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A Qualitative Study Supporting Optimal Nutrition in Advanced Liver Disease—Unlocking the Potential for Improvement

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posted on 2025-05-11, 21:45 authored by Shaye Ludlow, Katherine Farragher, Kelly SquiresKelly Squires, Susan HeaneySusan Heaney, Jessica Orman, Sarah Pullen, John AttiaJohn Attia, Katie-Jane WynneKatie-Jane Wynne
Malnutrition rates in Advanced Liver Disease (ALD) are significantly higher than those in well-compensated liver disease. In addition to its physiological impact, malnutrition is detrimental for quality of life and social, emotional, and psychological well-being. Studies within oncology and renal supportive care have identified the influence of non-physiological factors on malnutrition risk. Integrating similar factors into malnutrition screening for ALD could improve identification of at-risk patients to optimize treatment planning. This qualitative study aimed to understand the holistic factors influencing nutritional status in the ALD population. Semi-structured interviews with 21 patients, carers, and clinicians explored the experiences of malnutrition in ALD. Thematic analysis revealed five key themes: (i) appropriateness of healthcare delivery; (ii) health- and food-related factors; (iii) high symptom burden, (iv) social support impacting well-being, and (v) physical and structural supports. Current screening methods do not adequately capture all potential drivers of malnutrition in the ALD population. Adopting a more supportive approach including both physiological and non-physiological factors in ALD malnutrition screening may promote more timely and comprehensive nutritional interventions that address the complex and holistic needs of patients living with ALD.

History

Journal title

Nutrients

Volume

16

Issue

15

Article number

2403

Publisher

MDPI AG

Language

  • en, English

College/Research Centre

College of Health, Medicine and Wellbeing

School

School of Medicine and Public Health

Rights statement

© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

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