Official Title
Clinical Characteristics and Prognostic Factors of Patients With COVID-19 Using Big Data and Artificial Intelligence Techniques (BigCoviData)
Brief Summary

This is a multicenter, non-interventional, retrospective study using data captured in the EHRs (Electronic Health Records) of the participating hospital sites to determine factors that predict disease prognosis and outcomes in COVID-19 patients, specifically: Hospitalization/Off-site monitoring, transfer to ICU and/or need for medical mechanical ventilation (both invasive and non- invasive), length of ICU stay, and outcome (cure/ hospital discharge, in-hospital death)

Detailed Description

Data captured in the EHRs will be collected from all available departments, including
inpatient hospital, outpatient hospital, emergency room, etc. for virtually all types of
provided services in each participating site. The study period will be from January 1, 2020
to the most recent data available.

- Primary objective To determine factors that predict disease prognosis and outcomes in
COVID-19 patients, specifically: Hospitalization/Off-site monitoring, transfer to ICU
and/or need for medical mechanical ventilation (both invasive and non- invasive), length
of ICU stay, and outcome (cure/ hospital discharge, in-hospital death)

- Secondary objectives

- To describe the demographic and clinical characteristics of COVID-19 patients

- To describe the patient management (treatment and procedures) in the target
population

- To describe the outcomes of COVID-19 (discharge, hospitalization, transfer to ICU/
mechanical medical ventilation, in-hospital death) in relation to patients'
clinical and demographic characteristics, and treatment received

- To determine whether the factors that predict COVID-19 prognosis and outcome also
apply to other types of pneumonia.

- Exploratory objectives One of the goals of this study is to configure the Big Data
system to unravel any hidden variable/s (and their associations) that may offer novel
clinical insights into COVID-19 management.

Active, not recruiting
Covid-19 Infection
Eligibility Criteria

Inclusion Criteria:

- All patients with suspected COVID-19 infection, as captured in the patients' EHRs of
the participating sites.

Exclusion Criteria:

- Not suspected COVID-10 infection

Eligibility Gender
All
Eligibility Age
Minimum: N/A ~ Maximum: N/A
Countries
Spain
Locations

Hospital Universitario de Guadalajara
Guadalajara, Spain

Hospital Universitario La Princesa
Madrid, Spain

Castilla-La Mancha Health Service
NCT Number
Keywords
Artificial Intelligence
Electronic health record
Intensive care unit
Natural Language Processing
Machine learning
Real-world evidence
SARS-CoV-2 (Severe Acute respiratory syndrome Coronavirus 2)
Covid-19
MeSH Terms
COVID-19