2023
Association of Beta-Blocker Therapy With Cardiovascular Outcomes in Patients With Stable Ischemic Heart Disease
Godoy L, Farkouh M, Austin P, Shah B, Qiu F, Jackevicius C, Wijeysundera H, Krumholz H, Ko D. Association of Beta-Blocker Therapy With Cardiovascular Outcomes in Patients With Stable Ischemic Heart Disease. Journal Of The American College Of Cardiology 2023, 81: 2299-2311. PMID: 37316110, DOI: 10.1016/j.jacc.2023.04.021.Peer-Reviewed Original ResearchConceptsStable coronary artery diseaseCoronary artery diseaseBeta-blocker groupRecent myocardial infarctionHeart failureMyocardial infarctionCardiovascular eventsCoronary angiographyPrescription claimsObstructive coronary artery diseaseIndex coronary angiographyBeta-blocker therapyBeta-blocker useHeart failure hospitalizationElective coronary angiographyNew-user designMyocardial infarction hospitalizationsCause deathCardiovascular outcomesCause mortalityFailure hospitalizationCardioprotective benefitsArtery diseasePrimary outcomeIschemic heart
2021
Association of neighbourhood-level poverty with outcomes and clinical care following atrial fibrillation diagnosis in a universal healthcare system
Akioyamen L, Abdel-Qadir H, Pang A, Ha A, Jackevicius C, Alter D, Bhatia R, Dhalla I, Krumholz H, Roifman I, Wijeysundera H, Atzema C, Ko D, Schull M, Lee D, Investigators T. Association of neighbourhood-level poverty with outcomes and clinical care following atrial fibrillation diagnosis in a universal healthcare system. European Heart Journal 2021, 42: ehab724.0447. DOI: 10.1093/eurheartj/ehab724.0447.Peer-Reviewed Original ResearchAF diagnosisAtrial fibrillation diagnosisUniversal healthcare systemCardiology visitsIschemic strokeDeprivation quintileMedication coverageVascular diseaseCause-specific hazard regression modelStroke/transient ischemic attackPopulation-based cohort studyNeighborhood-level povertyAnti-arrhythmic medicationsHighest deprivation quintileRhythm control interventionsWorse baseline healthHeart failure hospitalizationTransient ischemic attackUniversal healthcareHazards regression modelsHealthcare systemProcess of careCommunity-dwelling adultsEquitable health careLong-term care
2020
Readmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure
Ko DT, Khera R, Lau G, Qiu F, Wang Y, Austin PC, Koh M, Lin Z, Lee DS, Wijeysundera HC, Krumholz HM. Readmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure. Journal Of The American College Of Cardiology 2020, 75: 736-746. PMID: 32081282, DOI: 10.1016/j.jacc.2019.12.026.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-discharge mortalityHospital mortalityReadmission ratesHospitalization ratesMyocardial infarctionMortality rateRisk-adjusted mortality ratesHospital Readmissions Reduction ProgramHF hospitalization ratesHeart failure hospitalizationPatients 65 yearsReadmissions Reduction ProgramFailure hospitalizationHF patientsSecondary outcomesHospital readmissionPrimary outcomeReadmissionMortalityAMI hospitalization ratesStudy periodPattern of outcomesHospitalizationOutcomes
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
2017
Impact of Telemonitoring on Health Status
Jayaram NM, Khariton Y, Krumholz HM, Chaudhry SI, Mattera J, Tang F, Herrin J, Hodshon B, Spertus JA. Impact of Telemonitoring on Health Status. Circulation Cardiovascular Quality And Outcomes 2017, 10: e004148. PMID: 29237746, PMCID: PMC5776725, DOI: 10.1161/circoutcomes.117.004148.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireUsual careHealth statusHeart failureKCCQ overall summary scoreRecent heart failure hospitalizationDisease-specific health statusKCCQ overall summaryHeart failure hospitalizationWeeks of dischargeRandomized clinical trialsOverall summary scoreKCCQ scoresNoninvasive TelemonitoringFailure hospitalizationBaseline characteristicsSecondary outcomesTreatment armsClinical trialsSummary scoresPatientsSubscale scoresCareHospitalizationScores
