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One of the main challenges of the health crisis caused by the COVID-19 epidemic is the availability of beds in intensive care units (ICUs) and, more importantly, the need for invasive mechanical ventilation (IVM) because the ICUs are currently reserved for intubated patients.
The experiences of both China and Italy indicate that a certain number of COVID-19 patients will require mechanical ventilation. However, the limited number of resuscitation beds and ventilators requires strict use of these scarce resources. As a significant proportion about 5% to 10%, of patients initially admitted to hospital with COVID-19 will require ventilation, it is essential to anticipate their need for resuscitation to improve the rare resource of beds and ventilator shortages in intensive care units.
The hypothesis of the study is that, in proven or suspected hospitalised and oxygen-requiring COVID-19 patients, an early predictive clinical score, calculated over the three first days of admission may allow for an earlier identification of patients who will require intubation and transfer to an intensive care unit for orotracheal intubation
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Step 1: creation of the score | Cohort for the creation of clinical-biological score to predict the risk of intubation in COVID-19 |
| |
| Step 2: validation of the score | Cohort for the validation of clinical-biological score to predict the risk of intubation in COVID-19 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Data monitoring for 48h within the first 24 hours of admission for COVID-19 | Other | The admission variables and those constituting the predictive score (blood pressure, temperature, oxygenotherapy, biological analysis...) will be collected for 48 hours after enrolment (i.e within the first 24 hours of admission ) |
| Measure | Description | Time Frame |
|---|---|---|
| the number of intubations in COVID-19 patients initially hospitalised in wards | Primary outcome measure for the creation of the predictive score | up to 1 month |
| Measure | Description | Time Frame |
|---|---|---|
| the number of intubations in COVID-19 patients initially hospitalised in wards. | Secondary endpoints for validation of the predictive score | up to 1 month |
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Inclusion Criteria:
Exclusion Criteria:
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Proven or expected COVID-19 patients hospitalised in a non-intensive care unit for less than 24 hours
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| Name | Affiliation | Role |
|---|---|---|
| Antoine KIMMOUN, MD-PhD | CHRU de NANCY | Study Chair |
| Jean Damien RICARD, MD-PhD | AP-HP, Louis Mourier Hospital | Study Chair |
| Julie JOSSE, PhD | Institut National de Recherche en Informatique et en Automatique | Study Chair |
| Patrick ROSSIGNOL, MD-PhD | CHRU de NANCY | Study Chair |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Louis Mourier hospital (AP-HP) | Colombes | 92700 | France | |||
| Brabois Hospital (CHRU de Nancy) |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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|
| Vandœuvre-lès-Nancy |
| 54500 |
| France |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |