2019
Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction
Khera AV, Chaffin M, Zekavat S, Collins RL, Roselli C, Natarajan P, Lichtman JH, D'Onofrio G, Mattera J, Dreyer R, Spertus JA, Taylor KD, Psaty BM, Rich SS, Post W, Gupta N, Gabriel S, Lander E, Ida Chen Y, Talkowski ME, Rotter JI, Krumholz HM, Kathiresan S. Whole Genome Sequencing to Characterize Monogenic and Polygenic Contributions in Patients Hospitalized with Early-Onset Myocardial Infarction. Circulation 2019, 139: 1593-1602. PMID: 30586733, PMCID: PMC6433484, DOI: 10.1161/circulationaha.118.035658.Peer-Reviewed Original Research
2011
An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction
Krumholz HM, Lin Z, Drye EE, Desai MM, Han LF, Rapp MT, Mattera JA, Normand SL. An Administrative Claims Measure Suitable for Profiling Hospital Performance Based on 30-Day All-Cause Readmission Rates Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2011, 4: 243-252. PMID: 21406673, PMCID: PMC3350811, DOI: 10.1161/circoutcomes.110.957498.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCohort StudiesFemaleHumansInsurance Claim ReviewLogistic ModelsMaleMedicareModels, StatisticalMyocardial InfarctionOutcome and Process Assessment, Health CareOutcome Assessment, Health CarePatient ReadmissionQuality of Health CareReproducibility of ResultsRisk FactorsTime FactorsUnited States
2010
Telemonitoring in Patients with Heart Failure
Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM. Telemonitoring in Patients with Heart Failure. New England Journal Of Medicine 2010, 363: 2301-2309. PMID: 21080835, PMCID: PMC3237394, DOI: 10.1056/nejmoa1010029.Peer-Reviewed Original ResearchConceptsPrimary end pointUsual care groupSecondary end pointsHeart failureEnd pointHeart failure outcomesNumber of hospitalizationsTelephone-based interactive voice response systemUsual careAdverse eventsPatient's clinicianMedian ageCare groupLarge trialsInteractive voice response systemPatientsSmall studyVoice response systemNumber of daysHospitalizationReadmissionTelemonitoringSignificant differencesCliniciansDeathVariation in Recovery
Lichtman JH, Lorenze NP, D'Onofrio G, Spertus JA, Lindau ST, Morgan TM, Herrin J, Bueno H, Mattera JA, Ridker PM, Krumholz HM. Variation in Recovery. Circulation Cardiovascular Quality And Outcomes 2010, 3: 684-693. PMID: 21081748, PMCID: PMC3064946, DOI: 10.1161/circoutcomes.109.928713.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung AMI patientsAMI patientsYoung womenHeart diseaseSex differencesExcess mortality riskIschemic heart diseaseRisk stratification modelPsychosocial risk factorsYears of ageQuality of careComparison cohortPrognostic factorsPrognostic importanceAMI populationMyocardial infarctionRisk factorsObservational studyMortality riskHigh riskAMI eventsPatientsAge accountWomen
2008
An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure
Keenan PS, Normand SL, Lin Z, Drye EE, Bhat KR, Ross JS, Schuur JD, Stauffer BD, Bernheim SM, Epstein AJ, Wang Y, Herrin J, Chen J, Federer JJ, Mattera JA, Wang Y, Krumholz HM. An Administrative Claims Measure Suitable for Profiling Hospital Performance on the Basis of 30-Day All-Cause Readmission Rates Among Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2008, 1: 29-37. PMID: 20031785, DOI: 10.1161/circoutcomes.108.802686.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesCause readmission rateReadmission ratesHeart failureHospital-level readmission ratesAdjusted readmission ratesAdministrative Claims MeasureUnadjusted readmission ratesHeart failure patientsHospital risk-standardized readmission ratesMedical record dataProfiling Hospital PerformanceHierarchical logistic regression modelsUse of MedicareMedical record modelNational Quality ForumLogistic regression modelsCause readmissionClaims-based modelsHospital dischargeFailure patientsC-statisticPreventable eventsPatientsQuality Forum
2007
Telemonitoring 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
2006
Health related quality of life after mitral valve repairs and replacements
