aceUse of an AI metabolomics score to predict cardiovascular risk among patients with Psoriasis in the MGB and UK Biobanks
Background: Systemic inflammation in psoriasis accelerates atherosclerosis and confers excess cardiovascular risk that is not fully captured by traditional clinical predictors. Metabolomic profiling may identify disease-specific metabolic signatures associated with cardiovascular events and enhance risk prediction beyond conventional factors. Objectives: To determine whether plasma metabolomic profiling improves cardiovascular risk prediction in patients with psoriasis and to develop and externally validate an a…
A machine-learning score built from 168 blood metabolites separated psoriasis patients by risk of myocardial infarction or stroke, which may support more targeted cardiovascular prevention.
Evidence
- Peer-reviewedAmerican Journal of Preventive Cardiology2026-06-06
How should this claim be treated?
Truvace Impact Record TRV-2026-2036, v1: “Use of an AI metabolomics score to predict cardiovascular risk among patients with Psoriasis in the MGB and UK Biobanks.” Truvace, 2026-10-20. /record/TRV-2026-2036 (accessed at citation time). sha256 b60e842d7944a5dc…
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