Asymmetric figure-of-eight single-layer suture technique for intestinal anastomosis: A preliminary study

Frontiers in Surgery(2023)

引用 0|浏览5
暂无评分
摘要
BackgroundAnastomotic leakage is a life-threatening complication. Improvement of the anastomosis technique is needed, especially in patients with an inflamed edematous intestine. The aim of our study was to evaluate the safety and efficacy of an asymmetric figure-of-eight single-layer suture technique for intestinal anastomosis in pediatric patients.MethodsA total of 23 patients underwent intestinal anastomosis at the Department of Pediatric Surgery of Binzhou Medical University Hospital. Demographic characteristics, laboratory parameters, anastomosis time, duration of nasogastric tube placement, day of first postoperative bowel movement, complications, and length of hospital stay were statistically analyzed. The follow-up was conducted for 3–6 months after discharge.ResultsPatients were divided into two groups: the single-layer asymmetric figure-of-eight suture technique (group 1) and the traditional suture technique (group 2). Body mass index in group 1 was lower than in group 2 (14.43 ± 3.23 vs. 19.38 ± 6.74; P = 0.036). The mean intestine anastomosis time in group 1 (18.83 ± 0.83 min) was less than that in group 2 (22.70 ± 4.11 min; P = 0.005). Patients in group 1 had an earlier first postoperative bowel movement (2.17 ± 0.72 vs. 2.80 ± 0.42; P = 0.023). The duration of nasogastric tube placement in group 1 was shorter than that in group 2 (4.12 ± 1.42 vs. 5.60 ± 1.57; P = 0.043). There was no significant difference in laboratory variables, complication occurrence, and length of hospital stay between the two groups.ConclusionThe asymmetric figure-of-eight single-layer suture technique for intestinal anastomosis was feasible and effective. More studies are needed to compare the novel technique with the traditional single-layer suture.
更多
查看译文
关键词
intestinal anastomosis,asymmetric figure-of-eight suture,postoperatively complications,pediatric,single layer suture
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要