Cystic Fibrosis
Conditions
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.
Interventions
DIAGNOSTIC_TESTBMI and lean mass index from DXA
Estimate and compare correlation between lean mass index from DXA and BMI
DIAGNOSTIC_TESTAnthropometric Measurements
Skinfold will be assessed with calipers. Circumference will be measured with a tape measure.
DIAGNOSTIC_TESTHand-grip strength
A small, handheld dynamometer will be used to measure grip strength, a measure of function, on each hand.
DIAGNOSTIC_TESTSix-minute walk Test
This will be another functional assessment of fitness. Participants will be asked to walk at their normal pace for 6 minutes.The total distance walked in that time will be measured.
DIAGNOSTIC_TESTSit-to-Stand Test
This will be used as a functional assessment of fitness and lower extremity strength. Participants will start seated on a chair and be asked to complete as many sit-to-stand repetitions without using their arms for one minute.
DIAGNOSTIC_TESTShort physical performance battery (SPPB)
This is an assessment of frailty. The test is completed in approximately 8 minutes. The test consists of 3 assessments: 1) Balance tests where the participant stands and tries to balance with their feet in various positions for 10 seconds each without assistance (side-by-side, heel-to-side, and heel-to-toe); 2) Two 4-meter gait speed tests; and 3) Chair-stand tests (single chair stand, 5 chair stands).
DIAGNOSTIC_TESTBIA Sub-study
A minimum of 50 individuals will be enrolled. Body composition will be assessed at each study visit using study bioelectrical impendence analysis (BIA).
DIAGNOSTIC_TESTAccelerometry to assess physical activity
Participants will be provided with a wrist-worn accelerometer/heart rate monitor at the baseline study visit and asked to wear it continuously for at least 3-10 days (two weekdays, one weekend day). Approximately every 3 months, the participant will be asked to again wear the accelerometer. Participants will be able to keep their accelerometers.
OTHERGastrointestinal (GI) and nutrition questionnaires:
Subjects will complete surveys regarding gastrointestinal (GI) symptoms, including the Patient Assessment of Constipation (PAC-SYM) Score, Patient Assessment of Gastrointestinal Symptoms (PACGI-SYM) Score, the Bristol Stool Chart, and the scored Patient-Generated Subjective Global Assessment (PG-SGA).
OTHERPsychosocial questionnaire: PHQ-8
This is an 8-item scale that measures depressive symptoms over the past two weeks.
OTHERPsychosocial questionnaire: GAD-7
This is a 7-items scale that measures anxiety symptoms over the past two weeks, from not at all to nearly every day.
OTHERPsychosocial questionnaire: The Treatment Self-Regulation Questionnaire (TSRQ)
This is a 15-item scale that assesses the degree to which participants' motivation is autonomous or self-regulated.
OTHERPsychosocial questionnaire: CF Fatalism Scale
The CF Fatalism Scale measures the belief in a lack of personal power or control over one's future and has 13 items.
OTHERPsychosocial questionnaire: Body Esteem Scale for Adolescents and Adults (BESAA)
The Body Esteem Scale for Adolescents and Adults (BESAA) is 23-item measurement of self-evaluations of one's body or appearance.
OTHER12-month Questionnaire
A short questionnaire designed to explore participants' perspectives of the acceptability and feasibility of nutritional assessments used in STRONG-CF will be given to all study participants at the end of the study.
OTHEROral glucose tolerance testing (OGTT)
For subjects without previously diagnosed CFRD, an OGTT will be performed at baseline and 12-months with samples analyzed at the central lab.
DEVICEContinuous glucose monitoring (CGM)
Subjects will wear a Dexcom G6Pro sensor in blinded mode for three 10-day periods to collect comprehensive glucose data.
DIAGNOSTIC_TESTChest CT scans (When available within the past 6 months in medical records)
Standard of Care chest CT images will be drawn from the medical record, as available, from enrolled participants. FEV1 measurements prior to chest CT scans will be recorded to account for possible illness occurring at the time of scanning. Quantitative assessment of the pectoralis muscle area will be performed on the first single axial image above the aortic arch. Any additional standard of care chest CT's that are performed while the participant is enrolled in the study will also be collected and have a quantitative assessment of the pectoralis muscle performed.
DIAGNOSTIC_TESTHologic Dual X-Ray Absorptiometry (DXA)
DXA measurements for whole body, total hip and lumbar spine will be acquired using the Hologic DXA and standard positioning as noted in the DXA Manual of Operations. DXA will be used to estimate total and regional body composition, which will include body fat and lean body mass. This will be used as the gold standard from which to validate BIA and MAMC.
DIAGNOSTIC_TESTUltrasound Sub-study of assessment of appendage muscles using ultrasound
A minimum of 50 individuals will be enrolled. At each study visit, participants will undergo ultrasound muscle measurements (cross-sectional area and muscle thickness) of the biceps and quadriceps on each (left and right) side of the body (4 total areas). These measurements will be obtained in triplicate for each patient.
