2017
Updated Cost-effectiveness Assessments of PCSK9 Inhibitors From the Perspectives of the Health System and Private Payers: Insights Derived From the FOURIER Trial
Arrieta A, Hong JC, Khera R, Virani SS, Krumholz HM, Nasir K. Updated Cost-effectiveness Assessments of PCSK9 Inhibitors From the Perspectives of the Health System and Private Payers: Insights Derived From the FOURIER Trial. JAMA Cardiology 2017, 2: 1369-1374. PMID: 29049467, PMCID: PMC5814995, DOI: 10.1001/jamacardio.2017.3655.Peer-Reviewed Original ResearchMeSH KeywordsAgedAnticholesteremic AgentsCardiovascular DiseasesCholesterol, LDLCost-Benefit AnalysisDecision Support TechniquesDrug Therapy, CombinationFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsHypercholesterolemiaInsuranceInsurance, HealthInsurance, Health, ReimbursementMaleMarkov ChainsMiddle AgedMyocardial InfarctionPCSK9 InhibitorsQuality-Adjusted Life YearsStrokeUnited StatesConceptsQuality-adjusted life yearsIncremental cost-effectiveness ratioCost-effectiveness ratioProprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitorsCurrent pricesLife yearsPrivate payersAdditional quality-adjusted life yearPreliminary cost-effectiveness analysisCost-effectiveness standardsProbabilistic sensitivity analysesCost-effectiveness analysisPrivate payer perspectiveCost-effectiveness assessmentNegative returnsHealth system perspectiveSignificant discountUS dollarsDrug pricesPatent protectionPricesStatin treatment strategiesHealth insuranceTime horizonSubtilisin/kexin type 9 inhibitors
2011
Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging
Chen J, Fazel R, Ross JS, McNamara RL, Einstein AJ, Al-Mallah M, Krumholz HM, Nallamothu BK. Do Imaging Studies Performed in Physician Offices Increase Downstream Utilization? An Empiric Analysis of Cardiac Stress Testing With Imaging. JACC Cardiovascular Imaging 2011, 4: 630-637. PMID: 21679898, PMCID: PMC3319749, DOI: 10.1016/j.jcmg.2011.04.003.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overCardiac CatheterizationChi-Square DistributionEchocardiography, StressEmpirical ResearchFemaleHealthcare DisparitiesHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMyocardial Perfusion ImagingMyocardial RevascularizationOffice VisitsOutpatient Clinics, HospitalPractice Patterns, Physicians'Predictive Value of TestsResidence CharacteristicsTime FactorsUnited StatesYoung AdultConceptsMyocardial perfusion imagingSubsequent myocardial perfusion imagingProportion of patientsStress echocardiographyCardiac catheterizationHospital outpatient settingPhysician's officeOutpatient settingStress testingSubsequent cardiac testingCardiac stress testingDownstream resource utilizationHospital outpatient facilitiesCardiac testingPrivate health insuranceDownstream testingOffice imagingPerfusion imagingCatheterizationImaging studiesOutpatient imagingPatientsHealth insuranceLower ratesHigh rate
2010
Health Care Insurance, Financial Concerns in Accessing Care, and Delays to Hospital Presentation in Acute Myocardial Infarction
Smolderen KG, Spertus JA, Nallamothu BK, Krumholz HM, Tang F, Ross JS, Ting HH, Alexander KP, Rathore SS, Chan PS. Health Care Insurance, Financial Concerns in Accessing Care, and Delays to Hospital Presentation in Acute Myocardial Infarction. JAMA 2010, 303: 1392-1400. PMID: 20388895, PMCID: PMC3020978, DOI: 10.1001/jama.2010.409.Peer-Reviewed Original Research
2007
Predictors of weight change in overweight patients with myocardial infarction
Fadl YY, Krumholz HM, Kosiborod M, Masoudi FA, Peterson PN, Reid KJ, Weintraub WS, Buchanan DM, Spertus JA. Predictors of weight change in overweight patients with myocardial infarction. American Heart Journal 2007, 154: 711-717. PMID: 17892997, DOI: 10.1016/j.ahj.2007.06.006.Peer-Reviewed Original ResearchConceptsPost-MI patientsMyocardial infarctionOverweight patientsWeight changeWeight lossDepression 1 monthMean weight changePercent weight changeMultivariable linear regressionBaseline obesityOverweight survivorsMorbid obesityObese patientsProspective cohortMultivariable analysisIndependent correlatesWeight managementLifestyle characteristicsPatientsMean increasePREMIER studyHealth insuranceMonthsOverweightInfarction