2019
Effects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus
Huo X, Krumholz HM, Bai X, Spatz ES, Ding Q, Horak P, Zhao W, Gong Q, Zhang H, Yan X, Sun Y, Liu J, Wu X, Guan W, Wang X, Li J, Li X, Spertus JA, Masoudi FA, Zheng X. Effects of Mobile Text Messaging on Glycemic Control in Patients With Coronary Heart Disease and Diabetes Mellitus. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005805. PMID: 31474119, DOI: 10.1161/circoutcomes.119.005805.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleBiomarkersBlood GlucoseChinaCoronary DiseaseCulturally Competent CareDiabetes MellitusExerciseFemaleGlycated HemoglobinHealth CommunicationHealthy LifestyleHumansHypoglycemic AgentsMaleMedication AdherenceMiddle AgedMotivationPatient Education as TopicRisk Reduction BehaviorSelf CareSingle-Blind MethodTelemedicineText MessagingTime FactorsTreatment OutcomeConceptsCoronary heart diseaseHeart diseaseGlycemic controlIntervention groupUsual careDiabetes mellitusBlood glucosePhysical activityControl groupText message-based interventionBlood pressure controlProportion of patientsRisk factor managementGood glycemic controlSystolic blood pressureBody mass indexText messaging programsText message interventionMobile health interventionsSecondary outcomesBlood pressurePrimary outcomeLDL cholesterolMass indexMedication adherenceAssociation of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study
Ding Q, Funk M, Spatz ES, Whittemore R, Lin H, Lipska KJ, Dreyer RP, Spertus JA, Krumholz HM. Association of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study. Journal Of The American Heart Association 2019, 8: e010988. PMID: 31441351, PMCID: PMC6755841, DOI: 10.1161/jaha.118.010988.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsDiabetes MellitusFemaleHealth StatusHealth Status IndicatorsHumansMaleMental HealthMiddle AgedMyocardial InfarctionPatient Reported Outcome MeasuresPredictive Value of TestsPrevalencePrognosisQuality of LifeRecovery of FunctionRisk AssessmentRisk FactorsSex FactorsSpainTime FactorsUnited StatesYoung AdultConceptsAcute myocardial infarctionEuroQol visual analogue scaleSeattle Angina QuestionnaireDiabetes mellitusForm Health SurveyHealth status outcomesHealth statusVIRGO StudyAnalog scaleMyocardial infarctionHealth SurveyStatus outcomesYoung adultsSAQ angina frequencyCardiovascular risk factorsHealth status scoresRisk of mortalityWorse health statusPoor health statusQuality of lifeWorse anginaAngina QuestionnaireClinical characteristicsHealthcare useStatus score
2018
Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States
Lu Y, Wang P, Zhou T, Lu J, Spatz ES, Nasir K, Jiang L, Krumholz HM. Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States. Journal Of The American Heart Association 2018, 7: e007462. PMID: 29374046, PMCID: PMC5850247, DOI: 10.1161/jaha.117.007462.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsAttitude of Health PersonnelBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasFemaleHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHumansHypertensionHypolipidemic AgentsLipidsLongitudinal StudiesMaleMiddle AgedNutrition SurveysObesityPractice Patterns, Physicians'PrevalencePrognosisRisk AssessmentRisk FactorsTime FactorsUnited StatesWaist CircumferenceConceptsHigher stroke prevalenceCardiovascular risk factorsHigh-sensitivity C-reactive proteinBody mass indexC-reactive proteinRisk factorsBlood pressureWaist circumferenceMass indexStroke prevalenceCardiovascular risk factor profileHigher mean blood pressureControl of hypertensionMean blood pressureBlood pressure levelsRisk factor profileComparison of prevalenceRepresentative population sampleLower ratesDyslipidemia awarenessSevere hypertensionHemoglobin A1cHypertension treatmentControl ratePlasma glucose
2017
Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013
Valero-Elizondo J, Hong JC, Spatz ES, Salami JA, Desai NR, Rana JS, Khera R, Virani SS, Blankstein R, Blaha MJ, Nasir K. Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013. Atherosclerosis 2017, 269: 301-305. PMID: 29254694, DOI: 10.1016/j.atherosclerosis.2017.12.014.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseSocioeconomic statusWorse cardiovascular risk factor profileCardiovascular risk factor profileHighest prevalence increasePrevalence of CRFCardiovascular risk factorsRisk factor profileHealthy lifestyle behaviorsMedical Expenditure Panel Survey 2002Medical Expenditure Panel SurveyHealth disparity gapRelative percent increasePhysical inactivityLifestyle behaviorsRisk factorsPrevalence increasesHigh burdenHigh prevalenceLow-income groupsProportion of individualsUS adultsFactor profileDisparity gapSocioeconomic disparitiesTrends in Cardiovascular Health of US Adults by Income, 2005-2014
