Ruben Luna, MD, Carlos Luna, MD, Daniel Gomez, Luis F Cabrera, MD, Laura Castro, Mauricio Pedraza. Bosque University
Introduction: Robotictechnology is an emerging technology that has been developed in order to overcome some limitations of the standard laparoscopic approach, offering a stereoscopic three-dimensional visualization of the surgical field, increased maneuverability of the surgical tools with consequent increased movement accuracy and precision and improved ergonomics.Laparoscopic surgery is considered the standard approach for the treatment of paraesophageal hernias. Despite its advantages, this approach is technically demanding with a significant learning curve. There is no consensus on the optimal technique for hiatal hernia repair, and considerable recurrence rates are reported.
Objectives: Describe the feasibility and safety of roboticassistance for the treatment of paraesophageal hernias in a third world country.
Materials and methdos: Between August 2016 and June 2018. Patients who underwent elective or urgent Robotically assisted paraesophageal hernia repair were included in a prospectively collected database. Demographic data, American Society of Anesthesiologists classification, preoperative testing, operative time, length of hospital stay, conversion rate, morbidity, recurrence and mortality were recorded and reviewed retrospectively.
Results: 4 underwent elective and 1 patient underwnt urgent Robotically assisted paraesophageal hernia repair, the type of the hernia, was type IV 100%. Operative time averaged 196 minutes, including robot setup time. There were no conversions. The average blood loss was 23 mL. Perioperative complications, including intraoperative and 30-day complications, were 0%.The mean length of hospitalization was 5 days. No recurrence. There were no deaths.
Conclusions: Robotically assisted paraesophageal hernia repair has proved to be feasible and safe with a learning curve comparable to the standard laparoscopic approach in a third world country
Presented at the SAGES 2017 Annual Meeting in Houston, TX.
Abstract ID: 95320
Program Number: P566
Presentation Session: Poster Session (Non CME)
Presentation Type: Poster
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