Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease (ARISES)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
ARISES will target self-management to optimise glucose control through insulin dose recommendation (therapeutic advice), exercise and stress support, hypoglycaemia prevention through timely snack recommendation and behavioural change through educational support (lifestyle advice).
Semi-structured focus meetings comprised of patients with T1DM, clinicians, engineers and experts in human-computer interaction will provide a forum to establish the essential usability requirements to incorporate into the ARISES mobile interface. The design will focus on ensuring access to decision support is intuitive and efficient while maintaining sight of real-time glycaemia outcomes. The design and implementation of the user-interface will be assessed in a series of usability validation studies.
Clinical studies will be conducted in two phases. The first phase will be an observational study using wearable technologies to collect data and evaluate blood glucose correlations against physiological and environmental case parameters. Useful associations will assist the development of the CBR/machine learning algorithm and identify wearable devices for the final ARISES platform.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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-
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London, United Kingdom
- Imperial College Clinical Research Facility
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Adults ≥18years of age
- Diagnosis of T1DM for > 1 year
- Structured education completed in last 3 years and capable of CHO counting
- CBG measured at least twice daily for CGM calibration
- Capacity to follow the protocol and sign the informed consent
- Access to a personal computer/laptop
Exclusion Criteria:
- Severe episode of hypoglycaemia (requiring 3rd party assistance) in last 6 months
- Diabetic ketoacidosis in the last 6 months prior to enrolment
- Impaired awareness of hypoglycaemia (based on Gold score)
- Pregnant or planning pregnancy over time of study procedures
- Breastfeeding
- Enrolled in other clinical trials
- Active malignancy or being investigated for malignancy
- Suspected or diagnosed endocrinopathy like adrenal insufficiency, unstable thyroidopathy, endocrine tumour
- Gastroparesis
- Autonomic neuropathy
- Macrovascular complications (acute coronary syndrome, transient ischaemic attack, cerebrovascular event within the last 12 months prior to enrolment in the study)
- Visual impairment including unstable proliferative retinopathy
- Reduced manual dexterity
- Inpatient psychiatric treatment
- Abnormal renal function test results (calculated GFR <40 mL/min/1.73m2)
- Liver cirrhosis
- Not tributary to optimization to insulin therapy
- Abuse of alcohol or recreational drugs
- Oral steroids
- Regular use of the paracetamol, beta-blockers or any other medication that the investigator believes is a contraindication to the participant's participation.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: ARISES
Observational study using wearable technologies to collect data and evaluate blood glucose correlations against physiological and environmental case parameters.
Useful associations will assist the development of the CBR/machine learning algorithm and identify wearable devices for the final ARISES platform.
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The Adaptive, Real-time, Intelligent System to Enhance Self-care of chronic diseases (ARISES) project will use type 1 diabetes (T1DM) as an exemplary case study to demonstrate safety, technical proof of concept and efficacy of a novel mobile platform.
Combining wearable sensors and smartphone technology, a range of biological, environmental and behavioural data will be analysed to provide real-time therapeutic and lifestyle decision support.
Using Case-Based-Reasoning (CBR), the system will be adaptive and personalised with the ability to learn from previously encountered scenarios.
Ultimately, ARISES aims to empower self-management of chronic illness and limit the complications associated suboptimal treatment.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Time in Range (%)
Time Frame: 6 weeks
|
% time in target range (3.9 - 10 mmol/L) without insulin dose increase
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6 weeks
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 18HH4410
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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