French Single Centre Experience of Critically Ill Patients With Covid 19

NCT04354558 | Unknown

• 1 other identifier: PI2020_843_0026
• Study Type: observational
• Target: 200
• Locations: 1 country
• Sites: 1

Brief Summary

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

Conditions

Epidemiology; Sars-CoV2; COVID 19; Critical Care; Prognostic; Survival

Keywords

Epidemiology; Sars-CoV2; COVID 19; critical care; prognostic; survival

Outcome Measures

Primary Outcomes (5)

• 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

  from day 1 of admission

Study Arms (2)

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

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)
• Sampling Method: Non-Probability Sample

Study Population

Critically ill patients with SARS Cov2 admitted in ICU

You may qualify if:

• years old
• patient with positive rRT PCR of SARS Cov2 on a sample of nasopharyngeal swab
• admission in intensive care unit

You may not qualify if:

• patient under 18 years old

Sponsors & Collaborators

• Centre Hospitalier Universitaire, Amiens: lead

Study Sites (1)

CHU Amiens

Amiens, 80480, France

RECRUITING

Related Publications (2)

• 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.

  PMID: 36194473 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.

  PMID: 34874509 DERIVED

Biospecimen

Retention: SAMPLES WITHOUT DNA

alveolar liquid

MeSH Terms

Conditions

COVID-19

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases

Study Officials

• Osama Abou Arab, MD

  CHU Amiens

  PRINCIPAL INVESTIGATOR

Central Study Contacts

Osama Abou Arab, MD

CONTACT

(33)3 22 08 78 36; abouarab.osama@chu-amiens.fr

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: April 6, 2020
• First Posted: April 21, 2020
• Study Start: July 1, 2020
• Primary Completion: July 1, 2023
• Study Completion: August 1, 2023
• Last Updated: March 22, 2023

Record last verified: 2023-03

Data Sharing

• IPD Sharing: Will not share

Locations

FR (1)