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https://hdl.handle.net/2445/219579
Title: | Clustering patients with COVID-19 according to respiratory support requirements, and its impact on short- and long-term outcome (RECOVID study) |
Author: | Menéndez, Rosario Méndez, Raúl Latorre, Ana González Jiménez, Paula Peces Barba, Germán Molina Molina, María España, Pedro Pablo García, Estela Consuegra Vanegas, Angélica García Clemente, Marta María Panadero, Carolina Figueira Gonçalves, Juan Marco Rosa Carrillo, David De La Sibila, Oriol Martínez Pitarch, María Dolores Toledo Pons, Nuria López Ramírez, Cecilia Almonte Batista, Wanda Macías Paredes, Abigail Villamon, Mercedes Domínguez Álvarez, Marisol Pérez Rodas, Eli Nancy Lázaro, Javier Quirós, Sarai Cordovilla, Rosa Cano Pumarega, Irene Torres Martí, Antoni On Behalf Of Recovid |
Keywords: | COVID-19 Teràpia respiratòria COVID-19 Respiratory therapy |
Issue Date: | 3-Jan-2025 |
Publisher: | Informa UK Limited |
Abstract: | IntroductionThe Spanish Society of Pulmonology and Thoracic Surgery created a registry for hospitalised patients with COVID-19 and the different types of respiratory support used (RECOVID). Objectives. To describe the profile of hospitalised patients with COVID-19, comorbidities, respiratory support treatments and setting. In addition, we aimed to identify varying profiles of patients according to outcomes and the complexity of respiratory support needed.MethodsMulticentre, observational study in 49 Spanish hospitals. A protocol collected demographic data, comorbidities, respiratory support, treatment setting and 1-year follow-up. Patients were described using either frequency and percentages or median and interquartile range, as appropriate. A cluster analysis made it possible to identify different types of profile among the patients.ResultsIn total, 2148 of 2454 hospitalised patients (87.5%) received care in the conventional ward, whilst 126 in IRCU and 180 in ICU. In IRCU, 30% required high-flow nasal oxygen whilst 25%, non-invasive mechanical ventilation and 17%, mechanical ventilation. Four clusters of patients were identified. Two clusters were more likely to require IRCU/ICU admission, although primarily Cluster 2: Cluster (C) 1 consisted of patients without comorbidities and C2, those with comorbidities. Both presented higher inflammatory levels and lower lymphocyte count and SpO2/FiO2; however, C2 showed worse values. Two different clusters identified patients requiring less complex respiratory support. C3 presented higher comorbidities and elevated lymphocyte count, SpO2/FiO2 and low C-reactive protein (CRP). C4 included those without comorbidities except for arterial hypertension, lymphopenia and an intermediate CRP. In-hospital mortality and subsequent 1-year mortality were greater for C2 (28.6% and 7.1%) and C1 (11.1%, 8.3%) than for C4 (3.3%, 1.8%) and C3 (0%, 0%).ConclusionsThe cluster analysis identified four clinical phenotypes requiring distinct types of respiratory support, with great differences present per characteristics and outcomes. |
Note: | Reproducció del document publicat a: https://doi.org/10.1080/25310429.2024.2442175 |
It is part of: | Pulmonology, 2025, vol. 31, num. 1 |
URI: | https://hdl.handle.net/2445/219579 |
Related resource: | https://doi.org/10.1080/25310429.2024.2442175 |
ISSN: | 2531-0437 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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Clustering patients with COVID-19 according to respiratory support requirements and its impact on short- and long-term outcome RECOVID study .pdf | 2.23 MB | Adobe PDF | View/Open |
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