A Novel Nomogram to Predict Severity of COVID-19
1 other identifier
observational
1,000
1 country
1
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2020
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 17, 2020
CompletedFirst Submitted
Initial submission to the registry
April 21, 2020
CompletedFirst Posted
Study publicly available on registry
April 28, 2020
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2020
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2021
CompletedFebruary 23, 2024
February 1, 2024
8 months
April 21, 2020
February 22, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
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.
up to 3 months
Duration of severe illness
the duration of severe illness of each patient will evaluated
up to 3 months
Study Arms (1)
Observed group
COVID-19 disease patients who were detected by RT-PCR and CT imaging.
Interventions
Eligibility Criteria
COVID-19 disease patients
You may qualify if:
- COVID-19 disease patients confirmed by virus nucleic acid RT-PCR and CT
You may not qualify if:
- unconfirmed suspected cases
- Patients during pregnancy and lactation
- incomplete clinical data
- investigators considered patients ineligible for the trial
- Child patients
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Xinqiao Hospital of Chongqing
Chongqing, Chongqing Municipality, 400000, China
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Deputy Director,Head of Oncology department, Principal Investigator, Clinical Professor
Study Record Dates
First Submitted
April 21, 2020
First Posted
April 28, 2020
Study Start
January 17, 2020
Primary Completion
August 30, 2020
Study Completion
December 31, 2021
Last Updated
February 23, 2024
Record last verified: 2024-02