OBJECTIVES: Peripancreatic necrosis determines clinical severity in acute pancreatitis. Early markers predicting peripancreatic necrosis and clinical severity are lacking. Because adipocytes of peripancreatic adipose tissue secret highly active adipocytokines, the aim of the study was to investigate whether adipocytokines are able to serve as early markers predicting peripancreatic necrosis and clinical severity. METHODS: A total of 50 patients (20 women, 30 men) with acute pancreatitis were included in this noninterventional, prospective, and monocentric cohort study on diagnostic accuracy. Clinical severity was classified by the Ranson score and the APACHE (Acute Physiology And Chronic Health Evaluation) II score. Pancreatic and peripancreatic necrosis were quantified by using the computed tomography-based Balthazar score, the Schroeder score, and the pancreatic necrosis score. Adiponectin, leptin, and resistin were measured at admission and daily for at least 10 days by enzyme-linked immunosorbent assay. RESULTS: In contrast to admission C-reactive protein values, admission resistin values were significantly correlated with clinical severity and even with clinical end points such as death and need for interventions. Admission resistin levels were significantly elevated in patients with higher pancreatic and extrapancreatic necrosis scores. It was shown by receiver-operator characteristics that admission resistin concentration provides a positive predictive value of 89% in predicting the extent of peripancreatic necrosis (area under the curve, 0.8; P=0.002; sensitivity, 80%; specificity, 70%) by using a cutoff value of 11.9 ng/ml. CONCLUSIONS: Admission resistin concentration serves as an early predictive marker of peripancreatic necrosis and clinical severity in acute pancreatitis. Resistin may have potential for clinical use as a new and diagnostic serum marker.
OBJECTIVES:Peripancreatic necrosis determines clinical severity in acute pancreatitis. Early markers predicting peripancreatic necrosis and clinical severity are lacking. Because adipocytes of peripancreatic adipose tissue secret highly active adipocytokines, the aim of the study was to investigate whether adipocytokines are able to serve as early markers predicting peripancreatic necrosis and clinical severity. METHODS: A total of 50 patients (20 women, 30 men) with acute pancreatitis were included in this noninterventional, prospective, and monocentric cohort study on diagnostic accuracy. Clinical severity was classified by the Ranson score and the APACHE (Acute Physiology And Chronic Health Evaluation) II score. Pancreatic and peripancreatic necrosis were quantified by using the computed tomography-based Balthazar score, the Schroeder score, and the pancreatic necrosis score. Adiponectin, leptin, and resistin were measured at admission and daily for at least 10 days by enzyme-linked immunosorbent assay. RESULTS: In contrast to admission C-reactive protein values, admission resistin values were significantly correlated with clinical severity and even with clinical end points such as death and need for interventions. Admission resistin levels were significantly elevated in patients with higher pancreatic and extrapancreatic necrosis scores. It was shown by receiver-operator characteristics that admission resistin concentration provides a positive predictive value of 89% in predicting the extent of peripancreatic necrosis (area under the curve, 0.8; P=0.002; sensitivity, 80%; specificity, 70%) by using a cutoff value of 11.9 ng/ml. CONCLUSIONS: Admission resistin concentration serves as an early predictive marker of peripancreatic necrosis and clinical severity in acute pancreatitis. Resistin may have potential for clinical use as a new and diagnostic serum marker.
Authors: Sarah Navina; Chathur Acharya; James P DeLany; Lidiya S Orlichenko; Catherine J Baty; Sruti S Shiva; Chandra Durgampudi; Jenny M Karlsson; Kenneth Lee; Kyongtae T Bae; Alessandro Furlan; Jaideep Behari; Shiguang Liu; Teresa McHale; Larry Nichols; Georgios Ioannis Papachristou; Dhiraj Yadav; Vijay P Singh Journal: Sci Transl Med Date: 2011-11-02 Impact factor: 17.956
Authors: Pawan Noel; Krutika Patel; Chandra Durgampudi; Ram N Trivedi; Cristiane de Oliveira; Michael D Crowell; Rahul Pannala; Kenneth Lee; Randall Brand; Jennifer Chennat; Adam Slivka; Georgios I Papachristou; Asif Khalid; David C Whitcomb; James P DeLany; Rachel A Cline; Chathur Acharya; Deepthi Jaligama; Faris M Murad; Dhiraj Yadav; Sarah Navina; Vijay P Singh Journal: Gut Date: 2014-12-10 Impact factor: 23.059
Authors: Krutika Patel; Ram N Trivedi; Chandra Durgampudi; Pawan Noel; Rachel A Cline; James P DeLany; Sarah Navina; Vijay P Singh Journal: Am J Pathol Date: 2015-01-08 Impact factor: 4.307