2024
Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities
Katz M, Mszar R, Grimshaw A, Gunderson C, Onuma O, Lu Y, Spatz E. Digital Health Interventions for Hypertension Management in US Populations Experiencing Health Disparities. JAMA Network Open 2024, 7: e2356070. PMID: 38353950, PMCID: PMC10867699, DOI: 10.1001/jamanetworkopen.2023.56070.Peer-Reviewed Original ResearchConceptsDigital health interventionsHealth disparitiesHealth interventionsSystematic reviewSystolic BPSocial determinants of healthHypertension managementCommunity health workersFactors associated with cardiovascular diseaseDeterminants of healthLeveraging digital healthRemote BP monitoringDigital health technologiesStandard care groupMeta-analysisBlood pressureDiastolic BPPreferred Reporting ItemsControl groupSystolic BP changeBaseline to 6Random-effects modelSkilled nursingCultural tailoringSocial determinants
2023
Classification of blood pressure during sleep impacts designation of nocturnal nondipping
Mortazavi B, Martinez-Brockman J, Tessier-Sherman B, Burg M, Miller M, Nowroozilarki Z, Adams O, Maharaj R, Nazario C, Nunez M, Nunez-Smith M, Spatz E. Classification of blood pressure during sleep impacts designation of nocturnal nondipping. PLOS Digital Health 2023, 2: e0000267. PMID: 37310958, PMCID: PMC10263317, DOI: 10.1371/journal.pdig.0000267.Peer-Reviewed Original ResearchAmbulatory blood pressure monitorBlood pressure monitorNocturnal nondippingBlood pressurePressure monitorAmbulatory blood pressure monitoringClinic blood pressure measurementsAmbulatory blood pressureFuture cardiovascular riskBlood pressure monitoringSleep periodBlood pressure measurementsCardiovascular riskHypertension StudyTotal sleep lengthCardiovascular diseaseNondippingSleep qualitySleep efficiencyPressure monitoringSleep patternsSecondary analysisSleep onsetSleep lengthFleiss' kappaDeveloping an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records
Lu Y, Du C, Khidir H, Caraballo C, Mahajan S, Spatz E, Curry L, Krumholz H. Developing an Actionable Taxonomy of Persistent Hypertension Using Electronic Health Records. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009453. PMID: 36727515, DOI: 10.1161/circoutcomes.122.009453.Peer-Reviewed Original ResearchConceptsPersistent hypertensionElectronic health recordsBlood pressureHealth recordsPharmacologic agentsPrescribed treatmentYale New Haven Health SystemTreatment planAdditional pharmacologic agentsAntihypertensive treatment intensificationConsecutive outpatient visitsElevated blood pressurePersistence of hypertensionElectronic health record dataHealth record dataEligible patientsTreatment intensificationChart reviewHispanic patientsOutpatient visitsMean agePharmacological treatmentConventional content analysisHypertensionClinician notesPrimary care institutional characteristics associated with hypertension awareness, treatment, and control in the China PEACE-Million Persons Project and primary health-care survey: a cross-sectional study
Group C, Zhou T, Wang Y, Zhang H, Wu C, Tian N, Cui J, Bai X, Yang Y, Zhang X, Lu Y, Spatz E, Ross J, Krumholz H, Lu J, Li X, Hu S. Primary care institutional characteristics associated with hypertension awareness, treatment, and control in the China PEACE-Million Persons Project and primary health-care survey: a cross-sectional study. The Lancet Global Health 2023, 11: e83-e94. PMID: 36521957, DOI: 10.1016/s2214-109x(22)00428-4.Peer-Reviewed Original ResearchConceptsProportion of participantsPrimary care institutionsHypertension awarenessPrimary care systemBlood pressureCare institutionsCardiac Events Million Persons ProjectAverage diastolic blood pressureMedical Sciences (CAMS) Innovation FundAverage systolic blood pressureCare systemMillion Persons ProjectHistory of hypertensionDiastolic blood pressurePrimary care surveySystolic blood pressureCardiovascular disease riskBlood pressure measurementsCross-sectional studyParticipant-level dataProportion of physiciansRoutine service deliveryPrimary care roleHealth Care SurveyPublic health services
2019
Phenotypes of Hypertensive Ambulatory Blood Pressure Patterns: Design and Rationale of the ECHORN Hypertension Study.
