Laparoscopic observations of adhesions between peritoneal dialysis catheters and intraperitoneal organs: A retrospective, observational study

Laparoscopy provides extensive data for the decannulation of a peritoneal dialysis catheter and is being increasingly used to diagnose encapsulating peritoneal sclerosis. However, there are few reports on the methods of decannulation of peritoneal dialysis catheters. In this study, we examined the laparoscopic findings and postoperative complications of patients undergoing peritoneal dialysis catheter removal. A total of 119 laparoscopic decannulations of peritoneal dialysis catheters were performed between 2003 and 2018 at the Juntendo University Hospital and Juntendo University Nerima Hospital. Laparoscopy was performed during peritoneal dialysis catheter removal by a gastrointestinal surgeon. Patient characteristics such as age, sex, duration of peritoneal dialysis, history of peritonitis and age at the time of peritoneal dialysis termination were assessed. Of these 119 cases, 19 (16.0%) showed adhesion between the peritoneal dialysis catheter and intraperitoneal organs. There were 13 (10.9%) cases involving a tangled omentum, 4 (3.4%) cases involving the small intestine and 2 (1.7%) cases of adhesions extending from the bowels to the abdominal wall. No postoperative complications were associated with the laparoscopic surgery. In these cases, blind decannulation of the peritoneal dialysis catheter may result in injury to the gastrointestinal tract in patients with adhesions. Therefore, we need to pay attention to adhesions between peritoneal dialysis catheters and intraperitoneal organs, and laparoscopy could be a valuable tool in detecting such adhesions and ensuring patient safety.

Automated summary

This study examined the laparoscopic findings and postoperative complications of patients undergoing peritoneal dialysis catheter removal. The results showed that 16% of cases had adhesion between the catheter and intraperitoneal organs. The study suggests that laparoscopy is an effective tool for detecting and ensuring patient safety.