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

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

Abstract 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 t...

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Bibliographic Details
Main Authors: Hideki Endo, Hiroyuki Ohbe, Junji Kumasawa, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Takehiko Asaga, Eiji Hashiba, Junji Hatakeyama, Katsura Hayakawa, Nao Ichihara, Hiromasa Irie, Tatsuya Kawasaki, Hiroshi Kurosawa, Tomoyuki Nakamura, Hiroshi Okamoto, Hidenobu Shigemitsu, Shunsuke Takaki, Kohei Takimoto, Masatoshi Uchida, Ryo Uchimido, Hiroaki Miyata
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Journal of Intensive Care
Subjects:
Coronavirus disease 2019
Risk of death
Intensive care unit
Risk prediction model
Quality improvement
Online Access:https://doi.org/10.1186/s40560-021-00557-5

Internet

https://doi.org/10.1186/s40560-021-00557-5

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