Beckman AL, Herrin J, Nasir K, Desai NR, Spatz ES. Trends in Cardiovascular Health of US Adults by Income, 2005-2014. JAMA Cardiology 2017, 2: 814-816. PMID: 28593300, PMCID: PMC5815082, DOI: 10.1001/jamacardio.2017.1654.Peer-Reviewed Original ResearchAssociation Between Modifiable Risk Factors and Pharmaceutical Expenditures Among Adults With Atherosclerotic Cardiovascular Disease in the United States: 2012–2013 Medical Expenditures Panel Survey
Salami JA, Valero‐Elizondo J, Ogunmoroti O, Spatz ES, Rana JS, Virani SS, Blankstein R, Younus A, Arrieta A, Blaha MJ, Veledar E, Nasir K. Association Between Modifiable Risk Factors and Pharmaceutical Expenditures Among Adults With Atherosclerotic Cardiovascular Disease in the United States: 2012–2013 Medical Expenditures Panel Survey. Journal Of The American Heart Association 2017, 6: e004996. PMID: 28600400, PMCID: PMC5669151, DOI: 10.1161/jaha.116.004996.Peer-Reviewed Original ResearchConceptsModifiable risk factorsAtherosclerotic cardiovascular diseaseCardiovascular diseaseRisk factorsPharmaceutical expenditureMedication-related expendituresSignificant marginal increaseSurvey's complex designInadequate physical activityMedical Expenditure Panel SurveyMedical Expenditure PanelHigher healthcare spendingASCVD patientsDiabetes mellitusMost deathsPhysical activityTotal pharmaceutical expenditureAdjusted relationshipMedicationsDiseaseHealthcare spendingMellitusPatientsAssociationAdultsFavorable cardiovascular risk factor profile is associated with lower healthcare expenditure and resource utilization among adults with diabetes mellitus free of established cardiovascular disease: 2012 Medical Expenditure Panel Survey (MEPS)
Feldman DI, Valero-Elizondo J, Salami JA, Rana JS, Ogunmoroti O, Osondu CU, Spatz ES, Virani SS, Blankstein R, Blaha MJ, Veledar E, Nasir K. Favorable cardiovascular risk factor profile is associated with lower healthcare expenditure and resource utilization among adults with diabetes mellitus free of established cardiovascular disease: 2012 Medical Expenditure Panel Survey (MEPS). Atherosclerosis 2017, 258: 79-83. PMID: 28214425, DOI: 10.1016/j.atherosclerosis.2017.02.004.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedCardiovascular DiseasesCost SavingsDiabetes ComplicationsDiabetes MellitusFemaleHealth Care CostsHealth Care SurveysHealth ExpendituresHealth ResourcesHumansLogistic ModelsMaleMiddle AgedModels, EconomicOdds RatioProcess Assessment, Health CareRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeUnited StatesYoung AdultConceptsFavorable cardiovascular risk factor profileCardiovascular risk factor profileRisk factor profileDiabetes mellitusMedical Expenditure Panel SurveyLower healthcare expendituresCardiovascular diseaseCRF profileDM statusHealthcare expendituresFactor profileCVD-free individualsMean annual expenditureLifestyle modificationMean ageIndividualized prescriptionTwo-part econometric modelEconomic burdenTherapeutic treatmentMellitusDiseaseCost dataAnnual expenditureIndividualsResource utilization
2016
Economic Impact of Moderate‐Vigorous Physical Activity Among Those With and Without Established Cardiovascular Disease: 2012 Medical Expenditure Panel Survey
Valero‐Elizondo J, Salami JA, Osondu CU, Ogunmoroti O, Arrieta A, Spatz ES, Younus A, Rana JS, Virani SS, Blankstein R, Blaha MJ, Veledar E, Nasir K. Economic Impact of Moderate‐Vigorous Physical Activity Among Those With and Without Established Cardiovascular Disease: 2012 Medical Expenditure Panel Survey. Journal Of The American Heart Association 2016, 5: e003614. PMID: 27604455, PMCID: PMC5079024, DOI: 10.1161/jaha.116.003614.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedArrhythmias, CardiacCardiovascular DiseasesCase-Control StudiesCoronary Artery DiseaseDiabetes MellitusExerciseFemaleHealth ExpendituresHealth ServicesHeart FailureHumansHypercholesterolemiaHypertensionMaleMiddle AgedObesityPeripheral Arterial DiseaseRetrospective StudiesSmokingStrokeUnited StatesYoung AdultConceptsModerate-vigorous physical activityDays/weekPhysical activityHealth care expendituresTotal annual health care expendituresLower health care expendituresAnnual health care expendituresCare expendituresLower health care spendingModifiable risk factorsCardiovascular disease outcomesMedical Expenditure Panel SurveyFinal study sampleYears of ageQuality of lifeMedical Expenditure PanelLink logCVD statusHealth care spendingRisk factorsDisease outcomeStudy populationUS adultsRepresentative cohortTwo-part econometric modelDiabetes Mellitus and Outcomes of Cardiac Resynchronization With Implantable Cardioverter-Defibrillator Therapy in Older Patients With Heart Failure
