BACKGROUND

Myocardial bridging (MB) is a congenital coronary anomaly characterized by an epicardial coronary artery taking an intramuscular course, causing systolic compression of the tunneled segment. In comparison to coronary artery disease (CAD), myocardial bridges have been uncommonly associated with acute coronary syndromes and sudden cardiac death.Evidence of accelerated atherosclerotic plaque formation proximal to the bridged segment may increase the risk for future adverse cardiac events in these patients.

This Single–Center Retrospective Study included 323 adult in-patients who underwent coronary angiography for suspected myocardial ischemia in 2022. Clinical information and in-hospital outcomes were obtained by review of medical records.

Myocardial bridging was observed in 31 out of 323 patients (9.60%), with the majority in the mid-left anterior descending artery (87.10%). MB was more prevalent in females (56.62%), and these patients were younger than patients with obstructive CAD (56.9 versus 63.6 years). Chronic Coronary Syndrome was more prevalent in the MB group (82.62%). The coronary segment proximal to the area with MB showed the concurrent presence of obstructive CAD in 16.12% and non-obstructive CAD in 29.03% of cases. In-hospital mortality occurred in 4.44% of the studied population. However, there were no mortalities in the MB group.

Among patients admitted for suspected myocardial ischemia, 9.6% had MB. These patients were younger and, more often, female. Obstructive and non-obstructive CAD were noted in bridged vessels. Although patients with obstructive CAD have a higher risk of experiencing in-hospital death and cardiac complications, evidence of increased atherosclerotic plaque formation in bridged vessels has important implications for future adverse cardiac events and repeat hospitalizations in the MB population. Aggressive risk factor modification, emphasis on long-term follow-up, and the establishment of clinical practice guidelines are therefore necessary for patients with MB.

INTRODUCTION

While a 600 mg loading dose (LD) of clopidogrel has demonstrated superior inhibition of platelet function compared to 300 mg LD, the clinical evidence supporting this superiority is limited. The debate centers on whether higher clopidogrel LD regimen in percutaneous coronary intervention (PCI) outperforms the standard 300 mg LD, with potential benefits being more pronounced in higher-risk patients. Balancing enhanced platelet inhibition to reduce ischemic events against the associated risk of increased bleeding remains a critical consideration in determining the optimal loading dose of clopidogrel for patients with ischemic heart disease.

A systematic literature search for randomized clinical trials (RCTs) was performed comparing 600 mg with 300 mg LD of clopidogrel using PubMed, MEDLINE, Embase, Cochrane, Clinicaltrials.gov and HerdinPH. Studies included those between 2010 and 2023 involving human subjects. The primary efficacy endpoint was a 1-month rate of major adverse cardiac event (MACE) and the primary safety outcome was bleeding adverse effects.

Nine RCTs involving 29,827 patients were included in the efficacy analysis. Mean duration of follow-up was 30 days. Only eight studies were eligible for safety analysis. Compared with standard LD clopidogrel, high LD significantly reduced the incidence of overall MACE (OR: 0.82, 95% CI: 0.74-0.91, p = 0.0002), nonfatal myocardial infarction (OR: 0.56; 95% CI: 0.32-0.99, p = 0.15) and target vessel revascularization (OR: 0.63; 95% CI: 0.41-0.95, p = 0.03), without significant difference in terms of cardiac death (OR: 0.89; 95% CI: 0.76-1.04, p = 0.15) and stroke (OR: 0.92; 95% CI: 0.67-1.26, p = 0.61). However, major bleeding risk was higher in the 600 mg LD (1.9%; 261/13288) compared with 300 mg LD (2.4%; 328/13242) [OR: 1.27; 95% CI: 1.08-1.49, p = 0.005] without significant difference in minor bleeding (OR: 1.05; 95% CI: 0.94-1.17, p = 0.35).

The administration of 600 mg clopidogrel LD reduces the overall risk of MACE with associated increased risk of major bleeding.

BACKGROUND OF THE STUDY

Coronary artery disease (CAD) poses a significant global health challenge. In the Philippines, despite increased availability of coronary artery bypass grafting (CABG), cost remains a barrier to access. This research evaluates key factors such as all-cause death, cardiovascular death, repeat revascularization and quality of life post-CABG under the Philippine Health Z Benefit Package (PZBP). Its findings provide critical insights for shaping clinical practices, policymaking and advocating for broader implementation of the PZBP to improve healthcare access and quality of life for post-CABG patients.

