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QT Interval Abnormalities in Sulfonylurea Treated Type 2 Diabetes: Relationship to Treatment Induced Hypoglycaemia

QT Interval Abnormalities in Sulfonylurea Treated Type 2 Diabetes: Relationship to Treatment Induced Hypoglycaemia and Glycaemic Variability Determined by Simultaneous Ambulatory Monitoring

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02298803
Enrollment
30
Registered
2014-11-24
Start date
2015-01-31
Completion date
2016-01-31
Last updated
2018-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Diabetes Related Complications

Brief summary

Hypoglycaemia is the most common acute complication of diabetes and can limit therapeutic efforts to improve glycaemic control. It is a potential side effect of drugs used to treat diabetes, particularly with the use of sulfonylurea (SU) treatment. It has been demonstrated that hypoglycaemia causes the prolongation of corrected QT (QTc) interval, which is associated with ventricular arrhythmias and sudden death. Hypoglycaemia in T2DM has recently come into focus with the results of the ACCORD, ADVANCE and VADT trials. In this study, the investigators aim to examine the association of hypoglycaemia and glucose fluctuations on QT-interval and QT variability in patients with type 2 diabetes treated with SU. Patients will be studied using simultaneous Continuous Glucose Monitoring (CGM) and ambulatory ECG monitoring (Holter). Study participants will be recruited from the Diabetes Centre, RPAH or from specialist consulting rooms. They will be required to attend the Diabetes Centre on two occasions. At the first visit, blood will be collected and CGM and Holter monitoring commenced. At Visit 2, i.e. two days later, the patient will return to the Diabetes Centre to have the equipment removed. The data obtained from the CGM and Holter monitor will then be downloaded for review and analysis.

Detailed description

Background/Scientific Basis: Hypoglycaemia is the most common acute complication of diabetes and can limit therapeutic efforts to improve glycaemic control. It is a potential side effect of the drugs used to treat diabetes, particularly with the use of exogenous insulin or insulin secretagogues, such as sulfonylurea (SU) treatment. As many people are prescribed these agents, hypoglycaemia is frequent in clinical practice, particularly as treatment targets have become more stringent. Several studies have demonstrated that insulin-induced hypoglycaemia causes prolongation of corrected QT (QTc) interal (Chugh et al), which is associated with ventricular arrhythmias and sudden death, perhaps as a result of hypokalaemia and an increase in serum catecholamines. Cardiac effects of hypoglycaemia are usually associated with type 1 diabetes and insulin therapy. Hypoglycaemia in type 2 diabetes (T2DM) on oral agents has not, until recently, been considered to be as serious. Recently, hypoglycaemia in T2Dm has come in into focus since the salutary results of the ACCORD, ADVANCE and VADT trails, each of which implicated hypoglycaemia as a cause for increased death. The majority of excess deaths in the intensive treatment group of ACCORD were classified as sudden cardiac death. There is now a growing body of evidence that hypoglycaemia is a pro-arrhythmic event via QT prolongation and particularly in the context of myocardial ischemia which reduces the tolerance of myocardial tissue for the further pro-arrhythmic action of hypoglycaemia. It is notable that hypoglycaemia occurs commonly in those using SU. For example in the UK Hypoglycaemia Study (UK Hypoglycaemia Study Group) , 7% of individuals treated with SUs had at least one episode of severe (requiring external assistance) hypoglycaemia and the proportion reporting at least one mild (symptomatic, self-treated) episode was 39%, a rate comparable to insulin treatment. Furthermore, the SU receptor functions as the regulatory subunit of the adenosine triphosphate (ATP)-sensitive potassium (KATP) channel. KATP channels are widely expressed in the heart and vascular smooth muscle cells. There have been long-held concerns that SU effects on these channels may affect ischaemic preconditioning (Cleveland et al), a protective mechanism in the myocardium. This may represent an additive deleterious impact specific to SUs in a hypoglycaemic setting. Despite these theoretical concerns associated with SU treatment the pro-arrhythmic effects of SU induced hypoglycaemia have not previously been easy to study in ambulatory patients. Now the dual ambulatory technologies of CGMS (Maia et al) and ambulatory ECG (Holter) monitoring provide an opportunity to examine this potential association under real life conditions. Even in the absence of absolute QT prolongation, there is evidence that beat-to-beat QT variability is also a risk marker for sudden death and ventricular arrhythmia (Piccirillo et al). Additionally, glucose variability may also have an impact on cardiac tissue. Habituation to chronic hyperglycaemia could lead to a situation where a sudden decrease to plasma glucose leads to changes in QT interval, even when the glucose falls within the normal range (relative hypoglycaemia). A pilot study in our institution of 14 individuals on insulin (3 with T1DM and 11 with T2DM) showed statistically significant prolongation of QTc during periods of hypoglycaemia. The mean difference in QTc during hypos was 7.8ms (p\<0.05). An inverse relationship between the magnitude of increase in QTs during hypoglycaemia and baseline QTc was found. The limitations of the pilot study are that it was restricted to those subjects treated with insulin and that relative hypoglycaemia and QT variability were not analysed. Hypothesis: Sulfonylurea induced hypoglycaemia and/or fluctuations in glucose are pro-arrhythmic by prolonging the QTc interval and/or increasing beat-to-beat QTc variability. It is expected that the QT interval will be significantly longer during the hypoglycemic periods compared to the non-hypoglycemic periods in patients in T2DM treated with SU. Aims: To examine the association of hypoglycaemia and glucose fluctuations on QT-interval and QT variability in patients with type 2 diabetes treated with SU. Patients will be studied using simultaneous Continuous Glucose Monitoring (CGM) and ambulatory ECG monitoring (Holter). Potential Significance: The information gained from this study has the potential to improve our understanding of the relationship between hypoglycaemia and cardiac arrhythmia in patients with diabetes. Recruitment Process: Patients with type 2 diabetes attending the Diabetes Centre, Royal Prince Alfred Hospital who fulfils the entry criteria will be approached to participate in this study. They will be approached either when they attend the Diabetes Centre for treatment, or by means of a telephone call. The requirements of the study will be discussed with each potential participant and they will be given a copy of the Participant Information Sheet and Consent Form to take home and read. The proposed number of participants for this study is approximately 30 individuals. Research Interventions: 1. Blood Collection 2. Continuous Glucose Monitoring 3. Home Blood Glucose Monitoring 4. Holter Monitor Risk and Side Effects: We do not anticipate any adverse events associated with study participation. However, there may be some mild discomfort and/or bruising at the site of blood collection, or insertion of the glucose sensor for CGM, or skin irritation from the ECG adhesive tapes required for Holter monitoring.

