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Record W4318539451 · doi:10.1093/ecco-jcc/jjac190.0312

P182 Modified Multiplier SES-CD (MM-SES-CD) and laboratorial Crohn’s disease activity parameters: is there any association?

2023· article· en· W4318539451 on OpenAlexaboutno aff
Tiago Lima Capela, A I Ferreira, Vítor Macedo Silva, Marta Freitas, Cátia Arieira, T Cúrdia Gonçalves, Francisca Dias de Castro, Maria João Moreira, Jorge Cotter

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsGastroenterologyInternal medicineMedicineCalprotectinCrohn's diseaseCohortDiseaseInflammatory bowel disease

Abstract

fetched live from OpenAlex

Abstract Background Contrary to the Simple Endoscopic Score for Crohn’s Disease (SES-CD), Modified Multiplier SES-CD (MM-SES-CD) is a new endoscopic severity assessment tool that was able to predict one-year endoscopic remission in patients with Crohn’s Disease (CD) on active therapy. Unlike SES-CD, MM-SES-CD accounts for the number of segments affected and the different prognostic weight of individual SES-CD parameters according to disease location. Nevertheless, there is scarce information regarding its relationship with laboratorial parameters, namely C-reactive protein (CRP) and fecal calprotectin (FC). We aimed to analyze the association between MM-SES-CD and these laboratorial parameters. Methods Retrospective cohort-study including all ileocolonoscopies performed in adult CD patients between January 2020 and October 2022 with CRP (mg/dL) and FC (ug/g) collected within one month. Patients with previous intestinal surgery or inadequate bowel preparation were excluded. MM-SES-CD, ranging from 0 to 130.5, was calculated and different severity categories were defined as follows: remission (<14), mild (≥14 to <31), moderate (≥31 to <45), and severe (≥45). MM-SES-CD values were correlated and compared, according to severity categories, with laboratorial biomarkers. Results A total of 272 ileocolonoscopies from 218 CD patients were included, most females (54.1%) with a mean age of 41 years old. Most patients were A2 (72.8%), L1 (51.1%) and B1 (73.9%), according to Montreal classification. Median MM-SES-CD, CRP and FC was 12.0, 2.9 and 222.0, respectively. Despite MM-SES-CD values correlated weakly with CRP (r=0.376, P<0.001) and moderately with FC (r=0.531, P<0.001), patients with endoscopic remission had significantly lower median CRP (2.9 vs 7.7, P<0.001) and FC (128 vs 587, P<0.001) than patients with active disease. Additionally, median CRP (2.9 vs 6.0 vs 16.0 vs 30.7, P<0.001), and median FC (128 vs 531 vs 637 vs 877, P<0.001) were significantly different between MM-SES-CD severity categories (remission vs mild vs moderate vs severe), respectively. CRP and FC optimal cut-offs for endoscopic remission were 8.5 mg/dL (Sensitivity 74.7%, Specificity 43.6%, negative predictive value (NPV) 77.4%, positive predictive value (PPV) 40.0%) and 471.5 ug/g (Sensitivity 62.6%, Specificity 87.3%, NPV 82.3%, PPV 71.3%), respectively. Conclusion To the best of our knowledge, this is the first study reporting an association between CRP and FC and increasing degrees of disease activity assessed by MM-SES-CD. A CRP <8.5 mg/dL and a FC <471.5 ug/g are suggested as cut-offs associated with endoscopic remission.

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 score0.011

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.254
Teacher spread0.244 · 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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Citations1
Published2023
Admission routes1
Has abstractyes

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