P129 Hepcidin and ferritin index can help to differentiate between different types of anaemia: an exploratory study. (21st January 2022)

• Record Type: Journal Article
• Authors: Bevers MD, N; Adriaans, G M C; Aliu, A; Rezazadeh Ardabili, A; Vreugdenhil, A C E; de Almeida, R; van Rheenen, P F; Pierik, M J
• Is Part Of: Journal of Crohn's and colitis. Volume 16(2022)Supplement 1
• Page Start: i215
• Page End: i216
• Publication Date: 2022-01-21
• Subjects: Inflammatory bowel diseases -- Periodicals; 616.344005
• DOI: 10.1093/ecco-jcc/jjab232.257
• Languages: English
• ISSNs: 1873-9946

Abstract

Abstract: Background: Anaemia is frequent in patients with IBD. Iron deficiency anaemia [IDA] and anaemia of chronic disease [ACD] are the most common subtypes and warrant a different treatment approach. The ESPGHAN/ NASHGAN position paper on Anaemia in Children with IBD describes cut-off values on ferritin, transferrin saturation [TSAT] and ferritin index (soluble transferrin receptor/log10(ferritin)) [sTfR-F], to distinguish between IDA and ACD. However, cut-off values for sTfR-F and hepcidin are based on adult data. In this exploratory study we used a data driven approach to define different anaemia groups, using hepcidin and sTfR-F and studied differences between groups and their response to iron suppletion therapy. Insights contribute to a better description of ACD and IDA in a pediatric population. Methods: Data from the multi-centre prospective POPEYE study (NTR4487) consisting of a paediatric IBD population was used. Subjects with anaemia (haemoglobin [Hb] < 2 standard deviations [SD] below the mean of a healthy age reference group) with baseline ferritin, TSAT, hepcidin, sTfR-F and erythrocyte sedimentation rate [ESR] values were selected. Summary statistics of these biomarkers were generated for the data-driven groups and compared with existing characteristics for IDA and ACD groups. At baseline subjects received oral or intravenous iron repletion therapy, Hb was determined at baseline and 1 month after iron therapy. Kmeans was used, an unsupervised clustering algorithm using Euclidean distance, to divide data points into k clusters based on sTfR-F and hepcidin. Results: Mean age was 13.6 (2.5 SD) years, and mean standardized Hb value -3.2 at baseline for 47 subjects. Data driven groupings using Kmeans (k=3) were based on baseline hepcidin and sTfR-F (figure 1). Group 1 shows characteristics indicative for IDA, with mean ferritin <15µg/l, TSAT < 20% and sTfR-F > 2. Group 2 shows signs suggestive for inflammation since ferritin, hepcidin and ESR were increased (mean ESR 28, 5 mm/h [23, 2 SD]); this group could be characterized as ACD. Group 3 could not be related to a specific anaemia type. Mean standardized Hb increase 1 month after iron repletion for 37 patients, was 2, 9 (SD 0, 8), 0, 8 (0, 7 SD), 1, 3 (1, 1 SD), for group 1, 2 and 3 respectively. Conclusion: Explorative data-driven analysis of a real-world data set showed that hepcidin and sTfR-F can be used to characterize groups that relate to ACD and IDA in a paediatric population. Children with high sTfR-F and low hepcidin possibly benefit more from iron repletion therapy (group 1), compared to when hepcidin is high (group 2). If validated in a larger patient population this determination could contribute to the development of diagnostic algorithms that support targeted therapy.