MedTrace Logo

Development and Validation of a Prediction Model for the Transition From Mild to Moderate Form of COVID-19, Using Data From Chest CT

NCT04481620 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1329

Last updated 2022-04-12

No results posted yet for this study

Summary

Only 5% of patients infected with COVID-19 develop severe or critical Coronavirus disease 2019 (COVID-19) and there is no reliable risk stratification tool for non-severe COVID-19 patients at admission.

Finding a way to predict which patients with an initial mild to moderate presentation of COVID-19 would develop severe or critical form of COVID-19 according to CT-scan data, simple clinical and biological parameters is challenging. In this multicentric study, the study aims to construct a predictive score for early identification of cases at high risk of progression to moderate, severe or critical COVID-19 combining simple clinical and biological parameters and qualitative, quantitative or artificial intelligence (AI) data from the initial CT from non-severe patients.

Conditions

Sponsors & Collaborators

  • Programme Hospitalier de Recherche Clinique Inter-Régionale (PHRC-I)

    collaborator UNKNOWN

  • University Hospital, Bordeaux

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-31
Primary Completion
2021-05-04
Completion
2021-05-04

Countries

  • France

Study Locations

More Related Trials

Entities

Diseases

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 NCT04481620 on ClinicalTrials.gov