2020
Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data
Dhruva SS, Parzynski CS, Gamble GM, Curtis JP, Desai NR, Yeh RW, Masoudi FA, Kuntz R, Shaw RE, Marinac‐Dabic D, Sedrakyan A, Normand S, Krumholz HM, Ross JS. Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data. Journal Of The American Heart Association 2020, 9: e013606. PMID: 32063087, PMCID: PMC7070203, DOI: 10.1161/jaha.119.013606.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAgedAged, 80 and overCoronary RestenosisCoronary ThrombosisDatabases, FactualDrug-Eluting StentsFemaleHumansMaleMedicareMyocardial InfarctionPercutaneous Coronary InterventionProduct Surveillance, PostmarketingRegistriesRetreatmentRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesConceptsIndex percutaneous coronary interventionPercutaneous coronary interventionSame coronary arteryDrug-eluting stentsNCDR CathPCI RegistrySubsequent percutaneous coronary interventionAcute myocardial infarctionCoronary arteryClaims dataCathPCI RegistryAdverse eventsIndex procedureMyocardial infarctionRepeat percutaneous coronary interventionReal-world registry dataTarget vessel revascularizationCoronary stent placementAdministrative claims dataLong-term safetyLongitudinal claims dataPotential safety eventsVessel revascularizationCoronary interventionDES placementStent thrombosis
2017
Incorporating Stroke Severity Into Hospital Measures of 30-Day Mortality After Ischemic Stroke Hospitalization
Schwartz J, Wang Y, Qin L, Schwamm LH, Fonarow GC, Cormier N, Dorsey K, McNamara RL, Suter LG, Krumholz HM, Bernheim SM. Incorporating Stroke Severity Into Hospital Measures of 30-Day Mortality After Ischemic Stroke Hospitalization. Stroke 2017, 48: 3101-3107. PMID: 28954922, DOI: 10.1161/strokeaha.117.017960.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesElectronic health record dataHealth record dataStroke severityClaims dataMortality rateAmerican Heart Association/American Stroke AssociationHealth Stroke Scale scoreRisk variablesMedicaid ServicesRisk adjustmentMedian risk-standardized mortality rateGuidelines-Stroke registryLow-mortality hospitalsStroke Scale scoreAcute ischemic strokeAmerican Stroke AssociationOdds of mortalityMortality measuresRecord dataIschemic stroke hospitalizationsHigh-mortality hospitalsService claims dataRisk-adjustment variablesHospital admissionBlockchain Technology
Angraal S, Krumholz HM, Schulz WL. Blockchain Technology. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003800. PMID: 28912202, DOI: 10.1161/circoutcomes.117.003800.Peer-Reviewed Original ResearchWith Great Power Comes Great Responsibility
Khera R, Krumholz HM. With Great Power Comes Great Responsibility. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003846. PMID: 28705865, PMCID: PMC5728376, DOI: 10.1161/circoutcomes.117.003846.Commentaries, Editorials and LettersAdministrative Claims, HealthcareBig DataCardiovascular DiseasesData AccuracyData MiningDatabases, FactualHumansInpatientsPrognosisTime FactorsUnited StatesDiscovery of temporal and disease association patterns in condition-specific hospital utilization rates
Haimovich JS, Venkatesh AK, Shojaee A, Coppi A, Warner F, Li SX, Krumholz HM. Discovery of temporal and disease association patterns in condition-specific hospital utilization rates. PLOS ONE 2017, 12: e0172049. PMID: 28355219, PMCID: PMC5371293, DOI: 10.1371/journal.pone.0172049.Peer-Reviewed Original Research