Diabetes MellitusSECONDNCT03545178
Systematic Evaluation of Continuous Glucose Monitoring Data
An observational study of Diabetes Mellitus, run by Insel Gruppe AG, University Hospital Bern at 1 site in Switzerland.
Trial summary
This study retrospectively evaluates continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) data and pursues two main objectives: First, the investigators analyze if glucose values are better controlled in the days directly before a consultation at our tertiary referral centre (so called "white coat… Read more about this study
- Who is it for?
- Ages 16 years and older
- Conditions the study is for
- Diabetes Mellitus
- What is being tested?
- hypoglycemia prediction (Substudy B)
- Type of treatment
- Lifestyle or therapy programme
- How many people
- 384 participants
- Where
- 1 siteSwitzerland
- Study dates
- 1 Apr 2018to 19 Jul 2019
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 16 years and older
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: All patients suffering from diabetes mellitus controlled at our tertiary referral centre using a CGM/FMG device for at least 50% of the time
Who may be able to join
- Diabetes mellitus
- CGM and/or FGM available for at least 50% of the time in last 4 weeks before consultation
- Written informed general consent for the retrospective analysis of data
Who cannot join
- Pregnancy
Trial locations and contacts
1 site in 1 country.
Switzerland1 site
Inselspital, Bern University Hospital, University of Bern
Bern, Canton of Bern, 3010
About this study
Official title: Systematic Evaluation of Continuous Glucose Monitoring Data to for the Development of Clinical Solutions
This study retrospectively evaluates continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) data and pursues two main objectives: First, the investigators analyze if glucose values are better controlled in the days directly before a consultation at our tertiary referral centre (so called "white coat adherence"). Second, the investigators use the collected CGM and FGM data to develop a hypoglycemia prediction model.
Read the detailed description
Substudy A.) Presence of white coat adherence in diabetic patients:
The investigators aim at evaluating the existence of a so called "white coat adherence" with regard to diabetes control, which means that blood-glucose is better controlled in the days immediately prior to a consultation at the diabetes clinic compared to the time-period further back. To analyse this phenomenon, the investigators use continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) of diabetic patients and compare CGM-/FGM data of the last three days prior to the consultation with the CGM-/FGM data of the days 4-28 prior to the consultation, as well as the last seven days prior to the consultation with days 8-28 prior to the consultation.
Substudy B.) Retrospective data collection for the development and evaluation of a hypoglycemia prediction model:
Scope of the study is to use retrospective data for training and evaluation of a deep recurrent neural network based system for predicting the onset of hypoglycemic event at least 20 min ahead in time. The study aims to: I, assess the ability of deep learning algorithm to predict hypoglycemic events using the data collected during substudy 1. II, assess the ability of global model to be personalized using the data collected during sub-study 1. III, investigate the amount of "history" to be involved to achieve maximum performance in terms of prediction ability. IV, develop a global model, which can be easily further personalized to achieve optimum prediction performance per patient.
- Conditions
- Diabetes Mellitus
- Being tested
- glucose control (Substudy A), hypoglycemia prediction (Substudy B)
- Keywords
- white coat adherence, continuous glucose monitoring, flash glucose monitoring, hypoglycemia prediction, deep learning algorithm
- Medical subject headings
- Diabetes Mellitus
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
glucose control (Substudy A)Behavioural
Comparison of glucose values during days 0 - 3 with days 4 - 28 and 0 - 7 with days 8 - 28 before a medical consultation at the diabetes clinic in patients suffering from diabetes and wearing a continuous glucose monitoring and/or flash glucose monitoring device
hypoglycemia prediction (Substudy B)Diagnostic test
Use of CGM/FGM data to develop and evaluate a neural network based hypoglycemia prediction model
| Study group | Role | What they receive |
|---|---|---|
| Diabetic patients using CGM/FGM | Evaluation of glucose control and application of hypoglycemia prediction models in diabetic patients wearing CGM and/or FGM devices for at least 50% of the time during the last 4 weeks prior to the medical consultation. Receives: Behavioral: glucose control (Substudy A); Diagnostic Test: hypoglycemia prediction (Substudy B) |
What is being measured
The primary outcome is the main question the study is designed to answer.
