2024
Optimizing antithrombotic therapy in patients with coexisting cardiovascular and gastrointestinal disease
Talasaz A, Sadeghipour P, Ortega-Paz L, Kakavand H, Aghakouchakzadeh M, Beavers C, Fanikos J, Eikelboom J, Siegal D, Monreal M, Jimenez D, Vaduganathan M, Castellucci L, Cuker A, Barnes G, Connors J, Secemsky E, Van Tassell B, De Caterina R, Kurlander J, Aminian A, Piazza G, Goldhaber S, Moores L, Middeldorp S, Kirtane A, Elkind M, Angiolillo D, Konstantinides S, Lip G, Stone G, Cushman M, Krumholz H, Mehran R, Bhatt D, Bikdeli B. Optimizing antithrombotic therapy in patients with coexisting cardiovascular and gastrointestinal disease. Nature Reviews Cardiology 2024, 21: 574-592. PMID: 38509244, DOI: 10.1038/s41569-024-01003-3.Peer-Reviewed Original ResearchRisk of gastrointestinal bleedingGastrointestinal bleedingAntithrombotic therapyHigh risk of gastrointestinal bleedingIncreased risk of bleedingRisk of bleedingGastrointestinal diseasesEfficacy of antithrombotic agentsAntithrombotic regimensConcomitant medicationsRisk stratificationClinical evidenceGastrointestinal comorbiditiesMultidisciplinary discussionAntithrombotic drugsAntithrombotic agentsIncreased riskHigh riskPatientsGastrointestinal disordersCardiovascular diseaseTherapyBleedingDiseaseMedical societies
2023
Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM
Khera R, Dhingra L, Aminorroaya A, Li K, Zhou J, Arshad F, Blacketer C, Bowring M, Bu F, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Horban S, Lau W, Li J, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLemore M, Minty E, Morales D, Nagy P, Nishimura A, Ostropolets A, Pistillo A, Posada J, Pratt N, Reyes C, Ross J, Seager S, Shah N, Simon K, Wan E, Yang J, Yin C, You S, Schuemie M, Ryan P, Hripcsak G, Krumholz H, Suchard M. Multinational patterns of second line antihyperglycaemic drug initiation across cardiovascular risk groups: federated pharmacoepidemiological evaluation in LEGEND-T2DM. BMJ Medicine 2023, 2: e000651. PMID: 37829182, PMCID: PMC10565313, DOI: 10.1136/bmjmed-2023-000651.Peer-Reviewed Original ResearchType 2 diabetes mellitusSecond-line treatmentCardiovascular risk groupsDiabetes mellitusCardiovascular diseaseAntihyperglycaemic drugsLine treatmentRisk groupsObservational Health Data SciencesGlucagon-like peptide-1 receptor agonistsElectronic health recordsSodium-glucose cotransporter 2 inhibitorsCalendar year trendsPeptide-1 receptor agonistsUS databaseOutcomes of patientsCotransporter 2 inhibitorsAdministrative claims databaseSecond-line drugsHealth recordsSodium-glucose cotransporter-2 inhibitorsMedication useMetformin monotherapyGuideline recommendationsOutcome measuresUse of Smart Devices to Track Cardiovascular Health Goals in the United States
Aminorroaya A, Dhingra L, Nargesi A, Oikonomou E, Krumholz H, Khera R. Use of Smart Devices to Track Cardiovascular Health Goals in the United States. JACC Advances 2023, 2: 100544. PMID: 38094515, PMCID: PMC10718569, DOI: 10.1016/j.jacadv.2023.100544.Peer-Reviewed Original ResearchHealth goalsRisk of cardiovascular diseaseCardiovascular risk factorsNationally representative Health Information National Trends SurveyHealth Information National Trends SurveyU.S. adultsCardiovascular diseaseNational Trends SurveyRisk factors of hypertensionDigital health interventionsCardiovascular health goalsHealth-related goalsRisk of CVDFactors of hypertensionU.S. adult populationCardiovascular risk managementHigher educational attainmentLow-income individualsSmart devicesTrends SurveyImprove careHealth interventionsNational estimatesRisk factorsSurvey participantsUse 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 dataSex-Related Differences in Patient Characteristics, Risk Factors, and Symptomatology in Older Adults with Pulmonary Embolism: Findings from the SERIOUS-PE Study
