Browsing by Author "Deftereos, I"

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Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: A retrospective observational study.
Kiss, N ; Steer, B. ; Schueren, M. de van der ; Loeliger, J ; Alizadehsani, R. ; Edbrooke, L. ; Deftereos, I ; Laing, E. ; Khosravi, A.
2022, Article / Letter to editor (Clinical Nutrition, vol. 41, iss. 5, (2022), pp. 1102-1111)BACKGROUND & AIMS: The Global Leadership Initiative on Malnutrition (GLIM) criteria require validation in various clinical populations. This study determined the prevalence of malnutrition in people with cancer using all possible diagnostic combinations of GLIM etiologic and phenotypic criteria and determined the combinations that best predicted mortality and unplanned hospital admission within 30 days. METHODS: The GLIM criteria were applied, in a cohort of participants from two cancer malnutrition point prevalence studies (N = 2801), using 21 combinations of the phenotypic (≥5% unintentional weight loss, body mass index [BMI], subjective assessment of muscle stores [from PG-SGA]) and etiologic (reduced food intake, inflammation [using metastatic disease as a proxy]) criteria. Machine learning approaches were applied to predict 30-day mortality and unplanned admission. RESULTS: We analysed 2492 participants after excluding those with missing data. Overall, 19% (n = 485) of participants were malnourished. The most common GLIM combinations were weight loss and reduced food intake (15%, n = 376), and low muscle mass and reduced food intake (12%, n = 298). Machine learning models demonstrated malnutrition diagnosis by weight loss and reduced muscle mass plus either reduced food intake or inflammation were the most important combinations to predict mortality at 30-days (accuracy 88%). Malnutrition diagnosis by weight loss or reduced muscle mass plus reduced food intake was most important for predicting unplanned admission within 30-days (accuracy 77%). CONCLUSIONS: Machine learning demonstrated that the phenotypic criteria of weight loss and reduced muscle mass combined with either etiologic criteria were important for predicting mortality. In contrast, the etiologic criteria of reduced food intake in combination with weight loss or reduced muscle mass was important for predicting unplanned admission. Understanding the phenotypic and etiologic criteria contributing to the GLIM diagnosis is important in clinical practice to identify people with cancer at higher risk of adverse outcomes.
Clinical Oncology Society of Australia: Position statement oncancer-relatedmalnutrition and sarcopenia
Kiss, N ; Loeliger, J ; Findlay, M ; Isenring, EA ; Baguley, BJ ; Boltong, A ; Butler, A ; Deftereos, I ; Eisenhuth, M ; Fraser, SF ; Fichera, R ; Griffin, H ; Hayes, S ; Jeffery, E ; Johnson, C ; Lomma, C ; Meij, B.S. van der ; McIntyre, C ; Nicholls, T ; Pugliano, L ; Skinner, T ; Stewart, J ; Bauer, J. et al. sine al.
2020, Article / Letter to editor (Nutrition & Dietetics: Journal of Dietitians Australia, vol. 77, iss. 4, (2020), pp. 416-425)This position statement describes the recommendations of the Clinical Oncology Society of Australia (COSA) regarding management of cancer-related malnutrition and sarcopenia. A multidisciplinary working group completed a review of the literature, focused on evidence-based guidelines, systematic reviews and meta-analyses, to develop recommendations for the position statement. National consultation of the position statement content was undertaken through COSA members. All people with cancer should be screened for malnutrition and sarcopenia in all health settings at diagnosis and as the clinical situation changes throughout treatment and recovery. People identified as "at risk" of malnutrition or with a high-risk cancer diagnosis or treatment plan should have a comprehensive nutrition assessment; people identified as "at risk" of sarcopenia should have a comprehensive evaluation of muscle status using a combination of assessments for muscle mass, muscle strength and function. All people with cancer-related malnutrition and sarcopenia should have access to the core components of treatment, including medical nutrition therapy, targeted exercise prescription and physical and psychological symptom management. Treatment for cancer-related malnutrition and sarcopenia should be individualised, in collaboration with the multidisciplinary team (MDT), and tailored to meet needs at each stage of cancer treatment. Health services should ensure a broad range of health care professionals across the MDT have the skills and confidence to recognise malnutrition and sarcopenia to facilitate timely referrals and treatment. The position statement is expected to provide guidance at a national level to improve the multidisciplinary management of cancer-related malnutrition and sarcopenia.

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