Management of leak after sleeve gastrectomy: outcomes of 73 cases, treatment algorithm and predictors of resolution
Introduction
Gastric leak post laparoscopic sleeve gastrectomy (LSG) is a severe complication that has been reported in 1.5–3% of cases. Management algorithms of leak exist; however, no known factors predict the time to resolution. This study aims to share outcomes of our management algorithm of post LSG leak, including the rate of resolution, complications, admission to the intensive care unit, conversion to other techniques, and mortality. To determine if any factors can predict the resolution time.
Methods
A retrospective analysis of patients who had LSG leaks and was managed in the main tertiary center in Qatar (January 2012–December 2017).
Results
A total of seventy-three patients had post LSG leaks. Fifty-six (76.7%) underwent LSG outside our center. Thirteen leaks (17.8%) were after revisional LSG. Laparoscopic exploration was performed in twenty patients (27.4%) and feeding jejunostomy in nine patients (12.3%). Patients were followed up for 12 months. All healed within 8.8 ± 0.72 weeks. The resolution rate was (97.1%) without surgical conversion, while two patients required fistulo-jejunostomy. No patient died. Complications occurred; re-leak (14.9%) and splenic abscess (2.9%). Patients on jejunal feeding had shorter resolution time (HR = 2.7, P = 0.018), while patients on total parenteral nutrition and post-endoscopic dilatation had 66% and 50% increases in the resolution time; (HR = 0.34, P = 0.026) and (HR = 0.5, P = 0.047), respectively.
Conclusion
Management of post-LSG leak is multimodal. Our clinical experience demonstrated less urge to perform extensive surgical interventions. Patients on enteral feeding had shorter resolution time while patients with sleeve stricture had a longer time to resolution.
Other Information
Published in: Obesity Surgery
License: https://creativecommons.org/licenses/by/4.0
See article on publisher's website: http://dx.doi.org/10.1007/s11695-019-04203-w
History
Language
- English
Publisher
Springer NaturePublication Year
- 2019
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Hamad Medical Corporation
- Hamad General Hospital - HMC
- Weill Cornell Medicine - Qatar