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Methodology of a Large Multicenter Observational Study of Patients with COVID-19 in Spanish Intensive Care Units

INTRODUCTION: The COVID-19 pandemic created tremendous challenges for health-care systems. Intensive care units (ICU) were hit with a large volume of patients requiring ICU admission, mechanical ventilation, and other organ support with very high mortality. The Centro de Investigación Biomédica en R...

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Detalles Bibliográficos
Autores principales: Torres, Antoni, Motos, Anna, Ceccato, Adrián, Bermejo-Martin, Jesús, de Gonzalo-Calvo, David, Pérez, Raquel, Barroso, Marta, Pascual, Ion Zubizarreta, Gonzalez, Jessica, Fernández-Barat, Laia, Ferrer, Ricard, Riera, Jordi, García-Gasulla, Dario, Peñuelas, Oscar, Lorente, José Ángel, Almansa, Raquel, Menéndez, Rosario, Kiarostami, Kasra, Canseco, Joan, Villar, Rosario Amaya, Añón, José M., Mariño, Ana Balan, Barberà, Carme, Barberán, José, Ortiz, Aaron Blandino, Boado, Maria Victoria, Bustamante-Munguira, Elena, Caballero, Jesús, Cantón-Bulnes, María Luisa, Pérez, Cristina Carbajales, Carbonell, Nieves, Catalán-González, Mercedes, de Frutos, Raúl, Franco, Nieves, Galbán, Cristóbal, Gumucio-Sanguino, Víctor D., Torre, María del Carmen de la, Díaz, Emili, Estella, Ángel, Gallego, Elena, Garmendia, José Luis García, Gómez, José M., Huerta, Arturo, García, Ruth Noemí Jorge, Loza-Vázquez, Ana, Marin-Corral, Judith, Delgado, María Cruz Martin, Gándara, Amalia Martínez de la, Varela, Ignacio Martínez, Messa, Juan López, Albaiceta, Guillermo M., Nieto, Maite, Novo, Mariana Andrea, Peñasco, Yhivian, Pérez-García, Felipe, Pozo-Laderas, Juan Carlos, Ricart, Pilar, Sagredo, Víctor, Sánchez-Miralles, Ángel, Chinesta, Susana Sancho, Serra-Fortuny, Mireia, Socias, Lorenzo, Solé-Violan, Jordi, Suárez-Sipmann, Fernando, Lomas, Luis Tamayo, Trenado, José, Úbeda, Alejandro, Valdivia, Luis Jorge, Vidal, Pablo, Barbé, Ferran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier España, S.L.U. on behalf of SEPAR. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012512/
https://www.ncbi.nlm.nih.gov/pubmed/35491287
http://dx.doi.org/10.1016/j.arbres.2022.03.010
Descripción
Sumario:INTRODUCTION: The COVID-19 pandemic created tremendous challenges for health-care systems. Intensive care units (ICU) were hit with a large volume of patients requiring ICU admission, mechanical ventilation, and other organ support with very high mortality. The Centro de Investigación Biomédica en Red-Enfermedades Respiratorias (CIBERES), a network of Spanish researchers to investigate in respiratory disease, commissioned the current proposal in response to the Instituto de Salud Carlos III (ISCIII) call. METHODS: CIBERESUCICOVID is a multicenter, observational, prospective/retrospective cohort study of patients with COVID-19 admitted to Spanish ICUs. Several work packages were created, including study population and ICU data collection, follow-up, biomarkers and miRNAs, data management and quality. RESULTS: This study included 6102 consecutive patients admitted to 55 ICUs homogeneously distributed throughout Spain and the collection of blood samples from more than 1000 patients. We enrolled a large population of COVID-19 ICU-admitted patients including baseline characteristics, ICU and MV data, treatments complications, and outcomes. The in-hospital mortality was 31%, and 76% of patients required invasive mechanical ventilation. A 3-6 month and 1 year follow-up was performed. Few deaths after 1 year discharge were registered. Low anti-SARS-CoV-2 S antibody levels predict mortality in critical COVID-19. These antibodies contribute to prevent systemic dissemination of SARS-CoV-2. The severity of COVID-19 impacts the circulating miRNA profile. Plasma miRNA profiling emerges as a useful tool for risk-based patient stratification in critically ill COVID-19 patients. CONCLUSIONS: We present the methodology used in a large multicenter study sponsored by ISCIII to determine the short- and long-term outcomes in patients with COVID-19 admitted to more than 50 Spanish ICUs.