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 dataFalls in older adults after hospitalization for acute myocardial infarction
Goldstein DW, Hajduk AM, Song X, Tsang S, Geda M, McClurken JB, Tinetti ME, Krumholz HM, Chaudhry SI. Falls in older adults after hospitalization for acute myocardial infarction. Journal Of The American Geriatrics Society 2021, 69: 3476-3485. PMID: 34383963, PMCID: PMC8882265, DOI: 10.1111/jgs.17398.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionSerious fallsOlder patientsMyocardial infarctionRisk factorsAge 75Older adultsMedical record adjudicationLonger hospital stayMonths of dischargeProspective cohort studyMedical record reviewSelf-reported fallsAdults age 75Logistic regression analysisAcademic medical centerHospital stayCohort studyClinical factorsRecord reviewFunctional mobilityNew medicationsFall riskMedical CenterImpaired mobility
2020
Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns
Mori M, Brooks C, Spatz E, Mortazavi BJ, Dhruva SS, Linderman GC, Grab LA, Zhang Y, Geirsson A, Chaudhry SI, Krumholz HM. Protocol for project recovery after cardiac surgery: a single-center cohort study leveraging digital platform to characterise longitudinal patient-reported postoperative recovery patterns. BMJ Open 2020, 10: e036959. PMID: 32873671, PMCID: PMC7467526, DOI: 10.1136/bmjopen-2020-036959.Peer-Reviewed Original ResearchConceptsPatient-reported outcome measuresCohort studyHospital dischargeCardiac surgerySingle-center cohort studyCoronary artery bypass graftIntensive care unit dischargeMedical record review dataPostoperative patient recoveryPostoperative recovery patternsArtery bypass graftProspective cohort studyGroup-based trajectory modellingMedical record reviewRecovery patternsRecord review dataHealth information exchange platformInstitutional review boardAortic surgeryHospital coursePatient demographicsPeer-reviewed journalsClinical factorsHospital readmissionOperative details
2019
Thirty-Day Hospital Readmission After Acute Myocardial Infarction in China
Li J, Dharmarajan K, Bai X, Masoudi FA, Spertus JA, Li X, Zheng X, Zhang H, Yan X, Dreyer RP, Krumholz HM, Group F. Thirty-Day Hospital Readmission After Acute Myocardial Infarction in China. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005628. PMID: 31092023, DOI: 10.1161/circoutcomes.119.005628.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionUnplanned cardiovascular readmissionsDays of dischargeMyocardial infarctionCardiovascular readmissionCause readmissionMost readmissionsLower riskFit Cox proportional hazards modelsST-segment elevation myocardial infarctionAcute Coronary Events (GRACE) scoreThirty-day hospital readmissionsDisease-specific health statusCox proportional hazards modelVentricular ejection fractionProportional hazards modelLow social supportBackground ReadmissionRecurrent anginaCardiovascular eventsHospital complicationsUnplanned readmissionIndex hospitalizationClinical factorsConsecutive patients
2017
Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)
Lu J, Lu Y, Wang X, Li X, Linderman GC, Wu C, Cheng X, Mu L, Zhang H, Liu J, Su M, Zhao H, Spatz ES, Spertus JA, Masoudi FA, Krumholz HM, Jiang L. Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project). The Lancet 2017, 390: 2549-2558. PMID: 29102084, DOI: 10.1016/s0140-6736(17)32478-9.Peer-Reviewed Original ResearchConceptsControl of hypertensionBlood pressureAntihypertensive medicationsCardiac Events Million Persons ProjectSelf-reported antihypertensive medication usePopulation-based screening studyPopulation-based screening projectMillion Persons ProjectPrescribed antihypertensive medicationsPrevious cardiovascular eventsAntihypertensive medication useDiastolic blood pressureSystolic blood pressureManagement of hypertensionCalcium channel blockersProportion of participantsSelf-reported diagnosisCommunity-dwelling adultsSex-standardised ratesCardiovascular eventsHypertensive adultsMedication classesHypertension awarenessHypertension prevalenceClinical factorsSex Differences in 1-Year All-Cause Rehospitalization in Patients After Acute Myocardial Infarction
