Featured Publications
Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data
Oikonomou EK, Marwan M, Desai MY, Mancio J, Alashi A, Centeno E, Thomas S, Herdman L, Kotanidis CP, Thomas KE, Griffin BP, Flamm SD, Antonopoulos AS, Shirodaria C, Sabharwal N, Deanfield J, Neubauer S, Hopewell JC, Channon KM, Achenbach S, Antoniades C. Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk (the CRISP CT study): a post-hoc analysis of prospective outcome data. The Lancet 2018, 392: 929-939. PMID: 30170852, PMCID: PMC6137540, DOI: 10.1016/s0140-6736(18)31114-0.Peer-Reviewed Original ResearchMeSH KeywordsAdipocytesAdipose TissueAdolescentAdultAgedAged, 80 and overComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsFemaleFollow-Up StudiesHumansImaging, Three-DimensionalMaleMiddle AgedPlaque, AtheroscleroticPredictive Value of TestsProportional Hazards ModelsProspective StudiesRisk AssessmentSurvival AnalysisYoung AdultConceptsRight coronary arteryProximal right coronary arteryCardiac mortalityCoronary inflammationCoronary CTACoronary arteryDerivation cohortValidation cohortOutcome dataHealth Research Oxford Biomedical Research CentreCoronary artery disease indexHigh-risk plaque featuresPerivascular fat attenuation indexCoronary artery inflammationFat attenuation indexIntensive secondary preventionCardiovascular risk factorsResidual cardiovascular riskProspective outcome dataMajor coronary arteriesHounsfield unitsLeft circumflex arteryCox regression modelRisk predictionCardiac risk prediction
2024
Development and multinational validation of an algorithmic strategy for high Lp(a) screening
Aminorroaya A, Dhingra L, Oikonomou E, Saadatagah S, Thangaraj P, Vasisht Shankar S, Spatz E, Khera R. Development and multinational validation of an algorithmic strategy for high Lp(a) screening. Nature Cardiovascular Research 2024, 3: 558-566. PMID: 39195936, DOI: 10.1038/s44161-024-00469-1.Peer-Reviewed Original ResearchElectronic health recordsAssociated with premature atherosclerotic cardiovascular diseaseElevated Lp(aHealth recordsUK BiobankPremature atherosclerotic cardiovascular diseaseMachine learning modelsAtherosclerotic cardiovascular diseaseCohort studyReal-world settingsTargeted screeningCardiovascular diseaseLearning modelsNovel targeted therapeuticsAlgorithmic strategiesCohortProbability thresholdScreeningClinical featuresValidation cohortElevated lipoproteinRisk inspectionARICLp(a
2019
Development of a risk score for early saphenous vein graft failure: An individual patient data meta-analysis
Antonopoulos AS, Odutayo A, Oikonomou EK, Trivella M, Petrou M, Collins GS, Antoniades C, group S, Akoumianakis I, Channon K, Herdman L, Margaritis M, Neubauer S, Thomas S, Fremes S, Karkhanis R, Rade J, Fukui T, Nishida H, Takanashi S, Hwang H, Kim K, Mannacio L, Mannacio V, Nakano J, Perrault L, Kardos A, Okabayashi H, Tousoulis D, Kelion A, Sabharwal N, Krasopoulos G, Sayeed R, Taggart D. Development of a risk score for early saphenous vein graft failure: An individual patient data meta-analysis. Journal Of Thoracic And Cardiovascular Surgery 2019, 160: 116-127.e4. PMID: 31606176, PMCID: PMC7322547, DOI: 10.1016/j.jtcvs.2019.07.086.Peer-Reviewed Original ResearchConceptsEarly SVG occlusionIndividual patient dataSVG occlusionRisk scoreValidation cohortEarly saphenous vein graft failureEarly saphenous vein graft occlusionSaphenous vein graft failureSaphenous vein graft occlusionAggressive treatment strategiesPatient dataVein graft occlusionNovel risk scoreVein graft failureRisk score systemGraft failureGraft occlusionOperative characteristicsTreatment strategiesIndividualized riskOperative factorsScore systemOcclusionExternal validationCohort
2017
Detecting human coronary inflammation by imaging perivascular fat
Antonopoulos AS, Sanna F, Sabharwal N, Thomas S, Oikonomou EK, Herdman L, Margaritis M, Shirodaria C, Kampoli AM, Akoumianakis I, Petrou M, Sayeed R, Krasopoulos G, Psarros C, Ciccone P, Brophy CM, Digby J, Kelion A, Uberoi R, Anthony S, Alexopoulos N, Tousoulis D, Achenbach S, Neubauer S, Channon KM, Antoniades C. Detecting human coronary inflammation by imaging perivascular fat. Science Translational Medicine 2017, 9 PMID: 28701474, DOI: 10.1126/scitranslmed.aal2658.Peer-Reviewed Original ResearchConceptsPerivascular adipose tissueFat attenuation indexVascular inflammationSubclinical coronary artery diseaseHuman adipose tissue explantsHuman vesselsLipid accumulationHuman coronary vasculatureAcute coronary syndromeCoronary artery diseaseVulnerable atherosclerotic plaquesIntracellular lipid accumulationHuman coronary arteriesAdipocyte lipid contentAdipose tissue explantsPositron emission tomographyCT scan informationCoronary inflammationCoronary syndromeArtery diseaseCardiac surgeryValidation cohortCoronary arteryMultiple disease statesTissue inflammation