Objective Cardiovascular (CV) diseases are serious comorbidities in patients with granulomatosis with polyangiitis (GPA). In a sample of patients hospitalized for GPA, we sought to examine trends in the burden of coronary artery disease (CAD) and its 2 serious manifestations, acute myocardial infarction (AMI) and heart failure (HF). Methods We used the National Inpatient Sample to conduct a retrospective cross-sectional analysis. Our sample consisted of hospitalizations for GPA between 2005 and 2014. We examined trends in the proportion of CAD, AMI, and HF in all hospitalizations with GPA compared to those without GPA. We used logistic regression adjusted for potential confounders and included interaction terms. Results Among a total of 103,453 GPA hospitalizations, 20,351 (19.7%) hospitalizations had a concurrent diagnosis of CAD. GPA with CAD was associated with overall lower burden of traditional CV risk factors compared to non-GPA with CAD, with the exception of chronic kidney disease (57% vs 21%). Over the 10-year study period, there were rising trends in the inpatient burden of CAD (16.6% in 2005 to 22.7% in 2014) and CAD with HF (4.3% in 2005 to 9.9% in 2014), but not AMI (1.2% in 2005 to 1.1% in 2014), in GPA hospitalizations compared to non-GPA controls. Conclusion In this national sample of GPA hospitalizations, we found that the burden of CAD and CAD with HF was on the rise over the 10-year period compared to non-GPA; however, it was not the case for AMI.
Acute myocardial infarction remains a significant cause of mortality worldwide and its burden continues to grow. Its pathophysiology is known to be complex and multifactorial, with several acquired and inherited risk factors. As advances in technology and medical therapy continue, there is now increasing recognition of the role that genetics play in the development and management of myocardial infarction. The genetic determinants of acute coronary syndrome are still vastly understudied, but the advent of whole-genome scanning and genome-wide association studies has significantly expanded the current understanding of genetics and simultaneously fostered hope that genetic profiling and gene-guided treatments could substantially impact clinical outcomes. The identification of genes associated with acute myocardial infarction can help in the development of personalized medicine, risk stratification, and improved therapeutic strategies. In this context, several genes have been studied, and their potential involvement in increasing the risk for acute myocardial infarction is being investigated. As such, this article provides a review of some of the genes potentially related to an increased risk for acute myocardial infarction as well as the latest updates in gene-guided risk stratification and treatment strategies.
Introduction: Current dietary guidelines no longer recommend against egg consumption despite the high cholesterol content. However, considerable controversy remains on the relationship between high egg consumption and cardiovascular disease (CVD) risk. The objective of this systematic review and meta-analysis was to explore the association between egg consumption and CVD events. Methods: We systematically searched PubMed, Scopus, and the Cochrane Database of Systematic Reviews from database inception through April 2015 for observational studies with hazard ratio (HRs) or relative risks (RRs) and 95% confidence intervals (95% CI) that reported the association between egg consumption and CVD events which included coronary heart disease (CHD) and stroke. Data were extracted by one reviewer followed by independent screening and extraction of study characteristics and outcome data by two other reviewers. Conflicts were resolved through consensus. Random-effects meta-analyses were used to pool the hazard ratios or relative risks from the included studies. Subgroup analyses were performed to explore the potential sources of heterogeneity. The quality of the included studies and publication bias were assessed. Results: We identified 5 cross-sectional and 6 prospective studies with median follow-up of 13.1 years. A total of 301,339 individuals and 10,262 total CVD events were included with 7,225 CHD and 3,037 stroke cases. Compared to consumption of less than 1 egg/day, higher egg consumption was associated with an increased risk of CVD events (pooled HR, 1.43; 95% CI, 1.01-2.03; p=0.012; I 2 = 65.7% and pooled RR, 1.09; 95% CI, 0.89-1.34; p=0.145; I 2 = 41.4%). Conclusions: Our analysis suggests that higher consumption of eggs (more than 1 egg/day) may be associated with increased risk of cardiovascular disease. Large and diverse prospective community-based cohorts will be necessary to establish optimal dietary recommendations for public health.
