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Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease (ARISES)

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ClinicalTrials.gov Identifier: NCT03643692
Recruitment Status : Completed
First Posted : August 23, 2018
Last Update Posted : October 10, 2019
Sponsor:
Information provided by (Responsible Party):
Imperial College London

Brief Summary:
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.

Condition or disease Intervention/treatment Phase
Diabetes Mellitus, Type 1 Device: ARISES Not Applicable

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.


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Study Type : Interventional  (Clinical Trial)
Actual Enrollment : 12 participants
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Device Feasibility
Official Title: Adaptive, Real-time, Intelligent System to Enhance Self-care of Chronic Disease
Actual Study Start Date : February 26, 2019
Actual Primary Completion Date : July 1, 2019
Actual Study Completion Date : July 1, 2019

Resource links provided by the National Library of Medicine


Arm Intervention/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.
Device: ARISES
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.




Primary Outcome Measures :
  1. Usability Questionnaire [ Time Frame: 6 weeks ]
    Data Collection



Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years and older   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   No
Criteria

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.

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT03643692


Locations
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United Kingdom
Imperial College Clinical Research Facility
London, United Kingdom
Sponsors and Collaborators
Imperial College London
Investigators
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Principal Investigator: Nick Oliver Imperial College London

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Responsible Party: Imperial College London
ClinicalTrials.gov Identifier: NCT03643692     History of Changes
Other Study ID Numbers: 18HH4410
First Posted: August 23, 2018    Key Record Dates
Last Update Posted: October 10, 2019
Last Verified: October 2019
Individual Participant Data (IPD) Sharing Statement:
Plan to Share IPD: No

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Studies a U.S. FDA-regulated Drug Product: No
Studies a U.S. FDA-regulated Device Product: No
Keywords provided by Imperial College London:
Diabetes Mellitus
blood glucose
environmental case parameters
Additional relevant MeSH terms:
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Diabetes Mellitus
Diabetes Mellitus, Type 1
Chronic Disease
Glucose Metabolism Disorders
Metabolic Diseases
Endocrine System Diseases
Autoimmune Diseases
Immune System Diseases
Disease Attributes
Pathologic Processes