Interventions

DEVICEHolter and Glucose monitoring

(i) Continuous Glucose Monitoring A sterile disposable glucose-sensing sensor will be inserted into the subcutaneous tissues in either the abdomen or the upper outer quadrant of the patient's buttock. This sensor automatically measures the change in glucose in interstitial fluid every 5 minutes. The monitor will be worn for two days. (ii)Holter Monitoring The Holter monitor to capture cardiac conduction, specifically QT interval, will be worn for the same period as the continuous glucoe monitor with study participants encouraged to perform regular daily activities.

Sponsors

Merck Sharp & Dohme LLC
CollaboratorINDUSTRY
Royal Prince Alfred Hospital, Sydney, Australia
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Type 2 diabetes * A history of symptomatic or documented hypoglycaemia * Currently treated with a sulphonylurea ± any anti-diabetic agent/s other than insulin * Currently performing home blood glucose monitoring and willing to do seven tests a day during the study period

Exclusion criteria

* Type 1 diabetes * Current treatment with insulin * LBBB and conduction anomalies that preclude QT analysis * Drugs that prolong QT interval * Family history of Long QT syndrome

Design outcomes

Primary

MeasureTime frameDescription
Change in the Corrected QT-interval During Nocturnal HypoglycemiaNocturnal time period (2300-0700) during the 48 hours of Holter monitoringThe nocturnal time period for the study spanned from 11 pm in the evening until 7 am the following morning on two consecutive days. The change in the corrected QT interval during nocturnal hypoglycemia was determined by calculating the difference between the average QTc interval length during periods of hypoglycemia (blood glucose level \<3.5 mmol/L) and the average QTc interval length during periods of normoglycemia (blood glucose level \>3.5 mmol/L) for the nocturnal time period. The average QTc interval was calculated using an individually optimised correction formula. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was positive, the participant experienced QTc prolongation during hypoglycemia. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was negative, the participant experienced QTc shortening during hypoglycemia.
Change in Corrected QT Interval During Day Time HypoglycaemiaDay time period (0700-2300) during the 48 hours of Holter monitoringThe day time period for the study spanned from 7 am in the morning until 11 pm in the evening on two consecutive days. The change in the corrected QT interval during day time hypoglycemia was determined by calculating the difference between the average QTc interval length during periods of hypoglycemia (blood glucose level \<3.5 mmol/L) and the average QTc interval length during periods of normoglycemia (blood glucose level \>3.5 mmol/L) for the day time period. The average QTc interval was calculated using an individually optimised correction formula. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was positive, the participant experienced QTc prolongation during hypoglycemia. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was negative, the participant experienced QTc shortening during hypoglycemia.

