Featured Publications
Severe aortic stenosis detection by deep learning applied to echocardiography
Holste G, Oikonomou E, Mortazavi B, Coppi A, Faridi K, Miller E, Forrest J, McNamara R, Ohno-Machado L, Yuan N, Gupta A, Ouyang D, Krumholz H, Wang Z, Khera R. Severe aortic stenosis detection by deep learning applied to echocardiography. European Heart Journal 2023, 44: 4592-4604. PMID: 37611002, PMCID: PMC11004929, DOI: 10.1093/eurheartj/ehad456.Peer-Reviewed Original ResearchConceptsSevere aortic stenosisAssessment of Prognostic Value of Left Ventricular Global Longitudinal Strain for Early Prediction of Chemotherapy-Induced Cardiotoxicity
Oikonomou EK, Kokkinidis DG, Kampaktsis PN, Amir EA, Marwick TH, Gupta D, Thavendiranathan P. Assessment of Prognostic Value of Left Ventricular Global Longitudinal Strain for Early Prediction of Chemotherapy-Induced Cardiotoxicity. JAMA Cardiology 2019, 4: 1007-1018. PMID: 31433450, PMCID: PMC6705141, DOI: 10.1001/jamacardio.2019.2952.Peer-Reviewed Original ResearchConceptsCancer therapy-related cardiac dysfunctionGlobal longitudinal strainLeft ventricular global longitudinal strainVentricular global longitudinal strainPrognostic valueCutoff valuePublication biasMeasurement of GLSNew-onset heart failure symptomsAbsolute global longitudinal strainWorse global longitudinal strainLarge prospective multicenter studyLeft ventricular ejection fractionDiscriminatory performanceLongitudinal strainChemotherapy-Induced CardiotoxicityGLS cutoff valueSubclinical ventricular dysfunctionHeart failure symptomsProspective multicenter studyVentricular ejection fractionCochrane Library databasesRisk of biasOptimal cutoff valueBetter prognostic performance
2019
Meta-Analysis of Transthoracic Echocardiography Versus Cardiac Magnetic Resonance for the Assessment of Aortic Regurgitation After Transcatheter Aortic Valve Implantation
Papanastasiou CA, Kokkinidis DG, Jonnalagadda AK, Oikonomou EK, Kampaktsis PN, Garcia MJ, Myerson SG, Karamitsos TD. Meta-Analysis of Transthoracic Echocardiography Versus Cardiac Magnetic Resonance for the Assessment of Aortic Regurgitation After Transcatheter Aortic Valve Implantation. The American Journal Of Cardiology 2019, 124: 1246-1251. PMID: 31466694, DOI: 10.1016/j.amjcard.2019.07.036.Peer-Reviewed Original ResearchConceptsTranscatheter aortic valve implantationCardiac magnetic resonanceSevere aortic regurgitationAortic regurgitationAortic valve implantationValve implantationPost-TAVI aortic regurgitationHierarchical summary receiver operator characteristic curveSeverity of ARLevel of agreementDiagnostic accuracyResidual aortic regurgitationReceiver operator characteristic curveOperator characteristic curveTransthoracic echocardiographyEchocardiographic assessmentMajor complicationsSummary receiver operator characteristic curveMagnetic resonanceAR assessmentElectronic databasesMeta-AnalysisSystematic reviewClinical settingKappa coefficient
2016
Prognostic implications of epicardial fat volume quantification in acute pericarditis
Lazaros G, Antonopoulos AS, Oikonomou EK, Vasileiou P, Oikonomou E, Stroumpouli E, Karavidas A, Antoniades C, Tousoulis D. Prognostic implications of epicardial fat volume quantification in acute pericarditis. European Journal Of Clinical Investigation 2016, 47: 129-136. PMID: 27931089, DOI: 10.1111/eci.12711.Peer-Reviewed Original ResearchConceptsEpicardial fat volumeCardiac computerized tomographyComposite clinical endpointAcute pericarditisIncessant pericarditisChest painPrognostic implicationsClinical endpointsPoor responsePericardial effusion sizeOutcomes of patientsAtrial fibrillation developmentImportant prognostic implicationsCardiovascular disease pathogenesisAnti-inflammatory drugsLower odds ratioFifty patientsClinical featuresEffusion sizeFirst diagnosisPrognostic informationOdds ratioPericarditisFat volumePatients