Silent coronary artery disease and incidence of cardiovascular and mortality events at different levels of glucose regulation; results of greater than a decade follow-up

Impact of Polycystic Ovary Syndrome on Silent Coronary Artery Disease and Cardiovascular Events; A Long-term Population-based Cohort Study

BACKGROUND

The existing data regarding the impact of Polycystic Ovary Syndrome (PCOS) on the risk of developing cardiovascular disease (CVD) are conflicting.

AIM

To explore the effect of PCOS status on the occurrence of silent coronary artery disease (CAD)/CVD.

METHODS

A total of 1591 women without CVD at baseline, aged 18-45 years, including 356 PCOS patients (defined by the Rotterdam criteria) and 1235 eumenorrheic non-hirsute women without polycystic ovarian morphology (controls), were selected from the Tehran Lipid and Glucose Study (TLGS). The median follow-up was 15.4 years, and most participants were in their late reproductive years at the end of the study. Silent CAD and CVD outcomes in PCOS and control groups were compared according to the multivariable-adjusted hazard ratios (HRs) and cumulative hazard functions.

RESULTS

There was no difference in CVD risk factors between the PCOS and control groups. After controlling for confounders, PCOS status did not increase the risk of silent CAD (HR: 0.96, 95% CI 0.86-1.08). Regardless of PCOS status, women with a history of silent CAD showed 2.25 times higher CVD events than those without this history (95% CI 1.63-3.10). PCOS status reduced the CVD incidence by 42%, independently of silent CAD or traditional risk factors (HR: 0.58, 95% CI 0.35-0.98).

CONCLUSIONS

Whereas silent CAD, regardless of PCOS, accelerated CVD, PCOS preserved it, most likely due to a combination of protective factors, including the endocrine pattern in the late reproductive period, environmental/social elements, and recruiting additional counseling and lifestyle modifications.

Identification of Silent Myocardial Ischemia in Patients with Long-Term Type 1 and Type 2 Diabetes

(1) Background: This study aimed to analyze epidemiological data to identify risk factors for silent myocardial ischemia in patients with long-term type 1 and type 2 diabetes. (2) Methods: An analysis was performed on 104 patients with long-term type 1 and type 2 diabetes who had not previously been diagnosed with cardiovascular disease. During hospitalization, patients were subjected to a standard ECG exercise test on a treadmill. If the test could not be performed or the result was uncertain, a pharmacological exercise test with dobutamine was performed. In the case of a positive exercise ECG test or a positive dobutamine test, the patient underwent coronary angiography. (3) Results: Atherosclerotic lesions were found in 24 patients. Patients with silent ischemia were significantly older and had a lower mean left ventricular ejection fraction and a higher incidence of carotid atherosclerosis. The presence of microvascular complications did not increase the risk of silent ischemia. (4) Conclusions: Silent heart ischemia is more common in type 2 than type 1 diabetes. Predisposing factors include older age, coexistence of carotid atherosclerosis, lower left ventricular ejection fraction, and smoking in patients with type 1 diabetes. Concomitant microvascular complications are not a risk factor.

Risk of Silent Myocardial Infarction in Prediabetic Patients: A Case-Control Study in a Veteran Population

OBJECTIVES

In the management of cardiovascular disease, it is important to identify patients at risk early on, to provide interventions to prevent the disease and its complications. The goal of our study was to investigate the association between glucose levels and silent myocardial infarction (SMI) among patients, who consisted of veterans within the Veterans Affairs clinical system.

METHODS

Among the group of patients with an initially normal electrocardiogram, a cohort of patients with a subsequent diagnosis of SMI was selected as the case cohort, whereas 4 patients for each study subject, without evidence of coronary artery disease and normal electrocardiogram within the previous 6 months, were identified and constituted the control cohort. We conducted an adjusted logistic regression model using the stepwise function to assess the association between glucose level and SMI.

RESULTS

Of the 540 patients included in the study, 108 (20.0%) with an SMI diagnosis made up the case cohort. We observed that as compared with those who had normal levels of glucose, those who were prediabetic were 3.99 times as likely (95% confidence interval 1.48-12.85) to have SMI, whereas the diabetic patients were 3.80 times as likely (95% confidence interval 1.39-12.38) to experience SMI.

CONCLUSIONS

SMIs have been shown to be predictive of subsequent cardiovascular events, including another MI and death, and that indicates the importance of identifying a group at high risk for a SMI. As such, our findings could be extremely beneficial for targeted intervention toward prediabetics and to improve health outcomes in the entire population.