Dreyer RP, Dharmarajan K, Kennedy KF, Jones PG, Vaccarino V, Murugiah K, Nuti SV, Smolderen KG, Buchanan DM, Spertus JA, Krumholz HM. Sex Differences in 1-Year All-Cause Rehospitalization in Patients After Acute Myocardial Infarction. Circulation 2017, 135: 521-531. PMID: 28153989, PMCID: PMC5312975, DOI: 10.1161/circulationaha.116.024993.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionAge-sex interactionHigh riskRehospitalization ratesClinical factorsMyocardial infarctionCox proportional hazards modelSignificant age-sex interactionCause rehospitalization rateSex differencesMedical record abstractionProportional hazards modelYears of ageFirst yearTRIUMPH studyCause rehospitalizationRecord abstractionPatient interviewsRehospitalizationUS CentersHazards modelPsychosocial factorsPhysician panelHealth statusPsychosocial state
2016
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
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
2014
Place of Residence and Outcomes of Patients With Heart Failure
Bikdeli B, Wayda B, Bao H, Ross JS, Xu X, Chaudhry SI, Spertus JA, Bernheim SM, Lindenauer PK, Krumholz HM. Place of Residence and Outcomes of Patients With Heart Failure. Circulation Cardiovascular Quality And Outcomes 2014, 7: 749-756. PMID: 25074375, PMCID: PMC5323058, DOI: 10.1161/circoutcomes.113.000911.Peer-Reviewed Original ResearchConceptsNeighborhood socioeconomic statusIndividual socioeconomic statusOutcomes of patientsHeart failureHigher SES neighborhoodsSocioeconomic statusClinical factorsHeart Failure Outcomes trialPrimary end pointPatient-level factorsUS internal medicineCause mortalityCause readmissionMultivariable adjustmentOutcome trialsMedical chartsPatient interviewsLow-SES neighborhoodsCardiology practiceMortality ratePatientsPlace of residenceInternal medicineReadmissionEnd pointHospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variationsHospital 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
Age and sex differences in inhospital complication rates and mortality after percutaneous coronary intervention procedures: Evidence from the NCDR®
Lichtman JH, Wang Y, Jones SB, Leifheit-Limson EC, Shaw LJ, Vaccarino V, Rumsfeld JS, Krumholz HM, Curtis JP. Age and sex differences in inhospital complication rates and mortality after percutaneous coronary intervention procedures: Evidence from the NCDR®. American Heart Journal 2013, 167: 376-383. PMID: 24576523, DOI: 10.1016/j.ahj.2013.11.001.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionComplication rateOlder womenPCI typeYoung womenInhospital mortalityMortality riskAge groupsElective percutaneous coronary interventionPercutaneous coronary intervention (PCI) proceduresInhospital complication rateRate of complicationsHigh complication rateRisk-adjusted analysisRisk-adjusted mortalityCoronary intervention proceduresUnadjusted complication rateSex-based differencesPCI patientsCathPCI RegistryCoronary interventionYounger patientsClinical factorsHospital admissionMore complications
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
2009
Choice of Reperfusion Strategy at Hospitals With Primary Percutaneous Coronary Intervention
Fazel R, Krumholz HM, Bates ER, French WJ, Frederick PD, Nallamothu BK. Choice of Reperfusion Strategy at Hospitals With Primary Percutaneous Coronary Intervention. Circulation 2009, 120: 2455-2461. PMID: 19948977, DOI: 10.1161/circulationaha.109.860544.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionElevation myocardial infarctionPCI-capable hospitalsPrimary PCIReperfusion strategyMyocardial infarctionFibrinolytic therapySystem-related factorsPercutaneous coronary intervention capabilityMyocardial Infarction (TIMI) risk scorePrimary percutaneous coronary interventionHierarchical multivariable logistic regressionKey clinical factorsPercutaneous coronary interventionMultivariable logistic regressionPCI useCardiogenic shockCoronary interventionClinical factorsIntracranial hemorrhageNonwhite raceNational registryRisk factorsAdvanced ageFemale genderRacial Differences in Survival After In-Hospital Cardiac Arrest
Chan PS, Nichol G, Krumholz HM, Spertus JA, Jones PG, Peterson ED, Rathore SS, Nallamothu BK, Investigators F. Racial Differences in Survival After In-Hospital Cardiac Arrest. JAMA 2009, 302: 1195-1201. PMID: 19755698, PMCID: PMC2795316, DOI: 10.1001/jama.2009.1340.Peer-Reviewed Original ResearchConceptsHospital cardiac arrestCardiac arrestBlack patientsWhite patientsSuccessful resuscitationPostresuscitation survivalRacial differencesHospital sitesIn-Hospital Cardiac ArrestLower ratesPulseless ventricular tachycardiaRate of survivalCohort studyHospital dischargePatient characteristicsClinical factorsImmediate resuscitationPostresuscitation periodNational registryVentricular tachycardiaHospital CenterVentricular fibrillationCardiopulmonary resuscitationAdditional adjustmentPatients
