Selected article for: "predictive power and present study"

Author: Li Tan; Xia Kang; Xinran Ji; Qi Wang; Yongsheng li; Qiongshu Wang; Hongming Miao
Title: Validation of reported risk factors for disease classification and prognosis in COVID-19: a descriptive and retrospective study
  • Document date: 2020_4_7
  • ID: j90jc0rj_33
    Snippet: In the present study, basing on the information of 132 patients with COVID-19, we analyzed the predictive power of several reported indicators for disease severity and prognosis in a descriptive manner. We found that CRP, PCT, IL-6, LYM%, lactic acid and viral load could predict prognosis and guide classification of COVID-19 patients in different degrees. CRP, IL-6 and LYM% were more effective than other three factors in predicting prognosis. CRP.....
    Document: In the present study, basing on the information of 132 patients with COVID-19, we analyzed the predictive power of several reported indicators for disease severity and prognosis in a descriptive manner. We found that CRP, PCT, IL-6, LYM%, lactic acid and viral load could predict prognosis and guide classification of COVID-19 patients in different degrees. CRP, IL-6 and LYM% were more effective than other three factors in predicting prognosis. CRP and LYM% were sensitive in identifying the types between critically ill and severe (or moderate). Notably, among the investigated factors, LYM% was the only one that could distinguish between the severe and moderate types.

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