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Analysis of Volatile Organic Compounds in Patients With Type 1 Diabetes in Induced Hypoglycaemia With a Breath Analyser

Not Applicable
Completed
Conditions
Diabetes Mellitus
Metabolic Disease
Glucose Metabolism Disorders
Endocrine System Diseases
Registration Number
NCT05933616
Lead Sponsor
University of Bern
Brief Summary

The breath analysis (BreathSpec® device) data of all participants that were included into the VAARA study (NCT05771090) will be analysed, this includes data from up to 40 breath samples from each of the 10 participants who underwent 2 insulin-induced hypoglycaemic episodes during two visits. The primary objective is to find a possible association between volatile organic compounds (VOCs) measured by the BreathSpec® device and blood glucose. For this we will use descriptive statistics, correlation coefficients, as well as a Principal Component Analysis and a partial least squares discriminant analysis. Furthermore, the time lag between hypoglycaemia onset and change in VOCs will be quantified.

Detailed Description

Not available

Recruitment & Eligibility

Status
COMPLETED
Sex
All
Target Recruitment
10
Inclusion Criteria
  • Written informed consent.
  • Type 1 Diabetes with Multiple daily insulin injection (MDI) or Continuous subcutaneous insulin infusion therapy (CSII) >1 year
  • Age 18 - 50 (inclusive)
  • Caucasian ethnicity
  • BMI between 18.5 and 24.9 kg/m2 (inclusive)
  • Usage of a continuous glucose monitoring (CGM)
Exclusion Criteria
  • Pregnancy or lactation period
  • History of cardiovascular diseases
  • Diabetes-related comorbidities
  • HbA1c >9 %
  • Epilepsy
  • Smoking (last cigarette within past 6 months)
  • Known sensitivity to medical grade adhesives or other skin-related complications, which might influence the outcome.
  • Known sensitivity to Latex.
  • Participation in another investigation with an investigational drug within the 30 days preceding and during the present investigation.

Study & Design

Study Type
INTERVENTIONAL
Study Design
SINGLE_GROUP
Primary Outcome Measures
NameTimeMethod
Changes VOC Patterns over time as gallery plotsDuring the study procedure (approximately 5 hours)

Difference in gallery plots (3D visualization of retention index, drift time, ion current) from selected VOC peaks over time.

Correlation between blood glucose and patternsDuring the study procedure (approximately 5 hours)

Signals will be classified into euglycemic (between 4 and 10 mmol/l), hypoglycaemic (smaller than 4 mmol/l) and hyperglycaemic (above 10 mmol/l) phases or stable and changing phases. A principal component analysis (PCA) of the data will be performed to identify which VOCs are characteristic for certain glucose levels. A partial least squares discriminant analysis (PLS-DA) will be used to further identify important features of the VOC fingerprints.

Changes VOC Patterns over time as boxplotsDuring the study procedure (approximately 5 hours)

Difference in box plots from selected VOC peaks over time.

Secondary Outcome Measures
NameTimeMethod
Association between the onset of change in glucose, vital signs and VOC spectraDuring the study procedure (approximately 5 hours)

Associations between changes in VOCs and perceived hypoglycaemic symptoms, heart rate, ECG, and oxygen saturation will be evaluated using correlation coefficients and mixed effects models.

Time lagDuring the study procedure (approximately 5 hours)

The time lag between hypoglycaemia onset and change in VOCs will be calculated-

Trial Locations

Locations (1)

University of Bern

🇨🇭

Bern, Switzerland

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