NATALIA VIEIRA MAGALHAES

Índice h a partir de 2011
1
Projetos de Pesquisa
Unidades Organizacionais
LIM/35 - Laboratório de Nutrição e Cirurgia Metabólica do Aparelho Digestivo, Hospital das Clínicas, Faculdade de Medicina

Resultados de Busca

Agora exibindo 1 - 2 de 2
  • article 1 Citação(ões) na Scopus
    High Prevalence of Energy and Nutrients Inadequacy among Brazilian Older Adults
    (2023) MAGALHAES, Natalia Vieira; WAITZBERG, Dan Linetzky; LOPES, Natalia Correia; VICEDOMINI, Ana Carolina Costa; PRUDENCIO, Ana Paula Aguiar; JACOB-FILHO, Wilson; BUSSE, Alexandre Leopold; FERDINANDO, Douglas; ALVES, Tatiana Pereira; PEREIRA, Rosa Maria Rodrigues; TORRINHAS, Raquel Susana; BELARMINO, Giliane
    Poor nutrition increases the risk of diseases and adverse health outcomes in older adults. We evaluated the potential inadequacy of nutrient intake among older adults in Brazil and its association with body anthropometry and composition outcomes. Dietary intake was obtained from 295 community-living older adults (>60 years old), of both genders, using a seven-day food record. Nutrient inadequacy was further identified based on the Dietary Reference Intakes and European Guidelines. Skeletal muscle mass (SM), strength and performance, and the diagnosis of sarcopenia were assessed using reference methods. Nutritional inadequacy was high, with energy, dietary fiber, and six micronutrients exhibiting the greatest inadequacy levels (>80%). Energy intake was correlated with SM strength (p = 0.000) and performance (p = 0.001). Inadequate energy, fiber, and protein intakes influenced BMI, while inadequate intake of vitamin B6 directly affected the diagnosis of sarcopenia (p & LE; 0.005). Further research is required to investigate whether these inadequacies can be associated with other clinical health outcomes.
  • article 3 Citação(ões) na Scopus
    New anthropometric and biochemical models for estimating appendicular skeletal muscle mass in male patients with cirrhosis
    (2021) BELARMINO, Giliane; TORRINHAS, Raquel Susana; V, Natalia Magalhaes; HEYMSFIELD, Steven B.; WAITZBERG, Dan L.
    Objectives: The use of easily accessible methods to estimate skeletal muscle mass (SMM) in patients with cirrhosis is often limited by the presence of edema and ascites, precluding a reliable diagnosis of sarcopenia. The aim of this study was to design predictive models using variables derived from anthropometric and/or biochemical measures to estimate SMM; and to validate their applicability in diagnosing sarcopenia in patients with cirrhosis. Methods: Anthropometric and biochemical data were obtained from 124 male patients (18-76 y of age) with cirrhosis who also underwent dual-energy x-ray absorptiometry (DXA) and handgrip strength (HGS) assessments to identify low SMM and diagnose sarcopenia using reference cutoff values. Univariate analyses for variable selection were applied to generate predictive decision tree models for low SMM. Model accuracy for the prediction of low SMM and sarcopenia (when associated with HGS) was tested by comparison with reference cutoff values (appendicular SMM index, obtained by DXA) and clinical sarcopenia diagnoses. The prognostic value of the models for the prediction of sarcopenia and mortality at 104 wk of follow up was further tested using Kaplan-Meier graphics and Cox models. Results: The models with anthropometric variables, alone and combined with biochemical variables, showed good accuracy (0.89 [0.83; 0.94] and 0.90 [0.84; 0.95], respectively) and sensitivity (0.72 [0.56; 0.85] and 0.74 [0.59; 0.86], respectively) and excellent specificity (0.96 [0.90; 0.99] and 0.97 [0.92; 0.99], respectively) in predicting SMM. Both models showed excellent accuracy (0.94 [0.89; 0.98], good sensitivity (0.68 [0.45; 0.86]), and excellent specificity (1.00 [0.96; 1.00]) in predicting sarcopenia. The models predicted mortality in patients with sarcopenia, with the likelihood of death sixfold greater relative to patients not predicted to have sarcopenia. Conclusions: Our simple and inexpensive models provided a practical and safe approach to diagnosing sarcopenia patients with cirrhosis along with an estimate of their mortality risk when other reference methods are unavailable.