2024
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 structureFactors associated with reporting left ventricular ejection fraction with 3D echocardiography in real‐world practice
Faridi K, Zhu Z, Shah N, Crandall I, McNamara R, Flueckiger P, Bachand K, Lombo B, Hur D, Agarwal V, Reinhardt S, Velazquez E, Sugeng L. Factors associated with reporting left ventricular ejection fraction with 3D echocardiography in real‐world practice. Echocardiography 2024, 41: e15774. PMID: 38329886, DOI: 10.1111/echo.15774.Peer-Reviewed Original ResearchConceptsTransthoracic echocardiogramVentricular ejection fractionOutpatient transthoracic echocardiogramsReal-world practiceEjection fractionLeft ventricular ejection fractionAssess left ventricular ejection fractionInpatient transthoracic echocardiogramsMultivariate logistic regressionLVEFHospitalized patientsMedical CenterSonographersClinical settingLogistic regressionUltrasound machineChemotherapyContrast enhancement agentsPortable studiesNegative association
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
2008
Systolic Function as a Predictor of Mortality and Quality of Life in Long‐term Survivors with Heart Failure
McNamara R, Austin B, Wang Y, Smith G, Vaccarine V, Krumholz H. Systolic Function as a Predictor of Mortality and Quality of Life in Long‐term Survivors with Heart Failure. Clinical Cardiology 2008, 31: 119-124. PMID: 18383045, PMCID: PMC6653267, DOI: 10.1002/clc.20118.Peer-Reviewed Original ResearchConceptsQuality of lifeEjection fractionHeart failureLong-term survivorsFunctional declineSystolic functionKansas City Cardiomyopathy Questionnaire scoreModest survival advantageReduced ejection fractionDaily living scoreDisease-related qualityPredictors of mortalityHeart failure patientsClinical summary scoreLong-term survivalHigh mortality rateKCCQ scoresRenal insufficiencyFailure patientsLiving scoreDiabetes mellitusOverall mortalityPrimary outcomeLimitation scoresQOL scores