2020
Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults
Mori M, Wang Y, Mahajan S, Geirsson A, Krumholz HM. Associations Between the Severity of Influenza Seasons and Mortality and Readmission Risks After Elective Surgical Aortic Valve Replacement and Coronary Artery Bypass Graft Surgery in Older Adults. JAMA Network Open 2020, 3: e2031078. PMID: 33355673, PMCID: PMC7758803, DOI: 10.1001/jamanetworkopen.2020.31078.Peer-Reviewed Original ResearchConceptsSurgical aortic valve replacementElective surgical aortic valve replacementAortic valve replacementValve replacementReadmission riskCoronary artery bypass graft surgeryArtery bypass graft surgeryOlder adultsBypass graft surgeryCoronary artery bypassCross-sectional studyArtery bypassGraft surgeryInfluenza seasonMedicaid ServicesMortalitySeverityAdultsRiskAssociationSurgeryBypassPresentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study
Gupta A, Tsang S, Hajduk A, Krumholz HM, Nanna MG, Green P, Dodson JA, Chaudhry SI. Presentation, Treatment, and Outcomes of the Oldest-Old Patients with Acute Myocardial Infarction: The SILVER-AMI Study. The American Journal Of Medicine 2020, 134: 95-103. PMID: 32805225, PMCID: PMC7752813, DOI: 10.1016/j.amjmed.2020.07.020.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overChi-Square DistributionFemaleGeriatricsHumansMaleMyocardial InfarctionOutcome Assessment, Health CareProportional Hazards ModelsTreatment OutcomeConceptsOldest-old patientsMyocardial infarctionFunctional impairmentOlder patientsMobility impairmentsCox proportional hazards regressionMiddle-old patientsProportional hazards regressionAcute myocardial infarctionCase fatality rateAcute myocardial infarction hospitalizationsSILVER-AMI StudyYears of ageMyocardial infarction hospitalizationsChest painCoronary revascularizationAtypical presentationHazards regressionClinical variablesRisk factorsAdvanced agePrimary symptomsPatientsFatality rateHealth status
2019
Acute Kidney Injury Among Older Patients Undergoing Coronary Angiography for Acute Myocardial Infarction: The SILVER-AMI Study
Dodson JA, Hajduk A, Curtis J, Geda M, Krumholz HM, Song X, Tsang S, Blaum C, Miller P, Parikh CR, Chaudhry SI. Acute Kidney Injury Among Older Patients Undergoing Coronary Angiography for Acute Myocardial Infarction: The SILVER-AMI Study. The American Journal Of Medicine 2019, 132: e817-e826. PMID: 31170374, PMCID: PMC6891160, DOI: 10.1016/j.amjmed.2019.05.022.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAcute Kidney InjuryAge FactorsAgedAged, 80 and overCohort StudiesCoronary AngiographyDatabases, FactualFemaleGeriatric AssessmentHospital MortalityHospitalizationHumansKaplan-Meier EstimateLogistic ModelsMaleMyocardial InfarctionOdds RatioPrognosisProportional Hazards ModelsRisk AssessmentSeverity of Illness IndexSurvival AnalysisConceptsAcute kidney injuryAcute myocardial infarctionAge-related conditionsKidney injuryBody mass indexCoronary angiographyRisk factorsMyocardial infarctionOlder patientsMean ageAcute kidney injury risk factorsAcute Myocardial Infarction StudyAcute myocardial infarction cohortOlder adultsGlobal Outcomes criteriaMyocardial Infarction StudyInjury risk factorsParticipants' mean ageSILVER-AMI StudyMultivariable adjustmentComorbid diseasesHeart failureIndependent predictorsGeriatric conditionsMass index
2016
Underweight, Markers of Cachexia, and Mortality in Acute Myocardial Infarction: A Prospective Cohort Study of Elderly Medicare Beneficiaries
Bucholz EM, Krumholz HA, Krumholz HM. Underweight, Markers of Cachexia, and Mortality in Acute Myocardial Infarction: A Prospective Cohort Study of Elderly Medicare Beneficiaries. PLOS Medicine 2016, 13: e1001998. PMID: 27093615, PMCID: PMC4836735, DOI: 10.1371/journal.pmed.1001998.