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
2022
Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States
Wang Y, Eldridge N, Metersky ML, Rodrick D, Faniel C, Eckenrode S, Mathew J, Galusha DH, Tasimi A, Ho SY, Jaser L, Peterson A, Normand ST, Krumholz HM. Analysis of Hospital-Level Readmission Rates and Variation in Adverse Events Among Patients With Pneumonia in the United States. JAMA Network Open 2022, 5: e2214586. PMID: 35639379, PMCID: PMC9157270, DOI: 10.1001/jamanetworkopen.2022.14586.Peer-Reviewed Original ResearchConceptsRisk-standardized readmission ratesMedicare Patient Safety Monitoring SystemCause readmission rateAdverse eventsReadmission ratesHigh riskHospital-level readmission ratesHigher patient riskHospital adverse eventsAdverse event dataCross-sectional studyHospital performanceIndex hospitalizationMedian ageHospital characteristicsMedical recordsReadmission dataPatient riskHospital careMAIN OUTCOMEPneumoniaHospital levelPatientsReadmissionGreater risk
2021
Association of Cardiac Care Regionalization With Access, Treatment, and Mortality Among Patients With ST-Segment Elevation Myocardial Infarction
Shen YC, Krumholz H, Hsia RY. Association of Cardiac Care Regionalization With Access, Treatment, and Mortality Among Patients With ST-Segment Elevation Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007195. PMID: 33641339, PMCID: PMC7969448, DOI: 10.1161/circoutcomes.120.007195.Peer-Reviewed Original ResearchConceptsPercutaneous coronary interventionST-segment elevation myocardial infarction (STEMI) systemsSame-day percutaneous coronary interventionST-segment elevation myocardial infarctionSTEMI regionalizationLong-term mortalityOutcomes of patientsElevation myocardial infarctionPCI-capable hospitalsEmergency medical services agenciesMyocardial infarction systemLocal emergency medical services agenciesPoints greater reductionPercentage point decreasePCI capabilityCoronary interventionMyocardial infarctionAdministrative databasesPatientsSTEMIPoint decreaseMortalityTimely accessReadmissionGreater reduction
2020
Frequency, trends and institutional variation in 30‐day all‐cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand
Labrosciano C, Horton D, Air T, Tavella R, Beltrame JF, Zeitz CJ, Krumholz HM, Adams R, Scott IA, Gallagher M, Hossain S, Hariharaputhiran S, Ranasinghe I. Frequency, trends and institutional variation in 30‐day all‐cause mortality and unplanned readmissions following hospitalisation for heart failure in Australia and New Zealand. European Journal Of Heart Failure 2020, 23: 31-40. PMID: 33094886, DOI: 10.1002/ejhf.2030.Peer-Reviewed Original ResearchConceptsHF hospitalisationUnplanned readmissionReadmission ratesHeart failure hospitalisationUnplanned readmission rateMortality cohortReadmission cohortCause mortalityHeart failurePrimary outcomeHospitalisationReadmissionSeparate cohortMortality rateHospitalPatientsMortalityCare qualityPrivate hospitalsStudy periodCohortModest declineNational averageOutcomesDaysTimely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data
Li SX, Wang Y, Lama SD, Schwartz J, Herrin J, Mei H, Lin Z, Bernheim SM, Spivack S, Krumholz HM, Suter LG. Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data. BMC Health Services Research 2020, 20: 733. PMID: 32778098, PMCID: PMC7416804, DOI: 10.1186/s12913-020-05611-w.Peer-Reviewed Original ResearchReadmission 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
Usefulness of Social Support in Older Adults After Hospitalization for Acute Myocardial Infarction (from the SILVER-AMI Study)