This retrospective cross-sectional study explores the outcomes of post-coronary artery bypass grafting (CABG) patients enrolled under the PZBP. The study, conducted at Perpetual Succour Hospital in Cebu City from December 2018 to September 2023, included patients diagnosed with CAD based on ACC/AHA 2021 guidelines. Using a complete enumeration strategy, the research employed descriptive statistics for demographic and clinical profiling, and measured quality of life using the World Health Organization Quality of Life Brief Version (WHOQOL-BREF) tool.

The study analyzed 29 patients who underwent CABG through the PZBP, presenting detailed demographic and clinical data. Most patients (41.4%) fell within the 51-60 age range, with males comprising 75.9%. Diabetes mellitus type II was prevalent (58.6%) and 86.2% had three-vessel diseases. The quality of life assessed with WHOQOL-BREF yielded positive scores across physical, mental, social and environmental domains, indicating favorable outcomes. Notably, no cardiovascular deaths, all-cause deaths, or repeat revascularizations were reported during the study, highlighting the effectiveness of CABG under PZBP.

The study on post-CABG patients under the PZBP shows promising outcomes with no all-cause death, cardiovascular death, or repeat revascularization. This indicates the program's effectiveness in delivering accessible, high-quality healthcare, enhancing long-term survival rates and overall well-being. However, addressing underutilization is crucial, highlighting the importance of raising awareness and utilization to further improve post-CABG patients' outcomes and quality of life.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD), now known as Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), is linked to cardiovascular disease. This renaming emphasizes the role of metabolic problems. Coronary artery calcification (CAC) reflects early coronary artery disease, but data on the MAFLD-CAC link is limited. OBJECTIVE: To demonstrate the association between metabolic dysfunction-associated fatty liver disease (MAFLD) based on its criteria and coronary artery calcification, as measured by CT CAC score. METHODS: This single-center retrospective study involved adult Filipino patients who underwent CT CAC scoring between January 2021 and January 2023. Clinical and laboratory data were obtained via review of electronic records. RESULTS: This study involved 147 patients with an average age of 62 years, primarily females (57.14%), and mostly falling into the Obese-Class I category (31.29%). The most common comorbidities were hypertension (95.24%), dyslipidemia (62.59%), and diabetes mellitus (38.1%). In terms of CAC scores using the CT Agatston method, majority (30.61%) had low calcium buildup (Stage 2 with scores between 1-99). Approximately 26.53% had higher liver fat content with liver HU below 40, while 73.47% had lower liver fat content with HU equal to or greater than 40. Furthermore, 25.17% of patients with fatty livers and other risk factors were diagnosed with MAFLD, while 74.83% were not. The p-value indicated a significant difference in proportions, suggesting a lower proportion of MAFLD among those who had undergone CT CAC scoring. However, the Pearson Chi-Square statistic (4.051) and the p-value (0.256) indicated no statistically significant association between MAFLD and CT CAC. CONCLUSION The study found a notably lower proportion of MAFLD diagnoses in patients who underwent CT CAC scoring. Additionally, there was no statistically significant link between MAFLD and CT CAC.
Cardiovascular Diseases ; Coronary Artery Disease ; Fatty Liver, Alcoholic

BACKGROUND: Cardiac Amyloidosis is a disorder of protein misfolding and metabolism in which insoluble fibrils are deposited in the myocardial extracellular matrix causing organ dysfunction and eventually death. It can exhibit cardiac signs and symptoms, or it can be identified through screening in patients who exhibit extracardiac symptoms of amyloidosis. As there were no clear clinical signs of cardiac amyloidosis and a biopsy is required to show amyloid deposition, the condition has been historically challenging to diagnose. Thus, a high index of suspicion based on the clinical presentation and the outcomes of the preliminary testing arecrucial to determine the approach to diagnosis. CASE SUMMARY: We outline a case of 75-year-old Filipino male who was admitted due to progressive exertional dyspnea. Cardiac Amyloidosis was considered due to evaluation findings of heart failure with preserved ejection fraction with restrictive type of cardiomyopathy. This was subsequently confirmed through extracardiac fat pad biopsy, echocardiographic strain analysis and Technetium (99mTc) Pyrophosphate (PYP) single photon emission computed tomography scan (SPECT). CONCLUSION This case report discussed the red flags of clinical manifestations of cardiac amyloidosis and highlighted the use of non-invasive diagnostic modalities to diagnose the disease. Cardiac amyloidosis remains a rare entity and with emerging therapies that have the potential to improve patient outcomes, early diagnosis is really important. Having high index of suspicion based on signs and symptoms can lead to early detection and an increased number of patients being referred for treatment.
Human ; Male ; Aged: 65-79 yrs old ; Coronary Artery Disease