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAged, 80 and overBody Mass IndexCachexiaComorbidityFemaleFrail ElderlyGeriatric AssessmentHospital MortalityHumansInsurance BenefitsKaplan-Meier EstimateMaleMedicareMyocardial InfarctionNutrition AssessmentNutritional StatusPrevalencePrognosisProportional Hazards ModelsProspective StudiesRisk AssessmentRisk FactorsThinnessTime FactorsUnited StatesConceptsLower body mass indexNormal weight patientsBody mass indexAcute myocardial infarctionUnderweight patientsWeight patientsSubset of patientsHigh riskFrailty measuresLaboratory markersMyocardial infarctionMedicare beneficiariesNutritional statusCox proportional hazards regressionUnderweight body mass indexMarkers of cachexiaLong-term mortalityProspective cohort studyCohort-based studyMeasures of frailtyProportional hazards regressionCooperative Cardiovascular ProjectElderly Medicare beneficiariesImportant risk factorSignificant chronic illnessIncidence and Determinants of Traumatic Intracranial Bleeding Among Older Veterans Receiving Warfarin for Atrial Fibrillation
Dodson JA, Petrone A, Gagnon DR, Tinetti ME, Krumholz HM, Gaziano JM. Incidence and Determinants of Traumatic Intracranial Bleeding Among Older Veterans Receiving Warfarin for Atrial Fibrillation. JAMA Cardiology 2016, 1: 65. PMID: 27437657, PMCID: PMC5600874, DOI: 10.1001/jamacardio.2015.0345.Peer-Reviewed Original ResearchMeSH KeywordsAgedAtrial FibrillationCohort StudiesContraindications, DrugFemaleHumansIntracranial HemorrhagesMaleProportional Hazards ModelsRetrospective StudiesRisk FactorsVeteransWarfarinConceptsTraumatic intracranial bleedingIntracranial bleedingInternational normalized ratioIschemic strokeAtrial fibrillationIncidence rateAnticonvulsant useWarfarin therapyNormalized ratioRisk factorsOlder adultsVeterans AffairsCox proportional hazards regressionVA electronic medical recordsMean patient agePatients 75 yearsRetrospective cohort studyClinical Modification codesCoronary artery diseaseProportional hazards regressionService claims dataVA administrative dataSignificant predictorsHealth care professionalsElectronic medical recordsSlow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry
Dodson JA, Arnold SV, Gosch KL, Gill TM, Spertus JA, Krumholz HM, Rich MW, Chaudhry SI, Forman DE, Masoudi FA, Alexander KP. Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry. Journal Of The American Geriatrics Society 2016, 64: 596-601. PMID: 26926309, PMCID: PMC4803531, DOI: 10.1111/jgs.14016.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionSlow gaitHospital readmissionGait speedOlder adultsCox proportional hazards regressionMarker of frailtySlow gait speedTranslational researchProportional hazards regressionOutcomes 1 yearRisk of mortalityAssessment 1 monthBaseline characteristicsObservational cohortClinical factorsDiabetes mellitusHeart failureHazards regressionPrognostic importancePrognostic valueHigh prevalenceInfarctionReadmission
2015
Excess weight and life expectancy after acute myocardial infarction: The obesity paradox reexamined
Bucholz EM, Beckman AL, Krumholz HA, Krumholz HM, conducted. B. Excess weight and life expectancy after acute myocardial infarction: The obesity paradox reexamined. American Heart Journal 2015, 172: 173-181. PMID: 26856230, PMCID: PMC5097250, DOI: 10.1016/j.ahj.2015.10.024.Peer-Reviewed Original ResearchConceptsNormal weight patientsAcute myocardial infarctionBody mass indexHigher body mass indexLong-term survivalObese patientsOverweight patientsObesity paradoxExcess weightMyocardial infarctionLife expectancyTime of AMIHigher crude mortalityTime pointsShort-term mortalityCooperative Cardiovascular ProjectMedical record studyProportional hazards modelYears of ageMorbid obesityOlder patientsSurvival benefitYounger patientsCrude mortalityBMI groupsRace, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction
Bucholz EM, Ma S, Normand SL, Krumholz HM. Race, Socioeconomic Status, and Life Expectancy After Acute Myocardial Infarction. Circulation 2015, 132: 1338-1346. PMID: 26369354, PMCID: PMC5097251, DOI: 10.1161/circulationaha.115.017009.Peer-Reviewed Original Research
2012
Body Mass Index and Mortality in Acute Myocardial Infarction Patients
