ArticlePediatric research2025
Explorative study on the value of hepcidin in predicting iron non-responsiveness in paediatric inflammatory bowel disease.
Article in Pediatric research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Clinical Trial: Predicting Response to Iron Therapy in Patients With Active Inflammatory Bowel Disease Using Hepcidin and Functional Iron Indices: A Multicentre Randomised Trial.Alimentary pharmacology & therapeutics · 2026Trial
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11 authors.
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Abstract
backgroundIn a considerable proportion of anaemic children with inflammatory bowel disease (IBD), haemoglobin (Hb) does not normalise after iron therapy. We evaluated the added value of novel iron markers (hepcidin and soluble transferrin receptor [sTfR]) as compared to traditional iron markers (ferritin and transferrin saturation [TSAT]) to determine the best strategy for the prediction of non-responsiveness to iron suppletion.
methodsIn this secondary analysis of prospectively collected data, we measured iron markers in anaemic children (Hb Z-score < -2.0) with IBD at baseline and one month after the initiation of iron therapy. Non-responsiveness was defined as an increase in Hb Z-score of less than 1 within a month. Logistic regression analysis was used to construct multi-biomarker prognostic models.
resultsOf 40 anaemic paediatric IBD patients, sixteen (40%) were non-responsive to iron therapy after one month. Hb Z-score and hepcidin Z-score had the highest predictive ability (area under the ROC curve [AUROC] 0.80) providing sensitivity of 69% and specificity 92%. In a post-hoc analysis we defined hepcidin cut-off values to predict iron non-responsiveness.
conclusionA diagnostic strategy that involves baseline Hb Z-score and hepcidin Z-score in anaemic children with IBD reliably identifies those who will not respond to iron therapy. IMPACT: Non-response to oral and intravenous iron suppletion therapy is high in paediatric IBD and should be identified early. Prediction models using baseline hepcidin demonstrated higher sensitivity and specificity to predict iron non-response compared to models using baseline traditional iron indicators (ferritin and transferrin saturation). In a post hoc analysis, we defined cut-off values for hepcidin to facilitate the correct timing of iron treatment in young anaemic patients with chronic inflammatory bowel disease.
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