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Record W3000395303 · doi:10.1093/ecco-jcc/jjz203.505

P376 Real life health care utilisation in paediatric patients with inflammatory bowel disease in the era of biologics

2020· article· en· W3000395303 on OpenAlexaffabout
S A Tchogna, Xiaoxiao Yang, Colette Deslandres, Prévost Jantchou

Bibliographic record

VenueJournal of Crohn s and Colitis · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineInterquartile rangeInflammatory bowel diseaseUlcerative colitisColonoscopyIncidence (geometry)EsophagogastroduodenoscopyInternal medicineCohortCrohn's diseaseProspective cohort studyDiseasePediatricsDisease burdenEndoscopyColorectal cancer

Abstract

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Abstract Background The burden associated with the management of paediatric patients with inflammatory bowel disease (IBD) has been rising as the incidence of IBD is increasing in children. In addition, the widespread use of biologics and a treat-to-target approach also contributes to the increase of healthcare utilisation. Methods The purpose of this study was to assess the health care services utilisation and the associated factors in a prospective cohort of children diagnosed with IBD in Quebec, Canada. Patients diagnosed from 2013 to 2015 and followed up until the transfer to adult care were identified in our IBD database. Data on IBD related services and treatments: imaging procedures, hospitalisations and outpatient visits, medications from diagnosis to transition was extracted. We analyzed the healthcare utilisation according to the baseline disease severity (paediatric Crohn’s disease activity index or paediatric ulcerative colitis activity index) at diagnosis, and according to exposition to intravenous biologics. Results In total, 144 patients were included in the study [(77 males), CD (N = 98), UC (N = 31) and IBD-U (N = 15); median (interquartile(IQR)) age at diagnosis 15.2 (14.3–16.3) years]. The median (IQR) duration of paediatric follow-up was 2.9 (1.8–3.9) years. The median (min-max) number of imaging procedures varied largely: esophagogastroduodenoscopy 1(0–2), colonoscopy 1(1–6), abdominal ultrasound1(0–13), abdominal MRI 1(0–4), tomodensitometry 0(0–2), bone densitometry 1(0–5). Patients had various follow-up encounters (median(min–max)): outpatient visits 9(1–28), IBD nurses phone follow-ups 4(0–33). Sixty-four per cent of patients had at least one hospitalisation [median(min–max)1(0–10); median duration 4(0–150 days)] and 35.41% had at least one emergency visit. Baseline disease severity did not predict the disease burden: the mean number of encounters was 3.0/year in the moderate/severe group as compared with 2.5/year in the mild group; p = 0.61. Among the, 63.5% of patients exposed to an intravenous biologic (Infliximab or Vedolizumab), those exposed earlier (<3 months after diagnosis) used more health care services (mean = 3.3/year) than those exposed later (mean = 2.23/year); p <0.0001. In addition, the median (IQR) cumulative days of healthcare utilisation (missing school days) for patients treated with intravenous biologics was 48.5(32.4–67.9) days during paediatric care. Conclusion Adolescents with IBD have several healthcare encounters between the diagnosis and transfer to adult care. Disease severity at diagnosis was not related to a higher level of health services utilisation during follow-up. However, treatment with intravenous biologics was associated with a high health service utilisation and school missing during follow-up.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.585
Threshold uncertainty score0.834

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.006
GPT teacher head0.222
Teacher spread0.216 · 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 designObservational
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".

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Citations0
Published2020
Admission routes2
Has abstractyes

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