2023
Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020
Dhingra L, Aminorroaya A, Oikonomou E, Nargesi A, Wilson F, Krumholz H, Khera R. Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020. JAMA Network Open 2023, 6: e2316634. PMID: 37285157, PMCID: PMC10248745, DOI: 10.1001/jamanetworkopen.2023.16634.Peer-Reviewed Original ResearchConceptsHealth Information National Trends SurveyUS adultsExacerbate disparitiesWearable device usersCardiovascular diseaseCardiovascular healthPopulation-based cross-sectional studySelf-reported cardiovascular diseaseCardiovascular disease risk factorsNational Trends SurveyOverall US adult populationCardiovascular risk factor profileSelf-reported accessAssociated with lower useUse of wearable devicesImprove cardiovascular healthLower household incomeLower educational attainmentUS adult populationRisk factor profileNationally representative sampleCross-sectional studyProportion of adultsTrends SurveyWearable device data
2022
Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults
Lu Y, Li SX, Liu Y, Rodriguez F, Watson KE, Dreyer RP, Khera R, Murugiah K, D’Onofrio G, Spatz ES, Nasir K, Masoudi FA, Krumholz HM. Sex-Specific Risk Factors Associated With First Acute Myocardial Infarction in Young Adults. JAMA Network Open 2022, 5: e229953. PMID: 35503221, PMCID: PMC9066284, DOI: 10.1001/jamanetworkopen.2022.9953.Peer-Reviewed Original ResearchConceptsFirst acute myocardial infarctionAcute myocardial infarctionPsychosocial risk factorsRisk factor profilePopulation attributable fractionRisk factor associationsRisk factorsOdds ratioYoung womenAMI subtypesMyocardial infarctionPrevention of AMIType 1 acute myocardial infarctionFactor profileRisk of AMITraditional cardiovascular risk factorsSex-specific risk factorsFactor associationsYoung adultsRisk factor modificationCardiovascular risk factorsStrong associationNutrition Examination SurveyCase-control studyPopulation-based controls
2019
World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
Group T, Kaptoge S, Pennells L, De Bacquer D, Cooney M, Kavousi M, Stevens G, Riley L, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens J, Björkelund C, Blaha M, Blazer D, Bolton T, Beaglehole R, Brenner H, Brunner E, Casiglia E, Chamnan P, Choi Y, Chowdry R, Coady S, Crespo C, Cushman M, Dagenais G, D'Agostino R, Daimon M, Davidson K, Engström G, Ford I, Gallacher J, Gansevoort R, Gaziano T, Giampaoli S, Grandits G, Grimsgaard S, Grobbee D, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema J, Kauhanen J, Kengne A, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam T, Laughlin G, Ibañez A, Meade T, Moons K, Nietert P, Ninomiya T, Nordestgaard B, O'Donnell C, Palmieri L, Patel A, Perel P, Price J, Providencia R, Ridker P, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw J, Shin H, Simons L, Sofianopoulou E, Sundström J, Völzke H, Wallace R, Wareham N, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. The Lancet Global Health 2019, 7: e1332-e1345. PMID: 31488387, PMCID: PMC7025029, DOI: 10.1016/s2214-109x(19)30318-3.Peer-Reviewed Original ResearchConceptsRisk prediction modelSystolic blood pressureCardiovascular disease riskBritish Heart FoundationIndividual participant dataCardiovascular diseaseBlood pressureTotal cholesterolC-indexFatal coronary heart diseaseNon-fatal cardiovascular diseaseDisease riskCardiovascular disease risk predictionParticipant dataIncident cardiovascular eventsHistory of diabetesRisk factor profileRisk prediction chartsWHO STEPwise approachSex-specific incidenceUK Medical Research CouncilCoronary heart diseaseFirst myocardial infarctionExternal validation cohortHarrell's C-index
2018
Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies
Pennells L, Kaptoge S, Wood A, Sweeting M, Zhao X, White I, Burgess S, Willeit P, Bolton T, Moons KGM, van der Schouw YT, Selmer R, Khaw KT, Gudnason V, Assmann G, Amouyel P, Salomaa V, Kivimaki M, Nordestgaard BG, Blaha MJ, Kuller LH, Brenner H, Gillum RF, Meisinger C, Ford I, Knuiman MW, Rosengren A, Lawlor DA, Völzke H, Cooper C, Ibañez A, Casiglia E, Kauhanen J, Cooper JA, Rodriguez B, Sundström J, Barrett-Connor E, Dankner R, Nietert PJ, Davidson KW, Wallace RB, Blazer DG, Björkelund C, Donfrancesco C, Krumholz HM, Nissinen A, Davis BR, Coady S, Whincup PH, Jørgensen T, Ducimetiere P, Trevisan M, Engström G, Crespo CJ, Meade TW, Visser M, Kromhout D, Kiechl S, Daimon M, Price JF, de la Cámara A, Jukema J, Lamarche