The HEADWIND Study - Part 4
Non-randomised, Controlled, Interventional Single-centre Study for the Design and Evaluation of an In-vehicle Hypoglycaemia Warning System in Diabetes The HEADWIND Study Part IV
1 other identifier
interventional
10
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable diabetes
Started Apr 2022
Shorter than P25 for not_applicable diabetes
1 active site
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
CompletedFirst Posted
Study publicly available on registry
April 1, 2022
CompletedStudy Start
First participant enrolled
April 13, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 23, 2022
CompletedStudy Completion
Last participant's last visit for all outcomes
June 23, 2022
CompletedDecember 21, 2022
December 1, 2022
2 months
March 24, 2022
December 20, 2022
Conditions
Keywords
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
EXPERIMENTALInterventions
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.
Eligibility Criteria
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
- Insel Gruppe AG, University Hospital Bernlead
- Swiss Federal Institute of Technologycollaborator
- University of St.Gallencollaborator
Study Sites (1)
University Department of Endocrinology, Diabetology, Clinical Nutrition and Metabolism
Bern, Switzerland
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.
PMID: 38635313DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Christoph Stettler, Prof. MD
Inselspital, Bern University Hospital, University of Bern, Switzerland, Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern, Switzerland
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
- Shared Documents
- ANALYTIC CODE
- Access Criteria
- Only applications for non-commercial use will be considered and should be sent to the PI.
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.