Body composition index obtained by using a bioelectrical impedance analysis device can be a predictor of prolonged operative time in patients undergoing minimally invasive colorectal surgery

• Published in: Annals of coloproctology Vol. 39; no. 4; pp. 342 - 350
• Main Authors: Kim, Ho Seung, Kim, Kwang Ho, Noh, Gyoung Tae, Lee, Ryung-Ah, Chung, Soon Sup
• Format: Journal Article
• Language: English
• Published: Korea (South) Korean Society of Coloproctology 01-08-2023
• Subjects: body fat distribution; body mass index; colorectal neoplasms; minimally invasive surgical procedures; operative time; Original; Body mass index; Body fat distribution; Operative time; Colorectal neoplasms; Minimally invasive surgical procedures
• ISSN: 2287-9714; 2287-9722
• DOI: 10.3393/ac.2022.00262.0037

Obesity has been known to contribute to technical difficulties in surgery. Until now, body mass index (BMI) has been used to measure obesity. However, there are reports that BMI does not always correspond to the visceral fat. Recently, bioelectrical impedance analysis (BIA) has been used for body composition analysis. This study aimed to evaluate the usefulness of the body composition index obtained using a BIA device in predicting short-term postoperative outcomes.
Data of patients who underwent elective major colorectal surgery using minimally invasive techniques were reviewed retrospectively. Body composition status was recorded using a commercial BIA device the day before surgery. The relationship between BMI, body composition index, and short-term postoperative outcomes, including operative time, was analyzed.
Sixty-six patients were enrolled in this study. In the correlation analysis, positive correlation was observed between BMI and body composition index. BMI and body composition index were not associated with short-term postoperative outcomes. Percent body fat (odds ratio, 4.226; 95% confidence interval [CI], 1.064-16.780; P=0.041) was found to be a statistically significant factor of prolonged operative time in the multivariate analysis. Correlation analysis showed that body fat mass was related to prolonged operative time (correlation coefficients, 0.245; P=0.048). In the area under curve analysis, body fat mass showed a statistically significant predictive probability for prolonged operative time (body fat mass: area, 0.662; 95% CI, 0.531-0.764; P=0.024).
The body composition index can be used as a predictive marker for prolonged operative time. Further studies are needed to determine its usefulness.