NCT04569630

Brief Summary

To analyse driving behavior of individuals with type 1 diabetes in eu- and progressive hypoglycaemia while driving in a real car. Based on the driving variables provided by the car 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
22

participants targeted

Target at below P25 for not_applicable diabetes

Timeline
Completed

Started Oct 2020

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

September 17, 2020

Completed
13 days until next milestone

First Posted

Study publicly available on registry

September 30, 2020

Completed
1 day until next milestone

Study Start

First participant enrolled

October 1, 2020

Completed
8 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

May 27, 2021

Completed
1 day until next milestone

Study Completion

Last participant's last visit for all outcomes

May 28, 2021

Completed
Last Updated

June 29, 2021

Status Verified

June 1, 2021

Enrollment Period

8 months

First QC Date

September 17, 2020

Last Update Submit

June 28, 2021

Conditions

Keywords

Automotive TechnologyHypoglycemiaHypoglycaemiaDrivingCar

Outcome Measures

Primary Outcomes (1)

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

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

    240 minutes

Secondary Outcomes (47)

  • Change of swerving

    240 minutes

  • Change of spinning

    240 minutes

  • Change of velocity

    240 minutes

  • Change of steer

    240 minutes

  • Change of brake

    240 minutes

  • +42 more secondary outcomes

Study Arms (1)

Intervention group

EXPERIMENTAL
Other: Controlled hypoglycaemic state while driving

Interventions

Participants will drive on a designated circuit with a real car on a test track accompanied by a driving instructor. Driving data will be recorded in 4 subsequent glycemic states using an adapted hypoglycemic clamp protocol: euglycemia (d1, 5-8 mmol/l), progressive hypoglycaemia (d2, declining from 4.5 to 2.5 mmol/l), stable hypoglycemia (d3, 2.0-2.5 mmol/l), and again in euglycaemia (d4, 5-8 mmol/l). Patients will be blinded to their glucose levels.

Intervention group

Eligibility Criteria

Age21 Years - 60 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64)

You may qualify if:

  • Informed consent as documented by signature
  • Type 1 Diabetes mellitus as defined by WHO for at least 1 year or confirmed C-peptide negative (\<100pmol/l with concomitant blood glucose \>4 mmol/l)
  • Age between 21-60 years
  • HbA1c ≤ 9.0 %
  • Functional insulin treatment with good knowledge of insulin self- management
  • Active driving in the last 6 months.

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.
  • Pregnancy or intention to become pregnant during the course of the study, lactating women or lack of safe contraception
  • Other clinically significant concomitant disease states as judged by the investigator
  • Physical or psychological disease likely to interfere with the normal conduct of the study and interpretation of the study results as judged by the investigator
  • Renal failure
  • Hepatic dysfunction
  • Coronary heart disease
  • Other cardiovascular disease
  • Epilepsy
  • 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
  • Total daily insulin dose \>2 IU/kg/day
  • Specific concomitant therapy washout requirements prior to and/or during study participation
  • Current treatment with drugs known to interfere with metabolism or driving performance

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism

Bern, Switzerland

Location

MeSH Terms

Conditions

Diabetes MellitusDiabetes Mellitus, Type 1HypoglycemiaCarney Complex

Condition Hierarchy (Ancestors)

Glucose Metabolism DisordersMetabolic DiseasesNutritional and Metabolic DiseasesEndocrine System DiseasesAutoimmune DiseasesImmune System DiseasesMyxomaNeoplasms, Connective TissueNeoplasms, Connective and Soft TissueNeoplasms by Histologic TypeNeoplasmsHeart NeoplasmsThoracic NeoplasmsNeoplasms by SiteHeart DiseasesCardiovascular DiseasesAbnormalities, MultipleCongenital AbnormalitiesCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesSkin Abnormalities

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

September 17, 2020

First Posted

September 30, 2020

Study Start

October 1, 2020

Primary Completion

May 27, 2021

Study Completion

May 28, 2021

Last Updated

June 29, 2021

Record last verified: 2021-06

Locations