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
2017
Contemporary risk model for inhospital major bleeding for patients with acute myocardial infarction: The acute coronary treatment and intervention outcomes network (ACTION) registry®–Get With The Guidelines (GWTG)®
Desai NR, Kennedy KF, Cohen DJ, Connolly T, Diercks DB, Moscucci M, Ramee S, Spertus J, Wang TY, McNamara RL. Contemporary risk model for inhospital major bleeding for patients with acute myocardial infarction: The acute coronary treatment and intervention outcomes network (ACTION) registry®–Get With The Guidelines (GWTG)®. American Heart Journal 2017, 194: 16-24. PMID: 29223432, DOI: 10.1016/j.ahj.2017.08.004.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionIntervention Outcomes Network RegistryAcute Coronary TreatmentInhospital major bleedingMajor bleedingRisk scoreCoronary TreatmentValidation cohortMyocardial infarctionHigh riskLower riskContemporary risk modelsProspective risk stratificationSimplified risk scoreHospital quality assessmentRisk adjustment methodsBaseline hemoglobinCardiogenic shockCreatinine clearanceFrequent complicationDerivation cohortHeart failureRisk stratificationSignificant morbidityCardiac arrest
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
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