2023
Variation in hospital use of cardiac resynchronization therapy-defibrillator among eligible patients and association with clinical outcomes
Chui P, Lan Z, Freeman J, Enriquez A, Khera R, Akar J, Masoudi F, Ong E, Curtis J. Variation in hospital use of cardiac resynchronization therapy-defibrillator among eligible patients and association with clinical outcomes. Heart Rhythm 2023, 20: 1000-1008. PMID: 36963741, DOI: 10.1016/j.hrthm.2023.03.022.Peer-Reviewed Original ResearchConceptsEligible patientsICD RegistryCardiac resynchronizationNational Cardiovascular Data Registry ICD RegistryCRT-D implantationCRT-D useHospital-level outcomesStrong guideline recommendationsHospital-level variationPatient-level outcomesIntraclass correlation coefficientQuality improvement effortsHospital mortalityGuideline indicationsReadmission ratesSelect patientsClinical outcomesGuideline recommendationsHospital variationHospital ratesUse of CRTHospital levelHospital usePatientsCase mix
2020
Predictors of Cardiac Perforation With Catheter Ablation of Atrial Fibrillation
Friedman DJ, Pokorney SD, Ghanem A, Marcello S, Kalsekar I, Yadalam S, Akar JG, Freeman JV, Goldstein L, Khanna R, Piccini JP. Predictors of Cardiac Perforation With Catheter Ablation of Atrial Fibrillation. JACC Clinical Electrophysiology 2020, 6: 636-645. PMID: 32553212, DOI: 10.1016/j.jacep.2020.01.011.Peer-Reviewed Original ResearchMeSH KeywordsAgedAtrial FibrillationCatheter AblationFemaleHumansMedicareRisk FactorsTreatment OutcomeUnited StatesConceptsPrevious cardiac surgeryCardiac perforationAF ablationIntracardiac echocardiographyCardiac surgeryFemale sexDiagnosis of hemopericardiumPatient risk factorsSubset of patientsAtrial fibrillation ablationContemporary clinical practiceIntraprocedural intracardiac echocardiographyLogistic regression modelsCardiac tamponadeFatal complicationProcedural complicationsRare complicationCatheter ablationFibrillation ablationAtrial fibrillationModifiable factorsRisk factorsProcedural safetyRisk scoreLower risk
2019
Outcomes and costs of remote patient monitoring among patients with implanted cardiac defibrillators: An economic model based on the PREDICT RM database
Hummel JP, Leipold RJ, Amorosi SL, Bao H, Deger KA, Jones PW, Kansal AR, Ott LS, Stern S, Stein K, Curtis JP, Akar JG. Outcomes and costs of remote patient monitoring among patients with implanted cardiac defibrillators: An economic model based on the PREDICT RM database. Journal Of Cardiovascular Electrophysiology 2019, 30: 1066-1077. PMID: 30938894, PMCID: PMC6850124, DOI: 10.1111/jce.13934.Peer-Reviewed Original ResearchAgedAged, 80 and overArrhythmias, CardiacCost-Benefit AnalysisDatabases, FactualDeath, Sudden, CardiacDefibrillators, ImplantableElectric CountershockFemaleHealth Care CostsHumansMaleMedicareModels, EconomicPatient ReadmissionPredictive Value of TestsQuality-Adjusted Life YearsRegistriesRemote Sensing TechnologyTelemetryTime FactorsTreatment OutcomeUnited States
2017
Addition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization
Al-Chekakie MO, Bao H, Jones PW, Stein KM, Marzec L, Varosy PD, Masoudi FA, Curtis JP, Akar JG. Addition of Blood Pressure and Weight Transmissions to Standard Remote Monitoring of Implantable Defibrillators and its Association with Mortality and Rehospitalization. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003087. PMID: 28506978, DOI: 10.1161/circoutcomes.116.003087.Peer-Reviewed Original ResearchConceptsBlood pressure dataImplantable defibrillatorsRemote patient monitoringTransmission of weightHeart failure hospitalizationImpaired ejection fractionCardiac resynchronization therapyCox regression modelRisk of mortalityLogistic regression modelsRoutine weightCause hospitalizationFailure hospitalizationBlood pressureCardiovascular hospitalizationEjection fractionResynchronization therapyRegression modelsDevice implantationService patientsHospital characteristicsIndependent associationImproved outcomesLandmark analysisSimilar riskNational Trends in Atrial Fibrillation Hospitalization, Readmission, and Mortality for Medicare Beneficiaries, 1999–2013
Freeman JV, Wang Y, Akar J, Desai N, Krumholz H. National Trends in Atrial Fibrillation Hospitalization, Readmission, and Mortality for Medicare Beneficiaries, 1999–2013. Circulation 2017, 135: 1227-1239. PMID: 28148599, DOI: 10.1161/circulationaha.116.022388.Peer-Reviewed Original Research