2016
A Nationwide Assessment of the Association of Smoking Bans and Cigarette Taxes With Hospitalizations for Acute Myocardial Infarction, Heart Failure, and Pneumonia
Ho V, Ross JS, Steiner CA, Mandawat A, Short M, Ku-Goto MH, Krumholz HM. A Nationwide Assessment of the Association of Smoking Bans and Cigarette Taxes With Hospitalizations for Acute Myocardial Infarction, Heart Failure, and Pneumonia. Medical Care Research And Review 2016, 74: 687-704. PMID: 27624634, PMCID: PMC5665160, DOI: 10.1177/1077558716668646.Peer-Reviewed Original ResearchConceptsHeart failure hospitalizationAcute myocardial infarctionHospitalization ratesSmoking bansFailure hospitalizationMyocardial infarctionCigarette taxesPneumonia hospitalization ratesPublic place smoking banComprehensive smoking banHigher cigarette taxesPersons age 60Pneumonia hospitalizationsHeart failureContemporaneous controlsProvider characteristicsHospitalizationAge 60State cigarette taxesHospitalization countsMultiple studiesLocal healthInfarctionNational studyAssociation
2014
“Phenotyping” Hospital Value of Care for Patients with Heart Failure
Xu X, Li S, Lin H, Normand S, Kim N, Ott LS, Lagu T, Duan M, Kroch EA, Krumholz HM. “Phenotyping” Hospital Value of Care for Patients with Heart Failure. Health Services Research 2014, 49: 2000-2016. PMID: 24974769, PMCID: PMC4254136, DOI: 10.1111/1475-6773.12197.Peer-Reviewed Original ResearchConceptsLower mortalityHeart failureHeart failure hospitalizationHospital mortality rateLonger hospital stayIntensive care unitDistinct joint trajectoriesValue of careFailure hospitalizationHospital stayCare unitClinical outcomesGroup of hospitalsHospital characteristicsHospital careHospital patternsSurgical proceduresMultinomial logistic regressionMortality rateHigh mortalityHospitalHospitalizationMortalityLogistic regressionHospital ValueHospital Variation in Intravenous Inotrope Use for Patients Hospitalized With Heart Failure
Allen LA, Fonarow GC, Grau-Sepulveda MV, Hernandez AF, Peterson PN, Partovian C, Li SX, Heidenreich PA, Bhatt DL, Peterson ED, Krumholz HM. Hospital Variation in Intravenous Inotrope Use for Patients Hospitalized With Heart Failure. Circulation Heart Failure 2014, 7: 251-260. PMID: 24488983, PMCID: PMC5459367, DOI: 10.1161/circheartfailure.113.000761.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiotonic AgentsCross-Sectional StudiesDose-Response Relationship, DrugFemaleFollow-Up StudiesGuideline AdherenceHeart FailureHospital MortalityHospitalsHumansInfusions, IntravenousInpatientsLength of StayMaleOutcome Assessment, Health CarePractice Patterns, Physicians'RegistriesRetrospective StudiesSurvival RateUnited StatesConceptsInotrope useHeart failureInotropic therapyInotropic agentsGuidelines-Heart Failure registryIntravenous inotropic agentsIntravenous inotropic therapyRisk-standardized ratesUse of inotropesHeart failure hospitalizationHospital-level ratesRandom hospital effectsFailure hospitalizationClinical characteristicsHospital factorsInpatient mortalityClinical factorsClinical outcomesHospital variationHospital characteristicsHospital effectsPatientsUS hospitalsHospitalStudy period
2013
National Trends in Heart Failure Hospitalization After Acute Myocardial Infarction for Medicare Beneficiaries
