Comparison of Coronary Artery Calcium and Quantitative Coronary Plaque in Predicting Obstructive Coronary Artery Disease: Subgroup Analysis of the CLARIFY Study.

Background: Agatston coronary artery calcium (CAC) score is a strong predictor of mortality. However, the relationship between CAC and quantitative calcified plaque volume (CPV), which is measured on coronary computed tomography angiography (CCTA), is not well understood. Furthermore, there is limited evidence evaluating the difference between CAC versus CPV and CAC versus total plaque volume (TPV) in predicting obstructive coronary artery disease (CAD). Methods: This study included 147 subjects from the CLARIFY registry, a multicentered study of patients undergoing assessment using CCTA and CAC score as part of acute and stable chest pain evaluation. Automated software service (Cleerly.Inc, Denver, CO, USA) was used to evaluate the degree of vessel stenosis and plaque quantification on CCTA. CAC was measured using the standard Agatston method. Spearman correlation and receiver operating characteristic curve analysis was performed to evaluate the diagnostic ability of CAC, CPV and TPV in detecting obstructive CAD. Results: Results demonstrated a very strong positive correlation between CAC and CPV (r=0.76, p=0.0001) and strong correlation between CAC and TPV (r=0.72, p<0.001) at per-patient level analysis. At per-patient level analysis, the sensitivity of CAC (68%) is lower than CPV (77%) in predicting >50% stenosis, but negative predictive value is comparable. However, the sensitivity of TPV is higher compared with CAC in predicting >50% stenosis, and the negative predictive value of TPV is also higher. Conclusion: CPV and TPV are more sensitive in predicting the severity of obstructive CAD compared with the CAC score. However, the negative predictive value of CAC is comparable to CPV, but is lower than TPV. This study elucidates the relationship between CAC and quantitative plaque types, and especially emphasizes the differences between CAC and CPV which are two distinct plaque measurement techniques that are utilized in predicting obstructive CAD.

Exploring the relationship between epicardial fat and coronary plaque burden and characteristics: insights from cardiac ct imaging.

Epicardial adipose tissue (EAT) may enhance the risk of coronary artery disease (CAD). We investigated the relationship between EAT density (a maker of local inflammation) and coronary plaque characteristics in stable CAD patients. This study included 123 individuals who underwent coronary artery calcium scan and coronary CT angiography to evaluate CAD. Plaque characteristics were analyzed by semi-automated software (QAngio, Leiden, Netherlands). Non-contrast CT scans were used to measure EAT density (HU) and volume (cc) (Philips, Cleveland, OH). Multivariate regression models were used to evaluate the association of EAT density and volume with different plaque types. The mean (SD) age was 59.4±10.1 years, 53% were male, the mean (SD) EAT density was -77.2±4.6 HU and the volume was 118.5±41.2 cc. After adjustment for cardiovascular risk factors, EAT density was associated with fibrous fatty (FF) plaque (p<0.03). A 1 unit increase in HU was associated with a 7% higher FF plaque, and lower EAT density is independently associated to FF plaque. The association between EAT density and fibrous (p=0.08), and total noncalcified (p=0.09) plaque trended toward but did not reach significance. There was no association between EAT volume and any plaque type. These results suggest that inflammatory EAT may promote coronary atherosclerosis. Therefore, non-contrast cardiac CT evaluation of EAT quality can help better assess cardiovascular risk.

Obesity-Induced Hyperglycemia and Heart Failure Preserved Ejection Fraction: Uncharted Territories to Remission.

Until the end of World War II, food security was a global challenge. Consequently, in 1948, type 2 diabetes was relatively uncommon, with the majority of cases being type 1 diabetes requiring insulin therapy. Since then, food has become increasingly palatable and readily available, leading to a rise in obesity across all age groups. Understanding the impact of obesity on our health has become crucial for optimizing healthcare. In this context, we draw attention to two significant, yet relatively uncharted pathogenic effects associated with obesity: Hyperglycemia and Heart Failure with Preserved Ejection Fraction (HFpEF). Thorough pathophysiologic, hemodynamic, and echocardiographic characterization have revealed the existence of a distinct phenotype known as "obese HFpEF" within the broader HFpEF population, and "obesity-induced hyperglycemia" within the diabetes population. In these phenotypes, patients often present with higher Body Mass Index and experience clinical symptoms decades earlier. Recent insights have enhanced our understanding of the mechanisms underlying obesity-mediated heart failure preserved ejection fraction and hyperglycemia. Early detection offers the potential for reversibility of many pathologies associated with obesity through adequate weight reduction. The objective of this review is to provide a deeper insight into these uncharted territories and explore the potential for improved outcomes by reframing these two narratives toward achieving remission. Such a shift has the potential to positively impact individual engagement with healthier lifestyles.

Our Hidden Enemy: Ultra-Processed Foods, Inflammation, and the Battle for Heart Health.

Over the past few decades, we have witnessed unprecedented growth in new data that has fundamentally changed our traditional understanding of the progression of atherosclerotic plaques, as well as our strategies for preventing cardiovascular diseases, especially atherosclerosis. It was once believed that atherosclerosis was primarily caused by abnormal lipid buildup in the vessel intima, leading to plaque growth and luminal stenosis, with or without rupture. This perspective has now evolved to encompass more complex pathways, wherein the accumulation of abnormal products of oxidation and inflammation are the most likely factors mediating the growth of atherosclerotic plaques. The review aims to provide a comprehensive and detailed exploration of the relationship between ultra-processed foods, chronic inflammation, cardiovascular diseases, obesity, insulin resistance, and the role of the gut microbiota. It touches on several important aspects of modern diet and health.

