Featured Publications
A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression
Oikonomou E, Holste G, Yuan N, Coppi A, McNamara R, Haynes N, Vora A, Velazquez E, Li F, Menon V, Kapadia S, Gill T, Nadkarni G, Krumholz H, Wang Z, Ouyang D, Khera R. A Multimodal Video-Based AI Biomarker for Aortic Stenosis Development and Progression. JAMA Cardiology 2024, 9: 534-544. PMID: 38581644, PMCID: PMC10999005, DOI: 10.1001/jamacardio.2024.0595.Peer-Reviewed Original ResearchCardiac magnetic resonanceAortic valve replacementCardiac magnetic resonance imagingAV VmaxSevere ASAortic stenosisCohort studyPeak aortic valve velocityCohort study of patientsAortic valve velocityCohort of patientsTraditional cardiovascular risk factorsAssociated with faster progressionStudy of patientsCedars-Sinai Medical CenterAssociated with AS developmentCardiovascular risk factorsCardiovascular imaging modalitiesIndependent of ageModerate ASEjection fractionEchocardiographic studiesValve replacementRisk stratificationCardiac structure
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
2023
Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography
Oikonomou E, Holste G, Mcnamara R, Velazquez E, Nadkarni G, Ouyang D, Krumholz H, Wang Z, Khera R. Predicting aortic stenosis progression using a video-based deep learning model of aortic stenosis built for single-view two-dimensional echocardiography. European Heart Journal 2023, 44: ehad655.040. DOI: 10.1093/eurheartj/ehad655.040.Peer-Reviewed Original ResearchLeft ventricular ejection fractionSevere aortic stenosisAortic stenosisAS progressionAV VmaxTransthoracic echocardiographyYale New Haven Health SystemBaseline left ventricular ejection fractionAortic stenosis progressionModerate aortic stenosisRetrospective cohort studyVentricular ejection fractionTwo-dimensional echocardiographyMean rateModerate ASAS severityCohort studyEjection fractionPatient sexStenosis progressionTTE studiesEligible participantsSerial monitoringSpecialized centersTimely diagnosis
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
Association of Biologic Therapy With Coronary Inflammation in Patients With Psoriasis as Assessed by Perivascular Fat Attenuation Index
Elnabawi YA, Oikonomou EK, Dey AK, Mancio J, Rodante JA, Aksentijevich M, Choi H, Keel A, Erb-Alvarez J, Teague HL, Joshi AA, Playford MP, Lockshin B, Choi AD, Gelfand JM, Chen MY, Bluemke DA, Shirodaria C, Antoniades C, Mehta NN. Association of Biologic Therapy With Coronary Inflammation in Patients With Psoriasis as Assessed by Perivascular Fat Attenuation Index. JAMA Cardiology 2019, 4: 885-891. PMID: 31365032, PMCID: PMC6669789, DOI: 10.1001/jamacardio.2019.2589.Peer-Reviewed Original ResearchConceptsPerivascular fat attenuation indexFat attenuation indexBiologic psoriasis therapyBiologic therapyCoronary inflammationSevere psoriasisPsoriasis therapyCoronary plaquesSkin diseasesAnti-tumor necrosis factor αChronic inflammatory skin diseaseDifferent biologic agentsTraditional risk scoresCoronary plaque burdenLow cardiovascular riskProspective cohort studyAnti-inflammatory effectsCoronary artery diseaseInflammatory skin diseaseCoronary atherosclerotic plaquesNecrosis factor αSevere skin diseaseCardiovascular eventsCardiovascular riskCohort study