Acuracy and concordance of anthropometric indicators and body composition in heart failure

• Autor(a) principal: Lyra, Clélia de Oliveira
• Data de Publicação: 2018
• Outros Autores: Rocha, Daniela de Oliveira, Dantas, Raquel Costa Silva, Andrade, Fernanda Lambert de, Avelino, Regina Ranielly dos Santos, Diniz, Rosiane Viana Zuza, Lira, Niethia Regina Dantas de, Evangelista, Karine Cavalcanti Mauricio Sena
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/handle/123456789/57956; http://dx.doi.org/10.5935/2359-4802.20180093
• topic: Heart failure; Nutrition assessment; Anthropometry; Body composition; Cachexia

Background: Anabolic/catabolic disorder in heart failure (HF) favors cardiac cachexia, implying a reduction in HF survival. Objectives: To assess the accuracy and concordance of the diagnosis of protein malnutrition and excess fat among the anthropometric and body composition methods in individuals with HF. Method: A study of accuracy that included 60 individuals with HF. Body mass index (BMI), arm circumference (AC), triceps skinfold thickness (TST), adductor pollicis muscle thickness (APMT), arm muscle circumference (AMC) and corrected arm muscle area (cAMA). Fat free mass index (FFMI) and body fat percentage (BF%), obtained by electrical bioimpedance (EBI), were used to compare the diagnosis of protein malnutrition and excess fat. Accuracy was assessed by calculating sensitivity, specificity, positive and negative predictive value. The concordance of the EBI diagnosis and other methods was performed by the chi-square test and kappa (k) statistic, where p<0.05 was considered significant. Results: Higher frequencies of protein malnutrition were identified by cAMA and AMC, and excess fat by BF%. BMI presented low sensitivity (43%) and accuracy (38.5%), with moderate concordance (0.50). AMC sensitivity was 86%, accuracy 66.4%, and acceptable concordance (0.36) compared to FFMI. Similar percentages of moderate sensitivity and low accuracy were observed for TST and BMI. Conclusion: AMC may be useful to identify protein malnutrition and TST has not been adequate to diagnose adiposity. BMI was not sensitive to assess muscle and adipose reserve. EBI was more accurate. (Int J Cardiovasc Sci. 2019;32(2)143-151)