Acute disease severity is associated with increased pulmonary perfusion transit times at follow-up in male patients hospitalised with COVID-19.

Motivation: Perfusion disturbances can be observed up to a year after acute COVID-19 infection. Goal(s): Evaluate the relationship between pulmonary perfusion and sex, age and disease severity in patients hospitalised due to COVID-19. Approach: 198 patients hospitalised due to COVID-19 were recruited from 13 centres as part of the C-MORE study. 3T dynamic contrast enhanced lung perfusion imaging was acquired at follow-up. Results: Men previously hospitalised with severe COVID-19 showed increased pulmonary mean transit time (MTT) and more heterogenous pulmonary MTT at follow up compared to men with less severe disease. Disease severity was not associated with increased MTT at follow up in women. Impact: Dynamic contrast enhanced lung perfusion imaging can identify prolonged pulmonary transit times in patients hospitalised due to COVID-19 and demonstrates that at patient follow-up pulmonary perfusion depends on patient sex, age and, in male patients, acute disease severity.

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Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2912
Primary Topic
COVID-19 Clinical Research Studies
Type
article
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article

Acute disease severity is associated with increased pulmonary perfusion transit times at follow-up in male patients hospitalised with COVID-19.

Jim M. Wild, Martin Brook, Betty Raman, Christopher Edward Brightling et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
COVID-19 Clinical Research Studies
article

Acute disease severity is associated with increased pulmonary perfusion transit times at follow-up in male patients hospitalised with COVID-19.

Jim M. Wild, Martin Brook, Betty Raman, Christopher Edward Brightling, Louise V. Wain, Rachael A Evans, Laura Saunders, Stefan Neubauer, Paul Hughes, David Capener, C-MORE PHOSP-COVID Collaborative Group, Angus Thompson
article en

Abstract

Motivation: Perfusion disturbances can be observed up to a year after acute COVID-19 infection. Goal(s): Evaluate the relationship between pulmonary perfusion and sex, age and disease severity in patients hospitalised due to COVID-19. Approach: 198 patients hospitalised due to COVID-19 were recruited from 13 centres as part of the C-MORE study. 3T dynamic contrast enhanced lung perfusion imaging was acquired at follow-up. Results: Men previously hospitalised with severe COVID-19 showed increased pulmonary mean transit time (MTT) and more heterogenous pulmonary MTT at follow up compared to men with less severe disease. Disease severity was not associated with increased MTT at follow up in women. Impact: Dynamic contrast enhanced lung perfusion imaging can identify prolonged pulmonary transit times in patients hospitalised due to COVID-19 and demonstrates that at patient follow-up pulmonary perfusion depends on patient sex, age and, in male patients, acute disease severity.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
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Openalex Percentile: Top 73%
COVID-19 Clinical Research Studies
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Acute disease severity is associated with increased pulmonary perfusion transit times at follow-up in male patients hospitalised with COVID-19. — Jim M. Wild, Martin Brook, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS