2024
Class I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis.
See C, Mooghali M, Dhruva S, Ross J, Krumholz H, Kadakia K. Class I Recalls of Cardiovascular Devices Between 2013 and 2022 : A Cross-Sectional Analysis. Annals Of Internal Medicine 2024 PMID: 39284187, DOI: 10.7326/annals-24-00724.Peer-Reviewed Original ResearchCross-sectional studyCross-sectional analysisAdverse health consequencesPatient safetyClinical testingClass IHealth consequencesClinical evidenceFDA summariesPostapproval studiesDecision summariesFood and Drug AdministrationU.S. Food and Drug AdministrationEnd-point selectionPremarket approvalMultiple class IClinical studiesPostmarketing surveillanceSummaryDrug AdministrationMedical device recall databaseRecallPatientsFDAPostmarketingHypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
Brush J, Lu Y, Liu Y, Asher J, Li S, Sawano M, Young P, Schulz W, Anderson M, Burrows J, Krumholz H. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records. Journal Of The American Heart Association 2024, 13: e033253. PMID: 38686864, PMCID: PMC11179912, DOI: 10.1161/jaha.123.033253.Peer-Reviewed Original ResearchConceptsElectronic health recordsRegional health systemImprove hypertension careHealth systemHealth recordsHypertension careDiastolic blood pressureAge-adjusted prevalence ratesNon-Hispanic Black patientsPrevalence ratesLarger health systemCross-sectional analysisTransformation of medical dataLeveraging real-world dataHigh prevalence rateHypertension trendsHypertension prevalenceBlood pressureBlood pressure measurementsHypertension diagnosisPrimary outcomeNational trendsProportion of patientsAntihypertensive medicationsBlack patientsBurden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019
Renedo D, Acosta J, Leasure A, Sharma R, Krumholz H, de Havenon A, Alahdab F, Aravkin A, Aryan Z, Bärnighausen T, Basu S, Burkart K, Coberly K, Criqui M, Dai X, Desai R, Dharmaratne S, Doshi R, Elgendy I, Feigin V, Filip I, Gad M, Ghozy S, Hafezi-Nejad N, Kalani R, Karaye I, Kisa A, Krishnamoorthy V, Lo W, Mestrovic T, Miller T, Misganaw A, Mokdad A, Murray C, Natto Z, Radfar A, Ram P, Roth G, Seylani A, Shah N, Sharma P, Sheikh A, Singh J, Song S, Sotoudeh H, Vervoort D, Wang C, Xiao H, Xu S, Zand R, Falcone G, Sheth K. Burden of Ischemic and Hemorrhagic Stroke Across the US From 1990 to 2019. JAMA Neurology 2024, 81: 394-404. PMID: 38436973, PMCID: PMC10913004, DOI: 10.1001/jamaneurol.2024.0190.Peer-Reviewed Original ResearchBurden of strokeHemorrhagic strokeBurden trendsGlobal burdenGlobal Burden of Disease StudyBurden of Disease StudyAge-standardized ratesAge-standardized estimatesPublic health policiesStroke-related outcomesIschemic strokeCross-sectional studyPublic health challengeCross-sectional analysisStroke mortalityStroke burdenHealth policyOlder adultsMain OutcomesStroke incidenceStroke casesIntracerebral hemorrhageEscalating burdenHealth challengesSignificant disparities
2022
Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States
Lu Y, Liu Y, Krumholz HM. Racial and Ethnic Disparities in Financial Barriers Among Overweight and Obese Adults Eligible for Semaglutide in the United States. Journal Of The American Heart Association 2022, 11: e025545. PMID: 36172953, PMCID: PMC9673703, DOI: 10.1161/jaha.121.025545.Peer-Reviewed Original ResearchConceptsLow family incomeEligible populationUsual sourceHispanic adultsFinancial barriersEthnic disparitiesNutrition Examination Survey 2015Drug Administration labelingCross-sectional analysisFamily incomePercentage of adultsObese adultsNational HealthUS adultsSemaglutideEligibility criteriaSocial determinantsBlack adultsLarge proportionFinal analysisWeight lossHispanic individualsWhite individualsAdultsRisk reductionTemporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018