Chen J, Hsieh AF, Dharmarajan K, Masoudi FA, Krumholz HM. National Trends in Heart Failure Hospitalization After Acute Myocardial Infarction for Medicare Beneficiaries. Circulation 2013, 128: 2577-2584. PMID: 24190958, PMCID: PMC4415510, DOI: 10.1161/circulationaha.113.003668.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHF hospitalizationHeart failureMyocardial infarctionMedicare beneficiariesManagement of AMIHeart failure hospitalizationSubsequent HF hospitalizationNumber of patientsNational trendsHigh-risk conditionsContemporary national trendsRelative annual increaseDemographic factorsFailure hospitalizationPerson yearsClinical comorbiditiesNational sampleComplete national sampleHospitalizationMedicare feeAMI hospitalizationService beneficiariesAnnual declineStudy periodAcute Decompensated Heart Failure Is Routinely Treated as a Cardiopulmonary Syndrome
Dharmarajan K, Strait KM, Lagu T, Lindenauer PK, Tinetti ME, Lynn J, Li SX, Krumholz HM. Acute Decompensated Heart Failure Is Routinely Treated as a Cardiopulmonary Syndrome. PLOS ONE 2013, 8: e78222. PMID: 24250751, PMCID: PMC3824040, DOI: 10.1371/journal.pone.0078222.Peer-Reviewed Original ResearchConceptsDecompensated heart failureHeart failureRespiratory therapyHospital daysCardiopulmonary syndromeAcute decompensated heart failureAcute heart failure treatmentChronic obstructive pulmonary diseaseReceipt of medicationHeart failure hospitalizationHigh-dose corticosteroidsHospital day 2Hospital day 3Half of patientsChronic lung diseaseDays of hospitalizationHeart failure treatmentObstructive pulmonary diseaseShortness of breathIntensive care unitPrincipal discharge diagnosisLate intubationAcute asthmaFailure hospitalizationHospital death
2011
National and Regional Trends in Heart Failure Hospitalization and Mortality Rates for Medicare Beneficiaries, 1998-2008
Chen J, Normand SL, Wang Y, Krumholz HM. National and Regional Trends in Heart Failure Hospitalization and Mortality Rates for Medicare Beneficiaries, 1998-2008. JAMA 2011, 306: 1669-1678. PMID: 22009099, PMCID: PMC3688069, DOI: 10.1001/jama.2011.1474.Peer-Reviewed Original ResearchConceptsHF hospitalization ratesHeart failure hospitalizationHospitalization ratesMortality rateFailure hospitalizationHeart failure hospitalization ratesPrincipal discharge diagnosis codeOne-year mortality rateDischarge diagnosis codesIschemic heart diseaseAcute care hospitalsService Medicare beneficiariesLower ratesBlack menHF hospitalizationPatient demographicsCare hospitalDiagnosis codesHeart diseaseRisk factorsMedicare beneficiariesHospitalizationStudy periodMortalityNational mean
2010
Response to Letter Regarding Article, “Recent National Trends in Readmission Rates After Heart Failure Hospitalization”
Ross J, Krumholz H. Response to Letter Regarding Article, “Recent National Trends in Readmission Rates After Heart Failure Hospitalization”. Circulation Heart Failure 2010, 3: e17. DOI: 10.1161/circheartfailure.110.952895.Commentaries, Editorials and LettersHeart failure hospitalizationRecent national trendsFailure hospitalizationReadmission ratesNational trendsHospitalizationGeriatric Conditions and Subsequent Mortality in Older Patients With Heart Failure
Chaudhry SI, Wang Y, Gill TM, Krumholz HM. Geriatric Conditions and Subsequent Mortality in Older Patients With Heart Failure. Journal Of The American College Of Cardiology 2010, 55: 309-316. PMID: 20117435, PMCID: PMC2832791, DOI: 10.1016/j.jacc.2009.07.066.Peer-Reviewed Original ResearchConceptsLong-term mortalityGeriatric conditionsNet reclassification improvementMobility disabilityOlder patientsReclassification improvementRisk factorsMultivariable logistic regression modelHeart failure hospitalizationIndependent risk factorTraditional risk factorsMedical record dataFinal multivariable modelYears of ageLogistic regression modelsFailure hospitalizationTerm mortalityHeart failureIndependent predictorsPrognostic importanceMean ageMultivariable modelMedicare beneficiariesMortality rateSubsequent mortality
2009