Change of time in target glucose range day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
The time spent in the target glucose range from 3.9 to 10.0 mmol/l assessed by CGM/FGM.
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Hypoglycemia prediction (for Substudy B)
Proportion of times a deep learning based algorithm can predict a hypoglycemic event (BG <4.0 mmol/l) at least 20 min ahead in time?
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Secondary outcomes (7)
Change of time above and below glucose target range day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
The time spent above and below the target glucose (3.9 to 10.0 mmol/l) assessed by CGM/FGM.
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of average and standard deviation glucose day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Average and standard deviation glucose levels based on CGM/FGM data
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Sensor wearing time day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time CGM-/FGM sensor has been worn (%)
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of coefficient of variation (CV) day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Coefficient of variation (CV) based on CGM/FGM data
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of time in hypoglycemia day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
The time with glucose levels < 3.0 based on CGM/FGM data
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of time in hyperglycemia day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
The time with glucose levels in the significant hyperglycaemia, as based on CGM/FGM (glucose levels > 13.9 mmol/l)
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of mean amplitude of glucose excursion (MAGE) day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
The mean amplitude of glucose excursion assessed by CGM/FGM
Measured: 01.01.2013 - 31.07.2018; outcome assessed at study end
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Jun 2018
- Study start1 Apr 2018
- Primary completion19 Jul 2019
- Study completion19 Jul 2019
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Diabetes MellitusStudies of the same condition, open and under way.
- More trials run by Insel Gruppe AG, University Hospital BernThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Retrospective
- Enrolment
- 384 participants (actual)
Sponsor and investigators
- Lead sponsor
- Insel Gruppe AG, University Hospital Bern
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Thomas Zueger, MD, Principal investigator, Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, SwitzerlandChristoph Stettler, Prof., Study director, Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT03545178
- Sponsor's protocol ID
- 2018-00207
- Other IDs
- 2018
- Acronym
- SECOND
- Status last verified
- Aug 2019
- First submitted
- 18 Apr 2018
- Last updated
- 13 Aug 2019
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 13 Aug 2019. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Systematic Evaluation of Continuous Glucose Monitoring Data to for the Development of Clinical Solutions
- ClinicalTrials.gov ID
- NCT03545178
- Acronym / sponsor ID
- SECOND / 2018-00207
- Conditions
- Diabetes Mellitus
- Keywords
- white coat adherence, continuous glucose monitoring, flash glucose monitoring, hypoglycemia prediction, deep learning algorithm
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 384 participants (actual)
- Lead sponsor
- Insel Gruppe AG, University Hospital BernUniversity, hospital or other
- Study start
- 1 Apr 2018 (actual)
- Primary completion
- 19 Jul 2019 (actual)
- Study completion
- 19 Jul 2019 (actual)
- First posted
- 4 Jun 2018 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study retrospectively evaluates continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) data and pursues two main objectives: First, the investigators analyze if glucose values are better controlled in the days directly before a consultation at our tertiary referral centre (so called "white coat adherence"). Second, the investigators use the collected CGM and FGM data to develop a hypoglycemia prediction model.
Detailed description
Substudy A.) Presence of white coat adherence in diabetic patients:
The investigators aim at evaluating the existence of a so called "white coat adherence" with regard to diabetes control, which means that blood-glucose is better controlled in the days immediately prior to a consultation at the diabetes clinic compared to the time-period further back. To analyse this phenomenon, the investigators use continuous glucose monitoring (CGM) and flash glucose monitoring (FGM) of diabetic patients and compare CGM-/FGM data of the last three days prior to the consultation with the CGM-/FGM data of the days 4-28 prior to the consultation, as well as the last seven days prior to the consultation with days 8-28 prior to the consultation.
