Bayesian methods: a potential path forward for sepsis trials.

Background: Given the success of recent platform trials for COVID-19, Bayesian statistical methods have become an option for complex, heterogenous syndromes like sepsis. However, study design will require careful consideration of how statistical power varies using Bayesian methods across different choices for how historical data are incorporated through a prior distribution and how the analysis is ultimately conducted. Our objective with the current analysis is to assess how different uses of historical data through a prior distribution, and type of analysis influence results of a proposed trial that will be analyzed using Bayesian statistical methods.

Intracranial hemorrhage surgery on patients on mechanical circulatory support: a case series.

Background: Cardiac disease is the leading cause of death in the United States and late-stage heart failure is associated with a high level of morbidity and mortality. The ventricular assist devices and extracorporeal membrane oxygenators are the mainstay of mechanical circulatory support devices for the patients with extremely low cardiac output. However, they come at a price of significant risk factors, including intracranial hemorrhage.