Abstract
Introduction: Evidence suggests that vascular inflammation and thrombosis may be important drivers of poor clinical outcomes in patients with COVID-19. We hypothesised that a significant decrease in the percentage of blood volume in vessels with a cross-sectional area between 1.25 and 5 mm 2 relative to the total pulmonary blood volume (BV5%) on chest computed tomography (CT) in COVID-19 patients is predictive of adverse clinical outcomes.
Methods: We performed a retrospective analysis of chest CT scans from 10 hospitals across two US states in 313 COVID-19-positive and 195 COVID-19-negative patients seeking acute medical care.
Results: BV5% was predictive of outcomes in COVID-19 patients in a multivariate model, with a BV5% threshold below 25% associated with OR 5.58 for mortality, OR 3.20 for intubation and OR 2.54 for the composite of mortality or intubation. A model using age and BV5% had an area under the receiver operating characteristic curve of 0.85 to predict the composite of mortality or intubation in COVID-19 patients. BV5% was not predictive of clinical outcomes in patients without COVID-19.
Conclusions: The data suggest BV5% as a novel biomarker for predicting adverse outcomes in patients with COVID-19 seeking acute medical care.
【초록키워드】 Biomarker, Mortality, thrombosis, hospital, intubation, outcome, clinical outcomes, adverse outcomes, Clinical outcome, adverse outcome, Computed tomography, Chest computed tomography, Patient, Retrospective analysis, Medical care, age, threshold, characteristic, Care, predict, COVID-19 patients, Blood, chest CT scan, Composite, COVID-19 patient, Predictive, receiver operating characteristic, an area, blood volume, Volume, multivariate model, Chest CT scans, vessels, significant decrease, receiver, vascular inflammation, vessel, cross-sectional area, performed, driver, hypothesised, patients with COVID-19, patients without COVID-19, seeking, 【제목키워드】 Biomarker, outcome, COVID-19 disease, distribution, Blood, Volume, Altered,