2007
Association Between Angina and Treatment Satisfaction after Myocardial Infarction
Plomondon ME, Magid DJ, Masoudi FA, Jones PG, Barry LC, Havranek E, Peterson ED, Krumholz HM, Spertus JA, Rumsfeld JS, for the PREMIER Investigators. Association Between Angina and Treatment Satisfaction after Myocardial Infarction. Journal Of General Internal Medicine 2007, 23: 1-6. PMID: 17955303, PMCID: PMC2173926, DOI: 10.1007/s11606-007-0430-y.Peer-Reviewed Original ResearchConceptsLower treatment satisfactionSeattle Angina QuestionnaireTreatment satisfactionMyocardial infarctionPresence of anginaResultsSixty-two percentQuality of carePersistent anginaAngina QuestionnaireClinical factorsMultivariable analysisMI patientsNew anginaUnadjusted analysesBackgroundPatient satisfactionAnginaMultivariable regressionTransient anginaU.S. CentersConclusionsIn conclusionPatientsMonthsInfarctionPossible targetsCareSocioeconomic 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
2006
Difficulty Taking Medications, Depression, and Health Status in Heart Failure Patients
Morgan AL, Masoudi FA, Havranek EP, Jones PG, Peterson PN, Krumholz HM, Spertus JA, Rumsfeld JS, Consortium F. Difficulty Taking Medications, Depression, and Health Status in Heart Failure Patients. Journal Of Cardiac Failure 2006, 12: 54-60. PMID: 16500581, DOI: 10.1016/j.cardfail.2005.08.004.Peer-Reviewed Original ResearchConceptsKansas City Cardiomyopathy QuestionnaireHeart failure outpatientsWorse health statusHealth statusDepressive symptomsMedication nonadherenceLeft ventricular ejection fractionPatient-reported difficultyHeart failure populationHeart failure patientsVentricular ejection fractionCross-sectional associationsMore depressive symptomsCoexistent depressionTaking MedicationsFailure patientsClinical factorsEjection fractionMedication adherenceDepression treatmentFailure populationMedical historyClinical evaluationMultivariable regressionMedications
2005
Anemia and Outcomes in Patients With Heart Failure: A Study From the National Heart Care Project
Kosiborod M, Curtis JP, Wang Y, Smith GL, Masoudi FA, Foody JM, Havranek EP, Krumholz HM. Anemia and Outcomes in Patients With Heart Failure: A Study From the National Heart Care Project. JAMA Internal Medicine 2005, 165: 2237-2244. PMID: 16246989, DOI: 10.1001/archinte.165.19.2237.Peer-Reviewed Original ResearchConceptsHeart failureLower hematocrit levelsIndependent predictorsHematocrit levelsComorbid illnessesHigh riskCare ProjectMultivariable logistic regression analysisPatients 65 yearsPrincipal discharge diagnosisAcute care hospitalsLogistic regression analysisLow hematocrit valuesCause mortalityHF patientsMultiple comorbiditiesMultivariable adjustmentOlder patientsCare hospitalClinical factorsHospital readmissionComorbid conditionsDischarge diagnosisSevere anemiaAdverse outcomes
2004
Differences, disparities, and biases: clarifying racial variations in health care use.
Rathore SS, Krumholz HM. Differences, disparities, and biases: clarifying racial variations in health care use. Annals Of Internal Medicine 2004, 141: 635-8. PMID: 15492343, DOI: 10.7326/0003-4819-141-8-200410190-00011.Peer-Reviewed Original ResearchConceptsHealth care useCare useRacial variationRacial differencesHealth care system factorsAdverse consequencesClinical factorsClinical contraindicationsTreatment eligibilityPatient preferencesObservational studyEvidence of differencesMedical literatureRacial disparitiesHealth careInitial reportSystem factorsDifferent causesTreatmentReports of variationReportDisparitiesContraindicationsDifferencesCare
2003
The prognostic importance of anemia in patients with heart failure
Kosiborod M, Smith GL, Radford MJ, Foody JM, Krumholz HM. The prognostic importance of anemia in patients with heart failure. The American Journal Of Medicine 2003, 114: 112-119. PMID: 12586230, DOI: 10.1016/s0002-9343(02)01498-5.Peer-Reviewed Original ResearchConceptsHeart failureLow hematocritHospital readmissionPrognostic importanceHematocrit levelsMultivariate Cox proportional hazards regressionLeft ventricular ejection fractionCox proportional hazards regressionTraditional risk factorsVentricular ejection fractionPrincipal discharge diagnosisProportional hazards regressionRisk of deathElderly patientsOlder patientsClinical factorsEjection fractionIndependent predictorsDischarge diagnosisHazards regressionMedian hematocritPrognostic valueMean ageTreatable conditionRisk factors