Caraballo C, Herrin J, Mahajan S, Massey D, Lu Y, Ndumele CD, Drye EE, Krumholz HM. Temporal Trends in Racial and Ethnic Disparities in Multimorbidity Prevalence in the United States, 1999-2018. The American Journal Of Medicine 2022, 135: 1083-1092.e14. PMID: 35472394, DOI: 10.1016/j.amjmed.2022.04.010.Peer-Reviewed Original ResearchConceptsMultimorbidity prevalenceRace/ethnicityWhite individualsChronic conditionsBlack individualsSerial cross-sectional analysisCommon chronic conditionsRisk of morbidityPrevalence of multimorbidityPublic health interventionsCross-sectional analysisSelf-reported presenceSelf-reported raceLatino/HispanicMAIN OUTCOMEHealth interventionsEthnic disparitiesPrevalenceHealth inequalitiesStudy periodEarly lifeHispanic individualsTemporal trendsStudy sampleAsian individuals
2021
National Trends and Disparities in Hospitalization for Acute Hypertension Among Medicare Beneficiaries (1999–2019)
Lu Y, Wang Y, Spatz ES, Onuma O, Nasir K, Rodriguez F, Watson KE, Krumholz HM. National Trends and Disparities in Hospitalization for Acute Hypertension Among Medicare Beneficiaries (1999–2019). Circulation 2021, 144: 1683-1693. PMID: 34743531, DOI: 10.1161/circulationaha.121.057056.Peer-Reviewed Original ResearchConceptsHigher hospitalization ratesAcute hypertensionHospitalization ratesMedicare feeService beneficiariesBlack adultsSerial cross-sectional analysisCause readmission rateNational hospitalization ratesPrimary discharge diagnosisAnnual hospitalization rateCause mortality ratesPoisson link functionDual-eligible statusMedicare/MedicaidCross-sectional analysisHypertension controlReadmission ratesDischarge diagnosisDiseases codesMedicare denominatorInpatient filesHypertensionInternational ClassificationMedicare beneficiaries
2020
Where Skilled Nursing Facility Residents Get Acute Care: Is the Emergency Department the Medical Home?
Venkatesh AK, Gettel CJ, Mei H, Chou SC, Rothenberg C, Liu SL, D’Onofrio G, Lin Z, Krumholz HM. Where Skilled Nursing Facility Residents Get Acute Care: Is the Emergency Department the Medical Home? Journal Of Applied Gerontology 2020, 40: 828-836. PMID: 32842827, PMCID: PMC7904961, DOI: 10.1177/0733464820950125.Peer-Reviewed Original ResearchConceptsAcute care visitsCare visitsEmergency departmentMedicare beneficiariesSNF staySNF servicesSkilled nursing facility residentsNursing facility residentsSkilled nursing facility servicesAcute care capabilitiesCross-sectional analysisNursing facility servicesHigher proportionAcute careMedical homeFacility residentsCare capabilitiesVisitsNumber of daysStayCareDepartmentFacility servicesBeneficiariesProportionCross‐sectional Analysis of Emergency Department and Acute Care Utilization Among Medicare Beneficiaries
Venkatesh AK, Mei H, Shuling L, D’Onofrio G, Rothenberg C, Lin Z, Krumholz HM. Cross‐sectional Analysis of Emergency Department and Acute Care Utilization Among Medicare Beneficiaries. Academic Emergency Medicine 2020, 27: 570-579. PMID: 32302034, DOI: 10.1111/acem.13971.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsEmergency departmentUnscheduled careMedicare beneficiariesCross-sectional analysisVisit ratesCare servicesHighest ED visit ratesNumber of EDVulnerable subpopulationsSkilled nursing facility useAmbulatory office settingNon-ED settingsUnscheduled care servicesAcute care utilizationED visit ratesOffice-based visitsAcute care servicesClaims-based definitionNursing facility useMedicare beneficiaries age 65Dual-eligible beneficiariesOlder adult populationBeneficiaries age 65Care visits
2018
Age of Data at the Time of Publication of Contemporary Clinical Trials
