Evaluation of the discrimination and calibration of predictive scores of mortality in <scp>ECMO</scp> for patients with <scp>COVID</scp> ‐19-Reference-Cited by-同舟云学术

Evaluation of the discrimination and calibration of predictive scores of mortality in ECMO for patients with COVID ‐19

Published:2023-01-12 Issue: Volume: Page:
ISSN:0160-564X
Container-title:Artificial Organs
language:en
Short-container-title:Artificial Organs

Author:

Huespe Ivan Alfredo¹²³⁴^ORCID,Lockhart Carolina¹^ORCID,Kashyap Rahul⁴⁵⁶,Palizas Fernando⁷,Colombo Malena⁸,Romero Maria del Pilar⁸,Prado Eduardo¹,Casabella García Christian A.⁵,Las Heras Marcos¹,Carboni Bisso Indalecio¹^ORCID

Affiliation:

1. Unidad de Terapia Intensiva Adultos, Hospital Italiano de Buenos Aires Buenos Aires Argentina

2. Área de investigación en medicina Interna Hospital Italiano de Buenos Aires Buenos Aires Argentina

3. Universidad de Buenos Aires Buenos Aires Argentina

4. Global Clinical Scholars Research Trainee Harvard Medical School Boston Massachusetts USA

5. Department of Anesthesiology and Perioperative Medicine Mayo Clinic Rochester Minnesota USA

6. Department of Research WellSpan Health York Pennsylvania USA

7. Unidad de Terapia Intensiva Adultos, Clínica Bazterrica Buenos Aires Argentina

8. Instituto Universitario del Hospital Italiano Buenos Aires Argentina

Publisher

Wiley

Subject

Biomedical Engineering,General Medicine,Biomaterials,Medicine (miscellaneous),Bioengineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/aor.14493

Reference41 articles.

1. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study

2. ECMO in COVID-19 Patients: A Systematic Review and Meta-analysis

3. Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study

4. Extracorporeal Membrane Oxygenation for COVID-19: Updated 2021 Guidelines from the Extracorporeal Life Support Organization

5. Validation of survival prediction models for ECMO in Sars-CoV-2-related acute respiratory distress syndrome

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