Predicting the Risk of Morbidity by GLIM-Based Nutritional Assessment and Body Composition Analysis in Oncologic Abdominal Surgery in the Context of Enhanced Recovery Programs

Marta Sandini; Luca Gianotti; Salvatore Paiella; Davide Paolo Bernasconi; Linda Roccamatisi; Simone Famularo; Matteo Donadon; G Lucca; Marco Cereda; Giacomo Calini; Giovanni Capretti; Gennaro Nappo; Amanda Casirati; Marco Braga; Alessandro Zerbi; Guido Torzilli; Claudio Bassi; Roberto Salvia; Emanuele Cereda; Riccardo Caccialanza

doi:10.1245/s10434-024-15143-w

Abstract

Preoperative nutritional status and body structure affect short-term prognosis in patients undergoing major oncologic surgery. Bioimpedance vectorial analysis (BIVA) is a reliable tool to assess body composition. Low BIVA-derived phase angle (PA) indicates a decline of cell membrane integrity and function. The aim was to study the association between perioperative PA variations and postoperative morbidity following major oncologic upper-GI surgery.

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Sandini et al. (2024) studied this question.

synapsesocial.com/papers/68e72a70b6db6435876a4586 https://doi.org/10.1245/s10434-024-15143-w

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Predicting the Risk of Morbidity by GLIM-Based Nutritional Assessment and Body Composition Analysis in Oncologic Abdominal Surgery in the Context of Enhanced Recovery Programs

Abstract

Discussion

Cite This Study

Predicting the Risk of Morbidity by GLIM-Based Nutritional Assessment and Body Composition Analysis in Oncologic Abdominal Surgery in the Context of Enhanced Recovery Programs

Abstract

Discussion

Cite This Study

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