Welsh J, Lu Y, Dhruva SS, Bikdeli B, Desai NR, Benchetrit L, Zimmerman CO, Mu L, Ross JS, Krumholz HM. Age of Data at the Time of Publication of Contemporary Clinical Trials. JAMA Network Open 2018, 1: e181065-e181065. PMID: 30646100, PMCID: PMC6324269, DOI: 10.1001/jamanetworkopen.2018.1065.Peer-Reviewed Original ResearchConceptsClinical trialsFinal data collectionParticipant enrollmentInternal medicineMultivariable linear regression analysisFirst participant enrollmentPrimary end pointMultivariable regression analysisContemporary clinical trialsClinical trial dataJAMA Internal MedicineRegression analysisCross-sectional analysisTime of publicationMedian timeTrial characteristicsOutcome measuresMAIN OUTCOMENew England JournalClinical practiceLinear regression analysisTrial dataEnd pointTrial resultsTrials
2016
Association between payments from manufacturers of pharmaceuticals to physicians and regional prescribing: cross sectional ecological study
Fleischman W, Agrawal S, King M, Venkatesh AK, Krumholz HM, McKee D, Brown D, Ross JS. Association between payments from manufacturers of pharmaceuticals to physicians and regional prescribing: cross sectional ecological study. The BMJ 2016, 354: i4189. PMID: 27540015, PMCID: PMC4989280, DOI: 10.1136/bmj.i4189.Peer-Reviewed Original ResearchConceptsHospital referral regionsOral anticoagulantsReferral regionsDiabetes drugsDrug classesGreater prescribingMedicare Part D beneficiariesAdditional daysPart D beneficiariesMedicare Part D prescriptionsCross-sectional analysisSectional ecological studyMedicare Part DPart D prescriptionsManufacturers of pharmaceuticalsPrescribingAnticoagulantsPhysiciansDrugsPart DEducational materialsSectional analysisStudy limitationsConsulting feesAssociationAssociation of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia
Nuti SV, Qin L, Rumsfeld JS, Ross JS, Masoudi FA, Normand SL, Murugiah K, Bernheim SM, Suter LG, Krumholz HM. Association of Admission to Veterans Affairs Hospitals vs Non–Veterans Affairs Hospitals With Mortality and Readmission Rates Among Older Men Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia. JAMA 2016, 315: 582-592. PMID: 26864412, PMCID: PMC5459395, DOI: 10.1001/jama.2016.0278.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNon-VA hospitalsReadmission ratesHeart failureVA hospitalsMortality rateVeterans AffairsMyocardial infarctionOlder menMedicare Standard Analytic FilesRisk-standardized mortality ratesCause readmission rateCause mortality ratesHigher readmission ratesStandard Analytic FilesVeterans Affairs hospitalRisk-standardized readmission ratesAdministrative claims dataAcute care hospitalsAssociation of admissionLittle contemporary informationLower mortality rateCross-sectional analysisAnalysis cohortCare hospital
2015
Appropriate Use Criteria for Coronary Revascularization and Trends in Utilization, Patient Selection, and Appropriateness of Percutaneous Coronary Intervention
Desai NR, Bradley SM, Parzynski CS, Nallamothu BK, Chan PS, Spertus JA, Patel MR, Ader J, Soufer A, Krumholz HM, Curtis JP. Appropriate Use Criteria for Coronary Revascularization and Trends in Utilization, Patient Selection, and Appropriateness of Percutaneous Coronary Intervention. JAMA 2015, 314: 2045-2053. PMID: 26551163, PMCID: PMC5459470, DOI: 10.1001/jama.2015.13764.Peer-Reviewed Original ResearchConceptsNonacute percutaneous coronary interventionPercutaneous coronary interventionAppropriate use criteriaInappropriate percutaneous coronary interventionHospital-level variationCoronary revascularizationPatient selectionUse criteriaCoronary interventionStudy periodAppropriateness of PCINational Cardiovascular Data Registry CathPCI RegistryProportion of PCIsMultivessel coronary artery diseaseHigh-risk findingsCoronary artery diseaseAnnual PCI volumesCross-sectional analysisAngina severityAntianginal medicationsAcute indicationsCathPCI RegistryArtery diseasePCI volumePCI proceduresMortality, Hospitalizations, and Expenditures for the Medicare Population Aged 65 Years or Older, 1999-2013
