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A quantitative analysis of extension and distribution of lung injury in COVID-19: a prospective study based on chest computed tomography.
Pellegrini, Mariangela; Larina, Aleksandra; Mourtos, Evangelos; Frithiof, Robert; Lipcsey, Miklos; Hultström, Michael; Segelsjö, Monica; Hansen, Tomas; Perchiazzi, Gaetano.
  • Pellegrini M; Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.
  • Larina A; Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
  • Mourtos E; Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.
  • Frithiof R; Radiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
  • Lipcsey M; Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.
  • Hultström M; Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.
  • Segelsjö M; Hedenstierna Laboratory, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
  • Hansen T; Anesthesiology and Intensive Care, Department of Surgical Sciences, Uppsala University, Akademiska sjukhuset, Uppsala, Sweden.
  • Perchiazzi G; Integrative Physiology, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden.
Crit Care ; 25(1): 276, 2021 08 04.
Article in English | MEDLINE | ID: covidwho-1854841
ABSTRACT

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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Lung Injury / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Crit Care Year: 2021 Document Type: Article Affiliation country: S13054-021-03685-4

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Lung Injury / COVID-19 Type of study: Cohort study / Diagnostic study / Observational study / Prognostic study / Randomized controlled trials Topics: Long Covid Limits: Aged / Female / Humans / Male / Middle aged Country/Region as subject: Europa Language: English Journal: Crit Care Year: 2021 Document Type: Article Affiliation country: S13054-021-03685-4