2020
Psychological stress in heart failure: a potentially actionable disease modifier
Harris KM, Jacoby DL, Lampert R, Soucier RJ, Burg MM. Psychological stress in heart failure: a potentially actionable disease modifier. Heart Failure Reviews 2020, 26: 561-575. PMID: 33215323, PMCID: PMC8026548, DOI: 10.1007/s10741-020-10056-8.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsHeart failurePsychological stressHeart failure symptomsHeart failure patientsLife stressorsDisease-related consequencesQuality of lifePatterns of exposureAdverse eventsFailure patientsDisease courseEjection fractionPatients' qualityModifiable factorsPatient subgroupsSymptom exacerbationDaily life stressorsFailure symptomsPathophysiological pathwaysEffective diseaseFunctional limitationsDiminished qualityPatientsActionable pathwaysStress exposureAccess and Outcomes Among Hypertrophic Cardiomyopathy Patients in a Large Integrated Health System
Thomas A, Papoutsidakis N, Spatz E, Testani J, Soucier R, Chou J, Ahmad T, Darr U, Hu X, Li F, Chen ME, Bellumkonda L, Sumathipala A, Jacoby D. Access and Outcomes Among Hypertrophic Cardiomyopathy Patients in a Large Integrated Health System. Journal Of The American Heart Association 2020, 9: e014095. PMID: 31973610, PMCID: PMC7033886, DOI: 10.1161/jaha.119.014095.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedCardiomyopathy, HypertrophicCause of DeathConnecticutDelivery of Health Care, IntegratedFemaleHealthcare DisparitiesHeart Disease Risk FactorsHospitalizationHumansMaleMiddle AgedOutcome and Process Assessment, Health CareReferral and ConsultationRetrospective StudiesRisk AssessmentSocial ClassSocial Determinants of HealthTreatment OutcomeConceptsSpecialty careHCM patientsCare cohortHypertrophic cardiomyopathyYale New Haven Health SystemLarge integrated health systemHealth systemBackground Hypertrophic cardiomyopathyRetrospective cohort studySocioeconomic statusPatients' socioeconomic statusHigher socioeconomic status groupsHypertrophic cardiomyopathy patientsIntegrated health systemSpecialty care accessSocioeconomic status groupsMedical insurance providersCardiomyopathy clinicCause deathLSES patientsCause hospitalizationCause mortalityNoncardiac causesCohort studySecondary outcomes
2019
Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction
Angraal S, Mortazavi BJ, Gupta A, Khera R, Ahmad T, Desai NR, Jacoby DL, Masoudi FA, Spertus JA, Krumholz HM. Machine Learning Prediction of Mortality and Hospitalization in Heart Failure With Preserved Ejection Fraction. JACC Heart Failure 2019, 8: 12-21. PMID: 31606361, DOI: 10.1016/j.jchf.2019.06.013.Peer-Reviewed Original ResearchConceptsHF hospitalizationRisk of mortalityEjection fractionBlood urea nitrogen levelsLogistic regressionPrevious HF hospitalizationHeart failure hospitalizationReduced ejection fractionReceiver-operating characteristic curveRisk of deathBody mass indexBlood urea nitrogenUrea nitrogen levelsHealth status dataMean c-statisticKCCQ scoresTOPCAT trialFailure hospitalizationHeart failureHemoglobin levelsMass indexC-statisticHospitalizationUrea nitrogenMortality