2024
Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic
Faust J, Renton B, Bongiovanni T, Chen A, Sheares K, Du C, Essien U, Fuentes-Afflick E, Haywood T, Khera R, King T, Li S, Lin Z, Lu Y, Marshall A, Ndumele C, Opara I, Loarte-Rodriguez T, Sawano M, Taparra K, Taylor H, Watson K, Yancy C, Krumholz H. Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic. JAMA Network Open 2024, 7: e2438918. PMID: 39392630, DOI: 10.1001/jamanetworkopen.2024.38918.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyNon-HispanicPublic health emergencyOther Pacific IslanderExcess mortalityAlaska NativesUS populationExcess deathsRates of excess mortalityCross-sectional study analyzed dataYears of potential lifeMortality relative riskNon-Hispanic whitesCross-sectional studyPacific IslandersStudy analyzed dataAll-cause mortalityEthnic groupsMortality disparitiesMortality ratioTotal populationDeath certificatesEthnic disparitiesMain OutcomesDecedent ageHypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
Brush J, Lu Y, Liu Y, Asher J, Li S, Sawano M, Young P, Schulz W, Anderson M, Burrows J, Krumholz H. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records. Journal Of The American Heart Association 2024, 13: e033253. PMID: 38686864, PMCID: PMC11179912, DOI: 10.1161/jaha.123.033253.Peer-Reviewed Original ResearchConceptsElectronic health recordsRegional health systemImprove hypertension careHealth systemHealth recordsHypertension careDiastolic blood pressureAge-adjusted prevalence ratesNon-Hispanic Black patientsPrevalence ratesLarger health systemCross-sectional analysisTransformation of medical dataLeveraging real-world dataHigh prevalence rateHypertension trendsHypertension prevalenceBlood pressureBlood pressure measurementsHypertension diagnosisPrimary outcomeNational trendsProportion of patientsAntihypertensive medicationsBlack patients
2019
Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition
Venkatesh AK, Chou SC, Li SX, Choi J, Ross JS, D’Onofrio G, Krumholz HM, Dharmarajan K. Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition. JAMA Internal Medicine 2019, 179: 686-693. PMID: 30933243, PMCID: PMC6503571, DOI: 10.1001/jamainternmed.2019.0037.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsthmaCritical CareCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansInsurance CoverageInsurance, HealthLung DiseasesMaleMedicaidMedically UninsuredMiddle AgedPatient DischargePatient TransferPneumoniaPulmonary Disease, Chronic ObstructiveUnited StatesConceptsNational Emergency Department SampleEmergency Department SampleCommon medical conditionsUninsured patientsCritical care capabilitiesED dischargeED visitsED transfersPulmonary diseaseCare capabilitiesInsurance statusHigher oddsMedicaid beneficiariesMedical conditionsChronic obstructive pulmonary diseaseAcute pulmonary diseaseEmergency department transfersAdult ED visitsHospital admission ratesObstructive pulmonary diseaseEmergency department dispositionPatient insurance statusPatient case mixHospital ownership statusIntensive care capabilitiesAssociation of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study
Nuti SV, Li SX, Xu X, Ott LS, Lagu T, Desai NR, Murugiah K, Duan M, Martin J, Kim N, Krumholz HM. Association of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study. BMC Health Services Research 2019, 19: 190. PMID: 30909904, PMCID: PMC6432744, DOI: 10.1186/s12913-019-4018-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPost-acute care costsPost-acute care utilizationOverall episode costsPremier Healthcare DatabaseHospital resource utilizationStudy of patientsCross-sectional studyGreater resource utilizationPost-acute periodHigh cost tertilesHigh-cost hospitalsHospital meanResultsAmong patientsReadmission ratesCare utilizationHospitalization costsEpisode costsMedicare feeTertileMedicare beneficiariesMortality rateHealthcare databasesService beneficiaries
2016
Treatment for Multiple Acute Cardiopulmonary Conditions in Older Adults Hospitalized with Pneumonia, Chronic Obstructive Pulmonary Disease, or Heart Failure
Dharmarajan K, Strait KM, Tinetti ME, Lagu T, Lindenauer PK, Lynn J, Krukas MR, Ernst FR, Li SX, Krumholz HM. Treatment for Multiple Acute Cardiopulmonary Conditions in Older Adults Hospitalized with Pneumonia, Chronic Obstructive Pulmonary Disease, or Heart Failure. Journal Of The American Geriatrics Society 2016, 64: 1574-1582. PMID: 27448329, PMCID: PMC4988873, DOI: 10.1111/jgs.14303.Peer-Reviewed Original ResearchMeSH KeywordsAdrenal Cortex HormonesAgedAged, 80 and overAnti-Bacterial AgentsCardiotonic AgentsCohort StudiesComorbidityCross-Sectional StudiesDiureticsDrug Therapy, CombinationFemaleHeart FailureHospitalizationHumansMalePneumoniaPulmonary Disease, Chronic ObstructiveRetrospective StudiesUnited StatesVasodilator AgentsConceptsChronic obstructive pulmonary diseaseAcute cardiopulmonary conditionsObstructive pulmonary diseaseHeart failureCardiopulmonary conditionsOlder adultsPulmonary diseasePremier Research DatabaseEpisodes of pneumoniaRetrospective cohort studyReal-world treatmentHF hospitalizationCohort studyHospital daysPneumonia hospitalizationsCOPD hospitalizationsClinical syndromeAcute conditionsPneumoniaDiagnostic uncertaintyResearch DatabaseHospitalizationDiagnostic categoriesU.S. hospitalsAdults
2014
National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release