Spatz ES, Martinez-Brockman JL, Tessier-Sherman B, Mortazavi B, Roy B, Schwartz JI, Nazario CM, Maharaj R, Nunez M, Adams OP, Burg M, Nunez-Smith M. Phenotypes of Hypertensive Ambulatory Blood Pressure Patterns: Design and Rationale of the ECHORN Hypertension Study. Ethnicity & Disease 2019, 29: 535-544. PMID: 31641320, PMCID: PMC6802166, DOI: 10.18865/ed.29.4.535.Peer-Reviewed Original ResearchConceptsAmbulatory blood pressure measurementsABPM patternsBP patternAmbulatory blood pressure patternsMore precision-based approachesAmbulatory BP patternsDiagnosis of HTNTreatment of HTNBlood pressure patternWave 2High-risk populationBlood pressure measurementsCommunity-residing adultsPrecision-based approachesAntihypertensive medicationsBlood pressureProspective studyHypertension StudyHypertensive phenotypeCardiovascular diseaseParent studyHTNEcological momentary assessmentSelf-report surveyHigh ratePrevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project
Mahajan S, Zhang D, He S, Lu Y, Gupta A, Spatz ES, Lu J, Huang C, Herrin J, Liu S, Yang J, Wu C, Cui J, Zhang Q, Li X, Nasir K, Zheng X, Krumholz HM, Li J, Dong Z, Jiang B, Zhang Y, Liu Y, Meng Y, Xi Y, Tian Y, Fu Y, Liu T, Yan S, Jin L, Wang J, Xu X, Xing X, Zhang L, Fang X, Xu Y, Xu C, Fan L, Qi M, Qi J, Li J, Liu Q, Feng Y, Wang J, Wen H, Xu J, He J, Jiang C, Yang C, Yu Y, Tashi Z, Hu Z, Zhang J, Li X, Ma S, Ma Y, Huang Y, Zhang Y, Shen J. Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project. Journal Of The American Heart Association 2019, 8: e012954. PMID: 31566101, PMCID: PMC6806046, DOI: 10.1161/jaha.119.012954.Peer-Reviewed Original ResearchConceptsMillion Persons ProjectPrior cardiovascular eventsBody mass indexAntihypertensive medicationsDiastolic hypertensionCardiovascular eventsDiabetes mellitusMass indexIsolated diastolic hypertensionDiastolic blood pressureSelf-reported diagnosisTreatment of peoplePersons ProjectBlood pressureTreatment patternsHypertensionLeast collegeHigher likelihoodMellitusMedicationsPrevalenceTreatmentDiagnosisSubstantial numberCurrent useHemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance
Mahajan S, Gu J, Lu Y, Khera R, Spatz ES, Zhang M, Sun N, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance. The American Journal Of Medicine 2019, 133: e127-e139. PMID: 31525336, DOI: 10.1016/j.amjmed.2019.08.042.Peer-Reviewed Original ResearchConceptsSystemic vascular resistance indexVascular resistance indexSystemic vascular resistanceCardiac indexBlood pressure categoriesResistance index ratioResistance indexVascular resistanceCardiac outputBlood pressureHemodynamic phenotypesPressure categoriesHigh systemic vascular resistance indexNormal systemic vascular resistance indexSystolic blood pressure 140Systolic blood pressure categoriesBlood pressure 140Health checkup centerNormal cardiac indexLow cardiac indexStroke volume indexHigher cardiac indexSystolic blood pressureBody mass indexSubtypes of hypertensionEffects 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 adherenceDisparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomesEffect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease
Zheng X, Spatz ES, Bai X, Huo X, Ding Q, Horak P, Wu X, Guan W, Chow CK, Yan X, Sun Y, Wang X, Zhang H, Liu J, Li J, Li X, Spertus JA, Masoudi FA, Krumholz HM. Effect of Text Messaging on Risk Factor Management in Patients With Coronary Heart Disease. Circulation Cardiovascular Quality And Outcomes 2019, 12: e005616. PMID: 30998400, DOI: 10.1161/circoutcomes.119.005616.Peer-Reviewed Original ResearchMeSH KeywordsAgedAsian PeopleBlood PressureChinaCoronary DiseaseCulturally Competent CareFemaleHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPatient Education as TopicRisk AssessmentRisk FactorsSecondary PreventionSingle-Blind MethodTelemedicineText MessagingTime FactorsTreatment OutcomeConceptsCoronary heart diseaseSystolic blood pressureBody mass indexBlood pressureHeart diseaseSecondary preventionIntervention groupPhysical activityEnd pointSmoking statusMass indexControl groupPrimary end pointRisk factor controlSecondary end pointsRisk factor managementLDL-C levelsDisease-specific knowledgeMobile phone textMobile health technologyUsual careDiabetes mellitusMedication adherenceRisk factorsFactor management
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
Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)
Lu J, Lu Y, Wang X, Li X, Linderman GC, Wu C, Cheng X, Mu L, Zhang H, Liu J, Su M, Zhao H, Spatz ES, Spertus JA, Masoudi FA, Krumholz HM, Jiang L. Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project). The Lancet 2017, 390: 2549-2558. PMID: 29102084, DOI: 10.1016/s0140-6736(17)32478-9.Peer-Reviewed Original ResearchConceptsControl of hypertensionBlood pressureAntihypertensive medicationsCardiac Events Million Persons ProjectSelf-reported antihypertensive medication usePopulation-based screening studyPopulation-based screening projectMillion Persons ProjectPrescribed antihypertensive medicationsPrevious cardiovascular eventsAntihypertensive medication useDiastolic blood pressureSystolic blood pressureManagement of hypertensionCalcium channel blockersProportion of participantsSelf-reported diagnosisCommunity-dwelling adultsSex-standardised ratesCardiovascular eventsHypertensive adultsMedication classesHypertension awarenessHypertension prevalenceClinical factors
