Pulse pressure and coronary atherosclerosis in asymptomatic type 2 diabetes mellitus: a 64 channel cardiac computed tomography analysis

Multi-modality cardiac imaging in the management of diabetic heart disease

Diabetic heart disease is a major healthcare problem. Patients with diabetes show an excess of death from cardiovascular causes, twice as high as the general population and those with diabetes type 1 and longer duration of the disease present with more severe cardiovascular complications. Premature coronary artery disease and heart failure are leading causes of morbidity and reduced life expectancy. Multimodality cardiac imaging, including echocardiography, cardiac computed tomography, nuclear medicine, and cardiac magnetic resonance play crucial role in the diagnosis and management of different pathologies included in the definition of diabetic heart disease. In this review we summarise the utility of multi-modality cardiac imaging in characterising ischaemic and non-ischaemic causes of diabetic heart disease and give an overview of the current clinical practice. We also describe emerging imaging techniques enabling early detection of coronary artery inflammation and the non-invasive characterisation of the atherosclerotic plaque disease. Furthermore, we discuss the role of MRI-derived techniques in studying altered myocardial metabolism linking diabetes with the development of diabetic cardiomyopathy. Finally, we discuss recent data regarding the use of artificial intelligence applied to large imaging databases and how those efforts can be utilised in the future in screening of patients with diabetes for early signs of disease.

Noninvasive Cardiovascular Risk Assessment of the Asymptomatic Diabetic Patient: The Imaging Council of the American College of Cardiology

Increased cardiovascular morbidity and mortality in patients with type 2 diabetes is well established; diabetes is associated with at least a 2-fold increased risk of coronary heart disease. Approximately two-thirds of deaths among persons with diabetes are related to cardiovascular disease. Previously, diabetes was regarded as a "coronary risk equivalent," implying a high 10-year cardiovascular risk for every diabetes patient. Following the original study by Haffner et al., multiple studies from different cohorts provided varying conclusions on the validity of the concept of coronary risk equivalency in patients with diabetes. New guidelines have started to acknowledge the heterogeneity in risk and include different treatment recommendations for diabetic patients without other risk factors who are considered to be at lower risk. Furthermore, guidelines have suggested that further risk stratification in patients with diabetes is warranted before universal treatment. The Imaging Council of the American College of Cardiology systematically reviewed all modalities commonly used for risk stratification in persons with diabetes mellitus and summarized the data and recommendations. This document reviews the evidence regarding the use of noninvasive testing to stratify asymptomatic patients with diabetes with regard to coronary heart disease risk and develops an algorithm for screening based on available data.

Imaging Atherosclerosis in Diabetes: Current State

Cardiovascular events, including myocardial infarction and stroke, are the primary causes of mortality in both type 1 and type 2 diabetes. Affected patients frequently have asymptomatic coronary artery disease. Studies have shown heterogeneity in cardiovascular risk among patients with diabetes. Imaging can help categorize risk of future cardiovascular events by identifying those patients with atherosclerosis, rather than relying on risk prediction based on population-based studies. In this article, we will review the evidence regarding use of atherosclerosis imaging in patients with diabetes to predict risk of coronary heart disease and mortality.

Association between pulse pressure and risk of hospital admissions for cardiovascular events among people with Type 2 diabetes: a population-based case-control study

AIM

To investigate the association between pulse pressure and risk of hospitalization for cardiovascular events among people with Type 2 diabetes.

METHODS

A population-based case-control study was carried out using data from medical databases. A total of 588 people with Type 2 diabetes from 18 general practices in Cambridgeshire recorded a first hospitalization for a cardiovascular event between 2009 and 2011, and a total of 2920 age-matched, gender-matched and practice-matched control subjects with Type 2 diabetes were selected based on risk-set sampling. Pulse pressure was assessed before admission in 2008-2009. Further dose-response relationships between pulse pressure and risks were explored using spline models.

RESULTS

There was a non-linear relationship between pulse pressure and the risk of hospitalization for a cardiovascular event (P < 0.001 for linearity test). The pulse pressure associated with the lowest risk of hospitalization for a cardiovascular event was 61 (95% CI 57-63) mmHg.

CONCLUSION

In people with Type 2 diabetes, pulse pressure is a good predictor of risk of hospitalization for cardiovascular events. The risk is lowest with a pulse pressure of 57-63 mmHg.

Aortic pulse pressure is associated with the localization of coronary artery disease based on coronary flow lateralization

BACKGROUND

Aortic pulse pressure (APP) is related to arterial stiffness and associated with the presence and extent of coronary artery disease (CAD). Besides, the left coronary artery (LCA) has a predominantly diastolic flow while the right coronary artery (RCA) receives systolic and diastolic flow. Thus, we hypothesized that increased systolic-diastolic pressure difference had a greater atherogenic effect on the RCA than on the LCA.

METHODS

A random sample of 433 CAD patients (145 females, 288 males, mean age 65.0 ± 11.1 years) undergoing coronary angiography at Staten Island University Hospital between January 2005 and May 2008 was studied. Coronary lesion was defined as a ≥50% luminal stenosis. Patients were divided into three groups, with isolated LCA lesions (n = 154), isolated RCA lesions (n = 36) or mixed LCA and RCA lesions (n = 243).

RESULTS

APP differed significantly between groups, being highest when the RCA alone was affected (67.6 ± 20.3 mm Hg for LCA vs. 78.8 ± 22.0 for RCA vs. 72.7 ± 22.6 for mixed, P = 0.008 for analysis of variance (ANOVA)). Age and gender were not associated with CAD location. Heart rate was associated with CAD location, lowest in RCA group, and negatively correlated with APP. However, left ventricular ejection fraction (LVEF) was lower in the mixed CAD group and positively correlated with APP. The association between APP and right-sided CAD persisted in multivariate logistic regression adjusting for confounders, including heart rate, LVEF and medication use. A similar but less significant pattern was seen with brachial arterial pressures.

CONCLUSIONS

Aortic pulse pressure may affect CAD along with coronary flow phasic patterns.