Safety and Outcomes with Direct Oral Anticoagulants Versus Vitamin-K Antagonists in Chronic Thromboembolic Pulmonary Hypertension: A Systematic Review, Meta-Analysis, and Meta-Regression.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a subtype of pulmonary hypertension characterized by organized thrombi inside the pulmonary vasculature, leading to an increase in pulmonary artery pressure. CTEPH is seen in about 3-4% of patients with acute pulmonary embolism and is associated with poor outcomes. Apart from surgical intervention, lifelong anticoagulation is the mainstay of CTEPH management. Traditionally, CTEPH is managed with vitamin-K antagonists (VKA); however, direct oral anticoagulants (DOACs) are recently gaining popularity. However, the current literature comparing DOACs versus VKAs in CTEPH has inconsistent results. An electronic search of the major bibliographic databases was performed to retrieve studies comparing DOACs versus VKAs in CTEPH patients. For dichotomous outcomes, the odds ratio (ORs) with 95% confidence intervals (CI) were pooled using the DerSimonian and Laird random-effects model to generate forest plots. Statistical significance was considered at P < 0.05. Ten studies were included with 3936 patients (1269 in the DOAC group and 2667 in the VKA group). Treatment with DOAC was associated with no statistically significant difference in the risk of all-cause mortality (OR, 0.78; 95% CI, 0.35-1.71; P < 0.53), venous thromboembolism (OR, 1.19; 95% CI, 0.59-2.40; P = 0.63), major bleeding (OR, 0.68; 95% CI, 0.38-1.22; P = 0.20), and clinically relevant nonmajor bleeding (OR, 1.22; 95% CI, 0.80-1.86; P = 0.37). Our analysis demonstrates that DOACs are noninferior to VKAs in terms of their safety and outcomes profile in CTEPH. Further trials are needed to evaluate more robust evidence and to compare additional outcomes.

Emergence of Artificial Intelligence and Machine Learning Models in Sudden Cardiac Arrest: A Comprehensive Review of Predictive Performance and Clinical Decision Support.

Sudden cardiac death/sudden cardiac arrest (SCD/SCA) is an increasingly prevalent cause of mortality globally, particularly in individuals with preexisting cardiac conditions. The ambiguous premortem warnings and the restricted interventional window related to SCD account for the complexity of the condition. Current reports suggest SCD to be accountable for 20% of all deaths hence accurately predicting SCD risk is an imminent concern. Traditional approaches for predicting SCA, particularly "track-and-trigger" warning systems have demonstrated considerable inadequacies, including low sensitivity, false alarms, decreased diagnostic liability, reliance on clinician involvement, and human errors. Artificial intelligence (AI) and machine learning (ML) models have demonstrated near-perfect accuracy in predicting SCA risk, allowing clinicians to intervene timely. Given the constraints of current diagnostics, exploring the benefits of AI and ML models in enhancing outcomes for SCA/SCD is imperative. This review article aims to investigate the efficacy of AI and ML models in predicting and managing SCD, particularly targeting accuracy in prediction.

Arsenic's shadowy influence: A systematic review of its carcinogenic role in gallbladder cancer.

INTRODUCTION: Gallbladder carcinoma (GBC) and cholangiocarcinoma are aggressive forms of cancer developed in the gallbladder and biliary tracts which are related to the liver. This systematic review aimed to highlight the significant association between gallbladder, biliary cancers, and arsenic exposure. METHODS: An extensive search was conducted in Embase, Cochrane, Scopus, PubMed, and Web of Science. We included studies that assessed arsenic levels in gallbladder cancer patients, without restrictions on age, sex, or language. Biological samples, such blood, bile, gallbladder tissue, gallstones, and hair were obtained, and arsenic levels were measured. Also, arsenic water and soil concentrations were collected. RESULTS: A total of 13 studies were included in our review. These studies included 2234 non-gallbladder carcinoma patients and 22 585 gallbladder carcinoma cases. The participant demographics showed a gender distribution of 862 males and 1845 females, with an age range of 20-75 years. The average body mass index (BMI) was 19.8 kg/m2 for nongallbladder carcinoma patients and 20.1 kg/m2 for gallbladder carcinoma cases. The selected studies examined arsenic concentrations across various biological samples, including blood, hair, gallstones, and bile. Blood arsenic levels ranged from 0.0002 to 0.3893 µg/g and were significantly associated with increased gallbladder carcinoma risk in several studies. Hair also demonstrated a significant correlation, with arsenic concentrations ranging from 0.0002 to 6.9801 µg/g. CONCLUSION: There is a strong link between arsenic exposure and gallbladder cancer or cholangiocarcinoma. Even chronic exposure to low-moderate amounts could lead to gallbladder carcinoma. These findings stress the need for more comprehensive and dedicated studies, to control arsenic water/soil levels and seek other preventive measures for this high mortality disease.

Association between psoriasis and atrial fibrillation: A Systematic review and meta-analysis.

INTRODUCTION: Psoriasis is a prevalent inflammatory skin condition characterized by erythematous plaques with scaling. Recent research has demonstrated an increased risk of cardiovascular diseases in patients with psoriasis; however, current evidence on atrial fibrillation (AF) risk in psoriasis is limited. MATERIALS AND METHODS: A systematic literature search was performed on major bibliographic databases to retrieve studies that evaluated AF risk in patients with psoriasis. The DerSimonian and Laird random effects model was used to pool the hazard ratios (HR) with 95 % confidence intervals (CI). Subgroup analysis was conducted by dividing the patients into mild and severe psoriasis groups. Publication bias was assessed by visual inspection and Egger's regression test. Statistical significance was set at p < 0.05. RESULTS: Seven studies were included, with 10,974,668 participants (1,94,230 in the psoriasis group and 10,780,439 in the control group). Patients with psoriasis had a significantly higher risk of AF [Pooled HR: 1.28; 95 % CI: 1.20, 1.36; p < 0.00001]. In subgroup analysis, patients with severe psoriasis [HR: 1.32; 95 % CI: 1.23, 1.42; p < 0.00001] demonstrated a slightly higher risk of AF, although statistically insignificant (p = 0.17), than the mild psoriasis group [HR: 1.21; 95 % CI: 1.10, 1.33; p < 0.0001]. Egger's regression test showed no statistically significant publication bias (p = 0.24). CONCLUSION: Our analysis demonstrated that patients with psoriasis are at a significantly higher risk of AF and hence should be closely monitored for AF. Further large-scale and multicenter randomized trials are warranted to validate the robustness of our findings.