Bioelectrical impedance in young patients with cystic fibrosis: Validation of a specific equation and clinical relevance

Charatsi, A.-M.; Dusser, Perrine; Freund, Romain; Maruani, Gérard; Rossin, Herbert W.; Boulier, Audrey; Bourgeois, M. Le; Chedevergne, F.; Blic, J. de; Letourneur, Annelise; Casimir, Georges; Jais, J.P.; Sermet‐Gaudelus, Isabelle

doi:10.1016/j.jcf.2016.05.004

Cited by 28 publications

(39 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…DXA relies on principles of x‐ray absorptiometry similar to CT but is associated with an extremely low radiation dose; as a result, DXA is able to be used in a much wider range of clinical populations 47 – 51 . In fact, due to the safety and availability of DXA scans, they are often used to validate various other body composition–estimating devices and equations, including CT 31 , 52 – 55 …”

Section: Dxamentioning

confidence: 99%

The Use of Technology for Estimating Body Composition

et al. 2016

View full text Add to dashboard Cite

Assessment of body composition, both at single time points and longitudinally, is particularly important in clinical nutrition practice. It provides a means for the clinician to characterize nutrition status at a single time point, aiding in the identification and diagnosis of malnutrition, and to monitor changes over time by providing real-time information on the adequacy of nutrition interventions. Objective body composition measurement tools are available clinically but are often underused in nutrition care, particularly in the United States. This is, in part, due to a number of factors concerning their use in a clinical context: cost and accessibility of equipment, as well as interpretability of the results. This article focuses on the factors influencing interpretation of results in a clinical setting. Body composition assessment, regardless of the method, is inherently limited by its indirect nature. Therefore, an understanding of the strengths and limitations of any method is essential for meaningful interpretation of its results. This review provides an overview of body composition technologies available clinically (computed tomography, dual-energy x-ray absorptiometry, bioimpedance, ultrasound) and discusses the strengths and limitations of each device.

show abstract

Section: Dxamentioning

confidence: 99%

The Use of Technology for Estimating Body Composition

et al. 2016

View full text Add to dashboard Cite

show abstract

“…The authors reported a very good accordance of both techniques and demonstrated that patients with reduced FFM, consisting of the body's water, bone, organs and muscle content, showed worse pulmonary function. 18 In our study using serial BIAs, the parameter ECM/ BCM ratio was the most accurate predictor of pulmonary function and superior to FFM. BCM consists of the whole-body cell mass, such as metabolically active organs and particularly muscles, whereas ECM includes the connective tissues such as collagen, elastin, skin, chords and bones, as well as interstitial water.…”

Section: Discussionmentioning

confidence: 55%

“…17 Recently, Charatsi et al evaluated BIA in comparison to DXA in a cross-sectional study of 54 paediatric CF patients and reported a very good accordance of both techniques, thus demonstrating that BIA can be reliably used in CF patients. 18 Additionally, patients with reduced FFM values showed worse pulmonary function, a finding that merits further attention.…”

Section: Introductionmentioning

confidence: 99%

Impact of nutritional status on pulmonary function after lung transplantation for cystic fibrosis

et al. 2018

View full text Add to dashboard Cite

Background: Nutritional status is an important prognostic factor in patients with cystic fibrosis (CF) prior to lung transplantation. Objective: To investigate the impact of nutritional status on pulmonary function in CF transplant recipients. Methods: Adult double lung transplanted CF patients were consecutively included. The predictive value of nutritional status on lung function -measured by spirometry -was longitudinally assessed by body composition serially evaluated by a threecompartment model bioelectrical impedance analysis (BIA) in comparison to body mass index (BMI). Results: Overall, 147 spirometries and 147 BIAs were performed in 58 patients (59% female, median age: 30.1 years, median BMI: 19.6 kg/m 2 ). Malnourished patients (BMI < 18.5 kg/m 2 ; 27.6%) had a significantly reduced lung function compared to normal/overweight patients (forced expiratory volume in 1 second in percent (FEV1%pred), 57% vs 77%; p ¼ 0.024). BMI, as well as the BIA parameters phase angle, total body water, fat free mass, body cell mass (BCM) and extracellular mass (ECM)/ BCM ratio, were univariate predictors of FEV1%pred. When included in a linear mixed model, ECM/BCM ratio remained the only significant predictor of lung function (p ¼ 0.012). Conclusion: Nutritional status assessed by BIA predicted lung function in CF transplant recipients. Serial BIA measurements to monitor patients' nutritional status might help to improve or maintain lung function. KeywordsCystic fibrosis, lung transplantation, bioelectrical impedance analysis, body mass index, pulmonary function Received: 26 January 2018; accepted: 25 April 2018 Key summary . Nutritional status is a key prognostic factor of lung function and survival in patients with cystic fibrosis (CF) prior to lung transplantation, but data are limited on its impact on lung function after transplantation. . This study used serial measurements of body composition by a three-compartment model bioelectrical impedance analysis (BIA) in comparison to body mass index in order to analyse its impact on pulmonary function in adult CF transplant recipients.

show abstract

“…Two studies proposed the use of population‐specific BIA equations to improve the accuracy of the measurements . Charatsi et al validated the only CF‐specific equation for BIA using DXA as a reference method …”

Section: Resultsmentioning

confidence: 99%

“…Studies documented a significant association between a decrease in FFM and impaired pulmonary function or poor respiratory muscle strength in patients with CF . Therefore, in recent years, there has been a growing research interest in comparing the accuracy of different BC methods in patients with CF and in the investigation of the relationship between BC and health outcomes …”

Section: Introductionmentioning

confidence: 99%

Tools and Methods Used for the Assessment of Body Composition in Patients With Cystic Fibrosis: A Systematic Review

et al. 2019

View full text Add to dashboard Cite

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.

show abstract

Bioelectrical impedance in young patients with cystic fibrosis: Validation of a specific equation and clinical relevance

Abstract: BIA, based on a CF-specific equation, is a reliable method for BC assessment and allows the identification of patients at risk of nutritional degradation and bad respiratory prognosis.

Cited by 28 publications

References 47 publications

The Use of Technology for Estimating Body Composition

The Use of Technology for Estimating Body Composition

Impact of nutritional status on pulmonary function after lung transplantation for cystic fibrosis

Tools and Methods Used for the Assessment of Body Composition in Patients With Cystic Fibrosis: A Systematic Review

Contact Info

Product

Resources

About