Current Cardiology Reviews最新文献

Thirty percent of deaths worldwide are caused by cardiovascular disorders (CVDs). As per the WHO data, the number of fatalities due to CVDs is 17.9 million years, and it is projected to cause 22.2 million deaths by 2030. In terms of gender, women die from CVD at a rate of 51% compared to 42% for males. Most people use phytochemicals, a type of traditional medicine derived from plants, either in addition to or instead of commercially available medications to treat and prevent CVD. Phytochemicals are useful in lowering cardiovascular risks, especially for lowering blood cholesterol, lowering obesity-related factors, controlling blood sugar and the consequences of type 2 diabetes, controlling oxidative stress factors and inflammation, and preventing platelet aggregation. Medicinal plants that are widely known for treating CVD include ginseng, ginkgo biloba, ganoderma lucidum, gynostemma pentaphyllum, viridis amaranthus, etc. Plant sterol, flavonoids, polyphenols, sulphur compound and terpenoid are the active phytochemicals present in these plants. The aim of this article is to cover more and more drugs that are used for cardiovascular diseases. In this article, we will learn about the use of different herbal drugs, mechanism of action, phytochemical compounds, side effects, etc. However, more research is required to comprehend the process and particular phytochemicals found in plants that treat CVD.

Radiation exposure poses a substantial occupational risk for healthcare professionals in the catheterization laboratory (cath lab). The escalating complexity and frequency of interventional procedures, such as cardiac catheterizations and percutaneous coronary interventions, underscore the need for innovative strategies to mitigate radiation exposure. While traditional measures like lead aprons, thyroid collars, and goggles have been pivotal in reducing radiation exposure, they have limitations, especially during prolonged and intricate procedures. Consequently, there is a growing demand for advanced radiation protection methods that prioritize safety without compromising procedural efficacy. Recent strides in radiation protection technology have given rise to novel shielding devices and zero-radiation approaches tailored for cath lab use. The novel shields leverage innovative materials and designs to achieve superior attenuation of both scattered and direct radiation. Their ergonomic and adjustable features also ensure optimal shielding coverage without impeding the operator's skill or workflow. Multiple studies have validated the effectiveness of these advanced radiation protection methods in diminishing occupational radiation exposure in the cath lab. Initial findings suggest a significant reduction in doses for operators and staff, potentially lowering the risk of radiation-induced health complications over the long term. This article provides a comprehensive review of the current landscape of radiation protection shields in the cath lab, emphasizing the efficacy and potential of these cuttingedge shielding technologies.

Recent endeavors have led to the exploration of Machine Learning (ML) to enhance the detection and accurate diagnosis of heart pathologies. This is due to the growing need to improve efficiency in diagnostics and hasten the process of delivering treatment. Several institutions have actively assessed the possibility of creating algorithms for advancing our understanding of atrial fibrillation (AF), a common form of sustained arrhythmia. This means that artificial intelligence is now being used to analyze electrocardiogram (ECG) data. The data is typically extracted from large patient databases and then subsequently used to train and test the algorithm with the help of neural networks. Machine learning has been used to effectively detect atrial fibrillation with more accuracy than clinical experts, and if applied to clinical practice, it will aid in early diagnosis and management of the condition and thus reduce thromboembolic complications of the disease. In this text, a review of the application of machine learning in the analysis and detection of atrial fibrillation, a comparison of the outcomes (sensitivity, specificity, and accuracy), and the framework and methods of the studies conducted have been presented.

Background: Cardiovascular diseases (CVDs) continue to be the primary cause of mortality globally and invariably in India as well. The rapid upsurge in the prevalence of CVDs in India has created a pressing need to promote contemporary, sustainable, and cost-effective interventions to tackle the CVD burden. This systematic review integrates the research-based evidence of the cost-effectiveness of various interventions that can be adapted to control CVDs in India.

Methods: Databases, namely, PubMed, Cochrane Library, Embase, and Google Scholar, were searched for data on the economic evaluation of interventions targeting CVD based on the Indian population for a period of 30 years (1991-2021). Two reviewers assessed the articles for eligibility, and data were extracted from the shortlisted articles as per a predefined template, including the quantification of methodological aspects.

Results: In total, 1249 studies were examined, out of which 23 completely met the inclusion criteria for full-text review. A total of 16 studies were based solely on the Indian population, while the rest (7) included South Asia/Asia for the intervention, of which India was a participant nation. Most of the economic evaluations targeted treatment-based or pharmacological interventions (14) for CVDs. The evaluations were based on Decision-based models (10), Randomized controlled Trials (RCTs) (9), and Observational studies (4). The cost-effectiveness ratio for the included studies exhibited a diverse range due to variations in methodological approaches, such as differences in study settings, populations, and inconsistencies in study design. The mean ICER (Incremental Cost-effectiveness ratio) for primordial and primary preventions was found to be 3073.8 (US $2022) and 17489.9 (US $2022), respectively. Moreover, the combined mean value for secondary and tertiary prevention was 2029.6 (US$2022).

Conclusion: The economic evidence of public health interventions are expanding, but their focus is restricted towards pharmacological interventions. There is an urgency to emphasize primordial and primary prevention for better outcomes in health economics decision-making. Technology- based avenues for intervention need more exploration in order to cater to a large population like India.

