A quantitative analysis of extension and distribution of lung injury in COVID-19 : a prospective study based on chest computed tomography
© 2021. The Author(s)..
BACKGROUND: Typical features differentiate COVID-19-associated lung injury from acute respiratory distress syndrome. The clinical role of chest computed tomography (CT) in describing the progression of COVID-19-associated lung injury remains to be clarified. We investigated in COVID-19 patients the regional distribution of lung injury and the influence of clinical and laboratory features on its progression.
METHODS: This was a prospective study. For each CT, twenty images, evenly spaced along the cranio-caudal axis, were selected. For regional analysis, each CT image was divided into three concentric subpleural regions of interest and four quadrants. Hyper-, normally, hypo- and non-inflated lung compartments were defined. Nonparametric tests were used for hypothesis testing (α = 0.05). Spearman correlation test was used to detect correlations between lung compartments and clinical features.
RESULTS: Twenty-three out of 111 recruited patients were eligible for further analysis. Five hundred-sixty CT images were analyzed. Lung injury, composed by hypo- and non-inflated areas, was significantly more represented in subpleural than in core lung regions. A secondary, centripetal spread of lung injury was associated with exposure to mechanical ventilation (p < 0.04), longer spontaneous breathing (more than 14 days, p < 0.05) and non-protective tidal volume (p < 0.04). Positive fluid balance (p < 0.01), high plasma D-dimers (p < 0.01) and ferritin (p < 0.04) were associated with increased lung injury.
CONCLUSIONS: In a cohort of COVID-19 patients with severe respiratory failure, a predominant subpleural distribution of lung injury is observed. Prolonged spontaneous breathing and high tidal volumes, both causes of patient self-induced lung injury, are associated to an extensive involvement of more central regions. Positive fluid balance, inflammation and thrombosis are associated with lung injury. Trial registration Study registered a priori the 20th of March, 2020. Clinical Trials ID NCT04316884.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:25 |
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| Enthalten in: |
Critical care (London, England) - 25(2021), 1 vom: 04. Aug., Seite 276 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Pellegrini, Mariangela [VerfasserIn] |
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| Links: |
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| Themen: |
ARDS |
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| Anmerkungen: |
Date Completed 11.08.2021 Date Revised 11.08.2021 published: Electronic ClinicalTrials.gov: NCT04316884 Citation Status MEDLINE |
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| doi: |
10.1186/s13054-021-03685-4 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM328931861 |
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| 100 | 1 | |a Pellegrini, Mariangela |e verfasserin |4 aut | |
| 245 | 1 | 2 | |a A quantitative analysis of extension and distribution of lung injury in COVID-19 |b a prospective study based on chest computed tomography |
| 264 | 1 | |c 2021 | |
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| 500 | |a Date Completed 11.08.2021 | ||
| 500 | |a Date Revised 11.08.2021 | ||
| 500 | |a published: Electronic | ||
| 500 | |a ClinicalTrials.gov: NCT04316884 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021. The Author(s). | ||
| 520 | |a BACKGROUND: Typical features differentiate COVID-19-associated lung injury from acute respiratory distress syndrome. The clinical role of chest computed tomography (CT) in describing the progression of COVID-19-associated lung injury remains to be clarified. We investigated in COVID-19 patients the regional distribution of lung injury and the influence of clinical and laboratory features on its progression | ||
| 520 | |a METHODS: This was a prospective study. For each CT, twenty images, evenly spaced along the cranio-caudal axis, were selected. For regional analysis, each CT image was divided into three concentric subpleural regions of interest and four quadrants. Hyper-, normally, hypo- and non-inflated lung compartments were defined. Nonparametric tests were used for hypothesis testing (α = 0.05). Spearman correlation test was used to detect correlations between lung compartments and clinical features | ||
| 520 | |a RESULTS: Twenty-three out of 111 recruited patients were eligible for further analysis. Five hundred-sixty CT images were analyzed. Lung injury, composed by hypo- and non-inflated areas, was significantly more represented in subpleural than in core lung regions. A secondary, centripetal spread of lung injury was associated with exposure to mechanical ventilation (p < 0.04), longer spontaneous breathing (more than 14 days, p < 0.05) and non-protective tidal volume (p < 0.04). Positive fluid balance (p < 0.01), high plasma D-dimers (p < 0.01) and ferritin (p < 0.04) were associated with increased lung injury | ||
| 520 | |a CONCLUSIONS: In a cohort of COVID-19 patients with severe respiratory failure, a predominant subpleural distribution of lung injury is observed. Prolonged spontaneous breathing and high tidal volumes, both causes of patient self-induced lung injury, are associated to an extensive involvement of more central regions. Positive fluid balance, inflammation and thrombosis are associated with lung injury. Trial registration Study registered a priori the 20th of March, 2020. Clinical Trials ID NCT04316884 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Observational Study | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a ARDS | |
| 650 | 4 | |a Acute respiratory distress syndrome | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Computed tomography | |
| 650 | 4 | |a Mechanical ventilation | |
| 650 | 4 | |a SARS-CoV2 | |
| 700 | 1 | |a Larina, Aleksandra |e verfasserin |4 aut | |
| 700 | 1 | |a Mourtos, Evangelos |e verfasserin |4 aut | |
| 700 | 1 | |a Frithiof, Robert |e verfasserin |4 aut | |
| 700 | 1 | |a Lipcsey, Miklos |e verfasserin |4 aut | |
| 700 | 1 | |a Hultström, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Segelsjö, Monica |e verfasserin |4 aut | |
| 700 | 1 | |a Hansen, Tomas |e verfasserin |4 aut | |
| 700 | 1 | |a Perchiazzi, Gaetano |e verfasserin |4 aut | |
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