Bibliographic Details
| Title: |
Lung histopathologic clusters in severe COVID-19: a link between clinical picture and tissue damage |
| Authors: |
Maddalena Alessandra Wu, Gianluca Lopez, Manuela Nebuloni, Davide Ottolina, Jonathan Montomoli, Luca Carsana, Tommaso Fossali, Antonio Castelli, Roberto Rech, Chiara Cogliati, Emanuele Catena, Riccardo Colombo |
| Source: |
Critical Care, Vol 25, Iss 1, Pp 1-14 (2021) |
| Publisher Information: |
BMC, 2021. |
| Publication Year: |
2021 |
| Collection: |
LCC:Medical emergencies. Critical care. Intensive care. First aid |
| Subject Terms: |
COVID-19, Lung injury, Positive-pressure ventilation, Histology, Pneumonia, Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9 |
| More Details: |
Abstract 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 |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1364-8535 |
| Relation: |
https://doaj.org/toc/1364-8535 |
| DOI: |
10.1186/s13054-021-03846-5 |
| Access URL: |
https://doaj.org/article/f467cc1da632449898c6b38fc4d94d4b |
| Accession Number: |
edsdoj.f467cc1da632449898c6b38fc4d94d4b |
| Database: |
Directory of Open Access Journals |
