Clinical Factors Contributing to Anastomotic Leak After Mid-to-High Colorectal Anastomosis.

BACKGROUND: Low colorectal anastomoses carry a high anastomotic leak (AL) rate (up to 20%) and thus are commonly diverted. Much less is known about mid-to-high colorectal anastomosis, which carries a leak rate of 2-4%. The objective of this study was to determine our AL rate after mid-to-high colorectal anastomosis and associated risk factors. METHODS: A single center retrospective cohort study of patients undergoing left colonic resections with mid-to-high colorectal anastomosis (≥7 cm from the anal verge) from January 2008 to October 2017 was utilized. Main outcome, AL, defined as clinical suspicion supported by radiological or intraoperative findings, was calculated and risk factors assessed using multivariable logistic regression analysis. RESULTS: 977 patients were included; 487 (49.9%) were male, with a mean age of 59.8 (+/-12.1) years. Mean BMI was 27.5 (+/-5.5) kg/m2. Diverticular disease (67.5%), malignancy (17.4%), and inflammatory bowel disease (2.2%) were the main indications for resection. Mean length of stay was 6.7 (+/-4.5) days. 455 (46.8%) colonic resections were performed by laparoscopy, 283 (29.1%) by hand assisted surgery, 219 (22.5%) by laparotomy, and 16 (1.6%) by robotics. Majority of patients had complete donuts (99.6%) and a negative air leak test (97.7%). 149 patients (15.3%) underwent construction of a diverting stoma. The overall AL rate was 2.1% (n = 20). Increased BMI (>30 kg/m2), P = .02, was an independent risk factor for AL and a trend observed for positive air leak tests (P = .05), with other factors failing to achieve statistical significance. CONCLUSIONS: Patients with mid-to-high colorectal anastomosis have a 2% AL risk. Increased BMI was a risk factor for AL.

Preoperative early warning scores can predict in-hospital mortality and critical care admission following emergency surgery.

BACKGROUND: EWS is frequently used to monitor acute admissions requiring emergency surgery. This study examined preoperative early warning scoring (EWS) and its ability to predict mortality and critical care admission. Postoperative EWS was also evaluated as a predictor of mortality. METHODS: Preoperative EWS, age, physiologic and operative severity (POSSUM) scores, ASA grade, and serology were compared in 280 patients undergoing emergency surgery. RESULTS: Two hundred eighty patients were identified with a mortality of 15%. Among the physiological scoring systems, ASA grade and POSSUM scores were the best predictors of mortality (AUC values of 0.81). EWS, APACHE II, and age were the next best predictors (AUC values of 0.70). Postoperative APACHE II and EWS both predicted mortality. EWS on day 2 postoperatively was the best overall predictor of mortality of all the variables studied (AUC value of 0.83). Survival between patients with "improving or stable" EWS and those with "deteriorating or failing to improve" EWS was also found to be significantly different (P < 0.001). In addition, both EWS on admission and EWS 1 h preoperatively were found to predict critical care requirement postoperatively (AUC value of 0.78). CONCLUSIONS: EWS can predict the need for critical care admission and mortality following emergency surgery. In particular, the progression of EWS preoperatively, that is, whether scores improve or deteriorate, is a highly significant factor in predicting survival following emergency surgery. These findings support the use of EWS in monitoring the acute surgical patient.