2021
Association of COVID-19 Hospitalization Volume and Case Growth at US Hospitals with Patient Outcomes
Khera R, Liu Y, de Lemos JA, Das SR, Pandey A, Omar W, Kumbhani DJ, Girotra S, Yeh RW, Rutan C, Walchok J, Lin Z, Bradley SM, Velazquez EJ, Churchwell KB, Nallamothu BK, Krumholz HM, Curtis JP. Association of COVID-19 Hospitalization Volume and Case Growth at US Hospitals with Patient Outcomes. The American Journal Of Medicine 2021, 134: 1380-1388.e3. PMID: 34343515, PMCID: PMC8325555, DOI: 10.1016/j.amjmed.2021.06.034.Peer-Reviewed Original ResearchConceptsCOVID-19 hospitalizationHospitalization volumeAmerican Heart Association COVID-19 Cardiovascular Disease RegistryCase volumeUS hospitalsCoronavirus disease 2019 (COVID-19) hospitalizationIntensive care unit therapyHospital case fatality ratePoor COVID-19 outcomesCardiovascular Disease RegistryHospital case volumeCase fatality rateCOVID-19 outcomesHospital bed capacityLowest quartilePatient outcomesHospital careHigher oddsTriage strategiesFuture health challengesDisease RegistryMedical treatmentEarly identificationHospitalSignificant association
2020
Quality of informed consent documents among US. hospitals: a cross-sectional study
Spatz ES, Bao H, Herrin J, Desai V, Ramanan S, Lines L, Dendy R, Bernheim SM, Krumholz HM, Lin Z, Suter LG. Quality of informed consent documents among US. hospitals: a cross-sectional study. BMJ Open 2020, 10: e033299. PMID: 32434934, PMCID: PMC7247389, DOI: 10.1136/bmjopen-2019-033299.Peer-Reviewed Original ResearchConceptsInformed consent documentsHOSPITAL scoreUS hospitalsMean hospital scoresRetrospective observational studyConsent documentsCross-sectional studyEight-item instrumentService patientsElective proceduresProcedure typeObservational studySurgical proceduresMedicare feeHospitalHospital qualityMeasure scoresInformed consentMost hospitalsSpearman correlationScoresFace validityIndependent ratersOutcomesStakeholder feedback
2019
Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention
Huang C, Li SX, Mahajan S, Testani JM, Wilson FP, Mena CI, Masoudi FA, Rumsfeld JS, Spertus JA, Mortazavi BJ, Krumholz HM. Development and Validation of a Model for Predicting the Risk of Acute Kidney Injury Associated With Contrast Volume Levels During Percutaneous Coronary Intervention. JAMA Network Open 2019, 2: e1916021. PMID: 31755952, PMCID: PMC6902830, DOI: 10.1001/jamanetworkopen.2019.16021.Peer-Reviewed Original ResearchConceptsCreatinine level increaseAcute kidney injuryPercutaneous coronary interventionContrast volumeAKI riskKidney injuryCoronary interventionBaseline riskCardiology National Cardiovascular Data Registry's CathPCI RegistryNational Cardiovascular Data Registry CathPCI RegistryRisk of AKIAcute Kidney Injury AssociatedDifferent baseline risksPCI safetyCathPCI RegistryInjury AssociatedMean ageDerivation setPreprocedural riskMAIN OUTCOMEAmerican CollegePrognostic studiesUS hospitalsCalibration slopeValidation set
2018
Assessment of US Hospital Compliance With Regulations for Patients’ Requests for Medical Records
Lye CT, Forman HP, Gao R, Daniel JG, Hsiao AL, Mann MK, deBronkart D, Campos HO, Krumholz HM. Assessment of US Hospital Compliance With Regulations for Patients’ Requests for Medical Records. JAMA Network Open 2018, 1: e183014. PMID: 30646219, PMCID: PMC6324595, DOI: 10.1001/jamanetworkopen.2018.3014.Peer-Reviewed Original ResearchSex Differences in the Presentation and Perception of Symptoms Among Young Patients With Myocardial Infarction
Lichtman JH, Leifheit EC, Safdar B, Bao H, Krumholz HM, Lorenze NP, Daneshvar M, Spertus JA, D'Onofrio G. Sex Differences in the Presentation and Perception of Symptoms Among Young Patients With Myocardial Infarction. Circulation 2018, 137: 781-790. PMID: 29459463, PMCID: PMC5822747, DOI: 10.1161/circulationaha.117.031650.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPerception of symptomsChest painCare-seeking behaviorSymptom presentationYounger patientsMyocardial infarctionST-segment elevation acute myocardial infarctionMultivariable hierarchical logistic regressionIndex AMI hospitalizationMajority of womenHierarchical logistic regressionStress/anxietyVIRGO StudyMuscle painPatient characteristicsPredominant symptomAMI symptomsPerceive symptomsProdromal symptomsPatient interviewsHeart diseasePainAMI hospitalizationUS hospitals
2015
Wide Variation Found In Hospital Facility Costs For Maternity Stays Involving Low-Risk Childbirth
