2023
Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019
See C, Wheelock K, Caraballo C, Khera R, Annapureddy A, Mahajan S, Lu Y, Krumholz H, Murugiah K. Patterns of Digoxin Prescribing for Medicare Beneficiaries in the United States 2013-2019. American Journal Of Medicine Open 2023, 10: 100048. PMID: 38213879, PMCID: PMC10783702, DOI: 10.1016/j.ajmo.2023.100048.Peer-Reviewed Original ResearchDigoxin prescriptionDigoxin useNew heart failure therapiesGeneral medicine physiciansHeart failure therapyMedicare Part D dataPart D dataDigoxin prescribingFailure therapyPrescriber characteristicsMedicine physiciansMedicare beneficiariesPrescribersLikely maleLogistic regressionDigoxinNew prescribersPrescriptionRecent dataCardiologyOpportunities 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 locationsSex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction
Brush J, Chaudhry S, Dreyer R, D'Onofrio G, Greene E, Hajduk A, Lu Y, Krumholz H. Sex Differences in Symptom Complexity and Door-to-Balloon Time in Patients With ST-Elevation Myocardial Infarction. The American Journal Of Cardiology 2023, 197: 101-107. PMID: 37062667, PMCID: PMC10198892, DOI: 10.1016/j.amjcard.2023.03.009.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionD2B timeSymptom complexityYoung womenChest painBalloon timeST-elevation myocardial infarctionSILVER-AMI StudySymptom phenotypeSex differencesPain symptomsCoronary interventionOlder patientsMyocardial infarctionOlder womenSTEMIOlder menSymptom patternsPresentation delayPatientsSymptom clustersLogistic regressionSymptomsWomenMean number
2021
Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction
Khera R, Haimovich J, Hurley NC, McNamara R, Spertus JA, Desai N, Rumsfeld JS, Masoudi FA, Huang C, Normand SL, Mortazavi BJ, Krumholz HM. Use of Machine Learning Models to Predict Death After Acute Myocardial Infarction. JAMA Cardiology 2021, 6: 633-641. PMID: 33688915, PMCID: PMC7948114, DOI: 10.1001/jamacardio.2021.0122.Peer-Reviewed Original ResearchConceptsMachine learning modelsMeta-classifier modelLearning modelNeural networkGradient descent boostingAcute myocardial infarctionContemporary machineGradient descentXGBoost modelXGBoostHospital mortalityCohort studyLogistic regressionMyocardial infarctionNetworkChest Pain-MI RegistryPrecise classificationIndependent validation dataInitial laboratory valuesNovel methodLarge national registryHigh-risk individualsData analysisValidation dataResolution of risk
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
2016
Analysis of Machine Learning Techniques for Heart Failure Readmissions
Mortazavi BJ, Downing NS, Bucholz EM, Dharmarajan K, Manhapra A, Li SX, Negahban SN, Krumholz HM. Analysis of Machine Learning Techniques for Heart Failure Readmissions. Circulation Cardiovascular Quality And Outcomes 2016, 9: 629-640. PMID: 28263938, PMCID: PMC5459389, DOI: 10.1161/circoutcomes.116.003039.Peer-Reviewed Original Research
2015
Frequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study)
Gupta A, Chui P, Zhou S, Spertus JA, Geda M, Lorenze N, Lee I, Onofrio G, Lichtman JH, Alexander KP, Krumholz HM, Curtis JP. Frequency and Effects of Excess Dosing of Anticoagulants in Patients ≤55 Years With Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention (from the VIRGO Study). The American Journal Of Cardiology 2015, 116: 1-7. PMID: 25937348, PMCID: PMC4466069, DOI: 10.1016/j.amjcard.2015.03.032.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge DistributionAngioplasty, Balloon, CoronaryAnticoagulantsAntithrombinsBody Mass IndexCohort StudiesFemaleHemorrhageHeparinHirudinsHumansMaleMiddle AgedMyocardial InfarctionPeptide FragmentsPercutaneous Coronary InterventionPlatelet Glycoprotein GPIIb-IIIa ComplexPrevalenceRecombinant ProteinsRisk AssessmentRisk FactorsSex DistributionTreatment OutcomeUnited StatesConceptsPercutaneous coronary interventionGlycoprotein IIb/IIIa inhibitorsIIb/IIIa inhibitorsExcess dosingAcute myocardial infarctionCoronary interventionMultivariable analysisMyocardial infarctionUnderwent Percutaneous Coronary InterventionLower body weightOlder patientsYounger patientsUnfractionated heparinMedical recordsUnivariate analysisAnticoagulant agentsAnticoagulant drugsBody weightPatientsDosingYounger ageLogistic regressionYoung womenAnticoagulantsGender-based differences
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 Value
2013
Quality collaboratives and campaigns to reduce readmissions: What strategies are hospitals using?
