• Nutrition · Apr 2018

    Association between body composition and pulmonary function in children and young people with cystic fibrosis.

    • Patrizia Calella, Giuliana Valerio, Matt Thomas, Helen McCabe, Jake Taylor, Malcolm Brodlie, and Mario Siervo.
    • Department of Movement Sciences and Wellbeing, Parthenope University, Naples, Italy; Institute of Cellular Medicine, Newcastle University, UK. Electronic address: Patrizia.calella@uniparthenope.it.
    • Nutrition. 2018 Apr 1; 48: 73-76.

    ObjectivesBody mass index (BMI) has significant limitations when assessing nutritional status in pediatric patients with cystic fibrosis (CF). We evaluated whether measurements of lean body mass (LBM) and fat mass (FM) are more sensitive nutritional parameters by testing their association with pulmonary function in adolescent patients with CF.MethodsSixty-nine male and female adolescents with CF were studied (age: 14.5 ± 2.3, BMI: 19.5 ± 2.3 kg/m2). Dual-energy x-ray absorptiometry (DXA) was used to measure total and segmental (appendicular, truncal) body composition (FM, LBM bone mineral density, and content) as routine care to monitor bone health. Correlation and multiple regression analyses were performed to assess the association among body composition variables and forced expiratory volume in 1 s (FEV1). We also evaluated the influence of the F508del mutation on body composition.ResultsFEV1 was significantly associated with total (r = 0.68, P <0.001), truncal (r = 0.71, P <0.001), and appendicular (r = 0.67, P <0.001) LBM, whereas it was not associated with total (r = 0.02, P = 0.89) and truncal (r = 0.04, P = 0.77) FM. BMI had a significant but weaker correlation with FEV1 (r = 0.52, P <0.001) compared with LBM. LBM was the only significant predictor of FEV1 in fully adjusted regression models.ConclusionsLBM is a significant predictor of pulmonary function in CF adolescent patients. DXA scanning performed as part of routine bone health monitoring in CF can provide important body composition data relevant to clinical interventions that optimize nutritional status. DXA reference data for LBM in non-adult populations are needed to enhance diagnostic assessment and monitor clinical progression of CF.Copyright © 2017 Elsevier Inc. All rights reserved.

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