Krumholz HM, Nuti SV, Downing NS, Normand SL, Wang Y. Mortality, Hospitalizations, and Expenditures for the Medicare Population Aged 65 Years or Older, 1999-2013. JAMA 2015, 314: 355-365. PMID: 26219053, PMCID: PMC5459402, DOI: 10.1001/jama.2015.8035.Peer-Reviewed Original ResearchConceptsMonths of lifeMedicare beneficiariesService beneficiariesMedicare feeInpatient expendituresCause mortalitySerial cross-sectional analysisCause mortality ratesNumber of hospitalizationsIntensity of careUnique Medicare beneficiariesCross-sectional analysisPercentage of beneficiariesCause hospitalizationTotal hospitalizationsMore hospitalizationsHospitalization ratesMedicare denominatorInpatient filesHospitalizationMAIN OUTCOMEMortality rateMortalityHealth careKey demographic groupsVariation in US Hospital Emergency Department Admission Rates by Clinical Condition
Venkatesh AK, Dai Y, Ross JS, Schuur JD, Capp R, Krumholz HM. Variation in US Hospital Emergency Department Admission Rates by Clinical Condition. Medical Care 2015, 53: 237-244. PMID: 25397965, PMCID: PMC4858175, DOI: 10.1097/mlr.0000000000000261.Peer-Reviewed Original ResearchConceptsEmergency Department Admission RatesED admission ratesAdmission ratesClinical conditionsMood disordersChronic obstructive pulmonary diseaseNational Emergency Department SampleAdult ED visitsNonspecific chest painObstructive pulmonary diseaseSoft tissue infectionsUrinary tract infectionEmergency Department SampleClinical Classification SoftwareCross-sectional analysisChest painED visitsTract infectionsPulmonary diseaseSpearman correlation coefficientTissue infectionsHospitalization ratesUS hospitalsCondition-specific variationsHospital correlation
2014
Descriptions and Interpretations of the ACCORD-Lipid Trial in the News and Biomedical Literature: A Cross-Sectional Analysis
Downing NS, Cheng T, Krumholz HM, Shah ND, Ross JS. Descriptions and Interpretations of the ACCORD-Lipid Trial in the News and Biomedical Literature: A Cross-Sectional Analysis. JAMA Internal Medicine 2014, 174: 1176-1182. PMID: 24796406, PMCID: PMC4124903, DOI: 10.1001/jamainternmed.2014.1371.Peer-Reviewed Original ResearchConceptsACCORD lipid trialACCORD-LipidFibrate useTrial interpretationImproved cardiovascular outcomesCross-sectional studyCross-sectional analysisStatin therapyCardiovascular outcomesCardiovascular riskDiabetes (ACCORD) trialDiabetes mellitusConflicts of interestTrialsPatientsFenofibrateAuthor conflictsLipid componentsMellitusTherapyPhysiciansMonthsVariation in Hospital-Level Risk-Standardized Complication Rates Following Elective Primary Total Hip and Knee Arthroplasty
Bozic KJ, Grosso LM, Lin Z, Parzynski CS, Suter LG, Krumholz HM, Lieberman JR, Berry DJ, Bucholz R, Han L, Rapp MT, Bernheim S, Drye EE. Variation in Hospital-Level Risk-Standardized Complication Rates Following Elective Primary Total Hip and Knee Arthroplasty. Journal Of Bone And Joint Surgery 2014, 96: 640-647. PMID: 24740660, DOI: 10.2106/jbjs.l.01639.Peer-Reviewed Original ResearchConceptsElective total hip arthroplastyTotal hip arthroplastyComplication rateBlack patientsStudy cohortTKA proceduresMedicaid patientsU.S. hospitalsMedicare feeElective primary total hip arthroplastyPrimary total hip arthroplastyElective primary total hipTotal knee arthroplasty proceduresPrimary total hipPeriprosthetic joint infectionKnee arthroplasty proceduresNational Medicare feeHigher proportionHospital-level riskNational Quality ForumCross-sectional analysisHierarchical logistic regressionTKA patientsCommon complicationPatient comorbiditiesHospital variation in risk-standardized hospital admission rates from US EDs among adults