Background: Worldwide, coronary artery disease (CAD) is a leading cause of mortality and morbidity and remains to be a top health priority in many countries. A non-invasive imaging modality for diagnosis of CAD such as single photon emission computed tomography-myocardial perfusion imaging (SPECT-MPI) is usually requested by cardiologists as it displays radiotracer distribution in the heart reflecting myocardial perfusion. The interpretation of SPECT-MPI is done visually by a nuclear medicine physician and is largely dependent on his clinical experience and showing significant inter-observer variability. Objective: The aim of the study is to apply a deep learning approach in the classification of SPECT-MPI for perfusion abnormalities using convolutional neural networks (CNN). Methods: A publicly available anonymized SPECT-MPI from a machine learning repository (https://www.kaggle.com/ selcankaplan/spect-mpi) was used in this study involving 192 patients who underwent stress-test-rest Tc99m MPI. An exploratory approach of CNN hyperparameter selection to search for optimum neural network model was utilized with particular focus on various dropouts (0.2, 0.5, 0.7), batch sizes (8, 16, 32, 64), and number of dense nodes (32, 64, 128, 256). The base CNN model was also compared with the commonly used pre-trained CNNs in medical images such as VGG16, InceptionV3, DenseNet121 and ResNet50. All simulations experiments were performed in Kaggle using TensorFlow 2.6.0., Keras 2.6.0, and Python language 3.7.10. Results: The best performing base CNN model with parameters consisting of 0.7 dropout, batch size 8, and 32 dense nodes generated the highest normalized Matthews Correlation Coefficient at 0.909 and obtained 93.75% accuracy, 96.00% sensitivity, 96.00% precision, and 96.00% F1-score. It also obtained higher classification performance as compared to the pre-trained architectures. Conclusions The results suggest that deep learning approaches through the use of CNN models can be deployed by nuclear medicine physicians in their clinical practice to further augment their decision skills in the interpretation of SPECT-MPI tests. These CNN models can also be used as a dependable and valid second opinion that can aid physicians as a decision-support tool as well as serve as teaching or learning materials for the less-experienced physicians particularly those still in their training career. These highlights the clinical utility of deep learning approaches through CNN models in the practice of nuclear cardiology.
Coronary Artery Disease ; Deep Learning

High density lipoprotein (HDL) is an important biochemical index of clinical cardiovascular disease. Many new studies have demonstrated abnormalities of plasma HDL subfractions in patients with this disease,and their clinical significance is greater than the overall abnormalities of HDL. Therefore,the HDL subfraction as an important factor in cardiovascular disease has attracted extensive research and attention. This article summarizes current research on HDL subfractions,their measurements and their relationships with atherosclerosis and coronary artery disease.
Humans ; Cardiovascular Diseases ; Clinical Relevance ; Cholesterol, HDL ; Lipoproteins, HDL ; Coronary Artery Disease

BACKGROUND

Dual-antiplatelet therapy (DAPT) with aspirin and a P2Y12 inhibitor is the standard for the prevention of thrombotic events in patients undergoing percutaneous coronary intervention (PCI). Type 2 diabetes mellitus (DM) patients are a subgroup with a higher risk of bleeding and thrombotic events after PCI.

This meta-analysis aimed to determine whether ticagrelor monotherapy after an initial short-course DAPT is an effective and safe option in preventing thrombotic events among DM patients undergoing PC.

A systematic review and meta-analysis was done on randomized controlled trials (RCT) comparing ticagrelor monotherapy following short-course DAPT versus conventional DAPT in T2DM patients who underwent PCI. Outcome measures for major bleeding, myocardial infarction, and all-cause mortality were extracted and analyzed using a random-effects model via RevMan version 5.3.

A total of three RCTs, with 7482 patients, were analyzed. There were no significant differences in major bleeding (P = 0.26) and myocardial infarction (P = 0.66) events between the ticagrelor and DAPT groups. However, there was a higher rate of all-cause mortality in the DAPT group, which was statistically significant (risk ratio, 0.76; 95% confidence interval, 0.59–0.98; P = 0.03).

