Early Detection of Clinical Deterioration in Patients With COVID-19 Using Machine Learning

University Hospital Tuebingen1 site in 1 country1,000 target enrollmentFebruary 1, 2021

ConditionsCovid19

Overview

Phase: Not Applicable
Intervention: Not specified
Conditions: Covid19
Sponsor: University Hospital Tuebingen
Enrollment: 1000
Locations: 1
Primary Endpoint: Probability of Participants for Hospitalisation or Fatal Outcome
Last Updated: 5 years ago

Overview Investigators Eligibility Criteria Outcomes Sites Similar Trials

Overview

Brief Summary

The aim of this study is to use artificial intelligence in the form of machine learning analysing vital signs as well as symptoms of patients suffering from Covid19 to identify predictors of disease progression and severe course of disease.

Registry

clinicaltrials.gov

Start Date

February 1, 2021

End Date

December 31, 2021

Last Updated

5 years ago

Study Type

Observational

Sex

All

Investigators

Sponsor

University Hospital Tuebingen

Responsible Party

Sponsor

Eligibility Criteria

Inclusion Criteria

•Written informed consent
•Age \>= 18 years
•Detection of SARS-CoV2 within the past 5 days

Exclusion Criteria

•Inability to measure vital parameters and document symptoms

Outcomes

Primary Outcomes

Probability of Participants for Hospitalisation or Fatal Outcome

Time Frame: Detection of severe acute respiratory syndrome- Corona Virus 2 (SARS-CoV2) to recovery, hospitalisation or fatal outcome up to 5 weeks

Secondary Outcomes

Influence of different SARS-CoV2 vaccines on the course of disease/ clinical outcome(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Probability of Participants for Fatal Outcome(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Evaluation of parameters (symptoms, vital parameters, comorbidities) according to their potential of clinical course predictions(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Influence of size of training data set(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Influence of viral load on the course of disease/ clinical outcome(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Probability of Participants for Intensive Care Unit Admission(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Prediction of persisting health impairment by using standardized questionnaires(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Detection of symptoms, vital parameters and comorbidities predicting clinical course(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Influence of different virus variants on the course of disease/ clinical outcome(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Influence of SARS-CoV2 vaccination (yes/no) on the course of disease/ clinical outcome(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)
Probability of Participants for hospitalisation(Detection of SARS-CoV2 to recovery, hospitalisation or fatal outcome up to 5 weeks)