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 PMID:33353548  

Prognostic value of bedside lung ultrasound score in patients with COVID-19.

Li Ji | Chunyan Cao | Ying Gao | Wen Zhang | Yuji Xie | Yilian Duan | Shuangshuang Kong | Manjie You | Rong Ma | Lili Jiang | Jie Liu | Zhenxing Sun | Ziming Zhang | Jing Wang | Yali Yang | Qing Lv | Li Zhang | Yuman Li | Jinxiang Zhang | Mingxing Xie
Critical care (London, England) | 2020

Bedside lung ultrasound (LUS) has emerged as a useful and non-invasive tool to detect lung involvement and monitor changes in patients with coronavirus disease 2019 (COVID-19). However, the clinical significance of the LUS score in patients with COVID-19 remains unknown. We aimed to investigate the prognostic value of the LUS score in patients with COVID-19.

Pubmed ID: 33353548

Research resources used in this publication

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Associated grants

  • Agency: National Natural Science Foundation of China, International
    Id: Grant Nos. 81727805
  • Agency: National Natural Science Foundation of China, International
    Id: Grant Nos. 81401432
  • Agency: National Natural Science Foundation of China, International
    Id: Grant Nos. 81922033

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MedCalc (tool)

RRID:SCR_015044

Statistical software for ROC curve analysis. MedCalc performs several statistical tests such as method comparison, method evaluation, reference intervals, and meta-analysis.

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