2024
Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction.
Zhu C, Dreyer R, Li F, Spatz E, Caraballo C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Association of marital/partner status with hospital readmission among young adults with acute myocardial infarction. PLOS ONE 2024, 19: e0287949. PMID: 38277368, PMCID: PMC10817183, DOI: 10.1371/journal.pone.0287949.Peer-Reviewed Original ResearchConceptsMarital/partner statusPsychosocial factorsAcute myocardial infarctionYoung adultsHospital dischargeYear of hospital dischargeYoung acute myocardial infarctionAssociated with 1.3-foldCohort of young adultsLong-term readmissionCox proportional hazards modelsStatus interactionSimilar-aged menMyocardial infarctionProportional hazards modelUnpartnered statusPatient interviewsPhysician panelCardiovascular healthHospital readmissionSocioeconomic factorsAMI survivorsSequential adjustmentCardiac readmissionMultiple imputation
2023
In-Hospital Observation on Oral Diuretics After Treatment for Acute Decompensated Heart Failure: Evaluating the Utility
Ivey-Miranda J, Rao V, Cox Z, Moreno-Villagomez J, Mahoney D, Maulion C, Bellumkonda L, Turner J, Collins S, Wilson F, Krumholz H, Testani J. In-Hospital Observation on Oral Diuretics After Treatment for Acute Decompensated Heart Failure: Evaluating the Utility. Circulation Heart Failure 2023, 16: e010206. PMID: 36896716, PMCID: PMC10186250, DOI: 10.1161/circheartfailure.122.010206.Peer-Reviewed Original ResearchConceptsAcute decompensated heart failureDecompensated heart failureDiuretic responseDiuretic dosingOral diureticsHeart failureMulticenter cohortHospital observationLower readmission ratesNet fluid balanceDays postdischargeReadmission ratesHospital readmissionUrine outputReadmission riskFluid statusFluid balanceHospital measuresDose selectionCohortProvider decisionsWeight changeReadmissionDiureticsPatients
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 detailsReadmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure
Ko DT, Khera R, Lau G, Qiu F, Wang Y, Austin PC, Koh M, Lin Z, Lee DS, Wijeysundera HC, Krumholz HM. Readmission and Mortality After Hospitalization for Myocardial Infarction and Heart Failure. Journal Of The American College Of Cardiology 2020, 75: 736-746. PMID: 32081282, DOI: 10.1016/j.jacc.2019.12.026.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-discharge mortalityHospital mortalityReadmission ratesHospitalization ratesMyocardial infarctionMortality rateRisk-adjusted mortality ratesHospital Readmissions Reduction ProgramHF hospitalization ratesHeart failure hospitalizationPatients 65 yearsReadmissions Reduction ProgramFailure hospitalizationHF patientsSecondary outcomesHospital readmissionPrimary outcomeReadmissionMortalityAMI hospitalization ratesStudy periodPattern of outcomesHospitalizationOutcomes
2019
P415330-Day readmission after hospitalization for heart failure in china
Li J, Bai X, Zhang L, Masoudi F, Spertus J, Krumholz H. P415330-Day readmission after hospitalization for heart failure in china. European Heart Journal 2019, 40: ehz745.0725. DOI: 10.1093/eurheartj/ehz745.0725.Peer-Reviewed Original ResearchDays of dischargeHeart failurePatient characteristicsMedian odds ratioOdds ratioChronic obstructive pulmonary diseaseIndex hospital stayObstructive pulmonary diseaseWeeks of dischargeValvular heart diseaseTransitions of careHF hospitalizationRandom hospitalsCause readmissionEligible patientsHospital stayHospitalization stayReadmission diagnosesReadmission ratesConsecutive patientsHospital readmissionMedian agePulmonary diseasePatient factorsC-statisticEvaluation of 30-Day Hospital Readmission and Mortality Rates Using Regression-Discontinuity Framework
Khera R, Wang Y, Nasir K, Lin Z, Krumholz HM. Evaluation of 30-Day Hospital Readmission and Mortality Rates Using Regression-Discontinuity Framework. Journal Of The American College Of Cardiology 2019, 74: 219-234. PMID: 31296295, PMCID: PMC8669780, DOI: 10.1016/j.jacc.2019.04.060.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHospital Readmissions Reduction ProgramHeart failureReadmission ratesElderly Medicare feeMedian readmission rateReadmissions Reduction ProgramPost-discharge daysInstitution of strategiesHospital readmissionReadmission riskMyocardial infarctionReadmission reductionCardiovascular conditionsEligible hospitalsMedicare feeReadmission penaltiesMortality rateDay 1Day 30ReadmissionDay 60HospitalU.S. hospitalsHospitalization
2018
Is Posthospital Syndrome a Result of Hospitalization-Induced Allostatic Overload?
