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Investigating the Relationship Between Nocturnal Glucose Levels and Motion During Sleep

Completed
Conditions
Diabetes
Hypoglycemia
Hyperglycemia
Registration Number
NCT05609175
Lead Sponsor
University of Bern
Brief Summary

In this study the investigators will explore whether the motion during sleep of people with diabetes changes as a function of the blood glucose levels. The motion will be assessed with a radar sensor, a thermal camera, and wrist worn smartwatches. Additionally, participants will answer a short daily questionnaire. Data will be collected for 10 days and analyzed at the end of the study.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
37
Inclusion Criteria
  • Informed consent as documented by signature
  • Age ≥ 18 years
  • Patients at the outpatient clinics or from a referring diabetologist with a diagnostic CGM according to best medical practice
  • Patients with diabetes mellitus on an insulin therapy or with non-insulin antidiabetic medication with the potential to induce hypoglycemia
  • HbA1c value between 6% and 10% (inclusive) within 6 months prior to inclusion
Exclusion Criteria
  • Wearables cannot be attached around the wrist of the patient
  • Known allergies to components of the wearables
  • Female subjects: pregnancy, lactation period, lack of a negative urine pregnancy test (except in case of menopause, sterilization or hysterectomy), or unwilling to use a contraception during the study (for sexually active subjects of childbearing potential)
  • Known cardiac arrhythmia (e.g., atrial flutter or fibrillation, Atrioventricular-reentry tachycardia, Atrioventricular block > grade 1)
  • Pacemaker or ICD (implantable cardioverter defibrillator)
  • Treatment with antiarrhythmic drugs or beta-blockers
  • 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
  • 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
  • Any illness or use of medications that could affect sleep patterns (including sleep apnea)
  • Dependency from the sponsor or the clinical investigator
  • Participation in another investigation with an investigational drug or a pre-market medical device within the 30 days preceding and during the present investigation

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Area under the receiver operator characteristics curve (AUROC) in detecting nocturnal level 1 hypoglycemia based on motion data obtained by radar signalsFor the entire wear time of the diagnostic continuous glucose monitor (CGM), up to 10 days

Level 1: glucose \< 3.9 mmol/L

Motion data obtained from radar signals

Secondary Outcome Measures
NameTimeMethod
Correlation coefficient between nocturnal glucose levels and motionFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Nocturnal glucose will be measured with a CGM and motion will be measured with the radar signal as the average of detected points in the 3D point cloud from the radar sensor

Correlation coefficient between nocturnal glucose levels and physiological dataFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Nocturnal glucose will be measured with a CGM and physiological data, i.e., heart rate, heart rate variability, respiratory rate, will be gathered from smartwatches.

Correlation coefficient between nocturnal glucose levels and physiological data and radar dataFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Nocturnal glucose will be measured with a CGM and physiological data, i.e., heart rate, heart rate variability, respiratory rate, will be gathered from smartwatches. Motion will be measured with the radar signal as the average dispersion index across all range bins in the range-doppler map or the average of detected points in the 3D point cloud from the radar sensor

Time spent in euglycemiaFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM. Euglycemia is defined as 4.0 - 10.0 mmol/L. The time will be illustrated as percent of CGM measurements within this range.

Time spent below 3.9 mmol/LFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM. The time will be illustrated as percent of CGM measurements.

Time spent below 3.0 mmol/LFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM. The time will be illustrated as percent of CGM measurements.

Course of nocturnal hypoglycemia symptoms according to thermal camera measurements and/or physiological dataFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days
Glucose level at start of hyperglycemia symptomsFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Measured by CGM

Time spent above 10.0 mmol/LFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM. The time will be illustrated as percent of CGM measurements.

Time spent above 13.9 mmol/LFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM. The time will be illustrated as percent of CGM measurements.

Course of nocturnal glucose levelsFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM in mmol/L

Course of nocturnal motion according to thermal camera measurementsFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose will be measured with a CGM and thermal camera measurements

AUROC in detecting nocturnal hyperglycemia, nocturnal level 1 and level 2 hypoglycemia based on motion data, physiological data, and Artificial IntelligenceFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Level 1: glucose \< 3.9 mmol/L

Level 2: glucose \< 3 mmol/L motion data extracted from radar signals

AUROC in classifying motion patterns according to thermal camera measurements based on motion data, physiological data, and Artificial IntelligenceFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Motion data extracted from radar signals

Glucose level at start of hypoglycemia symptomsFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Measured by CGM

AUROC in detecting nocturnal hyperglycemia based on motion data (radar signals)For the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose \> 10.0 mmol/L

AUROC in detecting nocturnal level 2 hypoglycemia based on motion dataFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Glucose \< 3 mmol/L

Motion data extracted from radar signals

AUROC in classifying nocturnal dysglycemia symptoms based on motion data, physiological data, and Artificial IntelligenceFor the entire wear time of the diagnostic continuous glucose monitor, up to 10 days

Dysglycemia: \<4.0 and \>10.0 mmol/L

Motion data extracted from radar signals

Trial Locations

Locations (1)

Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital Bern, University and University Hospital Bern

🇨🇭

Bern, Switzerland

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