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 patients
2023
Machine learning in precision diabetes care and cardiovascular risk prediction
Oikonomou E, Khera R. Machine learning in precision diabetes care and cardiovascular risk prediction. Cardiovascular Diabetology 2023, 22: 259. PMID: 37749579, PMCID: PMC10521578, DOI: 10.1186/s12933-023-01985-3.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsArtificial intelligence solutionsArtificial intelligence productsData-driven methodIntelligence solutionsArtificial intelligenceMachine learningPersonalized solutionsIntelligence productsBias mitigationMachineKey issuesPredictive modelSuch modelsSuccessful applicationRisk predictionParadigm shiftIntelligenceKey propertiesApplicationsLearningPersonalized careFrameworkSolutionCurrent regulatory frameworkHealthcareUse of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchMeSH KeywordsAdultCardiovascular DiseasesCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedObesityRisk FactorsConceptsHealth Information National Trends SurveyUS adultsExacerbate disparitiesWearable device usersCardiovascular diseaseCardiovascular healthPopulation-based cross-sectional studySelf-reported cardiovascular diseaseCardiovascular disease risk factorsNational Trends SurveyOverall US adult populationCardiovascular risk factor profileSelf-reported accessAssociated with lower useUse of wearable devicesImprove cardiovascular healthLower household incomeLower educational attainmentUS adult populationRisk factor profileNationally representative sampleCross-sectional studyProportion of adultsTrends SurveyWearable device data
2022
Phenomapping-Derived Tool to Individualize the Effect of Canagliflozin on Cardiovascular Risk in Type 2 Diabetes.
Oikonomou EK, Suchard MA, McGuire DK, Khera R. Phenomapping-Derived Tool to Individualize the Effect of Canagliflozin on Cardiovascular Risk in Type 2 Diabetes. Diabetes Care 2022, 45: 965-974. PMID: 35120199, PMCID: PMC9016734, DOI: 10.2337/dc21-1765.Peer-Reviewed Original ResearchConceptsCanagliflozin Cardiovascular Assessment StudyMajor adverse cardiovascular eventsType 2 diabetesHazard ratioSodium-glucose cotransporter 2 inhibitorsCardiovascular disease benefitAdverse cardiovascular eventsCotransporter 2 inhibitorsEffects of canagliflozinCanagliflozin dosesCanagliflozin's effectsCardiovascular eventsCardiovascular riskPatients 5Cardioprotective effectsSGLT2 inhibitorsDisease benefitBaseline variablesOriginal trialCanagliflozinType 2DiabetesPatientsRisk estimatesEffect estimates
2021
Biomarkers of Vascular Inflammation for Cardiovascular Risk Prognostication A Meta-Analysis
Antonopoulos A, Angelopoulos A, Papanikolaou P, Simantiris S, Oikonomou E, Vamvakaris K, Koumpoura A, Farmaki M, Trivella M, Vlachopoulos C, Tsioufis K, Antoniades C, Tousoulis D. Biomarkers of Vascular Inflammation for Cardiovascular Risk Prognostication A Meta-Analysis. JACC Cardiovascular Imaging 2021, 15: 460-471. PMID: 34801448, DOI: 10.1016/j.jcmg.2021.09.014.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseVascular inflammationInflammatory biomarkersRisk stratificationPrognostic valueClinical risk factorsNet clinical benefitValue of biomarkersUse of biomarkersMeasurement of biomarkersMeta-regression analysisLack of reportingCardiovascular eventsCohort studyStable patientsEvent incidenceRisk prognosticationClinical benefitHeart diseaseRisk factorsRisk discriminationClinical practiceInflammationSuch biomarkersMeta-Analysis
2019
Cardiac Computed Tomography
Oikonomou EK, West HW, Antoniades C. Cardiac Computed Tomography. Arteriosclerosis Thrombosis And Vascular Biology 2019, 39: 2207-2219. PMID: 31510795, DOI: 10.1161/atvbaha.119.312899.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsCardiac computed tomographyComputed tomographyCoronary atherosclerosisCoronary plaque burdenAcute coronary syndromeCoronary artery diseaseFirst-line diagnostic testUnstable coronary plaquesMorphological plaque featuresCoronary syndromeInflammatory burdenArterial inflammationArtery diseaseCoronary lesionsPlaque burdenPlaque featuresPrognostic implicationsCoronary plaquesPerivascular fatHemodynamic significanceVulnerable plaquesDiagnostic testsMajor causeTomographyCurrent roleDevelopment 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 validationCohortThe Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis
