Predicting Time to Death After Withdrawal of Life-Sustaining Measures Using Vital Sign Variability: Derivation and Validation

To develop a predictive model using vital sign (heart rate and arterial blood pressure) variability to predict time to death after withdrawal of life-supporting measures. DESIGN: Retrospective analysis of observational data prospectively collected as part of the Death Prediction and Physiology after...

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Detalles Bibliográficos
Autores principales: Scales, Nathan B., Herry, Christophe L., van Beinum, Amanda, Hogue, Melanie L., Hornby, Laura, Shahin, Jason, Dhanani, Sonny, Seely, Andrew J. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Predictive Modeling Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994079/
https://www.ncbi.nlm.nih.gov/pubmed/35415612
http://dx.doi.org/10.1097/CCE.0000000000000675

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8994079/
https://www.ncbi.nlm.nih.gov/pubmed/35415612
http://dx.doi.org/10.1097/CCE.0000000000000675

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