Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care

Since the start of the coronavirus disease 2019 (COVID-19) pandemic, it has remained unknown whether conventional risk prediction tools used in intensive care units are applicable to patients with COVID-19. Therefore, we assessed the performance of established risk prediction models using the Japane...

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Detalles Bibliográficos
Autores principales: Endo, Hideki, Ohbe, Hiroyuki, Kumasawa, Junji, Uchino, Shigehiko, Hashimoto, Satoru, Aoki, Yoshitaka, Asaga, Takehiko, Hashiba, Eiji, Hatakeyama, Junji, Hayakawa, Katsura, Ichihara, Nao, Irie, Hiromasa, Kawasaki, Tatsuya, Kurosawa, Hiroshi, Nakamura, Tomoyuki, Okamoto, Hiroshi, Shigemitsu, Hidenobu, Takaki, Shunsuke, Takimoto, Kohei, Uchida, Masatoshi, Uchimido, Ryo, Miyata, Hiroaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169380/
https://www.ncbi.nlm.nih.gov/pubmed/34074343
http://dx.doi.org/10.1186/s40560-021-00557-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8169380/
https://www.ncbi.nlm.nih.gov/pubmed/34074343
http://dx.doi.org/10.1186/s40560-021-00557-5

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