Xu X, Gariepy A, Lundsberg LS, Sheth SS, Pettker CM, Krumholz HM, Illuzzi JL. Wide Variation Found In Hospital Facility Costs For Maternity Stays Involving Low-Risk Childbirth. Health Affairs 2015, 34: 1212-1219. PMID: 26153317, DOI: 10.1377/hlthaff.2014.1088.Peer-Reviewed Original ResearchConceptsCesarean deliveryHospital costsMaternity staysSerious maternal morbidityNationwide Inpatient SampleCoordination of careValue of careMaternal morbidityHospital admissionInpatient SampleDelivery system reformRural hospitalsUS hospitalsHospital practiceSafe reductionHospitalChildbirthStayLong stayHigh rateCareLower proportionUnited StatesFacility costsVariation in US Hospital Emergency Department Admission Rates by Clinical Condition
Venkatesh AK, Dai Y, Ross JS, Schuur JD, Capp R, Krumholz HM. Variation in US Hospital Emergency Department Admission Rates by Clinical Condition. Medical Care 2015, 53: 237-244. PMID: 25397965, PMCID: PMC4858175, DOI: 10.1097/mlr.0000000000000261.Peer-Reviewed Original ResearchConceptsEmergency Department Admission RatesED admission ratesAdmission ratesClinical conditionsMood disordersChronic obstructive pulmonary diseaseNational Emergency Department SampleAdult ED visitsNonspecific chest painObstructive pulmonary diseaseSoft tissue infectionsUrinary tract infectionEmergency Department SampleClinical Classification SoftwareCross-sectional analysisChest painED visitsTract infectionsPulmonary diseaseSpearman correlation coefficientTissue infectionsHospitalization ratesUS hospitalsCondition-specific variationsHospital correlation
2014
Hospital 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
Comparison of Clinical Interpretation With Visual Assessment and Quantitative Coronary Angiography in Patients Undergoing Percutaneous Coronary Intervention in Contemporary Practice
Nallamothu BK, Spertus JA, Lansky AJ, Cohen DJ, Jones PG, Kureshi F, Dehmer GJ, Drozda JP, Walsh MN, Brush JE, Koenig GC, Waites TF, Gantt DS, Kichura G, Chazal RA, O’Brien P, Valentine CM, Rumsfeld JS, Reiber JH, Elmore JG, Krumholz RA, Weaver WD, Krumholz HM. Comparison of Clinical Interpretation With Visual Assessment and Quantitative Coronary Angiography in Patients Undergoing Percutaneous Coronary Intervention in Contemporary Practice. Circulation 2013, 127: 1793-1800. PMID: 23470859, PMCID: PMC3908681, DOI: 10.1161/circulationaha.113.001952.Peer-Reviewed Original ResearchConceptsQuantitative coronary angiographyPercent diameter stenosisPercutaneous coronary interventionDiameter stenosisCoronary interventionCoronary angiographyCoronary lesionsClinical interpretationAngiographic interpretationStenosis severityHigher percent diameter stenosisMedian percent diameter stenosisElective percutaneous coronary interventionMean differenceCoronary stenosis severityIntermediate lesionsUS hospitalsStenosisLesionsAngiographyPatientsInterventionSeverityVisual assessmentSuch findings
2012
Duration of resuscitation efforts and survival after in-hospital cardiac arrest: an observational study
Goldberger ZD, Chan PS, Berg RA, Kronick SL, Cooke CR, Lu M, Banerjee M, Hayward RA, Krumholz HM, Nallamothu BK, Investigators F. Duration of resuscitation efforts and survival after in-hospital cardiac arrest: an observational study. The Lancet 2012, 380: 1473-1481. PMID: 22958912, PMCID: PMC3535188, DOI: 10.1016/s0140-6736(12)60862-9.Peer-Reviewed Original ResearchConceptsHospital cardiac arrestSpontaneous circulationCardiac arrestResuscitation attemptsMedian durationResuscitation effortsGuidelines-Resuscitation registryDuration of resuscitationRisk-adjusted survivalHigh-risk populationAmerican Heart AssociationPrimary endpointHospital dischargeHeart AssociationObservational studyPatientsUS hospitalsClinical Scholars ProgramSurvival rateHospitalResuscitationHigher survival rateSurvivalNational InstituteHigher likelihoodCorrelations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals
Horwitz LI, Wang Y, Desai MM, Curry LA, Bradley EH, Drye EE, Krumholz HM. Correlations among risk‐standardized mortality rates and among risk‐standardized readmission rates within hospitals. Journal Of Hospital Medicine 2012, 7: 690-696. PMID: 22865546, PMCID: PMC3535010, DOI: 10.1002/jhm.1965.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesReadmission ratesRisk-standardized mortalityHeart failureMortality rateReadmission measuresUS hospitalsMortality measuresCross-sectional studyMortality cohortReadmission cohortHospital outcomesSame hospitalMyocardial infarctionMedicare patientsMedicare feeService beneficiariesTeaching hospital membersHospitalSame quartileHospital membersPneumoniaCohortWIDE 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 Research