Encapsulated Calcified Hematoma Mimicking a Cardiac Tumor, Diagnosed 25 Years Post-Traumatic Injury.

A 45-year-old man presented with nonspecific symptoms caused by a mass compressing the right ventricle. Cardiac computed tomography accurately predicted the operative and pathologic appearance of the mass, and the final diagnosis of an encapsulated cardiac hematoma was confirmed by pathologic examination. This condition is infrequent and mimics a cardiac tumor. (Level of Difficulty: Advanced.).

Impact of transfer from non-acute care centers on clinical outcomes in patients with congestive heart failure.

Study objective: To compare the clinical outcomes in patients with congestive heart failure who are transferred to an acute care hospital from non-acute care centers with patients who are admitted as regular hospital admissions. Design: This was a retrospective cohort study. Setting: We utilized the National Inpatient Sample database from 2016 to 2018. Participants: Our cohort consisted of hospitalized patients who were at least 18 years old with a primary diagnosis of congestive heart failure. Interventions: These patients were either transferred from non-acute centers or presented as regular hospital admissions. Main outcome measurements: We matched patients in a greedy nearest neighbor 1:1 model with caliper set at 0.2. Multivariable logistic regression, adjusted for age, sex, race and comorbidities, was used to compare mortality in our matched cohort. Results: This study included 35,010 non-acute care transfers and 951,189 regularly admitted patients. Compared to patients who were not transferred, non-acute care transfers were older, predominantly female, White and less racially diverse. After matching, there were 6689 patients in each cohort. When adjusted for age, race, sex and comorbidities, non-acute care transfers with congestive heart failure had 2.20 times higher odds of suffering in-hospital mortality compared to regular, non-transferred admissions (aOR 2.20, 95 % CI: 1.85-2.61; p < 0.001). Conclusion: Our findings illustrate that non-acute care transfers are a vulnerable population that require additional medical support in the acute care setting.

Coronary computed tomography angiography evaluation of plaque morphology and its relationship to HDL and total cholesterol to HDL ratio.

BACKGROUND: While population studies have demonstrated that high density lipoprotein cholesterol (HDL-C) and the ratio of total cholesterol to HDL (TC/HDL) improve cardiovascular risk prediction, the mechanism by which these parameters protect the cardiovascular system remains uncertain. OBJECTIVE: To investigate the relationship between the HDL-C level and the total cholesterol to HDL (TC/HDL) ratio with the morphology of coronary artery plaque as determined by coronary computed tomography angiography (CCTA). METHODS: This is a cross-sectional study involving 190 subjects with stable coronary artery disease. Semi-automated plaque analysis software was utilized to quantify plaque and plaque volumes are presented as total atheroma volume normalized (TAVnorm). Multivariate regression models were used to evaluate the association of HDL-C and TC/HDL ratio with coronary plaque volumes. RESULTS: Of the 190 subjects the average (SD) age was 58.9 (9.8) years, with 63% being male. After adjustment for cardiovascular risk factors, HDL- C (>40 mg/dl) is inversely associated with fibrous (p = 0.003), fibrous fatty (p = 0.007), low attenuation plaque (LAP) (p = 0.007), total non-calcified plaque (TNCP) (p = 0.002) and total plaque (TP)(p = 0.004) volume. Furthermore, the TC/HDL ratio (> 4.0) is associated with fibrous (p = 0.047) and total non-calcified plaque (p = 0.039), but not with fibrofatty, LAP, dense calcified plaque, or TP volume. CONCLUSION: There is a strong association between low HDL-C levels and increasing TC/HDL ratio with certain types of coronary plaque characteristics, independent of traditional risk factors. The findings of this study suggest mechanistic evidence supporting the protective role of HDL-C and the TC/HDL ratio's clinical relevance in coronary artery disease management.

Assessment of left main coronary artery disease: a comparison between invasive and noninvasive.

Left main coronary artery disease has significant therapeutic as well as prognostic implications. The presence of left main coronary artery stenosis is strongly associated with poor short- and long-term prognoses. Accurate identification of left main stenosis is extremely important since it would be the main factor to guide management. There are several modalities used to determine the presence of atherosclerosis and the degree of stenosis in a left main coronary artery. Newer modalities allow for an accurate evaluation of left main stenosis and atherosclerosis. In this review, we go through different invasive and noninvasive modalities to diagnose left main stenosis, shedding more light into coronary computed tomography angiography, and its accuracy in this specific diagnosis.

Recent Advances in Coronary Computed Tomography Angiogram: The Ultimate Tool for Coronary Artery Disease.

PURPOSE OF REVIEW: The emerging technologies in multidetector computed tomography scanners gave the ability to image coronary arteries in a single heartbeat, at a higher quality, and low radiation dose. Furthermore, incorporating artificial intelligence and machine learning into image processing and interpretation have extended the use for coronary computed tomography angiogram (CCTA) and its applications. In this review, we will explore the recent evidence and advances supporting CCTA to become the ultimate tool for coronary artery disease. RECENT FINDINGS: Results from the EVINCI, ISCHEMIA, SCOT-HEART, and PROMISE showed that CCTA is better in patients' risk stratification and in detecting subclinical atherosclerosis, resulting in earlier interventions and lesser events. Additionally, CCTA gave us a closer look on atherosclerotic disease by identifying different type of plaque and their clinical significance. Furthermore, FFRCT is a notable example of incorporating artificial intelligence into CCTA. This technology helped us to accurately and non-invasively identify flow limiting lesions, guiding revascularization. As a result of the recent evidence, CCTA have made its way into the chest pain guidelines all over the world. Moreover, CCTA have the potential to revolutionize our understanding and standards in screening, preventing, and managing heart disease.