Psychobiological Subtypes of Ulcerative Colitis: pANCA Status Moderates the Relationship Between Disease Activity and Psychological Distress
Bibliographic record
Abstract
INTRODUCTION: Studies of psychological factors in ulcerative colitis (UC) have produced inconsistent findings. This study sought to determine whether perinuclear antineutrophil cytoplasmic antibody (pANCA) demarcates subtypes which differ with respect to psychobiological interactions. METHODS: In 148 outpatients with UC, the strength of the relationship between current UC disease activity and psychological distress was assessed. pANCA was determined by ELISA and immunofluorescence, disease activity was determined by symptoms, physical examination, and endoscopy using the St. Mark's index, and depressive symptoms and health anxiety were measured with self-report scales. Pearson correlations between disease activity and depressive symptoms and between disease activity and health anxiety were calculated. RESULTS: In 74 pANCA negative subjects, the relationship between disease activity and measures of psychological distress was significant for disease activity-depression (partial correlation = 0.48, p < 0.001) and for disease activity-health anxiety (partial correlation = 0.64, p < 0.001), whereas in 74 pANCA positive subjects, no relationships were found (disease activity-depression: partial correlation = 0.18, p= 0.14; disease activity-health anxiety: partial correlation = 0.20, p= 0.09). The differences in the strength of correlation between pANCA positive and pANCA negative subjects were statistically significant for both disease activity-depression (z = 2.0, p= 0.02) and activity-health anxiety (z = 3.3, p < 0.001). CONCLUSIONS: pANCA status demarcates psychobiologically distinct subtypes of UC, such that the absence of pANCA is associated with greater psychobiological interaction. These findings have implications for clinical care and understanding the pathophysiology of intestinal inflammation.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".