Sedrakyan A, Vaccarino V, Elefteriades JA, Mattera JA, Lin Z, Roumanis SA, Krumholz HM. Health related quality of life after mitral valve repairs and replacements. Quality Of Life Research 2006, 15: 1153-1160. PMID: 17004004, DOI: 10.1007/s11136-006-0055-3.Peer-Reviewed Original ResearchConceptsValve repair groupQuality of lifeValve repairRepair groupValve replacementReplacement groupMitral valveSimultaneous coronary artery bypass graft surgeryMedical Outcomes Trust Short FormCoronary artery bypass graft surgeryArtery bypass graft surgeryBypass graft surgeryMitral valve replacementMitral valve surgeryValve replacement groupMean HRQoL scoresHealth survey questionnaireMitral valve repairHealth status perspectiveGraft surgeryValve surgeryHRQoL scoresMultivariable analysisHigher social functioningPhysical functioning
2005
A Randomized Outpatient Trial of a Decision-Support Information Technology Tool
Apkon M, Mattera JA, Lin Z, Herrin J, Bradley EH, Carbone M, Holmboe ES, Gross CP, Selter JG, Rich AS, Krumholz HM. A Randomized Outpatient Trial of a Decision-Support Information Technology Tool. JAMA Internal Medicine 2005, 165: 2388-2394. PMID: 16287768, DOI: 10.1001/archinte.165.20.2388.Peer-Reviewed Original ResearchMeSH KeywordsAdultAmbulatory CareAttitude of Health PersonnelCost-Benefit AnalysisDecision Support Systems, ClinicalFemaleFloridaHealth ResourcesHospitals, MilitaryHumansKentuckyMaleMass ScreeningMultivariate AnalysisOutcome and Process Assessment, Health CarePatient SatisfactionPreventive MedicineQuality of Health CareConceptsProvider satisfactionAmbulatory clinic visitsUsual care patientsDays of enrollmentQuality process measuresQuality of careProportion of opportunitiesUsual careClinic visitsOutpatient trialSecondary outcomesPrimary outcomeAcute carePatient satisfactionIntervention groupHealth care opportunitiesPatientsClinical decisionCare opportunitiesPharmacy resourcesPreventive measuresProcess measuresCareMedical resourcesModest improvementKnowledge of blood pressure levels and targets in patients with coronary artery disease in the USA
Cheng S, Lichtman JH, Amatruda JM, Smith GL, Mattera JA, Roumanis SA, Krumholz HM. Knowledge of blood pressure levels and targets in patients with coronary artery disease in the USA. Journal Of Human Hypertension 2005, 19: 769-774. PMID: 16049521, DOI: 10.1038/sj.jhh.1001895.Peer-Reviewed Original ResearchConceptsBlood pressure levelsCoronary artery diseaseDiastolic blood pressure levelsArtery diseaseImportant modifiable risk factorTarget blood pressure levelsBlood pressure targetsHistory of hypertensionLow-risk patientsModifiable risk factorsCertain patient subgroupsHigh-risk groupBlood pressure knowledgePressure levelsClinical characteristicsPressure targetsRisk patientsPatient subgroupsPatient awarenessRisk factorsRisk groupsCardiac diseasePatientsDiseaseHypertensionQuality Improvement Efforts and Hospital Performance
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Quality Improvement Efforts and Hospital Performance. Medical Care 2005, 43: 282-292. PMID: 15725985, DOI: 10.1097/00005650-200503000-00011.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAged, 80 and overCross-Sectional StudiesDrug Utilization ReviewFemaleHospitalsHumansLeadershipMaleMedical Staff, HospitalMiddle AgedMyocardial InfarctionOrganizational CultureOutcome Assessment, Health CarePractice Patterns, Physicians'Quality Indicators, Health CareRegistriesTotal Quality ManagementUnited StatesConceptsAcute myocardial infarctionBeta-blocker prescription ratesQuality improvement effortsMyocardial infarctionBeta-blocker useHospital teaching statusCross-sectional studyQuality improvement interventionsPatient-level dataPhysician leadershipQuality of careHospital performanceHospital quality improvement effortsImprovement effortsQuality improvement strategiesPrescription ratesBorderline significanceNational registryAMI volumeUS hospitalsImprovement interventionsHospitalTeaching statusEvidence baseHigh/mediumPatients With Depressive Symptoms Have Lower Health Status Benefits After Coronary Artery Bypass Surgery
Mallik S, Krumholz HM, Lin ZQ, Kasl SV, Mattera JA, Roumains SA, Vaccarino V. Patients With Depressive Symptoms Have Lower Health Status Benefits After Coronary Artery Bypass Surgery. Circulation 2005, 111: 271-277. PMID: 15655132, DOI: 10.1161/01.cir.0000152102.29293.d7.Peer-Reviewed Original ResearchConceptsPhysical component scalePhysical functionGeriatric Depression ScaleGDS scoresDepressive symptomsPCS scoresRisk factorsFunctional improvementShort-Form 36 physical component scaleCoronary artery bypass surgeryHealth status benefitsInverse risk factorTime of CABGPatients' physical functionArtery bypass surgeryHistory of diabetesVentricular ejection fractionWorse physical functionCoronary artery diseaseIndependent prognostic factorPrevious myocardial infarctionStrong risk factorBaseline PCS scoresHigher GDS scoresSignificant independent predictorsKnowledge of Cholesterol Levels and Targets in Patients With Coronary Artery Disease
