Skip to main navigation Skip to search Skip to main content

Factores pronóstico de desnutrición a partir de la valoración global subjetiva generada por el paciente (VGS-GP) en pacientes con cáncer de cabeza y cuello

Translated title of the contribution: Predict factors associated with malnutrition from patient generated subjective global assessment (PG-SGA) in head and neck cancer patients
  • L. Arribas
  • , L. Hurtós
  • , R. Milà
  • , E. Fort
  • , I. Peiró

Research output: Indexed journal article Articlepeer-review

22 Citations (Scopus)

Abstract

Introduction: Patient Generated Subjective Global Assessment (PG-SGA) is a validated tool for nutrition evaluation in patients with cancer. Aim: The aim of our study was to estimate the prevalence of malnutrition in head and neck cancer patients at diagnosis and evaluate the independent prognostic factors for malnutrition from PG-SGA. Material and methods: All outpatients attending at the Head and Neck Cancer Multidisciplinary Meeting for primary diagnosis, staging and treatment were evaluated by an oncology dietitian using the patient generated subjective global assessment (PG-SGA). Patients with recurrences or secondary tumours will be excluded. Results: 64 patients were evaluated (55 men and 9 women) with an average age of 63 years and body mass index (BMI) of 25.3 kg/m2 (SD ± 5.18). After the nutritional assessment we observed that 43.8% of patients were malnourished or at risk of malnutrition. The most frequent symptom at diagnosis was dysphagia (48.4%) and anorexia (26.6%). From PG-SGA, the main prognostic factors (p<0,001) were the percentage of weight loss, serum albumin levels, BMI and the presence of dysphagia or/and anorexia prior diagnosis. Conclusions: Parameters as BMI, weight loss and low albumin levels at the time of diagnosis in head and neck cancer patients are independent predictors for malnutrition as well as the presence of anorexia or dysphagia.

Translated title of the contributionPredict factors associated with malnutrition from patient generated subjective global assessment (PG-SGA) in head and neck cancer patients
Original languageSpanish
Pages (from-to)155-163
Number of pages9
JournalNutricion Hospitalaria
Volume28
Issue number1
DOIs
Publication statusPublished - 2013
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  2. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Predict factors associated with malnutrition from patient generated subjective global assessment (PG-SGA) in head and neck cancer patients'. Together they form a unique fingerprint.

Cite this