2021
Factors Associated With Cardiac Rehabilitation Participation in Older Adults After Myocardial Infarction
Goldstein DW, Hajduk AM, Song X, Tsang S, Geda M, Dodson JA, Forman DE, Krumholz H, Chaudhry SI. Factors Associated With Cardiac Rehabilitation Participation in Older Adults After Myocardial Infarction. Journal Of Cardiopulmonary Rehabilitation And Prevention 2021, 42: 109-114. PMID: 34799530, PMCID: PMC8881286, DOI: 10.1097/hcr.0000000000000627.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUtilization of CRCardiac rehabilitationCR participationOlder adultsMyocardial infarctionSensory impairmentMultivariable-adjusted logistic regression modelsNationwide prospective cohort studyOlder AMI patientsCardiac rehabilitation participationProspective cohort studyYr of educationSILVER-AMI StudyLogistic regression modelsSecondary preventionClinical factorsCohort studyPatient ageIndependent predictorsAMI patientsRehabilitation participationPsychosocial factorsCR useExtensive baseline dataToward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft
Mori M, Durant TJS, Huang C, Mortazavi BJ, Coppi A, Jean RA, Geirsson A, Schulz WL, Krumholz HM. Toward Dynamic Risk Prediction of Outcomes After Coronary Artery Bypass Graft. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007363. PMID: 34078100, PMCID: PMC8635167, DOI: 10.1161/circoutcomes.120.007363.Peer-Reviewed Original ResearchConceptsCoronary artery bypass graftArtery bypass graftIntraoperative variablesBypass graftLogistic regression modelsOperative mortalityC-statisticCoronary artery bypass graft casesThoracic Surgeons Adult Cardiac Surgery DatabaseAdult Cardiac Surgery DatabaseMean patient ageGood c-statisticCardiac Surgery DatabaseBrier scoreRisk restratificationDynamic risk predictionIntraoperative deathsPostoperative complicationsPostoperative eventsAdverse eventsPatient agePreoperative variablesRegression modelsGraft casesSurgery Database
2020
Quality of Care for Patients Hospitalized for Heart Failure in China
Gupta A, Yu Y, Tan Q, Liu S, Masoudi FA, Du X, Zhang J, Krumholz HM, Li J. Quality of Care for Patients Hospitalized for Heart Failure in China. JAMA Network Open 2020, 3: e1918619. PMID: 31913489, PMCID: PMC6991250, DOI: 10.1001/jamanetworkopen.2019.18619.Peer-Reviewed Original ResearchConceptsQuality of careHospital levelHF careEligible patientsComposite performance scoreEvidence-based β-blockersAngiotensin-converting enzyme inhibitorRetrospective cross-sectional studyVentricular ejection fraction assessmentMedian rateAngiotensin receptor blockersMedian patient ageHeart failure epidemicCross-sectional studyEjection fraction assessmentMedian odds ratioPerformance scoresHF hospitalizationReceptor blockersPatient ageHeart failureHospital admissionMedical recordsOdds ratioMAIN OUTCOME
2017
Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events
McCoy RG, Lipska KJ, Herrin J, Jeffery MM, Krumholz HM, Shah ND. Hospital Readmissions among Commercially Insured and Medicare Advantage Beneficiaries with Diabetes and the Impact of Severe Hypoglycemic and Hyperglycemic Events. Journal Of General Internal Medicine 2017, 32: 1097-1105. PMID: 28685482, PMCID: PMC5602759, DOI: 10.1007/s11606-017-4095-x.Peer-Reviewed Original ResearchConceptsDiabetes Complications Severity IndexSevere dysglycemiaIndex hospitalizationMedicare Advantage beneficiariesRisk factorsBetter care transitionsComplications Severity IndexPost-discharge managementIndependent risk factorYounger patient ageOptumLabs Data WarehouseStrong risk factorYears of ageBackgroundHospital readmissionsDesignRetrospective analysisCause readmissionUnplanned readmissionPatient agePrior hospitalizationReadmission ratesYounger patientsHeart failureHospital readmissionSevere hypoglycemiaDiabetes complications
2007
Renal Impairment Predicts Long-Term Mortality Risk after Acute Myocardial Infarction
Smith GL, Masoudi FA, Shlipak MG, Krumholz HM, Parikh CR. Renal Impairment Predicts Long-Term Mortality Risk after Acute Myocardial Infarction. Journal Of The American Society Of Nephrology 2007, 19: 141-150. PMID: 18003773, PMCID: PMC2391037, DOI: 10.1681/asn.2007050554.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionRenal functionRenal impairmentCreatinine clearanceMortality riskMyocardial infarctionCockcroft-Gault creatinine clearanceLong-term mortality riskMild renal impairmentSevere renal impairmentNormal renal functionCohort of patientsCooperative Cardiovascular ProjectPatient ageSystolic functionHospitalized patientsPrognostic importanceRisk factorsPatientsMortalityImpairmentClearanceGFRInfarctionRiskFailure 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
The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening.