Green YS, Hajduk AM, Song X, Krumholz HM, Sinha SK, Chaudhry SI. Usefulness of Social Support in Older Adults After Hospitalization for Acute Myocardial Infarction (from the SILVER-AMI Study). The American Journal Of Cardiology 2019, 125: 313-319. PMID: 31787249, PMCID: PMC7003680, DOI: 10.1016/j.amjcard.2019.10.038.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPost-AMI outcomesMyocardial infarctionIndependent associationMedical Outcomes Study Social Support SurveySocial supportOlder AMI patientsSocial Support SurveyParticipants 75 yearsLow emotional supportLow social supportImportant social determinantInitial hospitalizationOlder patientsDevelopment of interventionsAMI patientsMultivariable analysisMean ageMultivariable regressionHealth outcomesSupport SurveyInformational supportReadmissionSocial determinantsOlder adultsPulmonary Embolism Hospitalization, Readmission, and Mortality Rates in US Older Adults, 1999-2015
Bikdeli B, Wang Y, Jimenez D, Parikh SA, Monreal M, Goldhaber SZ, Krumholz HM. Pulmonary Embolism Hospitalization, Readmission, and Mortality Rates in US Older Adults, 1999-2015. JAMA 2019, 322: 574-576. PMID: 31408124, PMCID: PMC6692667, DOI: 10.1001/jama.2019.8594.Peer-Reviewed Original ResearchEvaluation 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
Trends in 30-Day Readmission Rates for Medicare and Non-Medicare Patients in the Era of the Affordable Care Act
Angraal S, Khera R, Zhou S, Wang Y, Lin Z, Dharmarajan K, Desai NR, Bernheim SM, Drye EE, Nasir K, Horwitz LI, Krumholz HM. Trends in 30-Day Readmission Rates for Medicare and Non-Medicare Patients in the Era of the Affordable Care Act. The American Journal Of Medicine 2018, 131: 1324-1331.e14. PMID: 30016636, PMCID: PMC6380174, DOI: 10.1016/j.amjmed.2018.06.013.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramReadmission ratesAcute myocardial infarctionHeart failurePatient groupMyocardial infarctionCause readmission rateNationwide Readmissions DatabaseReadmissions Reduction ProgramNon-Medicare patientsNon-target conditionsLower readmissionAffordable Care ActMedicare beneficiariesAge groupsPrivate insuranceCare ActPneumoniaInfarctionPatientsReduction programsMedicareGroupReadmissionFailureAssociation of the Hospital Readmissions Reduction Program With Mortality During and After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia
Khera R, Dharmarajan K, Wang Y, Lin Z, Bernheim SM, Wang Y, Normand ST, Krumholz HM. Association of the Hospital Readmissions Reduction Program With Mortality During and After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia. JAMA Network Open 2018, 1: e182777. PMID: 30646181, PMCID: PMC6324473, DOI: 10.1001/jamanetworkopen.2018.2777.Peer-Reviewed Original ResearchConceptsHospital Readmissions Reduction ProgramAcute myocardial infarctionPostdischarge mortalityHeart failureHRRP announcementReadmissions Reduction ProgramMedicare beneficiariesRisk-adjusted ratesMyocardial infarctionService Medicare beneficiariesReduction programsInterrupted time series frameworkHospital mortalityReduced readmissionsCohort studyPneumonia hospitalizationsReadmission ratesMAIN OUTCOMEPneumoniaMedicare dataHospitalizationHospitalMortalityReadmissionConcomitant harmPrediction of ICU Readmissions Using Data at Patient Discharge
Pakbin A, Rafi P, Hurley N, Schulz W, Krumholz M, Mortazavi J. Prediction of ICU Readmissions Using Data at Patient Discharge. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2018, 00: 4932-4935. PMID: 30441449, DOI: 10.1109/embc.2018.8513181.Peer-Reviewed Original ResearchConceptsICU readmissionHigher health care costsSame hospital admissionElectronic health record dataPoor patient outcomesHealth record dataLong-term riskHealth care costsICU dischargeUnplanned readmissionHospital admissionPatient dischargePatient outcomesICU casesClinical careReadmissionCare costsRecord dataReply to Soo Hoo and Esquinas: Risk Trajectories of Readmission and Death in the First Year after Hospitalization for Chronic Obstructive Pulmonary Disease: Don’t Shortchange Noninvasive Ventilation
Lindenauer PK, Dharmarajan K, Krumholz HM. Reply to Soo Hoo and Esquinas: Risk Trajectories of Readmission and Death in the First Year after Hospitalization for Chronic Obstructive Pulmonary Disease: Don’t Shortchange Noninvasive Ventilation. American Journal Of Respiratory And Critical Care Medicine 2018, 198: 283-284. PMID: 29566340, PMCID: PMC6058983, DOI: 10.1164/rccm.201803-0426le.Peer-Reviewed Original Research
