Literature DB >> 31535593

Validation of a clinical score in predicting pancreatic fistula after pancreaticoduodenectomy.

Mario Kopljar1,2, Miran Čoklo3, Antonija Krstačić2,4,5, Goran Krstačić2,4,6, Vjekoslav Jeleč2,7, Mario Zovak1, Roman Pavić2,5, Goran Kondža2,8.   

Abstract

BACKGROUND: Postoperative pancreatic fistula (POPF) is one of the most severe complications after cephalic pancreaticoduodenectomy, with mortality as high as 30%. Risk scores may help predict the risk of POPF. Multiple external validations substantially improve generalized clinical acceptability of a scoring system. AIM: The aim of this study was to externally validate previously described fistula risk score in the prediction of clinically relevant POPF.
METHODS: All patients who underwent pancreaticoduodenectomy for any indication during a 5-year period were prospectively analyzed. A total of 132 patients were analyzed.
RESULTS: Of the 132 patients, 44 (33.3%) developed pancreatic fistula, including 12.9% biochemical leaks, 7.6% grade B fistula, and 12.9% grade C fistula. Cut-off point of 4.5 was determined to best separate patients who developed clinically relevant POPF with area under curve of 78% (p = .00003). Sensitivity and specificity for the prediction of clinically relevant POPF with the cut-off value of 4.5 was 70.4 and 74.3%, respectively. Positive predictive value with cut-off value 4.5 was 57.8%, and negative predictive value was 83.4%.
CONCLUSION: Fistula risk score identified low risk patients with false negative rate of 16.6%. Further external validation studies on large cohorts of patients and with wide case-mix may enable additional refinements of the score model.

Entities:  

Keywords:  Pancreaticoduodenectomy; clinical score; decision support techniques; pancreatic fistula; risk assessment

Year:  2019        PMID: 31535593     DOI: 10.1080/00015458.2019.1664541

Source DB:  PubMed          Journal:  Acta Chir Belg        ISSN: 0001-5458            Impact factor:   1.090


  1 in total

1.  Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy.

Authors:  Runwen Liu; Yunqiang Cai; He Cai; Yajia Lan; Lingwei Meng; Yongbin Li; Bing Peng
Journal:  BMC Surg       Date:  2021-01-04       Impact factor: 2.102

  1 in total

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