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Since the outbreak of a syndrome of acute respiratory distress associated to a novel coronavirus 2 (SARS-Cov2) that began in China, Europe and France have to face a sanitary emergency with critically care support when the patient evolves to an acute respiratory distress (ARDS). In the context of supply shortages (ventilators, bed capacities) that countries have to deal with, data were lacking of characteristics and outcomes of patients admitted to intensive care unit (ICU). the purpose of this project is to report the epidemiology and the outcomes of a French cohort of critically ill patients with SARS-Cov2
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| survival patients | The cohort will be dichotomised in survival/non-survival groups according to the issue during ICU stay | ||
| non-survival patients | The cohort will be dichotomised in survival/non-survival groups according to the issue during ICU stay |
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| Measure | Description | Time Frame |
|---|---|---|
| Variation of age between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | Variation of age between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | from day 1 of admission |
| Variation of medical history between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | Variation of medical history between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | from day 1 of admission |
| Variation of chronic drug used between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | Variation of chronic drug used between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | from day 1 of admission |
| Variation of chest CT scan at admission, between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | Variation of chest CT scan at admission, between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | from day 1 of admission |
| Variation of respiratory support at ICU admission, between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU | Variation of respiratory support at ICU admission, between critically ill patients with SARS Cov2 admitted in ICU with non critically ill patients with SARS Cov2 admitted in ICU |
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Inclusion Criteria:
Exclusion Criteria:
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Critically ill patients with SARS Cov2 admitted in ICU
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| Name | Affiliation | Role |
|---|---|---|
| Osama Abou Arab, MD | CHU Amiens | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU Amiens | Amiens | 80480 | France |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 36194473 | Derived | Beyls C, Huette P, Viart C, Mestan B, Haye G, Guilbart M, Bernasinski M, Besserve P, Leviel F, Witte Pfister A, De Dominicis F, Jounieaux V, Berna P, Dupont H, Abou-Arab O, Mahjoub Y. Mortality of COVID-19 Patients Requiring Extracorporeal Membrane Oxygenation During the Three Epidemic Waves. ASAIO J. 2022 Dec 1;68(12):1434-1442. doi: 10.1097/MAT.0000000000001787. Epub 2022 Oct 2. | |
| 34874509 |
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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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alveolar liquid
| from day 1 of admission |
| Derived |
| Beyls C, Hermida A, Bohbot Y, Martin N, Viart C, Boisgard S, Daumin C, Huette P, Dupont H, Abou-Arab O, Mahjoub Y. Automated left atrial strain analysis for predicting atrial fibrillation in severe COVID-19 pneumonia: a prospective study. Ann Intensive Care. 2021 Dec 7;11(1):168. doi: 10.1186/s13613-021-00955-w. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |