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Jouneau, Stéphane; Kerjouan, Mallorie; Rousseau, Chloé; Lederlin, Mathieu; Llamas-Guttierez, Francisco; De Latour, Bertrand; Guillot, Stéphanie; Vernhet, Laurent; Desrues, Benoit; Thibault, Ronan
Nutrition (Burbank, Los Angeles County, Calif.), June 2019, 2019-06-00, 20190601, 2019-06, Volume: 62Journal Article
•Malnutrition is very frequent in idiopathic pulmonary fibrosis (IPF) patients.•Low fat-free mass index (FFMI) assessed by bioimpedance analysis (BIA) is reported in 28% of patients.•Body mass index (BMI) and mid-arm circumference (MAC) are independently associated with low FFMI.•A two-step nutritional assessment based on BMI, MAC, and BIA should be routinely performed in IPF patients. Little is known about the indicators to assess malnutrition in patients with idiopathic pulmonary fibrosis (IPF). This study aimed to determine the following: 1) the prevalence of malnutrition in IPF patients; 2) the nutritional indicators predictive of low fat-free mass (FFM) as measured by bioimpedance analysis; 3) the IPF patients’ characteristics associated with low FFM. The IPF patients were consecutively recruited in a referral center for rare pulmonary diseases. Malnutrition was defined as a fat-free mass index (FFMI) = FFM (kg) / (height m2) <17 (men) or <15 (women). Nutritional assessment included body mass index (BMI), mid-arm circumference (MAC), triceps skinfold thickness, analogue food intake scale, and serum albumin and transthyretin. The primary endpoint was FFMI. Area under the receiver operating characteristic curve (AUC) assessed low FFMI prediction from nutritional indicators. Multivariable logistic regression determined variables associated with low FFMI. Eighty-one patients were consecutively recruited. Low FFMI prevalence was 28% (23 of 81). BMI AUC was 0.91 (95% confidence interval CI, 0.84‒0.97) and MAC AUC was 0.85 (0.76‒0.94). Multivariable analysis associated BMI (odds ratio OR 0.26 95% CI, 0.12–0.54, P = 0.0003), male sex (OR 0.02 0.00–0.33, P = 0.005), and smoking (OR 0.10 0.01–0.75, P = 0.024) with a lower risk of malnutrition. Malnutrition occurred in nearly one-third of IPF patients. Malnutrition screening should become systematic based on BMI and MAC, which are good clinical indicators of low FFMI. We propose a practical approach to screen malnutrition in IPF patients.
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