MedPath

Strength and Muscle Related Outcomes for Nutrition and Lung Function in CF

Recruiting
Conditions
Cystic Fibrosis
Interventions
Diagnostic Test: BMI and lean mass index from DXA
Diagnostic Test: Anthropometric Measurements
Diagnostic Test: Hand-grip strength
Diagnostic Test: Six-minute walk Test
Diagnostic Test: Sit-to-Stand Test
Diagnostic Test: Short physical performance battery (SPPB)
Diagnostic Test: BIA Sub-study
Diagnostic Test: Accelerometry to assess physical activity
Other: 12-month Questionnaire
Other: Oral glucose tolerance testing (OGTT)
Device: Continuous glucose monitoring (CGM)
Diagnostic Test: Chest CT scans (When available within the past 6 months in medical records)
Diagnostic Test: Hologic Dual X-Ray Absorptiometry (DXA)
Diagnostic Test: Ultrasound Sub-study of assessment of appendage muscles using ultrasound
Diagnostic Test: Spirometry
Registration Number
NCT05639556
Lead Sponsor
Jaeb Center for Health Research
Brief Summary

The goal of the study is to examine multiple markers of anthropometrics, body composition, sarcopenia and frailty and compare them to dual energy X-ray absorptiometry (DXA) output, which is considered the current clinical gold-standard tool to measure body composition. The result of this study will provide detailed data regarding the nutrition and body composition within this Cystic Fibrosis population and also provide a baseline evaluation for use of these biomarkers in the future studies including evaluation of nutritional intervention. Further, the study will also include psychosocial and other patient-reported outcomes and medical contributors to understand their contributions to the nutritional failure in the adult advanced lung disease population. Finally, the study will evaluate both established and emerging nutritional and body composition parameters and link them to clinical outcomes in adults with CF across the spectrum of pulmonary function.

Detailed Description

Not available

Recruitment & Eligibility

Status
RECRUITING
Sex
All
Target Recruitment
300
Inclusion Criteria
  • Cohort 1: Patients are eligible if their percentage of predicated forced expiratory volume in1 second (FEV1) is 60% or lower at screening.
  • Cohort 2: Patients are eligible if their percentage of predicted forced expiratory volume in 1 second (FEV1) is 60% or greater at screening.
  • Both cohorts match by age, gender, race and CFTR genotype severity.
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Exclusion Criteria
  • No prior solid organ transplantation
  • No initiation of an investigation drug within 28 days prior to and including Visit 1
  • No initiation of new chronic therapy (e.g., ibuprofen, azithromycin, inhaled tobramycin, Cayston, CFTR modulator) within 28 days prior to and including Visit 1.
  • No acute use of antibiotics (oral, inhaled or IV) or acute use of systemic corticosteroids for respiratory tract symptoms within 14 days prior to and including Visit 1.
  • For the BIA sub-study - Individuals with an implanted pacemaker will be excluded.
  • No initiation of a drug for weight loss (such as a GLP-1 receptor agonist) or bariatric surgery within 6-months prior to and including the Baseline visit.
  • Patients with continued rapid change or extreme GI symptoms related to weight loss therapy should be excluded at the discretion of the study investigator.
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Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Cohort 2SpirometryFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1BMI and lean mass index from DXAForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1BIA Sub-studyForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Accelerometry to assess physical activityForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Continuous glucose monitoring (CGM)Forced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Ultrasound Sub-study of assessment of appendage muscles using ultrasoundForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1SpirometryForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2BMI and lean mass index from DXAFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Sit-to-Stand TestFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Short physical performance battery (SPPB)FEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1Hand-grip strengthForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2Oral glucose tolerance testing (OGTT)FEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1Six-minute walk TestForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Sit-to-Stand TestForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Short physical performance battery (SPPB)Forced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2Six-minute walk TestFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2BIA Sub-studyFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 212-month QuestionnaireFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Continuous glucose monitoring (CGM)FEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1Anthropometric MeasurementsForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 112-month QuestionnaireForced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 1Oral glucose tolerance testing (OGTT)Forced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2Anthropometric MeasurementsFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Chest CT scans (When available within the past 6 months in medical records)FEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1Chest CT scans (When available within the past 6 months in medical records)Forced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2Accelerometry to assess physical activityFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 1Hologic Dual X-Ray Absorptiometry (DXA)Forced expiratory volume in 1 second (FEV1) \<60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). If no stable spirometry data are available in the 12 months prior to enrollment, from the prior 24 months will be used.
Cohort 2Hand-grip strengthFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Hologic Dual X-Ray Absorptiometry (DXA)FEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Cohort 2Ultrasound Sub-study of assessment of appendage muscles using ultrasoundFEV1 ≥60% predicted during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation).
Primary Outcome Measures
NameTimeMethod
Correlation between DXA lean mass index and BMIBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and BMI (kg/m2)

Correlation between DXA lean mass index and mid-arm muscle circumferenceBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and mid-arm muscle circumference (cm)

Correlation between DXA lean mass index and the 6-minute walk distance traveledBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and 6-minute walk (distance traveled in six minutes)

Correlation between DXA lean mass index and the 1-minute sit-to-stand number of repetitionsBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and 1-minute sit-to-stand (number of sit-to-stand repetitions in one minute)

