Predicting hepcidin level using inflammation markers and iron indicators in patients with anemia of chronic disease

BACKGROUND: Recently, a small peptide called Hepcidin, was found to have an important role in regulating the iron metabolism in anemia of chronic disease (ACD) patients. Hepcidin is regulated by a variety of conditions at the transcriptional level. Therefore, our study aims to predict the level of hepcidin serum using inflammation markers and iron indicators in patients afflicted with ACD and observe how this severity of inflammation separated the level of interleukin-6 (IL-6), as well the as hepcidin level. METHODS: A cross-sectional data analysis was conducted on 80 ACD adult patients treated at the Sanglah Teaching Hospital in Bali, Indonesia. We used hepcidin serum and several markers, such as the hemoglobin level, inflammation markers, renal function tests, IL-6, and iron indicators, to predict the hepcidin level. RESULTS: This study recruited 80 ACD patients, comprising 45 men (56.3%) and 35 women (43.7%). The mean age of the participants was 43 ± 16.5 years. Only IL-6, ferritin and serum creatinine correlate significantly with serum hepcidin from seven variables that were previously eligible to enter the analysis. This study found the model to predict the hepcidin level using IL-6 ferritin and the creatinine level as the hepcidin level (predicted) = −23.76 + 0.396 (IL 6) + 0.448 (ferritin) + 0.310 (creatinine). CONCLUSION: This study has revealed that the creatinine level, ferritin and IL-6 can be used to predict the hepcidin level in patients with anemia of chronic disease. It is to be hoped that further cohort studies can validate our formula to predict the hepcidin level.