BGEM Use as Blood Glucose Prediction Model in T2DM Population of Indonesia
NCT ID: NCT06642467
Last Updated: 2024-10-15
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
885 participants
OBSERVATIONAL
2024-07-30
2024-10-05
Brief Summary
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Detailed Description
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Using signals from consumer-grade PPG sensors on wrist wearables, smart rings or hearables, BGEM® AI model computes the relevant digital biomarkers correlated with the change of blood glucose level to predict a blood glucose result for monitoring and evaluating diabetic risks. Our previous study has shown the potential of using PPG sensors to detect elevated blood glucose levels among a non-diabetic population1.
Objective Ukrida in collaboration with Actxa \& Lif to enhance the current model's prediction accuracy to predict the blood glucose levels of individuals almost as accurately as a glucometer. To achieve this, Actxa aims to collect data from around 500 individuals with diabetes in this exercise and 400 healthy or undiagnosed (prediabetes/diabetes) individuals, as part of Actxa's collaboration with UKRIDA Hospital.
With the data collected, our algorithm holds the potential to significantly improve the management of blood glucose levels for people with and without diabetes, ultimately enhancing their overall quality of life.
Conditions
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Study Design
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CASE_CROSSOVER
CROSS_SECTIONAL
Study Groups
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Diabetic Group
Subjects age 18-59 years old who was diagnosed with type 2 diabetes mellitus, or pre DM or known to have abnormal Hba1c or blood glucose results
BGEM
BGEM is an ai driven model to predict blood glucose using ppg sensor
Non diabetic Group
Subjects age 18-59 years old who never diagnosed to have diabetes mellitus or pre DM
BGEM
BGEM is an ai driven model to predict blood glucose using ppg sensor
Interventions
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BGEM
BGEM is an ai driven model to predict blood glucose using ppg sensor
Eligibility Criteria
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Inclusion Criteria
* diabetic or non diabetic
* healthy enough to undergoes normal daily activity
Exclusion Criteria
* Is currently pregnant
* Has an infection
* Has a fever
18 Years
59 Years
ALL
No
Sponsors
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Actxa
UNKNOWN
Lif
UNKNOWN
Krida Wacana Christian University
OTHER
Responsible Party
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Locations
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Ukrida Hospital
Jakarta, Jakarta Special Capital Region, Indonesia
Countries
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Other Identifiers
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KridaWacanaCU
Identifier Type: -
Identifier Source: org_study_id
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