Covid-long pathology affects a large number of patients, and represents a major medical, economic and societal challenge. To date, we have no objective criterion for a definitive diagnosis, nor any predictive tool for monitoring the evolution of Covid-long. Based on recruitment from the infectious diseases department of Nice University Hospital, the investigator's team wants to conduct an innovative pathophysiological study to better define the disease and identify specific biomarkers that could subsequently be used as a diagnostic tool for Covid-long. 120 participants will be initially included for the model learning phase: 60 controls in the CL- cohort and 60 patients in the CL+ cohort. Then 80 patients (40 CL+ and 40 Cl-) will be enrolled for the model validation phase.
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Enrollment
200
non injected brain MRI
blood samples to find immunological and inflammatory markers
CHU de NICE
Nice, France
RECRUITINGPredictive model of Covid-long
Build and validate a multivariate predictive model of Covid-long considering immunological, inflammatory and brain imaging markers.
Time frame: 24 months
Evolution of these markers over time
Comparison of data over time between cohorts (CL+ vs. CL-)
Time frame: 24 months
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