University of Leicester
Leicester, United Kingdom
Location status: Recruiting
Location contact
Gaurav S Gulsin, MRCP(UK)
CONTACT
NCT Number: NCT03132129
Background: Heart failure is a major cause of morbidity and mortality in diabetes mellitus, but its pathophysiology is poorly understood.
Aim: To determine the prevalence and determinants of subclinical cardiovascular dysfunction in adults with type 2 diabetes (T2D).
Plan: 518 asymptomatic adults (aged 18-75 years) with T2D will undergo comprehensive evaluation of cardiac structure and function using cardiac MRI (CMR) and spectroscopy, echocardiography, CT coronary calcium scoring, exercise tolerance testing and blood sampling. 75 controls will undergo the same evaluation.
Primary hypothesis: myocardial steatosis is an independent predictor of left ventricular global longitudinal strain. Secondary hypotheses: will assess whether CMR is more sensitive to detect early cardiac dysfunction than echocardiography and BNP, and whether cardiac dysfunction is related to peak oxygen consumption.
Expected value of results: This study will reveal the prevalence and determinants of cardiac dysfunction in T2D, and could provide targets for novel therapies.
Interested in participating?
Request Info50 year–75 year
All sexes
Observational
Leicester, United Kingdom
Location status: Recruiting
Gaurav S Gulsin, MRCP(UK)
CONTACT
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Importantly, patients with subclinical CAD, and other common comorbidities such as obesity and hypertension, will not be excluded from this study. This will enable us to evaluate the contribution of CAD to myocardial dysfunction in diabetes and ensures our study group is representative of the general population with diabetes. Similarly, as mild dyspnoea is extremely common and non-specific participants with mild dyspnoea will be included.
CMR scanning performed on a 3T MRI scanner. Standardised protocol incorporating cine functional assessment to determine LV mass, systolic function and left atrial volumes; global systolic strain and diastolic strain rates will be assessed by tagging and with tissue tracking analysis from cine images, adenosine rest and stress myocardial perfusion to assess reserve index and qualitative perfusion defects as previously described, aortic distensibility and pulse wave velocity to measure aortic stiffness, delayed contrast enhancement for assessment of LV fibrosis and evidence of previous myocardial infarction. Myocardial and liver triglyceride content will be assessed using the modified Hepafat® sequence or 1H MR spectroscopy at the inter ventricular septum. DIXON technique for the quantification of visceral adiposity and subcutaneous adipose tissue.
Comprehensive transthoracic echocardiography, including: tissue Doppler indices of diastolic filling and speckle tracking for systolic and diastolic strain/strain rate, exclusion of valvular abnormalities, assessment of LV size and function.
Computed Tomography coronary calcium scoring to assess the presence of subclinical atherosclerosis and allow an estimate of atheroma burden in addition to epicardial adipose tissue characterisation and systolic strain.
Physician supervised incremental symptom limited cardiopulmonary exercise tolerance test with ECG and haemodynamic monitoring.
A subset of the participants will have cardiac MRI scanning with manganese-based contrast agent, lasting approximately 45-50 minutes. After localisers, baseline functions and native T1 maps have been acquired, Mangafodipir (0.1mL/kg) will be administered intravenously at 1ml/min, with additional T1 maps acquired every 2.5 min after administration of the contrast agent for up to 30 minutes.
A 24-hour blood pressure monitor will be worn at the end of the visit to the following day.
Watch worn to collect free living physical activity data for 7 days.
Collection of blood samples from each participant to characterise the participant's health status and to develop a proteomic signature of early heart failure.
Time frame: 5 years
Proportion of participants with type 2 diabetes who have features of early heart failure
Time frame: 3 years
Multivariate and independent predictors of LV systolic and diastolic function in type 2 diabetes
Time frame: 3 years
Sensitivity of CMR versus echocardiography and BNP for detecting subclinical cardiovascular dysfunction in type 2 diabetes
Time frame: 3 years
Independent association of CMR measures (LV systolic and diastolic strain and strain rates) with aerobic exercise capacity (peak VO2) in type 2 diabetes
Time frame: 3 years
Differences in LV remodelling (indexed LV mass) between cases and controls
Time frame: 5 years
Independent clinical and imaging predictors of major adverse cardiovascular and, in particular, heart failure events in the patients with type 2 diabetes
Time frame: 3 years
Differences in cardiac MRI and echo-derived systolic and diastolic strain and strain rates between cases and controls.
Time frame: 3 years
Differences in coronary atheroma burden (CT coronary artery calcium score) between cases and controls
Time frame: 3 years
Differences in aerobic exercise capacity (peak V02) between cases and controls
Time frame: 3 years
Differences in myocardial perfusion reserve between cases and controls
Time frame: 3 years
Differences in heart rate and blood pressure variability between cases and controls
Time frame: 3 years
Myocardial steatosis as an independent predictor of LV global longitudinal strain
Time frame: 5 years
Manganese influx constants calculated using Patlak modelling
Time frame: 5 years
Proteomic analysis will be conducted to identify a proteomic signature of early heart failure in type 2 diabetes that will be externally validated
Time frame: 5 years
The phenotype of participants defined as in remission will be compared to active type 2 diabetes and healthy volunteers
Contact information is provided by the study sponsor or research team.
Gaurav S Gulsin, MBChB(Hons)
CONTACT
Gerry P McCann, MD
CONTACT
University of Leicester
Other
Acronym: PREDICT
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05915260
Cardiomyopathies, Cardiovascular Diseases
Slagelse, Denmark
View Trial DetailsNCT03049228
Cardiomyopathies, Cardiovascular Diseases
Maastricht, Limburg, Netherlands
View Trial DetailsNCT07532863
Diabetes Mellitus, Diabetes Mellitus, Type 2
Tangerang, Banten, Indonesia
View Trial DetailsNCT05962372
Abdominal Obesity, Body Weight
San Juan, Puerto Rico
View Trial Details