2024
Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic
Faust J, Renton B, Bongiovanni T, Chen A, Sheares K, Du C, Essien U, Fuentes-Afflick E, Haywood T, Khera R, King T, Li S, Lin Z, Lu Y, Marshall A, Ndumele C, Opara I, Loarte-Rodriguez T, Sawano M, Taparra K, Taylor H, Watson K, Yancy C, Krumholz H. Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic. JAMA Network Open 2024, 7: e2438918. PMID: 39392630, DOI: 10.1001/jamanetworkopen.2024.38918.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyNon-HispanicPublic health emergencyOther Pacific IslanderExcess mortalityAlaska NativesUS populationExcess deathsRates of excess mortalityCross-sectional study analyzed dataYears of potential lifeMortality relative riskNon-Hispanic whitesCross-sectional studyPacific IslandersStudy analyzed dataAll-cause mortalityEthnic groupsMortality disparitiesMortality ratioTotal populationDeath certificatesEthnic disparitiesMain OutcomesDecedent agePre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality
Peter D, Li S, Wang Y, Zhang J, Grady J, McDowell K, Norton E, Lin Z, Bernheim S, Venkatesh A, Fleisher L, Schreiber M, Suter L, Triche E. Pre-COVID-19 hospital quality and hospital response to COVID-19: examining associations between risk-adjusted mortality for patients hospitalised with COVID-19 and pre-COVID-19 hospital quality. BMJ Open 2024, 14: e077394. PMID: 38553067, PMCID: PMC10982775, DOI: 10.1136/bmjopen-2023-077394.Peer-Reviewed Original ResearchMeSH KeywordsAgedCOVID-19Hospital MortalityHospitalsHumansMedicarePandemicsRetrospective StudiesUnited StatesConceptsHospital qualityPatient experiencePre-COVID-19Medicare patientsShort-term acute care hospitalsCritical access hospitalsAcute care hospitalsFuture public health emergenciesHigher odds of mortalityIn-hospitalRisk-adjusted mortalityOdds of mortalityCare deliveryAccess hospitalsEffective careCOVID-19-related deathsAssociated with mortalityCare structuresHospital characteristicsPublic health emergencySummary scoreMedicare beneficiariesHigher oddsHospital responseRSMRs
2021
Disparities in Excess Mortality Associated with COVID-19 — United States, 2020
Rossen LM, Ahmad FB, Anderson RN, Branum AM, Du C, Krumholz HM, Li SX, Lin Z, Marshall A, Sutton PD, Faust JS. Disparities in Excess Mortality Associated with COVID-19 — United States, 2020. MMWR Morbidity And Mortality Weekly Report 2021, 70: 1114-1119. PMID: 34411075, PMCID: PMC8375709, DOI: 10.15585/mmwr.mm7033a2.Peer-Reviewed Original ResearchConceptsMortality incidence ratesIncidence rateExcess mortalityAge groupsHighest excess mortality ratesExcess Mortality AssociatedGreater excess mortalityExcess mortality ratesAI/AN populationsNon-Hispanic American IndianNon-Hispanic blacksNational Vital Statistics SystemCOVID-19 pandemicPublic health messagingNon-Hispanic white populationRace/ethnicityVital Statistics SystemMortality AssociatedLack of adjustmentMortality rateExcess deathsAN populationsEthnic groupsHealth messagingHispanic personsMortality From Drug Overdoses, Homicides, Unintentional Injuries, Motor Vehicle Crashes, and Suicides During the Pandemic, March-August 2020
Faust JS, Du C, Mayes KD, Li SX, Lin Z, Barnett ML, Krumholz HM. Mortality From Drug Overdoses, Homicides, Unintentional Injuries, Motor Vehicle Crashes, and Suicides During the Pandemic, March-August 2020. JAMA 2021, 326: 84-86. PMID: 34019096, PMCID: PMC8140390, DOI: 10.1001/jama.2021.8012.Peer-Reviewed Original ResearchMeSH KeywordsAccidents, TrafficCause of DeathCOVID-19Drug OverdoseHomicideHumansSuicideUnited StatesWounds and InjuriesIncorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models
Triche EW, Xin X, Stackland S, Purvis D, Harris A, Yu H, Grady JN, Li SX, Bernheim SM, Krumholz HM, Poyer J, Dorsey K. Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models. JAMA Network Open 2021, 4: e218512. PMID: 33978722, PMCID: PMC8116982, DOI: 10.1001/jamanetworkopen.2021.8512.Peer-Reviewed Original ResearchConceptsPOA indicatorRisk factorsOutcome measuresQuality outcome measuresRisk-adjustment modelsClaims dataAdmission indicatorsPatient risk factorsAcute myocardial infarctionPatient-level outcomesAdministrative claims dataQuality improvement studyClaims-based measuresComparative effectiveness studiesPatient claims dataInternational Statistical ClassificationMortality outcome measuresRelated Health ProblemsHospital quality measuresRisk model performanceHospital stayIndex admissionCare algorithmHeart failureMortality outcomes
