A Novel Nomogram to Predict Severity of COVID-19
- Conditions
- COVID-19 DiseaseNomogram Model
- Interventions
- Other: other
- Registration Number
- NCT04366024
- Lead Sponsor
- Xinqiao Hospital of Chongqing
- Brief Summary
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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 1000
- COVID-19 disease patients confirmed by virus nucleic acid RT-PCR and CT
- unconfirmed suspected cases
- Patients during pregnancy and lactation
- incomplete clinical data
- investigators considered patients ineligible for the trial
- Child patients
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Observed group other COVID-19 disease patients who were detected by RT-PCR and CT imaging.
- Primary Outcome Measures
Name Time Method the consistency of predicted severe rate and observed severe rate of COVID-19 patients up to 3 months 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.
Duration of severe illness up to 3 months the duration of severe illness of each patient will evaluated
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Xinqiao Hospital of Chongqing
🇨🇳Chongqing, Chongqing, China