BACKGROUND/AIMS: Predicting the severity of acute pancreatitis is limited to clinical, laboratory and radiological risk factors. Hepcidin levels increase in acute inflammation. We aimed to assess the relationship between hepcidin and C-reactive protein (CRP), white blood cells (WBC) and multi-detector computerized tomography (MDCT) in predicting the severity of pancreatitis. METHODOLOGY: We undertook a prospective review of 59 consecutive patients with acute pancreatitis admitted to our clinic. Biochemical values were measured from blood samples taken within 2 hours of admission and from between 2 and 72 hours related to the time of symptom onset. RESULTS: In predicting severe acute pancreatitis, hepcidin was superior to CRP and WBC (Area Under the Curve (AUC)=0.79, p=0.003; AUC=0.69, p=NS; AUC=0.53, p=NS, respectively). CONCLUSIONS: In this study, hepcidin was found to be superior to CRP in predicting the severity of pancreatitis.
BACKGROUND/AIMS: Predicting the severity of acute pancreatitis is limited to clinical, laboratory and radiological risk factors. Hepcidin levels increase in acute inflammation. We aimed to assess the relationship between hepcidin and C-reactive protein (CRP), white blood cells (WBC) and multi-detector computerized tomography (MDCT) in predicting the severity of pancreatitis. METHODOLOGY: We undertook a prospective review of 59 consecutive patients with acute pancreatitis admitted to our clinic. Biochemical values were measured from blood samples taken within 2 hours of admission and from between 2 and 72 hours related to the time of symptom onset. RESULTS: In predicting severe acute pancreatitis, hepcidin was superior to CRP and WBC (Area Under the Curve (AUC)=0.79, p=0.003; AUC=0.69, p=NS; AUC=0.53, p=NS, respectively). CONCLUSIONS: In this study, hepcidin was found to be superior to CRP in predicting the severity of pancreatitis.
Authors: Pedro Silva-Vaz; Ana Margarida Abrantes; Miguel Castelo-Branco; António Gouveia; Maria Filomena Botelho; José Guilherme Tralhão Journal: Int J Mol Sci Date: 2020-01-04 Impact factor: 5.923
Authors: Pedro Silva-Vaz; Ana Margarida Abrantes; Sara Morgado-Nunes; Miguel Castelo-Branco; António Gouveia; Maria Filomena Botelho; José Guilherme Tralhão Journal: Int J Mol Sci Date: 2020-06-16 Impact factor: 5.923
Authors: Yi Jiang; Feng-Quan Jiang; Fang Kong; Meng-Meng An; Bei-Bei Jin; Da Cao; Ping Gong Journal: Ann Intensive Care Date: 2019-06-10 Impact factor: 6.925
Authors: Mihai Faur; Sorin Radu Fleaca; Claudia Diana Gherman; Ciprian Ionut Bacila; Denisa Tanasescu; Dragos Serban; Laura Carina Tribus; Corneliu Tudor; Gabriel Catalin Smarandache; Daniel Ovidiu Costea; Mihail Silviu Tudosie; Dan Sabau; Gabriel Andrei Gangura; Ciprian Tanasescu Journal: Med Sci Monit Date: 2022-07-07