Risk Factors for Patient–Ventilator Asynchrony and Its Impact on Clinical Outcomes: Analytics Based on Deep Learning Algorithm

Background and objectives: Patient–ventilator asynchronies (PVAs) are common in mechanically ventilated patients. However, the epidemiology of PVAs and its impact on clinical outcome remains controversial. The current study aims to evaluate the epidemiology and risk factors of PVAs and their impact...

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Detalles Bibliográficos
Autores principales: Ge, Huiqing, Duan, Kailiang, Wang, Jimei, Jiang, Liuqing, Zhang, Lingwei, Zhou, Yuhan, Fang, Luping, Heunks, Leo M. A., Pan, Qing, Zhang, Zhongheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724969/
https://www.ncbi.nlm.nih.gov/pubmed/33324663
http://dx.doi.org/10.3389/fmed.2020.597406

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724969/
https://www.ncbi.nlm.nih.gov/pubmed/33324663
http://dx.doi.org/10.3389/fmed.2020.597406

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