Observational studyCritical care (London, England)2021
A quantitative analysis of extension and distribution of lung injury in COVID-19: a prospective study based on chest computed tomography.
Observational study in Critical care (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04316884 (Uppsala Intensive Care Study of Mechanisms for Organ Dysfunction in Covid-19), which is not on this map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Uppsala Intensive Care Study of Mechanisms for Organ Dysfunction in Covid-19
Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- Characterizing heterogeneity and subphenotyping acute respiratory distress syndrome with computed tomography.Intensive care medicine experimental · 2026Review
- Phenotyping COVID-19 respiratory failure in spontaneously breathing patients with AI on lung CT-scan.Critical care (London, England) · 2024Observational
- Automatically transferring supervised targets method for segmenting lung lesion regions with CT imaging.BMC bioinformatics · 2023Article
- Differences in clinical characteristics and quantitative lung CT features between vaccinated and not vaccinated hospitalized COVID-19 patients in Italy.Annals of intensive care · 2023Article
- In Vivo Visualization and Quantification of Neutrophil Elastase in Lungs of COVID-19 Patients: A First-in-Humans PET Study withJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2023Article
- Chest dual-energy CT to assess the effects of steroids on lung function in severe COVID-19 patients.Critical care (London, England) · 2022Observational
- COVID-19 Acute Respiratory Distress Syndrome: One Pathogen, Multiple Phenotypes.Critical care clinics · 2022Review
- Lung aeration, ventilation, and perfusion imaging.Current opinion in critical care · 2022Review
- Mechanistic Insights Into the Immune Pathophysiology of COVID-19; An In-Depth Review.Frontiers in immunology · 2022Review
- Biological effects of COVID-19 on lung cancer: Can we drive our decisions.Frontiers in oncology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTypical 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.
methodsThis 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.
resultsTwenty-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.
conclusionsIn 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.