Bikdeli B, Muriel A, Wang Y, Piazza G, Khairani C, Rosovsky R, Mehdipoor G, O'Donoghue M, Madridano O, Lopez-Saez J, Mellado M, Brasero A, Grandone E, Spagnolo P, Lu Y, Bertoletti L, López-Jiménez L, Núñez M, Blanco-Molina Á, Gerhard-Herman M, Goldhaber S, Bates S, Jimenez D, Krumholz H, Monreal M. Sex-Related Differences in Patient Characteristics, Risk Factors, and Symptomatology in Older Adults with Pulmonary Embolism: Findings from the SERIOUS-PE Study. Seminars In Thrombosis And Hemostasis 2023, 49: 725-735. PMID: 36868268, DOI: 10.1055/s-0043-1764231.Peer-Reviewed Original ResearchConceptsOlder adultsClinical characteristicsRisk factorsElderly womenPE risk stratificationTransient provoking factorsRelevant clinical characteristicsSex differencesWarrants further investigationSex-related differencesSex-specific factorsClot burdenPE presentationChest painHormonal therapyHormone therapyPatient characteristicsPulmonary embolismYounger patientsAtherosclerotic diseaseRisk stratificationLung diseaseMedicare databaseProvoking factorsCardiovascular disease
2022
Clinical decision support in cardiovascular medicine
Lu Y, Melnick ER, Krumholz HM. Clinical decision support in cardiovascular medicine. The BMJ 2022, 377: e059818. PMID: 35613721, DOI: 10.1136/bmj-2020-059818.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseCardiovascular careEffectiveness of CDSRisk factor modificationClinical decision support toolQuality of careClinical decision supportClinical outcomesFactor modificationHealth information technologyClinical practicePatient careDiseaseCardiovascular medicineCDS effectivenessCareEffectiveness of deliveryMissed opportunityTreatmentFailureProper evidenceHealthcare processesMedicineEvidencePreventionA prospective cohort study examining exposure to incarceration and cardiovascular disease (Justice-Involved Individuals Cardiovascular Disease Epidemiology – JUSTICE study): a protocol paper
Howell BA, Puglisi LB, Aminawung J, Domingo KB, Elumn J, Gallagher C, Horton N, Kazi DS, Krumholz HM, Lin HJ, Roy B, Wang EA. A prospective cohort study examining exposure to incarceration and cardiovascular disease (Justice-Involved Individuals Cardiovascular Disease Epidemiology – JUSTICE study): a protocol paper. BMC Public Health 2022, 22: 331. PMID: 35172807, PMCID: PMC8848673, DOI: 10.1186/s12889-022-12688-x.Peer-Reviewed Original ResearchConceptsCardiovascular risk factorsProspective cohort studyRisk factorsCardiovascular diseaseCardiovascular riskCohort studyCVD riskPsychosocial factorsCVD risk factor controlRisk factor controlClinical risk factorsTraditional risk factorsHealth care useIncarceration exposureIndex releaseCVD morbidityCVD incidenceJail/prisonCare useDiscussionOur studyLeading causeClinical measuresPsychosocial stressEpidemiology studiesProtocol paper
2021
Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States
Sangha V, Lipska K, Lin Z, Inzucchi SE, McGuire DK, Krumholz HM, Khera R. Patterns of Prescribing Sodium-Glucose Cotransporter-2 Inhibitors for Medicare Beneficiaries in the United States. Circulation Cardiovascular Quality And Outcomes 2021, 14: e008381. PMID: 34779654, PMCID: PMC9022137, DOI: 10.1161/circoutcomes.121.008381.Peer-Reviewed Original ResearchConceptsType 2 diabetesMedicare beneficiariesSodium-glucose cotransporter 2 inhibitorsLarge randomized clinical trialsMedicare Part D prescriber dataChronic kidney diseaseCotransporter 2 inhibitorsAtherosclerotic cardiovascular diseasePercent of cliniciansRandomized clinical trialsUS Medicare beneficiariesAdvanced practice providersCross-sectional studyKidney outcomesSGLT2i useSulfonylurea prescriptionUnique cliniciansCardiovascular deathMedication classesKidney diseaseLabel indicationsClinical trialsSGLT2iCardiovascular diseasePractice providersPrevalence of Dyslipidemia and Availability of Lipid-Lowering Medications Among Primary Health Care Settings in China
