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A Novel Nomogram to Predict Severity of COVID-19

Completed
Conditions
COVID-19 Disease
Nomogram 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
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

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Observed groupotherCOVID-19 disease patients who were detected by RT-PCR and CT imaging.
Primary Outcome Measures
NameTimeMethod
the consistency of predicted severe rate and observed severe rate of COVID-19 patientsup 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 illnessup to 3 months

the duration of severe illness of each patient will evaluated

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

Xinqiao Hospital of Chongqing

🇨🇳

Chongqing, Chongqing, China

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