Secondary

MeasureTime frameDescription
Pearson's Correlation Coefficient of Delta QTc and a Measure of Glucose Variability, MAGE (Mean Amplitude of Glycemic Excursion).Nocturnal time period (2300-0700) during the 48 hours of Holter monitoringMAGE, a commonly used index of glucose variability, was calculated using data obtained during continuous glucose monitoring. Analysis of correlation between MAGE and delta QTc was undertaken. Please note delta QTc represents the difference between average QTc length during hypoglycemia and average QTc length during normoglycemia.
Mean Amplitude of Glycemic Excursion (MAGE)48 hours of continuous glucose monitoringThe MAGE results (in mmol/L) for the eight participants who experienced nocturnal hypoglycemia are included in the table below.
deltaQTcNocturnal time period (2300-0700) during the 48 hours of Holter monitoringdeltaQTc is the difference in QTc observed during periods of hypoglycemia and periods of normoglycemia (for those participants who experienced nocturnal hypoglycemia)

Participant flow

Recruitment details

Patients with type 2 diabetes attending the Diabetes Centre, Royal Prince Alfred Hospital who fulfilled the entry criteria were approached to participate. The requirements of the study were discussed and participants were given a copy of the Participant Information Sheet and Consent Form to read. 30 individuals were recruited in 2015.

Pre-assignment details

30 participants were screened and enrolled. Data from all 30 participants was included in the analysis.

Participants by arm

ArmCount
Hypoglycemic Group
N=9; these participants experienced at least one episode of hypoglycaemia (blood glucose level \<3.5mmol/L) during the monitoring period.
9
Normoglycemic Group
N=21; these participants experienced no episodes of hypoglycaemia during the monitoring period.
21
Total30

Baseline characteristics

CharacteristicNormoglycemic GroupHypoglycemic GroupTotal
Age, Continuous68.3 years
STANDARD_DEVIATION 7.4
62.8 years
STANDARD_DEVIATION 10.2
66.7 years
STANDARD_DEVIATION 8.6
Alcohol consumption status: Consumer, Abstainer
Abstainer
4 Participants4 Participants8 Participants
Alcohol consumption status: Consumer, Abstainer
Consumer
17 Participants5 Participants22 Participants
Body Mass Index31.2 kg/m2
STANDARD_DEVIATION 5
31.8 kg/m2
STANDARD_DEVIATION 6.3
31.3 kg/m2
STANDARD_DEVIATION 5.4
Diabetes duration14.0 years15.0 years14.5 years
Diabetes Treatment: Mono or dual therapy, Triple or quadruple therapy
Mono or dual therapy
9 Participants5 Participants14 Participants
Diabetes Treatment: Mono or dual therapy, Triple or quadruple therapy
Triple or quadruple therapy
12 Participants4 Participants16 Participants
Ethnicity: Caucasian, Non-Caucasian
Caucasian
17 Participants7 Participants24 Participants
Ethnicity: Caucasian, Non-Caucasian
Non-Caucasian
4 Participants2 Participants6 Participants
HbA1c7.0 %
STANDARD_DEVIATION 0.9
6.6 %
STANDARD_DEVIATION 0.8
6.9 %
STANDARD_DEVIATION 0.9
Microvascular Complication Status: Present, Absent
Absent
13 Participants8 Participants21 Participants
Microvascular Complication Status: Present, Absent
Present
8 Participants1 Participants9 Participants
Region of Enrollment
Australia
21 participants9 participants30 participants
Sex: Female, Male
Female
9 Participants3 Participants12 Participants
Sex: Female, Male
Male
12 Participants6 Participants18 Participants
Smoking Status: Current, Former, Lifelong non-smoker
Current
0 Participants2 Participants2 Participants
Smoking Status: Current, Former, Lifelong non-smoker
Former
6 Participants4 Participants10 Participants
Smoking Status: Current, Former, Lifelong non-smoker
Lifelong non-smoker
15 Participants3 Participants18 Participants
Systolic Blood Pressure131 mmHg
STANDARD_DEVIATION 10
122 mmHg
STANDARD_DEVIATION 10
128 mmHg
STANDARD_DEVIATION 11
Waist circumference
Female
108 cm
STANDARD_DEVIATION 11
108 cm
STANDARD_DEVIATION 10
108 cm
STANDARD_DEVIATION 10
Waist circumference
Male
107 cm
STANDARD_DEVIATION 11
113 cm
STANDARD_DEVIATION 13
109 cm
STANDARD_DEVIATION 13

