2023
Opportunities and Achievement of Medication Initiation Among Inpatients With Heart Failure With Reduced Ejection Fraction
Swat S, Xu H, Allen L, Greene S, DeVore A, Matsouaka R, Goyal P, Peterson P, Hernandez A, Krumholz H, Yancy C, Fonarow G, Hess P, Program A. Opportunities and Achievement of Medication Initiation Among Inpatients With Heart Failure With Reduced Ejection Fraction. JACC Heart Failure 2023, 11: 918-929. PMID: 37318420, DOI: 10.1016/j.jchf.2023.04.015.Peer-Reviewed Original ResearchConceptsEvidence-based medicationsMedication initiationReduced ejection fractionNumber of medicationsMultivariable logistic regressionNumber of patientsPre-existing conditionsReduced ejectionEjection fractionHeart failureMultivariable analysisFemale sexLower oddsMedicationsMean net gainPatientsRural hospitalsAdmissionOlder ageLogistic regressionStudy periodMean numberOddsInitiationRural locations
2020
Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original Research
2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare WellTRADITIONAL CHINESE MEDICINE FOR HEART FAILURE ADMISSIONS IN WESTERN MEDICINE HOSPITALS IN CHINA: ANALYSIS FROM THE CHINA PEACE RETROSPECTIVE HEART FAILURE STUDY
Yu Y, Spatz E, Krumholz H, Li J. TRADITIONAL CHINESE MEDICINE FOR HEART FAILURE ADMISSIONS IN WESTERN MEDICINE HOSPITALS IN CHINA: ANALYSIS FROM THE CHINA PEACE RETROSPECTIVE HEART FAILURE STUDY. Journal Of The American College Of Cardiology 2019, 73: 796. DOI: 10.1016/s0735-1097(19)31403-2.Peer-Reviewed Original Research
2018
Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Altaf F, Herrin J, Lin Z, Krumholz HM, Drye EE, Lipska KJ, Spatz ES. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates. American Heart Journal 2018, 207: 19-26. PMID: 30404047, DOI: 10.1016/j.ahj.2018.09.006.Peer-Reviewed Original ResearchMeSH KeywordsAccountable Care OrganizationsAgedAlgorithmsAnalysis of VarianceCardiovascular DiseasesComorbidityFemaleHeart FailureHospitalizationHumansInternational Classification of DiseasesMaleMedicare Part AMedicare Part BPatient AdmissionPatient DischargePatient-Centered CareSex DistributionTime FactorsUnited StatesConceptsHeart failureAccountable care organizationsMean admission rateAdmission ratesAdmission typeAcute admission ratesNoncardiovascular conditionsAdmission diagnosisCause admission ratesMedicare Shared Savings Program Accountable Care OrganizationsRate of hospitalizationPrincipal discharge diagnosisProportion of admissionsType of admissionNoncardiovascular causesHF admissionsHF patientsPerson yearsDischarge diagnosisPatient populationPatientsAdmissionKey quality metricDiagnosisSubstantial proportionDefining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiaries
2017
Admission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study
Zhao S, Murugiah K, Li N, Li X, Xu ZH, Li J, Cheng C, Mao H, Downing NS, Krumholz HM, Jiang LX. Admission Glucose and In-hospital Mortality after Acute Myocardial Infarction in Patients with or without Diabetes: A Cross-sectional Study. Chinese Medical Journal 2017, 130: 767-775. PMID: 28345539, PMCID: PMC5381309, DOI: 10.4103/0366-6999.202733.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAbsence of diabetesAdverse clinical eventsAdmission glucoseNondiabetic patientsClinical eventsPrognostic valueBlood glucoseMyocardial infarctionRepresentative sampleGlucose levelsPatientsAdmissionMortalityGlucosePrior studiesHyperglycemiaInfarctionDiabetesMixed resultsStatistical power
2015
Hospital variation in admission to intensive care units for patients with acute myocardial infarction
Chen R, Strait KM, Dharmarajan K, Li SX, Ranasinghe I, Martin J, Fazel R, Masoudi FA, Cooke CR, Nallamothu BK, Krumholz HM. Hospital variation in admission to intensive care units for patients with acute myocardial infarction. American Heart Journal 2015, 170: 1161-1169. PMID: 26678638, PMCID: PMC5459386, DOI: 10.1016/j.ahj.2015.09.003.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnterior Wall Myocardial InfarctionCoronary Care UnitsHealth Care RationingHospital MortalityHumansLength of StayMaleMiddle AgedOutcome and Process Assessment, Health CarePatient AdmissionQuality ImprovementRetrospective StudiesRisk AssessmentTriageUnited StatesConceptsAcute myocardial infarctionIntensive care unitCritical care therapiesRisk-standardized mortality ratesHospital risk-standardized mortality ratesICU admissionResource-intensive settingsCare therapyAMI patientsCare unitMyocardial infarctionMortality rateAdult hospitalizationsHospital variationNinth RevisionClinical ModificationICU triageInternational ClassificationBetter outcomesPatientsHospitalAdmissionPremier databaseTherapyAppropriate use
