Serologic Status of Routine Childhood Vaccines, Cytomegalovirus, and Epstein-Barr Virus in Children With Inflammatory Bowel Disease
Bibliographic record
Abstract
BACKGROUND: Data on the serologic status of childhood vaccines, cytomegalovirus (CMV) and Epstein-Barr virus (EBV), are limited in inflammatory bowel disease (IBD). Therefore, we evaluated vaccine coverage and seroprotection, along with CMV and EBV seropositivity, in pediatric IBD. METHODS: In a cross-sectional study, demographic data, IBD history, vaccine records, and serum for antibodies against measles, mumps, rubella, diphtheria, tetanus, varicella, hepatitis B (HBV), CMV, and EBV were collected from children with IBD. We evaluated potential factors associated with serologic status. RESULTS: Of 156 subjects, vaccine coverage was up to date for age in 93.5% for measles, mumps, rubella, 95.6% for diphtheria, tetanus, pertussis, polio, hemophilus influenza B, 75.8% for HBV, and 93.5% for varicella, including past infection and vaccination. Seroprotection was present in 65.8% for measles, 60.5% for mumps, 79.1% for rubella, 79.5% for diphtheria, 80.8% for tetanus, 70.5% for varicella, and 62.8% for HBV of subjects. Older age at diagnosis was associated with seroprotection among subjects with complete HBV (odds ratio [OR], 1.20; 95% confidence interval [CI], 1.03-1.39) and rubella series (OR, 1.18; 95% CI, 1.02-1.37). Older age at serum collection was associated with seroprotection among subjects with prior varicella vaccination or infection (OR, 1.69; 95% CI, 1.33-2.15). Only 25.2% and 37.8% demonstrated seropositivity to CMV and EBV, respectively. Among subjects on immunosuppressive medications, 75.3% and 62.4% were seronegative for CMV and EBV, respectively. CONCLUSIONS: Children with IBD have low serologic protection to childhood vaccines in spite of high vaccine coverage and universal vaccinations. Children with IBD, including a large proportion on immunosuppressive medications, have low seropositivity to CMV and EBV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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 teacher head, 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".