A258 ASSOCIATION BETWEEN SYMPTOMS AND INFLAMMATORY BOWEL DISEASE ACTIVITY USING INFLAMMATORY BOWEL DISEASE SYMPTOM INVENTORY – A RETROSPECTIVE ANALYSIS FROM THE MANITOBA LIVING WITH IBD STUDY
Bibliographic record
Abstract
Abstract Background Inflammatory bowel disease (IBD) is a chronic inflammatory disease of the gut and includes predominantly Crohn’s disease (CD) and ulcerative colitis (UC). The Inflammatory Bowel Disease Symptom Inventory (IBDSI), developed at the University of Manitoba is a validated patient self-report symptom inventory which has shown to demonstrate good validity to accepted clinician-based assessments of disease activity. The IBDSI focuses of 5 main symptom clusters: bowel symptoms, abdominal discomfort, fatigue, bowel complications, and systemic complications. While there is good evidence for the presence of these symptoms in IBD, there has yet to be an analysis of the correlation between specific symptom clusters and active IBD. Aims Our aim is to identify symptoms experienced by patients with IBD being followed prospectively over one year and further analyze which of these symptoms are correlated with disease activity. Methods 155 patients enrolled in the Manitoba Living with IBD Study were eligible for the current study. Bi-weekly IBDSI short-form survey results were analyzed to determine which IBD-related symptoms were experienced by each patient over the study period (1 year). Descriptive data for symptoms will be reported, and will then be compared to disease activity (defined in Crohn’s disease as an IBDSI score >14 and in UC>13 and fecal calprotectin level (FCAL) >250 ug/g) to determine which symptoms most correlate with active IBD. Results The study population ranged from ages 18–70, with a mean age of 43 years. 30.3% (47) of the population were male. 65.8% (102) of the population consisted of CD, 31.0% (48) had UC, the remaining 3.2% (5) had IBD-type unclassified. Some of the symptoms for analysis will include abdominal pain, frequency and consistency of bowel movements, blood within the stool, and other associated symptoms such as nausea and loss of appetite. The results for the frequency of symptoms reported and which are most correlated with disease activity is still under analysis. Conclusions This will be the first study assessing the association between symptoms experienced by subjects contrasted to disease activity using the self-reported measurement IBDSI and FCAL. Funding Agencies None
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".