Recent National Trends in Readmission Rates After Heart Failure Hospitalization
Ross JS, Chen J, Lin Z, Bueno H, Curtis JP, Keenan PS, Normand SL, Schreiner G, Spertus JA, Vidán MT, Wang Y, Wang Y, Krumholz HM. Recent National Trends in Readmission Rates After Heart Failure Hospitalization. Circulation Heart Failure 2009, 3: 97-103. PMID: 19903931, PMCID: PMC2830811, DOI: 10.1161/circheartfailure.109.885210.Peer-Reviewed Original ResearchConceptsCause readmission rateReadmission ratesHeart failureRecent national trendsHospital variationService beneficiariesAcute-care nonfederal hospitalsUS acute care hospitalsHeart failure hospitalizationHospital readmission ratesAcute care hospitalsNational trendsNational Quality ForumMedicare administrative dataDistinct hospitalizationsFailure hospitalizationMultiple comorbiditiesCare hospitalNonfederal hospitalsMedicare beneficiariesHospitalizationHospitalQuality ForumStudy periodAdministrative data
2008
Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review
Ross JS, Mulvey GK, Stauffer B, Patlolla V, Bernheim SM, Keenan PS, Krumholz HM. Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review. JAMA Internal Medicine 2008, 168: 1371-1386. PMID: 18625917, DOI: 10.1001/archinte.168.13.1371.Peer-Reviewed Original ResearchMeSH KeywordsDisease ProgressionEvidence-Based MedicineFemaleHeart FailureHospitalizationHumansIncidenceMaleModels, StatisticalPatient ReadmissionPredictive Value of TestsProportional Hazards ModelsQuality-Adjusted Life YearsRisk FactorsSensitivity and SpecificitySeverity of Illness IndexSurvival AnalysisUnited StatesConceptsPatient characteristicsPatient readmission riskReadmission riskPatient riskSystematic reviewReadmission ratesHospital ratesOvid Evidence-Based Medicine ReviewsEligible English-language publicationsEvidence-Based Medicine ReviewsHeart failure hospitalizationPatient risk stratificationEnglish-language literatureEnglish-language publicationsFailure hospitalizationHF hospitalizationAdult patientsHeart failureHospital readmissionMedicine ReviewsRisk stratificationPatient predictorsInclusion criteriaReadmissionCombined outcome
2007
Patterns of Weight Change Preceding Hospitalization for Heart Failure
Chaudhry SI, Wang Y, Concato J, Gill TM, Krumholz HM. Patterns of Weight Change Preceding Hospitalization for Heart Failure. Circulation 2007, 116: 1549-1554. PMID: 17846286, PMCID: PMC2892745, DOI: 10.1161/circulationaha.107.690768.Peer-Reviewed Original ResearchConceptsHeart failure hospitalizationHeart failureControl patientsFailure hospitalizationBody weightCase patientsWeight gainDecompensated heart failureHeart failure severityBaseline body weightHeart failure decompensationPatient's body weightAdjusted odds ratioCase-control studyGradual weight gainDisease management programsHigh-risk periodBasis of ageOdds ratioHospitalizationPatientsMean increaseDaily weightWeight changeHome monitoringTelemonitoring for Patients With Chronic Heart Failure: A Systematic Review
Chaudhry SI, Phillips CO, Stewart SS, Riegel B, Mattera JA, Jerant AF, Krumholz HM. Telemonitoring for Patients With Chronic Heart Failure: A Systematic Review. Journal Of Cardiac Failure 2007, 13: 56-62. PMID: 17339004, PMCID: PMC1910700, DOI: 10.1016/j.cardfail.2006.09.001.BooksConceptsHeart failure patientsFailure patientsHeart failureHigh-risk heart failure patientsHigh-risk Hispanic populationMonitoring of signsChronic heart failureHeart failure hospitalizationLow-risk patientsDisease managementHigh-quality careFailure hospitalizationNegative studiesSymptom monitoringPatientsHealth statusMEDLINE databaseSystematic reviewQuality carePhysiologic monitoringIntervention typeEvidence baseSimilar effectivenessIntervention costsHispanic population