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Record W4391886481 · doi:10.1093/jcag/gwad061.226

A226 NEUTROPHIL-TO-LYMPHOCYTE RATIO AT DIAGNOSIS PREDICTS COLONOSCOPIC ACTIVITY IN PEDIATRIC INFLAMMATORY BOWEL DISEASES (PIBD)

2024· article· en· W4391886481 on OpenAlexaffabout
Bishoi Aziz, Reza Belaghi, Hien Q. Huynh, Kevan Jacobson, D Mack, Colette Deslandres, Anthony Otley, Jennifer deBruyn, Eileen Crowley, Mary Sherlock, Najma Ahmed, Anne M. Griffiths, Thomas D. Walters, Eytan Wine

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcMaster UniversityUniversity of TorontoWestern UniversityMontreal Children's HospitalUniversity of ManitobaDalhousie UniversityUniversity of OttawaUniversity of British ColumbiaUniversity of CalgaryChildren's Hospital of Eastern OntarioUniversité de MontréalUniversity of Alberta
Fundersnot available
KeywordsNeutrophil to lymphocyte ratioMedicineGastroenterologyInflammatory Bowel DiseasesColonoscopyInternal medicineLymphocyteInflammatory bowel diseaseImmunologyColorectal cancerDisease

Abstract

fetched live from OpenAlex

Abstract Background Neutrophil-to-lymphocyte ratio (NLR) has been recently identified as a potential biomarker for several autoimmune conditions. NLR predicts disease activity in adults with inflammatory bowel diseases (IBD) but had not been studied in pediatric IBD. Aims Investigate the link between NLR and baseline colonoscopic disease activity in UC and CD, the need for surgery or admission, and one-year therapy response in children. Methods Pediatric IBD patients were prospectively enrolled into the CIDsCaNN database [Canada-wide inception cohort for pediatric patients with IBD]. The cohort included patients diagnosed between 2003–2022 based on ileocolonoscopy, histopathology, and established diagnostic criteria. Patients were excluded if they had other conditions affecting NLR, such as neoplasms and autoimmune diseases. Endoscopic disease activity was assessed using the Mayo endoscopic score (MES; dichotomized as low (0, 1) or high activity (2, 3)) in UC and SES-CD score (as continuous variable) in CD. Logistic regression was used to test the link between predictors and binary outcomes. Simple linear regression was used to analyze the relationship between continuous variables. Results 576 UC and 1076 CD patients ampersand:003C18 years old were included. In UC, baseline NLR was significantly associated with baseline MES in univariate and multivariable logistic regression (multivariable OR= 1.5, 95% CI= 1.1–1.99, p= 0.019; Table). Patients with high-activity MES have significantly higher neutrophils (p= 0.0003), but lymphocytes wasn't different between the two groups. In CD, NLR was significantly correlated with SES-CD score in univariate and multivariable simple linear regression (multivariable coefficient= 1.4, 95% CI= 0.7–2.2, pampersand:003C0.0001; Fig1). Additionally, NLR predicted biologic-free remission in the CD cohort only in univariate analysis. NLR did not predict other the need for admission or surgery either in UC or CD. Conclusions Pediatric IBD patients with higher baseline NLR had a higher endoscopic disease activity. This establishes the significance of NLR as a non-invasive biomarker to help direct clinical decision making. This association suggests a role for neutrophils, as innate immunity cells in the acute stage of inflammation. Multivariable logistic regression of the relation between baseline labs in pediatric UC and Mayo endoscopic score Scatter plot demonstrating the relationship between baseline NLR and baseline SES-CD score Funding Agencies C.H.I.L.D.

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 score0.007
Threshold uncertainty score0.015

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)0.0020.000

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 head0.004
GPT teacher head0.207
Teacher spread0.203 · 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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

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