Featured Publications
Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials
Oikonomou EK, Spatz ES, Suchard MA, Khera R. Individualising intensive systolic blood pressure reduction in hypertension using computational trial phenomaps and machine learning: a post-hoc analysis of randomised clinical trials. The Lancet Digital Health 2022, 4: e796-e805. PMID: 36307193, PMCID: PMC9768739, DOI: 10.1016/s2589-7500(22)00170-4.Peer-Reviewed Original ResearchConceptsSystolic blood pressure controlBlood pressure controlIntensive systolic blood pressure controlType 2 diabetesPressure controlCardiovascular benefitsClinical trialsMajor adverse cardiovascular eventsFirst major adverse cardiovascular eventLarge randomised clinical trialsACCORD-BP trialAdverse cardiovascular eventsRandomised clinical trialsSystolic blood pressureCox regression analysisTreatment effectsHazard ratio estimatesACCORD-BPBP trialCardiovascular eventsBlood pressurePrimary outcomeStandard treatmentBaseline variablesIndex patientsPerivascular Fat Attenuation Index Stratifies Cardiac Risk Associated With High-Risk Plaques in the CRISP-CT Study
Oikonomou EK, Desai MY, Marwan M, Kotanidis CP, Antonopoulos AS, Schottlander D, Channon KM, Neubauer S, Achenbach S, Antoniades C. Perivascular Fat Attenuation Index Stratifies Cardiac Risk Associated With High-Risk Plaques in the CRISP-CT Study. Journal Of The American College Of Cardiology 2020, 76: 755-757. PMID: 32762910, DOI: 10.1016/j.jacc.2020.05.078.Peer-Reviewed Original ResearchA novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography
Oikonomou EK, Williams MC, Kotanidis CP, Desai MY, Marwan M, Antonopoulos AS, Thomas KE, Thomas S, Akoumianakis I, Fan LM, Kesavan S, Herdman L, Alashi A, Centeno EH, Lyasheva M, Griffin BP, Flamm SD, Shirodaria C, Sabharwal N, Kelion A, Dweck MR, Van Beek EJR, Deanfield J, Hopewell JC, Neubauer S, Channon KM, Achenbach S, Newby DE, Antoniades C. A novel machine learning-derived radiotranscriptomic signature of perivascular fat improves cardiac risk prediction using coronary CT angiography. European Heart Journal 2019, 40: 3529-3543. PMID: 31504423, PMCID: PMC6855141, DOI: 10.1093/eurheartj/ehz592.Peer-Reviewed Original ResearchConceptsPerivascular adipose tissueFat attenuation indexCoronary CT angiographyCardiac risk predictionCoronary perivascular adipose tissueMajor adverse cardiac eventsCT angiographyRisk predictionHigh-risk plaque featuresPerivascular fat attenuation indexRadiomic featuresAdverse cardiac eventsConsecutive eligible participantsSCOT-HEART trialTraditional risk stratificationCoronary artery diseaseCoronary calcium scoreStandard coronary CT angiographyAcute myocardial infarctionCoronary inflammationCardiac eventsArtery diseaseCalcium scoreCardiac surgeryMACE predictionNon-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
2021
Standardized measurement of coronary inflammation using cardiovascular computed tomography: integration in clinical care as a prognostic medical device
Oikonomou EK, Antonopoulos AS, Schottlander D, Marwan M, Mathers C, Tomlins P, Siddique M, Klüner LV, Shirodaria C, Mavrogiannis MC, Thomas S, Fava A, Deanfield J, Channon KM, Neubauer S, Desai MY, Achenbach S, Antoniades C. Standardized measurement of coronary inflammation using cardiovascular computed tomography: integration in clinical care as a prognostic medical device. Cardiovascular Research 2021, 117: 2677-2690. PMID: 34450625, DOI: 10.1093/cvr/cvab286.Peer-Reviewed Original ResearchMeSH KeywordsAdipose TissueAdiposityAdolescentAdultAgedAged, 80 and overAlgorithmsCloud ComputingComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary VesselsDecision Support TechniquesEnglandFemaleGermanyHeart Disease Risk FactorsHumansInflammationMaleMiddle AgedNomogramsOhioPredictive Value of TestsPrognosisRisk AssessmentTime FactorsYoung AdultConceptsFat attenuation indexPerivascular fat attenuation indexRisk factor-based modelCoronary artery inflammationClinical risk factorsFatal cardiac eventsCoronary artery diseaseCoronary inflammationRisk factorsFAI scorePlaque metricsCardiac eventsArtery inflammationAbsolute riskCoronary arteryClinical careNon-invasive detectionTraditional cardiovascular risk factorsPatient's absolute riskCardiovascular risk factorsFat compositionNet clinical benefitCardiovascular risk predictionDecision curve analysisFirst-line modality
2017
Predictive value of telomere length on outcome following acute myocardial infarction: evidence for contrasting effects of vascular vs. blood oxidative stress
Margaritis M, Sanna F, Lazaros G, Akoumianakis I, Patel S, Antonopoulos AS, Duke C, Herdman L, Psarros C, Oikonomou EK, Shirodaria C, Petrou M, Sayeed R, Krasopoulos G, Lee R, Tousoulis D, Channon KM, Antoniades C. Predictive value of telomere length on outcome following acute myocardial infarction: evidence for contrasting effects of vascular vs. blood oxidative stress. European Heart Journal 2017, 38: 3094-3104. PMID: 28444175, PMCID: PMC5837455, DOI: 10.1093/eurheartj/ehx177.Peer-Reviewed Original ResearchConceptsPeripheral blood mononuclear cellsAcute myocardial infarctionVascular smooth muscle cellsVascular oxidative stressSaphenous veinMyocardial infarctionOxidative stressPredictive valueRecent acute myocardial infarctionCoronary artery bypassBlood mononuclear cellsClinical predictive valueBlood oxidative stressSmooth muscle cellsFunctional genetic polymorphismsEffects of vascularTissue-specific biomarkersArtery bypassProspective cohortConsecutive patientsClinical outcomesVascular factorsPost-AMIMononuclear cellsArtery segments