2014
Hospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variations
2013
Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure
Kulkarni VT, Ross JS, Wang Y, Nallamothu BK, Spertus JA, Normand SL, Masoudi FA, Krumholz HM. Regional Density of Cardiologists and Rates of Mortality for Acute Myocardial Infarction and Heart Failure. Circulation Cardiovascular Quality And Outcomes 2013, 6: 352-359. PMID: 23680965, PMCID: PMC5323047, DOI: 10.1161/circoutcomes.113.000214.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCardiologyCohort StudiesFemaleHealth Services AccessibilityHealth Services Needs and DemandHealthcare DisparitiesHeart FailureHospitalizationHumansLinear ModelsLogistic ModelsMaleMedicareMyocardial InfarctionOdds RatioPhysiciansPneumoniaPrognosisResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsUnited StatesWorkforceConceptsAcute myocardial infarctionHeart failureHospital referral regionsMortality riskLowest quintileMyocardial infarctionReferral regionsMedicare administrative claims dataCharacteristics of patientsRisk of deathAdministrative claims dataHierarchical logistic regression modelsLogistic regression modelsRate of mortalityRegional densityHighest quintileNumber of cardiologistsWorse outcomesClaims dataPatientsPneumoniaCardiologistsHospitalizationAdmissionQuintile
2012
WIDE VARIATION EXISTS IN RATES OF ADMISSION TO INTENSIVE CARE UNITS FOR HEART FAILURE PATIENTS ACROSS US HOSPITALS
Safavi K, Dharmarajan K, Kim N, Strait K, Li S, Chen S, Lagu T, Partovian C, Krumholz H. WIDE VARIATION EXISTS IN RATES OF ADMISSION TO INTENSIVE CARE UNITS FOR HEART FAILURE PATIENTS ACROSS US HOSPITALS. Journal Of The American College Of Cardiology 2012, 59: e1856. DOI: 10.1016/s0735-1097(12)61857-9.Peer-Reviewed Original ResearchComparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling.
Drye EE, Normand SL, Wang Y, Ross JS, Schreiner GC, Han L, Rapp M, Krumholz HM. Comparison of hospital risk-standardized mortality rates calculated by using in-hospital and 30-day models: an observational study with implications for hospital profiling. Annals Of Internal Medicine 2012, 156: 19-26. PMID: 22213491, PMCID: PMC3319769, DOI: 10.7326/0003-4819-156-1-201201030-00004.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHospital risk-standardized mortality ratesHospital mortality measuresHeart failureMortality rateObservational studyNonfederal acute care hospitalsMortality measuresAcute care hospitalsMean LOSPrimary outcomeStandardized followCare hospitalBlood InstituteService patientsMyocardial infarctionNational HeartPatient LOSMedicare feePneumoniaHospitalAdmissionHospital qualityHospital profiling
2010
The relationship between systolic blood pressure on admission and mortality in older patients with heart failure
Vidán MT, Bueno H, Wang Y, Schreiner G, Ross JS, Chen J, Krumholz HM. The relationship between systolic blood pressure on admission and mortality in older patients with heart failure. European Journal Of Heart Failure 2010, 12: 148-155. PMID: 20083624, PMCID: PMC2807767, DOI: 10.1093/eurjhf/hfp195.Peer-Reviewed Original ResearchConceptsAdmission systolic blood pressureSystolic blood pressureHeart failureBlood pressureOlder patientsNational Heart Failure ProjectHigher systolic blood pressureInitial systolic blood pressureHeart Failure ProjectMultivariable logistic regressionPrevious hypertensionSBP 90Ventricular dysfunctionClinical factorsIndependent associationOdds ratioMedicare patientsMortality ratePatientsMmHgLogistic regressionMortalityAdmissionSubgroupsInverse relationship
2009
Glucose Normalization and Outcomes in Patients With Acute Myocardial Infarction
Kosiborod M, Inzucchi SE, Krumholz HM, Masoudi FA, Goyal A, Xiao L, Jones PG, Fiske S, Spertus JA. Glucose Normalization and Outcomes in Patients With Acute Myocardial Infarction. JAMA Internal Medicine 2009, 169: 438-446. PMID: 19273773, DOI: 10.1001/archinternmed.2008.593.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionInsulin therapyMyocardial infarctionGlucose levelsGlucose normalizationBetter survivalElevated blood glucose levelsMultivariable logistic regression modelPropensity-matched analysisMean glucose levelBlood glucose levelsPropensity-matching methodsLow glucose levelsLogistic regression modelsHospital mortalityMultivariable adjustmentImproved survivalHyperglycemic patientsSpontaneous resolutionPatientsMortality rateUS hospitalsAdmissionInfarctionTherapy
2007
Acute Noncardiac Conditions and In-Hospital Mortality in Patients With Acute Myocardial Infarction
