Raspberry Pi-Based Data Archival System for Electroencephalogram Signals From the SedLine Root Device.

Background: The retrospective analysis of electroencephalogram (EEG) signals acquired from patients under general anesthesia is crucial in understanding the patient's unconscious brain's state. However, the creation of such database is often tedious and cumbersome and involves human labor. Hence, we developed a Raspberry Pi-based system for archiving EEG signals recorded from patients under anesthesia in operating rooms (ORs) with minimal human involvement.

Trends in ICU Mortality From Coronavirus Disease 2019: A Tale of Three Surges.

Objectives: To determine the association between time period of hospitalization and hospital mortality among critically ill adults with coronavirus disease 2019.

Design: Observational cohort study from March 6, 2020, to January 31, 2021.

Setting: ICUs at four hospitals within an academic health center network in Atlanta, GA.

Timing of Intubation and Mortality Among Critically Ill Coronavirus Disease 2019 Patients: A Single-Center Cohort Study.

Objectives: Increasing time to mechanical ventilation and high-flow nasal cannula use may be associated with mortality in coronavirus disease 2019. We examined the impact of time to intubation and use of high-flow nasal cannula on clinical outcomes in patients with coronavirus disease 2019.

Design: Retrospective cohort study.