Prevalence of ECG abnormalities in people with type 2 diabetes: The Hoorn Diabetes Care System cohort

AIMS

The American Diabetes Association, and the joint European Society of Cardiology and European Association for the Study of Diabetes guidelines recommend a resting ECG in people with type 2 diabetes with hypertension or suspected cardiovascular disease (CVD). However, knowledge on the prevalence of ECG abnormalities is incomplete. We aimed to analyse the prevalence of ECG abnormalities and their cross-sectional associations with cardiovascular risk factors in people with type 2 diabetes.

METHODS

We used data of the Diabetes Care System cohort obtained in 2018. ECG abnormalities were defined using the Minnesota Classification and categorised into types of abnormalities. The prevalence was calculated for the total population (n = 8068) and the subgroup of people without a history of CVD (n = 6494). Logistic regression models were used to asses cross-sectional associations.

RESULTS

Approximately one-third of the total population had minor (16.0%) or major (13.1%) ECG abnormalities. Of the participants without a CVD history, approximately one-quarter had minor (14.9%) or major (9.1%) ECG abnormalities, and for those with hypertension or very high CVD risk, the prevalence was 27.5% and 39.6%, respectively. ECG abnormalities were significantly and consistently associated with established CVD risk factors.

CONCLUSIONS

Resting ECG abnormalities are common in all people with type 2 diabetes (29.1%), including those without a history of CVD (24.0%), and their prevalence is related to traditional cardiovascular risk factors such as older age, male sex, hypertension, lower HDL cholesterol, higher BMI, and smoking behaviour.

Prediabetes Deserves More Attention: A Review

Evidence increasingly demonstrates that prediabetes is a toxic state, as well as a risk factor for diabetes, and is associated with pathophysiological changes in several tissues and organs. Unfortunately, use of available evidence-based treatments for prediabetes is low. This review seeks to explain why prediabetes must be viewed and treated as a serious pathological entity in its own right. It offers an overview of the pathophysiology and complications of prediabetes and describes how this condition can be reversed if all treatment avenues are deployed early in its course.

Prognosis of unrecognised myocardial infarction determined by electrocardiography or cardiac magnetic resonance imaging: systematic review and meta-analysis

OBJECTIVE

To evaluate the prognosis of unrecognised myocardial infarction determined by electrocardiography (UMI-ECG) or cardiac magnetic resonance imaging (UMI-CMR).

DESIGN

Systematic review and meta-analysis of prospective studies.

DATA SOURCES

Electronic databases, including PubMed, Embase, and Google Scholar.

STUDY SELECTION

Prospective cohort studies were included if they reported adjusted relative risks, odds ratios, or hazard ratios and 95% confidence intervals for all cause mortality or cardiovascular outcomes in participants with unrecognised myocardial infarction compared with those without myocardial infarction.

DATA EXTRACTION AND SYNTHESIS

The primary outcomes were composite major adverse cardiac events, all cause mortality, and cardiovascular mortality associated with UMI-ECG and UMI-CMR. The secondary outcomes were the risks of recurrent coronary heart disease or myocardial infarction, stroke, heart failure, and atrial fibrillation. Pooled hazard ratios and 95% confidence intervals were reported. The heterogeneity of outcomes was compared in clinically recognised and unrecognised myocardial infarction.

RESULTS

The meta-analysis included 30 studies with 253 425 participants and 1 621 920 person years of follow-up. UMI-ECG was associated with increased risks of all cause mortality (hazard ratio 1.50, 95% confidence interval 1.30 to 1.73), cardiovascular mortality (2.33, 1.66 to 3.27), and major adverse cardiac events (1.61, 1.38 to 1.89) compared with the absence of myocardial infarction. UMI-CMR was also associated with increased risks of all cause mortality (3.21, 1.43 to 7.23), cardiovascular mortality (10.79, 4.09 to 28.42), and major adverse cardiac events (3.23, 2.10 to 4.95). No major heterogeneity was observed for any primary outcomes between recognised myocardial infarction and UMI-ECG or UMI-CMR. The absolute risk differences were 7.50 (95% confidence interval 4.50 to 10.95) per 1000 person years for all cause mortality, 11.04 (5.48 to 18.84) for cardiovascular mortality, and 27.45 (17.1 to 40.05) for major adverse cardiac events in participants with UMI-ECG compared with those without myocardial infarction. The corresponding data for UMI-CMR were 32.49 (6.32 to 91.58), 37.2 (11.7 to 104.20), and 51.96 (25.63 to 92.04), respectively.

CONCLUSIONS

UMI-ECG or UMI-CMR is associated with an adverse long term prognosis similar to that of recognised myocardial infarction. Screening for unrecognised myocardial infarction could be useful for risk stratification among patients with a high risk of cardiovascular disease.