Investigators use clinical data from a large sample of COVID-19 disease patients to screen out biomarkers associated with disease severity. Then, a novel nomogram model will be established to predict covid-19 disease severity, which could provide important assistance and supplement for clinical work. In the case of extremely shortage of front-line medical resources, patients with potential severe diseases will be timely treated with the help of the novel nomogram model.
Study Type
OBSERVATIONAL
Enrollment
1,000
clinical diagnosis
Xinqiao Hospital of Chongqing
Chongqing, Chongqing Municipality, China
the consistency of predicted severe rate and observed severe rate of COVID-19 patients
We aim to use the clinical data of COVID-19 patients to construct a nomogram model to predict the severe rate of each patient, then the the consistency of predicted severe rate and observed severe rate will be evaluated by calibration plot.
Time frame: up to 3 months
Duration of severe illness
the duration of severe illness of each patient will evaluated
Time frame: up to 3 months
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