Cognitive Function of Patients with Crohnʼs Disease is Associated with Intestinal Disease Activity
Bibliographic record
Abstract
BACKGROUND: Systemic inflammation and nutritional deficiencies are characteristics of Crohn's disease (CD) and have been suggested to influence cognitive performance. This study assessed cognitive function in patients with CD. METHODS: Participants were adult patients with CD arriving at routine follow-up. Subjective cognitive complaints, depression, anxiety, fatigue, and sleep were evaluated by validated questionnaires. CD characteristics, blood tests, and Crohn's disease activity index were obtained. Nutritional risk index was derived from serum albumin and change in body weight. Montreal cognitive assessment was used for screening. Patients with either subjective cognitive complaints or Montreal cognitive assessment score ≤ 26 were tested by a computerized cognitive testing battery, with analysis of scores in 7 cognitive domains (CogDs) and an average of the CogD scores-global cognitive score (GCS). Impaired CogD was defined as scoring more than 1 SD below age and education adjusted average. RESULTS: A total of 105 patients were recruited and 61 were tested with computerized cognitive testing battery. Mean age was 39 ± 13 and mean education years were 14 ± 2. The most commonly impaired CogDs were information processing speed (33%) and verbal function (28%). Crohn's disease activity index, nutritional risk index, and hemoglobin were significantly correlated with GCS (r = -0.34, 0.39, 0.33; P = 0.007, 0.003, 0.01). Linear regression revealed significant correlations between Crohn's disease activity index, nutritional risk index, and GCS (β = -0.3, 0.29; P = 0.03, 0.04), independent of depression. This model explained 24% of the variance in GCS. CONCLUSIONS: Cognitive performance is related to CD activity and nutritional status. The results provide insight into potential influence of nutrition and inflammation on cognitive function. Further studies on cognitive function of patients with CD are warranted.
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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 | 0.001 |
| 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".