NCT05308095

Brief Summary

To analyse driving behavior of individuals with type 1 diabetes in eu- and mild hypoglycaemia while driving in a real car. Based on the in-vehicle variables, the investigators aim at establishing algorithms capable of discriminating eu- and hypoglycaemic driving patterns using machine learning classifiers.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
10

participants targeted

Target at below P25 for not_applicable diabetes

Timeline
Completed

Started Apr 2022

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

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

March 24, 2022

Completed
8 days until next milestone

First Posted

Study publicly available on registry

April 1, 2022

Completed
12 days until next milestone

Study Start

First participant enrolled

April 13, 2022

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 23, 2022

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 23, 2022

Completed
Last Updated

December 21, 2022

Status Verified

December 1, 2022

Enrollment Period

2 months

First QC Date

March 24, 2022

Last Update Submit

December 20, 2022

Conditions

Keywords

Automotive TechnologyHypoglycemiaHypoglycaemiaDrivingCar

Outcome Measures

Primary Outcomes (1)

  • Diagnostic accuracy of the hypoglycaemia warning system using in-vehicle data to detect hypoglycaemia quantified as the area under the receiver operating characteristics curve (AUROC).

    The machine learning model is developed and evaluated based on in-vehicle data generated in eu- and hypoglycaemia. Detection performance of hypoglycaemia is quantified as AUROC.

    240 minutes

Secondary Outcomes (20)

  • Diagnostic accuracy of the hypoglycaemia warning system using wearable data to detect hypoglycaemia quantified as the area under the receiver operating characteristics curve (AUROC).

    240 minutes

  • Diagnostic accuracy of the hypoglycaemia warning system using in-vehicle data and recordings of the continous glucose monitoring (CGM) system to detect hypoglycaemia quantified as sensitivity and specificity.

    240 minutes

  • Diagnostic accuracy of the hypoglycaemia warning system using wearable data and recordings of the CGM system to detect hypoglycaemia quantified as sensitivity and specificity.

    240 minutes

  • Change in driving features over the glycaemic trajectory.

    240 minutes

  • Change of gaze coordinates over the glycaemic trajectory.

    240 minutes

  • +15 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. Initially, a euglycaemic state (5.0 - 8.0 mmol/L) is established and blood glucose is then declined to hypoglycaemia (3.0 - 3.5 mmol/L) by administering insulin. Thereafter, blood glucose is raised again to euglycaemia (5.0 - 8.0mmol/L). During the procedure, driving data is recorded. Additionally, eye movement, head pose, facial expression, heart rate, skin conductance, and CGM values are recorded throughout the glycemic trajectory. Participants are blinded to the blood glucose values during the procedure.

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)

University Department of Endocrinology, Diabetology, Clinical Nutrition and Metabolism

Bern, Switzerland

Location

Related Publications (1)

  • Berube C, Maritsch M, Lehmann VF, Kraus M, Feuerriegel S, Zuger T, Wortmann F, Stettler C, Fleisch E, Kocaballi AB, Kowatsch T. Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving. JMIR Hum Factors. 2024 Apr 18;11:e46967. doi: 10.2196/46967.

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, Switzerland, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern, Switzerland

    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

March 24, 2022

First Posted

April 1, 2022

Study Start

April 13, 2022

Primary Completion

June 23, 2022

Study Completion

June 23, 2022

Last Updated

December 21, 2022

Record last verified: 2022-12

Data Sharing

IPD Sharing
Will share

Any requests for raw data will be reviewed by the HEADWIND scientific study board comprising the principal investigator (PI) and Co-PI as well as senior researchers leading the involved research groups at University Hospital Bern, Swiss Federal Institute of Technology (ETH) Zurich, and University of St. Gallen. Only applications for non-commercial use will be considered and should be sent to the PI. Applications should outline the purpose for the raw-data transfer. Any data that can be shared will need approval from the HEADWIND scientific study board and a Material Transfer Agreement in place. All data shared will be de-identified.

Shared Documents
ANALYTIC CODE
Access Criteria
Only applications for non-commercial use will be considered and should be sent to the PI.

Locations