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Clinical Characteristics and Prognostic Factors of Patients With COVID-19 (Coronavirus Disease 2019)
Sponsor: Savana Research
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)
Official title: Clinical Characteristics and Prognostic Factors of Patients With COVID-19 Using Big Data and Artificial Intelligence Techniques (BigCoviData)
Key Details
Gender
All
Age Range
Any - Any
Study Type
OBSERVATIONAL
Enrollment
100000
Start Date
2020-01-01
Completion Date
2024-02-28
Last Updated
2026-05-01
Healthy Volunteers
No
Conditions
Locations (2)
Hospital Universitario de Guadalajara
Guadalajara, Guadalajara, Spain
Hospital Universitario La Princesa
Madrid, Madrid, Spain