Journal of intensive care · 2021
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.
Письмо в редакциюНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
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Ошибки и ограничения
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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
Аннотация
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 Japanese Intensive Care database. Discrimination and calibration of the models were poor. Revised risk prediction models are needed to assess the clinical severity of COVID-19 patients and monitor healthcare quality in ICUs overwhelmed by patients with COVID-19.