Technical aspects and standardization of the totally robotic Roux-en-Y gastric bypass. Results of a single surgeon experience with a 5-year follow-up.


Journal

Acta chirurgica Belgica
ISSN: 0001-5458
Titre abrégé: Acta Chir Belg
Pays: England
ID NLM: 0370571

Informations de publication

Date de publication:
Jun 2022
Historique:
pubmed: 16 2 2021
medline: 14 5 2022
entrez: 15 2 2021
Statut: ppublish

Résumé

The use of robotics in bariatric surgery is increasing worldwide, with as main objective reducing complications and optimising surgical outcome. This study presents the results of a single surgeon 8-year experience with a totally robotic Roux-en-Y gastric bypass (RYGB). A total of 183 consecutive patients underwent a robotic bariatric procedure. A retrospective analysis was performed of all patient files to obtain patient characteristics, weight loss results and per- and postoperative morbidity. For long-term follow-up all patients were contacted one by one. In 155/183 patients, a primary RYGB was performed, 23 procedures were revisional cases and in 5 other procedures were performed. Mean initial weight was 112.07 (±20.5) kg, mean start BMI was 40.8 (±5.36) kg/m The robotic RYGB is a safe and reproducible approach to treat morbid obesity. A secure hand-sewn gastrojejunal anastomosis, quick recovery and better ergonomics are the main advantages of this technique.

Identifiants

pubmed: 33587676
doi: 10.1080/00015458.2021.1889134
pii: 10.1080/00015458.2021.1889134
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

169-177

Auteurs

Emmelie Reynvoet (E)

Department of General Surgery, AZ Jan Palfijn Gent, Ghent, Belgium.

Veerle Van Vlodrop (V)

Department of General Surgery, AZ Jan Palfijn Gent, Ghent, Belgium.

Kurt Hendrick (K)

Department of General Surgery, AZ Jan Palfijn Gent, Ghent, Belgium.

Dries Vandeweyer (D)

Department of General Surgery, AZ Jan Palfijn Gent, Ghent, Belgium.

Carlos Vaz (C)

Department of General Surgery, CUF Infante Santo Hospital, Lisbon, Portugal.

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Classifications MeSH