Fitterfly HealthTech Pvt Ltd Logo
< Back to Listing
Conference abstracts Conference abstracts
ATTD-2023
Feb 2023 | Poster | By Sanjay Kalra, Sudhindra Kulkarni, Ashish Sarawte, Sneha Nikte, Dr Ritika Verma, Dr. Snehal Tanna, Dr Arbinder Kumar Singal

Predictive model for estimating fasting and postprandial CGM readings by using baseline HbA1c values: Analysis of real-world data in Fitterfly Diabetes digital therapeutics program

This study used a multiple linear regression model to examine the influences of baseline HbA1c level on CGM based FBS reading and PPBS reading among 237 enrolled in Fitterfly Diabetes program. CGM-FBS reading was found to be significantly associated with HbA1c. CGM-PPBG reading was found to be significantly associated with HbA1c. HbA1c values along with baseline parameters can help in prediction of FBS and PPBS readings on a CGM device, thus helping in more informed use of CGM sensors.

Read full paper