2016
Prevalence of ideal cardiovascular health metrics in children & adolescents: A systematic review
Pacor J, Younus A, Malik R, Osondu C, Aziz M, Ogunmoroti O, Younus M, Aneni E, Spatz E, Humayun C, Virani S, Blaha M, Nasir K. Prevalence of ideal cardiovascular health metrics in children & adolescents: A systematic review. Progress In Pediatric Cardiology 2016, 43: 141-146. DOI: 10.1016/j.ppedcard.2016.09.002.Peer-Reviewed Original ResearchIdeal CVH metricsIdeal cardiovascular healthCVH metricsCardiovascular healthPhysical activityLow prevalenceSystematic reviewIdeal cardiovascular health metricsIdeal blood pressureCardiovascular health metricsMEDLINE database searchBlood pressurePlasma glucoseExclusion criteriaIndependent reviewersHealthy dietPrevalence dataPrevalenceAvailable evidenceChild populationPrevalence percentageYoung populationHealth metricsBMIDietNutritional Supplements for the Treatment of Hypertension: A Practical Guide for Clinicians
Turner JM, Spatz ES. Nutritional Supplements for the Treatment of Hypertension: A Practical Guide for Clinicians. Current Cardiology Reports 2016, 18: 126. PMID: 27796863, DOI: 10.1007/s11886-016-0806-x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsThe Effectiveness of a Worksite Lifestyle Intervention Program on High-Risk Individuals as Potential Candidates for Bariatric Surgery: My Unlimited Potential (MyUP)
Osondu CU, Aneni EC, Shaharyar S, Roberson L, Rouseff M, Das S, Spatz E, Younus A, Guzman H, Brown D, Santiago-Charles J, Ochoa T, Mora J, Gilliam C, Lehn V, Sherriff S, Tran T, Gonzalez A, Virani S, Feldman T, Agatston AS, Nasir K. The Effectiveness of a Worksite Lifestyle Intervention Program on High-Risk Individuals as Potential Candidates for Bariatric Surgery: My Unlimited Potential (MyUP). Population Health Management 2016, 19: 368-375. PMID: 26760281, DOI: 10.1089/pop.2015.0111.Peer-Reviewed Original ResearchConceptsBody mass indexCardiometabolic risk factorsBariatric surgeryBlood pressureMass indexEligible participantsRisk factorsBaptist Health South FloridaLifestyle intervention programDiastolic blood pressureSystolic blood pressureCardiovascular disease riskPhysical activity interventionsHigh-risk individualsPersonalized diet planParticipants' body mass indexProgram completersWorkplace wellness programsLifestyle interventionSevere obesityHemoglobin A1cTotal cholesterolTreat analysisActivity interventionsLifestyle program
2015
Trends in Ideal Cardiovascular Health Metrics Among Employees of a Large Healthcare Organization (from the Baptist Health South Florida Employee Study)
Ogunmoroti O, Utuama O, Spatz ES, Rouseff M, Parris D, Das S, Younus A, Guzman H, Tran T, Agatston A, Feldman T, Virani SS, Maziak W, Veledar E, Nasir K. Trends in Ideal Cardiovascular Health Metrics Among Employees of a Large Healthcare Organization (from the Baptist Health South Florida Employee Study). The American Journal Of Cardiology 2015, 117: 787-793. PMID: 26754123, DOI: 10.1016/j.amjcard.2015.11.061.Peer-Reviewed Original ResearchConceptsBody mass indexIdeal cardiovascular healthCardiovascular healthCVH metricsBlood pressureTotal cholesterolBlood glucosePhysical activityComprehensive workplace wellness programIdeal cardiovascular health metricsStudy participantsHealth risk assessmentCardiovascular health metricsCochrane-Armitage testBaptist Health SystemCohort of employeesWorkplace wellness programsLarge health care organizationOverall cohortAHA criteriaMass indexMean ageHealth fairsCardiovascular diseaseMale ratioOne‐year outcomes of an intense workplace cardio‐metabolic risk reduction program among high‐risk employees: The My Unlimited Potential
Rouseff M, Aneni EC, Guzman H, Das S, Brown D, Osondu CU, Spatz E, Shaffer B, Santiago-Charles J, Ochoa T, Mora J, Gilliam C, Lehn V, Sherriff S, Tran TH, Post J, Veledar E, Feldman T, Agatston AS, Nasir K. One‐year outcomes of an intense workplace cardio‐metabolic risk reduction program among high‐risk employees: The My Unlimited Potential. Obesity 2015, 24: 71-78. PMID: 26637983, DOI: 10.1002/oby.21324.Peer-Reviewed Original ResearchConceptsBody mass indexDiastolic blood pressureSystolic blood pressureCardio-metabolic risk factorsMean body mass indexHigh-risk employeesBlood pressureRisk factorsHigh-sensitivity C-reactive proteinHigh cardiovascular disease riskCardio-metabolic outcomesPoor BP controlBaptist Health South FloridaLifestyle change programLifestyle intervention programOne-year outcomesCardiovascular disease riskC-reactive proteinBP controlCVD riskRisk reduction programsSerum lipidsHemoglobin A1cTotal cholesterolMass index