Assessment of transition from use of alteplase to tenecteplase in the treatment of acute ischemic stroke in a large system of community hospitals.

Objective: Pharmacologic thrombolytic treatment for acute ischemic stroke has primarily been managed by intravenous alteplase. Tenecteplase is a variant that has been shown to be non-inferior to alteplase in clinical trials. In this study, we present a real-world assessment of patient outcomes with the facility-wide transition to the use of tenecteplase versus altepase for acute ischemic stroke in a large system of community hospitals in the United States.

Dexamethasone Dose for COVID-19 in a Large U.S. Hospital Network From April 2020 to May 2023.

Purpose: While potential harm from high doses of systemic dexamethasone for clinical management of COVID-19 is an important concern, little is known about real world dexamethasone dosing in patients hospitalized with COVID-19 in the United States.

Methods: Descriptive study to assess dexamethasone daily dose in adults with COVID-19 in a large US hospital network, overall and by respiratory support requirements, extracted using semi- structured nursing notes.

Results: Of 332 430 hospitalizations with a COVID-19 diagnosis, 201 637 (60.

Optical Properties of Biomass Burning Aerosols from Simulated Wildfires and Prescribed Fires with Representative Fuel Beds from the Southeast United States.

We report measurements of the absorption Ångström exponent (AAE) and single scattering albedo (SSA) of biomass burning aerosol from the combustion of fuel beds representing three eco-regions of the Southeast U.S. (Piedmont, Coastal Plain, and Blue Ridge Mountains) with moisture content representative of wildfires and prescribed fires.

Brown Carbon Emissions from Biomass Burning under Simulated Wildfire and Prescribed-Fire Conditions.

We investigated the light-absorption properties of brown carbon (BrC) as part of the Georgia Wildland-Fire Simulation Experiment. We constructed fuel beds representative of three ecoregions in the Southeastern U.S.

A Trial of Automated Outbreak Detection to Reduce Hospital Pathogen Spread.

Background: Detection and containment of hospital outbreaks currently depend on variable and personnel-intensive surveillance methods. Whether automated statistical surveillance for outbreaks of health care-associated pathogens allows earlier containment efforts that would reduce the size of outbreaks is unknown.

Methods: We conducted a cluster-randomized trial in 82 community hospitals within a larger health care system.