Tools and Methods Used for the Assessment of Body Composition in Patients With Cystic Fibrosis: A Systematic Review. (7th February 2019)

• Record Type: Journal Article
• Authors: Calella, Patrizia; Valerio, Giuliana; Brodlie, Malcolm; Taylor, Jake; Donini, Lorenzo Maria; Siervo, Mario
• Is Part Of: Nutrition in clinical practice. Volume 34:Number 5(2019)
• Page Start: 701
• Page End: 714
• Publication Date: 2019-02-07
• Subjects: bioimpedance analysis -- body composition -- cystic fibrosis -- dual X‐ray absorptiometry; Nutrition -- Periodicals; Diet therapy -- Periodicals; Artificial feeding -- Periodicals; 615.854
• DOI: 10.1002/ncp.10247
• Languages: English
• ISSNs: 0884-5336

Abstract

Abstract: Background: Cystic fibrosis (CF) is characterized by changes in fat mass and lean body mass that may have important prognostic value. We aim to appraise the type and frequency of application of body composition (BC) methods in child and adult patients with CF. Methods: We used 4 databases (Embase, PubMed, Scopus, and Web of Science) to perform the literature search. The search was conducted from January 2017 to February 2017. Two independent reviewers selected articles based on titles and abstracts to check eligibility for inclusion. All study designs or types of articles (abstract, full text) were considered. Results: Eighty‐four full‐text articles and 40 studies presented only as abstracts were selected. Sixty‐four studies included children and adolescents (age range of 0.1–18 years), and 41 studies recruited adults (range of 18–57 years); 13 studies included both age groups. Dual‐energy X‐ray absorptiometry (DXA) was used in 56 studies (33.9%), and bioelectric impedance analysis (BIA) was used in 12 studies (9.7%), whereas 38 studies (30.6%) combined different methods (up to 5 different methods) to assess BC. Conclusions: The results show a large variability in the application of BC methods in patients with CF that makes the comparison between studies difficult. The only methods with a sufficient body of literature are DXA and BIA.