Goldwater DS, Dharmarajan K, McEwan BS, Krumholz HM. Is Posthospital Syndrome a Result of Hospitalization-Induced Allostatic Overload? Journal Of Hospital Medicine 2018, 13 PMID: 29813141, DOI: 10.12788/jhm.2986.Peer-Reviewed Original ResearchConceptsPosthospital syndromeAllostatic overloadAutonomic nervous systemMultiple organ systemsHospital dischargeInflammatory markersAdverse eventsHospital readmissionAdrenal axisAdverse outcomesPlausible etiologyPathophysiologic consequencesElevated riskNervous systemNarrative reviewOrgan systemsEnhanced vulnerabilityElevated levelsHospital environmentTraditional hospital environmentSyndromeMaladaptive statesOverloadOutcomesPossible mechanism
2017
Risk Trajectories of Readmission and Death in the First Year after Hospitalization for Chronic Obstructive Pulmonary Disease
Lindenauer PK, Dharmarajan K, Qin L, Lin Z, Gershon AS, Krumholz HM. Risk Trajectories of Readmission and Death in the First Year after Hospitalization for Chronic Obstructive Pulmonary Disease. American Journal Of Respiratory And Critical Care Medicine 2017, 197: 1009-1017. PMID: 29206052, PMCID: PMC5909167, DOI: 10.1164/rccm.201709-1852oc.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseSame respective groupsObstructive pulmonary diseaseVentilator supportPulmonary diseaseRisk of readmissionRisk of hospitalizationGeneral elderly populationGeneral Medicare populationRisk of deathDaily riskRespective groupsReadmission ratesHospital readmissionAbsolute riskMedicare populationReadmissionElderly populationMedicare beneficiariesHospitalizationClinical servicesFirst monthProlonged riskDeathLongitudinal outcomesAssociation of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge
Dharmarajan K, Wang Y, Lin Z, Normand ST, Ross JS, Horwitz LI, Desai NR, Suter LG, Drye EE, Bernheim SM, Krumholz HM. Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge. JAMA 2017, 318: 270-278. PMID: 28719692, PMCID: PMC5817448, DOI: 10.1001/jama.2017.8444.Peer-Reviewed Original ResearchConceptsRisk-adjusted readmission ratesRisk-adjusted mortality ratesAcute myocardial infarctionHeart failureReadmission ratesMortality rateMyocardial infarctionMedicare feeService beneficiariesHospital readmission ratesMean hospitalHospital mortalityPostdischarge mortalityHospital dischargeHospital readmissionRetrospective studyAffordable Care ActReadmission reductionMAIN OUTCOMEPneumoniaHospitalSecondary analysisWeighted Pearson correlation coefficientMortalityCare ActHospital 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
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
2015
National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010
Dodson JA, Wang Y, Murugiah K, Dharmarajan K, Cooper Z, Hashim S, Nuti SV, Spatz E, Desai N, Krumholz HM. National Trends in Hospital Readmission Rates among Medicare Fee-for-Service Survivors of Mitral Valve Surgery, 1999–2010. PLOS ONE 2015, 10: e0132470. PMID: 26147225, PMCID: PMC4493110, DOI: 10.1371/journal.pone.0132470.Peer-Reviewed Original ResearchConceptsMitral valve surgeryLength of stayHospital LOSReadmission ratesHospital readmission ratesOlder patientsHospital readmissionMedicare feeMean hospital LOSSurvival rateProportional hazards regressionYears of ageValve surgeryHazards regressionService patientsWorse outcomesAge subgroupsPatientsOlder adultsSurvivorsNational trendsReadmissionModest declineWomenSubgroups
2014
Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study
Dodson JA, Geda M, Krumholz HM, Lorenze N, Murphy TE, Allore HG, Charpentier P, Tsang SW, Acampora D, Tinetti ME, Gill TM, Chaudhry SI. Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study. BMC Health Services Research 2014, 14: 506. PMID: 25370536, PMCID: PMC4239317, DOI: 10.1186/s12913-014-0506-4.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHealth status declineOlder patientsRisk factorsGeriatric impairmentsHospital readmissionOlder adultsDetailed medical record abstractionStatus declineDiagnostic study resultsPost-AMI outcomesProportion of patientsProspective cohort studyMedical record abstractionAMI studyHealth status measuresClinical characteristicsCohort studyRecord abstractionAdverse outcomesMyocardial infarctionAcademic hospitalHospital assessmentMultivariable regressionStatus measures
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 useCollaborativesPatientsSTAARHospital-Based, Acute Care Use Among Patients Within 30 Days of Discharge After Coronary Artery Bypass Surgery
