2025
Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study
Oikonomou E, Vaid A, Holste G, Coppi A, McNamara R, Baloescu C, Krumholz H, Wang Z, Apakama D, Nadkarni G, Khera R. Artificial intelligence-guided detection of under-recognised cardiomyopathies on point-of-care cardiac ultrasonography: a multicentre study. The Lancet Digital Health 2025, 7: e113-e123. PMID: 39890242, DOI: 10.1016/s2589-7500(24)00249-8.Peer-Reviewed Original ResearchConceptsYale New Haven Health SystemPoint-of-care ultrasonographyMount Sinai Health SystemTransthyretin amyloid cardiomyopathyArtificial intelligenceHealth systemAmyloid cardiomyopathyHypertrophic cardiomyopathyRetrospective cohort of individualsCardiomyopathy casesTesting artificial intelligenceConvolutional neural networkSinai Health SystemCohort of individualsOpportunistic screeningHypertrophic cardiomyopathy casesMulti-labelPositive screenAI frameworkEmergency departmentMortality riskNeural networkLoss functionCardiac ultrasonographyAugmentation approach
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 structure
2023
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 ResearchVariation in Reader-Reported Severity of Paradoxical Low-Flow Low-Gradient Aortic Stenosis
Shah N, Sugeng L, Zhang Z, Wang K, McNamara R, Agarwal V, Hur D, Lombo B, Bellumkonda L, Mankbadi M, Basem Dajani A, Forrest J, Krumholz H, Reinhardt S, Velazquez E, Faridi K. Variation in Reader-Reported Severity of Paradoxical Low-Flow Low-Gradient Aortic Stenosis. Journal Of The American Society Of Echocardiography 2023, 37: 466-467. PMID: 37995937, DOI: 10.1016/j.echo.2023.11.014.Peer-Reviewed Original ResearchPredicting 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
2015
Development of a Hospital Outcome Measure Intended for Use With Electronic Health Records
McNamara RL, Wang Y, Partovian C, Montague J, Mody P, Eddy E, Krumholz HM, Bernheim SM. Development of a Hospital Outcome Measure Intended for Use With Electronic Health Records. Medical Care 2015, 53: 818-826. PMID: 26225445, DOI: 10.1097/mlr.0000000000000402.Peer-Reviewed Original ResearchConceptsElectronic health recordsOutcome measuresClinical dataMortality rateClinical practiceFuture quality improvement measuresRisk-standardized mortality ratesHospital risk-standardized mortality ratesLow-mortality hospitalsHealth recordsSystolic blood pressureOdds of mortalityClinical registry dataAcute myocardial infarctionHigh-mortality hospitalsHospital outcome measuresEHR dataFinal risk modelCurrent clinical practiceStandard clinical practiceFirst outcome measureNational Quality ForumCurrent electronic health recordsQuality improvement measuresChart abstraction
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
2007
Impact of Delay in Door-to-Needle Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction
McNamara RL, Herrin J, Wang Y, Curtis JP, Bradley EH, Magid DJ, Rathore SS, Nallamothu BK, Peterson ED, Blaney ME, Frederick P, Krumholz HM. Impact of Delay in Door-to-Needle Time on Mortality in Patients With ST-Segment Elevation Myocardial Infarction. The American Journal Of Cardiology 2007, 100: 1227-1232. PMID: 17920362, PMCID: PMC2715362, DOI: 10.1016/j.amjcard.2007.05.043.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overArrhythmias, CardiacCaliforniaCohort StudiesEmergency Service, HospitalEmergency TreatmentFemaleFibrinolytic AgentsHospital MortalityHumansMaleMedical RecordsMyocardial InfarctionOutcome Assessment, Health CareRegistriesRetrospective StudiesThrombolytic TherapyTime and Motion StudiesTime FactorsConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionNeedle timeFibrinolytic therapyMyocardial infarctionHospital mortalitySymptom onsetOdds ratioReperfusion strategyAdjunctive medicationsHospital arrivalShorter doorTimely administrationNational registryRepresentative cohortPatientsMortalityInfarctionTherapyIndependent effectsCohortMinutesSmaller centersOnsetImpact of delay
2006
Reply
McNamara R, Wang Y, Herrin J, Bradley E, Krumholz H. Reply. Journal Of The American College Of Cardiology 2006, 48: 2601. DOI: 10.1016/j.jacc.2006.09.022.Peer-Reviewed Original ResearchStrategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction
Bradley EH, Herrin J, Wang Y, Barton BA, Webster TR, Mattera JA, Roumanis SA, Curtis JP, Nallamothu BK, Magid DJ, McNamara RL, Parkosewich J, Loeb JM, Krumholz HM. Strategies for Reducing the Door-to-Balloon Time in Acute Myocardial Infarction. New England Journal Of Medicine 2006, 355: 2308-2320. PMID: 17101617, DOI: 10.1056/nejmsa063117.Peer-Reviewed Original ResearchConceptsST-segment elevationBalloon timeCatheterization laboratoryMyocardial infarctionFaster doorEmergency departmentPrimary percutaneous coronary interventionHospital strategiesIntracoronary balloon inflationPercutaneous coronary interventionAcute myocardial infarctionMinority of hospitalsEmergency medicine physiciansReperfusion treatmentCoronary interventionBalloon inflationMedicine physiciansMultivariate analysisHospitalInfarctionPatientsMedicaid ServicesSignificant reductionReal-time data feedbackData feedbackAchieving Quality in Cardiovascular Imaging Proceedings From the American College of Cardiology–Duke University Medical Center Think Tank on Quality in Cardiovascular Imaging
Douglas P, Iskandrian AE, Krumholz HM, Gillam L, Hendel R, Jollis J, Peterson E, Douglas P, Chen J, Gillam L, Hendel R, Jollis J, Iskandrian A, Krumholz H, Masoudi F, Mohler E, McNamara R, Patel M, Peterson E, Spertus J. Achieving Quality in Cardiovascular Imaging Proceedings From the American College of Cardiology–Duke University Medical Center Think Tank on Quality in Cardiovascular Imaging. Journal Of The American College Of Cardiology 2006, 48: 2141-2151. PMID: 17113004, DOI: 10.1016/j.jacc.2006.06.076.Peer-Reviewed Original Research
2005
Hospital Improvement in Time to Reperfusion in Patients With Acute Myocardial Infarction, 1999 to 2002
McNamara RL, Herrin J, Bradley EH, Portnay EL, Curtis JP, Wang Y, Magid DJ, Blaney M, Krumholz HM, Investigators N. Hospital Improvement in Time to Reperfusion in Patients With Acute Myocardial Infarction, 1999 to 2002. Journal Of The American College Of Cardiology 2005, 47: 45-51. PMID: 16386663, PMCID: PMC1475926, DOI: 10.1016/j.jacc.2005.04.071.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionBalloon timeMin/yearNeedle timeMyocardial infarctionHospital characteristicsAcute ST-segment elevation myocardial infarctionPercutaneous coronary intervention cohortPercutaneous coronary intervention volumeElevation myocardial infarctionPercutaneous coronary interventionRetrospective observational studyFour-year study periodRapid reperfusionCoronary interventionFibrinolytic therapyHospital arrivalTherapy cohortReperfusion timeIntervention cohortNational registryIntervention volumeObservational studyHospital improvementPatients
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