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Prediction Models for Diagnosis and Prognosis of Severe COVID-19

NCT04525287 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 617

Last updated 2021-08-06

No results posted yet for this study

Summary

Clinical observation has found that COVID-19 patients often present inconsistency of clinical features, nucleic acid of the SARS-CoV-2 and imaging findings, which brings challenges to the management of patients.The quantitative assessment of patients' pulmonary lesions of chest CT, combined with the basic information, epidemiological history, clinical symptoms, basic diseases and other information of patients, will quickly establish a reliable prediction model for the severe COVID-19. This model will greatly contribute to the effective diagnosis and treatment of COVID-19.

Conditions

  • Coronavirus Infection
  • COVID19

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-02-20
Primary Completion
2020-08-20
Completion
2020-08-20

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04525287 on ClinicalTrials.gov