Abstract

Complications following colorectal cancer resection are common. The degree of aortic calcification (AC) on CT has been proposed as a predictor of complications, particularly anastomotic leak. This study assessed the relationship between AC and complications in patients undergoing colorectal cancer resection. Patients from 2008 to 2016 were retrospectively identified from a prospectively maintained database. Complications were classified using the Clavien-Dindo (CD) scale. Calcification was quantified on preoperative CT by visual assessment of the number of calcified quadrants in the proximal and distal aorta. Scores were grouped into categories: none, minor (< median AC score) and major (> median AC score). The relationship between clinicopathological characteristics and complications was assessed using logistic regression. Of 657 patients, 52% had proximal AC (> median score (1)) and 75% had distal AC (> median score (4)). AC was more common in older patients and smokers. Higher burden of AC was associated with non-infective complications (proximal AC 28% vs 16%, p = 0.004, distal AC 26% vs 14% p = 0.001) but not infective complications (proximal AC 28% vs 29%, p = 0.821, distal AC 29% vs 23%, p = 0.240) or anastomotic leak (proximal AC 6% vs 4%, p = 0.334, distal AC 7% vs 3%, p = 0.077). Independent predictors of complications included open surgery (OR 1.99, 95%CI 1.43-2.79, p = 0.001), rectal resection (OR 1.51, 95%CI 1.07-2.12, p = 0.018) and smoking (OR 2.56, 95%CI 1.42-4.64, p = 0.002). These data suggest that high levels of AC are associated with non-infective complications after colorectal cancer surgery and not anastomotic leak. • Aortic calcification measured by visual quantification of the number of calcified quadrants at two aortic levels on preoperative CT is associated with clinical outcome following colorectal cancer surgery. • An increased burden of aortic calcification was associated with non-infective complications but not anastomotic leak. • Assessment of the degree of aortic calcification may help identify patients at risk of cardiorespiratory complications, improve preoperative risk stratification and assign preoperative strategies to improve fitness for surgery.

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