Association between specific presurgical anthropometric indexes and morbidity in patients undergoing rectal cancer resection.

OBJECTIVES

Baseline body composition has been associated with dismal outcomes in patients undergoing a variety of major abdominal operations. Whether specific anthropometric indexes can predict morbidity after rectal resection has been poorly investigated. The aims of this study were to assess whether there is a relationship between body mass index and the different computed tomography-assessed body composition indexes, and whether the analysis of different body compartments could be predictive of short-term outcomes in patients undergoing curative surgery for rectal cancer.

METHODS

Computed tomography-derived measures of skeletal muscle and adipose tissue areas of patients undergoing surgery for rectal cancer between January 2009 and December 2016 were used to calculate population-specific thresholds of sarcopenia, subcutaneous adiposity, visceral adiposity, visceral obesity, sarcopenic obesity, and myosteatosis. Association between the aforementioned body composition features were related with overall complication, infection, and anastomotic leak.

RESULTS

During the study period, 311 patients received surgery and 173 were eligible for an accessible preoperative computed tomography imaging. After surgery, 59 (34.1%) patients experienced a complication, 29 an infection, and 10 an anastomotic failure. The overall morbidity rate was observed more frequently in patients with sarcopenia than in those without sarcopenia (39% versus 17.5%; P = 0.002) and infections (41.4% versus 21.5% respectively; P = 0.024). The presence of myosteatosis also was associated with a higher incidence of overall morbidity (33.9% versus 20.2% in patients without myoteatosis; P = 0.048). Anastomotic failure occurred in 6 of 10 patients with visceral obesity and in 24 of 112 (21.4%) patients without this condition (P = 0.007).

CONCLUSIONS

Some anthropometric indexes are accurate predictors of specific types of morbidity. These findings may allow a more accurate preoperative risk stratification.