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Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza
BACKGROUND: Influenza viruses cause seasonal epidemics worldwide with a significant morbimortality burden. Clinical spectrum of Influenza is wide, being respiratory failure (RF) one of its most severe complications. This study aims to elaborate a clinical prediction rule of RF in hospitalized Influe...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684757/ https://www.ncbi.nlm.nih.gov/pubmed/36419130 http://dx.doi.org/10.1186/s12931-022-02245-w |
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author | Ayuso, Blanca Lalueza, Antonio Arrieta, Estibaliz Romay, Eva María Marchán-López, Álvaro García-País, María José Folgueira, Dolores Gude, María José Cueto, Cecilia Serrano, Antonio Lumbreras, Carlos |
author_facet | Ayuso, Blanca Lalueza, Antonio Arrieta, Estibaliz Romay, Eva María Marchán-López, Álvaro García-País, María José Folgueira, Dolores Gude, María José Cueto, Cecilia Serrano, Antonio Lumbreras, Carlos |
author_sort | Ayuso, Blanca |
collection | PubMed |
description | BACKGROUND: Influenza viruses cause seasonal epidemics worldwide with a significant morbimortality burden. Clinical spectrum of Influenza is wide, being respiratory failure (RF) one of its most severe complications. This study aims to elaborate a clinical prediction rule of RF in hospitalized Influenza patients. METHODS: A prospective cohort study was conducted during two consecutive Influenza seasons (December 2016–March 2017 and December 2017–April 2018) including hospitalized adults with confirmed A or B Influenza infection. A prediction rule was derived using logistic regression and recursive partitioning, followed by internal cross-validation. External validation was performed on a retrospective cohort in a different hospital between December 2018 and May 2019. RESULTS: Overall, 707 patients were included in the derivation cohort and 285 in the validation cohort. RF rate was 6.8% and 11.6%, respectively. Chronic obstructive pulmonary disease, immunosuppression, radiological abnormalities, respiratory rate, lymphopenia, lactate dehydrogenase and C-reactive protein at admission were associated with RF. A four category-grouped seven point-score was derived including radiological abnormalities, lymphopenia, respiratory rate and lactate dehydrogenase. Final model area under the curve was 0.796 (0.714–0.877) in the derivation cohort and 0.773 (0.687–0.859) in the validation cohort (p < 0.001 in both cases). The predicted model showed an adequate fit with the observed results (Fisher’s test p > 0.43). CONCLUSION: we present a simple, discriminating, well-calibrated rule for an early prediction of the development of RF in hospitalized Influenza patients, with proper performance in an external validation cohort. This tool can be helpful in patient’s stratification during seasonal Influenza epidemics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02245-w. |
format | Online Article Text |
id | pubmed-9684757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96847572022-11-25 Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza Ayuso, Blanca Lalueza, Antonio Arrieta, Estibaliz Romay, Eva María Marchán-López, Álvaro García-País, María José Folgueira, Dolores Gude, María José Cueto, Cecilia Serrano, Antonio Lumbreras, Carlos Respir Res Research BACKGROUND: Influenza viruses cause seasonal epidemics worldwide with a significant morbimortality burden. Clinical spectrum of Influenza is wide, being respiratory failure (RF) one of its most severe complications. This study aims to elaborate a clinical prediction rule of RF in hospitalized Influenza patients. METHODS: A prospective cohort study was conducted during two consecutive Influenza seasons (December 2016–March 2017 and December 2017–April 2018) including hospitalized adults with confirmed A or B Influenza infection. A prediction rule was derived using logistic regression and recursive partitioning, followed by internal cross-validation. External validation was performed on a retrospective cohort in a different hospital between December 2018 and May 2019. RESULTS: Overall, 707 patients were included in the derivation cohort and 285 in the validation cohort. RF rate was 6.8% and 11.6%, respectively. Chronic obstructive pulmonary disease, immunosuppression, radiological abnormalities, respiratory rate, lymphopenia, lactate dehydrogenase and C-reactive protein at admission were associated with RF. A four category-grouped seven point-score was derived including radiological abnormalities, lymphopenia, respiratory rate and lactate dehydrogenase. Final model area under the curve was 0.796 (0.714–0.877) in the derivation cohort and 0.773 (0.687–0.859) in the validation cohort (p < 0.001 in both cases). The predicted model showed an adequate fit with the observed results (Fisher’s test p > 0.43). CONCLUSION: we present a simple, discriminating, well-calibrated rule for an early prediction of the development of RF in hospitalized Influenza patients, with proper performance in an external validation cohort. This tool can be helpful in patient’s stratification during seasonal Influenza epidemics. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12931-022-02245-w. BioMed Central 2022-11-24 2022 /pmc/articles/PMC9684757/ /pubmed/36419130 http://dx.doi.org/10.1186/s12931-022-02245-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ayuso, Blanca Lalueza, Antonio Arrieta, Estibaliz Romay, Eva María Marchán-López, Álvaro García-País, María José Folgueira, Dolores Gude, María José Cueto, Cecilia Serrano, Antonio Lumbreras, Carlos Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title | Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title_full | Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title_fullStr | Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title_full_unstemmed | Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title_short | Derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
title_sort | derivation and external validation of a simple prediction rule for the development of respiratory failure in hospitalized patients with influenza |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9684757/ https://www.ncbi.nlm.nih.gov/pubmed/36419130 http://dx.doi.org/10.1186/s12931-022-02245-w |
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