2024
Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study
Oikonomou E, Aminorroaya A, Dhingra L, Partridge C, Velazquez E, Desai N, Krumholz H, Miller E, Khera R. Real-world evaluation of an algorithmic machine-learning-guided testing approach in stable chest pain: a multinational, multicohort study. European Heart Journal - Digital Health 2024, 5: 303-313. PMID: 38774380, PMCID: PMC11104476, DOI: 10.1093/ehjdh/ztae023.Peer-Reviewed Original ResearchRisk of acute myocardial infarctionAssociated with lower oddsHospital health systemCoronary artery diseaseCardiac testingRisk of adverse outcomesUK BiobankHealth systemProvider-drivenLower oddsAssociated with better outcomesAcute myocardial infarctionBlack raceStable chest painFemale sexReal world evaluationDiabetes historyMulticohort studyFunction testsSuspected coronary artery diseaseYounger ageRisk profileAdverse outcomesMultinational cohortPost hoc analysis
2018
Perivascular adipose tissue and coronary atherosclerosis
Mancio J, Oikonomou EK, Antoniades C. Perivascular adipose tissue and coronary atherosclerosis. Heart 2018, 104: 1654. PMID: 29853488, DOI: 10.1136/heartjnl-2017-312324.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCardiometabolic risk profilePerivascular ATPerivascular adipose tissueAdipose tissueCardiovascular diseaseVascular wallEpicardial adipose tissueClose anatomical proximityAnti-atherogenic rolePotential therapeutic targetNovel clinical diagnostic toolsPromising new modalityCoronary inflammationCoronary atherosclerosisInflammatory statusNon-invasive imagingCardiovascular healthBody of evidenceAnatomical proximityCurrent evidenceTherapeutic targetAdjacent vasculatureClinical diagnostic toolRisk profileTherapeutic opportunities