Posters
« Back
RESTING ENERGY EXPENDITURE AND BODY COMPOSITION IN PATIENTS WITH HEAD AND NECK CANCER: AN OBSERVATIONAL STUDY LEADING TO A NEW PREDICTIVE EQUATION
EP29070
Poster Title: RESTING ENERGY EXPENDITURE AND BODY COMPOSITION IN PATIENTS WITH HEAD AND NECK CANCER: AN OBSERVATIONAL STUDY LEADING TO A NEW PREDICTIVE EQUATION
Submitted on 30 Aug 2018
Author(s): Micheline Tereza Pires, Gislaine Aparecida Ozorio, Marco Aurélio Vamondes Kulcsar, Maria Manuela Ferreira Alves de Almeida, Pierre Singer
Affiliations: ICESP - Instituto do Câncer do Estado de São Paulo
This poster was presented at 20º Fórum Paulista de Pesquisa em Nutrição Clínica e Experimental - Ganepão 2018
Poster Views: 726
View poster »


Poster Information
Abstract: Introdução: Patients with head and neck cancer(CCP) have changes in body composition(CC) and resting energy expenditure(REE) related to significant inflammatory processes. Most REE prediction guidelines are based on predictive equations causing estimation error.
Objetivos: The objective of this study was to evaluate REE and body composition in a large population of patients with head and neck cancer, comparing measured energy expenditure with predicted and deriving an equation of anthropometric values and body composition data.
Materiais e Métodos: This retrospective, observational and descriptive study of a single center included patients with CCP. We evaluated nutritional status by body mass index (BMI) and Patient-Generated Subjective Global Assessment (PG-SGA) and body composition by electric bioimpedance (Bodystat® and Quadscan 4000 multifrequential electric bioimpedance apparatus) and REE by indirect calorimetry (IC) (Quark-RMR®). The exclusion criteria were: age
Resultados: A total of 140 patients were included, more males (80.7%), elderly (58.6%), and advanced (77.9%). Most were malnourished by the BMI (77.9%) and severely malnourished by the PG-SGA (49.3%), with a fat-free mass below the ideal values (82.9%) associated with sarcopenia (92.1%). Hypermetabolism was 57%. When comparing REE with the Harris-Benedict (HB) formula, we find the agreement limits (LA) from -546,613 to 240,708, the mean difference (DM) was -152,953 (CI -185,844 to -120,062) and Pitman's variance test (TVP) was r = -0.294 (p = .001). When we included the activity factor and the thermogenesis factor in REE and compared with HB, we found the LAs from -764.423 to 337.087, DM: -213.668 (CI -259.684 to -167.652), and DVT: r = -0.292 (p = .001).
Conclusão: In patients suffering from advanced head and neck cancer, predictive equations such as Harris Benedict, generally recommended by guidelines, are inaccurate when compared to indirect calorimetry measurements. Therefore, we derive a new predictive equation, this equation must be validated.
Palavras-chaves: Resting energy expenditure, Harris-Benedict, Head and neck cancer, Indirect calorimetry, Predictive equations
Summary: Predictive equations such as Harris Benedict, generally recommended by guidelines, are inaccurate when compared to indirect calorimetry measurementsReport abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


PK/PD Modeling
AI & Medicine

SAR analysis
AI & Medicine

Myth and Facts about Pediatric eye health
Salal Mohammad

Aligners- The Science of Clear Orthodontics
Dr.Sunegha Kundal

Applications of fiber reinforcement composite in fixed dental prosthesis
omar kamal, supervisor assoc.prof dr. Sevcan kurtulmus yilmaz