5531773
Last Update Posted: 2024-08-29
Recruiting
All Genders accepted | 18 Years + |
2300 Estimated Participants | No Expanded Access |
Observational Study | Does not accept healthy volunteers |
Post COVID-19 Condition
The EuCARE-POSTCOVID study is an observational multicentre study enrolling COVID-19 patients recovered from the acute phase of disease to investigate the prevalence and possible predictors of post COVID-19 condition. The study will retrospectively analyze data already collected at the post COVID-19 outpatients services of the participating centers; furthermore, a prospective cohort study will be performed.
Background:
The EuCARE project includes several cohorts of patients and schools to provide an advance response to COVID-19 epidemics. The cohorts belong to different geographic areas including European countries, Kenya, Mexico, Russia and Vietnam, and will consolidate or expand interactions with other cohorts. A comprehensive multidisciplinary team of clinicians, virologists, epidemiologists, statisticians and top experts in artificial intelligence will collaborate to investigate:
- the natural and artificial immunity to the different viral variants in health care workers;
- the clinical course and long-term follow up of hospitalized COVID-19 patients to derive the role of different viral variants in the outcome of the infection, including post COVID-19 condition;
- the best strategies to control the spread of different viral variants in schools, by comparing the outcome of diverse containment and prevention measures in relation to the prevalence and dynamics of the variants.
Post COVID-19 condition is defined as the persistence or new onset of symptoms 3 months after an acute episode of COVID-19; these symptoms could last 2 or even more months and are not explained by an alternative diagnosis. The prevalence of these ongoing symptoms is very variable among the different studies, but seems high, affecting up to 50-60% of recovered patients.
Moreover, the post COVID-19 condition is described more commonly in females and more severe patients, but can be observed at all ages and in patients with a mild acute episode of COVID-19 disease.
AIMS AND OBJECTIVES The hypothesis of the study is that a relatively high proportion of patients recovered from an acute COVID-19 episode develops long-term sequelae, defined as the presence of ongoing or new onset physical and/or psychological symptoms at three months after the acute illness. These symptoms could last at least two months or even longer.
The mechanisms underpinning the post-acute and chronic manifestations of COVID-19 are not entirely understood.
The predictors of post COVID-19 condition have not yet identified, but the first evidence suggest that patients experiencing persistent symptoms, at 4-weeks or 8-weeks after the acute disease, were more likely elderly, females and hospitalized in the acute phase compared to the patients reporting symptoms for a short period of time (Carole et al, 2021).
We also hypothesized that older age, female gender, severity of disease and previous patients' comorbidities could be risk factors for the development of post COVID-19 condition.
Finally, our hypothesis is that the new variant "Omicron" could be associated with a lower inflammation and disease's severity during the acute phase and, thus, with a lower incidence of post COVID-19 condition.
Study objective:
Primary objective is to assess the incidence and risk factors of post COVID-19 condition in a cohort of recovered COVID-19 patients.
Secondary objectives are:
to evaluate the association between circulating SARS-CoV-2 variants and risk of post COVID-19 condition; to evaluate long-term residual organ damage (lung, hearth, Central Nervous System, CNS, Peripheral Nervous System, PNS) in relation to patient's characteristics and virology (variant, viral load in the acute phase).
Eligibility
Relevant conditions:
COVID-19
If you aren't sure if you meet the criteria above speak to your healthcare professional. Criteria may be updated but not reflected here, do not hesitate to contact the trial if you think are close to fitting criteria.
Inclusion criteria
Exclusion criteria
locations
Data sourced from ClinicalTrials.gov