2020
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
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 Research
2019
Substantial Differences Between Cohorts of Patients Hospitalized With Heart Failure in Canada and the United States
Lin Z, Li SX. Substantial Differences Between Cohorts of Patients Hospitalized With Heart Failure in Canada and the United States. JAMA Cardiology 2019, 4: 1178-1179. PMID: 31532467, DOI: 10.1001/jamacardio.2019.3314.Peer-Reviewed Original ResearchMore Considerations on Both Model Assumptions and Results Interpretations—Evaluating Readmission
Du C, Zhou G, Li SX. More Considerations on Both Model Assumptions and Results Interpretations—Evaluating Readmission. JAMA Internal Medicine 2019, 179: 1599-1599. PMID: 31682690, DOI: 10.1001/jamainternmed.2019.4688.Peer-Reviewed Original ResearchDevelopment and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data
Krumholz HM, Warner F, Coppi A, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Desai NR, Lin Z, Normand ST. Development and Testing of Improved Models to Predict Payment Using Centers for Medicare & Medicaid Services Claims Data. JAMA Network Open 2019, 2: e198406. PMID: 31411709, PMCID: PMC6694388, DOI: 10.1001/jamanetworkopen.2019.8406.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionHeart failurePopulation-based programsPOA codesSingle diagnostic codeDiagnostic codesComparative effectiveness research studyPublic reportingIndex admission diagnosisDays of hospitalizationClinical Modification codesService claims dataAcute care hospitalsMultiple care settingsPatient-level modelsAdmission diagnosisTotal hospitalizationsCare hospitalPrevious diagnosisNinth RevisionMyocardial infarctionCandidate variablesCare settingsClaims dataMAIN OUTCOMEComparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data
Krumholz HM, Coppi AC, Warner F, Triche EW, Li SX, Mahajan S, Li Y, Bernheim SM, Grady J, Dorsey K, Lin Z, Normand ST. Comparative Effectiveness of New Approaches to Improve Mortality Risk Models From Medicare Claims Data. JAMA Network Open 2019, 2: e197314. PMID: 31314120, PMCID: PMC6647547, DOI: 10.1001/jamanetworkopen.2019.7314.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionICD-9-CM codesMortality risk modelHeart failureHospital admissionC-statisticMAIN OUTCOMEMortality rateRisk-standardized mortality ratesHospital risk-standardized mortality ratesIndex admission diagnosisPatients 65 yearsDays of hospitalizationComparative effectiveness studiesClaims-based dataHospital-level performance measuresMedicare claims dataPatient-level modelsCMS modelRisk-adjustment modelsRisk modelHospital performance measuresAdmission diagnosisNinth RevisionMyocardial infarctionAssociation Between Insurance Status and Access to Hospital Care in Emergency Department Disposition
Venkatesh AK, Chou SC, Li SX, Choi J, Ross JS, D’Onofrio G, Krumholz HM, Dharmarajan K. Association Between Insurance Status and Access to Hospital Care in Emergency Department Disposition. JAMA Internal Medicine 2019, 179: 686-693. PMID: 30933243, PMCID: PMC6503571, DOI: 10.1001/jamainternmed.2019.0037.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsthmaCritical CareCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHealth Services AccessibilityHospitalizationHumansInsurance CoverageInsurance, HealthLung DiseasesMaleMedicaidMedically UninsuredMiddle AgedPatient DischargePatient TransferPneumoniaPulmonary Disease, Chronic ObstructiveUnited StatesConceptsNational Emergency Department SampleEmergency Department SampleCommon medical conditionsUninsured patientsCritical care capabilitiesED dischargeED visitsED transfersPulmonary diseaseCare capabilitiesInsurance statusHigher oddsMedicaid beneficiariesMedical conditionsChronic obstructive pulmonary diseaseAcute pulmonary diseaseEmergency department transfersAdult ED visitsHospital admission ratesObstructive pulmonary diseaseEmergency department dispositionPatient insurance statusPatient case mixHospital ownership statusIntensive care capabilitiesAssociation of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study