B, Onat A, Simons LA, Kavousi M, Ben-Shlomo Y, Gallacher J, Dekker JM, Arima H, Shara N, Tipping RW, Roussel R, Brunner EJ, Koenig W, Sakurai M, Pavlovic J, Gansevoort RT, Nagel D, Goldbourt U, Barr ELM, Palmieri L, Njølstad I, Sato S, Verschuren W, Varghese CV, Graham I, Onuma O, Greenland P, Woodward M, Ezzati M, Psaty BM, Sattar N, Jackson R, Ridker PM, Cook NR, D'Agostino RB, Thompson SG, Danesh J, Di Angelantonio E, Tipping R, Simpson L, Pressel S, Couper D, Nambi V, Matsushita K, Folsom A, Shaw J, Magliano D, Zimmet P, Knuiman M, Whincup P, Wannamethee S, Willeit J, Santer P, Egger G, Casas J, Amuzu A, Ben-Shlomo Y, Gallacher J, Tikhonoff V, Casiglia E, Sutherland S, Nietert P, Cushman M, Psaty B, Søgaard A, Håheim L, Ariansen I, Tybjærg-Hansen A, Jensen G, Schnohr P, Giampaoli S, Vanuzzo D, Panico S, Palmieri L, Balkau B, Bonnet F, Marre M, de la Cámara A, Herrera M, Friedlander Y, McCallum J, McLachlan S, Guralnik J, Phillips C, Guralnik J, Guralnik J, Guralnik J, Khaw K, Wareham N, Schöttker B, Saum K, Holleczek B, Nissinen A, Tolonen H, Giampaoli S, Donfrancesco C, Vartiainen E, Jousilahti P, Harald K, D’Agostino R, Massaro J, Pencina M, Vasan R, D’Agostino R, Massaro J, Pencina M, Vasan R, Kayama T, Kato T, Oizumi T, Jespersen J, Møller L, Bladbjerg E, Chetrit A, Rosengren A, Wilhelmsen L, Björkelund C, Lissner L, Nagel D, Dennison E, Kiyohara Y, Ninomiya T, Doi Y, Rodriguez B, Nijpels G, Stehouwer C, Sato S, Kazumasa Y, Iso H, Goldbourt U, Salomaa V, Vartiainen E, Kurl S, Tuomainen T, Salonen J, Visser M, Deeg D, Meade T, Nilsson P, Hedblad B, Melander O, De Boer I, DeFilippis A, Verschuren W, Sattar N, Watt G, Meisinger C, Koenig W, Koenig W, Meisinger C, Verschuren W, Rosengren A, Kuller L, Tverdal A, Gillum R, Cooper J, Kirkland S, Shimbo D, Shaffer J, Sato S, Kazumasa Y, Iso H, Ducimetiere P, Bakker S, van der Harst P, Hillege H, Crespo C, Amouyel P, Dallongeville J, Assmann G, Schulte H, Trompet S, Smit R, Stott D, van der Schouw Y, Després J, Cantin B, Dagenais G, Laughlin G, Wingard D, Khaw K, Trevisan M, Aspelund T, Eiriksdottir G, Gudmundsson E, Ikram A, van Rooij F, Franco O, Rueda-Ochoa O, Muka T, Glisic M, Tunstall-Pedoe H, Völzke H, Howard B, Zhang Y, Jolly S, Gallacher J, Davey-Smith G, Can G, Yüksel H, Nakagawa H, Morikawa Y, Miura K, Njølstad I, Ingelsson M, Giedraitis V, Ridker P, Gaziano J, Kivimaki M, Shipley M, Brunner E, Shipley M, Arndt V, Brenner H, Cook N, Ridker P, Ford I, Sattar N, Ibañez A, Geleijnse J. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. European Heart Journal 2018, 40: 621-631. PMID: 30476079, PMCID: PMC6374687, DOI: 10.1093/eurheartj/ehy653.Peer-Reviewed Original ResearchConceptsSystematic Coronary Risk EvaluationReynolds Risk ScoreFramingham risk scoreRisk algorithmStatin therapyCVD riskProspective studyRisk discriminationRisk scoreCardiovascular disease risk estimationPrimary prevention guidelinesCoronary Risk EvaluationRisk factor profileYear CVD riskCardiovascular risk algorithmsCVD risk algorithmsIndividual participant dataDisease risk estimationCohort EquationsCVD eventsCVD incidencePrevention guidelinesHigh riskFactor profileHead comparisonComparison 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
2015
Qingdao Port Cardiovascular Health Study: a prospective cohort study
Spatz ES, Jiang X, Lu J, Masoudi FA, Spertus JA, Wang Y, Li X, Downing NS, Nasir K, Du X, Li J, Krumholz HM, Liu X, Jiang L. Qingdao Port Cardiovascular Health Study: a prospective cohort study. BMJ Open 2015, 5: e008403. PMID: 26656011, PMCID: PMC4679897, DOI: 10.1136/bmjopen-2015-008403.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCohort StudiesCost of IllnessDiabetes Mellitus, Type 2Early DiagnosisEnvironmental ExposureFemaleHealth BehaviorHealth SurveysHumansHyperlipidemiasHypertensionIncidenceMaleMiddle AgedOccupational ExposurePhysical ExaminationPreventive Health ServicesProspective StudiesRisk FactorsSelf ReportSocioeconomic FactorsWorkplaceConceptsAnnual health assessmentCardiovascular diseaseRisk factorsUnique risk factor profileCardiovascular risk factorsClinical risk factorsProspective cohort studyRisk factor profileHospital medical recordsCardiovascular Health StudyPopulation-based studyPopulation-based strategiesHealth assessmentCardiovascular outcomesCohort studyCarotid ultrasoundMean agePhysical examinationCardiovascular healthHeart diseaseMedical recordsDisease onsetMedical insurance claimsHealth StudyUrine analysis