2022
A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations
Khera R, Mortazavi BJ, Sangha V, Warner F, Patrick Young H, Ross JS, Shah ND, Theel ES, Jenkinson WG, Knepper C, Wang K, Peaper D, Martinello RA, Brandt CA, Lin Z, Ko AI, Krumholz HM, Pollock BD, Schulz WL. A multicenter evaluation of computable phenotyping approaches for SARS-CoV-2 infection and COVID-19 hospitalizations. Npj Digital Medicine 2022, 5: 27. PMID: 35260762, PMCID: PMC8904579, DOI: 10.1038/s41746-022-00570-4.Peer-Reviewed Original ResearchCOVID-19 hospitalizationMayo ClinicDiagnosis codesCOVID-19 diagnosisPositive SARS-CoV-2 PCRYale New Haven Health SystemPositive SARS-CoV-2 testSARS-CoV-2 infectionSARS-CoV-2 PCRSARS-CoV-2 testCOVID-19Higher inhospital mortalitySARS-CoV2 infectionElectronic health record dataICD-10 diagnosisPositive laboratory testsHealth record dataInhospital mortalityAdditional patientsAntigen testSecondary diagnosisPrincipal diagnosisMulticenter evaluationPositive testComputable phenotype definitions
2015
National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010)
Minges KE, Bikdeli B, Wang Y, Kim N, Curtis JP, Desai MM, Krumholz HM. National Trends in Pulmonary Embolism Hospitalization Rates and Outcomes for Adults Aged ≥65 Years in the United States (1999 to 2010). The American Journal Of Cardiology 2015, 116: 1436-1442. PMID: 26409636, PMCID: PMC4841688, DOI: 10.1016/j.amjcard.2015.07.068.Peer-Reviewed Original ResearchConceptsHospitalization ratesMortality rateReadmission ratesBlack patientsPrincipal discharge diagnosis codeOlder adultsCause readmission rateHospital mortality rateProportion of patientsRetrospective cohort studyDischarge diagnosis codesSkilled nursing facilitiesNational trendsSignificant racial differencesHigh rateHome health careHospital stayAdults AgedCohort studyMore patientsTherapeutic advancesDiagnosis codesMedicare feeNursing facilitiesSignificant burden
2013
Trends in Intracranial Stenting Among Medicare Beneficiaries in the United States, 2006–2010
Gupta A, Desai MM, Kim N, Bulsara KR, Wang Y, Krumholz HM. Trends in Intracranial Stenting Among Medicare Beneficiaries in the United States, 2006–2010. Journal Of The American Heart Association 2013, 2: e000084. PMID: 23588099, PMCID: PMC3647283, DOI: 10.1161/jaha.113.000084.Peer-Reviewed Original ResearchConceptsIntracranial stentingMortality rateService beneficiariesICD-9-CM procedure codesPrincipal discharge diagnosis codeOverall hospitalization rateDischarge diagnosis codesHumanitarian Device Exemption approvalAcute care hospitalsHumanitarian Device ExemptionCare hospitalIntracranial angioplastyHospitalization ratesICS useSubarachnoid hemorrhageDiagnosis codesOperative rateProcedure ratesMedicare feeMedicare beneficiariesInsufficient evidenceICS procedureDrug AdministrationCerebral aneurysmsMedicaid Services
2011
National and Regional Trends in Heart Failure Hospitalization and Mortality Rates for Medicare Beneficiaries, 1998-2008
Chen J, Normand SL, Wang Y, Krumholz HM. National and Regional Trends in Heart Failure Hospitalization and Mortality Rates for Medicare Beneficiaries, 1998-2008. JAMA 2011, 306: 1669-1678. PMID: 22009099, PMCID: PMC3688069, DOI: 10.1001/jama.2011.1474.Peer-Reviewed Original ResearchConceptsHF hospitalization ratesHeart failure hospitalizationHospitalization ratesMortality rateFailure hospitalizationHeart failure hospitalization ratesPrincipal discharge diagnosis codeOne-year mortality rateDischarge diagnosis codesIschemic heart diseaseAcute care hospitalsService Medicare beneficiariesLower ratesBlack menHF hospitalizationPatient demographicsCare hospitalDiagnosis codesHeart diseaseRisk factorsMedicare beneficiariesHospitalizationStudy periodMortalityNational meanAn Administrative Claims Model for Profiling Hospital 30-Day Mortality Rates for Pneumonia Patients
Bratzler DW, Normand SL, Wang Y, O'Donnell WJ, Metersky M, Han LF, Rapp MT, Krumholz HM. An Administrative Claims Model for Profiling Hospital 30-Day Mortality Rates for Pneumonia Patients. PLOS ONE 2011, 6: e17401. PMID: 21532758, PMCID: PMC3075250, DOI: 10.1371/journal.pone.0017401.Peer-Reviewed Original ResearchConceptsMortality rateDerivation cohortValidation cohortModel derivation cohortAge 66 yearsPrincipal discharge diagnosisAdministrative diagnosis codesStandardized mortality rateRisk-adjustment variablesQuality of careState mortality ratesAdministrative Claims ModelClaims-based modelsIndex hospitalizationPatient demographicsDischarge diagnosisOutpatient encountersPneumonia mortalityPneumonia patientsRetrospective studyDiagnosis codesPneumonia casesMortality estimatesOutcome measuresProfiling Hospitals
2004
Delay in diagnosis of acute myocardial infarction: Increasingly common, lower quality of care
Graff L, Wang Y, Foody J, Meehan T, Tuozzo K, Krumholz H, Radford M. Delay in diagnosis of acute myocardial infarction: Increasingly common, lower quality of care. Annals Of Emergency Medicine 2004, 44: s46. DOI: 10.1016/j.annemergmed.2004.07.151.Peer-Reviewed Original ResearchAcute myocardial infarctionQuality of careDiagnosis of AMIUnstable anginaMyocardial infarctionAMI casesPossible acute myocardial infarctionCoronary artery diseaseMedical record abstractionPrincipal discharge diagnosisSecondary diagnosis codesAMI dischargeDischarge therapyAdmission diagnosisComorbidity scoreArtery diseasePatient characteristicsComorbid conditionsRecord abstractionAcute careDischarge diagnosisDiagnosis codesAnginaAMI diagnosisCare measurement