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
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
2018
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
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