MARIA MANUELA FERREIRA ALVES DE ALMEIDA
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Câncer do Estado de São Paulo, Hospital das Clínicas, Faculdade de Medicina
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina
LIM/24 - Laboratório de Oncologia Experimental, Hospital das Clínicas, Faculdade de Medicina
2 resultados
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- Applied nutritional investigation Effect of age on resting energy expenditure in patients with cancer(2022) SOUZA, Micheline Tereza Pires de; OZORIO, Gislaine Aparecida; OLIVEIRA, Giovanna Nunes de; LOPEZ, Rossana Veronica Mendoza; ALVES-ALMEIDA, Maria Manuela Ferreira; KULCSAR, Marco Aurelio Vamondes; RIBEIRO JR., Ulysses; SINGER, Pierre; WAITZBERG, Dan L.Objective: Because older patients with cancer are at high risk for developing malnutrition, it is critical to understand their energy needs and to feed them appropriately. The aim of this study was to determine whether there are differences in resting energy expenditure between younger and older adults with cancer and in various age groups of older patients. Methods: This retrospective, observational, and descriptive study from a single center included adult ( 60 y) and older ( 0.001). The REE of older patients (1263.3 [234.1] kcal/d) was lower than that of patients 60 y, an REE greater than those for individuals 60 to 69 y, 70 to 79 y, and 0.001). REE in patients 60 to 69 y was greater than for those 0.001). When compared with the Harris-Benedict formula, the REE intraclass correlation coefficient for all older patients was 0.514 (95% confidence interval [CI], 0.064-0.736); for ages 60 to 69 y it was 0.527 (95% CI, 0.126-0.733), and for ages 70 y, it was 0.466 (95% CI,-0.080 to-0.756). Conclusion: Measured REE in patients with cancer decreases with age. This finding is critical for appropriate caloric provision for older patients with cancer. ?? 2022 Elsevier Inc. All rights reserved.
- Exploring the use of the GLIM criteria to diagnose malnutrition in cancer inpatients(2023) OZORIO, Gislaine Aparecida; RIBEIRO, Lia Mara Kauchi; SANTOS, Barbara Chaves; BRUZACA, Wannia Ferreira de Sousa; ROCHA, Gabriela Del Gallo Vieira da; MARCHI, Luani Maria da Fonseca; SANTOS, Fernando Magri; ALMEIDA, Maria Manuela Ferreira Alves de; KULCSAR, Marco Aurelio Vamondes; RIBEIRO, Ulysses; CORREIA, Maria Isabel Toulson Davisson; WAITZBERG, Dan LinetzkyObjectives: The Global Leadership Initiative on Malnutrition (GLIM) criteria establish a diagnosis of malnutrition based on the presence of at least one phenotypic and one etiologic criterion. This study aimed to assess the concurrent and predictive validity of the GLIM criteria in hospitalized cancer patients.Methods: This is an observational retrospective study, including 885 cancer patients, ages >18 y, admitted to a medical oncology inpatient unit between 2019 and 2020. All patients at risk for malnutrition according to the Nutritional Risk Screening 2002 score were assessed by the subjective global assessment (SGA) and 14 different combinations of the GLIM criteria. The SGA was considered the gold standard for assessing the con-current validity of the GLIM combinations. For a subsample of patients with data available on inflammatory markers (n = 198), the serum albumin and C-reactive protein were included in the combinations as etiologic criteria. The predictive validity of the different combinations was tested using the occurrence of surgical complications as the clinical outcome. The sensitivity and specificity values were calculated to assess the con-current validity, univariate and multivariate logistic regression models were used to test predictive validity. Adequate concurrent and predictive validity were determined as sensitivity and specificity values >80% and odds ratio values >2.0, respectively.Results: The median age of the patients was 61.0 y (interquartile range = 51.0-70.0). Head and neck cancer was the prevailing diagnosis and 375 patients were at nutritional risk. According to the SGA, 173 (26.1%) patients were malnourished (SGA categories B or C) and the prevalence of malnutrition ranged from 3.9% to 30.0%, according to the GLIM combinations. None of the tested combinations reached adequate concurrent validity; however, the presence of malnutrition according to four combinations independently predicted surgical complications.Conclusions: The predictive validity of the GLIM was satisfactory in surgical cancer patients.