Lichtman JH, Spertus JA, Reid KJ, Radford MJ, Rumsfeld JS, Allen NB, Masoudi FA, Weintraub WS, Krumholz HM. Acute Noncardiac Conditions and In-Hospital Mortality in Patients With Acute Myocardial Infarction. Circulation 2007, 116: 1925-1930. PMID: 17923572, DOI: 10.1161/circulationaha.107.722090.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoncardiac conditionsHospital mortalityMyocardial infarctionConcomitant conditionsCommon concomitant conditionsHours of admissionIn-Hospital MortalityMedical record reviewTime of admissionEvidence-based therapiesClinical characteristicsHospital admissionMultivariable analysisRecord reviewSevere pneumoniaPrognostic importanceUS CentersInfarctionDisease severityPatientsAdmissionMortalityStudy sampleMarked increase“America's Best Hospitals” in the Treatment of Acute Myocardial Infarction
Wang OJ, Wang Y, Lichtman JH, Bradley EH, Normand SL, Krumholz HM. “America's Best Hospitals” in the Treatment of Acute Myocardial Infarction. JAMA Internal Medicine 2007, 167: 1345-1351. PMID: 17620526, DOI: 10.1001/archinte.167.13.1345.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionStandardized mortality ratioBest HospitalsMyocardial infarctionAmerica's Best HospitalsTreatment of AMIMedicare administrative dataHeart surgeryMortality ratioLower riskMortality rateHospitalQuartile distributionPatientsRSMRInfarctionAdministrative dataOne-thirdHierarchical regression modelsRSMRsRegression modelsTreatmentSurgeryAdmissionQuartileFailure to Rescue
Horwitz LI, Cuny JF, Cerese J, Krumholz HM. Failure to Rescue. Medical Care 2007, 45: 283-287. PMID: 17496710, DOI: 10.1097/01.mlr.0000250226.33094.d4.Peer-Reviewed Original ResearchConceptsChart reviewQuality Patient Safety IndicatorsRetrospective chart reviewPatient safety indicatorsRate of deathAdministrative dataHospital complicationsComplication typePatient agePatient characteristicsPrimary outcomeNonsurgical casesInsurance statusComplicationsHealthcare ResearchPatientsMortalityConsortium institutionsAgeSafety indicatorsFailureReviewHospitalizationAdmissionCases
2006
Delay in the Diagnosis of Acute Myocardial Infarction: Effect on Quality of Care and Its Assessment
Graff LG, Wang Y, Borkowski B, Tuozzo K, Foody JM, Krumholz HM, Radford MJ. Delay in the Diagnosis of Acute Myocardial Infarction: Effect on Quality of Care and Its Assessment. Academic Emergency Medicine 2006, 13: 931-938. PMID: 16894002, DOI: 10.1197/j.aem.2006.04.016.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAge DistributionAgedAged, 80 and overAngina, UnstableAspirinCohort StudiesConnecticutEvidence-Based MedicineFemaleFibrinolytic AgentsHumansMaleMyocardial InfarctionPatient AdmissionQuality Assurance, Health CareQuality of Health CareRetrospective StudiesTime FactorsConceptsAcute myocardial infarctionAdmission diagnosisBeta blockersQuality of careMyocardial infarctionDiagnosis of AMICharacteristics of patientsPercutaneous coronary interventionPrincipal discharge diagnosisEvidence-based therapiesRate of administrationCoronary interventionCardiac catheterizationDischarge diagnosisPrincipal diagnosisFrequency of delaysDischarge statusPatient careAdmissionAMI diagnosisPatientsDiagnosisMedicare casesCareInfarction
2005
Physician specialty and mortality among elderly patients hospitalized with heart failure
Foody JM, Rathore SS, Wang Y, Herrin J, Masoudi FA, Havranek EP, Krumholz HM. Physician specialty and mortality among elderly patients hospitalized with heart failure. The American Journal Of Medicine 2005, 118: 1120-1125. PMID: 16194643, DOI: 10.1016/j.amjmed.2005.01.075.Peer-Reviewed Original ResearchConceptsHeart failureFamily physiciansGeneral physiciansSpecialty careDay of admissionCause mortalityCardiology consultationElderly patientsPrimary outcomePhysician specialtyMedicare beneficiariesMortality ratePatientsCardiologistsPhysiciansMortalityInternistsCareOutcomesConsultationFailureDaysSpecialtiesAdmission
2002
The Burden of Chronic Congestive Heart Failure in Older Persons: Magnitude and Implications for Policy and Research
Masoudi FA, Havranek EP, Krumholz HM. The Burden of Chronic Congestive Heart Failure in Older Persons: Magnitude and Implications for Policy and Research. Heart Failure Reviews 2002, 7: 9-16. PMID: 11790919, DOI: 10.1023/a:1013793621248.Peer-Reviewed Original ResearchConceptsHeart failureOlder populationChronic congestive heart failureOlder personsPoor long-term survivalMore hospital admissionsCongestive heart failureLong-term survivalHospital admissionHigh riskFailureSingle conditionPopulationPersonsHospitalizationAdmissionDearth of researchYearsDiagnosisMonths