DIAGNOSTIC_TESTPsychosocial questionnaire: Hunger Vital Sign questionnaire
Screening tool for identifying households at risk of food insecurity and poor health outcomes linked to food insecurity with 3-items over the last 12 months.
OTHERRespiratory symptom questionnaire: CRISS
Chronic Respiratory Infection Symptom Score (CRISS) is an 8-item respiratory symptom questionnaire covering the last 24-hours.
DIAGNOSTIC_TESTSpirometry
Spirometry will be performed in accordance with the current American Thoracic Society recommendations for the performance and interpretation of tests.
OTHERPsychosocial questionnaire: Additional Health Questionnaire
Single question over the last 3 months/90 days about cannabis use for GI problems and appetite. The clinical sites will not see the responses to this question. It will be completed by the participant online either during the study visit or at home.
OTHERCF Management Questionnaire
Assessment of prior 12-month management of cystic fibrosis, including treatments, medication intake and hospitalizations. This questionnaire will only be completed at 24- and 36- month visits.
Assessment of prior 12-month nutritional intake being completed at Baseline (no later than 6-month visit) and 12-month visit.
Sponsors
Jaeb Center for Health Research
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* Cohort 1: Participants are eligible if their percentage of predicated forced expiratory volume in 1 second (ppFEV1) is \<70% during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation) * Cohort 2: Participants are eligible if their percentage of predicted forced expiratory volume in 1 second (ppFEV1) is 70% or greater during the 12 months prior to enrollment (\>50% of measurements, eliminating periods of exacerbation). * Both cohorts match by age, gender, race and CFTR genotype severity.
Exclusion criteria
* No prior solid organ transplantation * No initiation of an investigation drug within 28 days prior to and including Baseline Visit. * No initiation of new chronic therapy (e.g., ibuprofen, azithromycin, inhaled tobramycin, Cayston, CFTR modulator, etc.) within 28 days prior to and including Baseline visit. * 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 Baseline visit. * 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between DXA lean mass index and mid-arm muscle circumference | Baseline 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 hand-grip strength | Baseline 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 the 6-minute walk distance traveled | Baseline 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 repetitions | Baseline 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 Short Physical Performance Battery frailty score | Baseline and 1 year | Estimate and compare correlation between lean mass index from DXA (kg/m2) and Short Physical Performance Battery frailty score (total points) |
| Correlation between DXA lean mass index and BMI | Baseline and 1 year | Estimate and compare correlation between lean mass index from DXA (kg/m2) and BMI (kg/m2) |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Characterize hand-grip strength cross-sectionally and longitudinally | Baseline and 1 year | Characterize hand-grip strength 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 longitudinally | Baseline 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 mid-arm 6-minute walk test distance traveled cross-sectionally and longitudinally | Baseline 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 |
| Characterize the Short Physical Performance Battery frailty score cross-sectionally and longitudinally | Baseline 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 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare lean mass index from DXA between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare BMI between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare BMI between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare lean mass index from mid-arm muscle circumference between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare lean mass index from mid-arm muscle circumference between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare hand-grip strength between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare hand-grip strength between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare the 1-minute sit-to-stand repetitions between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare the 1-minute sit-to-stand repetitions between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare the 6-minute walk test distance between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare the 6-minute walk test distance between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Compare the Short Physical Performance Battery frailty score between participants with FEV1 <70% to matched participants with FEV1 ≥70% | Baseline and 1 year | Compare the Short Physical Performance Battery frailty score between participants with FEV1 \<70% to matched participants with FEV1 ≥70%. |
| Evaluate mean glucose in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate mean glucose from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate % time above 140 mg/dL in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate % time above 140 mg/dL from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate % time above 180 mg/dL in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate % time above 180 mg/dL from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate the standard deviation in CGM glucose data in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate the standard deviation in CGM glucose data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate peak glucose in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate peak glucose from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate the coefficient of variation in CGM glucose data in participants with FEV1 <70% and matched participants with FEV1 ≥70% participants | Baseline and 1 year | Evaluate the coefficient of variation in CGM glucose data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% participants |
| Evaluate % time below 70 mg/dL in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate % time below 70 mg/dL from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Evaluate % time below 54 mg/dL in participants with FEV1 <70% and matched participants with FEV1 ≥70% | Baseline and 1 year | Evaluate % time below 54 mg/dL from continuous glucose measurement data in participants with FEV1 \<70% and matched participants with FEV1 ≥70% |
| Characterize lean mass index from DXA cross-sectionally and longitudinally | Baseline 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 longitudinally | Baseline 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 mid-arm measurement circumference cross-sectionally and longitudinally | Baseline 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 |
Countries
United States
Contacts
PRINCIPAL_INVESTIGATORAdam Stein
Northwestern University
PRINCIPAL_INVESTIGATORJessica Alvarez
Emory University
PRINCIPAL_INVESTIGATORMelissa Putman
Massachusetts General Hospital
Outcome results
None listed