The Effect of Outcome Selection on the Performance of Prediction Models in Patients at Risk for Sepsis

Importance:. Risk prediction models for patients with suspected sepsis have been derived on and applied to various outcomes, including readily available outcomes such as hospital mortality and ICU admission as well as longer-term mortality outcomes that may be more important to patients. It is unkno...

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Autores principales:	Stephanie P. Taylor, MD, MS, Shih-Hsiung Chou, PhD, Andrew D. McWilliams, MD, MPH, Mark Russo, MD, Alan C. Heffner, MD, Stephanie Murphy, DO, Susan L. Evans, MD, FACS, FCCM, Whitney Rossman, MS, Marc Kowalkowski, PhD, on behalf of Acute Care Outcomes Research Network (ACORN) Investigators, Ryan Brown, Larry Burke, Shih-Hsiung Chou, Kyle Cunningham, Susan L. Evans, Scott Furney, Michael Gibbs, Alan Heffner, Timothy Hetherington, Daniel Howard, Marc Kowalkowski, Scott Lindblom, Andrea McCall, Lewis McCurdy, Andrew McWilliams, Stephanie Murphy, Alfred Papali, Christopher Polk, Whitney Rossman, Michael Runyon, Mark Russo, Melanie Spencer, Brice Taylor, Stephanie Taylor
Formato:	article
Lenguaje:	EN
Publicado:	Wolters Kluwer 2020
Materias:	Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Acceso en línea:	https://doaj.org/article/f02d5b96c37e49f685dad9fb517fbbe7
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The Effect of Outcome Selection on the Performance of Prediction Models in Patients at Risk for Sepsis

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