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Record W4213193776 · doi:10.1093/jcag/gwab049.184

A185 DUAL BIOLOGIC THERAPY IN A PATIENT WITH NIEMANN-PICK TYPE C AND CROHN DISEASE: A CASE REPORT AND LITERATURE REVIEW

2022· article· en· W4213193776 on OpenAlexaffabout
Alexandra Hudson, P.C. Almeida, Hien Q. Huynh

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2022
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineInfliximabPancolitisUlcerative colitisCrohn's diseaseInflammatory bowel diseaseMaintenance therapyDiseaseInternal medicineUstekinumabAzathioprineGastroenterologyImmunologyCancerColonoscopyColorectal cancerChemotherapy

Abstract

fetched live from OpenAlex

Abstract Background Since the availability of biologics and biosimilars, inflammatory bowel disease (IBD) therapy has been a rapidly expanding field. Dual biologic therapy has become a new area of interest. This is important given that clinical remission rates from biologic monotherapy are only 40% at one year, and that in Canadian children with IBD, up to 33% will need surgery within ten years. It also holds potential in those who are not likely to respond as well to traditional therapy, such as patients with genetic disorders. Mono-/poly-genic IBD and the role of genetics in IBD is an evolving field. Niemann-Pick disease type C (NPC), a neurodegenerative lysosomal storage disorder, is one such genetic disorder, and its’ associated predisposition to IBD is thought to be related to impaired destruction of intracellular bacteria within macrophages (impaired autophagy). The persistence of bacteria in the gut wall leads to an increased cytokine response. Aims We present a case of a teenage patient with NPC and crohn colitis, who sustained clinical remission only after escalating to dual biologic therapy (anti-TNF (infliximab) and anti-IL12/IL23 (ustekinumab)). Methods A literature review of dual biologic therapy in Pediatric IBD (all types of patients included) was also completed. Results The patient presented with one month of abdominal pain, weight loss, and bloody diarrhea, 9 months after her diagnosis of NPC. Endoscopy revealed mild inflammation in the rectosigmoid junction and rectum, with pathology showing granulomatous pancolitis. Induction therapy was rectal 5-ASA. Subsequent flares resulted in the addition of azathioprine, and then infliximab. She was switched to ustekinumab after a flare 21 months later, which did not lead to adequate improvement, so infliximab was added back on as a dual biologic. With this combination therapy she maintained clinical, biochemical, and endoscopic remission, ongoing two years later. A literature review revealed eight studies (case series/reports only). One Pediatric patient case combined ustekinumab with infliximab, while the remaining combined vedolizumab (gut-specific anti- α 4β 7 integrin) with infliximab. Conclusions In Pediatric patients with genetic disorders and IBD who are not responding adequately to biologic therapy, adding a second biologic medication with a different mechanism of action may be efficacious. Targeting both TNFa (which induces pro-inflammatory cytokines, among many other roles), and the proinflammatory cytokines themselves (IL12/23), may be important in genetic disorders with impaired macrophage function and increased cytokine response. This is a potential option even several years into treatment. To date, only case studies are available, with the majority combining vedolizumab with infliximab. Our case adds to the sparse literature on the utility of combining ustekinumab and infliximab. Funding Agencies None

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)0.000
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.005
Science and technology studies0.0020.002
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0050.003
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 head0.022
GPT teacher head0.322
Teacher spread0.299 · 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
Published2022
Admission routes2
Has abstractyes

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