CGM Dynamic Index for Predicting Prediabetes in Cystic Fibrosis

Recruiting now · Not applicable

Conditions studied: Prediabetes, Cystic Fibrosis (CF), Cystic Fibrosis-related Diabetes

In brief

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.

Key facts

Study ID

NCT06642610

Run by

Indiana University

People needed

70

Starts

2025-06-15

Expected to finish

2026-06-30

Last updated by the study team

2025-07-29

Who can join

Age: 12 and older, up to 55. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• CF individuals aged 12-55 years.
• CF without diabetes or with prediabetes (as defined by OGTT and HbA1c).
• Willing to use a continuous glucose monitoring system with compatible smart phone for glucose data collection.
• A person with CFRD and already using CGM, we will just collect their personal CGM data, and they are not required to have OGTT or HbA1c visit.

You may not qualify if…

• Pregnancy.
• History of transplant.
• Use of immunosuppressant drugs.
• Use of oral steroids or any medication known to interfere with glucose.
• Allergy to adhesives.
• Individuals with severe concurrent medical conditions that could confound glucose monitoring data (e.g., terminal illness, major organ failure).
• Conditions that may make unsafe for participants to do study or impair or confound the study at the discretion of the investigator

Where it is running

• Indiana University Health, University Hospital — Indianapolis, Indiana, United States (enrolling)

Full record on ClinicalTrials.gov

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