Use of Clavien-Dindo classification in evaluating complications following pancreaticoduodenectomy in 1,056 cases: A retrospective analysis from one single institution.

The Clavien-Dindo (C-D) classification is a simple and feasible grading system of postoperative complications. The aim of the present study was to apply this system to retrospectively classify all types of post-pancreaticoduodenectomy (PD) complications (PPCs) and to systematically identify associated risk factors. Between January 2009 and December 2014, the C-D classification was applied to retrospectively classify PPCs for 1,056 patients who had undergone PD at the West China Hospital.

Incidence of and Risk Factors and Reinterventions for Post-Pancreatoduodenectomy Hemorrhage: Retrospective Analysis.

Aims: To analyze the incidence of and risk factors for post-pancreatoduodenectomy (PD) hemorrhage (PPH) and to evaluate the outcomes of reinterventions for PPH.

Methods: All PDs between January 2009 and December 2014 were retrospectively evaluated. PPH was evaluated according to the criteria of the International Study Group of Pancreatic Surgery.

Effect of transjugular intrahepatic portosystemic shunt on glycometabolism in cirrhosis patients.

Objective: Patients with liver cirrhosis suffer from hyperinsulinemia, hyperglucagonemia and a certain degree of insulin resistance, and portosystemic shunts may be involved in the etiology. A transjugular intrahepatic portosystemic shunt (TIPS) as a treatment for the complications of portal hypertension leads to hemodynamic changes. The objective of the present study is to evaluate whether TIPS can also affect glycometabolism in cirrhosis patients.

[Comparative proteomics of pancreatic cancer].

Objective: To identify differentially expressed proteins between pancreatic tumor tissues and the adjacent noncancerous tissues by comparative proteomics analysis.

Methods: Six pairs pancreatic tumor tissues and the adjacent noncancerous tissues were obtained and selected for two-dimensional polyacrylamide gel electrophoresis (2-DE) analysis. The differentially expressed proteins were identified using the PDQuest 2-D analysis software.