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Glycemic Monitoring in Cystic Fibrosis

Characterization of Glucose Variability by Continuous Glucose Monitoring in Non-diabetic Youth With and Without Cystic Fibrosis

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02211235
Acronym
GEM
Enrollment
146
Registered
2014-08-07
Start date
2014-08-31
Completion date
2018-05-16
Last updated
2023-03-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cystic Fibrosis

Keywords

Cystic Fibrosis, Healthy Controls, Diabetes, Cystic Fibrosis Related Diabetes (CFRD), CFRD

Brief summary

Current guidelines on the diagnoses and management of cystic fibrosis (CF) related diabetes recommend treatment for diabetes based on diagnostic criteria derived from adults with type 2 diabetes. Increasing evidence supports treating early glucose abnormalities in cystic fibrosis patients to target CF specific outcomes, including lung function and nutrition (BMI-Body Mass Index). However, the criteria and timing of when to start insulin therapy in the 'prediabetic' state are unclear. A more accurate characterization of blood sugar variability in youth with and without CF will help the investigators better interpret continuous glucose monitor (CGM) findings in patients with CF prediabetes and diabetes and more accurately identify those individuals at greatest risk for disease progression.

Interventions

None listed

Sponsors

University of Colorado, Denver
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
6 Years to 25 Years
Healthy volunteers
Yes

Inclusion criteria

Healthy controls (n=45) - 1. Age 10-25 years 2. BMI \<85th percentile 3. Baseline health at enrollment CF controls (n=45) - 1. Age 10-25 years 2. Diagnosis of cystic fibrosis (by newborn screen, sweat chloride testing, or genetic testing) 3. Baseline health at enrollment (no inclusion/

Exclusion criteria

for CF patients based on lung function, BMI, pancreatic insufficiency, or genotype) CF prediabetes & CFRD (n=70) 1. Age 10-25 years 2. Diagnosis of cystic fibrosis (by newborn screen, sweat chloride testing, or genetic testing) 3. History of abnormal oral glucose tolerance testing (2h-glucose \>140, fasting plasma glucose \>100,1hr glucose \>200) 4. If taking medication that affects glucose metabolism (ex. Insulin, insulin sensitizers, glucocorticoids, atypical antipsychotics), should be on a stable dose over the past 3 months

Design outcomes

Primary

MeasureTime frameDescription
The percentage of time spent > 140 mg/dl on CGM7 daysPercentage of time above normal glucose cut-point.

Secondary

MeasureTime frameDescription
The percentage of time spent > 200 mg/dl on CGM7 daysMeasures of glucose variability on CGM
The percentage of time spent < 70 mg/dl on CGM7 daysMeasures of glucose variability on CGM
The percentage of time spent < 60 mg/dl on CGM7 daysMeasures of glucose variability on CGM
The number of excursions > 200mg/dl in 24 hours for one week7 daysMeasures of glucose variability including peak glucose, mean glucose and measures of glucose variability on CGM.
The percentage of time spent > 120 mg/dl on CGM7 daysMeasures of glucose variability on CGM

Other

MeasureTime frameDescription
Characterize the relationships between markers of glycemia3 daysTo characterize the relationships between alternative markers of glycemia (fructosamine, glycated albumin, and 1,5-anhydroglucitol) and CGM variables in non-diabetic CF youth and healthy controls
Change in CGM variables and lung function3 yearsTo analyze in youth with CF the relationship between CGM variables and lung function change in the preceding three years Secondary outcome: Change in forced expiratory volume at one second (FEV1) and forced vital capacity (FVC) measures collected at routine clinical visits over the preceding three years
Change in CGM variables and BMI3 yearsTo analyze in youth with CF the relationship between CGM variables and BMI Primary outcome: Change in BMI z-score collected at routine clinical visits over the preceding three years

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026