Echouffo-Tcheugui JB, Masoudi FA, Bao H, Spatz ES, Fonarow GC. Diabetes Mellitus and Outcomes of Cardiac Resynchronization With Implantable Cardioverter-Defibrillator Therapy in Older Patients With Heart Failure. Circulation Arrhythmia And Electrophysiology 2016, 9: e004132. PMID: 27489243, DOI: 10.1161/circep.116.004132.Peer-Reviewed Original ResearchConceptsCardiac resynchronization therapyDevice-related complicationsDiabetes mellitusResynchronization therapyHeart failureHazard ratioOlder patientsHigh riskHeart failure-related readmissionsImplantable Cardioverter-Defibrillator RegistryImplantable cardioverter-defibrillator therapyNational Cardiovascular Data RegistryDiabetes mellitus statusCardioverter-defibrillator therapyCause readmissionMellitus statusDefibrillator implantationRenal failureProcedural complicationsCardiac resynchronizationDevice implantationQRS durationOdds ratioMellitusSimilar riskRisk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations
Spatz ES, Lipska KJ, Dai Y, Bao H, Lin Z, Parzynski CS, Altaf FK, Joyce EK, Montague JA, Ross JS, Bernheim SM, Krumholz HM, Drye EE. Risk-standardized Acute Admission Rates Among Patients With Diabetes and Heart Failure as a Measure of Quality of Accountable Care Organizations. Medical Care 2016, 54: 528-537. PMID: 26918404, PMCID: PMC5356461, DOI: 10.1097/mlr.0000000000000518.Peer-Reviewed Original ResearchConceptsHeart failure measuresAccountable care organizationsAcute admission ratesHeart failureAdmission ratesNational ratesUnplanned hospital admissionsHeart failure cohortRisk-adjustment variablesPopulation-based measuresCare organizationsOutcome measure developmentIntraclass correlation coefficientHospital admissionDiabetes measuresFailure cohortChronic conditionsMedicare feeDiabetesService beneficiariesPatientsMeet criteriaMeasures of qualitySocioeconomic statusPerformance categoriesA Systematic Review of the Prevalence and Outcomes of Ideal Cardiovascular Health in US and Non-US Populations
Younus A, Aneni EC, Spatz ES, Osondu CU, Roberson L, Ogunmoroti O, Malik R, Ali SS, Aziz M, Feldman T, Virani SS, Maziak W, Agatston AS, Veledar E, Nasir K. A Systematic Review of the Prevalence and Outcomes of Ideal Cardiovascular Health in US and Non-US Populations. Mayo Clinic Proceedings 2016, 91: 649-670. PMID: 27040086, DOI: 10.1016/j.mayocp.2016.01.019.Peer-Reviewed Original ResearchConceptsIdeal CVH metricsNon-CVD outcomesIdeal cardiovascular health metricsCVH metricsIdeal cardiovascular healthCardiovascular healthLow prevalenceAmerican Heart Association ideal cardiovascular health (CVH) metricsSystematic reviewMore ideal CVH metricsIncident cardiovascular eventsCardiovascular health metricsPopulation-based studyNon-US populationsCochrane RegisterCardiovascular eventsControlled TrialsUS cohortInverse associationCardiovascular diseaseCINAHL databasesMortality riskMortality studyCognitive impairmentUS population
2015
Geriatric Conditions in Patients Undergoing Defibrillator Implantation for Prevention of Sudden Cardiac Death
Green AR, Leff B, Wang Y, Spatz ES, Masoudi FA, Peterson PN, Daugherty SL, Matlock DD. Geriatric Conditions in Patients Undergoing Defibrillator Implantation for Prevention of Sudden Cardiac Death. Circulation Cardiovascular Quality And Outcomes 2015, 9: 23-30. PMID: 26715650, PMCID: PMC4759659, DOI: 10.1161/circoutcomes.115.002053.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCohort StudiesDeath, Sudden, CardiacDefibrillators, ImplantableDementiaDiabetes MellitusFemaleFrail ElderlyHeart FailureHumansLiver CirrhosisMaleNeoplasmsPrimary PreventionPulmonary Disease, Chronic ObstructiveRegistriesRenal Insufficiency, ChronicStrokeUnited StatesConceptsPrimary prevention ICDsPrevalence of frailtyICD implantationHeart failureGeriatric conditionsChronic conditionsMedicare patientsNational Cardiovascular Data Registry ICD RegistryPrimary prevention ICD implantationChronic obstructive pulmonary diseaseOne-year mortalityObstructive pulmonary diseaseCommon chronic conditionsSudden cardiac deathImpact of multimorbidityClaims-based algorithmLogistic regression modelsFrail patientsDefibrillator implantationOverall cohortPatient characteristicsCardiac deathDiabetes mellitusICD RegistryPulmonary disease