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Proposal of a nutrition screening algorithm for patients with incurable cancer receiving palliative care: Data from a prospective cohort.
Rosa, Karla Santos da Costa; Wiegert, Emanuelly Varea Maria; Oliveira, Livia Costa de.
Afiliação
  • Rosa KSDC; Nutrition and Dietetic Service, National Cancer Institute José Alencar Gomes da Silva, Palliative Care Unit, Rio de Janeiro, Brazil.
  • Wiegert EVM; Nutrition and Dietetic Service, National Cancer Institute José Alencar Gomes da Silva, Palliative Care Unit, Rio de Janeiro, Brazil.
  • Oliveira LC; Nutrition and Dietetic Service, National Cancer Institute José Alencar Gomes da Silva, Palliative Care Unit, Rio de Janeiro, Brazil.
Nutr Clin Pract ; 39(2): 485-499, 2024 Apr.
Article em En | MEDLINE | ID: mdl-36809536
OBJECTIVE: To propose and evaluate the clinical utility of a new nutrition screening algorithm, NutriPal, to detect the degree of nutritional risk in patients with incurable cancer receiving palliative care. METHODS: It is a prospective cohort conducted in an oncology palliative care unit. The NutriPal algorithm was used in a three-step process: (i) administration of the Patient-Generated Subjective Global Assessment short form; (ii) calculation of the Glasgow Prognostic Score; and (iii) application of the algorithm to classify patients into four degrees of nutritional risk. The higher the degrees of NutriPal, the worse the nutritional risk, comparing nutritional measures, laboratory data, and overall survival (OS). RESULTS: The study included 451 patients that were classified using the NutriPal. They were allocated to the degrees: 1 (31.26%), 2 (27.49%), 3 (21.73%), and 4 (19.71%). Statistically significant differences were found in most of the nutritional and laboratory parameters and in OS with each increment in the NutriPal degrees, and OS was reduced (log-rank <0.001). In addition, NutriPal was able to predict a 120-day mortality: there was a significantly higher risk of death in the patients classified as degrees 4 (hazard ratio [HR], 3.03; 95% confidence interval [95% CI], 2.18-4.19), 3 (HR, 2.01; 95% CI, 1.46-2.78), and 2 (HR, 1.42; 95% CI; 1.04-1.95) than in those classified as degree 1. It also showed good predictive accuracy (concordance statistic, 0.76). CONCLUSION: The NutriPal is associated to nutritional and laboratory parameters and can predict survival. It could therefore be incorporated into clinical practice for patients with incurable cancer receiving palliative care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cuidados Paliativos / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Nutr Clin Pract Assunto da revista: CIENCIAS DA NUTRICAO / ENFERMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cuidados Paliativos / Neoplasias Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Nutr Clin Pract Assunto da revista: CIENCIAS DA NUTRICAO / ENFERMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos