Clinical Trial Details
— Status: Active, not recruiting
Administrative data
NCT number |
NCT05181449 |
Other study ID # |
21-989 |
Secondary ID |
|
Status |
Active, not recruiting |
Phase |
N/A
|
First received |
|
Last updated |
|
Start date |
February 1, 2022 |
Est. completion date |
October 29, 2028 |
Study information
Verified date |
July 2023 |
Source |
The Cleveland Clinic |
Contact |
n/a |
Is FDA regulated |
No |
Health authority |
|
Study type |
Interventional
|
Clinical Trial Summary
This is a randomized study comparing outcomes of patients diagnosed with Type 2 Diabetes
(T2D) who are enrolled into the Twin Health Precision Treatment (TPT) system versus usual
care. The study will last for a year with a 1 year optional extension for the TPT arm
patients to continue for another year, and for the usual care (UC) patients to cross over to
the TPT treatment for a year.
150 patients will be enrolled with 100 being randomized to the TPT arm and 50 being enrolled
to the UC arm
Description:
This is a randomized study comparing outcomes of usual care patients diagnosed with Type 2
Diabetes (T2D) with patients diagnosed with T2D enrolled onto Twin Health's TPT system. Twin
Precision Treatment (TPT) system utilizes live, exercise and nutrition coaching based on
computer algorithm learning to attempt to improve patients overall health and reverse type 2
diabetes (T2D). The TPT system does so by measuring and addressing glucose aberrations
associated with meals. Using Whole Body Digital Twin (WBDT) platform powered by Artificial
Intelligence (AI) and the Internet of Things (IoT) technologies, the Whole Body Digital Twin
platform captures data on up to 174 health markers, up to 3000 daily data points to provide
precision nutrition guidance to the patient that precisely balances 87 essential nutrient
factors. The platform captures daily weight using Bluetooth scales and captures daily blood
pressure, particularly in patients with underlying HTN using Bluetooth blood pressure
measurement. Additionally, the Whole Body Digital Twin platform captures daily physical
activity and sleep data, and provides precision guidance on activity and sleep for the
patient to follow.
The machine learning algorithm is devised to integrate these multi-dimensional data and
accurately predict personalized glucose responses. Dietary intake is a central determinant of
blood glucose levels, and thus, to achieve optimal glucose levels, it is imperative to make
food choices that induce normal postprandial glycemic responses. Thus, the platform will
suggest the right food to the right participant at the right time.
Depending on the likes and dislikes of the patient, the Whole Body Digital Twin platform will
recommend a meal plan that is balanced across macro, micro and biota nutrients to reduce
glucotoxicity and lipotoxicity, which helps in ameliorating inflammation, fatty liver and
insulin resistance. This precise management of nutrition, activity and sleep ensures that the
average blood glucose of the day will be consistently maintained within the optimal range.
The intervention will continuously offer precision nutrition, precision sleep and precision
activity recommendations. Nutritional, activity, and sleep counseling will be provided by
trained health coaches through the app and via telephone.
In the usual care of type 2 diabetes, glucose-lowering medications are added progressively
with lifestyle modification to improve glycemia and optimize glycated hemoglobin values
(HbA1c) so as to reduce the risk of developing long-term complications. Standard of care is
to take such a glucose-centric approach to T2D management rather than focusing treatment on
the underlying root causes of the disease. It is rare to attempt to target remission of the
diabetes process since remission occurs in usual care regimens in only a very small
percentage of patients with type 2 diabetes (21). Studies that target other metabolic disease
states, such as obesity, have been proven to also impact T2D progression and achieve
remission states, but these types of approaches are rare in the usual care setting (22). Only
three therapeutic approaches have been associated with remission of diabetes: 1. Bariatric
surgery, 2. Very Low-Calorie diet, and 3. Ketogenic diet with near elimination of
carbohydrate (23). Our study attempts to determine if precision nutritional, activity and
sleep guidance associated with the Whole Body Digital Twin (WBDT) platform and Twin Precision
Treatment (TPT) can lead to diabetes remission in a population of patients with T2D.