2018
Association of Atrial Fibrillation Clinical Phenotypes with Treatment Patterns and Outcomes: A Multicenter Registry Study
Inohara T, Shrader P, Pieper K, Blanco RG, Thomas L, Singer DE, Freeman JV, Allen LA, Fonarow GC, Gersh B, Ezekowitz MD, Kowey PR, Reiffel JA, Naccarelli GV, Chan PS, Steinberg BA, Peterson ED, Piccini JP. Association of Atrial Fibrillation Clinical Phenotypes with Treatment Patterns and Outcomes: A Multicenter Registry Study. JAMA Cardiology 2018, 3: 54-63. PMID: 29128866, PMCID: PMC5833527, DOI: 10.1001/jamacardio.2017.4665.Peer-Reviewed Original ResearchConceptsAtrial fibrillationAtherosclerotic comorbiditiesMajor bleedingComorbidity clustersNeurological eventsClinical outcomesDevice implantationORBIT-AF II registryPrior coronary artery diseaseAtrial Fibrillation RegistryComorbid behavioral disordersMulticenter registry studyBaseline clinical characteristicsImportance of comorbiditiesBetter Informed TreatmentSinus node dysfunctionCoronary artery diseaseData-driven cluster analysisHemostasis criteriaClinical characteristicsObservational cohortRegistry studyTotal patientsArtery diseaseAtrial size
2014
Digoxin and Risk of Death in Adults With Atrial Fibrillation
Freeman JV, Reynolds K, Fang M, Udaltsova N, Steimle A, Pomernacki NK, Borowsky LH, Harrison TN, Singer DE, Go AS. Digoxin and Risk of Death in Adults With Atrial Fibrillation. Circulation Arrhythmia And Electrophysiology 2014, 8: 49-58. PMID: 25414270, PMCID: PMC4334705, DOI: 10.1161/circep.114.002292.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overAnti-Arrhythmia AgentsAtrial FibrillationCaliforniaChi-Square DistributionDigoxinFemaleHospitalizationHumansKaplan-Meier EstimateMaleMiddle AgedPatient SelectionPropensity ScoreProportional Hazards ModelsRetrospective StudiesRisk AssessmentRisk FactorsTreatment OutcomeConceptsRisk of deathIncident atrial fibrillationAtrial fibrillationDigoxin useHigh riskHeart failureIndependent associationPropensity score-matched adultsKaiser Permanente NorthernPrevious heart failureRetrospective cohort studyResearch Network StudySubgroups of ageCohort studyCox regressionAdverse outcomesRisk factorsHospitalizationFibrillationDigoxinDeathLimited dataAdultsRiskHigh rate
2011
The Impact of ST Elevation on Athletic Screening
Leo T, Uberoi A, Jain NA, Garza D, Chowdhury S, Freeman JV, Perez M, Ashley E, Froelicher V. The Impact of ST Elevation on Athletic Screening. Clinical Journal Of Sport Medicine 2011, 21: 433-440. PMID: 21892017, DOI: 10.1097/jsm.0b013e31822cf105.Peer-Reviewed Original ResearchConceptsST elevationCardiac eventsCardiac deathEarly repolarizationVeterans Affairs Palo Alto Health Care SystemRetrospective cohort studyAbnormal test resultsClinical patient cohortUniversity varsity athletesHealth care systemCardiovascular mortalityCohort studyClinical outcomesAmbulatory individualsVital statusAthletic screeningECG abnormalitiesPatient cohortLateral leadsMyocardial ischemiaBrugada syndromeHigh prevalenceCardiac conditionsHeart rateJ waves
2008
Prediction of Cardiovascular Death using a Novel Heart Rate Recovery Parameter
HADLEY DM, DEWEY FE, FREEMAN JV, MYERS JN, FROELICHER VF. Prediction of Cardiovascular Death using a Novel Heart Rate Recovery Parameter. Medicine & Science In Sports & Exercise 2008, 40: 1072-1079. PMID: 18460999, DOI: 10.1249/mss.0b013e318167665a.Peer-Reviewed Original ResearchConceptsDuke treadmill scoreHeart rate recoveryHR increaseCV mortalityVagal toneCardiovascular causesCardiovascular deathPeak exerciseLowest tertileTreadmill scoreCox analysisClinical parametersMaximal exerciseSympathetic influencesExercise indexRate recoveryVagal influencePrognostic measurementMortalityPatientsRecovery variablesNormal scoresScoresExerciseRecovery parameters