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
2014
Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance
Katzan IL, Spertus J, Bettger JP, Bravata DM, Reeves MJ, Smith EE, Bushnell C, Higashida RT, Hinchey JA, Holloway RG, Howard G, King RB, Krumholz HM, Lutz BJ, Yeh RW. Risk Adjustment of Ischemic Stroke Outcomes for Comparing Hospital Performance. Stroke 2014, 45: 918-944. PMID: 24457296, DOI: 10.1161/01.str.0000441948.35804.77.Peer-Reviewed Original ResearchMeSH KeywordsAmerican Heart AssociationBrain IschemiaHospitalsHumansModels, OrganizationalOutcome Assessment, Health CarePatient ReadmissionPredictive Value of TestsPrognosisQuality of Health CareRecovery of FunctionReproducibility of ResultsRisk AdjustmentSample SizeStrokeTreatment OutcomeUnited StatesConceptsIschemic stroke outcomeRisk-adjustment modelsStroke severityStroke outcomeStroke careOutcome measuresHospital levelRisk-adjusted outcome comparisonsRisk adjustmentHospital-level outcomesHospital performanceVascular risk factorsImportant prognostic factorIschemic stroke careIndividual patient levelStroke severity measuresRisk-adjusted modelsHospital-level performanceQuality of strokeComparison of qualityIschemic strokePrognostic factorsComorbid conditionsFunctional outcomeMajor disability
2003
Overestimation of genetic risks owing to small sample sizes in cardiovascular studies
Morgan T, Coffey C, Krumholz H. Overestimation of genetic risks owing to small sample sizes in cardiovascular studies. Clinical Genetics 2003, 64: 7-17. PMID: 12791034, DOI: 10.1034/j.1399-0004.2003.00088.x.Peer-Reviewed Original ResearchConceptsACE DMyocardial infarctionRisk factorsPublication biasEnzyme deletion polymorphismStudies of angiotensinThrombotic risk factorsGenetic risk factorsPotential publication biasCardiovascular outcomesPlA2 polymorphismOdds ratioEgger's testFunnel plotSystematic reviewCardiovascular studiesRelevant outcomesOverall riskSmall sample sizeGenetic riskSample sizeDeletion polymorphismUnderpowered studiesInfarctionPLA2
2000
Quality improvement studies: the need is there but so are the challenges
Krumholz H, Herrin J. Quality improvement studies: the need is there but so are the challenges. The American Journal Of Medicine 2000, 109: 501-503. PMID: 11042244, DOI: 10.1016/s0002-9343(00)00593-3.Peer-Reviewed Original Research