CClinicalTrials.gg
Status unknownNCT05261841GK_T2DUpdated Jan 30, 2023

Predictive Model on the Effect of Lifestyles in the Management of T2D

An observational study in Type 2 Diabetes, sponsored by Casa Sollievo della Sofferenza IRCCS. Status unknown at 1 site in Italy. Open to participants aged 55 Years to 100 Years. Per ClinicalTrials.gov, last updated 2023-01-30.

Sponsored by Casa Sollievo della Sofferenza IRCCS · Observational

The sponsor has not verified this record recently (last verified Jan 2023), so the status shown — last known as Active, not recruiting — may be out of date.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
100
Ages
55 Years to 100 Years
Sex
All
01

Study summary

This study aims to produce new evidence on the positive effects of physical activity and certain individual lifestyles in the control of type 2 diabetic disease. The goal is to build and evaluate the effectiveness of a new parsimonious risk prediction model based on the use of classical variables (blood exams), already used in other models for predicting the risk related to the disease, together with measures obtained from the use of wearable devices (steps count, sleep hours, heart rate).

Read the detailed description

Scientific literature has shown that the use of wearable devices can improve the control of type 2 diabetes mellitus. The aim of the study is to develop a statistical model for the control of type 2 diabetes mellitus (DMT2) based on the use of "conventional" clinical parameters and the use of "unconventional" data from wearable devices. The medical outcome variable that will be used to measure diabetes control and model performance will be the Glycated Hemoglobin (HbA1c). The participant will receive a Samsung smartwatch (Galaxy Watch 3) and a Samsung smartphone (A51), (the latter only in case the participant is not in possession of a compatible smartphone) which he/she must wear during his daily activities and also during the night to measure daily activity, sleep hours and heart rate. Casa Sollievo della Sofferenza Hospital previoulsy developted the ENFORCE calculator, an inexpensive and parsimonious prediction model of 2-year all cause mortality in real life patients with T2D. In this study the investigators aim to elaborate a standardized validated risk scores similar to what has been done for ENFORCE.

02

Conditions studied

  • Type 2 Diabetes

Keywords

  • T2D
  • CONSUMER DEVICES
  • SMARTWATCH
  • ARTIFICIAL INTELLIGENCE
03

Who can participate

Ages eligible
55 Years to 100 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients with type 2 diabetes followed by Casa Sollievo della Sofferenza Hospital

Inclusion criteria

  • Age ≥ 55 years old
  • Affected by Type 2 Diabetes and monitored by Casa Sollievo della Sofferenza Hospital
  • Basic skills in using a smartphone and its apps
  • Available to use the device and its applications
  • Ability to understand the informed consent

Exclusion criteria

Exclusion Criteria:

  • Inability to understand the informed consent
  • Low life expectancy
  • Type 1 Diabetes
  • Secondary Diabetes
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
100 participants (actual)
Patient registry
No

Groups and cohorts

  • TYPE 2 DIABETES

    Patients affected by type 2 diabetes

    Other: Standard care for T2D patients, Smartwatch

Interventions

  • OtherStandard care for T2D patients, Smartwatch

    No intervention, observational study

05

What researchers measure

Primary outcomes

  1. Change from Baseline HbA1c at 6 and 12 months

    Glycated Hemoglobin

    Time frame: Baseline, 6 months, 12 months

06

Study locations

1 site
  • Casa Sollievo della Sofferenza IRCCS
    San Giovanni Rotondo, FG 71013, Italy
07

References and documents

Publications

  • Copetti M, Shah H, Fontana A, Scarale MG, Menzaghi C, De Cosmo S, Garofolo M, Sorrentino MR, Lamacchia O, Penno G, Doria A, Trischitta V. Estimation of Mortality Risk in Type 2 Diabetic Patients (ENFORCE): An Inexpensive and Parsimonious Prediction Model. J Clin Endocrinol Metab. 2019 Oct 1;104(10):4900-4908. doi: 10.1210/jc.2019-00215. PubMed 31087060 ↗
08

Registry details

Key details

Study ID
NCT05261841
Lead sponsor
Casa Sollievo della Sofferenza IRCCS
Responsible party
Sponsor
First posted
Mar 2, 2022
Start date
Jun 26, 2021
Primary completion
Jun 2023 (estimated)
Completion
Jun 2023 (estimated)
Last update
Jan 30, 2023

Study contacts

Salvatore De Cosmo, MD
principal investigator · Casa Sollievo della Sofferenza IRCCS

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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This study is status unknown, as verified in Jan 2023. You cannot join it, but the record below documents what was studied.

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