Lu Y, Zhang H, Lu J, Ding Q, Li X, Wang X, Sun D, Tan L, Mu L, Liu J, Feng F, Yang H, Zhao H, Schulz WL, Krumholz HM, Pan X, Li J, Huang C, Dong Z, Jiang B, Guo Z, Zhang Y, Sun J, Liu Y, Ren Z, Meng Y, Wang Z, Xi Y, Xing L, Tian Y, Liu J, Fu Y, Liu T, Sun W, Yan S, Jin L, Zheng Y, Wang J, Yan J, Xu X, Chen Y, Xing X, Zhang L, Zhong W, Fang X, Zhu L, Xu Y, Guo X, Xu C, Zhou G, Fan L, Qi M, Zhu S, Qi J, Li J, Yin L, Liu Q, Geng Q, Feng Y, Wang J, Wen H, Han X, Liu P, Ding X, Xu J, Deng Y, He J, Liu G, Jiang C, Zha S, Yang C, Bai G, Yu Y, Tashi Z, Qiu L, Hu Z, He H, Zhang J, Zhou M, Li X, Zhao J, Ma S, Ma Y, Huang Y, Zhang Y, Li F, Shen J. Prevalence of Dyslipidemia and Availability of Lipid-Lowering Medications Among Primary Health Care Settings in China. JAMA Network Open 2021, 4: e2127573. PMID: 34586366, PMCID: PMC8482054, DOI: 10.1001/jamanetworkopen.2021.27573.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseLipid-lowering medicationsPrimary care institutionsPrevalence of dyslipidemiaControl of dyslipidemiaLipoprotein cholesterolCare institutionsControl rateFemale sexCardiovascular diseaseMAIN OUTCOMEHigh riskNonstatin lipid-lowering drugsHigh-density lipoprotein cholesterolLow-density lipoprotein cholesterolPrimary health care settingsMajor public health problemLipid lowering medicationsMillion Persons ProjectOverall control rateLDL-C levelsLipid-lowering drugsCross-sectional studyPublic health problemHealth care settingsChanges in ST segment elevation myocardial infarction hospitalisations in China from 2011 to 2015
Zhou T, Li X, Lu Y, Murugiah K, Bai X, Hu S, Gao Y, Masoudi FA, Krumholz HM, Li J, . Changes in ST segment elevation myocardial infarction hospitalisations in China from 2011 to 2015. Open Heart 2021, 8: e001666. PMID: 34599073, PMCID: PMC8488733, DOI: 10.1136/openhrt-2021-001666.Peer-Reviewed Original ResearchConceptsST-segment elevation myocardial infarctionPrehospital delayMyocardial infarctionSegment elevation myocardial infarctionProportion of patientsElevation myocardial infarctionAcute cardiovascular careAcute myocardial infarctionWeighted national estimateHealth service capacityRisk-adjusted ratesAcute reperfusionEligible patientsHospital deathReperfusion therapyMedical chartsPatient characteristicsHospital treatmentPatient outcomesRandom cohortCardiovascular diseaseCardiovascular carePatientsNational estimatesStandardised definitionsAtherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States
Valero-Elizondo J, Chouairi F, Khera R, Grandhi GR, Saxena A, Warraich HJ, Virani SS, Desai NR, Sasangohar F, Krumholz HM, Esnaola NF, Nasir K. Atherosclerotic Cardiovascular Disease, Cancer, and Financial Toxicity Among Adults in the United States. JACC CardioOncology 2021, 3: 236-246. PMID: 34396329, PMCID: PMC8352280, DOI: 10.1016/j.jaccao.2021.02.006.Peer-Reviewed Original ResearchCost-related medication nonadherenceFinancial toxicityMedication nonadherenceNational Health Interview SurveyAtherosclerotic cardiovascular diseaseMedical billsHealth Interview SurveyCancer careASCVDCardiovascular diseaseHigh burdenHigher oddsElderly populationCancerInterview SurveyFood insecurityCareNonadherenceSignificant proportionAdultsToxicityHigh financial distressPatientsPrevalenceDiseaseContemporary National Patterns of Eligibility and Utilization of Novel Cardioprotective Anti‐hyperglycemic agents in Type 2 Diabetes