2010
Automated External Defibrillators and Survival After In-Hospital Cardiac Arrest
Chan PS, Krumholz HM, Spertus JA, Jones PG, Cram P, Berg RA, Peberdy MA, Nadkarni V, Mancini ME, Nallamothu BK, Investigators F. Automated External Defibrillators and Survival After In-Hospital Cardiac Arrest. JAMA 2010, 304: 2129-2136. PMID: 21078809, PMCID: PMC3587791, DOI: 10.1001/jama.2010.1576.Peer-Reviewed Original ResearchConceptsHospital cardiac arrestCardiac arrestAED useHospital dischargeHospitalized patientsShockable rhythmNonshockable rhythmsIn-Hospital Cardiac ArrestMultivariable hierarchical regressionGeneral hospital wardsEntire study populationExternal defibrillatorsPropensity score analysisUse of AEDsCohort studyImproved survivalPatient factorsStudy populationMAIN OUTCOMEPatientsHospital wardsUS hospitalsHospital sitesHospital unitsAEDs
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
Ischaemic symptoms, quality of care and mortality during myocardial infarction
Schelbert EB, Rumsfeld JS, Krumholz HM, Canto JG, Magid DJ, Masoudi FA, Reid KJ, Spertus JA. Ischaemic symptoms, quality of care and mortality during myocardial infarction. Heart 2007, 94: e2. PMID: 17639097, PMCID: PMC3703470, DOI: 10.1136/hrt.2006.111674.Peer-Reviewed Original ResearchConceptsIschemic symptomsMyocardial infarctionQuality of careST-elevation myocardial infarctionACE/ARBNon-cardiac comorbiditiesPositive cardiac enzymesEvidence of infarctionHospital mortalityCessation counsellingHospital survivalReperfusion therapyCardiac enzymesConsecutive patientsMI careMI symptomsCare indicatorsPatient reportsSymptom recognitionChart documentationPatientsUS hospitalsSymptomsInfarctionCareSocioeconomic disparities in outcomes after acute myocardial infarction
Bernheim SM, Spertus JA, Reid KJ, Bradley EH, Desai RA, Peterson ED, Rathore SS, Normand SL, Jones PG, Rahimi A, Krumholz HM. Socioeconomic disparities in outcomes after acute myocardial infarction. American Heart Journal 2007, 153: 313-319. PMID: 17239695, DOI: 10.1016/j.ahj.2006.10.037.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionBaseline clinical statusClinical factorsQuality of careLow socioeconomic statusSocioeconomic statusClinical statusMyocardial infarctionMultivariable modelingWorse clinical statusEducation levelSelf-reported household incomeCause mortalityCause rehospitalizationHazard ratioCare measuresObservational studyHousehold incomeRehospitalizationHigh riskUS hospitalsHigh mortalityPatientsMortalitySocioeconomic disparities
2005
Performance of the Thrombolysis in Myocardial Infarction (TIMI) ST-elevation myocardial infarction risk score in a national cohort of elderly patients
Rathore SS, Weinfurt KP, Foody JM, Krumholz HM. Performance of the Thrombolysis in Myocardial Infarction (TIMI) ST-elevation myocardial infarction risk score in a national cohort of elderly patients. American Heart Journal 2005, 150: 402-410. PMID: 16169316, PMCID: PMC2790534, DOI: 10.1016/j.ahj.2005.03.069.Peer-Reviewed Original ResearchConceptsThirty-day mortality rateTIMI scoreElderly patientsMortality rateRisk scoreMyocardial Infarction (TIMI) risk scoreHigh TIMI scoreMyocardial Infarction (TIMI) scoreCommunity-based cohortReperfusion therapyTrial cohortPrognostic discriminationTrial populationNational cohortModest discriminationPatientsUS hospitalsSTEMICohortScore discriminationScoresThrombolysisQuality 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/medium
2001
A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed?
Bradley EH, Holmboe ES, Mattera JA, Roumanis SA, Radford MJ, Krumholz HM. A Qualitative Study of Increasing β-Blocker Use After Myocardial Infarction: Why Do Some Hospitals Succeed? JAMA 2001, 285: 2604-2611. PMID: 11368734, DOI: 10.1001/jama.285.20.2604.Peer-Reviewed Original ResearchConceptsBeta-blocker useAcute myocardial infarctionMyocardial infarctionΒ-blocker useStrong physician leadershipImprovement effortsUS hospitalsQualitative studyHospitalPatientsHospital sizeImprovement initiativesInfarctionKey physiciansGreater improvementPhysician leadershipCareAdministrative supportUse ratesPerformance improvement effortsData feedbackParticipantsGeographic regionsCliniciansMortality