COVID-19 death predictors revealed in major hospital study
NCT ID NCT04475211
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study looked at 757 adult patients treated for COVID-19 at Lille University Hospital to find out which factors best predict death within 28 days. Researchers collected medical, lab, and imaging data to understand why some patients die and others recover. The goal is to help doctors identify high-risk patients early and improve treatment.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for SARS-COV2 are added.
By submitting, you agree to our Terms of use
Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Hop Claude Huriez Chr Lille
Lille, 59037, France
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- French ICU study reveals COVID-19 patient outcomes
- Massive study reveals COVID-19 risks for autoimmune patients
- COVID infection study in hospital staff withdrawn before start
- Can early COVID-19 drugs keep high-risk patients out of the hospital?
- COVID-19 ICU patients may face higher superbug risk
- Could a single X-Ray tame COVID-19 lung inflammation?