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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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