Clinical and Serologic Patterns in a Large Canadian Paediatric Cohort with Celiac Disease, At Presentation and Follow-Up
Bibliographic record
Abstract
Abstract BACKGROUND: Celiac Disease (CD) is a chronic illness involving an autoimmune response to gluten, leading to small intestinal inflammation in genetically susceptible individuals. A weakness in the North American pediatric CD literature exists around serologic outcomes after initiation of a gluten free diet (GFD). Only one published North American pediatric study looks at normalization of TTG after initiation of a GFD and only assessed TTG normalization at 6 months post diagnosis. Data is also limited on other clinical patters such as levels of anemia and BMI over the course of treatment of CD. OBJECTIVES: We sought to characterize serologic and clinical patterns in CD over an extended course using one of the largest databases of pediatric CD in North America. DESIGN/METHODS: A retrospective review of all patients diagnosed with CD at our institution from 1996-2014 was completed. Patients required biopsy-proven CD according to the Marsh criteria. Data abstracted included age at diagnosis, gender, reason for referral, comorbidities, family history of CD and autoimmune conditions, BMI, hemoglobin, MVC, fer-ritin, IgA and anti-TTG levels. A Cochran-Armitage trend test was used to trend anti-TTG and hemoglobin normalization over time RESULTS: 227 patients were identified who met study criteria. Visits with associated anti-TTG or hemoglobin analysis were categorized by time since diagnosis. At 6-12 months, 12-17 months, 18-23 months, 24-29 months, 30-35 months and 36-41 months from diagnosis 66.7% (n=144), 75% (n=40), 85.6% (n= 76), 86.9 (n= 23), 93.5 (n=62) and 95% (n= 20) of patients had normalized their anti-TTG levels respectively from a baseline of 100% abnormal TTG and 5.7% (n=140), 7.3% (n=41), 5.1% (n=77), 5.0% (n=20), 1.6% (n=60) and 5.0% (n=20) had anemia versus 18% at presentation. CONCLUSION: The small p-value (p=<0.0001) for the Cochran-Armitage test for anti-TTG normalization indicates the increased probability of a normalized anti-TTG as time from diagnosis increases. Knowledge of the slope of this trend could assist clinicians with better understanding the effectiveness of treatment for their patients. In this cohort, anti-TTG levels normalized over a broad time span, with increasing numbers of patients normalizing their anti-TTG through to the end of the study period. Further research goals aim to determine predictors of early anti-TTG normalization. In this cohort, the proportion of patient with anemia quickly decreased from a baseline of 18%, to general pediatric population levels between 6-12 months after treatment initiation and remained stable in this range through to the end of the study period with a non-significant p value (p=0.06) for trend over time.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".