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Record W4391162190 · doi:10.1093/ecco-jcc/jjad212.0606

P476 Correlation between fecal calprotectin and inflammation on ultrasound in fibrostenotic Crohn’s Disease

2024· article· en· W4391162190 on OpenAlexaff
Vishrut Gulhati, Ryan E. Rosentreter, M Motamedi, A Macci, R Ingram, Gilaad G. Kaplan, Christopher Ma, Cynthia H. Seow, Kerri L. Novak, Remo Panaccione, Cathy Lu

Bibliographic record

VenueJournal of Crohn s and Colitis · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCalprotectinMedicineCrohn's diseaseInternal medicineGastroenterologyFecesDiseaseInflammationUltrasoundInflammatory bowel diseaseRadiologyBiologyMicrobiology

Abstract

fetched live from OpenAlex

Abstract Background Fibrostenotic Crohn’s Disease (CD) is a challenging phenotype particularly due to the absence of intestinal anti-fibrotic therapies. Differentiating between strictures that are predominantly fibrotic versus inflammatory remains a diagnostic dilemma. The ability to make this differentiation is critical to inform therapeutic decisions. Fecal calprotectin (FC) is a stool marker reflective of intestinal inflammation. Very few studies have evaluated the relationship of FC concentration in ileal CD strictures and parameters of inflammation on intestinal ultrasound (IUS). Strictures on imaging are defined as 1) increased bowel wall thickness (BWT), 2) narrowed luminal apposition, and 3) pre-stenotic dilation (PSD). BWT and hyperemia (color Doppler signal (CDS)) are the most sensitive markers for CD inflammation on IUS. It is predicted that FC will match CDS in ileal strictures, similar to non-stricture phenotypes. We aim to correlate FC levels with IUS inflammation of ileal CD strictures. Methods We performed a retrospective cohort pilot study exploring the relationship between FC levels and IUS inflammatory parameters in ileal strictures. FC levels were obtained ≤ 60 days of index IUS in fibrostenotic ileal CD patients. Individuals who underwent medication changes or experienced a clinical flare during this period were excluded. Inflammation was measured as BWT and CDS using a modified Limberg (ML) score. Pearson correlation for continuous variables, Spearman rank correlation and a Kruskal-Wallis test for FC and Limberg scale were completed. Results A total of 25 fecal samples were obtained from 17 patients with ileal strictures (47% male, median age 59 years (range 18-76)) were assessed. Median FC concentrations was 204.9 ug/g, IQR: 250.4. Median ileal stricture BWT was 7.0 mm (range 3.0–10.0). 40% (10/25) had ML1 (short chains in bowel), 32% (8/25) ML2 (long chains in bowel), and 28% (7/25) ML3 (long chains and perienteric fat). There was no correlation between FC and BWT (r=0.02, p=0.92), nor FC with ML scores (r=0.20, p=0.25). In those with ML1, median FC was 232.4, while those with ML2 or 3, had a FC of 155.6 and 469.7, respectively. FC values were significantly different between the ML scores, p<0.0001. Conclusion FC levels were not correlated with inflammatory parameters as seen on IUS in ileal CD. This unexpected finding may be due to ML2 scores having lower FC than anticipated, and small sample size. Other imaging factors such as loss of wall stratification need to be taken into account, and are perhaps more reflective of inflammation than BWT and CDS. This study provides the initial data to assess accuracy of FC and hyperemia of ileal CD strictures on IUS compared to histologic measures of inflammation on resected specimens.

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)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.007
GPT teacher head0.237
Teacher spread0.230 · 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
Published2024
Admission routes1
Has abstractyes

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