Comparing the Incidence of Propranolol and Esmolol-Related Cardiac Arrest in Patients With Thyroid Storm: A Systematic Literature Review.

A precarious complication of thyrotoxicosis, or thyroid storm, is the increased risk of cardiomyopathy, which leads to circulatory collapse and cardiopulmonary arrest. It is crucial to promptly identify this condition to prevent significant deterioration of the left ventricular function and cardiogenic shock. This article seeks to examine published research that emphasizes the connection between thyroid storm and beta-blocker usage in relation to cardiogenic collapse and provides management recommendations.

Common Sleep Disorders in Patients With Chronic Kidney Disease: A Systematic Review on What They Are and How We Should Treat Them.

Chronic kidney disease (CKD) causes various complications that significantly impact a patient's overall well-being and quality of life. Sleep disorders are a particularly common issue, especially in patients with advanced disease. This systematic review aims to explore the distinguishing features, prevalence rates, underlying causes, and associated factors related to the most frequent sleep disorders in these patients and present the latest treatment methods for them.

A Systematic Review of the Association of Internet Gaming Disorder and Excessive Social Media Use With Psychiatric Comorbidities in Children and Adolescents: Is It a Curse or a Blessing?

Internet gaming and social media usage (SMU), particularly among children and teenagers, have witnessed a remarkable surge over the past decade. However, it remains uncertain whether this widespread usage has a positive or negative impact. The primary objective of this systematic review was to investigate the diverse effects of excessive video game playing and extensive SMU, both favorable and detrimental, on the psychological and mental well-being of children and adolescents.

A Systematic Review: Do the Use of Machine Learning, Deep Learning, and Artificial Intelligence Improve Patient Outcomes in Acute Myocardial Ischemia Compared to Clinician-Only Approaches?

Cardiovascular diseases (CVDs) present a significant global health challenge and remain a primary cause of death. Early detection and intervention are crucial for improved outcomes in acute coronary syndrome (ACS), particularly acute myocardial infarction (AMI) cases. Artificial intelligence (AI) can detect heart disease early by analyzing patient information and electrocardiogram (ECG) data, providing invaluable insights into this critical health issue.