Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures

Development and validation of the predictive risk of death model for adult patients admitted to intensive care units in Japan: an approach to improve the accuracy of healthcare quality measures

Abstract Background The Acute Physiology and Chronic Health Evaluation (APACHE) III-j model is widely used to predict mortality in Japanese intensive care units (ICUs). Although the model’s discrimination is excellent, its calibration is poor. APACHE III-j overestimates the risk of death, making its...

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Bibliographic Details
Main Authors: Hideki Endo, Shigehiko Uchino, Satoru Hashimoto, Yoshitaka Aoki, Eiji Hashiba, Junji Hatakeyama, Katsura Hayakawa, Nao Ichihara, Hiromasa Irie, Tatsuya Kawasaki, Junji Kumasawa, Hiroshi Kurosawa, Tomoyuki Nakamura, Hiroyuki Ohbe, Hiroshi Okamoto, Hidenobu Shigemitsu, Takashi Tagami, Shunsuke Takaki, Kohei Takimoto, Masatoshi Uchida, Hiroaki Miyata
Format: Article
Language:English
Published: BMC 2021-02-01
Series:Journal of Intensive Care
Subjects:
Risk of death
Risk prediction model
Recalibration
Benchmarking
Quality improvement
Quality indicator
Online Access:https://doi.org/10.1186/s40560-021-00533-z

Internet

https://doi.org/10.1186/s40560-021-00533-z

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