Complications in Laparoscopic Access in Standing Horses Using Cannula and Trocar Units Developed for Human Medicine.
Francisco José VazquezArantza VitoriaJavier Gómez-ArrueSara FuenteLaura BarrachinaIgnacio de BlasAntonio RomeroPublished in: Veterinary sciences (2023)
First cannulation is a critical manoeuvre in equine laparoscopy. This retrospective study aimed at the comparison of the frequency and type of complications detected when using different human laparoscopy devices for laparoscopic access in standing horses, and the influence of body condition in such complications. Forty-four procedures were included, and retrieved data comprised cannula insertion technique, body condition, and type and frequency of complications. Laparoscopic access techniques were classified into five groups: P: pneumoperitoneum created using Veress needle prior to cannulation; T: sharp trocar; D: direct access via surgical incision; V: Visiport optical trocar and H: optical helical cannula (OHC). In groups T, D, V and H, access was achieved without prior induction of pneumoperitoneum. Complications were registered in 13/44 procedures, of which retroperitoneal insufflation was the most common (6/13). Statistically significant association was found between the complication incidence and the type of access, with group D showing the highest complication frequency (80%) and group H the lowest frequency (0%). The majority of complications (9/13) were observed in overweight horses. We conclude that devices designed for human patients can be used for laparoscopic access in standing horses, with the use of OHC minimizing the appearance of complications, especially in overweight horses with OW.
Keyphrases
- robot assisted
- risk factors
- endothelial cells
- extracorporeal membrane oxygenation
- end stage renal disease
- high resolution
- induced pluripotent stem cells
- machine learning
- chronic kidney disease
- pluripotent stem cells
- body mass index
- intensive care unit
- acute respiratory distress syndrome
- peritoneal dialysis
- high speed
- mass spectrometry
- weight gain
- artificial intelligence
- data analysis