» Articles » PMID: 33632795

Altered Pulmonary Blood Volume Distribution As a Biomarker for Predicting Outcomes in COVID-19 Disease

Overview
Journal Eur Respir J
Specialty Pulmonary Medicine
Date 2021 Feb 26
PMID 33632795
Citations 23
Authors
Affiliations
Soon will be listed here.
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 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.

Citing Articles

U-Net-based computed tomography quantification of viral pneumonia can predict fibrotic interstitial lung abnormalities at 3-month follow-up.

Ying Z, Zhu Z, Hu G, Pan Z, Tan W, Han W Front Med (Lausanne). 2024; 11:1435337.

PMID: 39403283 PMC: 11471527. DOI: 10.3389/fmed.2024.1435337.


Oscillometry Longitudinal Data on COVID-19 Acute Respiratory Syndrome Treated with Non-Invasive Respiratory Support.

Torregiani C, Baratella E, Segalotti A, Ruaro B, Salton F, Confalonieri P J Clin Med. 2024; 13(7).

PMID: 38610633 PMC: 11012861. DOI: 10.3390/jcm13071868.


Sialylated Glycan Bindings from SARS-CoV-2 Spike Protein to Blood and Endothelial Cells Govern the Severe Morbidities of COVID-19.

Scheim D, Vottero P, Santin A, Hirsh A Int J Mol Sci. 2023; 24(23).

PMID: 38069362 PMC: 10871123. DOI: 10.3390/ijms242317039.


Quantitative Analysis for Lung Disease on Thin-Section CT.

Iwasawa T, Matsushita S, Hirayama M, Baba T, Ogura T Diagnostics (Basel). 2023; 13(18).

PMID: 37761355 PMC: 10528918. DOI: 10.3390/diagnostics13182988.


Unraveling pathophysiologic mechanisms contributing to symptoms in patients with post-acute sequelae of COVID-19 (PASC): A retrospective study.

Dierckx W, De Backer W, Ides K, De Meyer Y, Lauwers E, Franck E Physiol Rep. 2023; 11(12):e15754.

PMID: 37344757 PMC: 10284821. DOI: 10.14814/phy2.15754.


References
1.
Wiersinga W, Rhodes A, Cheng A, Peacock S, Prescott H . Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA. 2020; 324(8):782-793. DOI: 10.1001/jama.2020.12839. View

2.
Vahidy F, Drews A, Masud F, Schwartz R, Askary B, Boom M . Characteristics and Outcomes of COVID-19 Patients During Initial Peak and Resurgence in the Houston Metropolitan Area. JAMA. 2020; 324(10):998-1000. PMC: 7426882. DOI: 10.1001/jama.2020.15301. View

3.
Synn A, Li W, San Jose Estepar R, Washko G, OConnor G, Tsao C . Pulmonary Vascular Pruning on Computed Tomography and Risk of Death in the Framingham Heart Study. Am J Respir Crit Care Med. 2020; 203(2):251-254. PMC: 7874407. DOI: 10.1164/rccm.202005-1671LE. View

4.
Lang M, Som A, Carey D, Reid N, Mendoza D, Flores E . Pulmonary Vascular Manifestations of COVID-19 Pneumonia. Radiol Cardiothorac Imaging. 2021; 2(3):e200277. PMC: 7307217. DOI: 10.1148/ryct.2020200277. View

5.
Francone M, Iafrate F, Masci G, Coco S, Cilia F, Manganaro L . Chest CT score in COVID-19 patients: correlation with disease severity and short-term prognosis. Eur Radiol. 2020; 30(12):6808-6817. PMC: 7334627. DOI: 10.1007/s00330-020-07033-y. View