Is the long-term mortality similar in COVID-19 and community-acquired pneumonia?
Affiliations
- 1 Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
- 2 Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
- 3 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.
- 4 Department of Medicine, University of Valencia, Valencia, Spain.
- 5 Pneumology Department, Cruces University Hospital, Barakaldo, Spain.
- 6 Department of Immunology, Microbiology and Parasitology, Facultad de Medicina y Enfermería, Universidad del País Vasco/Euskal Herriko Unibertsitatea UPV/EHU, Leioa, Spain.
- 7 Pneumology Department, Galdakao-Usansolo Hospital, Galdacano, Spain.
- 8 Department of Medicine, University of Barcelona, Barcelona, Spain.
- 9 Faculty of Health Sciences, Continental University, Huancayo, Peru.
- 10 August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
- 11 Data Science, Biostatistics and Bioinformatics, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
- 12 Department of Applied Statistics and Operational Research and Quality, Universitat Politècnica de València, Valencia, Spain.
- 13 Pneumology Department, Hospital Clinic of Barcelona, Barcelona, Spain.
- PMID: 37886363
- PMCID: PMC10598770
- DOI: 10.3389/fmed.2023.1236142
Is the long-term mortality similar in COVID-19 and community-acquired pneumonia?
Authors
Affiliations
- 1 Pneumology Department, La Fe University and Polytechnic Hospital, Valencia, Spain.
- 2 Respiratory Infections, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
- 3 Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III, Madrid, Spain.
- 4 Department of Medicine, University of Valencia, Valencia, Spain.
- 5 Pneumology Department, Cruces University Hospital, Barakaldo, Spain.
- 6 Department of Immunology, Microbiology and Parasitology, Facultad de Medicina y Enfermería, Universidad del País Vasco/Euskal Herriko Unibertsitatea UPV/EHU, Leioa, Spain.
- 7 Pneumology Department, Galdakao-Usansolo Hospital, Galdacano, Spain.
- 8 Department of Medicine, University of Barcelona, Barcelona, Spain.
- 9 Faculty of Health Sciences, Continental University, Huancayo, Peru.
- 10 August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain.
- 11 Data Science, Biostatistics and Bioinformatics, Health Research Institute La Fe (IISLAFE), Valencia, Spain.
- 12 Department of Applied Statistics and Operational Research and Quality, Universitat Politècnica de València, Valencia, Spain.
- 13 Pneumology Department, Hospital Clinic of Barcelona, Barcelona, Spain.
- PMID: 37886363
- PMCID: PMC10598770
- DOI: 10.3389/fmed.2023.1236142
Abstract
Introduction: There 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.
Methods: Retrospective 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.
Results: The 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).
Conclusion: COVID-19 and CAP have similar long-term mortality after adjusting for potential confounders.
Keywords: Bayesian; COVID-19; long-term; mortality; pneumonia.
Copyright © 2023 Méndez, González-Jiménez, Latorre, Mengot, Zalacain, Ruiz, Serrano, España, Uranga, Cillóniz, Hervás, Torres, Menéndez, NEUMONAC and RECOVID.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures

Figure 1
Approximate probability distributions for estimates…
Figure 1
Approximate probability distributions for estimates of different logistic regression model parameters for 1-year…
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