Suter LG, Li SX, Grady JN, Lin Z, Wang Y, Bhat KR, Turkmani D, Spivack SB, Lindenauer PK, Merrill AR, Drye EE, Krumholz HM, Bernheim SM. National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release. Journal Of General Internal Medicine 2014, 29: 1333-1340. PMID: 24825244, PMCID: PMC4175654, DOI: 10.1007/s11606-014-2862-5.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHeart failurePneumonia mortalityMyocardial infarctionMedian risk-standardized mortality rateHospital-level mortalityUnplanned readmission ratePrincipal discharge diagnosisHospital performanceRisk-Standardized MortalityHF mortalityReadmission resultsReadmission ratesDischarge diagnosisOutcome measuresAMI mortalityReadmission measuresPneumoniaMortality rateService MedicareHierarchical logistic modelsMortalityMedicaid ServicesReadmissionHospital Variation in the Use of Noninvasive Cardiac Imaging and Its Association With Downstream Testing, Interventions, and Outcomes
Safavi KC, Li SX, Dharmarajan K, Venkatesh AK, Strait KM, Lin H, Lowe TJ, Fazel R, Nallamothu BK, Krumholz HM. Hospital Variation in the Use of Noninvasive Cardiac Imaging and Its Association With Downstream Testing, Interventions, and Outcomes. JAMA Internal Medicine 2014, 174: 546-553. PMID: 24515551, PMCID: PMC5459406, DOI: 10.1001/jamainternmed.2013.14407.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoninvasive cardiac imagingDownstream testingReadmission ratesRevascularization proceduresCardiac imagingHospital variationCardiac ischemiaProportion of patientsNoninvasive imagingLower readmission ratesPrincipal discharge diagnosisCross-sectional studyCardiac biomarker testsQ4 hospitalsChest discomfortCoronary angiographyCoronary diseaseDischarge diagnosisCoronary angiogramEmergency departmentMyocardial infarctionSame hospitalCurrent guidelinesInpatient wardsHospital 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
Spending more, doing more, or both? An alternative method for quantifying utilization during hospitalizations
Lagu T, Krumholz HM, Dharmarajan K, Partovian C, Kim N, Mody PS, Li S, Strait KM, Lindenauer PK. Spending more, doing more, or both? An alternative method for quantifying utilization during hospitalizations. Journal Of Hospital Medicine 2013, 8: 373-379. PMID: 23757115, PMCID: PMC4014449, DOI: 10.1002/jhm.2046.Peer-Reviewed Original ResearchVariation Exists in Rates of Admission to Intensive Care Units for Heart Failure Patients Across Hospitals in the United States
Safavi KC, Dharmarajan K, Kim N, Strait KM, Li SX, Chen SI, Lagu T, Krumholz HM. Variation Exists in Rates of Admission to Intensive Care Units for Heart Failure Patients Across Hospitals in the United States. Circulation 2013, 127: 923-929. PMID: 23355624, PMCID: PMC3688061, DOI: 10.1161/circulationaha.112.001088.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesCross-Sectional StudiesDatabases, FactualFemaleHeart FailureHospital MortalityHospitalsHumansIntensive Care UnitsMalePatient AdmissionUnited StatesConceptsIntensive care unitHeart failureRisk-standardized mortalityICU admissionICU useCare unitPatient outcomesCoronary intensive care unitMedical intensive care unitNoninvasive positive pressure ventilationSurgical intensive care unitTop quartileGreater ICU useOverall heart failureTop quartile hospitalsICU admission ratePercent of patientsPremier Perspective databaseHeart failure patientsPositive pressure ventilationRate of admissionHigh-cost settingsQuality of careHF admissionsICU days
2012
Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure
Partovian C, Gleim SR, Mody PS, Li SX, Wang H, Strait KM, Allen LA, Lagu T, Normand SL, Krumholz HM. Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure. Journal Of The American College Of Cardiology 2012, 60: 1402-1409. PMID: 22981548, PMCID: PMC3636773, DOI: 10.1016/j.jacc.2012.07.011.Peer-Reviewed Original ResearchMeSH KeywordsCardiotonic AgentsCross-Sectional StudiesHeart FailureHospital MortalityHospitalsHumansLength of StayRetrospective StudiesSurvival RateUnited StatesConceptsPositive inotropic agentsRisk-standardized ratesInotropic agentsHeart failureInotrope useHospital patternsMortality rateRisk-standardized mortality ratesHospital mortality rateHeart failure patientsLittle clinical evidenceLength of stayPatient case mixHierarchical logistic regression modelsLogistic regression modelsIntraclass correlation coefficientFailure patientsHospital variationClinical evidenceInterhospital variationClinical guidelinesIndividual hospital effectsHospital ratesHospital effectsPatterns of useProcedure Intensity and the Cost of Care
Chen SI, Dharmarajan K, Kim N, Strait KM, Li SX, Safavi KC, Lindenauer PK, Krumholz HM, Lagu T. Procedure Intensity and the Cost of Care. Circulation Cardiovascular Quality And Outcomes 2012, 5: 308-313. PMID: 22576844, PMCID: PMC3415230, DOI: 10.1161/circoutcomes.112.966069.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCosts and Cost AnalysisCross-Sectional StudiesFemaleHeart FailureHospital Bed CapacityHospital CostsHospital MortalityHospitalizationHospitals, RuralHospitals, TeachingHospitals, UrbanHumansLength of StayLinear ModelsMaleMiddle AgedModels, EconomicOutcome and Process Assessment, Health CareResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsHF hospitalizationHeart failureInvasive proceduresHospital groupRisk-standardized mortality ratesProportion of patientsLength of stayCost of careWilcoxon rank sum testHigher procedure ratesRank sum testPatient demographicsPerspective databaseMedian lengthSurgical proceduresProcedure ratesHospitalizationOutcome differencesMortality rateHospitalPatientsPractice styleProcedure useSum testOverall use