2023
Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression models
2019
Prevalence, 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 adherenceEffect 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
Design and rationale of the Cardiovascular Health and Text Messaging (CHAT) Study and the CHAT-Diabetes Mellitus (CHAT-DM) Study: two randomised controlled trials of text messaging to improve secondary prevention for coronary heart disease and diabetes
Huo X, Spatz ES, Ding Q, Horak P, Zheng X, Masters C, Zhang H, Irwin ML, Yan X, Guan W, Li J, Li X, Spertus JA, Masoudi FA, Krumholz HM, Jiang L. Design and rationale of the Cardiovascular Health and Text Messaging (CHAT) Study and the CHAT-Diabetes Mellitus (CHAT-DM) Study: two randomised controlled trials of text messaging to improve secondary prevention for coronary heart disease and diabetes. BMJ Open 2017, 7: e018302. PMID: 29273661, PMCID: PMC5778311, DOI: 10.1136/bmjopen-2017-018302.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overBlood PressureChinaCoronary DiseaseDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2ExerciseFemaleGlycated HemoglobinHumansLife StyleMaleMedication AdherenceMiddle AgedMotivationResearch DesignRisk FactorsSecondary PreventionSelf CareSingle-Blind MethodTelemedicineText MessagingYoung AdultConceptsSystolic blood pressureBody mass indexTrials of textProportion of patientsMedication adherencePhysical activitySecondary outcomesPrimary outcomeSmoking cessationCardiovascular healthMellitus StudySecondary coronary heart disease preventionCoronary heart disease preventionLow-density lipoprotein cholesterolUsual scientific forumsBlood pressure controlRisk factor managementHeart disease preventionCoronary heart diseaseMobile health interventionsInstitutional review boardUniversity Institutional Review BoardBehavioral skills modelText messagingBehavioral change techniques
2016
The 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