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社区医院环境中 COVID-19 住院患者的快速 COVID-19 严重程度指数和布雷西亚-COVID 呼吸严重程度量表的性能。

Performance of the quick COVID-19 severity index and the Brescia-COVID respiratory severity scale in hospitalized patients with COVID-19 in a community hospital setting.

机构信息

Department of Internal Medicine, AMITA Health Saint Francis Hospital, Evanston, Illinois, USA.

Department of Internal Medicine, AMITA Health Saint Francis Hospital, Evanston, Illinois, USA.

出版信息

Int J Infect Dis. 2021 Jan;102:571-576. doi: 10.1016/j.ijid.2020.11.003. Epub 2020 Nov 9.

DOI:10.1016/j.ijid.2020.11.003
PMID:33181332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7833674/
Abstract

OBJECTIVE

To evaluate the performance of the Quick COVID-19 Severity Index (qCSI) and the Brescia-COVID Respiratory Severity Scale (BCRSS) in predicting intensive care unit (ICU) admissions and in-hospital mortality in patients with coronavirus disease 2019 (COVID-19) pneumonia.

METHODS

This was a retrospective cohort study of 313 consecutive hospitalized adult patients (18 years or older) with confirmed COVID-19. The area under the receiver operating characteristic curve (AUC) was used to assess the discriminatory power of the qCSI score and BCRSS prediction rule compared to the CURB-65 score for predicting mortality and intensive care unit admission.

RESULTS

The overall in-hospital fatality rate was 32.3%, and the ICU admission rate was 31.3%. The CURB-65 score had the highest numerical AUC to predict in-hospital mortality (AUC 0.781) compared to the qCSI score (AUC 0.711) and the BCRSS prediction rule (AUC 0.663). For ICU admission, the qCSI score had the highest numerical AUC (AUC 0.761) compared to the BCRSS prediction rule (AUC 0.735) and the CURB-65 score (AUC 0.629).

CONCLUSIONS

The CURB-65 and qCSI scoring systems showed a good performance for predicting in-hospital mortality. The qCSI score and the BCRSS prediction rule showed a good performance for predicting ICU admission.

摘要

目的

评估快速 COVID-19 严重指数(qCSI)和布雷西亚-COVID 呼吸严重程度评分(BCRSS)在预测 2019 冠状病毒病(COVID-19)肺炎患者入住重症监护病房(ICU)和院内死亡率方面的性能。

方法

这是一项对 313 例连续住院的成年 COVID-19 患者(18 岁或以上)进行的回顾性队列研究。使用接受者操作特征曲线(ROC)下面积(AUC)评估 qCSI 评分和 BCRSS 预测规则与 CURB-65 评分在预测死亡率和 ICU 入院方面的区分能力。

结果

总的院内病死率为 32.3%,ICU 入院率为 31.3%。CURB-65 评分预测院内死亡率的 AUC 数值最高(AUC 0.781),其次是 qCSI 评分(AUC 0.711)和 BCRSS 预测规则(AUC 0.663)。对于 ICU 入院,qCSI 评分的 AUC 数值最高(AUC 0.761),其次是 BCRSS 预测规则(AUC 0.735)和 CURB-65 评分(AUC 0.629)。

结论

CURB-65 和 qCSI 评分系统在预测院内死亡率方面表现良好。qCSI 评分和 BCRSS 预测规则在预测 ICU 入院方面表现良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/7833674/609146c5afe8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/7833674/0597190c5d6e/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/7833674/609146c5afe8/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/7833674/0597190c5d6e/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a7c/7833674/609146c5afe8/gr2_lrg.jpg

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