Papanastasiou CA, Kokkinidis DG, Kampaktsis PN, Bikakis I, Cunha DK, Oikonomou EK, Greenwood JP, Garcia MJ, Karamitsos TD. The Prognostic Role of Late Gadolinium Enhancement in Aortic Stenosis A Systematic Review and Meta-Analysis. JACC Cardiovascular Imaging 2019, 13: 385-392. PMID: 31326491, DOI: 10.1016/j.jcmg.2019.03.029.Peer-Reviewed Original ResearchConceptsLate gadolinium enhancementAortic stenosisCardiac magnetic resonanceCause mortalityGadolinium enhancementLGE-CMRSystematic reviewA Systematic ReviewStrongest univariate predictorsRandom-effects modelBaseline characteristicsHazard ratioPrognostic roleRisk stratificationAdverse outcomesPrognostic valueUnivariate predictorsPooled analysisMyocardial fibrosisInclusion criteriaCardiac diseaseRegional fibrosisPatientsElectronic databasesMeta-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 StatementsMeSH KeywordsAdipose TissueAtherosclerosisBlood VesselsCoronary Artery DiseaseEnergy MetabolismHumansRisk FactorsConceptsCardiometabolic 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 opportunitiesDevelopment and Validation of a Clinical Score for Cardiovascular Risk Stratification of Long‐Term Childhood Cancer Survivors
Oikonomou EK, Athanasopoulou SG, Kampaktsis PN, Kokkinidis DG, Papanastasiou CA, Feher A, Steingart RM, Oeffinger KC, Gupta D. Development and Validation of a Clinical Score for Cardiovascular Risk Stratification of Long‐Term Childhood Cancer Survivors. The Oncologist 2018, 23: 965-973. PMID: 29593100, PMCID: PMC6156177, DOI: 10.1634/theoncologist.2017-0502.Peer-Reviewed Original ResearchMeSH KeywordsAdultCancer SurvivorsCardiovascular DiseasesFemaleHumansMaleNeoplasmsRisk FactorsYoung AdultConceptsLong-term childhood cancer survivorsChildhood cancer survivorsCardiovascular risk stratificationCardiovascular mortalityCancer survivorsRisk scoreCardiovascular riskRisk stratificationRisk of CVMTreatment-related adverse eventsAdverse cardiovascular eventsRisk stratification toolSimple risk scoreCongestive heart failureCumulative incidence rateEnd Results ProgramMedian time periodPopulation-based studyHistory of lymphomaHigh-risk groupLow-risk groupSimple clinical toolHistory of radiationNon-white raceHealth care providersThe predictive value of baseline pulmonary hypertension in early and long term cardiac and all-cause mortality after transcatheter aortic valve implantation for patients with severe aortic valve stenosis: A systematic review and meta-analysis
Kokkinidis DG, Papanastasiou CA, Jonnalagadda AK, Oikonomou EK, Theochari CA, Palaiodimos L, Karvounis HI, Armstrong EJ, Faillace RT, Giannakoulas G. The predictive value of baseline pulmonary hypertension in early and long term cardiac and all-cause mortality after transcatheter aortic valve implantation for patients with severe aortic valve stenosis: A systematic review and meta-analysis. Cardiovascular Revascularization Medicine 2018, 19: 859-867. PMID: 29724516, DOI: 10.1016/j.carrev.2018.03.015.Peer-Reviewed Original ResearchConceptsTranscatheter aortic valve implantationElevated pulmonary artery pressurePulmonary artery pressureAortic valve stenosisSevere aortic valve stenosisSurgical aortic valve replacementBaseline pulmonary hypertensionPulmonary hypertensionAortic valve implantationArtery pressureCause mortalityHazard ratioSystematic reviewValve implantationValve stenosisRelative riskAssociation of PHBaseline pulmonary artery pressurePulmonary artery systolic pressureChronic obstructive pulmonary diseaseAortic valve replacementLate cardiac mortalityObstructive pulmonary diseaseRandom-effects modelMeta-regression analysis
2017
Clinical and translational science in cardiovascular research: highlights from the American Heart Association Scientific Sessions 2017
Oikonomou EK. Clinical and translational science in cardiovascular research: highlights from the American Heart Association Scientific Sessions 2017. Cardiovascular Research 2017, 114: e6-e8. PMID: 29202178, DOI: 10.1093/cvr/cvx233.Commentaries, Editorials and LettersPregnancy associated plasma protein-A as a prognostic biomarker of all-cause mortality and cardiovascular events in patients presenting with chest pain: a systematic review
Papanastasiou CA, Kokkinidis DG, Oikonomou EK, Mantziaris VG, Foley TR, Karamitsos TD, Waldo SW, Armstrong EJ. Pregnancy associated plasma protein-A as a prognostic biomarker of all-cause mortality and cardiovascular events in patients presenting with chest pain: a systematic review. Biomarkers 2017, 23: 1-9. PMID: 29144175, DOI: 10.1080/1354750x.2017.1397194.Peer-Reviewed Original ResearchConceptsIschemic chest painChest painCardiovascular eventsAdverse eventsShort-term adverse eventsShort-term risk stratificationAdverse cardiovascular eventsAcute coronary syndromeGroup of patientsIdentification of patientsStandardized clinical studiesElectronic databases MEDLINEFuture adverse eventsPlasma proteinsCause mortalityCoronary syndromeIschemic originRisk stratificationPrognostic valueCochrane LibraryPatient populationClinical studiesInclusion criteriaPrognostic biomarkerPain