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 StatementsMeSH KeywordsArtificial IntelligenceCardiovascular DiseasesDiabetes MellitusHeart Disease Risk FactorsHumansMachine LearningRisk FactorsConceptsArtificial intelligence solutionsArtificial intelligence productsData-driven methodIntelligence solutionsArtificial intelligenceMachine learningPersonalized solutionsIntelligence productsBias mitigationMachineKey issuesPredictive modelSuch modelsSuccessful applicationRisk predictionParadigm shiftIntelligenceKey propertiesApplicationsLearningPersonalized careFrameworkSolutionCurrent regulatory frameworkHealthcare
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 ResearchMeSH KeywordsCanagliflozinCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHeart Disease Risk FactorsHumansMaleRisk FactorsConceptsCanagliflozin 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-AnalysisStandardized 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