Substudy B.) Retrospective data collection for the development and evaluation of a hypoglycemia prediction model:
Scope of the study is to use retrospective data for training and evaluation of a deep recurrent neural network based system for predicting the onset of hypoglycemic event at least 20 min ahead in time. The study aims to: I, assess the ability of deep learning algorithm to predict hypoglycemic events using the data collected during substudy 1. II, assess the ability of global model to be personalized using the data collected during sub-study 1. III, investigate the amount of "history" to be involved to achieve maximum performance in terms of prediction ability. IV, develop a global model, which can be easily further personalized to achieve optimum prediction performance per patient.
Study design
- Observational model
- Cohort
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Diabetic patients using CGM/FGM | – | Behavioral: glucose control (Substudy A), Diagnostic Test: hypoglycemia prediction (Substudy B)Evaluation of glucose control and application of hypoglycemia prediction models in diabetic patients wearing CGM and/or FGM devices for at least 50% of the time during the last 4 weeks prior to the medical consultation. |
Who may qualify
- Ages
- 16 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- All patients suffering from diabetes mellitus controlled at our tertiary referral centre using a CGM/FMG device for at least 50% of the time
Key inclusion criteria (3 listed)
- Diabetes mellitus
- CGM and/or FGM available for at least 50% of the time in last 4 weeks before consultation
- Written informed general consent for the retrospective analysis of data
Key exclusion criteria (1 listed)
- Pregnancy
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| glucose control (Substudy A)Comparison of glucose values during days 0 - 3 with days 4 - 28 and 0 - 7 with days 8 - 28 before a medical consultation at the diabetes clinic in patients suffering from diabetes and wearing a continuous glucose monitoring and/or flash glucose monitoring device | Behavioural | Diabetic patients using CGM/FGM |
| hypoglycemia prediction (Substudy B)Use of CGM/FGM data to develop and evaluate a neural network based hypoglycemia prediction model | Diagnostic test | Diabetic patients using CGM/FGM |
Primary outcome
Change of time in target glucose range day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
The time spent in the target glucose range from 3.9 to 10.0 mmol/l assessed by CGM/FGM.
Hypoglycemia prediction (for Substudy B)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Proportion of times a deep learning based algorithm can predict a hypoglycemic event (BG <4.0 mmol/l) at least 20 min ahead in time?
7 secondary outcomes
Change of time above and below glucose target range day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of average and standard deviation glucose day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Sensor wearing time day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of coefficient of variation (CV) day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of time in hypoglycemia day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of time in hyperglycemia day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Change of mean amplitude of glucose excursion (MAGE) day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A)
Time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 13 Aug 2019.
- Individual participant dataSharing planned: Undecided
Related trials for Diabetes Mellitus
Not yet recruitingPhase 3
Efficacy and Safety of Once-Weekly SHR-3167 Compared With Once-Daily Insulin Glargine in Adults With Insulin-Naive Type 2 Diabetes
Type 2 Diabetes
Active, not recruiting
Digital Reinforcement of Motivational Interviewing Micro-Skills Among Primary Care Healthcare Professionals
Hypertension (Without Type 2 Diabetes Mellitus)
Recruiting
Effects of Lean Pork Loin Intake on Protein Homeostasis and Glucose Regulation in Prediabetic Adults
Hyperglycaemia (Non Diabetic), Prediabetes
Recruiting
PAW-Hydrogel for Chronic Wound Healing
Diabetic Foot Ulcer (DFU), Pressure Ulcer (PU)
Recruiting
Investigating Vascular Properties of HEMI and SPG Signals in Individuals With or at Risk for Chronic Kidney Disease
Chronic Kidney Disease, Hypertension (HTN)
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Thomas Zueger, MD principal investigator
Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
Christoph Stettler, Prof. study director
Department of Diabetes, Endocrinology, Clinical Nutrition and Metabolism, Inselspital, Bern University Hospital, University of Bern, 3010 Bern, Switzerland
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Diabetes Mellitus, run by Insel Gruppe AG, University Hospital Bern at 1 site in Switzerland.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 13 Aug 2019. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Switzerland. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change of time in target glucose range day 0-3 compared to day 4-28 and day 0-7 compared to day 8-28 prior to consultation (for Substudy A) (time frame: 01.01.2013 - 31.07.2018; outcome assessed at study end). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 13 Aug 2019.