2020
Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock
Dhruva SS, Ross JS, Mortazavi BJ, Hurley NC, Krumholz HM, Curtis JP, Berkowitz A, Masoudi FA, Messenger JC, Parzynski CS, Ngufor C, Girotra S, Amin AP, Shah ND, Desai NR. Association of Use of an Intravascular Microaxial Left Ventricular Assist Device vs Intra-aortic Balloon Pump With In-Hospital Mortality and Major Bleeding Among Patients With Acute Myocardial Infarction Complicated by Cardiogenic Shock. JAMA 2020, 323: 734-745. PMID: 32040163, PMCID: PMC7042879, DOI: 10.1001/jama.2020.0254.Peer-Reviewed Original ResearchMeSH KeywordsAgedCause of DeathExtracorporeal Membrane OxygenationFemaleHeart ArrestHeart-Assist DevicesHemorrhageHospital MortalityHumansIntra-Aortic Balloon PumpingMaleMatched-Pair AnalysisMiddle AgedMyocardial InfarctionPercutaneous Coronary InterventionPropensity ScoreRegistriesRetrospective StudiesShock, CardiogenicST Elevation Myocardial InfarctionConceptsMicroaxial left ventricular assist deviceIntra-aortic balloon pumpLeft ventricular assist deviceAcute myocardial infarctionPercutaneous coronary interventionNational Cardiovascular Data RegistryCardiogenic shockHemodynamic supportMyocardial infarctionRegistry-based retrospective cohort studyCardiology-National Cardiovascular Data RegistryChest Pain-MI RegistryST-elevation myocardial infarctionMechanical circulatory support devicesGreater hemodynamic supportHospital major bleedingRetrospective cohort studyPropensity-matched pairsCirculatory support devicesVentricular assist deviceClinical laboratory dataHospital mortalityMajor bleedingHospital deathCohort study
2019
Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention
Mortazavi BJ, Bucholz EM, Desai NR, Huang C, Curtis JP, Masoudi FA, Shaw RE, Negahban SN, Krumholz HM. Comparison of Machine Learning Methods With National Cardiovascular Data Registry Models for Prediction of Risk of Bleeding After Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e196835. PMID: 31290991, PMCID: PMC6624806, DOI: 10.1001/jamanetworkopen.2019.6835.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionMajor bleedingC-statisticCoronary interventionMAIN OUTCOMEIndex percutaneous coronary interventionSubsequent coronary artery bypassPercutaneous coronary intervention (PCI) proceduresHospital major bleedingMajor bleeding ratesNationwide clinical registryCoronary artery bypassCoronary intervention proceduresComparative effectiveness studiesRisk score modelComplexity of presentationMean c-statisticCoronary angiography dataRegistry modelNCDR modelsArtery bypassBleeding eventsPrediction of riskClinical variablesBleeding rate