Background: Prior studies have proposed defibrillator biosignal algorithms which characterize cardiac arrest rhythm and physiologic status. We evaluated whether a novel, individualized resuscitation strategy that integrates multiple ECG and impedance-based algorithms could reduce CPR interruptions and better align rescuer actions with patient-specific physiology.
Methods: In a retrospective cohort of ventricular fibrillation out-of-hospital cardiac arrests, observed rescuer actions (rhythm analysis, shock delivery, pulse checks, and drug therapy) were compared to hypothetical actions recommended by the proposed individualized strategy.
Background: Although racial disparities have been described in resuscitation, little is known about potential bias in race classification of out-of-hospital cardiac arrest (OHCA).
Methods: We conducted a retrospective cohort study of adults treated by emergency medical services (EMS) for nontraumatic OHCA in King County, WA between January 1, 2018, and December 31, 2021. We assessed agreement using κ and evaluated patterns of missingness between EMS-assessed race versus comprehensive race classification from hospital and death records.
Introduction: Diagnosing and treating lung cancer in early stages is essential for survival outcomes. The chest X-ray (CXR) remains the primary screening tool to identify lung cancers in the UK; however, there is a shortfall of radiologists, while demand continues to increase. Image analysis by machine-learning software has the potential to support radiology workflows with a focus on immediate triage of suspicious X-rays.
View Article and Find Full Text PDFBackground/objectives: Neighborhood walkability is the extent to which built and social environments support walking. Walkability influences older adults' participation in outdoor physical activity. Identifying factors that influence physical therapists' (PTs) decisions about prescribing outdoor walking is needed, especially for those who are aging in place.
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