Nationwide validation of the ISGPS risk classification for postoperative pancreatic fistula after

J Annelie Suurmeijer1, Anouk M Emmen1, Bert A Bonsing2

  • 1Amsterdam UMC, location University of Amsterdam, Department of Surgery, the Netherlands; Cancer Center Amsterdam, the Netherlands.

Surgery
|March 1, 2023
PubMed

Insights

The 4-tier International Study Group of Pancreatic Surgery classification for postoperative pancreatic fistula after pancreatoduodenectomy is validated. A simplified 3-tier system offers comparable predictive value, suggesting potential for improved clinical risk stratification.

Area of Science:

  • Surgery
  • Gastroenterology
  • Oncology

Background:

  • The International Study Group of Pancreatic Surgery (ISGPS) developed a 4-tier risk classification (A-D) for postoperative pancreatic fistula (POPF) grade B/C after pancreatoduodenectomy.
  • This classification is based on pancreatic texture and pancreatic duct size.

Purpose of the Study:

  • To validate the ISGPS 4-tier risk classification system for POPF after pancreatoduodenectomy.
  • To assess the predictive value of the classification in a nationwide cohort.

Main Methods:

  • A retrospective analysis of 3,900 consecutive patients undergoing pancreatoduodenectomy (2014-2021) from the Dutch Pancreatic Cancer Audit.
  • Calculation of POPF grade B/C rates per risk category and assessment of model performance using area under the receiver operating curve (AUC) and calibration plots.

Main Results:

  • The 4-tier system showed varying POPF grade B/C rates (3.8% to 29.6%) and significant differences in in-hospital mortality (P=.001).
  • No significant difference in POPF rates was observed between risk categories B and C (12.2% vs 15.6%, P=.101).
  • A simplified 3-tier classification demonstrated comparable predictive discrimination (AUC 0.697 vs 0.701, P=.077).

Conclusions:

  • The ISGPS 4-tier classification is validated but the two middle categories (B and C) lack distinct predictive value.
  • A simplified 3-tier classification system with similar predictive performance is proposed for future validation.
Abstract

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