2022
Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults
Lu Y, Li SX, Liu Y, Rodriguez F, Watson KE, Dreyer RP, Khera R, Murugiah K, D’Onofrio G, Spatz ES, Nasir K, Masoudi FA, Krumholz HM. Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults. JAMA Network Open 2022, 5: e229953. PMID: 35503221, PMCID: PMC9066284, DOI: 10.1001/jamanetworkopen.2022.9953.Peer-Reviewed Original ResearchConceptsFirst acute myocardial infarctionAcute myocardial infarctionPsychosocial risk factorsRisk factor profilePopulation attributable fractionRisk factor associationsRisk factorsOdds ratioYoung womenAMI subtypesMyocardial infarctionPrevention of AMIType 1 acute myocardial infarctionFactor profileRisk of AMITraditional cardiovascular risk factorsSex-specific risk factorsFactor associationsYoung adultsRisk factor modificationCardiovascular risk factorsStrong associationNutrition Examination SurveyCase-control studyPopulation-based controls
2021
Incorporating 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
Development 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 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
2016
Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction
Xu X, Li SX, Lin H, Normand SL, Lagu T, Desai N, Duan M, Kroch EA, Krumholz HM. Hospital Phenotypes in the Management of Patients Admitted for Acute Myocardial Infarction. Medical Care 2016, 54: 929-936. PMID: 27261637, PMCID: PMC5305177, DOI: 10.1097/mlr.0000000000000571.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPercutaneous coronary interventionICU admission rateICU admissionMyocardial infarctionAdmission ratesProcedure ratesIntensive care unit admissionHigher ICU admissionLower ICU admissionCare unit admissionCoronary artery bypassPatients' clinical characteristicsManagement of patientsOpen heart surgeryRisk-standardized mortalityArtery bypassUnit admissionClinical characteristicsCoronary interventionReadmission ratesGroup of hospitalsHospital costsPractice patternsCABGIdentification 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 databaseChina Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction: Study Design
Li J, Dreyer RP, Li X, Du X, Downing NS, Li L, Zhang HB, Feng F, Guan WC, Xu X, Li SX, Lin ZQ, Masoudi FA, Spertus JA, Krumholz HM, Jiang LX, Group T. China Patient-centered Evaluative Assessment of Cardiac Events Prospective Study of Acute Myocardial Infarction: Study Design. Chinese Medical Journal 2016, 129: 72-80. PMID: 26712436, PMCID: PMC4797546, DOI: 10.4103/0366-6999.172596.Peer-Reviewed Original ResearchConceptsPatient-reported outcomesAcute myocardial infarctionChina PatientMedical historyMyocardial infarctionPatient experienceLong-term adverse eventsRisk factor controlConsecutive AMI patientsAMI studyPatient's medical historyQuality of lifeNational Coordinating CentreQuality improvement activitiesHospital outcomesCardiac eventsPatient demographicsAdverse eventsMedical chartsHealthcare utilizationAMI patientsMedication adherenceProspective studyHospitalization eventsRisk factors
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 useHospital Variability in Use of Anticoagulant Strategies During Acute Myocardial Infarction Treated With an Early Invasive Strategy
Arnold SV, Li SX, Alexander KP, Spertus JA, Nallamothu BK, Curtis JP, Kosiborod M, Gupta A, Wang TY, Lin H, Dharmarajan K, Strait KM, Lowe TJ, Krumholz HM. Hospital Variability in Use of Anticoagulant Strategies During Acute Myocardial Infarction Treated With an Early Invasive Strategy. Journal Of The American Heart Association 2015, 4: e002009. PMID: 26077589, PMCID: PMC4599539, DOI: 10.1161/jaha.115.002009.Peer-Reviewed Original ResearchConceptsEarly invasive strategyAnticoagulant strategiesMyocardial infarctionBleeding rateInvasive strategyAcute myocardial infarction patientsOptimal anticoagulant strategyHalf of patientsPercutaneous coronary interventionAcute myocardial infarctionMyocardial infarction patientsHospital use patternsComparative effectiveness studiesRisk-standardized mortalityChoice of anticoagulantsMedian odds ratioCoronary interventionPatient factorsSystemic anticoagulationHospital variabilityInfarction patientsPrincipal diagnosisOdds ratioMultivariate regression modelPatterns of use
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 wards
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