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Constructing custom-made radiotranscriptomic signatures of vascular inflammation from routine CT angiograms: a prospective outcomes validation study in COVID-19
- Source :
- The Lancet. Digital Health, 4, 10, pp. e705-e716, The Lancet. Digital Health, 4, e705-e716
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- Contains fulltext : 286832.pdf (Publisher’s version ) (Open Access) BACKGROUND: Direct evaluation of vascular inflammation in patients with COVID-19 would facilitate more efficient trials of new treatments and identify patients at risk of long-term complications who might respond to treatment. We aimed to develop a novel artificial intelligence (AI)-assisted image analysis platform that quantifies cytokine-driven vascular inflammation from routine CT angiograms, and sought to validate its prognostic value in COVID-19. METHODS: For this prospective outcomes validation study, we developed a radiotranscriptomic platform that uses RNA sequencing data from human internal mammary artery biopsies to develop novel radiomic signatures of vascular inflammation from CT angiography images. We then used this platform to train a radiotranscriptomic signature (C19-RS), derived from the perivascular space around the aorta and the internal mammary artery, to best describe cytokine-driven vascular inflammation. The prognostic value of C19-RS was validated externally in 435 patients (331 from study arm 3 and 104 from study arm 4) admitted to hospital with or without COVID-19, undergoing clinically indicated pulmonary CT angiography, in three UK National Health Service (NHS) trusts (Oxford, Leicester, and Bath). We evaluated the diagnostic and prognostic value of C19-RS for death in hospital due to COVID-19, did sensitivity analyses based on dexamethasone treatment, and investigated the correlation of C19-RS with systemic transcriptomic changes. FINDINGS: Patients with COVID-19 had higher C19-RS than those without (adjusted odds ratio [OR] 2·97 [95% CI 1·43-6·27], p=0·0038), and those infected with the B.1.1.7 (alpha) SARS-CoV-2 variant had higher C19-RS values than those infected with the wild-type SARS-CoV-2 variant (adjusted OR 1·89 [95% CI 1·17-3·20] per SD, p=0·012). C19-RS had prognostic value for in-hospital mortality in COVID-19 in two testing cohorts (high [≥6·99] vs low [
- Subjects :
- Inflammation
SARS-CoV-2
lnfectious Diseases and Global Health Radboud Institute for Molecular Life Sciences [Radboudumc 4]
Angiography
Medicine (miscellaneous)
COVID-19
Health Informatics
State Medicine
Health Information Management
Artificial Intelligence
Cytokines
Humans
Decision Sciences (miscellaneous)
Prospective Studies
Tomography, X-Ray Computed
Subjects
Details
- Language :
- English
- ISSN :
- 25897500
- Database :
- OpenAIRE
- Journal :
- The Lancet. Digital Health, 4, 10, pp. e705-e716, The Lancet. Digital Health, 4, e705-e716
- Accession number :
- edsair.doi.dedup.....667e9c3752db2a7c11d82a56de81ce50