Nargesi AA, Jeyashanmugaraja GP, Desai N, Lipska K, Krumholz H, Khera R. Contemporary National Patterns of Eligibility and Utilization of Novel Cardioprotective Anti‐hyperglycemic agents in Type 2 Diabetes. Journal Of The American Heart Association 2021, 10: e021084. PMID: 33998258, PMCID: PMC8403287, DOI: 10.1161/jaha.121.021084.Peer-Reviewed Original ResearchMeSH KeywordsAgedBiomarkersBlood GlucoseCardiovascular DiseasesDiabetes Mellitus, Type 2Drug UtilizationEligibility DeterminationFemaleGlucagon-Like Peptide-1 ReceptorGuideline AdherenceHeart Disease Risk FactorsHumansIncretinsMaleMiddle AgedNutrition SurveysPractice Guidelines as TopicPractice Patterns, Physicians'Risk AssessmentSodium-Glucose Transporter 2 InhibitorsTime FactorsTreatment OutcomeUnited StatesConceptsSGLT-2 inhibitorsType 2 diabetes mellitusAtherosclerotic cardiovascular diseaseChronic kidney diseaseLarge clinical trialsGLP-1RAsDiabetes mellitusCardiovascular diseaseHeart failureKidney diseaseClinical trialsHigh-risk atherosclerotic cardiovascular diseaseGLP-1RA useAmerican Diabetes AssociationNutrition Examination SurveyAnti-hyperglycemic agentsPublic health benefitsComplex survey designCardiovascular riskGuideline recommendationsDiabetes AssociationExamination SurveyProtective therapyNational HealthAmerican College
2020
Association Between Depressive Symptoms and Incident Cardiovascular Diseases
Harshfield EL, Pennells L, Schwartz JE, Willeit P, Kaptoge S, Bell S, Shaffer JA, Bolton T, Spackman S, Wassertheil-Smoller S, Kee F, Amouyel P, Shea SJ, Kuller LH, Kauhanen J, van Zutphen EM, Blazer DG, Krumholz H, Nietert PJ, Kromhout D, Laughlin G, Berkman L, Wallace RB, Simons LA, Dennison EM, Barr ELM, Meyer HE, Wood AM, Danesh J, Di Angelantonio E, Davidson KW. Association Between Depressive Symptoms and Incident Cardiovascular Diseases. JAMA 2020, 324: 2396-2405. PMID: 33320224, PMCID: PMC7739139, DOI: 10.1001/jama.2020.23068.Peer-Reviewed Original ResearchConceptsCoronary heart diseaseHazard ratioStroke eventsCardiovascular diseaseCorresponding incidence ratesDepressive symptomsHigher depression scoresCHD eventsCVD eventsCVD incidencePooled analysisIncidence rateDepression scoresNonfatal coronary heart diseasePatient Health Questionnaire-2Epidemiological Studies Depression ScaleIncident cardiovascular diseasePHQ-2 scoreAdditional risk factorsBaseline depressive symptomsSelf-reported depressive symptomsCES-D scoresEmerging Risk Factors CollaborationIndividual participant dataUK BiobankCardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic
Driggin E, Madhavan MV, Bikdeli B, Chuich T, Laracy J, Biondi-Zoccai G, Brown TS, Der Nigoghossian C, Zidar DA, Haythe J, Brodie D, Beckman JA, Kirtane AJ, Stone GW, Krumholz HM, Parikh SA. Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic. Journal Of The American College Of Cardiology 2020, 75: 2352-2371. PMID: 32201335, PMCID: PMC7198856, DOI: 10.1016/j.jacc.2020.03.031.Peer-Reviewed Original ResearchConceptsHealth care workersCare workersCardiovascular ConsiderationsCardiovascular careCOVID-19Severe acute respiratory syndrome coronavirus 2Pre-existing cardiovascular diseaseAcute respiratory syndrome coronavirus 2Health systemRespiratory syndrome coronavirus 2Indirect cardiovascular complicationsCardiovascular side effectsAcute myocardial injurySyndrome coronavirus 2Coronavirus disease 2019Cardiovascular complicationsVenous thromboembolismMyocardial injuryCoronavirus 2Cardiovascular diseaseCardiovascular conditionsDisease 2019Severe diseaseSide effectsRapid triageHeterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study
Lin H, Cui M, Spatz ES, Wang Y, Lu J, Li J, Li S, Huang C, Liu X, Jiang L, Krumholz HM, Xu X. Heterogeneity in Trajectories of Systolic Blood Pressure among Young Adults in Qingdao Port Cardiovascular Health Study. Global Heart 2020, 15: 20. PMID: 32489793, PMCID: PMC7218791, DOI: 10.5334/gh.764.Peer-Reviewed Original ResearchConceptsSystolic blood pressureHigher systolic blood pressureCardiovascular Health StudyBlood pressureYoung adultsHealth StudyEffective blood pressure controlBaseline systolic blood pressureInitial systolic blood pressureGreater body mass indexBlood pressure controlBody mass indexGreater waist circumferenceBaseline health characteristicsSBP trendsWaist circumferenceMass indexSBP trajectoriesAdvanced ageOrdinal logistic regressionRisk factorsCardiovascular diseaseFamily historyHealth characteristicsHigh school educationSecondary prevention of cardiovascular disease in China
