Assessment of Fat Free Mass Index and Its Impact on Health in Children With Cystic Fibrosis (GAIA)

August 5, 2016 updated by: University of Arkansas

Longitudinal Assessment of Fat Free Mass Index and Its Impact on Lung Health and Overall Health Metrics in Pediatric Patients With Cystic Fibrosis

The purpose of this study is to find out whether measurement of body composition has a prognostic value on clinical and overall outcome in pediatric patients with cystic fibrosis.

Study Overview

Status

Completed

Conditions

Detailed Description

Cystic fibrosis (CF) is one of the most common life-threatening inherited disorders affecting 1/35000 individuals in the US. In the past decades, the median predicted survival of CF patients has increased significantly from 10-12 to over 37 years (1). One of the major factors contributing to increased survival has been the understanding of the role of optimal nutrition on overall health status of individuals with CF.

Forced expiratory volume in one second (FEV1) is currently the best predictor of pulmonary health in CF, and malnutrition in a person of any age with CF has a negative impact on lung function with a more rapid yearly decline in FEV1. Recent data from the Cystic Fibrosis Foundation (CFF) patient registries in the United States and Canada were analyzed to determine whether any association existed between pulmonary function as measured by FEV1 and Body mass index (BMI) for age. BMI-for-age percentile values >50th percentile were associated with well-preserved lung function and lower values of BMI were associated with incrementally lower values of FEV1 (2). Thus, the CFF recommended that children with CF between the ages of 2 and 20 years maintain a BMI a≥50th percentile for age and sex. However, several publications have demonstrated that fat free muscle (FFM) wasting is evident even in individuals with a BMI > 50th percentile, and it is unknown whether BMI percentile adequately reflects changes in body composition in this group of patients; therefore, BMI might not be the best marker indicating an optimal nutritional status.

Limitations of BMI as a marker of optimal Nutrition: fat mass versus muscle mass In individuals with CF, BMI is used to assess appropriateness of weight to height for age and sex. Since there is a strong association between BMI and overall health metrics, especially lung health, the CFF recommends that children with CF maintain a BMI ≥50th percentile for age and sex. However, an apparent loss of skeletal muscle may occur in CF patients who retain their normal body weight, indicating that BMI does not provide any information about body compartments and may fail to detect subtle alterations in body composition. Although several epidemiologic studies showed that CF patients who maintain BMI> 50th percentile will have improved lung functions and survival, recent data indicate that the preserved FFM instead of BMI may have an impact on overall survival in CF (7). Because of the variability in the levels of both fat mass and fat-free mass, and the many combinations of fat mass index and FFM index associated with the same BMI, this weight-height index needs to be carefully interpreted. Because high levels of BMI-for-age are associated with substantial increases in fat mass, BMI is most useful as a measure of obesity. In chronic inflammatory diseases, a change in regional fat distribution is observed with a shift to a more central fat distribution. The latter is associated with an increase in low-grade chronic inflammation, insulin resistance, and cardiovascular risk (8). Therefore, BMI is a good index for assessment of obesity in otherwise normal children, but not adequate or sufficient in the CF population.

In summary, some pediatric patients with CF may have a decreased Fat-free Mass Index (FFMI) with a well preserved BMI of ≥50th percentile. Conversely, some patient might have a BMI<50th percentile with normal FFMI associated with overall well-being. Current practice forces CF patients to consume high fat and caloric nutrients to maintain a BMI >50th percentiles incurring the costs of causing anxiety, stress, daily struggle in the family with a potential increase in the pro-inflammatory state due to central fat accumulation. The outcome of the proposed study will contribute to the understanding of the relationships between BMI, muscle wasting and markers of health and wellbeing. If our study demonstrates that a well maintained FFMI rather than the BMI correlates better with good health status in CF, it may result in changes of current nutrition practice in CF at the national or even international level.

Study Type

Observational

Enrollment (Actual)

24

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Arkansas
      • Little Rock, Arkansas, United States, 72202
        • Arkansas Children's Hospital

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

7 years to 17 years (Child)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Children with cystic fibrosis 7-17 years followed at Arkansas Children's hospital Cystic Fibrosis Care Center

Description

Inclusion Criteria:

  • Subjects who already have a diagnosis of CF based on universal diagnostic criteria
  • Age 7 to 17 years at the time of enrollment
  • Under routine medical control at the CF center of Arkansas Children's Hospital(ACH)
  • Clinically stable in CF symptoms as determined by investigators

Exclusion Criteria:

  • Unstable current diagnosis of metabolic diseases including liver (cirrhosis) or renal disease
  • Failure to give informed consent
  • Individuals with pacemakers
  • Pregnancy in females of childbearing age. A pregnancy test will be performed on females who are post-menarche before performing a DEXA scan

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
body composition (bone mineral density)
Time Frame: change from baseline to 18 months
Compare Dual Energy X-Ray Absorptiometry (DEXA) analysis to GAIA device
change from baseline to 18 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Ariel Berlinski, MD, University of Arkansas for Medical Sciences/Arkansas Children's Hospital

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

June 1, 2012

Primary Completion (Actual)

July 1, 2016

Study Completion (Actual)

July 1, 2016

Study Registration Dates

First Submitted

July 22, 2011

First Submitted That Met QC Criteria

July 22, 2011

First Posted (Estimate)

July 25, 2011

Study Record Updates

Last Update Posted (Estimate)

August 9, 2016

Last Update Submitted That Met QC Criteria

August 5, 2016

Last Verified

August 1, 2016

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on Cystic Fibrosis

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