Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Glim-Diagnosed Malnutrition in Lung Transplant Candidates

Version 1 : Received: 2 January 2024 / Approved: 4 January 2024 / Online: 4 January 2024 (07:14:31 CET)

A peer-reviewed article of this Preprint also exists.

Calañas-Continente, A.; Gutiérrez-Botella, J.; García-Currás, J.; Cobos, M.J.; Vaquero, J.M.; Herrera, A.; Molina, M.J.; Gálvez, M.Á. Global Leadership Initiative on Malnutrition-Diagnosed Malnutrition in Lung Transplant Candidates. Nutrients 2024, 16, 376. Calañas-Continente, A.; Gutiérrez-Botella, J.; García-Currás, J.; Cobos, M.J.; Vaquero, J.M.; Herrera, A.; Molina, M.J.; Gálvez, M.Á. Global Leadership Initiative on Malnutrition-Diagnosed Malnutrition in Lung Transplant Candidates. Nutrients 2024, 16, 376.

Abstract

Background & aims: Malnutrition in lung transplant (LT) candidates increases postoperative morbidity and mortality. Early diagnosis of malnutrition could attenuate adverse prognostic factors. This study aimed to assess the prevalence of nutritional risk and malnutrition using GLIM criteria in LT candidates and clinically characterize those with malnutrition. Methods: A prospective longitudinal study was conducted from 2000 to 2020 of LT candidates who underwent complete nutritional assessment (nutritional screening, anthropometry, bioelectrical impedance, blood laboratory tests and malnutrition diagnosis using GLIM criteria). Results: Obstructive diseases (45.6%), interstitial diseases (36.6%) and cystic fibrosis/non-cystic fibrosis bronchiectasis (15.4%) were the main conditions assessed for LT. Of the 1060 candidates evaluated, 10.6% were underweight according to BMI, 29% were at risk of malnutrition and 47% were diagnosed with malnutrition using GLIM criteria. Reduced muscle mass was the most frequent GLIM phenotypic criterion. Malnutrition was more prevalent in patients with cystic fibrosis/non-cystic fibrosis bronchiectasis (84.5%), obstructive (45.4%) and interstitial (31.3%) diseases. GLIM criteria detected some degree of malnutrition in all diseases requiring LT and identified patients with higher CRP levels and worse respiratory function, anthropometric measurements and visceral protein and lipid profiles. Conclusions: LT candidates present a high prevalence of malnutrition using the GLIM algorithm. GLIM criteria detected malnutrition in all diseases requiring LT and defined patients with worse clinical-analytical profiles.

Keywords

Body composition; Lung transplantation; Malnutrition; Nutrition assessment; Reduced muscle mass; GLIM criteria

Subject

Medicine and Pharmacology, Endocrinology and Metabolism

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