Bucholz EM, Rathore SS, Reid KJ, Jones PG, Chan PS, Rich MW, Spertus JA, Krumholz HM. Body Mass Index and Mortality in Acute Myocardial Infarction Patients. The American Journal Of Medicine 2012, 125: 796-803. PMID: 22483510, PMCID: PMC3408565, DOI: 10.1016/j.amjmed.2012.01.018.Peer-Reviewed Original ResearchConceptsBody mass indexHigher body mass indexAcute myocardial infarctionMyocardial infarctionLower mortalityObesity paradoxMass indexAssociation of BMIMedian body mass indexCox proportional hazards regressionAcute myocardial infarction patientsImpact of obesityRegistry of patientsProportional hazards regressionMyocardial infarction patientsContinuous variablesDomains of patientsDiabetes subgroupsClinical characteristicsMultivariable adjustmentHeart failurePatient characteristicsBMI groupsDiabetes mellitusHazards regression
2011
Factors Associated With 30-Day Readmission Rates After Percutaneous Coronary Intervention
Khawaja FJ, Shah ND, Lennon RJ, Slusser JP, Alkatib AA, Rihal CS, Gersh BJ, Montori VM, Holmes DR, Bell MR, Curtis JP, Krumholz HM, Ting HH. Factors Associated With 30-Day Readmission Rates After Percutaneous Coronary Intervention. JAMA Internal Medicine 2011, 172: 112-117. PMID: 22123752, PMCID: PMC3688066, DOI: 10.1001/archinternmed.2011.569.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAngina, UnstableAngioplasty, Balloon, CoronaryCoronary Artery BypassEducational StatusFemaleFollow-Up StudiesHeart FailureHumansIschemic Attack, TransientKidney DiseasesLength of StayMaleMedicareMultivariate AnalysisMyocardial InfarctionNeoplasm MetastasisPatient ReadmissionPeptic UlcerProportional Hazards ModelsPulmonary Disease, Chronic ObstructiveRegistriesSex FactorsStrokeUnited StatesConceptsPercutaneous coronary interventionThirty-day readmissionReadmission ratesCoronary interventionHigh riskChronic obstructive pulmonary diseaseThirty-day readmission ratesCox proportional hazards modelMultivariate logistic regression modelTransient ischemic attackCongestive heart failureObstructive pulmonary diseasePeptic ulcer diseaseSevere renal diseaseAcute myocardial infarctionLength of stayMain outcome measuresProportional hazards modelSaint Mary's HospitalLogistic regression modelsIschemic attackTime-dependent covariatesUnstable anginaCerebrovascular accidentHeart failureInvestigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome
Morgan TM, House JA, Cresci S, Jones P, Allayee H, Hazen SL, Patel Y, Patel RS, Eapen DJ, Waddy SP, Quyyumi AA, Kleber ME, März W, Winkelmann BR, Boehm BO, Krumholz HM, Spertus JA. Investigation of 95 variants identified in a genome-wide study for association with mortality after acute coronary syndrome. BMC Medical Genomics 2011, 12: 127. PMID: 21957892, PMCID: PMC3190329, DOI: 10.1186/1471-2350-12-127.Peer-Reviewed Original ResearchMeSH KeywordsAcute Coronary SyndromeAgedAged, 80 and overAminohydrolasesCohort StudiesFemaleFormate-Tetrahydrofolate LigaseGenetic VariationGenome-Wide Association StudyGenotypeHumansKaplan-Meier EstimateMaleMethylenetetrahydrofolate Dehydrogenase (NADP)Middle AgedMultienzyme ComplexesMyocardial InfarctionPolymorphism, Single NucleotideProportional Hazards ModelsRisk FactorsWhite PeopleConceptsAcute coronary syndromeCoronary syndromeCoronary artery disease patientsKaplan-Meier survival analysisACS risk factorsCoronary artery diseaseUniversity-affiliated hospitalMyocardial infarction patientsPremature myocardial infarctionRace-adjusted analysesACS mortalityArtery diseaseCox regressionBorderline significanceDisease patientsInfarction patientsMyocardial infarctionRisk factorsMortality hazardIndependent cohortSurvival analysisDiverse cohortPatientsRelevant covariatesBackgroundGenome-wide association studies
2010
Persistence of Cardiovascular Risk After Rofecoxib Discontinuation
Ross JS, Madigan D, Konstam MA, Egilman DS, Krumholz HM. Persistence of Cardiovascular Risk After Rofecoxib Discontinuation. JAMA Internal Medicine 2010, 170: 2035-2036. PMID: 21149763, PMCID: PMC3024905, DOI: 10.1001/archinternmed.2010.461.Peer-Reviewed Original Research
2009
Increased Mortality among Survivors of Myocardial Infarction with Kidney Dysfunction: the Contribution of Gaps in the use of Guideline-Based Therapies
