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
2021
PCSK9 Inhibiting Monoclonal Antibodies
Ahmed Z, Juthani P, Lee M, Desai N. PCSK9 Inhibiting Monoclonal Antibodies. Stroke Revisited 2021, 125-133. DOI: 10.1007/978-981-16-3923-4_11.Peer-Reviewed Original ResearchProprotein convertase subtilisin/kexin type 9Lipid-lowering medicationsSubset of patientsIschemic strokeLower PCSK9Low-density lipoprotein cholesterolConvertase subtilisin/kexin type 9Subtilisin/kexin type 9Monoclonal antibodiesCoenzyme A (HMG-CoA) reductase inhibitorsComponents of dyslipidemiaHigh-intensity statinsStroke risk reductionModifiable risk factorsHealthy lifestyle modificationsLDL-C levelsRisk of strokeStatin-induced myopathyTreatment of hyperlipidemiaA Reductase InhibitorsLifestyle modificationStatin useLipoprotein cholesterolPCSK9 inhibitorsStroke outcome