Neutrophil-to-Lymphocyte Ratio at Diagnosis Predicts Colonoscopic Activity in Pediatric Inflammatory Bowel Diseases
Bibliographic record
Abstract
INTRODUCTION: Neutrophil-to-lymphocyte ratio (NLR) is a novel biomarker studied in several autoimmune diseases including inflammatory bowel disease (IBD) in adults but poorly characterized in pediatric IBD (pIBD). We aimed to primarily investigate the relationship between NLR and pIBD endoscopic disease severity. We also examined whether NLR predicted hospitalization, surgery, and therapy response by 52 weeks. METHODS: We used the Canadian Children IBD Network prospective inception cohort including patients < 18 years old with baseline data from 2013 to 2022. We excluded patients with concurrent diseases affecting NLR. Both Mayo endoscopic score (MES) and simple endoscopic scale for Crohn's disease (SES-CD) were dichotomized as low activity (quiescent-mild) and high activity (moderate-severe). For therapy responses, we examined year-1 steroid- and biologic-free remission. We used logistic regression for binary outcomes. RESULTS: A total of 580 patients with ulcerative colitis and 1,081 patients with CD were included. High NLR was associated with high-activity MES and SES-CD in both univariate and multivariable analyses (odds ratio = 1.45, 95% CI = 1.07-1.97, P value = 0.016; and odds ratio = 1.42, 95% CI = 1.04-1.94, P value = 0.026, respectively). We also calculated the best NLR cutoff point to predict MES (1.90, sensitivity = 68%, specificity = 67%, area under the curve [AUC] = 0.67, AUC 95% CI = 0.59-0.74) and SES-CD (2.50, sensitivity = 63%, specificity = 69%, AUC = 0.66, AUC 95% CI = 0.59-0.75) high activity. NLR did not predict therapy response in either ulcerative colitis or CD. DISCUSSION: Patients with pIBD with high baseline NLR are more probable to have worse endoscopic disease at diagnosis. This highlights NLR potential as a reliable noninvasive biomarker of disease activity. The predictive power of NLR is based mostly on neutrophils and the balance between neutrophils and lymphocytes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".