Ticagrelor monotherapy following short course DAPT and conventional DAPT have similar rates of major bleeding and myocardial infarction among DM patients undergoing PCI with DES. However, conventional DAPT has a higher incidence of all-cause mortality, which suggests that ticagrelor monotherapy after short-course DAPT may be a preferable antiplatelet strategy in DM patients undergoing PCI.

BACKGROUND: Cardiovascular disease remains one of the leading causes of death and major causes of disability and loss of productivity in adults worldwide. Inflammation is a key feature of atherosclerosis and its clinical manifestations. Because inflammation plays a key role in atherosclerosis and its end results, discovering new biomarkers of inflammation becomes important to help diagnostic accuracy and provide prognostic information about coronary artery disease (CAD). The eosinophil count and eosinophil-to-leukocyte ratio (ELR), in particular, have become novel biomarkers for risk assessment in patients with CAD. The current study aimed to evaluate the association of ELR with presence of CAD. OBJECTIVES: The aim of this study was to investigate the prognostic value and predictive performance of ELR in patients with suspected CAD. Furthermore, if proven of value, this study aims to use ELR as a biomarker for screening patients at risk for CAD for early prevention and intervention. METHODS: This is a retrospective cohort study involving a chart review of CAD suspects 40 years or older who underwent elective coronary angiogram from January 2019 to December 2019. Eosinophil-to-leukocyte ratio was calculated by dividing the number of eosinophils by the number of leukocytes. RESULTS: A total of 436 patients were included in this study. With an optimal cutoff value of 0.5 (area under the curve, 0.9911; sensitivity, 96.63%; specificity, 95.27%), ELR demonstrated efficiency in detecting CAD. CONCLUSION Patients with CAD has a higher ELR than those without CAD in the control group. Furthermore, this study supports the positive association of ELR in predicting CAD.
coronary artery disease

Objective: By identifying different metabolites in the serum and clarifying the potential metabolic disorder pathways in metabolic syndrome (MS) and stable coronary artery disease patients, to evaluate the predictive value of specific metabolites based on serum metabolomics for the occurrence of MS and coronary heart disease in overweight or obese populations. Methods: This is a retrospective cross-sectional study. Patients with Metabolic Syndrome (MS group), patients with stable coronary heart disease (coronary heart disease group), and overweight or obese individuals (control group) recruited from the Central District of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were assigned to the training set, meanwhile, the corresponding three groups of people recruited from the East District of the hospital during the same period were assigned to the validation test. The serum metabolomics profiles were determined by ultra-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Clinical characteristics (age, gender, body mass index (BMI), blood pressure, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glomerular filtration rate (eGFR), creatinine (CR)) were also collected. Based on the orthogonal partial least-squares discrimination analysis (OPLS-DA) model, the significantly changed metabolites for MS and coronary artery disease patients were screened according to variable important in projection (VIP), and the receiver operating characteristic (ROC) analysis was evaluated for the risk prediction values of changed metabolites. Results: A total of 488 subjects were recruited in this study, the training set included 40 MS, 249 coronary artery disease patients and 148 controls, the validation set included 16 MS, 18 coronary artery disease patients and 17 controls. We made comparisons of the serum metabolites of coronary artery disease vs. controls, MS vs. controls, and coronary artery disease vs. MS, and a total of 22 different metabolites were identified. The disturbed metabolic pathways involved were phospholipid metabolism, amino acid metabolism, purine metabolism and other pathways. Through cross-comparisons, we identified 2 specific metabolites for MS (phosphatidylcholine (18∶1(9Z)e/20) and pipecolic acid), 4 specific metabolites for coronary artery disease (lysophosphatidylcholine (17∶0), PC(16∶0/16∶0), hypoxanthine and histidine), and 4 common metabolites both for MS and coronary artery disease (isoleucine, phenylalanine, glutathione and LysoPC(14∶0)). Based on the cut-off values from ROC curve, the predictive value of the above metabolites for the occurrence of MS in overweight or obese populations is 100%, the predictive value for the occurrence of coronary heart disease is 87.5%, and the risk predictive value for coronary heart disease in MS patients is 82.1%. Conclusions: The altered serum metabolites suggest that MS and coronary heart disease may involve multiple metabolic pathway disorders. Specific metabolites based on serum metabolomics have good predictive value for the occurrence of MS and coronary heart disease in overweight or obese populations.
Humans ; Metabolic Syndrome ; Overweight ; Coronary Artery Disease ; Retrospective Studies ; Cross-Sectional Studies ; Obesity ; Cholesterol, HDL ; Biomarkers