Comparison of the Efficacy and Safety of Left Atrial Appendage Closure and Direct Oral Anticoagulants for Atrial Fibrillation: A Meta-Analysis of Randomized Control Trials and Observational Studies.

The aim of this study was to compare the efficacy and safety of left atrial appendage closure (LAAC) and direct oral anticoagulants (DOACs) in patients with atrial fibrillation (AF). This meta-analysis was conducted as per the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines. Two investigators performed an online database search on PubMed, Web of Science, and Scopus databases from inception to October 31, 2023, without any language or time restrictions. Outcomes assessed in this meta-analysis included all-cause mortality, cardiovascular mortality, stroke, and major bleeding events. Eight studies were included in this meta-analysis, enrolling 7,629 participants with AF (4,287 in the DOAC group and 3,342 in the LAAC group). The pooled analysis showed that the risk of all-cause mortality was significantly higher in patients in the DOAC group compared to LAAC (relative risk (RR): 1.87, 95% confidence interval (CI): 1.50 to 2.34). The risk of cardiovascular mortality was 1.60 times higher in patients receiving DOACs compared to those receiving LAAC (RR: 1.60, 95% CI: 1.12 to 2.28). The risk of stroke was not significantly different between the two groups (RR: 1.15, 95% CI: 0.95 to 1.41). In conclusion, LAAC for AF patients proves to be safe and effective for stroke prevention, exhibiting a superior profile in terms of all-cause mortality, cardiovascular events, and major bleeding compared to oral anticoagulation (OAC). These findings prompt consideration of LAAC as a preferred treatment for cardiovascular event prevention in high-bleeding-risk patients.

Correlation between Myocardial Strain by 2-D Speckle-Tracking Echocardiography and Angiographic findings by Coronary Angiogram in Stable Angina.

Background and aims: Identification of coronary artery disease by non-invasive means is a subject of interest for all. Myocardial strain has shown some promising results. This study intends to see if change in strain value correlates with the angiographic findings in patients with stable angina. It is also assessing whether myocardial strain can predict the presence of coronary artery disease (CAD) in stable angina patients. Method: This cross-sectional study was carried out on 84 stable angina patients with no previous cardiac history and normal LV function undergoing coronary angiogram for guideline-based indication. After careful history, clinical examination and investigations, including conventional echocardiography, selected participants underwent 2-D speckle tracking echocardiography for measurement of myocardial strain by automated functional imaging. All participants underwent coronary angiogram and stenosis >70% was considered significant. Gensini score was calculated. The myocardial strain value and Gensini score were correlated. Results: Global longitudinal strain (GLS) was significantly lower in patients with significant CAD than those with non-significant CAD (-16.1±2.6% vs -19.4±2.2%; p < 0.001). The optimal cut-off value of GLS, which discriminated between patients with and without significant coronary artery disease, was -18.05% (sensitivity=81.8% and specificity=85%). Also, GLS declined incrementally with the increasing severity of CAD defined by increasing number of stenotic vessels. There was an inverse correlation between GLS and severity of CAD (expressed in Gensini score) in this study (r = 0.669, p< 0.001), meaning that GLS decreased with increasing severity of CAD. GLS remained an independent predictor for the presence of significant CAD after multivariate adjustment for other significant baseline characteristics and echocardiographic parameters. Conclusions: The myocardial strain by 2DSE correlates with the angiographic severity by coronary angiogram in patients with stable angina. It is an independent predictor of significant coronary artery disease, which it can detect with good sensitivity and specificity.

Beyond eloquence and onto centrality: a new paradigm in planning supratentorial neurosurgery.

PURPOSE: Minimizing post-operational neurological deficits as a result of brain surgery has been one of the most pertinent endeavours of neurosurgical research. Studies have utilised fMRIs, EEGs and MEGs in order to delineate and establish eloquent areas, however, these methods have not been utilized by the wider neurosurgical community due to a lack of clinical endpoints. We sought to ascertain if there is a correlation between graph theory metrics and the neurosurgical notion of eloquent brain regions. We also wanted to establish which graph theory based nodal centrality measure performs the best in predicting eloquent areas. METHODS: We obtained diffusion neuroimaging data from the Human Connectome Project (HCP) and applied a parcellation scheme to it. This enabled us to construct a weighted adjacency matrix which we then analysed. Our analysis looked at the correlation between PageRank centrality and eloquent areas. We then compared PageRank centrality to eigenvector centrality and degree centrality to see what the best measure of empirical neurosurgical eloquence was. RESULTS: Areas that are considered neurosurgically eloquent tended to be predicted by high PageRank centrality. By using summary scores for the three nodal centrality measures we found that PageRank centrality best correlated to empirical neurosurgical eloquence. CONCLUSION: The notion of eloquent areas is important to neurosurgery and graph theory provides a mathematical framework to predict these areas. PageRank centrality is able to consistently find areas that we consider eloquent. It is able to do so better than eigenvector and degree central measures.

Pharmacotherapeutic options for atypical meningiomas.

Introduction: Atypical meningiomas are aggressive tumors associated with high rates of recurrence and mortality. Current therapy is surgical resection followed by radiotherapy which has reasonable success rates. However, there are cases where surgical resection is not possible, and radiotherapy is not advisable. Areas covered: In this short review, the authors have searched the current literature for explorations of adjuvant treatments such as chemotherapy and pharmaceutical agents. Most current chemotherapeutic agents have been unsuccessful in producing radiographic reduction or disease stabilization, although drugs like somatostatin analogs and plant-derived chemotherapeutics have shown some promise. The authors note that most of the studies in this field have been case series with a few randomized trials present. This makes it hard to ascertain the effectiveness of the drugs and so further research is required in the field. Expert opinion: Finding pharmacotherapies to combat atypical meningiomas needs Big data genomic analysis. This will assist in generating drug candidates and a multidrug approach to therapy that will exploit several of the pathological pathways of atypical meningiomas. Using multidrug therapy that affects several pathways also addresses the issue of meningioma heterogeneity and adaptability.