Cheng S, Lichtman JH, Amatruda JM, Smith GL, Mattera JA, Roumanis SA, Krumholz HM. Knowledge of Cholesterol Levels and Targets in Patients With Coronary Artery Disease. Preventive Cardiology 2005, 8: 11-17. PMID: 15722689, DOI: 10.1111/j.1520-037x.2005.3939.x.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseHigh-density lipoproteinLow-density lipoproteinCholesterol targetsArtery diseaseCholesterol levelsMultiple cardiac risk factorsCardiac risk factorsTotal cholesterol levelsTotal cholesterol valuesRisk factorsCardiovascular diseaseCholesterol valuesPrevious historyPatientsLipoproteinDiseaseCollege educationWomenNonwhitesEducation effortsNational targetsTargetCholesterol
2004
Quality of life after aortic valve replacement with tissue and mechanical implants
Sedrakyan A, Hebert P, Vaccarino V, Paltiel AD, Elefteriades JA, Mattera J, Lin Z, Roumanis SA, Krumholz HM. Quality of life after aortic valve replacement with tissue and mechanical implants. Journal Of Thoracic And Cardiovascular Surgery 2004, 128: 266-272. PMID: 15282464, DOI: 10.1016/j.jtcvs.2003.12.014.Peer-Reviewed Original ResearchConceptsAortic valve replacementQuality of lifeMechanical valve implantsMechanical valve recipientsValve replacementValve recipientsLife scoresValve implantsTissue valvesMechanical valvesMedical Outcomes Trust Short FormPopulation normsYale-New Haven HospitalMechanical valve replacementRate of complicationsUS population normsTissue valve replacementPrognostic factorsRole limitationsOnly significant differenceHealth SurveyAnalysis of covarianceBaseline qualityMean qualityPatientsHospital-Level Performance Improvement
Bradley EH, Herrin J, Mattera JA, Holmboe ES, Wang Y, Frederick P, Roumanis SA, Radford MJ, Krumholz HM. Hospital-Level Performance Improvement. Medical Care 2004, 42: 591-599. PMID: 15167327, DOI: 10.1097/01.mlr.0000128006.27364.a9.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAmerican Hospital AssociationCardiology Service, HospitalComorbidityDrug Utilization ReviewFemaleGeographyGuideline AdherenceHealth Care SurveysHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionPatient DischargeQuality Assurance, Health CareRegistriesSocioeconomic FactorsUnited StatesConceptsBeta-blocker useAcute myocardial infarctionHospital-level variationHospital characteristicsMyocardial infarctionBeta-blocker prescription ratesHospital-level changesHospital-level ratesAmerican Hospital Association Annual SurveyClinical characteristicsPrescription ratesNational registryAMI volumeHospital ratesRate of improvementImprovement rateTeaching statusIndividual hospitalsInfarctionHospitalNational surveyPercentage pointsTime periodUse ratesWeak predictorClinical trial of an educational intervention to achieve recommended cholesterol levels in patients with coronary artery disease
Lichtman JH, Amatruda J, Yaari S, Cheng S, Smith GL, Mattera JA, Roumanis SA, Wang Y, Radford MJ, Krumholz HM. Clinical trial of an educational intervention to achieve recommended cholesterol levels in patients with coronary artery disease. American Heart Journal 2004, 147: 522-528. PMID: 14999204, DOI: 10.1016/j.ahj.2003.06.003.Peer-Reviewed Original ResearchConceptsLDL cholesterol target levelsCholesterol target levelsProportion of patientsCoronary artery diseaseUsual care groupArtery diseaseLevels 1 yearCholesterol managementCare groupEducational interventionPatient knowledgeLow-density lipoprotein cholesterol (LDL-C) target levelsTarget levelCholesterol knowledgeUsual careClinical characteristicsSecondary outcomesPrimary outcomeCholesterol levelsClinical trialsIntervention groupPatientsHospitalizationDiseaseInterventionSocial Support as a Predictor of Participation in Cardiac Rehabilitation After Coronary Artery Bypass Graft Surgery
