities to medications and/or environmental factors and a diagnosis of IC/BPS. These IC/BPS patients identified with a multiple sensitivity phenotype (cases) were compared to age-matched IC/BPS patients with few or no allergies (controls) at a 1:2 ratio. Comparisons were undertaken using standardized case assessment parameters (age, duration of symptoms, medical history, Interstitial Cystitis Symptoms Index [ICSI] and pelvic pain and urinary urgency/frequency [PUF] symptom scores, and urinary, psychosocial, organ specific, infection, neurologic/systemic, tenderness [UPOINT] categorization). RESULTS: The study consisted of 17 cases and 34 age-matched controls; the mean age was 55 and 56 years, respectively. There was statistically more medication and environmental allergies in the cases versus controls. Cases reported more concomitant illnesses (9.6 vs. 6.2, p < 0.001) and number of bodily systems affected (6.0 vs. 3.8, p ≤ 0.001). The prevalence of irritable bowel syndrome and fibromyalgia was higher in the case group (p = 0.028, p ≤ 0.001, respectively). Additionally, there were more reported psychiatric diseases (p = 0.019), allergic/immune diseases (p = 0.003), and pulmonary diseases (p < 0.001) in the case group. UPOINT classification differed with more patients in the case group being categorized in the psychosocial and neuropathic/systemic domains (p = 0.045, p = 0.007, respectively). Total UPOINT classification (out of 6) was also higher in cases than controls (4.6 vs. 3.2, p = 0.001, respectively). CONCLUSIONS: We have characterized a distinct phenotypic group of patients with IC/BPS and multiple sensitivities. The limitations of our study include the retrospective case-control matching design, biases in phenotype definition, single centre patient recruitment, and the lack of follow-up. Nonetheless, the observation of this specific phenotype suggests that further research in this group may help develop targeted therapeutic strategies for patients with a concomitant multiple sensitivity syndrome and IC/BPS.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".