COVID-19 Disease, Nomogram Model
Conditions
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.
Interventions
OTHERother
clinical diagnosis
Sponsors
Xinqiao Hospital of Chongqing
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Duration of severe illness | up to 3 months | the duration of severe illness of each patient will evaluated |
| 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. |
Countries
China
Outcome results
None listed