Husak L, Krumholz HM, Lin ZQ, Kasl SV, Mattera JA, Roumanis SA, Vaccarino V. Social Support as a Predictor of Participation in Cardiac Rehabilitation After Coronary Artery Bypass Graft Surgery. Journal Of Cardiopulmonary Rehabilitation And Prevention 2004, 24: 19-26. PMID: 14758099, DOI: 10.1097/00008483-200401000-00005.Peer-Reviewed Original ResearchMeSH KeywordsAgedConnecticutCoronary Artery BypassCoronary DiseaseFemaleFollow-Up StudiesHumansMaleMarital StatusMiddle AgedMultivariate AnalysisPredictive Value of TestsPrevalenceQuality of LifeReferral and ConsultationRisk FactorsSickness Impact ProfileSocial SupportStroke VolumeSurvival AnalysisTreatment OutcomeConceptsCoronary artery bypass graftCardiovascular disease risk factorsDisease risk factorsCardiac rehabilitationRisk factorsCoronary artery bypass graft surgeryArtery bypass graft surgerySocial supportBypass graft surgeryArtery bypass graftBetter physical functionCardiac rehabilitation participationQuality of lifeLow social supportMain predictive variableComorbidity burdenHospital complicationsGraft surgerySocial Support InventoryIndependent predictorsBypass graftPhysical functionPredictors of participationUnadjusted analysesMedical history
2003
Sex Differences in Health Status After Coronary Artery Bypass Surgery
Vaccarino V, Lin ZQ, Kasl SV, Mattera JA, Roumanis SA, Abramson JL, Krumholz HM. Sex Differences in Health Status After Coronary Artery Bypass Surgery. Circulation 2003, 108: 2642-2647. PMID: 14597590, DOI: 10.1161/01.cir.0000097117.28614.d8.Peer-Reviewed Original ResearchConceptsPhysical functionMental healthReadmission ratesFunctional gainsCoronary artery bypass graft surgeryArtery bypass graft surgeryCoronary artery bypass surgeryLower functional gainsBypass graft surgeryArtery bypass surgeryHigher readmission ratesMan 6 monthsMean score improvementFirst CABGCABG surgeryGraft surgeryBaseline characteristicsBypass surgeryHospital readmissionMultivariable analysisAdverse outcomesFunctional statusFunctional improvementHealth SurveyHealth statusAge does not limit quality of life improvement in cardiac valve surgery
Sedrakyan A, Vaccarino V, Paltiel AD, Elefteriades JA, Mattera JA, Roumanis SA, Lin Z, Krumholz HM. Age does not limit quality of life improvement in cardiac valve surgery. Journal Of The American College Of Cardiology 2003, 42: 1208-1214. PMID: 14522482, DOI: 10.1016/s0735-1097(03)00949-5.Peer-Reviewed Original ResearchConceptsMental component summaryQuality of lifeCardiac valve surgeryPhysical component summaryValve surgeryAssociation of ageValve proceduresComponent summarySF-36PCS scoresMedical Outcomes Trust Short FormPatients' QOLMitral valve proceduresAortic valve proceduresOlder patientsAortic patientsMCS scoresMitral patientsQOL benefitsHealth SurveyPatientsSurgeryStatistical significanceAgeMultiple regression analysisGender differences in recovery after coronary artery bypass surgery
Vaccarino V, Lin ZQ, Kasl SV, Mattera JA, Roumanis SA, Abramson JL, Krumholz HM. Gender differences in recovery after coronary artery bypass surgery. Journal Of The American College Of Cardiology 2003, 41: 307-314. PMID: 12535827, DOI: 10.1016/s0735-1097(02)02698-0.Peer-Reviewed Original ResearchConceptsPhysical functionCABG surgeryDepressive symptomsHospital readmissionCoronary artery bypass graft surgeryArtery bypass graft surgeryCoronary artery bypass surgeryBypass graft surgeryArtery bypass surgeryCongestive heart failureLow physical functionMore depressive symptomsFirst CABGGraft surgeryBaseline characteristicsBypass surgeryPatient characteristicsHeart failureIllness severityMedical recordsWorse outcomesClinical dataFemale genderHigh riskSide effects
2002
Randomized trial of an education and support intervention to preventreadmission of patients with heart failure
Krumholz HM, Amatruda J, Smith GL, Mattera JA, Roumanis SA, Radford MJ, Crombie P, Vaccarino V. Randomized trial of an education and support intervention to preventreadmission of patients with heart failure. Journal Of The American College Of Cardiology 2002, 39: 83-89. PMID: 11755291, DOI: 10.1016/s0735-1097(01)01699-0.Peer-Reviewed Original ResearchConceptsHeart failureSupport interventionsIntervention groupControl groupHospital readmission costsOne-year readmissionRate of readmissionAdverse clinical outcomesCost of careDisease management programsReadmission costsClinical outcomesHospital costsReadmissionLower riskPatientsOne-yearDemographic characteristicsInterventionTrialsGroupFormal educationTotal numberMedical componentsFailure