Actively Recruiting
CGM Dynamic Index for Predicting Prediabetes in Cystic Fibrosis
Led by Indiana University · Updated on 2025-07-29
70
Participants Needed
1
Research Sites
54 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The primary objective of this pilot study is to develop a CGM-based model to predict the progression from prediabetes to diabetes in individuals with cystic fibrosis.
CONDITIONS
Official Title
CGM Dynamic Index for Predicting Prediabetes in Cystic Fibrosis
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Individuals with cystic fibrosis aged 12 to 55 years
- Diagnosed with cystic fibrosis without diabetes or with prediabetes as defined by oral glucose tolerance test and HbA1c
- Willing to use a continuous glucose monitoring system with a compatible smartphone for glucose data collection
- People with cystic fibrosis-related diabetes already using CGM may participate by providing their personal CGM data without the need for oral glucose tolerance test or HbA1c visit
You will not qualify if you...
- Pregnancy
- History of transplant
- Use of immunosuppressant drugs
- Use of oral steroids or any medication known to interfere with glucose
- Allergy to adhesives
- Severe concurrent medical conditions that could affect glucose monitoring data, such as terminal illness or major organ failure
- Any condition that may make participation unsafe or impair the study as determined by the investigator
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Indiana University Health, University Hospital
Indianapolis, Indiana, United States, 46202
Actively Recruiting
Research Team
E
Eslam Montaser, PhD
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
SINGLE_GROUP
Primary Purpose
OTHER
Number of Arms
2
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