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Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage
BACKGROUND: Autoptic pulmonary findings have been described in severe COVID-19 patients, but evidence regarding the correlation between clinical picture and lung histopathologic patterns is still weak. METHODS: This was a retrospective cohort observational study conducted at the referral center for...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667540/ https://www.ncbi.nlm.nih.gov/pubmed/34903264 http://dx.doi.org/10.1186/s13054-021-03846-5 |
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author | Wu, Maddalena Alessandra Lopez, Gianluca Nebuloni, Manuela Ottolina, Davide Montomoli, Jonathan Carsana, Luca Fossali, Tommaso Castelli, Antonio Rech, Roberto Cogliati, Chiara Catena, Emanuele Colombo, Riccardo |
author_facet | Wu, Maddalena Alessandra Lopez, Gianluca Nebuloni, Manuela Ottolina, Davide Montomoli, Jonathan Carsana, Luca Fossali, Tommaso Castelli, Antonio Rech, Roberto Cogliati, Chiara Catena, Emanuele Colombo, Riccardo |
author_sort | Wu, Maddalena Alessandra |
collection | PubMed |
description | BACKGROUND: Autoptic pulmonary findings have been described in severe COVID-19 patients, but evidence regarding the correlation between clinical picture and lung histopathologic patterns is still weak. METHODS: This was a retrospective cohort observational study conducted at the referral center for infectious diseases in northern Italy. Full lung autoptic findings and clinical data of patients who died from COVID-19 were analyzed. Lung histopathologic patterns were scored according to the extent of tissue damage. To consider coexisting histopathologic patterns, hierarchical clustering of histopathologic findings was applied. RESULTS: Whole pulmonary examination was available in 75 out of 92 full autopsies. Forty-eight hospitalized patients (64%), 44 from ICU and four from the medical ward, had complete clinical data. The histopathologic patterns had a time-dependent distribution with considerable overlap among patterns. Duration of positive-pressure ventilation (p < 0.0001), mean positive end-expiratory pressure (PEEP) (p = 0.007), worst serum albumin (p = 0.017), interleukin 6 (p = 0.047), and kidney SOFA (p = 0.001) differed among histopathologic clusters. The amount of PEEP for long-lasting ventilatory treatment was associated with the cluster showing the largest areas of early and late proliferative diffuse alveolar damage. No pharmacologic interventions or comorbidities affected the lung histopathology. CONCLUSIONS: Our study draws a comprehensive link between the clinical and pulmonary histopathologic findings in a large cohort of COVID-19 patients. These results highlight that the positive end-expiratory pressures and the duration of the ventilatory treatment correlate with lung histopathologic patterns, providing new clues to the knowledge of the pathophysiology of severe SARS-CoV-2 pneumonia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03846-5. |
format | Online Article Text |
id | pubmed-8667540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-86675402021-12-14 Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage Wu, Maddalena Alessandra Lopez, Gianluca Nebuloni, Manuela Ottolina, Davide Montomoli, Jonathan Carsana, Luca Fossali, Tommaso Castelli, Antonio Rech, Roberto Cogliati, Chiara Catena, Emanuele Colombo, Riccardo Crit Care Research BACKGROUND: Autoptic pulmonary findings have been described in severe COVID-19 patients, but evidence regarding the correlation between clinical picture and lung histopathologic patterns is still weak. METHODS: This was a retrospective cohort observational study conducted at the referral center for infectious diseases in northern Italy. Full lung autoptic findings and clinical data of patients who died from COVID-19 were analyzed. Lung histopathologic patterns were scored according to the extent of tissue damage. To consider coexisting histopathologic patterns, hierarchical clustering of histopathologic findings was applied. RESULTS: Whole pulmonary examination was available in 75 out of 92 full autopsies. Forty-eight hospitalized patients (64%), 44 from ICU and four from the medical ward, had complete clinical data. The histopathologic patterns had a time-dependent distribution with considerable overlap among patterns. Duration of positive-pressure ventilation (p < 0.0001), mean positive end-expiratory pressure (PEEP) (p = 0.007), worst serum albumin (p = 0.017), interleukin 6 (p = 0.047), and kidney SOFA (p = 0.001) differed among histopathologic clusters. The amount of PEEP for long-lasting ventilatory treatment was associated with the cluster showing the largest areas of early and late proliferative diffuse alveolar damage. No pharmacologic interventions or comorbidities affected the lung histopathology. CONCLUSIONS: Our study draws a comprehensive link between the clinical and pulmonary histopathologic findings in a large cohort of COVID-19 patients. These results highlight that the positive end-expiratory pressures and the duration of the ventilatory treatment correlate with lung histopathologic patterns, providing new clues to the knowledge of the pathophysiology of severe SARS-CoV-2 pneumonia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13054-021-03846-5. BioMed Central 2021-12-13 /pmc/articles/PMC8667540/ /pubmed/34903264 http://dx.doi.org/10.1186/s13054-021-03846-5 Text en © The Author(s) 2021 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 Wu, Maddalena Alessandra Lopez, Gianluca Nebuloni, Manuela Ottolina, Davide Montomoli, Jonathan Carsana, Luca Fossali, Tommaso Castelli, Antonio Rech, Roberto Cogliati, Chiara Catena, Emanuele Colombo, Riccardo Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title | Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title_full | Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title_fullStr | Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title_full_unstemmed | Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title_short | Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
title_sort | lung histopathologic clusters in severe covid-19: a link between clinical picture and tissue damage |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667540/ https://www.ncbi.nlm.nih.gov/pubmed/34903264 http://dx.doi.org/10.1186/s13054-021-03846-5 |
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