Performance of CURB-65, PSI, and APACHE-II for predicting COVID-19 pneumonia severity and mortality | Zendy

Junnian Chen | Zendy; Bang Liu | Zendy; Houwei Du | Zendy; Hailong Lin | Zendy; Cunrong Chen | Zendy; Shanshan Rao | Zendy; Ranjie Yu | Zendy; Jingjing Wang | Zendy; Zhiqiang Xue | Zendy; Yixian Zhang | Zendy; Yanghuang Xie | Zendy

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Performance of CURB-65, PSI, and APACHE-II for predicting COVID-19 pneumonia severity and mortality

Author(s) -

Junnian Chen,

Bang Liu,

Houwei Du,

Hailong Lin,

Cunrong Chen,

Shanshan Rao,

Ranjie Yu,

Jingjing Wang,

Zhiqiang Xue,

Yixian Zhang,

Yanghuang Xie

Publication year - 2021

Publication title -

european journal of inflammation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.219

H-Index - 20

eISSN - 2058-7392

pISSN - 1721-727X

DOI - 10.1177/20587392211027083

Subject(s) - covid-19 , pneumonia , apache ii , medicine , pneumonia severity index , severity of illness , receiver operating characteristic , mortality rate , community acquired pneumonia , outbreak , pathology , intensive care unit , disease , infectious disease (medical specialty)

No prognostic tools for the prediction of COVID-19 pneumonia severity and mortality are available. We explored whether CURB-65, PSI, and APACHE-II could predict COVID-19 pneumonia severity and mortality. We included 167 patients with confirmed COVID-19 pneumonia in this retrospective study. The severity and 30-day mortality of COVID-19 pneumonia were predicted using PSI, CURB-65, and APACHE-II scales. Kappa test was performed to compare the consistency of the three scales. There was a significant difference in the distribution of the scores of the three scales ( P < 0.001). Patients with PSI class ⩽III, CURB-65 ⩽1, and APACHE-II-I all survived. The ROC analysis showed the areas under the curve of the PSI, CURB-65, and APACHE-II scales were 0.83 (95% CI, 0.74–0.93), 0.80 (95% CI, 0.69–0.90), and 0.83 (95% CI, 0.75–0.92), respectively. Our findings suggest that PSI and CURB-65 might be useful to predict the severity and mortality of COVID-19 pneumonia.

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