Myosteatotic and sarcopenic obesity impact postoperative outcomes more robustly than visceral obesity in general surgery patients, with differences by sex.

BACKGROUND AND AIMS

Computed tomography (CT) defined myosteatotic, sarcopenic, and visceral obesity are associated with adverse surgical outcomes and mortality in patients with malignancies. These occult conditions may also be widely prevalent in today's general surgery patients who tend to be overweight/obese. This study identified the predominant obesity phenotypes in 906 patients aged 18-85 years who were scheduled for laparoscopic resection for benign abdominal or colorectal disease at Vanderbilt University Medical Center between 2010 and 2017.

METHODS

Sex and body mass index (BMI) specific cut-points were used to identify myosteatotic, sarcopenic, and visceral obesity phenotype from abdominal CT scan morphometrics. Multivariable regression modeling determined relationships between sex, obesity phenotype, and postoperative outcomes.

RESULTS

The myosteatostic + sarcopenic obesity phenotype associated with longer surgery duration and increased the likelihood for major complication (OR 1.34, 95%CI 1.01-1.74) and ICU admission (OR 1.39, 95%CI 1.04-1.90). Having myosteatotic obesity doubled the likelihood for hospital stay >7 days and discharge to a nursing home (OR 2.11, 95%CI 1.43,3.11), increasing the likelihood for readmission within 90 days. Obesity was more prevalent in females, but myosteatotic, sarcopenic, and visceral obesity were more prevalent in males, regardless of age or BMI. Males had more major complications (23.6% vs 17.7%, P = 0.03), particularly wound dehiscence or infection, and a 2-day longer hospital stay.

CONCLUSIONS

This study shows that sarcopenic and myosteatotic obesity phenotypes are highly prevalent, especially in male general surgery patients, regardless of age or BMI. Importantly, sarcopenic and myosteatostic obesity may be more detrimental than visceral obesity; these phenotypes robustly associated with adverse postoperative outcomes. Future work could use these findings for design of phenotype-specific interventions to reduce patient risk and prevent outcomes that are harmful and costly.