期刊论文详细信息
Frontiers in Medicine
Is the long-term mortality similar in COVID-19 and community-acquired pneumonia?
Medicine
Antoni Torres1  David Hervás2  Catia Cillóniz3  Rafael Zalacain4  Luis A. Ruiz5  Leyre Serrano5  Pedro P. España6  Noé Mengot7  Rosario Menéndez8  Paula González-Jiménez9  Francisca Lerenas Bernal1,11  Irene Cano1,11  Ana Latorre1,11  José Portillo Sánchez1,11  Aurelio Luis Wangüemert Pérez1,11  Noelia Fernández Ramos1,11  Jaume Bordas1,11  Marco Francisco Pereyra Barrionuevo1,11  Adrián Baeza Ruiz1,11  Luis Molinos1,11  Sara Guanche Dorta1,11  Graciliano Estrada Trigueros1,11  José M. Cifrián Martínez1,11  Selene Cuenca Peris1,11  María Estela González Castro1,11  Rocío García García1,11  Diana Badenes Bonet1,11  Miguel Torres García1,11  Tara Pereiro Brea1,11  Inés Podzamczer Valls1,11  Ester Rodríguez Florez1,11  Gianna Vargas Centanaro1,11  Eva Cabrera César1,11  Miguel Ángel Salvador Maya1,11  Iván Arroyo Fernández1,11  Laura Moreno Galarraga1,11  José Joel Ruiz Lacambra1,11  Nuria Gutiérrez González1,11  Pilar Cejudo Ramos1,11  Jordi Almirall1,11  Montserrat Vendrell1,11  María José1,11  Virginia Guevara Velázquez1,11  Blanca de Vega Sánchez1,11  Elizabeth de Freitas González1,11  Paula González1,11  Iria Pérez Orbis1,11  Paloma Clavería1,11  Chourio Estaba1,11  Alba Esperanza Barrios1,11  Pilar Muñoz Zara1,11  Teresa Ramírez Prieto1,11  José Alfonso García Guerra1,11  Beatriz Raboso Moreno1,11  Javier Lázaro Sierra1,11  Ferran Eduard Barbé Illa1,11  Concepción Morales1,11  Itxaso Sayago Reza1,11  Marisol Domínguez Álvarez1,11  Rosario Menéndez Villanueva1,11  María Salome Ros Braquehais1,11  Marta María García Clemente1,11  Carolina Gotera Rivera1,11  Esther Palones Femenia1,11  Carolina Panadero1,11  Olga Rajas1,11  Estela García Coya1,11  Alejandra Marín Arguedas1,11  Luisa Ramón Clar1,11  David de la Rosa Carrillo1,11  María del Mar Marrube Fernández1,11  Rosa Malo1,11  Manuel Villanueva Montes1,11  MªLuisa Briones1,11  Andrea Expósito Marrero1,11  Marina Galdeano Lozano1,11  Oriol Sibila Vidal1,11  María Molina Molina1,11  Luis Borderías1,11  Araceli Abad1,11  Berta Román Bernal1,11  Santiago de Jorge Domínguez Pazos,1,11  Abigail Macias Paredes1,11  Juan Marco Figueira Gonçalves1,11  María Dolores Martínez Pitarch1,11  Juan Luis Rodríguez Hermosa1,11  Celia Ruiz Pérez1,11  Amelia Alzueta Álvarez1,11  Eduardo Solís García1,11  Mirella Gaboli1,11  Salvador Bello1,11  Pedro Pablo España Yandiola1,11  Laura Villar Aguilar1,11  Anna Clara1,11  Ricard Ferrer1,11  Wanda Almonte Batista1,11  Rosa Malo de Molina Ruiz1,11  Patricia Peñacoba Toribio1,11  Cecilia López Ramírez1,11  Pilar Martínez Olondris1,11  Raúl Méndez1,11  Eli N. Pérez-Rodas1,11  Nuria Toledo Pons1,11  Margarita Martín Royo1,11  Ana Pando-Sandoval1,11  Nikita Gurbani1,11  Rafael Zalacaín1,11  Virginia Almadana Pacheco1,11  Claudia Valenzuela1,11  Isabel Mir1,11  Pedro Pablo España1,11  Ane Uranga1,11 
[1] Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain;Department of Medicine, University of Barcelona, Barcelona, Spain;August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain;Pneumology Department, Hospital Clinic of Barcelona, Barcelona, Spain;Data Science, Biostatistics and Bioinformatics, Health Research Institute La Fe (IISLAFE), Valencia, Spain;Department of Applied Statistics and Operational Research and Quality, Universitat Politècnica de València, Valencia, Spain;Department of Medicine, University of Barcelona, Barcelona, Spain;Faculty of Health Sciences, Continental University, Huancayo, Peru;August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain;Pneumology Department, Cruces University Hospital, Barakaldo, Spain;Pneumology Department, Cruces University Hospital, Barakaldo, Spain;Department of Immunology, Microbiology and Parasitology, Facultad de Medicina y Enfermería, Universidad del País Vasco/Euskal Herriko Unibertsitatea UPV/EHU, Leioa, Spain;Pneumology Department, Galdakao-Usansolo Hospital, Galdacano, Spain;Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain;Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain;Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain;Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain;Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain;Department of Medicine, University of Valencia, Valencia, Spain;Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain;Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain;Department of Medicine, University of Valencia, Valencia, Spain;Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain;null;
关键词: long-term;    mortality;    COVID-19;    pneumonia;    Bayesian;   
DOI  :  10.3389/fmed.2023.1236142
 received in 2023-06-07, accepted in 2023-09-18,  发布年份 2023
来源: Frontiers
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【 摘 要 】

IntroductionThere are no data on the association of type of pneumonia and long-term mortality by the type of pneumonia (COVID-19 or community-acquired pneumonia [CAP]) on long-term mortality after an adjustment for potential confounding variables. We aimed to assess the type of pneumonia and risk factors for long-term mortality in patients who were hospitalized in conventional ward and later discharged.MethodsRetrospective analysis of two prospective and multicentre cohorts of hospitalized patients with COVID-19 and CAP. The main outcome under study was 1-year mortality in hospitalized patients in conventional ward and later discharged. We adjusted a Bayesian logistic regression model to assess associations between the type of pneumonia and 1-year mortality controlling for confounders.ResultsThe study included a total of 1,693 and 2,374 discharged patients in the COVID-19 and CAP cohorts, respectively. Of these, 1,525 (90.1%) and 2,249 (95%) patients underwent analysis. Until 1-year follow-up, 69 (4.5%) and 148 (6.6%) patients from the COVID-19 and CAP cohorts, respectively, died (p = 0.008). However, the Bayesian model showed a low probability of effect (PE) of finding relevant differences in long-term mortality between CAP and COVID-19 (odds ratio 1.127, 95% credibility interval 0.862–1.591; PE = 0.774).ConclusionCOVID-19 and CAP have similar long-term mortality after adjusting for potential confounders.

【 授权许可】

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Copyright © 2023 Méndez, González-Jiménez, Latorre, Mengot, Zalacain, Ruiz, Serrano, España, Uranga, Cillóniz, Hervás, Torres, Menéndez, NEUMONAC and RECOVID.

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