Efficacy of sternocleidomastoid muscle flap in reducing anastomotic mediastinal/pleural cavity leak

Esophagus : official journal of the Japan Esophageal Society(2022)

引用 0|浏览3
暂无评分
摘要
Background Anastomotic mediastinal/pleural cavity leak (AMPCL) is a life-threatening postoperative complication after esophagectomy. The objective of this study was to find a safe and effective surgical method to reduce the incidence of AMPCL. Methods A total of 223 patients who underwent surgery in Fujian Medical University Union Hospital from May 2020 to October 2021 were enrolled in this study. Data for preoperative and postoperative test indices, postoperative complications, perioperative treatment were collected. After using 1:1 propensity score matching (PSM) to match two cohort (caliper = 0.1), the relationship between various factors and the incidence of AMPCL were analyzed. Results 209 patients were included for further analysis in the end. There were 95 patients in the sternocleidomastoid muscle flap embedding group (intervention group) and 114 in the routine operation group (control group). There was a significant difference in mean age between two groups. Gender, age, body mass index, diabetes, American society of anesthesiologists score, preoperative neoadjuvant therapy, pathological stage were included in performing 1:1 PSM, and there were no significant differences between two groups. Median operative time was significantly less in intervention group. Anastomotic leak (AL) did not present significant difference between two groups (8 [8.6] vs. 13 [14.0], p = 0.247), however, the AMPCL in intervention group was significantly lower than control group (0 [0] vs. 6 [6.5], p = 0.029). Conclusions The sternocleidomastoid muscle flap embedding could significantly reduce the incidence of AMPCL. This additional procedure is safe, and effective without increase in the occurrence of postoperative complications and hospital expenses.
更多
查看译文
关键词
Anastomotic leak,Anastomotic mediastinal/pleural cavity leak,Esophagectomy,Complication,Esophageal cancer
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