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Kopljar, Mario; Čoklo, Miran; Krstačić, Antonija; Krstačić, Goran; Jeleč, Vjekoslav; Zovak, Mario; Pavić, Roman; Kondža, Goran
ANZ journal of surgery, December 2020, 2020-12-00, 20201201, Letnik: 90, Številka: 12Journal Article
Background Pancreatic fistula after pancreaticoduodenectomy is one of the most severe complications with mortality rates as high as 45%, and the prediction of most severe form of fistula (grade C) is crucial for successful management of patients who are to undergo cephalic pancreatoduodenectomy. It has been found that the amount of abdominal fat may predict grade C postoperative pancreatic fistula. In this study, we analysed the value of retrorenal fat thickness in the prediction of grade C pancreatic fistula. Methods A total of 140 patients who underwent pancreaticoduodenectomy were retrospectively analysed. Retrorenal fat thickness and intra‐abdominal fat, expressed as total fat area, visceral fat area and subcutaneous fat area, were determined from computed tomography slices using the known range of attenuation values (−190 to −30). Blood loss, operating time, pancreatic texture and main pancreatic duct diameter as well as body mass index were also analysed. Results Retrorenal fat thickness (P = 0.0004), duct diameter (P = 0.0008), subcutaneous fat area (P = 0.023) and total fat area (P = 0.014) were found to be significant predictors of grade C pancreatic fistula. Conclusion Although retrorenal fat tissue thickness may seem robust, it is a simple measure that can be used to predict the most severe grade of pancreatic fistula after pancreaticoduodenectomy. Prediction of the most severe form of postoperative pancreatic fistula is crucial for successful management of patients who are to undergo cephalic pancreatoduodenectomy. Measurement of retrorenal fat tissue thickness is a simple measure that may help to predict the most severe grade of pancreatic fistula after pancreaticoduodenectomy.
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JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
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