Capp R, Ross JS, Fox JP, Wang Y, Desai MM, Venkatesh AK, Krumholz HM. Hospital variation in risk-standardized hospital admission rates from US EDs among adults. The American Journal Of Emergency Medicine 2014, 32: 837-843. PMID: 24881514, DOI: 10.1016/j.ajem.2014.03.033.Peer-Reviewed Original ResearchConceptsHospital admission ratesEmergency departmentAdmission ratesClinical characteristicsED visitsHospital factorsClinical factorsAdult ED visitsUS emergency departmentsHospital teaching statusCross-sectional analysisPatient characteristicsHospital admissionHospital variationPatientsTeaching statusHospitalED dataVisitsRepresentative sampleAdultsRural locationsAdmissionFactorsNational variationsClinical Trial Evidence Supporting FDA Approval of Novel Therapeutic Agents, 2005-2012
Downing NS, Aminawung JA, Shah ND, Krumholz HM, Ross JS. Clinical Trial Evidence Supporting FDA Approval of Novel Therapeutic Agents, 2005-2012. JAMA 2014, 311: 368-377. PMID: 24449315, PMCID: PMC4144867, DOI: 10.1001/jama.2013.282034.Peer-Reviewed Original ResearchConceptsPivotal efficacy trialsNovel therapeutic agentsClinical trial evidencePivotal trialsEfficacy trialsTherapeutic agentsEnd pointTrial evidenceMedian numberAvailable FDA documentsSingle pivotal trialTrial end pointsSurrogate end pointsNumber of patientsLength of treatmentCross-sectional analysisPrimary outcomeClinical outcomesTrial completion ratesClinical benefitPlacebo comparatorSurrogate outcomesMAIN OUTCOMEDrug AdministrationUS Food
2011
Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004
Cherlin EJ, Allam AA, Linnander EL, Wong R, El-Toukhy E, Sipsma H, Krumholz HM, Curry LA, Bradley EH. Inputs to quality: supervision, management, and community involvement in health facilities in Egypt in 2004. BMC Health Services Research 2011, 11: 282. PMID: 22014078, PMCID: PMC3216250, DOI: 10.1186/1472-6963-11-282.Peer-Reviewed Original ResearchConceptsHealth unitsMiddle-income countriesHealth facilitiesHealth Survey websiteService Provision Assessment surveyMinority of facilitiesQuality improvement initiativesRural health unitsUrban health unitsCross-sectional analysisHealth care deliveryMinistry of HealthHealth reformMeasure DemographicFinal sampleGeneral service hospitalsMore rural partsService hospitalsChild healthStandard frequency analysisCare deliveryFacility characteristicsHealth careStatistical significanceImprovement initiatives
2010
Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures
Bernheim SM, Wang Y, Bradley EH, Masoudi FA, Rathore SS, Ross JS, Drye E, Krumholz HM. Who is missing from the measures? Trends in the proportion and treatment of patients potentially excluded from publicly reported quality measures. American Heart Journal 2010, 160: 943-950.e5. PMID: 21095284, PMCID: PMC3319386, DOI: 10.1016/j.ahj.2010.06.046.Peer-Reviewed Original ResearchMeSH KeywordsAdrenergic beta-AntagonistsAgedAngiotensin-Converting Enzyme InhibitorsCross-Sectional StudiesFemaleHospitalizationHumansMaleMedicaidMedicareMyocardial InfarctionOutcome and Process Assessment, Health CarePlatelet Aggregation InhibitorsPrognosisQuality ImprovementQuality Indicators, Health CareRetrospective StudiesUnited StatesConceptsAcute myocardial infarctionProportion of patientsRelative contraindicationAngiotensin-converting enzyme inhibitorTreatment of patientsMedicaid Services core measuresQuality improvement projectPublic reportingCross-sectional analysisMyocardial infarctionMedicare patientsHospital careΒ-blockersAMI admissionsPatientsInsufficient evidenceEnzyme inhibitorsTreatment ratesBetter careContraindicationsMedicaid ServicesData cohortCore measuresTreatmentImprovement project