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OpenTrials
Completed

NCT Number: NCT04412031

Prediction of Unfavourable Outcome in Newly Covid-19 Hospitalized Patient

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

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Key information

Conditions

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

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hôpital E Herriot - Hospices Civils de LYON

Lyon, 69437, France

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Non applicable

Other

non applicable

Primary outcomes

  1. Need of mechanical ventilation, transfer to an intensive care unit or death within 21 days of admission.

    Time frame: within 21 days

Sponsors and collaborators

Lead sponsor

Hospices Civils de Lyon

Other

Registry information

Official study title

Bayesian Network to Predict Transfer in Intensive Care Units or Death in Newly Covid-19 Hospitalized Patient

Acronym: PredictCovid19

Important dates

Study start
2019
Primary completion
2020
Study completion
2020
First posted
Jun 2, 2020
Registry last updated
Jun 2, 2020

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.