NCT04035993

Brief Summary

To analyse driving behavior of individuals with type 1 diabetes in eu- and progressive hypoglycaemia using a validated research driving simulator. Based on the driving variables provided by the simulator the investigators aim at establishing algorithms capable of discriminating eu- and hypoglycemic driving patterns using machine learning neural networks (deep machine learning classifiers).

Trial Health

87
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
26

participants targeted

Target at below P25 for not_applicable diabetes

Timeline
Completed

Started Oct 2019

Shorter than P25 for not_applicable diabetes

Geographic Reach
1 country

1 active site

Status
completed

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

June 5, 2019

Completed
2 months until next milestone

First Posted

Study publicly available on registry

July 29, 2019

Completed
2 months until next milestone

Study Start

First participant enrolled

October 7, 2019

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 2, 2020

Completed
4 days until next milestone

Study Completion

Last participant's last visit for all outcomes

July 6, 2020

Completed
Last Updated

June 8, 2021

Status Verified

June 1, 2021

Enrollment Period

9 months

First QC Date

June 5, 2019

Last Update Submit

June 2, 2021

Conditions

Keywords

Automotive TechnologyHypoglycemiaHypoglycaemiaDrivingDriving simulator

Outcome Measures

Primary Outcomes (1)

  • Accuracy of the HEADWIND-model: Diagnostic accuracy of the hypoglycaemia warning system (HEADWIND) to detect hypoglycaemia (blood glucose <3.9mmol/l and <3.0mmol/l) quantified as the area under the receiver operator characteristics curve (AUC ROC).

    Accuracy of the HEADWIND-model will be assessed using driving data recorded in progressive hypoglycemia and driving data will be analysed using applied machine learning technology for hypoglycemia detection.

    240 minutes

Secondary Outcomes (38)

  • Change of time driving over midline

    240 minutes

  • Change of swerving

    240 minutes

  • Change of spinning

    240 minutes

  • Defining the glycemic level when driving performance is decreased

    240 minutes

  • Driving performance before and after hypoglycemia

    240 minutes

  • +33 more secondary outcomes

Study Arms (1)

Intervention group

EXPERIMENTAL
Other: Controlled hypoglycaemic state while driving with a driving simulator

Interventions

Patients will arrive in the morning after an overnight fast. During the controlled hypoglycaemic state, participants will drive on a designated circuit using a driving simulator. Initially, euglycaemic state (5.0-8.0 mmol/L) will be kept stable and then blood glucose will be declined progressively targeting at a level between 2.0-2.5mmol/L by administering an insulin bolus. Glucose will be kept stable at the hypoglycaemic level for 30 minutes. Thereafter, it will be raised again and kept stable for another 30 minutes at an euglycaemic level between 5.0-8.0mmol/L. During the procedure, we will analyse counterregulatory hormones. Heart rate, skin conductance, CGM values, eye movement and facial expression, will be recorded by a smart-watch, a CGM device, an eye-tracker and an onboard camera, respectively. Participants will be blinded to the glucose values during the procedure. They will have to rate their symptoms and their performance on a 0-6 scale every 15 minutes.

Intervention group

Eligibility Criteria

Age21 Years - 50 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Informed Consent as documented by signature (Appendix Informed Consent Form)
  • DM1 as defined by WHO for at least 1 year or is confirmed C-peptide negative (\<100pmol/l with concomitant blood glucose \>4 mmol/l)
  • Subjects aged between 21-50 years
  • HbA1c ≤ 8.5 % based on analysis from central laboratory
  • Functional insulin treatment with insulin pump therapy (CSII) or basis-bolus insulin for at least 3 months with good knowledge of insulin self-management

You may not qualify if:

  • Contraindications to the drug used to induce hypoglycaemia (insulin aspart), known hypersensitivity or allergy to the adhesive patch used to attach the glucose sensor
  • Women who are pregnant or breastfeeding
  • Intention to become pregnant during the study
  • Lack of safe contraception, defined as: Female participants of childbearing potential, not using and not willing to continue using a medically reliable method of contraception for the entire study duration, such as oral, injectable, or implantable contraceptives, or intrauterine contraceptive devices, or who are not using any other method considered sufficiently reliable by the investigator in individual cases.
  • Other clinically significant concomitant disease states as judged by the investigator (e.g., renal failure, hepatic dysfunction, cardiovascular disease, etc.)
  • Known or suspected non-compliance, drug or alcohol abuse
  • Inability to follow the procedures of the study, e.g. due to language problems, psychological disorders, dementia, etc. of the participant
  • Participation in another study with an investigational drug within the 30 days preceding and during the present study
  • Previous enrolment into the current study
  • Enrolment of the investigator, his/her family members, employees and other dependent persons
  • Total daily insulin dose \>2 IU/kg/day.
  • Specific concomitant therapy washout requirements prior to and/or during study participation
  • Physical or psychological disease is likely to interfere with the normal conduct of the study and interpretation of the study results as judged by the investigator (especially coronary heart disease or epilepsy).
  • Current treatment with drugs known to interfere with metabolism (e.g. systemic corticosteroids, statins etc.) or driving performance (e.g. opioids, benzodiazepines)
  • Only for the main-study: Patients not capable of driving with the driving simulator or patients experiencing motion sickness during the simulator test driving session (at visit 2).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University Department of Endocirnology, Diabetology, Clinical Nutrition and Metabolism

Bern, Switzerland

Location

Related Publications (1)

  • Berube C, Lehmann VF, Maritsch M, Kraus M, Feuerriegel S, Wortmann F, Zuger T, Stettler C, Fleisch E, Kocaballi AB, Kowatsch T. Effectiveness and User Perception of an In-Vehicle Voice Warning for Hypoglycemia: Development and Feasibility Trial. JMIR Hum Factors. 2024 Jan 9;11:e42823. doi: 10.2196/42823.

MeSH Terms

Conditions

Diabetes MellitusDiabetes Mellitus, Type 1Hypoglycemia

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System Diseases

Study Officials

  • Christoph Stettler, Prof. MD

    Inselspital, Bern University Hospital, University of Bern

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

June 5, 2019

First Posted

July 29, 2019

Study Start

October 7, 2019

Primary Completion

July 2, 2020

Study Completion

July 6, 2020

Last Updated

June 8, 2021

Record last verified: 2021-06

Locations