Bile Leak Reduction with Laparoscopic Versus Open Liver Resection: A Multi-institutional Propensity Score-Adjusted Multivariable Regression Analysis

World J Surg. 2020 May;44(5):1578-1585. doi: 10.1007/s00268-019-05343-x.

Abstract

Introduction: The reported rate of postoperative bile leak is variable between 3 and 33%. Recent data would suggest a minimally invasive approach to liver surgery has decreased this incidence.

Methods: This multi-institutional case-control study utilized databases from three high-volume surgeons. All consecutive open and minimally invasive liver resection cases were analyzed in a propensity score-adjusted multivariable regression. A p value < 0.05 was considered significant.

Results: In 1388 consecutive liver resections, the average age was 56.9 ± 14.0 years, 730 (52.59%) were male gender, and 599 (43.16%) underwent minimally invasive liver resection. Thirty-nine (2.81%) in the series were identified with post-resection bile duct leaks. Leaks were associated with major resections and increased blood loss (p < 0.05). Propensity score-adjusted multivariable regression identified minimally invasive liver resection significantly and independently reduced the odds of bile duct leak (OR 0.48, p = 0.046) even controlling for BMI, ASA, cirrhosis, major resection, and resection year.

Conclusions: Our data suggest the incidence of bile leaks in a large-volume center series is far less than previously reported and that a minimally invasive approach to liver resection reduces the incidence of postoperative bile leak.

Publication types

  • Comparative Study
  • Multicenter Study

MeSH terms

  • Adult
  • Aged
  • Bile Ducts / surgery*
  • Bile*
  • Blood Loss, Surgical
  • Case-Control Studies
  • Female
  • Hepatectomy / adverse effects*
  • Hepatectomy / methods
  • Humans
  • Laparoscopy / adverse effects
  • Male
  • Middle Aged
  • Minimally Invasive Surgical Procedures / adverse effects
  • Multivariate Analysis
  • Postoperative Complications / etiology*
  • Propensity Score
  • Protective Factors
  • Regression Analysis