关键词: 改良结肠渗漏评分, 左结肠直肠手术, 吻合口漏, 预测价值

Abstract: Objective To explore the predictive value of modified colonic leakage score for anastomotic leakage in patients undergoing left colorectal surgery. Methods Prospectively selected 150 patients who underwent left colorectal surgery in our hospital from January 2016 to December 2020 as the research objects.All patients underwent left colorectal surgery and postoperative anastomosis.Patients were collected before and after surgery.Intraoperative and postoperative clinical data,a follow-up of 30 days after operation,150 cases of 5 patients were lost to follow-up due to different reasons,the loss to follow-up rate was 3.33%,and a total of 145 patients completed the follow-up.Among them,17 patients had anastomotic leakage,which was the occurrence group.The difference in the improved colon leakage score between the two groups was compared,and the improved colon leakage score prediction model was established to analyze the predictive performance of the prediction model. Results 145 patients with left colorectal surgery had a modified colonic leakage score ranging from 1 to 20 points,with an average of ( 9.54 ±2.89) points,of which the incidence group score was 10-20 points,with an average of (14.78±3.45) points;the non-occurring group The scores were 1-14 points,with an average of (7.89±2.01) points;the modified colonic leakage score of the occurrence group was higher than that of the non-occurring group(P＜0.05).ROC curve analysis showed that the modified colonic leakage score predicted the AUC of the risk of anastomotic leakage in patients undergoing left colorectal surgery was 0.967. Conclusion The modified colonic leakage score prediction model has a high efficiency in predicting the risk of anastomotic leakage in patients undergoing left colorectal surgery,and is an effective tool for predicting the occurrence of anastomotic leakage in patients undergoing left colorectal surgery.

Key words: modified colonic leakage score, left colorectal surgery, anastomotic leakage, predictive value