Lu J, Zhang L, Lu Y, Su M, Li X, Liu J, Zhang H, Nasir K, Masoudi F, Krumholz H, Li J, Zheng X. Secondary prevention of cardiovascular disease in China. Heart 2020, 106: 1349-1356. PMID: 31980439, DOI: 10.1136/heartjnl-2019-315884.Peer-Reviewed Original ResearchMeSH KeywordsAdultAge FactorsAgedAlcohol DrinkingCardiovascular DiseasesChinaFemaleHealthy LifestyleHeart Disease Risk FactorsHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedPlatelet Aggregation InhibitorsRisk AssessmentRisk Reduction BehaviorSecondary PreventionSex FactorsSmoking CessationTime FactorsTreatment OutcomeConceptsSecondary prevention drugsIschemic heart diseaseCardiovascular diseasePrevention drugsIschemic strokeSecondary preventionAntiplatelet drugsCardiac Events Million Persons ProjectHistory of IHDMillion Persons ProjectSecondary prevention therapiesPopulation subgroupsMultivariable mixed modelsPublic health programsCommunities of ChinaCurrent smokersCurrent useMedication usePrevention therapyMultivariable analysisChina PatientHeart diseaseCurrent drinkersHealth programsDrugs
2019
Cost-Related Medication Nonadherence in Adults With Atherosclerotic Cardiovascular Disease in the United States, 2013 to 2017
Khera R, Valero-Elizondo J, Das SR, Virani SS, Kash BA, de Lemos JA, Krumholz HM, Nasir K. Cost-Related Medication Nonadherence in Adults With Atherosclerotic Cardiovascular Disease in the United States, 2013 to 2017. Circulation 2019, 140: 2067-2075. PMID: 31760784, DOI: 10.1161/circulationaha.119.041974.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseCost-related nonadherenceMedication nonadherenceCardiovascular diseaseHigher oddsHistory of ASCVDNational Health Interview SurveyCost-related medication nonadherenceHigher comorbidity burdenLong-term therapyLow-cost medicationsVulnerable patient groupHealth Interview SurveyLow family incomeASCVD morbidityComorbidity burdenEssential therapySecondary preventionLess medicationPatient groupFemale sexMedication fillsWorse outcomesPrescribed dosesDrug costsAbsence of Coronary Artery Calcification in Middle-Aged Familial Hypercholesterolemia Patients Without Atherosclerotic Cardiovascular Disease
Mszar R, Grandhi GR, Valero-Elizondo J, Virani SS, Blankstein R, Blaha M, Mata P, Miname MH, Al Rasadi K, Krumholz HM, Santos RD, Nasir K. Absence of Coronary Artery Calcification in Middle-Aged Familial Hypercholesterolemia Patients Without Atherosclerotic Cardiovascular Disease. JACC Cardiovascular Imaging 2019, 13: 1090-1092. PMID: 31843585, DOI: 10.1016/j.jcmg.2019.11.001.Peer-Reviewed Original ResearchP834Secondary prevention medications of cardiovascular diseases in China: findings from China PEACE million persons project
Lu J, Zhang L, Lu Y, Su M, Li X, Li J, Liu J, Zhang H, Nasir K, Masoudi F, Krumholz H, Zheng X. P834Secondary prevention medications of cardiovascular diseases in China: findings from China PEACE million persons project. European Heart Journal 2019, 40: ehz747.0433. DOI: 10.1093/eurheartj/ehz747.0433.Peer-Reviewed Original ResearchSecondary prevention medicationsIschemic heart diseasePrevention medicationsAnti-platelet drugsCardiovascular diseaseMultivariable mixed modelsIschemic strokePopulation subgroupsCardiac Events Million Persons ProjectHistory of IHDPrognosis of CVDMillion Persons ProjectHealth behavior factorsSecondary prevention drugsCause of deathCurrent usePublic health programsPersons ProjectNational Health CommissionCurrent smokersSecondary preventionMedication useMultivariable analysisChina PatientPrevention drugsWorld 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