Sistema de Salut de Catalunya
Institut Català de la Salut
[Fernández-Jiménez R] Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga, Spain. Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain. Department of Medicine and Dermatology, Málaga University, Malaga, Spain. Department of Endocrinology and Nutrition, Quironsalud Málaga Hospital, Malaga, Spain. [Sanmartín-Sánchez A] Department of Endocrinology and Nutrition, Son Espases University Hospital, Mallorca, Spain. [Cabrera-César E] Department of Neumology, Virgen de la Victoria University Hospital, Malaga, Spain. [Espíldora-Hernández F] Department of Neumology, Regional University Hospital, Malaga, Spain. [Vegas-Aguilar I, Amaya-Campos MDM] Department of Endocrinology and Nutrition, Virgen de la Victoria University Hospital, Malaga, Spain. Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain. [Palmas-Candia FX] Servei d’Endocrinologia i Nutrició, Vall d’Hebron Hospital Universitari, Barcelona, Spain
Vall d'Hebron Barcelona Hospital Campus
2024-10-16T11:47:08Z
2024-10-16T11:47:08Z
2024-08-28
Body composition; Computed tomography; Idiopathic pulmonary fibrosis
Composición corporal; Tomografía computarizada; Fibrosis pulmonar idiopática
Composició corporal; Tomografia computeritzada; Fibrosi pulmonar idiopàtica
Background: Body composition (BC) techniques, including bioelectrical impedance analysis (BIVA), nutritional ultrasound® (NU), and computed tomography (CT), can detect nutritional diagnoses such as sarcopenia (Sc). Sc in idiopathic pulmonary fibrosis (IPF) is associated with greater severity and lower survival. Our aim was to explore the correlation of BIVA, NU and functional parameters with BC at T12 level CT scans in patients with IPF but also its relationship with degree of Sc, malnutrition and mortality. Methods: This bicentric cross-sectional study included 60 IPF patients (85.2% male, 70.9 ± 7.8 years). Morphofunctional assessment (MFA) techniques included BIVA, NU, CT at T12 level (T12-CT), handgrip strength, and timed up and go. CT data were obtained using FocusedON®. Statistical analysis was conducted using JAMOVI version 2.3.22 to determine the cutoff points for Sc in T12-CT and to analyze correlations with other MFA techniques. Results: the cutoff for muscle area in T12-CT was ≤77.44 cm2 (area under the curve (AUC) = 0.734, sensitivity = 41.7%, specificity = 100%). The skeletal muscle index (SMI_T12CT) cutoff was ≤24.5 cm2/m2 (AUC = 0.689, sensitivity = 66.7%, specificity = 66.7%). Low SMI_T12CT exhibited significantly reduced median survival and higher risk of mortality compared to those with normal muscle mass (SMI cut off ≥ 28.8 cm/m2). SMI_T12CT was highly correlated with body cell mass from BIVA (r = 0.681) and rectus femoris cross-sectional area (RF-CSA) from NU (r = 0.599). Cronbach’s α for muscle parameters across different MFA techniques and CT was 0.735, confirming their validity for evaluating muscle composition. Conclusions: T12-CT scan is a reliable technique for measuring low muscle mass in patients with IPF, specifically when the L3 vertebrae are not captured. An SMI value of <28.8 is a good predictor of low lean mass and 12-month mortality in IPF patients.
This research was funded by FRESENEIUS KABI. The APC was funded by FRESENIUS KABI.
Article
Published version
English
Cos - Composició; Atròfia muscular - Diagnòstic; Atròfia muscular - Tomografia; Fibrosi pulmonar; DISEASES::Respiratory Tract Diseases::Lung Diseases::Lung Diseases, Interstitial::Idiopathic Interstitial Pneumonias::Idiopathic Pulmonary Fibrosis; ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Diagnosis::Diagnostic Techniques and Procedures::Diagnostic Imaging::Image Interpretation, Computer-Assisted::Tomography, X-Ray Computed; PHENOMENA AND PROCESSES::Physiological Phenomena::Body Constitution::Body Composition; DISEASES::Nervous System Diseases::Neurologic Manifestations::Neuromuscular Manifestations::Muscular Atrophy::Sarcopenia; Other subheadings::Other subheadings::/diagnosis; ENFERMEDADES::enfermedades respiratorias::enfermedades pulmonares::enfermedades pulmonares intersticiales::neumonías intersticiales idiopáticas::fibrosis pulmonar idiopática; TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::diagnóstico::técnicas y procedimientos diagnósticos::diagnóstico por imagen::interpretación de imágenes asistida por ordenador::tomografía computarizada por rayos X; FENÓMENOS Y PROCESOS::fenómenos fisiológicos::constitución corporal::composición corporal; ENFERMEDADES::enfermedades del sistema nervioso::manifestaciones neurológicas::manifestaciones neuromusculares::atrofia muscular::sarcopenia; Otros calificadores::Otros calificadores::/diagnóstico
MDPI
Nutrients;16(17)
https://doi.org/10.3390/nu16172885
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
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