Correlation between DXA lean mass index and hand-grip strengthBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and hand-grip strength (kg)

Correlation between DXA lean mass index and Short Physical Performance Battery frailty scoreBaseline and 1 year

Estimate and compare correlation between lean mass index from DXA (kg/m2) and Short Physical Performance Battery frailty score (total points)

Secondary Outcome Measures
NameTimeMethod
Characterize lean mass index from DXA cross-sectionally and longitudinallyBaseline and 1 year

Characterize lean mass index from DXA cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Characterize BMI cross-sectionally and longitudinallyBaseline and 1 year

Characterize lean mass index from BMI cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Characterize hand-grip strength cross-sectionally and longitudinallyBaseline and 1 year

Characterize hand-grip strength cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Compare BMI between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare BMI between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Characterize mid-arm measurement circumference cross-sectionally and longitudinallyBaseline and 1 year

Characterize lean mass index from mid-arm circumference measurements cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Characterize 1 minute sit-to-stand repetitions cross-sectionally and longitudinallyBaseline and 1 year

Characterize the 1 minute sit-to-stand repetitions cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Characterize the Short Physical Performance Battery frailty score cross-sectionally and longitudinallyBaseline and 1 year

Characterize the Short Physical Performance Battery frailty score cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Compare lean mass index from DXA between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare lean mass index from DXA between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Compare the Short Physical Performance Battery frailty score between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare the Short Physical Performance Battery frailty score between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Characterize mid-arm 6-minute walk test distance traveled cross-sectionally and longitudinallyBaseline and 1 year

Characterize the 6-minute walk test distance traveled cross-sectionally (at enrollment) and longitudinally (post-enrollment changes) based on descriptive statistics and evaluate variance

Compare the 1-minute sit-to-stand repetitions between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare the 1-minute sit-to-stand repetitions between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Evaluate the coefficient of variation in CGM glucose data in participants with FEV1 <60% and matched participants with FEV1 ≥60%participants with FEV1 ≥60%Baseline and 1 year

Evaluate the coefficient of variation in CGM glucose data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%participants with FEV1 ≥60%

Compare lean mass index from mid-arm muscle circumference between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare lean mass index from mid-arm muscle circumference between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Compare hand-grip strength between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare hand-grip strength between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Compare the 6-minute walk test distance between participants with FEV1 <60% to matched participants with FEV1 ≥60%Baseline and 1 year

Compare the 6-minute walk test distance between participants with FEV1 \<60% to matched participants with FEV1 ≥60%.

Evaluate peak glucose in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate peak glucose from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate % time below 70 mg/dL in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate % time below 70 mg/dL from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate % time below 54 mg/dL in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate % time below 54 mg/dL from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate the standard deviation in CGM glucose data in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate the standard deviation in CGM glucose data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate mean glucose in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate mean glucose from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate % time above 140 mg/dL in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate % time above 140 mg/dL from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Evaluate % time above 180 mg/dL in participants with FEV1 <60% and matched participants with FEV1 ≥60%Baseline and 1 year

Evaluate % time above 180 mg/dL from continuous glucose measurement data in participants with FEV1 \<60% and matched participants with FEV1 ≥60%

Trial Locations

Locations (23)

Washington University School of Medicine (St. Louis)

🇺🇸

Saint Louis, Missouri, United States

University of Virginia Cystic Fibrosis Center

🇺🇸

Charlottesville, Virginia, United States

University of Minnesota

🇺🇸

Minneapolis, Minnesota, United States

Massachusetts General Hospital (MGH)

🇺🇸

Boston, Massachusetts, United States

University of Arizona

🇺🇸

Tucson, Arizona, United States

University of Arkansas for Medical Sciences (UAMS)

🇺🇸

Little Rock, Arkansas, United States

Yale University School of Medicine

🇺🇸

New Haven, Connecticut, United States

New York Medical College (NYMC)

🇺🇸

Hawthorne, New York, United States

Northwestern University

🇺🇸

Chicago, Illinois, United States

University of Kentucky

🇺🇸

Lexington, Kentucky, United States

Boston Children's Hospital and Brigham and Women's CF Center

🇺🇸

Boston, Massachusetts, United States

Northwell LIJ Adult Cystic Fibrosis Center

🇺🇸

New Hyde Park, New York, United States

Emory

🇺🇸

Atlanta, Georgia, United States

University of Iowa

🇺🇸

Iowa City, Iowa, United States

John Hopkins University

🇺🇸

Baltimore, Maryland, United States

University of Cincinnati

🇺🇸

Cincinnati, Ohio, United States

University of Pittsburgh Medical Center

🇺🇸

Pittsburgh, Pennsylvania, United States

University Hospitals

🇺🇸

Cleveland, Ohio, United States

University of Oklahoma Sciences Center

🇺🇸

Oklahoma City, Oklahoma, United States

Medical University of South Carolina

🇺🇸

Charleston, South Carolina, United States

Baylor University

🇺🇸

Houston, Texas, United States

Oregon Health and Science University

🇺🇸

Portland, Oregon, United States

Tulane University

🇺🇸

New Orleans, Louisiana, United States

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