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 outcomesAssociations between nursing home performance and hospital 30‐day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States
Pandolfi MM, Wang Y, Spenard A, Johnson F, Bonner A, Ho S, Elwell T, Bakullari A, Galusha D, Leifheit‐Limson E, Lichtman JH, Krumholz HM. Associations between nursing home performance and hospital 30‐day readmissions for acute myocardial infarction, heart failure and pneumonia at the healthcare community level in the United States. International Journal Of Older People Nursing 2017, 12 PMID: 28516505, DOI: 10.1111/opn.12154.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionReadmission ratesHeart failureNursing homesService patientsMyocardial infarctionMedicare feeLower hospital readmission ratesHospital readmission ratesNurse staffing measuresAcute care hospitalsCross-sectional studyHospital service areasFive-Star Quality Rating SystemNursing home performanceUnplanned readmissionCare hospitalReadmission dataCommunity-based service providersCare teamMedicare patientsReadmissionStaffing measuresPatientsPneumonia
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 ResearchCommunity-Level Association Between Home Health and Nursing Home Performance on Quality and Hospital 30-Day Readmissions for Medicare Patients
Wang Y, Pandolfi MM, Fine J, Metersky ML, Wang C, Ho SY, Galusha D, Nuti SV, Murugiah K, Spenard A, Elwell T, Krumholz HM. Community-Level Association Between Home Health and Nursing Home Performance on Quality and Hospital 30-Day Readmissions for Medicare Patients. Home Health Care Management & Practice 2016, 28: 201-208. PMID: 27974869, PMCID: PMC5152769, DOI: 10.1177/1084822316639032.Peer-Reviewed Original ResearchRisk-standardized readmission ratesHome health agenciesReadmission ratesMedicare patientsHealth agenciesCommunity level hospitalCommunity-level associationsNursing home performanceHome healthNursing homesPatientsMedicaid ServicesHospitalMixed effects modelsHealth performanceEffects modelHome performanceFinal sampleReadmissionSlow 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
Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012
Murugiah K, Wang Y, Desai NR, Spatz ES, Nuti SV, Dreyer RP, Krumholz HM. Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012. JACC Heart Failure 2015, 4: 197-205. PMID: 26746377, PMCID: PMC5323042, DOI: 10.1016/j.jchf.2015.09.013.Peer-Reviewed Original ResearchConceptsLong-term outcomesReadmission ratesNonwhite patientsHospitalization ratesSecondary diagnosisMedicare feeYears of ageTakotsubo cardiomyopathyWorse outcomesWhite racePatientsService beneficiariesHospitalMortalityTime pointsOutcomesHospitalizationCohortDiagnosisRepresentative dataTakotsuboTTCReadmissionCardiomyopathyYearsDevelopment and Validation of an Algorithm to Identify Planned Readmissions From Claims Data
Horwitz LI, Grady JN, Cohen DB, Lin Z, Volpe M, Ngo CK, Masica AL, Long T, Wang J, Keenan M, Montague J, Suter LG, Ross JS, Drye EE, Krumholz HM, Bernheim SM. Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data. Journal Of Hospital Medicine 2015, 10: 670-677. PMID: 26149225, PMCID: PMC5459369, DOI: 10.1002/jhm.2416.Peer-Reviewed Original ResearchConceptsSame-hospital readmissionsNegative predictive valuePositive predictive valuePredictive valueReadmission measuresHospital-wide readmission measureGold standard chart reviewAdministrative claims-based algorithmDiagnostic cardiac catheterizationClaims-based algorithmLarge teaching centersAcute care hospitalsSmall community hospitalUnplanned readmissionChart reviewCardiac catheterizationScheduled careSpecificity 96.5Community hospitalReadmissionClaims dataCardiac devicesHealth systemTeaching centerPublic reporting