Virk, Hafeez Ul Hassan

ABSTRACT Cardiogenic shock (CS) remains a high morbidity and mortality condition worldwide frequently complicating acute myocardial infarction (AMI) and decompensated heart failure (HF). Within the management of CS, mechanical circulatory support (MCS) devices play a critical role in maintaining hemodynamic stability, preserving end‐organ perfusion and bridging patients through to recovery, implantation of durable support or transplantation. Despite their use, optimal timing of initiation, as well as patient and device selection remain unclear. This review explores the current landscape of MCS devices, surrounding evidence and key distinctions between devices. With increasing acknowledgment for the heterogeneity of CS, understanding the strengths and limitations of each device remains crucial to improving outcomes in this high‐risk population.

Introduction: Data on outcomes between unfractionated heparin and bivalirudin anticoagulation during percutaneous coronary intervention (PCI) in acute coronary syndromes remain inconclusive. We aimed to systematically analyze PCI outcomes by comparing unfractionated heparin and bivalirudin. Methods: We systematically searched Ovid MEDLINE, Ovid Embase, Ovid Cochrane Database of Systematic Reviews, Scopus, and Web of Science from database inception in 1966 through January 2024 for studies evaluating PCI outcomes comparing unfractionated heparin and bivalirudin. Two investigators independently reviewed the data. Conflicts were resolved through consensus. Random-effects meta-analyses were used. Results: A total of 10 prospective trials were identified that enrolled 42,253 individuals who presented with an acute coronary syndrome. Our analysis found that heparin when compared to bivalirudin was associated with an increased risk of trial-based definition of major bleeding [relative risk (RR): 1.68, 95% confidence interval (CI): 1.29–2.20], nonaccess site complications (RR: 4.6, 95% CI: 1.75–12.09), thrombolysis in myocardial infarction major bleeding (RR: 1.70, 95% CI: 1.20–2.41), major bleeding risks (RR: 1.87, 95% CI: 1.49–2.36), cardiovascular disease death (RR: 1.26, 95% CI: 1.02–1.57), and thrombocytopenia (RR: 1.67, 95% CI: 1.07–2.62). There were no statistically significant differences between heparin and bivalirudin for all-cause mortality, major adverse cardiovascular event, stroke, reinfarction, target vessel revascularization, and acute or stent thrombosis. Conclusions: The present meta-analysis demonstrates bivalirudin reduces major bleeding when used for anticoagulation during PCI in patients with acute coronary syndromes and is not associated with an increased risk of stent thrombosis or major adverse cardiovascular event.

Artificial intelligence, specifically advanced language models such as ChatGPT, have the potential to revolutionize various aspects of healthcare, medical education, and research. In this review, we evaluate the myriad applications of artificial intelligence in diverse healthcare domains. We discuss its potential role in clinical decision-making, exploring how it can assist physicians by providing rapid, data-driven insights for diagnosis and treatment. We review the benefits of artificial intelligence such as ChatGPT in personalized patient care, particularly in geriatric care, medication management, weight loss and nutrition, and physical activity guidance. We further delve into its potential to enhance medical research, through the analysis of large datasets, and the development of novel methodologies. In the realm of medical education, we investigate the utility of artificial intelligence as an information retrieval tool and personalized learning resource for medical students and professionals.

Bifurcation lesions account for 20% of all percutaneous coronary interventions and represent a complex subset which are associated with lower procedural success and higher rates of restenosis [...]

The utilization of transcatheter aortic valve implantation (TAVI) has become the treatment of choice in patients with severe aortic stenosis (AS) with intermediate-to-high surgical risk for surgical aortic valve replacement (SAVR) [...]

Primary care has the potential to be transformed by artificial intelligence (AI) and, in particular, machine learning (ML). This review summarizes the potential of ML and its subsets in influencing two domains of primary care: pre-operative care and screening. ML can be utilized in preoperative treatment to forecast postoperative results and assist physicians in selecting surgical interventions. Clinicians can modify their strategy to reduce risk and enhance outcomes using ML algorithms to examine patient data and discover factors that increase the risk of worsened health outcomes. ML can also enhance the precision and effectiveness of screening tests. Healthcare professionals can identify diseases at an early and curable stage by using ML models to examine medical pictures, diagnostic modalities, and spot patterns that may suggest disease or anomalies. Before the onset of symptoms, ML can be used to identify people at an increased risk of developing specific disorders or diseases. ML algorithms can assess patient data such as medical history, genetics, and lifestyle factors to identify those at higher risk. This enables targeted interventions such as lifestyle adjustments or early screening. In general, using ML in primary care offers the potential to enhance patient outcomes, reduce healthcare costs, and boost productivity.

Nonalcoholic fatty liver disease (NAFLD) and cardiovascular diseases are both highly prevalent conditions around the world, and emerging data have shown an association between them. This review found several longitudinal and cross-sectional studies showing that NAFLD was associated with coronary artery disease, cardiac remodeling, aortic valve remodeling, mitral annulus valve calcifications, diabetic cardiomyopathy, diastolic cardiac dysfunction, arrhythmias, and stroke. Although the specific underlying mechanisms are not clear, many hypotheses have been suggested, including that metabolic syndrome might act as an upstream metabolic defect, leading to end-organ manifestations in both the heart and liver. Management of NAFLD includes weight loss through lifestyle interventions or bariatric surgery, and pharmacological interventions, often targeting comorbidities. Although there are no Food and Drug Administration–approved nonalcoholic steatohepatitis-specific therapies, several drug candidates have demonstrated effect in the improvement in fibrosis or nonalcoholic steatohepatitis resolution. Further studies are needed to assess the effect of those interventions on cardiovascular outcomes, the major cause of mortality in patients with NAFLD. In conclusion, a more comprehensive, multidisciplinary approach to diagnosis and management of patients with NAFLD and cardiovascular diseases is needed to optimize clinical outcomes.

Introduction: Theobromine is a naturally occurring substance found in cocoa products. Theobromine may have beneficial cardiovascular effects through various mechanisms. We used the NHANES database to analyze associations between theobromine consumption and cardiovascular health outcomes. Methods: The NHANES database represents a nationally representative population which was used to construct the study population from 1996-2016. We assessed multiple demographic factors and compared differences amongst those who consumed various amounts of theobromine to those who did not. The primary outcome measures were hypertension and lipid profiles. Results: Among 42,038 NHANES survey participants, 37569 and 4469 of the participants reported never consuming theobromine and consuming theobromine, respectively. Table 1 demonstrates baseline characteristics of those reporting no theobromine consumption in comparison to the theobromine consuming participants (100-400md/g and 400-850mg/d). Moderate to high amounts of theobromine consumption was observed in participants who were older with higher BMI and more education and were more likely to be tobacco users in comparison to those with no theobromine consumption (all p-values <0.05). Moderate to high theobromine consumption was also observed to be associated with a higher hemoglobin level, higher LDL cholesterol, lower HDL cholesterol, and prevalence of hypertension (all p-values <0.05). Conclusions: We observed that individuals who consumed moderate to high amounts of theobromine had associated improvements in lipid profile parameters as well as reduced blood pressure. Theobromine may represent a complementary non-pharmacologic supplementation to typical lifestyle modifications to improve cardiovascular outcomes. Further prospective studies are needed to better clarify this potential association.