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 persons
2019
Comparative 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 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
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 use
2014
“Phenotyping” Hospital Value of Care for Patients with Heart Failure
Xu X, Li S, Lin H, Normand S, Kim N, Ott LS, Lagu T, Duan M, Kroch EA, Krumholz HM. “Phenotyping” Hospital Value of Care for Patients with Heart Failure. Health Services Research 2014, 49: 2000-2016. PMID: 24974769, PMCID: PMC4254136, DOI: 10.1111/1475-6773.12197.Peer-Reviewed Original ResearchConceptsLower mortalityHeart failureHeart failure hospitalizationHospital mortality rateLonger hospital stayIntensive care unitDistinct joint trajectoriesValue of careFailure hospitalizationHospital stayCare unitClinical outcomesGroup of hospitalsHospital characteristicsHospital careHospital patternsSurgical proceduresMultinomial logistic regressionMortality rateHigh mortalityHospitalHospitalizationMortalityLogistic regressionHospital ValueNational 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 ServicesReadmission
2012
Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure
Partovian C, Gleim SR, Mody PS, Li SX, Wang H, Strait KM, Allen LA, Lagu T, Normand SL, Krumholz HM. Hospital Patterns of Use of Positive Inotropic Agents in Patients With Heart Failure. Journal Of The American College Of Cardiology 2012, 60: 1402-1409. PMID: 22981548, PMCID: PMC3636773, DOI: 10.1016/j.jacc.2012.07.011.Peer-Reviewed Original ResearchConceptsPositive inotropic agentsRisk-standardized ratesInotropic agentsHeart failureInotrope useHospital patternsMortality rateRisk-standardized mortality ratesHospital mortality rateHeart failure patientsLittle clinical evidenceLength of stayPatient case mixHierarchical logistic regression modelsLogistic regression modelsIntraclass correlation coefficientFailure patientsHospital variationClinical evidenceInterhospital variationClinical guidelinesIndividual hospital effectsHospital ratesHospital effectsPatterns of useProcedure Intensity and the Cost of Care
Chen SI, Dharmarajan K, Kim N, Strait KM, Li SX, Safavi KC, Lindenauer PK, Krumholz HM, Lagu T. Procedure Intensity and the Cost of Care. Circulation Cardiovascular Quality And Outcomes 2012, 5: 308-313. PMID: 22576844, PMCID: PMC3415230, DOI: 10.1161/circoutcomes.112.966069.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCosts and Cost AnalysisCross-Sectional StudiesFemaleHeart FailureHospital Bed CapacityHospital CostsHospital MortalityHospitalizationHospitals, RuralHospitals, TeachingHospitals, UrbanHumansLength of StayLinear ModelsMaleMiddle AgedModels, EconomicOutcome and Process Assessment, Health CareResidence CharacteristicsRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsHF hospitalizationHeart failureInvasive proceduresHospital groupRisk-standardized mortality ratesProportion of patientsLength of stayCost of careWilcoxon rank sum testHigher procedure ratesRank sum testPatient demographicsPerspective databaseMedian lengthSurgical proceduresProcedure ratesHospitalizationOutcome differencesMortality rateHospitalPatientsPractice styleProcedure useSum testOverall use
2011
Long-term Trends in Short-term Outcomes in Acute Myocardial Infarction
Nguyen HL, Saczynski JS, Gore JM, Waring ME, Lessard D, Yarzebski J, Reed G, Spencer FA, Li SX, Goldberg RJ. Long-term Trends in Short-term Outcomes in Acute Myocardial Infarction. The American Journal Of Medicine 2011, 124: 939-946. PMID: 21962314, PMCID: PMC3185241, DOI: 10.1016/j.amjmed.2011.05.023.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionShort-term outcomesOlder patientsAtrial fibrillationMyocardial infarctionAdverse short-term outcomesGreater Worcester medical centersShort-term death ratesShort-term mortality rateMen 75 yearsShort-term mortalityTargeted treatment approachCardiogenic shockHeart failureMajor complicationsAge differencesElderly menMedical CenterStudy populationMortality rateTreatment approachesPatientsDeath rateFemale residentsWomen