Peterson PN, Ambardekar AV, Jones PG, Krumholz HM, Schelbert E, Spertus JA, Rumsfeld JS, Masoudi FA. Increased Mortality among Survivors of Myocardial Infarction with Kidney Dysfunction: the Contribution of Gaps in the use of Guideline-Based Therapies. BMC Cardiovascular Disorders 2009, 9: 29. PMID: 19586550, PMCID: PMC2716301, DOI: 10.1186/1471-2261-9-29.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedFemaleGlomerular Filtration RateHumansKaplan-Meier EstimateKidney DiseasesMaleMiddle AgedMyocardial InfarctionPractice Guidelines as TopicProportional Hazards ModelsProspective StudiesRegistriesRisk AssessmentSeverity of Illness IndexSurvivorsTime FactorsTreatment OutcomeUnited StatesConceptsGlomerular filtration rateAcute myocardial infarctionGuideline-based medical therapyGuideline-based therapyMedical therapyKidney dysfunctionMyocardial infarctionUse of guidelinesEligible patientsRenal dysfunctionHazard ratioCox regressionPathophysiological abnormalitiesClinical variablesKidney diseaseFiltration rateNovel therapiesUS CentersHigh mortalityPatientsTherapyFurther adjustmentMortalityDysfunctionTreatment factorsThe Association of Cognitive and Somatic Depressive Symptoms With Depression Recognition and Outcomes After Myocardial Infarction
Smolderen KG, Spertus JA, Reid KJ, Buchanan DM, Krumholz HM, Denollet J, Vaccarino V, Chan PS. The Association of Cognitive and Somatic Depressive Symptoms With Depression Recognition and Outcomes After Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2009, 2: 328-337. PMID: 20031858, PMCID: PMC2779543, DOI: 10.1161/circoutcomes.109.868588.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCognitive depressive symptomsSomatic depressive symptomsDepressive symptomsSomatic symptomsAMI patientsMyocardial infarctionCognitive symptomsUnadjusted Cox regression analysisPatient Health Questionnaire scoresDepression recognitionLong-term prognosisCox regression analysisLong-term outcomesRecognition of depressionAssociation of CognitiveCause mortalityCause rehospitalizationIndex hospitalizationMultivariable adjustmentAMI registrySymptom scoresClinical recognitionIndependent associationMedical recordsElevated Admission Glucose and Mortality in Elderly Patients Hospitalized With Heart Failure
Kosiborod M, Inzucchi SE, Spertus JA, Wang Y, Masoudi FA, Havranek EP, Krumholz HM. Elevated Admission Glucose and Mortality in Elderly Patients Hospitalized With Heart Failure. Circulation 2009, 119: 1899-1907. PMID: 19332465, DOI: 10.1161/circulationaha.108.821843.Peer-Reviewed Original ResearchConceptsHeart failureAdmission glucoseElderly patientsDiabetes mellitusAdverse outcomesMultivariable Cox regression modelsAdmission glucose levelsElevated admission glucoseAcute myocardial infarctionCox regression modelCause mortalityMultivariable adjustmentEntire cohortGlucose controlMyocardial infarctionCardiovascular conditionsGlucose levelsLarge cohortElevated glucoseRepresentative cohortPatientsSignificant associationMortalityCohortMellitus
2008
Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review
Ross JS, Mulvey GK, Stauffer B, Patlolla V, Bernheim SM, Keenan PS, Krumholz HM. Statistical Models and Patient Predictors of Readmission for Heart Failure: A Systematic Review. JAMA Internal Medicine 2008, 168: 1371-1386. PMID: 18625917, DOI: 10.1001/archinte.168.13.1371.Peer-Reviewed Original ResearchMeSH KeywordsDisease ProgressionEvidence-Based MedicineFemaleHeart FailureHospitalizationHumansIncidenceMaleModels, StatisticalPatient ReadmissionPredictive Value of TestsProportional Hazards ModelsQuality-Adjusted Life YearsRisk FactorsSensitivity and SpecificitySeverity of Illness IndexSurvival AnalysisUnited StatesConceptsPatient characteristicsPatient readmission riskReadmission riskPatient riskSystematic reviewReadmission ratesHospital ratesOvid Evidence-Based Medicine ReviewsEligible English-language publicationsEvidence-Based Medicine ReviewsHeart failure hospitalizationPatient risk stratificationEnglish-language literatureEnglish-language publicationsFailure hospitalizationHF hospitalizationAdult patientsHeart failureHospital readmissionMedicine ReviewsRisk stratificationPatient predictorsInclusion criteriaReadmissionCombined outcomeAssociation of Early Follow-up After Acute Myocardial Infarction With Higher Rates of Medication Use