Fox JP, Suter LG, Wang K, Wang Y, Krumholz HM, Ross JS. Hospital-Based, Acute Care Use Among Patients Within 30 Days of Discharge After Coronary Artery Bypass Surgery. The Annals Of Thoracic Surgery 2013, 96: 96-104. PMID: 23702228, PMCID: PMC3758868, DOI: 10.1016/j.athoracsur.2013.03.091.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCaliforniaCoronary Artery BypassCoronary Artery DiseaseEmergency Service, HospitalFemaleFollow-Up StudiesHumansIntensive Care UnitsLength of StayLinear ModelsMaleMiddle AgedMorbidityPatient DischargePatient ReadmissionPostoperative ComplicationsPostoperative PeriodPrognosisRecurrenceRetrospective StudiesRisk FactorsSurvival RateTime FactorsYoung AdultConceptsDays of dischargeAcute care needsCABG surgeryED visit ratesED visitsHospital readmissionReadmission ratesCare needsCoronary artery bypass graft surgeryVisit ratesArtery bypass graft surgeryCoronary artery bypass surgeryRisk-standardized readmission ratesAcute care ratesHospital 30 daysBypass graft surgeryAcute care useArtery bypass surgeryCongestive heart failureEmergency department visitsEmergency Department DatabasesChest discomfortGraft surgeryBypass surgeryHospital volumeRelationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Krumholz HM, Lin Z, Keenan PS, Chen J, Ross JS, Drye EE, Bernheim SM, Wang Y, Bradley EH, Han LF, Normand SL. Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2013, 309: 587-593. PMID: 23403683, PMCID: PMC3621028, DOI: 10.1001/jama.2013.333.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionRisk-standardized readmission ratesHospital risk-standardized mortality ratesHeart failureMyocardial infarctionHospital characteristicsMortality rateReadmission ratesProportion of hospitalsHospital readmissionMedicare feePneumoniaInfarctionService beneficiariesHospitalPatientsMedicaid ServicesHospital performanceSubgroupsFailureCauseReadmissionSignificant negative linear relationship
2011
30-Day Readmission for Patients Undergoing Percutaneous Coronary Interventions in New York State
Hannan EL, Zhong Y, Krumholz H, Walford G, Holmes DR, Stamato NJ, Jacobs AK, Venditti FJ, Sharma S, King SB. 30-Day Readmission for Patients Undergoing Percutaneous Coronary Interventions in New York State. JACC Cardiovascular Interventions 2011, 4: 1335-1342. PMID: 22192374, DOI: 10.1016/j.jcin.2011.08.013.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionReadmission ratesUnique risk factorsRisk factorsCoronary interventionAdministrative databasesComplications of PCIPre-procedural risk factorsRepeat percutaneous coronary interventionChronic ischemic heart diseaseOverall readmission rateHigher readmission ratesIschemic heart diseaseLength of stayNew York State patientsRecognition of patientsDiagnostic risk factorsCost-effectiveness standpointPCI patientsPCI registryChest painHeart failureHospital readmissionHeart diseasePrincipal diagnosis
2010
Is Same-Hospital Readmission Rate a Good Surrogate for All-Hospital Readmission Rate?
Nasir K, Lin Z, Bueno H, Normand SL, Drye EE, Keenan PS, Krumholz HM. Is Same-Hospital Readmission Rate a Good Surrogate for All-Hospital Readmission Rate? Medical Care 2010, 48: 477-481. PMID: 20393366, DOI: 10.1097/mlr.0b013e3181d5fb24.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesHospital readmission ratesSame-hospital readmissionsSame-hospital readmission ratesDays of dischargeReadmission ratesHeart failureUS acute care hospitalsThirty-day readmissionStandard Analytic FilesAcute care hospitalsHierarchical logistic regression modelsLogistic regression modelsCause readmissionHF readmissionIndex hospitalizationCare hospitalHospital readmissionAnalytic FilesMedicare inpatientReadmissionStudy populationHospital measuresReadmission measuresHospitalization
2009
What Works In Chronic Care Management: The Case Of Heart Failure
Sochalski J, Jaarsma T, Krumholz HM, Laramee A, McMurray JJ, Naylor MD, Rich MW, Riegel B, Stewart S. What Works In Chronic Care Management: The Case Of Heart Failure. Health Affairs 2009, 28: 179-189. PMID: 19124869, DOI: 10.1377/hlthaff.28.1.179.Peer-Reviewed Original ResearchConceptsCare management programChronic care managementCare managementChronic care management programEvidence baseRoutine care patientsRandomized clinical trialsReadmission daysCare patientsHeart failureHospital readmissionClinical trialsPatient outcomesMulti-disciplinary teamHealth plansProgram delivery methodsPatientsImportant guidepostsManagement programDelivery methodsReadmissionTrials
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 outcome