Gross CP, McAvay GJ, Krumholz HM, Paltiel AD, Bhasin D, Tinetti ME. The effect of age and chronic illness on life expectancy after a diagnosis of colorectal cancer: implications for screening. Annals Of Internal Medicine 2006, 145: 646-53. PMID: 17088577, DOI: 10.7326/0003-4819-145-9-200611070-00006.Peer-Reviewed Original ResearchConceptsChronic illnessColorectal cancerChronic conditionsLife expectancyCancer stageEarly-stage colorectal cancerPopulation-based cancer registriesPatients 67 yearsRetrospective cohort studyStage I cancerAdministrative claims dataChronic condition groupsFinal study sampleYears of ageShort life expectancyCohort studyEffect of agePatient ageI cancerCancer RegistryCancer variesHealthy patientsIndividual patientsMedicare claimsAdministrative claims
2001
Symptom Predictors of Acute Coronary Syndromes in Younger and Older Patients
Milner K, Funk M, Richards S, Vaccarino V, Krumholz H. Symptom Predictors of Acute Coronary Syndromes in Younger and Older Patients. Nursing Research 2001, 50: 233-241. PMID: 11480532, DOI: 10.1097/00006199-200107000-00007.Peer-Reviewed Original ResearchConceptsAcute coronary syndromeOlder patientsYounger patientsChest symptomsSymptom predictorsTypical symptomsCoronary syndromeRegional cardiac referral centerCardiac referral centerInitiation of treatmentLogistic regression analysisPositive predictorArm painReferral centerPatient ageAtypical symptomsEmergency departmentAppropriate triageBorderline associationSymptom presentPatient decisionGreater oddsPatientsSignificant negative predictorPatient's presencePhysician characteristics and the initiation of beta-adrenergic blocking agent therapy after acute myocardial infarction in a managed care population.
Fehrenbach SN, Budnitz DS, Gazmararian JA, Krumholz HM. Physician characteristics and the initiation of beta-adrenergic blocking agent therapy after acute myocardial infarction in a managed care population. The American Journal Of Managed Care 2001, 7: 717-23. PMID: 11464429.Peer-Reviewed Original ResearchConceptsBeta-adrenergic blocking agentsAcute myocardial infarctionBeta-adrenergic blocking agent therapyRegion of hospitalizationFamily practice physiciansPhysician characteristicsBlocking agentMyocardial infarctionHospital dischargeAgent therapyPractice physiciansPercent of patientsRetrospective administrative data analysisPatient agePatient characteristicsMedication claimsStudy cohortCare populationCardiac treatmentAdministrative data analysisInfarctionMultivariate modelPhysiciansHospitalizationCare organizations
1998
Sex Differences in Mortality After Myocardial Infarction: Evidence for a Sex-Age Interaction
Vaccarino V, Horwitz RI, Meehan TP, Petrillo MK, Radford MJ, Krumholz HM. Sex Differences in Mortality After Myocardial Infarction: Evidence for a Sex-Age Interaction. JAMA Internal Medicine 1998, 158: 2054-2062. PMID: 9778206, DOI: 10.1001/archinte.158.18.2054.Peer-Reviewed Original ResearchConceptsMyocardial infarctionMortality rateAge groupsSex-age interactionOlder womenHigh mortalityHigher hospital mortality rateSex differencesAge group 75 yearsHospital mortality rateRetrospective cohort studyProcess of careYounger age groupsSame age groupHospital deathOlder patientsCohort studyConsecutive patientsPatient ageComorbid conditionsHospital characteristicsClinical severityMedical recordsConnecticut hospitalsHigher odds