Prediction of Unfavourable Outcome in Newly Covid-19 Hospitalized Patient

N/ACompletedNCT04412031

Hospices Civils de Lyon802 enrolled

Overview

The project is a part of the "Protocol for a multicentre study of nosocomial SARS-CoV2 transmission: The NOSO-COR Project" registered in ClinicalTrials (NCT04290780). In the current pandemic context, medical resources have often been exceeded. Developing, using artificial intelligence techniques, an algorithm capable of detecting patients at risk of acute respiratory distress following Sars-Cov2 infection could help physicians to optimize the treatment of patients and health decision-makers to optimize resources. Thus, the goal of this project is to create a prediction model using artificial intelligence to predict an unfavorable evolution of Covid-19 at the hospital admission of patients

Study Type

OBSERVATIONAL

Enrollment

802

Conditions

to Predict an Unfavorable Evolution of Covid-19 at the Hospital Admission of Patients

Interventions

non applicableOTHER

non applicable

Medical Language ↔ Plain English

Inclusion Criteria: * Participant must be 18 years or older at the time of signing the informed consent * Volunteer patients, care givers and healthcare professionals in France and hospitals affiliated with the GABRIEL network. Demographic and clinical data will be collected using case-report forms designed especially for the purpose of the project. * A nasopharyngeal swab will be collected and tested for SARS-CoV2 by RT-PCR. * Admission to hospital Exclusion Criteria: * Age lower than 18 years old * Patients protected by the law

Prediction of Unfavourable Outcome in Newly Covid-19 Hospitalized Patient

Overview

Conditions

Interventions

Eligibility

Locations (1)

Outcomes

Primary Outcomes