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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| RECOP 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. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| RECOP unit patient | Other | 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. |
| Measure | Description | Time Frame |
|---|---|---|
| Develop a predictive model of the risk of being COVID-19 for patients admitted to the emergency room for dyspnea | demographic variables, usual history and treatments, episode characteristics (symptomatology, evolution, treatment taken) and data from the initial clinical examination will be collected by doctor | inclusion day |
| Measure | Description | Time Frame |
|---|---|---|
| Describe the characteristics of patients admitted to reCOP units according to their virological status | The COVID-19 virological condition will be taken with PCR tests on naso-pharyngeal samples or on sputum for patients taking | 30 days |
| Virological status |
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Inclusion Criteria:
Exclusion Criteria:
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all patient admitted to the RECOP unit for dyspnea will be inclued in this clinical trial
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| Name | Affiliation | Role |
|---|---|---|
| Paul-Henri Auboiroux, MD | University Hospital of Toulouse | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University Hospital of Toulouse | Toulouse | 31000 | France |
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| ID | Term |
|---|---|
| D004630 | Emergencies |
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D011024 | Pneumonia, Viral |
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Virological status will be collected by a phone call at the patient |
| 30 days |
| Mortality status | Mortality status will be collected by a phone call at the patient | 30 days |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D014777 | Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |