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Record W4323350877 · doi:10.1093/jcag/gwac036.224

A224 USTEKINUMAB EFFECTIVENESS AND SAFETY IN PEDIATRIC PERIANAL CROHN’S DISEASE, A CASE REPORT AND LITERATURE REVIEW

2023· article· en· W4323350877 on OpenAlexaff
M Abu Abthan, Peter Church

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAdalimumabCrohn's diseaseUstekinumabInfliximabDiseaseSurgeryInflammatory bowel diseaseColonoscopyAbscessDermatologyInternal medicineGastroenterologyColorectal cancerCancer

Abstract

fetched live from OpenAlex

Abstract Background Crohn’s disease (CD) is a chronic, relapsing, destructive, and inflammatory disease with penetrating, stricturing, or just inflammatory behavior that might affect the gastrointestinal tract or present with extraintestinal manifestations. Perianal fistulizing CD remains a challenging condition, with anti-tumor necrosis factor alpha (Anti-TNF) being the preferred, and effective therapy in the majority of cases. Purpose Ustekinumab (UST) is in off-label use for refractory CD in children especially those who don’t show a response to anti-TNF. However, data on safety and efficacy in children is limited. Method Our patient is 15-year-old girl, started to have a recurrent perianal and labial abscess at age of 11 yr. Despite having a normal upper and lower colonoscopy in the first place, pathology examination showed mild regenerative glandular alterations in the rectum. However, she continued to have recurrent peri-anal and vulval abscesses, in November 2016, April 2017, June 2017, and February 2018, which required multiple incision, drainage, fistulotomy as well as antibiotics therapy. Further evaluation revealed an isolated perianal Crohn’s disease for which she was commenced to Adalimumab, and despite optimal dosing, she continued to have an active disease with partial response evidenced by biochemical and radiological findings. The decision was made to shift from Adalimumab to weight-based UST doses based on the promising results in adult CD. Result(s) Our patient was followed frequently to ensure good therapeutic drug level, inflammatory markers improved from the maximum during her active disease till the last readings (56 weeks after starting UST), ESR (2-34 mm/hr) of 46 to 15 and CRP (1.0-1.7) of 21 to 0.2. Albumin and fecal calprotectin remain within normal range throughout her disease course. Repeated MRI showed Interval resolution of ischiorectal/ischioanal collection, almost complete resolution of transsphincteric fistulous tract while another intersphincteric fistula remained unchanged. Nonetheless, our patient reported a significant improvement in her perianal pain and weight gain of 6 kg during the interval assessment at 56 weeks of therapy. Conclusion(s) UST therapy shows a modest response in treating perianal CD in adult population, Godoy et al reported 59.3% of their cohort showed symptomatic improvement in fistula drainage and discomfort at 6 months follow-up. While at 12 months all patients had a symptomatic response with 22.2% achieving symptomatic remission. Moreover, a systematic review included a total of 774 patients with active perianal disease received UST, and 71 received placebo. At 12 months, 152 patients had a follow-up, out of which 85 (53.9%) achieved response, and 44 out of 105 (41.9%) achieved remission. Kim et al reported 13 pediatric patients treated with UST, 8 (38.5%) of which achieved PCDAI reemission. The safety and efficacy of UST use in pediatrics remain an area to improve by conducting large, prospective, randomized, and controlled trials. Please acknowledge all funding agencies by checking the applicable boxes below None Disclosure of Interest None Declared

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.003
GPT teacher head0.222
Teacher spread0.219 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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