2024
Characteristics of High-Performing Hospitals in Cardiogenic Shock Following Acute Myocardial Infarction
Saha A, Li S, de Lemos J, Pandey A, Bhatt D, Fonarow G, Nallamothu B, Wang T, Navar A, Peterson E, Matsouaka R, Bavry A, Das S, Grodin J, Khera R, Drazner M, Kumbhani D, Registry N. Characteristics of High-Performing Hospitals in Cardiogenic Shock Following Acute Myocardial Infarction. The American Journal Of Cardiology 2024, 221: 19-28. PMID: 38583700, DOI: 10.1016/j.amjcard.2024.04.002.Peer-Reviewed Original ResearchAMI-CSNational Cardiovascular Data Registry Chest Pain-MI RegistryAcute myocardial infarctionChest Pain-MI RegistryRisk adjustmentRisk-adjusted multivariate logistic regressionHigh-performing hospitalsHospital-level characteristicsAssociated with lower in-hospital mortalityAssociated with decreased mortalityMultivariate logistic regressionFactors associated with decreased mortalityLower in-hospital mortalityMedian participant ageMyocardial infarctionIn-hospital mortalityCohort databaseParticipant ageOutcomes researchLogistic regressionCardiogenic shockLeft ventricular assist deviceCo-morbiditiesRetrospective cohort databaseTertile
2021
Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction
Khera R, Haimovich J, Hurley NC, McNamara R, Spertus JA, Desai N, Rumsfeld JS, Masoudi FA, Huang C, Normand SL, Mortazavi BJ, Krumholz HM. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction. JAMA Cardiology 2021, 6: 633-641. PMID: 33688915, PMCID: PMC7948114, DOI: 10.1001/jamacardio.2021.0122.Peer-Reviewed Original ResearchConceptsMachine learning modelsMeta-classifier modelLearning modelNeural networkGradient descent boostingAcute myocardial infarctionContemporary machineGradient descentXGBoost modelXGBoostHospital mortalityCohort studyLogistic regressionMyocardial infarctionNetworkChest Pain-MI RegistryPrecise classificationIndependent validation dataInitial laboratory valuesNovel methodLarge national registryHigh-risk individualsData analysisValidation dataResolution of risk
2020
Temporal Trends in Racial Differences in 30-Day Readmission and Mortality Rates After Acute Myocardial Infarction Among Medicare Beneficiaries
Pandey A, Keshvani N, Khera R, Lu D, Vaduganathan M, Maddox K, Das SR, Kumbhani DJ, Goyal A, Girotra S, Chan P, Fonarow GC, Matsouaka R, Wang TY, de Lemos JA. Temporal Trends in Racial Differences in 30-Day Readmission and Mortality Rates After Acute Myocardial Infarction Among Medicare Beneficiaries. JAMA Cardiology 2020, 5: 136-145. PMID: 31913411, PMCID: PMC6990949, DOI: 10.1001/jamacardio.2019.4845.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionNonblack patientsMyocardial infarctionReadmission ratesMortality rateBlack patientsChest Pain-MI RegistryThirty-day readmission ratesRacial disparitiesExcess readmission ratiosPenalty statusObservational cohort analysisPatient-level factorsRacial differencesReadmissions Reduction ProgramHigher unadjusted oddsHRRP implementationCause readmissionPatient characteristicsUnadjusted oddsBlack raceThirty-dayAdjusted associationsReadmission ratios