P187 Major Depression in patients with Ulcerative Colitis and its relationship with clinical activity
Bibliographic record
Abstract
Abstract Background In the last decade, there has been an increase in manuscripts published around the world related to psychological aspects in patients with IBD, suggesting a relationship between depression and IBD. Depressive symptoms seem to be able to aggravate ulcerative colitis (UC)¹, however there is a need for a clearer characterization of the sample and disease activity²,³. The aim of the study is to estimate the prevalence of major depression (MD) in patients with UC and to evaluate its relationship with the clinical activity and other diseases characteristics. Methods From October 2020 to May 2021, 299 patients with UC were evaluated using the Patient Health Questionnaire-9 (PHQ-9) scale, where absent depressive symptoms range from 0–4 points, mild depressive symptoms 5–9, moderate depressive symptoms 10–14, moderately-severe depressive symptoms 15–20, severe depressive symptoms greater than 20. MD was defined by PHQ-9 ≥10. Data were prospective analyzed,regarding socio-demographic characteristics, surgeries, current treatment; clinical activity and extent of disease were assessed by montreal classification. The association of characteristics with the MD risk was verified using chi-square tests or Fisher’s exact tests or likelihood ratio, and quantitative characteristics were compared according to MD risk categories using Student’s t-tests or Mann-Whitney tests. All statistical tests were performed with a 5% significance level. Results The prevalence of MD in UC patients was 35.8%. The main socio-demographic characteristics and MD risk are described in Figure 1. Figure 2 shows that, separately, sex, disease activity, hemoglobin and hematocrit statistically influenced the risk of MD (p < 0.05). There was no association between disease extension, surgeries performed along the disease course or current drug treatment with MD (p > 0.05). Together, gender influenced the MD risk in UC patients, regardless of the other characteristics evaluated, with female patients having a 2.63 times the chance of MD than male patients (Odds Ratio [OR] 2.63. 95% confidence interval [CI] 1, 41–4.89; p 0.002). Conclusion Our study confirms the high risk of MD among UC patients and is significantly related to the disease clinical activity. Psychological assessment of UC patients, in addition to objective measures of disease activity as an integral part of IBD care, is necessary, aiming to help improve the quality of life and maintain remission.
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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 | 0.001 | 0.001 |
| 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) | 0.005 | 0.001 |
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".