Bradley EH, Sipsma H, Curry L, Mehrotra D, Horwitz LI, Krumholz H. Quality collaboratives and campaigns to reduce readmissions: What strategies are hospitals using? Journal Of Hospital Medicine 2013, 8: 601-608. PMID: 24038927, PMCID: PMC4029612, DOI: 10.1002/jhm.2076.Peer-Reviewed Original ResearchMeSH KeywordsContinuity of Patient CareCooperative BehaviorCross-Sectional StudiesHealth Care SurveysHealth Plan ImplementationHumansInformation DisseminationInternetLogistic ModelsMedication ReconciliationMultivariate AnalysisPatient DischargePatient ReadmissionQuality Assurance, Health CareQuality Indicators, Health CareUnited StatesConceptsQuality collaborativesCardiac rehabilitation servicesMultivariable logistic regressionSkilled nursing facilitiesHospital readmissionMedication reconciliationTreating physicianPatient dischargePatient referralOutpatient physiciansMultivariable modelNursing facilitiesStandard frequency analysisHospitalRehabilitation servicesWeb-based surveyReadmissionLogistic regressionQuality InitiativeHospital strategiesPhysiciansCurrent useCollaborativesPatientsSTAARParental Immigration Status is Associated with Children’s Health Care Utilization: Findings from the 2003 New Immigrant Survey of US Legal Permanent Residents
Yun K, Fuentes-Afflick E, Curry LA, Krumholz HM, Desai MM. Parental Immigration Status is Associated with Children’s Health Care Utilization: Findings from the 2003 New Immigrant Survey of US Legal Permanent Residents. Maternal And Child Health Journal 2013, 17: 1913-1921. PMID: 23329165, PMCID: PMC4089976, DOI: 10.1007/s10995-012-1217-2.Peer-Reviewed Original ResearchConceptsHealth care utilizationCare utilizationParental immigration statusAnnual examChild healthChild health care utilizationChild health statusDental careGroup of childrenDental servicesExcellent healthMedical attentionHealth statusLogistic regressionImmigration statusChildrenPermanent residentsHealthNational sampleStatusImmigrant adultsExamParent immigration statusSocioeconomic characteristicsTemporary residents
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
2008
Contemporary evidence: baseline data from the D2B Alliance
Bradley EH, Nallamothu BK, Stern AF, Byrd JR, Cherlin EJ, Wang Y, Yuan C, Nembhard I, Brush JE, Krumholz HM. Contemporary evidence: baseline data from the D2B Alliance. BMC Research Notes 2008, 1: 23. PMID: 18710480, PMCID: PMC2525646, DOI: 10.1186/1756-0500-1-23.Peer-Reviewed Original ResearchST-segment elevation myocardial infarctionPrimary percutaneous coronary interventionD2B AllianceHospital characteristicsEvidence-based strategiesD2B timeU.S. hospitalsElevation myocardial infarctionPercutaneous coronary interventionMultivariate logistic regressionCross-sectional studyBalloon (D2B) AllianceCoronary interventionPrompt treatmentMyocardial infarctionHospitalWeb-based surveyLogistic regressionBaseline dataPatientsKey strategyCurrent practiceBackgroundLessInfarctionResultsOfDelayed Time to Defibrillation after In-Hospital Cardiac Arrest
S. C, M. K, Graham N, K. N, Investigators T. Delayed Time to Defibrillation after In-Hospital Cardiac Arrest. New England Journal Of Medicine 2008, 358: 9-17. PMID: 18172170, DOI: 10.1056/nejmoa0706467.Peer-Reviewed Original ResearchMeSH KeywordsAgedComorbidityElectric CountershockFemaleHeart ArrestHeart FailureHospital Bed CapacityHospital MortalityHospitalizationHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionRetrospective StudiesSurvival AnalysisTachycardia, VentricularTime FactorsVentricular FibrillationConceptsHospital cardiac arrestCardiac arrestHospital dischargeIn-Hospital Cardiac ArrestOverall median timePulseless ventricular tachycardiaMultivariable logistic regressionLower ratesMedian timeVentricular arrhythmiasBlack raceHospital characteristicsNational registryVentricular tachycardiaCardiopulmonary resuscitationExpert guidelinesVentricular fibrillationHospital unitsLogistic regressionPatientsDefibrillationSurvivalArrestHospitalMinutes of delay
2005
Enrollment of Older Persons in Cancer Trials After the Medicare Reimbursement Policy Change
Gross CP, Wong N, Dubin JA, Mayne ST, Krumholz HM. Enrollment of Older Persons in Cancer Trials After the Medicare Reimbursement Policy Change. JAMA Internal Medicine 2005, 165: 1514-1520. PMID: 16009867, DOI: 10.1001/archinte.165.13.1514.Peer-Reviewed Original ResearchConceptsOlder patientsCancer trialsReimbursement policy changesOlder personsPatients' sociodemographic characteristicsTrial exclusion criteriaMultivariate logistic regressionProstate cancer trialsProportion of participantsNational Cancer InstituteRoutine care costsSignificant changesClinical trialsPrimary study sampleExclusion criteriaTrial participantsCancer InstitutePatientsPrimary analysisCare costsMultivariate analysisSecondary analysisSociodemographic characteristicsLogistic regressionCancer types77 ADMISSION BODY TEMPERATURE AND MORTALITY IN PATIENTS HOSPITALIZED FOR HEART FAILURE
Nallamothu B, Payvar S, Wang Y, Kosiborod M, Foody J, Masoudi F, Havranek E, Casscells S, Krumholz H. 77 ADMISSION BODY TEMPERATURE AND MORTALITY IN PATIENTS HOSPITALIZED FOR HEART FAILURE. Journal Of Investigative Medicine 2005, 53: s400. DOI: 10.2310/6650.2005.00205.76.Peer-Reviewed Original ResearchOne-year mortalityAdmission body temperatureHeart failureWorse survivalBody temperatureLow body temperatureLogistic regressionPatients 65 yearsAdvanced heart failurePATIENTS HOSPITALIZEDHospital deathMultivariate adjustmentPatient subgroupsIndependent associationClinical dataStudy populationPatientsPolynomial logistic regressionCare ProjectMortalityHospitalSurvivalFailureSignificant relationshipHospitalized