Nuti SV, Li SX, Xu X, Ott LS, Lagu T, Desai NR, Murugiah K, Duan M, Martin J, Kim N, Krumholz HM. Association of in-hospital resource utilization with post-acute spending in Medicare beneficiaries hospitalized for acute myocardial infarction: a cross-sectional study. BMC Health Services Research 2019, 19: 190. PMID: 30909904, PMCID: PMC6432744, DOI: 10.1186/s12913-019-4018-0.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionPost-acute care costsPost-acute care utilizationOverall episode costsPremier Healthcare DatabaseHospital resource utilizationStudy of patientsCross-sectional studyGreater resource utilizationPost-acute periodHigh cost tertilesHigh-cost hospitalsHospital meanResultsAmong patientsReadmission ratesCare utilizationHospitalization costsEpisode costsMedicare feeTertileMedicare beneficiariesMortality rateHealthcare databasesService beneficiaries
2018
Quantifying the utilization of medical devices necessary to detect postmarket safety differences: A case study of implantable cardioverter defibrillators
Bates J, Parzynski CS, Dhruva SS, Coppi A, Kuntz R, Li S, Marinac‐Dabic D, Masoudi FA, Shaw RE, Warner F, Krumholz HM, Ross JS. Quantifying the utilization of medical devices necessary to detect postmarket safety differences: A case study of implantable cardioverter defibrillators. Pharmacoepidemiology And Drug Safety 2018, 27: 848-856. PMID: 29896873, PMCID: PMC6436550, DOI: 10.1002/pds.4565.Peer-Reviewed Original ResearchConceptsAdverse event ratesSafety differencesEvent ratesMedical device utilizationICD utilizationRate ratioNational Cardiovascular Data RegistryICD modelsImplantable cardioverter defibrillatorEvent rate ratioMost patientsCardioverter defibrillatorProportion of individualsAmerican CollegeData registryRoutine surveillanceSample size estimatesAverage event rateDevice utilizationSignificance levelDifferencesPatientsRegistryDefibrillatorICD
2016
Identification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data
Chang TE, Krumholz HM, Li S, Martin J, Ranasinghe I. Identification of Hospital Cardiac Services for Acute Myocardial Infarction Using Individual Patient Discharge Data. Journal Of The American Heart Association 2016, 5: e003680. PMID: 27628573, PMCID: PMC5079029, DOI: 10.1161/jaha.116.003680.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPatient discharge dataCardiac servicesMyocardial infarctionAmerican Heart Association/American CollegePremier Healthcare DatabaseCurrent Procedural Terminology codesProcedural Terminology codesAmerican Hospital Association Annual SurveyDischarge dataPremier hospitalsCardiology guidelinesNinth RevisionAMI careInpatient careClinical ModificationAmerican CollegeTerminology codesInternational ClassificationHealthcare databasesCare variesCare processesHospitalHospital servicesPremier databaseTreatment for Multiple Acute Cardiopulmonary Conditions in Older Adults Hospitalized with Pneumonia, Chronic Obstructive Pulmonary Disease, or Heart Failure
Dharmarajan K, Strait KM, Tinetti ME, Lagu T, Lindenauer PK, Lynn J, Krukas MR, Ernst FR, Li SX, Krumholz HM. Treatment for Multiple Acute Cardiopulmonary Conditions in Older Adults Hospitalized with Pneumonia, Chronic Obstructive Pulmonary Disease, or Heart Failure. Journal Of The American Geriatrics Society 2016, 64: 1574-1582. PMID: 27448329, PMCID: PMC4988873, DOI: 10.1111/jgs.14303.Peer-Reviewed Original ResearchMeSH KeywordsAdrenal Cortex HormonesAgedAged, 80 and overAnti-Bacterial AgentsCardiotonic AgentsCohort StudiesComorbidityCross-Sectional StudiesDiureticsDrug Therapy, CombinationFemaleHeart FailureHospitalizationHumansMalePneumoniaPulmonary Disease, Chronic ObstructiveRetrospective StudiesUnited StatesVasodilator AgentsConceptsChronic obstructive pulmonary diseaseAcute cardiopulmonary conditionsObstructive pulmonary diseaseHeart failureCardiopulmonary conditionsOlder adultsPulmonary diseasePremier Research DatabaseEpisodes of pneumoniaRetrospective cohort studyReal-world treatmentHF hospitalizationCohort studyHospital daysPneumonia hospitalizationsCOPD hospitalizationsClinical syndromeAcute conditionsPneumoniaDiagnostic uncertaintyResearch DatabaseHospitalizationDiagnostic categoriesU.S. hospitalsAdults
2015
Hospital variation in admission to intensive care units for patients with acute myocardial infarction
