The Wuhan team found three new crown death markers with a prediction accuracy of over 90percent

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 The Wuhan team found three new crown death markers with a prediction accuracy of over 90percent


Novel coronavirus pneumonia collected blood samples from 485 new crown pneumonia patients in Wuhan, China. These samples were collected from January 10, 2020 to February 18, 2020 in Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of science and technology.

Case classification

Performance of machine learning model in test data set

Novel coronavirus pneumonia, the level of lactate dehydrogenase, lymphocyte and hypersensitivity C reactive protein were selected as the 3 key biomarkers for identifying the patients with new crown pneumonia. The results are consistent with current medical knowledge.

In the paper, the author analyzed that the high level of LDH itself is related to tissue damage in different diseases, including pneumonia and other lung diseases. For novel coronavirus pneumonia patients, the increase of lactate dehydrogenase level indicates the degree of lung injury. The high level of high-sensitivity C-reactive protein is an important sign of the poor prognosis of acute respiratory distress syndrome, reflecting the persistent inflammatory state. In addition, the paper said, our results also show that lymphocytes may be a potential therapeutic target, which is supported by clinical research results. Novel coronavirus pneumonia is a common feature of patients with new crown pneumonia, and may be a key factor associated with disease severity and mortality, the paper states.

The authors conclude that their model can accurately and rapidly quantify the risk of death in patients with new crowns through simple, intuitive and easy to interpret clinical tests. According to the authors, the three biomarkers involved in the model can be easily collected in any hospital. This simple model can help doctors quickly prioritize patients in crowded hospitals and in situations where medical resources are scarce, especially during outbreaks where medical resources are limited.