Predictors of Severity of Postoperative Pancreatic Fistula After Pancreatoduodenectomy.
Predictors of Severity of Postoperative Pancreatic Fistula After Pancreatoduodenectomy.
Pancreaticoduodenectomy is one of the commonly performed procedure for periampullary carcinoma/distal cholangio carcinoma/head of pancreas carcinoma. Postoperative pancreatic fistula remains the most important postoperative complication following pancreatic surgery. It's severity ranges from biochemical leak to grade C POPF which can lead to mortality. Radiological and biochemical parameters in early postoperative period predicts the severity of POPF after pancreatoduodenectomy. In this study, we will be evaluating the biochemical parameters and imaging findings as predictors of the severity of postoperative pancreatic fistula after pancreatoduodenectomy in early postoperative period.
(a) Aim and Objective - The aim of this study is to evaluate the biochemical parameters and imaging findings as predictors of the severity of postoperative pancreatic fistula after pancreatoduodenectomy in early postoperative period
Methodology:
1) Definitions: International study group on pancreatic fistula definition of Post-Operative Pancreatic Fistula POPF) will be used which are as follows: drain output of any measurable volume of fluid on or after postoperative day 3 with an amylase content greater than 3 times the serum amylase activity
Variables to be assessed:
Patient characteristics - Age, Sex, Height, Weight, BMI, Serum albumin levels, Pancreatic parenchymal thickness- at spleno-portal confluence, Indication of Pancreatoduodenectomy -Peri ampullary mass, head of pancreatic mass, distal cholangiocarcinoma Operative Parameters - Duration of surgery, Blood Loss, Pancreatic consistency, Intraoperative remnant pancreatic parenchymal thickness at pancreatojejunostomy site/ spleno portal confluence.
Postoperative measurements -
Statistical Analysis: Data will be entered into Excel Worksheet and statistical analyses will be performed by SPSS Statistics version 22 (IBM Corp., Armonk, NY). Statistical data will be represented as frequencies (%) where the continuous variables will be expressed as medians and interquartile range (IQR). Continuous variables will be compared with the student t test and Mann-Whitney test as appropriate. Differences between proportions derived from categorical data will be compared with Chi-square or Fischer's exact test. Variables will be correlated with clinical outcomes. ROC curve will be used for biochemical markers and imaging findings Repeated analyses of measures will be applied wherever applicable.
Adverse effects: None
Inclusion Criteria:
Exclusion Criteria: