Glucose Control Using Continuous Glucose Monitoring in People With Type 2 Diabetes Who Have Had Acute Myocardial Infarct — GLAM  

Type 2 Diabetes Clinical Trial

Official title: Glucose Monitoring After Acute Myocardial Infarct in People With Diabetes

Status Recruiting

Clinical Trial Summary

Glucose monitoring after Acute Myocardial infarct in people with diabetes is a Dexcom funded study that is investigating whether the use of continuous glucose monitors (Dexcom ONE model) in people with type 2 diabetes facilitates time in glycaemic range in the 6 months after an acute myocardial infarction. As an exploratory outcome it will investigate whether time in glycaemic range is associated with changes in mortality and major adverse cardiac events in the 6 months after acute myocardial infarct.

Clinical Trial Description

The study

1. Patients recruited from cardiology services after ACS (n=140 participants)

Following informed consent study participants with known diabetes who have had an acute myocardial infarct will be recruited. Participants will be randomly allocated to either the intervention group, referred to as cohort 'a', or to the control group, referred to cohort 'b'. They will be randomised using permuted blocks in a 5:2 ratio (intervention:control). CGM (real-time or blinded) will be applied to participants prior to discharge.

Following hospital discharge, we will evaluate the effects of changes in blood glucose levels on cardiac and health outcomes. Participants recruited to cohort 'a' will wear real-time CGM continuously after hospital discharge for 26 weeks. They will have face-to-face, telephone or video reviews of CGM data at 4 and 12 weeks with clinician-led diabetes treatment escalation according to NICE guidelines based aiming for >70% time in target blood glucose range, 3.9-10mmol/L (50% for older or high risk individuals). Participants recruited to cohort 'b' will wear blinded CGM for 10 days after insertion. They will wear blinded CGM again for 10 days , with the second sensor insertion at days 17-23, third sensor insertion during week 10 and fourth sensor insertion during week 24. Following each sensor wear, participants in cohort 'b' will have a study visit when their sensor data will be downloaded. Participants in cohort 'b' will receive face-to-face or remote support to insert and establish blinded CGM but no clinical review and the participant should manage their diabetes as the participant normally would. At 26 weeks data will be analysed for all primary and secondary outcomes.

The participants who receive real-time CGM will be compared to age and sex-matched controls, who's data will be obtained from the NIHR Cardiovascular Health Informatics Collaborative for comparison of cardiovascular outcomes.

At 26 weeks data (clinical details of hospital admissions, further cardiac events, medication changes, blood test results obtained from hospital records and on discussion with the participant) will be collected for all primary and secondary outcomes. Imperial College Healthcare NHS Trust uses an electronic patient record system that is connected to the central NHS Spine and is updated in real-time. People who have died, even if the person has died out of hospital, will be recorded as deceased and this will be visible to the research team. End of study will be defined as Last Subject Last Visit (LSLV) at which point the participant will be asked to return or post back their study equipment and the participant will revert to standard care with their usual GP, community or hospital diabetes team.

Eligible participants admitted to the Hammersmith Hospital HAC with confirmed ACS will be recruited as soon as possible after hospital admission. Patients lacking capacity to consent will not be recruited. During admission, HbA1c levels will be sent as part of routine blood testing.

The research team will collect full medical and medication history, as well as historic bloods test results from the hospital computer systems as per routine clinical care. All participants recruited during their hospital admission will have blood tests (for HbA1c and other markers of metabolism) during admission and at 4, 12 and 24-26 weeks.

Participants in cohorts 'a' and 'b' will be asked to complete the Diabetes Treatment Satisfaction Scale questionnaire, the Audit of Diabetes Dependent Quality of Life questionnaire and the Hypoglycaemia Symptom Rating Questionnaire at the time of recruitment, and then at 4, 12, and 24 weeks. Participants will also be asked to fill out an Audit of Diabetes Dependent Quality of Life-19 questionnaire at the time of recruitment and at 12 and 24 weeks.

2. Patients recruited from diabetes and cardiology clinics after ACS (n=20 participants)

Eligible participants reviewed in clinic with confirmed previous ACS will be recruited. Patients lacking capacity to consent will not be recruited. HbA1c levels will be sent as part of routine blood testing. The research team will collect full medical and medication history, as well as historic bloods test results from the hospital computer systems as per routine clinical care.

Blinded CGM will be applied to 20 participants with a history of ACS more than 6 months ago, but less than 10 years ago and a known diagnosis of type 2 diabetes who take one or oral diabetic agents, and/or GLP 1 receptor analogue, and/or insulin. The blinded CGM will be worn for 10 days and then returned to (or collected by) the study team.

