Introduction Considering the high morbimortality rate in oncologic surgeries of the gastrointestinal tract, especially in patients with malnutrition, the use of predictive tools is necessary, since preoperative strategies could improve postoperative outcomes. Objectives To evaluate body composition by computed tomography and its association with morbimortality post esophagectomy and total gastrectomy. Methods Prospective cohort study (n = 80). Sociodemographic, diagnostic, treatment and postoperative data were collected. Anthropometric and biochemical (hemoglobin, transferrin, and albumin) data were evaluated. The muscle mass was calculated through two methods, the muscle mass index (MMI) and the psoas total area (PTA). For postoperative complications classification, the Clavien‐Dindo scale was used. Results The prevalence of muscle depletion found was 33.8% by MMI and 61% by PTA (poor agreement, kappa = 0.25). Complication rates were 18.5% in gastrectomies and 50% in esophagectomies. No statistically significant difference was found between the presence of muscle depletion and complications. However, when stratified by surgery, a borderline association was found between the MMI and post esophagectomies complications (P = .05). Conclusion Despite the high prevalence of muscle loss, it was not possible to correlate it with surgical outcomes for gastrectomies, but for esophagectomies, there may be relevance due to borderline association, although patients received nutritional therapy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.