Literature DB >> 32359730

Mapping the frequency of malnutrition in patients with head and neck cancer using the GLIM Criteria for the Diagnosis of Malnutrition.

Sandra Einarsson1, Göran Laurell2, Ylva Tiblom Ehrsson3.   

Abstract

BACKGROUND & AIMS: Patients with head and neck cancer are defined as high-risk patients for malnutrition, but the inconsistent practice of diagnosing malnutrition is a barrier in comparing studies and in assessing patients in clinical practice. The aim of the study was to describe the frequency of malnutrition over time in patients treated for head and neck cancer using the GLIM Criteria for the Diagnosis of Malnutrition.
METHODS: Data from a prospective observational study on patients with head and neck cancer were used (n = 210). Patients were assessed for malnutrition using the combination of one phenotypic and one etiologic criterion. The following phenotypic criteria for malnutrition were used: body weight loss (either >5% within the past six months or >10% beyond six months), body mass index (<20 kg/m2 if <70 years or <22 kg/m2 if ≥70 years), and fat free mass index measured by bioelectrical impedance analysis (<17 FFM/m2 for males and <15 FFM/m2 for females). The following etiologic criteria for malnutrition were used: reduced food intake (partial or no food intake with the need for artificial nutrition) and C-reactive protein (>5 mg/L).
RESULTS: For all eight possible combinations of GLIM, the frequency of malnutrition reached its highest point at seven weeks after the start of treatment. A total of 32% of the patients fulfilled the criteria for malnutrition using weight loss >5% within the past six months (phenotypic) in combination with C-reactive protein >5 mg/L (etiologic).
CONCLUSIONS: GLIM Criteria for the Diagnosis of Malnutrition can be used to assess malnutrition in patients with head and neck cancer during treatment. Using the same criteria to define malnutrition in nutritional research will make it possible to produce multiple lines of evidence on malnutrition in head and neck cancer and its adverse effects on treatment, prognosis, and survival.
Copyright © 2020 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Body mass index; C-reactive protein; Malnutrition; Radiotherapy; Surgery; Weight loss

Year:  2020        PMID: 32359730     DOI: 10.1016/j.clnesp.2020.03.011

Source DB:  PubMed          Journal:  Clin Nutr ESPEN        ISSN: 2405-4577


  6 in total

1.  Nutritional status according to the mini nutritional assessment (MNA)® as potential prognostic factor for health and treatment outcomes in patients with cancer - a systematic review.

Authors:  G Torbahn; T Strauss; C C Sieber; E Kiesswetter; D Volkert
Journal:  BMC Cancer       Date:  2020-06-26       Impact factor: 4.430

2.  Mapping Health-Related Quality of Life, Anxiety, and Depression in Patients with Head and Neck Cancer Diagnosed with Malnutrition Defined by GLIM.

Authors:  Ylva Tiblom Ehrsson; Per Fransson; Sandra Einarsson
Journal:  Nutrients       Date:  2021-04-01       Impact factor: 5.717

3.  Effects of Immunonutrition in Head and Neck Cancer Patients Undergoing Cancer Treatment - A Systematic Review.

Authors:  Sing Ean Tan; Nur Fadhlina Abdul Satar; Hazreen Abdul Majid
Journal:  Front Nutr       Date:  2022-02-25

4.  [Pre-treatment dysphagia in head-and-neck cancer patients].

Authors:  Uta Lehner; Eugen Zaretsky; Almut Goeze; Laura Wermter; Boris A Stuck; Richard Birk; Andreas Neff; Ingo Fischer; Shahram Ghanaati; Robert Sader; Christiane Hey
Journal:  HNO       Date:  2022-02-04       Impact factor: 1.330

5.  Malnutrition Prevalence according to the GLIM Criteria in Head and Neck Cancer Patients Undergoing Cancer Treatment.

Authors:  Belinda Steer; Jenelle Loeliger; Lara Edbrooke; Irene Deftereos; Erin Laing; Nicole Kiss
Journal:  Nutrients       Date:  2020-11-13       Impact factor: 5.717

6.  GLIM-Defined Malnutrition in Patients with Head and Neck Cancer during the Qualification Visit for Home Enteral Nutrition.

Authors:  Zuzanna Przekop; Magdalena Milewska; Dorota Szostak-Węgierek; Mariusz Panczyk; Jacek Sobocki
Journal:  Nutrients       Date:  2022-01-24       Impact factor: 5.717

  6 in total

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