These participants be asked to complete a Diabetes Treatment Satisfaction Scale questionnaire, the Audit of Diabetes Dependent Quality of Life questionnaire and the Hypoglycaemia Symptom Rating Questionnaire at the time of recruitment. The participants will have a blood test looking at glycaemic control and markers of metabolism at the time of recruitment.

3. Data collection from the Health Information Collaborative

The participants who receive real-time CGM will be compared to age and sex-matched controls, who's data will be obtained from the NIHR Cardiovascular Health Informatics Collaborative for comparison of cardiovascular outcomes. Imperial College Healthcare NHS Trust has led the NIHR Cardiovascular Health Informatics Collaborative, which was established to enable the sharing and repurposing of routinely captured clinical data for re-use in research. Clinical patient data is extracted and put into a tabular format which includes demographics, emergency department attendance, inpatient episodes, blood tests, diagnoses, operations and procedures, echocardiography measurements and survival status. This infrastructure has been used to investigate patient outcomes in previous studies and will provide endpoint data for the patients enrolled into this study.

2. Clinical study recruitment: Single Centre- Imperial College Healthcare NHS Trust Design:

Randomised control trial

Population:

Interventional cohort: 100 participants with type 2 diabetes and acute myocardial infarction will wear real time CGM for 26 weeks Control: 40 participants with type 2 diabetes and acute myocardial infarction will wear blinded CGM for 10 days at 4 time points in the 6 months after infarct.

Clinic cohort: 20 participants with type 2 diabetes who have had a myocardial infarct > 6 months ago but <10 years ago will wear blinded CGM for 10 days.

Case control: NIHR Cardiovascular Health Informatics Collaborative dataset

Timescale: Each participant will be in the trial for 6 months. It is anticipated that it will take 18-24 months to recruit to target study number.

3. Statistics The study is powered to detect a change of between 7.2 and 13.2% difference in time in range glucose 3.9-10mmol/l between the real time and blinded CGM groups at 6 months depending the standard deviation used in the power calculation with two tailed alpha of 0.05 and power of 80%. This difference is thought to be a clinically meaningful and achievable difference.

For each questionnaire, mean ± SD values or percentiles appropriate to the distribution will be given by randomization group for the total score and each subscale. Treatment group comparisons will be made using linear models.

The following tabulations will be performed according to treatment group without statistical testing: baseline demographics and clinical characteristics, protocol deviations, device malfunctions and other reported device issue.

For all CGM outcomes, a multilevel model of repeated measures (MMRM) will be used.

4. Data During the course of the study visits some data will be stored on laptop computers, not connected to the Internet, for later statistical analysis. These data will be coded and non- identifiable. Laptop computers may be used during the visits for portability and convenience. At the end of each visit the anonymised data will be transferred immediately to a secure web-server (details below) and will be deleted from the laptop.

Any identifiable participant data will be stored in a locked filing cabinet in a secure room in each investigation centre. Only clinical research team will have access to this participant identifiable data.

5. Adverse Events (AEs) Reporting Procedures. All adverse events will be reported. Depending on the nature of the event the reporting procedures below will be followed. Any questions concerning adverse event reporting will be directed to the Chief Investigator in the first instance.

Non serious AEs: All such events will be recorded. Serious Adverse Events (SAEs): An SAE form will be completed and faxed to the Chief Investigator within 24 hours. However, hospitalisations for elective treatment of a pre-existing condition do not need reporting as SAEs.

Reports of related and unexpected SAEs will be submitted within 15 days of the Chief Investigator becoming aware of the event. The Chief Investigator will also notify the Sponsor of all SAEs, where in the opinion of the Chief Investigator, the event is:

'related', i.e. resulted from the administration of any of the research procedures; and 'unexpected', i.e. an event that is not listed in the protocol as an expected occurrence Local investigators will report any SAEs as required by their Local Research Ethics Committee, Sponsor and/or Research & Development Office. ;

Related Conditions & MeSH terms

• Acute Myocardial Infarction
• Acute Myocardial Infarction With ST Elevation
• Diabetes Complications
• Diabetes Mellitus
• Diabetes Mellitus, Type 2
• Infarction
• Myocardial Infarction
• ST Elevation Myocardial Infarction
• Type 2 Diabetes

• NCT number: NCT05431296
• Study type: Interventional
• Source: Imperial College London
• Contact: Neil Hill, BMBS, PhD
• Phone: 02033111016
• Email: neil.hill@nhs.net
• Status: Recruiting
• Phase: N/A
• Start date: February 7, 2023
• Completion date: February 2025