P566 Impact of induction therapy and clinical remission on resting energy expenditure in children with Crohn’s Disease
Bibliographic record
Abstract
Abstract Background Crohn’s Disease (CD) is known to affect nutritional status and linear growth in affected children. Patients with CD often have decreased oral intake, malabsorption, and increased intestinal losses. Basal metabolic rate may be affected by chronic inflammation and states of anorexia or malnutrition in these patients. In this study, our aim was to compare the effect of different induction regimens in children with CD on resting energy expenditure (REE) and nutritional status. Methods We recruited patients under 18 years old with new-onset CD or relapse, diagnosed at our centre over a three-year period from July 2016. Patients included had one of the following induction regimens: corticosteroids, exclusive enteral nutrition (EEN), or anti-TNF therapy (Infliximab). REE was assessed at baseline and 6 to 8 weeks after induction. REE (kcal/d) was measured using an open-circuit indirect calorimeter with computerized metabolic cart (Vmax Encore, Vyaire Medical). Secondary outcomes included anthropometrics and clinical and biochemical response, defined by improved wPCDAI and negative inflammatory markers and fecal calprotectin, respectively. Results 17 patients were enrolled and 8 patients excluded (loss to follow-up (n=3), therapeutic change (n=3), revised diagnosis (n=2)). 9 patients completed REE assessments (44.4% anti-TNF (n=4), 44.4% EEN (n=4), 11.1% corticosteroid (n=1)). 3 out of 4 patients on anti-TNF had clinical and biochemical response, while only 1 of 4 patients responded to EEN. For patients in the EEN group, mean BMI change was +0.9 (SD 0.4), compared to +0.4 (SD 1.1) in the anti-TNF group. There was no difference in REE change between treatment groups. Data was then pooled based on response to treatment. 100% of non-responders had increased per cent of predicted REE (REEPP), while 75% of responders decreased their REEPP. Mean REEPP change in non-responders was +12.5% (1, 22) vs. -4.3% (-10, 6) in responders. Figure I. Relationship between REE and weight at baseline and on follow-up in non-responders. Figure II. Relationship between REE and weight at baseline and on follow-up in responders. Conclusion Our results suggest that induction regimen did not impact REE change on follow-up. In our patients, clinical response to therapy was related to a tendency to decrease REE. Patients who did not achieve remission after induction therapy increased their REE. We suspect that this increase in basal metabolic rate is related to persistent inflammation despite improved nutritional status. Further studies with larger patient populations are needed to infer significance and compare subgroups based on body composition.
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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) | 0.001 | 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 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".