Emergencies
Conditions
Keywords
COVID-19, diagnostic strategy, acute dyspnea
Brief summary
This research aims to improve our knowledge of the epidemiology of patients consulting in the COvid-19 Possible REspiratory Units (RECOP unit). Indeed, the epidemic linked to COVID-19 affects France and impacts its health system. The reception of all intermediate patients will be on the Emergency Structures (SU). Indeed, the French healthcare system centralizes unscheduled urgent care on the ER. The aspecific respiratory symptomatology in intermediate patients indicates them all the more at an admission to SU or the diagnostic approach to respiratory difficulty may be carried out. A central issue of this diagnostic strategy will be to be rapid, since the diagnosis will have to be made in the context of significant flows, with a need to quickly refer patients to the most suitable downstream service, while limiting the risk contamination of caregivers and vulnerable patients if a COVID-19 + patient is admitted to an unsuitable service. However, virological tests do not currently allow rapid results for COVID-19. Research project of investigatory aims to develop a predictive model of the risk of being COVID-19 positive for patients admitted to the emergency room for acute dyspnea.
Interventions
OTHERRECOP unit patient
All patients admit in RECOP unit for dyspnea can be included in this study if patient is agree. Then, doctor collects demographic variables, the usual history and treatments, the characteristics of the episode (symptomatology, evolution, treatment taken) and the data from the initial clinical examination will be identified.
Sponsors
University Hospital, Toulouse
Study design
Observational model
COHORT
Time perspective
OTHER
Eligibility
Sex/Gender
ALL
Age
15 Years to No maximum
Healthy volunteers
No
Inclusion criteria
* All patients over 15 years admitted to the RECOP unit for dyspnea
Exclusion criteria
* Patient admitted to shock for respiratory distress requiring immediate respiratory support. * Patient under justice safeguard
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Develop a predictive model of the risk of being COVID-19 for patients admitted to the emergency room for dyspnea | inclusion day | demographic variables, usual history and treatments, episode characteristics (symptomatology, evolution, treatment taken) and data from the initial clinical examination will be collected by doctor |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Describe the characteristics of patients admitted to reCOP units according to their virological status | 30 days | The COVID-19 virological condition will be taken with PCR tests on naso-pharyngeal samples or on sputum for patients taking |
| Virological status | 30 days | Virological status will be collected by a phone call at the patient |
| Mortality status | 30 days | Mortality status will be collected by a phone call at the patient |
Countries
France
Outcome results
None listed