Intracorporeal versus extracorporeal anastomosis for robotic ileocolic resection in Crohn's disease.
Giacomo CaliniSolafah AbdallaMohamed A Abd El AzizHamedelneel A SaeedAnne-Lise D D'AngeloKevin T BehmSherief ShawkiKellie L MathisDavid W LarsonPublished in: Journal of robotic surgery (2021)
To date, there is no cohort in the literature focusing on the impact of the type of anastomosis in robotic ileocolonic resections for Crohn's Disease (CD). We aimed to compare short-term postoperative outcomes of robotic ileocolic resection for CD between patients who had intracorporeal (ICA) or extracorporeal anastomosis (ECA). We retrospectively included all consecutive robotic ileocolonic resections for CD at our institution between 2014 and 2020. We compared baseline, perioperative characteristics, and postoperative outcomes between ICA and ECA. The analysis included 89 patients: 71% underwent ICA and 29% ECA. Groups were similar in age, sex, body mass index, smoking, CD duration, Montreal classification, surgical history, and previous CD medical treatments. Return to bowel function was achieved sooner in the ICA group (ICA 1.6 ± 0.7 day, ECA 2.1 ± 0.8 days; p = 0.026) despite longer operative time (ICA 235 ± 79 min, ECA 172 ± 51 min; p < 0.001), but no statistical difference was found regarding ileus rate and length of stay. Overall, 30-day postoperative complication rate was 23.6% (ICA 22.2%, ECA 26.9%; p = 0.635). There were no abdominal septic complications, anastomotic leaks, or severe postoperative complications. In conclusion, robotic ileocolic resection for CD shows acceptable 30 days outcomes for both ICA and ECA. ICA was associated with a faster return to bowel function without impact on the length of stay or 30-day complications. Further studies are needed to confirm the benefits of ICA in the setting of ileocolic resections for CD.
Keyphrases
- robot assisted
- patients undergoing
- body mass index
- minimally invasive
- end stage renal disease
- machine learning
- healthcare
- newly diagnosed
- ejection fraction
- metabolic syndrome
- deep learning
- type diabetes
- physical activity
- peritoneal dialysis
- adipose tissue
- smoking cessation
- weight gain
- patient reported outcomes
- drug induced