Chen R, Strait KM, Dharmarajan K, Li SX, Ranasinghe I, Martin J, Fazel R, Masoudi FA, Cooke CR, Nallamothu BK, Krumholz HM. Hospital variation in admission to intensive care units for patients with acute myocardial infarction. American Heart Journal 2015, 170: 1161-1169. PMID: 26678638, PMCID: PMC5459386, DOI: 10.1016/j.ahj.2015.09.003.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overAnterior Wall Myocardial InfarctionCoronary Care UnitsHealth Care RationingHospital MortalityHumansLength of StayMaleMiddle AgedOutcome and Process Assessment, Health CarePatient AdmissionQuality ImprovementRetrospective StudiesRisk AssessmentTriageUnited StatesConceptsAcute myocardial infarctionIntensive care unitCritical care therapiesRisk-standardized mortality ratesHospital risk-standardized mortality ratesICU admissionResource-intensive settingsCare therapyAMI patientsCare unitMyocardial infarctionMortality rateAdult hospitalizationsHospital variationNinth RevisionClinical ModificationICU triageInternational ClassificationBetter outcomesPatientsHospitalAdmissionPremier databaseTherapyAppropriate useIntravenous Fluids in Acute Decompensated Heart Failure
Bikdeli B, Strait KM, Dharmarajan K, Li SX, Mody P, Partovian C, Coca SG, Kim N, Horwitz LI, Testani JM, Krumholz HM. Intravenous Fluids in Acute Decompensated Heart Failure. JACC Heart Failure 2015, 3: 127-133. PMID: 25660836, PMCID: PMC4438991, DOI: 10.1016/j.jchf.2014.09.007.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCohort StudiesDatabases, FactualFemaleFluid TherapyHeart FailureHospital MortalityHospitalizationHumansInfusions, IntravenousIntensive Care UnitsIntubation, IntratrachealIsotonic SolutionsMaleMiddle AgedRenal Replacement TherapyRetrospective StudiesRinger's SolutionSaline Solution, HypertonicSodium Potassium Chloride Symporter InhibitorsUnited StatesYoung AdultConceptsAcute decompensated heart failureDecompensated heart failureHeart failureIntravenous fluidsRetrospective cohort studyCritical care admissionRenal replacement therapyDays of hospitalizationProportion of hospitalizationsHalf-normal salineWarrants further investigationOnly diureticsCare admissionHospital deathHospital outcomesCohort studyLoop diureticsPatient groupReplacement therapyWorse outcomesNormal salineInpatient careMedian volumePatientsHospitalization
2014
National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release
Suter LG, Li SX, Grady JN, Lin Z, Wang Y, Bhat KR, Turkmani D, Spivack SB, Lindenauer PK, Merrill AR, Drye EE, Krumholz HM, Bernheim SM. National Patterns of Risk-Standardized Mortality and Readmission After Hospitalization for Acute Myocardial Infarction, Heart Failure, and Pneumonia: Update on Publicly Reported Outcomes Measures Based on the 2013 Release. Journal Of General Internal Medicine 2014, 29: 1333-1340. PMID: 24825244, PMCID: PMC4175654, DOI: 10.1007/s11606-014-2862-5.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionHeart failurePneumonia mortalityMyocardial infarctionMedian risk-standardized mortality rateHospital-level mortalityUnplanned readmission ratePrincipal discharge diagnosisHospital performanceRisk-Standardized MortalityHF mortalityReadmission resultsReadmission ratesDischarge diagnosisOutcome measuresAMI mortalityReadmission measuresPneumoniaMortality rateService MedicareHierarchical logistic modelsMortalityMedicaid ServicesReadmissionHospital Variation in the Use of Noninvasive Cardiac Imaging and Its Association With Downstream Testing, Interventions, and Outcomes
Safavi KC, Li SX, Dharmarajan K, Venkatesh AK, Strait KM, Lin H, Lowe TJ, Fazel R, Nallamothu BK, Krumholz HM. Hospital Variation in the Use of Noninvasive Cardiac Imaging and Its Association With Downstream Testing, Interventions, and Outcomes. JAMA Internal Medicine 2014, 174: 546-553. PMID: 24515551, PMCID: PMC5459406, DOI: 10.1001/jamainternmed.2013.14407.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoninvasive cardiac imagingDownstream testingReadmission ratesRevascularization proceduresCardiac imagingHospital variationCardiac ischemiaProportion of patientsNoninvasive imagingLower readmission ratesPrincipal discharge diagnosisCross-sectional studyCardiac biomarker testsQ4 hospitalsChest discomfortCoronary angiographyCoronary diseaseDischarge diagnosisCoronary angiogramEmergency departmentMyocardial infarctionSame hospitalCurrent guidelinesInpatient wardsHospital 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