Female carriers of Duchenne Muscular Dystrophy (DMD) carry a heterozygous pathogenic variant in the dystrophin gene and can transmit pathogenic variants to their offspring. DMD is an X-linked recessive disease that affects up to 19.8 in every 100,000 male births. Those carriers with symptoms can be referred to as women with dystrophinopathy. Even among asymptomatic carriers, cardiac involvement can be verified in between 2.5% and 75% through echocardiography. The most commonly affected wall of the left ventricle is the inferolateral, with myocardial fibrosis detected by cardiac nuclear resonance. Therefore, screening is recommended for these women carriers due to the risk of cardiomyopathy. There is a lack of longitudinal studies on the evolution of these carriers. In this article, data on clinical presentation, cardiac assessment for female patients with dystrophinopathy and DMD carriers, and approaches for these patients are discussed.

Ischemic heart disease (IHD) is a pathology of global interest because it is widespread and has high morbidity and mortality. IHD pathophysiology involves local and systemic changes, including lipidomic, proteomic, and inflammasome changes in serum plasma. The modulation in these metabolites is viable in the pre-IHD, during the IHD period, and after management of IHD in all forms, including lifestyle changes and pharmacological and surgical interventions. Therefore, these biochemical markers (metabolite changes; lipidome, inflammasome, proteome) can be used for early prevention, treatment strategy, assessment of the patient's response to the treatment, diagnosis, and determination of prognosis. Lipidomic changes are associated with the severity of inflammation and disorder in the lipidome component, and correlation is related to disturbance of inflammasome components. Main inflammasome biomarkers that are associated with coronary artery disease progression include IL-1β, Nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3 (NLRP3), and caspase-1. Meanwhile, the main lipidome biomarkers related to coronary artery disease development involve plasmalogen lipids, lysophosphatidylethanolamine (LPE), and phosphatidylethanolamine (PE). The hypothesis of this paper is that the changes in the volatile organic compounds associated with inflammasome and lipidome changes in patients with coronary artery disease are various and depend on the severity and risk factor for death from cardiovascular disease in the time span of 10 years. In this paper, we explore the potential origin and pathway in which the lipidome and or inflammasome molecules could be excreted in the exhaled air in the form of volatile organic compounds (VOCs).

Background: Follistatin-like proteins (FSTLs) are adipomyokines secreted by adipocytes and myocytes. Previous studies have reported an increase in circulating FSTL1 levels in response to cardiovascular injuries. In this study, we conducted a systematic review and metaanalysis to assess the association between circulating FSTLs and Cardiovascular Diseases (CVDs).

Methods: We performed a comprehensive literature search using PubMed, Web of Science, Scopus, and Embase databases. After screening the articles, we selected eligible studies, extracted relevant data, and calculated the pooled Standardized Mean Difference (SMD). We also conducted a sensitivity analysis to identify sources of heterogeneity and assessed publication bias.

Results: Among the 577 articles initially retrieved, we included 5 studies comprising a total of 941 cases with CVDs and 446 controls. All included studies measured FSTL1 levels. The pooled SMD analysis revealed a significant difference in circulating FSTL1 levels between subjects with CVDs and control groups (SMD = 0.853, 95% CI = 0.158-1.548, P = 0.016). Heterogeneity was primarily attributed to a single study that measured FSTL1 levels in heart failure patients with preserved ejection fraction. No publication bias was observed.

Conclusion: Our findings demonstrate significantly higher levels of FSTL1 in patients with CVD compared to control subjects. This suggests that FSTL1 may have potential as a diagnostic and prognostic biomarker in CVDs. However, further well-designed studies are needed to validate its clinical utility.

Cardiac amyloidosis (CA) is an infiltrative disease characterized by the deposition of misfolded proteins in cardiac interstitial tissue. Interest towards studying this pathology has been growing in the last decade, as new epidemiological insights have revealed that it is not as uncommon as previously believed. Likewise, advances in non-invasive diagnostic approaches and the identification of molecules that modify its long-term progression, even in terms of mortality, have also bolstered interest in CA. Despite this global panorama, in Venezuela, limitations remain regarding the diagnosis of CA, partly associated with a lack of knowledge of the disease. Therefore, additional efforts are necessary for clinical cardiologists to hone their diagnostic skills regarding this disease, as opportune identification is an essential step for its effective management.

There is debate on the best treatment for significant stenoses of the left main (LM) coronary artery. The available evidence is based on four randomized trials, which were either performed specifically to assess patients with LM disease (EXCEL, NOBLE, PRECOMBAT) or had a significant fraction of patients with this disease pattern (SYNTAX). A meta-analysis revealed no difference in periprocedural and 5-year mortality but demonstrated a significant reduction of spontaneous myocardial infarction (MI) with CABG. Furthermore, the recently published SWEDEHEART registry data have shown survival advantage and fewer MACCE with CABG for LM disease after adjustment. In general, patients with more severe coronary artery disease (CAD) appear to have a survival advantage with CABG both over PCI and medical therapy (independent of the presence or absence of LM stenosis), which is always associated with a reduction of spontaneous MI in the CABG arm. Since the nomenclature of LM disease does not automatically reflect the complexity of CAD, we review the nature of LM disease in this article. We mechanistically assess the treatment effects of PCI and CABG for patients with LM disease, which is rarely isolated, often distal, and mostly associated with varying degrees of single and multi-vessel disease. We conclude that in patients with isolated LM shaft lesions and associated diseases of low complexity, the risk of spontaneous MI is lower, and PCI may achieve similar long-term outcomes compared to CABG. Thus, heart teams are essential for selecting the best treatment option and should focus on assessing infarction risk in chronic CAD.