Daugherty SL, Ho PM, Spertus JA, Jones PG, Bach RG, Krumholz HM, Peterson ED, Rumsfeld JS, Masoudi FA. Association of Early Follow-up After Acute Myocardial Infarction With Higher Rates of Medication Use. JAMA Internal Medicine 2008, 168: 485-491. PMID: 18332293, DOI: 10.1001/archinte.168.5.485.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAngiotensin-Converting Enzyme InhibitorsAspirinContinuity of Patient CareEvidence-Based MedicineFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPoisson DistributionProportional Hazards ModelsProspective StudiesRegistriesRegression AnalysisTreatment OutcomeConceptsAcute myocardial infarctionMedication useMyocardial infarctionMultivariable analysisEarly outpatientEvidence-based medication useProspective Registry Evaluating OutcomesSecondary analysisEarly Follow-upBeta-blocker useUse of aspirinCurrent guideline recommendationsPrimary care physiciansEvidence-based therapiesHigh rateEligible patientsStatin useClinical characteristicsHospital dischargePrimary outcomeCare physiciansGuideline recommendationsMedication prescriptionsFollow-upEvaluating Outcomes
2007
Identifying Heart Failure Patients at High Risk for Near-Term Cardiovascular Events With Serial Health Status Assessments
Kosiborod M, Soto GE, Jones PG, Krumholz HM, Weintraub WS, Deedwania P, Spertus JA. Identifying Heart Failure Patients at High Risk for Near-Term Cardiovascular Events With Serial Health Status Assessments. Circulation 2007, 115: 1975-1981. PMID: 17420346, DOI: 10.1161/circulationaha.106.670901.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireHeart failure outpatientsHealth status assessmentCause mortalityCardiovascular mortalityKaplan-Meier survival analysisHigh-risk patientsHeart failure patientsAcute myocardial infarctionProportional hazards modelIntensity of treatmentStatus assessmentKCCQ scoresCardiovascular deathCardiovascular eventsClinical deteriorationMultivariable adjustmentFailure patientsHeart failureOutpatient visitsMyocardial infarctionHigh riskHospitalizationPatientsCombined outcome
2006
Prediction of medical morbidity and mortality after acute myocardial infarction in patients at increased psychosocial risk in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) study
Jaffe AS, Krumholz HM, Catellier DJ, Freedland KE, Bittner V, Blumenthal JA, Calvin JE, Norman J, Sequeira R, O'Connor C, Rich MW, Sheps D, Wu C, Investigators F. Prediction of medical morbidity and mortality after acute myocardial infarction in patients at increased psychosocial risk in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) study. American Heart Journal 2006, 152: 126-135. PMID: 16824842, DOI: 10.1016/j.ahj.2005.10.004.Peer-Reviewed Original ResearchConceptsPost-MI patientsAcute myocardial infarctionMyocardial infarctionLow social supportCardiovascular mortalityEnd pointNonfatal myocardial infarctionPrimary end pointSecondary end pointsLong-term mortalityPrior myocardial infarctionSignificant multivariable predictorsProportional hazards modelSocial supportKillip classCause mortalityElevated creatinineRecurrent infarctionAdverse eventsBaseline characteristicsBypass surgeryEjection fractionHeart failureMedical morbidityMedical predictorsThe impact of late career job loss on myocardial infarction and stroke: a 10 year follow up using the health and retirement survey
Gallo WT, Teng HM, Falba TA, Kasl SV, Krumholz HM, Bradley EH. The impact of late career job loss on myocardial infarction and stroke: a 10 year follow up using the health and retirement survey. Occupational And Environmental Medicine 2006, 63: 683. PMID: 16798871, PMCID: PMC1839969, DOI: 10.1136/oem.2006.026823.Peer-Reviewed Original ResearchConceptsInvoluntary job lossJob lossRetirement SurveyLate-career job lossLate-career unemploymentLoss of employmentTrue costFinancial deprivationOlder workersPolicy makersUS HealthSubsequent myocardial infarctionMyocardial infarctionSubstantial health consequencesStudy frameCox proportional hazards analysisWorkersProportional hazards analysisPotential risk factorsUnemploymentYears of ageHealth changesJoblessnessRetirementEmployment