A Novel Nomogram to Predict Severity of COVID-19

Army Medical University of People's Liberation Army

Status: Completed

Conditions: Nomogram Model; COVID-19 Disease

Treatments: Other: other

Study type: Observational

Funder types: Other

Identifiers

NCT04366024

XQonc-016

Details and patient eligibility

About

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.

Enrollment: 1,000 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• COVID-19 disease patients confirmed by virus nucleic acid RT-PCR and CT

Exclusion criteria

• unconfirmed suspected cases
• Patients during pregnancy and lactation
• incomplete clinical data
• investigators considered patients ineligible for the trial
• Child patients

Trial design

1,000 participants in 1 patient group

Observed group

Description:

COVID-19 disease patients who were detected by RT-PCR and CT imaging.

Treatment:

Other: other