| Title: | Abdominal imaging associates body composition with COVID-19 severity |
| Journal: | PLOS ONE |
| Published: | 13 Apr 2023 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/37053189/ |
| DOI: | https://doi.org/10.1371/journal.pone.0283506 |
| URL: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0283506&type=printable |
| Citations: | 1 (1 in last 2 years) as of 8 Aug 2024 |
Publication 7873
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Abstract
The main drivers of COVID-19 disease severity and the impact of COVID-19 on long-term health after recovery are yet to be fully understood. Medical imaging studies investigating COVID-19 to date have mostly been limited to small datasets and post-hoc analyses of severe cases. The UK Biobank recruited recovered SARS-CoV-2 positive individuals (n = 967) and matched controls (n = 913) who were extensively imaged prior to the pandemic and underwent follow-up scanning. In this study, we investigated longitudinal changes in body composition, as well as the associations of pre-pandemic image-derived phenotypes with COVID-19 severity. Our longitudinal analysis, in a population of mostly mild cases, associated a decrease in lung volume with SARS-CoV-2 positivity. We also observed that increased visceral adipose tissue and liver fat, and reduced muscle volume, prior to COVID-19, were associated with COVID-19 disease severity. Finally, we trained a machine classifier with demographic, anthropometric and imaging traits, and showed that visceral fat, liver fat and muscle volume have prognostic value for COVID-19 disease severity beyond the standard demographic and anthropometric measurements. This combination of image-derived phenotypes from abdominal MRI scans and ensemble learning to predict risk may have future clinical utility in identifying populations at-risk for a severe COVID-19 outcome.8 Authors
- Nicolas Basty
- Elena P. Sorokin
- Marjola Thanaj
- Ramprakash Srinivasan
- Brandon Whitcher
- Jimmy D. Bell
- Madeleine Cule
- E. Louise Thomas
1 Application
| Application ID | Title |
|---|---|
| 44584 | Enriched Image Based Phenotypes for Health Exploration and Discovery |
Enabling scientific discoveries that improve human health