Adverse events

Event typeEG000
affected / at risk
EG001
affected / at risk
deaths
Total, all-cause mortality
— / —— / —
other
Total, other adverse events
9 / 90 / 21
serious
Total, serious adverse events
0 / 90 / 21

Outcome results

Primary

Change in Corrected QT Interval During Day Time Hypoglycaemia

The day time period for the study spanned from 7 am in the morning until 11 pm in the evening on two consecutive days. The change in the corrected QT interval during day time hypoglycemia was determined by calculating the difference between the average QTc interval length during periods of hypoglycemia (blood glucose level \<3.5 mmol/L) and the average QTc interval length during periods of normoglycemia (blood glucose level \>3.5 mmol/L) for the day time period. The average QTc interval was calculated using an individually optimised correction formula. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was positive, the participant experienced QTc prolongation during hypoglycemia. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was negative, the participant experienced QTc shortening during hypoglycemia.

Time frame: Day time period (0700-2300) during the 48 hours of Holter monitoring

ArmMeasureGroupValue (COUNT_OF_PARTICIPANTS)
Hypoglycemia GroupChange in Corrected QT Interval During Day Time HypoglycaemiaExperienced QTc prolongation during hypoglycemia2 Participants
Hypoglycemia GroupChange in Corrected QT Interval During Day Time HypoglycaemiaExperienced QTc shortening during hypoglycemia1 Participants
Primary

Change in the Corrected QT-interval During Nocturnal Hypoglycemia

The nocturnal time period for the study spanned from 11 pm in the evening until 7 am the following morning on two consecutive days. The change in the corrected QT interval during nocturnal hypoglycemia was determined by calculating the difference between the average QTc interval length during periods of hypoglycemia (blood glucose level \<3.5 mmol/L) and the average QTc interval length during periods of normoglycemia (blood glucose level \>3.5 mmol/L) for the nocturnal time period. The average QTc interval was calculated using an individually optimised correction formula. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was positive, the participant experienced QTc prolongation during hypoglycemia. If the result of average QTc (hypoglycemia) - average QTc (normoglycemia) was negative, the participant experienced QTc shortening during hypoglycemia.

Time frame: Nocturnal time period (2300-0700) during the 48 hours of Holter monitoring

ArmMeasureCategoryValue (COUNT_OF_PARTICIPANTS)
Hypoglycemia GroupChange in the Corrected QT-interval During Nocturnal HypoglycemiaQTc prolongation during hypoglycemia3 Participants
Hypoglycemia GroupChange in the Corrected QT-interval During Nocturnal HypoglycemiaQTc shortening during hypoglycemia5 Participants
Secondary

deltaQTc

deltaQTc is the difference in QTc observed during periods of hypoglycemia and periods of normoglycemia (for those participants who experienced nocturnal hypoglycemia)

Time frame: Nocturnal time period (2300-0700) during the 48 hours of Holter monitoring

ArmMeasureGroupValue (NUMBER)
Hypoglycemia GroupdeltaQTcParticipant 110 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 44 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 5-2 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 10-6 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 15-4 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 16-1 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 19-8 milliseconds
Hypoglycemia GroupdeltaQTcParticipant 2415 milliseconds
Secondary

Mean Amplitude of Glycemic Excursion (MAGE)

The MAGE results (in mmol/L) for the eight participants who experienced nocturnal hypoglycemia are included in the table below.

Time frame: 48 hours of continuous glucose monitoring

Population: Only those participants who experienced nocturnal hypoglycemia (BGL \<3.5 mmol/L for \>20 minutes) are included in the analysis population

ArmMeasureGroupValue (NUMBER)
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 13.9 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 44.7 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 53.0 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 103.9 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 151.8 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 163.6 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 195.7 mmol/L
Hypoglycemia GroupMean Amplitude of Glycemic Excursion (MAGE)Participant 244.3 mmol/L
Secondary

Pearson's Correlation Coefficient of Delta QTc and a Measure of Glucose Variability, MAGE (Mean Amplitude of Glycemic Excursion).

MAGE, a commonly used index of glucose variability, was calculated using data obtained during continuous glucose monitoring. Analysis of correlation between MAGE and delta QTc was undertaken. Please note delta QTc represents the difference between average QTc length during hypoglycemia and average QTc length during normoglycemia.

Time frame: Nocturnal time period (2300-0700) during the 48 hours of Holter monitoring

Population: The eight study participants who experienced nocturnal hypoglycemia are included in the analysis population.

ArmMeasureValue (NUMBER)
Hypoglycemia GroupPearson's Correlation Coefficient of Delta QTc and a Measure of Glucose Variability, MAGE (Mean Amplitude of Glycemic Excursion).0.09 Correlation coefficient

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026