2023
Identifying treatment heterogeneity in atrial fibrillation using a novel causal machine learning method
Ngufor C, Yao X, Inselman J, Ross J, Dhruva S, Graham D, Lee J, Siontis K, Desai N, Polley E, Shah N, Noseworthy P, MN; New Haven C. Identifying treatment heterogeneity in atrial fibrillation using a novel causal machine learning method. American Heart Journal 2023, 260: 124-140. PMID: 36893934, PMCID: PMC10615250, DOI: 10.1016/j.ahj.2023.02.015.Peer-Reviewed Original ResearchConceptsOral anticoagulantsAtrial fibrillationPatient subgroupsComposite outcomeIschemic strokeEffect of OACsLifelong oral anticoagulationNonvitamin K antagonistNew oral anticoagulantsNonvalvular atrial fibrillationPrimary composite outcomeGlomerular filtration rateFuture prospective studiesOptumLabs Data WarehousePopulation-level effectivenessOAC useOral anticoagulationVASc scoreCause mortalityK antagonistsPrimary endpointWarfarin usersRenal functionAF patientsEntire cohort
2014
Place of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd point