2024
Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic
Faust J, Renton B, Bongiovanni T, Chen A, Sheares K, Du C, Essien U, Fuentes-Afflick E, Haywood T, Khera R, King T, Li S, Lin Z, Lu Y, Marshall A, Ndumele C, Opara I, Loarte-Rodriguez T, Sawano M, Taparra K, Taylor H, Watson K, Yancy C, Krumholz H. Racial and Ethnic Disparities in Age-Specific All-Cause Mortality During the COVID-19 Pandemic. JAMA Network Open 2024, 7: e2438918. PMID: 39392630, DOI: 10.1001/jamanetworkopen.2024.38918.Peer-Reviewed Original ResearchConceptsCOVID-19 public health emergencyNon-HispanicPublic health emergencyOther Pacific IslanderExcess mortalityAlaska NativesUS populationExcess deathsRates of excess mortalityCross-sectional study analyzed dataYears of potential lifeMortality relative riskNon-Hispanic whitesCross-sectional studyPacific IslandersStudy analyzed dataAll-cause mortalityEthnic groupsMortality disparitiesMortality ratioTotal populationDeath certificatesEthnic disparitiesMain OutcomesDecedent ageLong-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States
Ma Y, Zang E, Liu Y, Wei J, Lu Y, Krumholz H, Bell M, Chen K. Long-term exposure to wildland fire smoke PM2.5 and mortality in the contiguous United States. Proceedings Of The National Academy Of Sciences Of The United States Of America 2024, 121: e2403960121. PMID: 39316057, PMCID: PMC11459178, DOI: 10.1073/pnas.2403960121.Peer-Reviewed Original ResearchConceptsWildland firesContiguous United StatesNonaccidental mortalityExposure to ambient fine particlesSmoke PM<sWildland fire smokeMoving average concentrationsAmbient fine particlesLong-term exposureAverage concentrationSmoke PMHealth risksFine particlesFire smokeTemporal confoundingHealth effectsKidney disease mortalityChronic kidney disease mortalityPublic health actionFireMortality rateUnited StatesDisease mortalityHealth actionsMortality outcomesUse of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks
Lu Y, Keeley E, Barrette E, Cooper-DeHoff R, Dhruva S, Gaffney J, Gamble G, Handke B, Huang C, Krumholz H, McDonough C, Schulz W, Shaw K, Smith M, Woodard J, Young P, Ervin K, Ross J. Use of electronic health records to characterize patients with uncontrolled hypertension in two large health system networks. BMC Cardiovascular Disorders 2024, 24: 497. PMID: 39289597, PMCID: PMC11409735, DOI: 10.1186/s12872-024-04161-x.Peer-Reviewed Original ResearchConceptsElectronic health recordsHealth recordsHealth systemUncontrolled hypertensionUse of electronic health recordsHypertension managementElectronic health record systemsOneFlorida Clinical Research ConsortiumElectronic health record dataYale New Haven Health SystemBP measurementsICD-10-CM codesHealth system networkPublic health priorityICD-10-CMIncidence rate of deathElevated BP measurementsElevated blood pressure measurementsHealthcare visitsAmbulatory careHealth priorityRetrospective cohort studyEHR dataOneFloridaBlood pressure measurementsCause-Specific Mortality Rates Among the US Black Population
Arun A, Caraballo C, Sawano M, Lu Y, Khera R, Yancy C, Krumholz H. Cause-Specific Mortality Rates Among the US Black Population. JAMA Network Open 2024, 7: e2436402. PMID: 39348122, PMCID: PMC11443349, DOI: 10.1001/jamanetworkopen.2024.36402.Peer-Reviewed Original ResearchBarriers to Optimal Clinician Guideline Adherence in Management of Markedly Elevated Blood Pressure
Lu Y, Arowojolu O, Qiu X, Liu Y, Curry L, Krumholz H. Barriers to Optimal Clinician Guideline Adherence in Management of Markedly Elevated Blood Pressure. JAMA Network Open 2024, 7: e2426135. PMID: 39106065, PMCID: PMC11304113, DOI: 10.1001/jamanetworkopen.2024.26135.Peer-Reviewed Original ResearchConceptsBarriers to guideline adherenceElectronic health recordsGuideline adherenceClinician adherenceEHR dataElevated blood pressureHypertension managementAnalysis of EHR dataYale New Haven Health SystemSevere hypertensionClinical practice guidelinesAdherence scenariosQualitative content analysisPublic health challengeThematic saturationHealth recordsHealth systemBlood pressureThematic analysisTargeted interventionsManagement of severe hypertensionQualitative studyHealth challengesPractice guidelinesPatient outcomesHypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records
Brush J, Lu Y, Liu Y, Asher J, Li S, Sawano M, Young P, Schulz W, Anderson M, Burrows J, Krumholz H. Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records. Journal Of The American Heart Association 2024, 13: e033253. PMID: 38686864, PMCID: PMC11179912, DOI: 10.1161/jaha.123.033253.Peer-Reviewed Original ResearchConceptsElectronic health recordsRegional health systemImprove hypertension careHealth systemHealth recordsHypertension careDiastolic blood pressureAge-adjusted prevalence ratesNon-Hispanic Black patientsPrevalence ratesLarger health systemCross-sectional analysisTransformation of medical dataLeveraging real-world dataHigh prevalence rateHypertension trendsHypertension prevalenceBlood pressureBlood pressure measurementsHypertension diagnosisPrimary outcomeNational trendsProportion of patientsAntihypertensive medicationsBlack patients
2023
National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020
Lu Y, Liu Y, Dhingra L, Caraballo C, Mahajan S, Massey D, Spatz E, Sharma R, Rodriguez F, Watson K, Masoudi F, Krumholz H. National Trends in Racial and Ethnic Disparities in Use of Recommended Therapies in Adults with Atherosclerotic Cardiovascular Disease, 1999-2020. JAMA Network Open 2023, 6: e2345964. PMID: 38039001, PMCID: PMC10692850, DOI: 10.1001/jamanetworkopen.2023.45964.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseHistory of ASCVDCross-sectional studyLifestyle modificationPharmacological medicationsOptimal careCurrent careUS adultsEthnic differencesWhite individualsGuideline-recommended therapiesTotal cholesterol controlNon-Hispanic white individualsNutrition Examination SurveyLatino individualsQuality of careSelf-reported raceStatin useRecommended TherapiesSecondary preventionCholesterol controlOptimal regimensSmoking cessationEligible participantsExamination SurveySex-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 diseaseDeveloping 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 notes
2022
Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort
Lu Y, Van Zandt M, Liu Y, Li J, Wang X, Chen Y, Chen Z, Cho J, Dorajoo SR, Feng M, Hsu MH, Hsu JC, Iqbal U, Jonnagaddala J, Li YC, Liaw ST, Lim HS, Ngiam KY, Nguyen PA, Park RW, Pratt N, Reich C, Rhee SY, Sathappan SMK, Shin SJ, Tan HX, You SC, Zhang X, Krumholz HM, Suchard MA, Xu H. Analysis of Dual Combination Therapies Used in Treatment of Hypertension in a Multinational Cohort. JAMA Network Open 2022, 5: e223877. PMID: 35323951, PMCID: PMC8948532, DOI: 10.1001/jamanetworkopen.2022.3877.Peer-Reviewed Original ResearchConceptsDual combination therapyUse of ACEIAntihypertensive drug classesProportion of patientsKhoo Teck Puat HospitalCombination therapyUniversity Hospital databaseHospital databaseDrug classesDual combinationSouth Western Sydney Local Health DistrictWestern Sydney Local Health DistrictPatients age 65 yearsSydney Local Health DistrictElectronic health record databasePatients age 18Local Health DistrictAge 65 yearsTreatment of hypertensionHealth record databaseARB monotherapyTreatment escalationAdult patientsCohort studyCombination regimenPhysical Activity Among Patients With Intracardiac Remote Monitoring Devices Before, During, and After COVID-19–Related Restrictions
Lu Y, Jones PW, Murugiah K, Caraballo C, Massey DS, Mahajan S, Ahmed R, Bader EM, Krumholz HM. Physical Activity Among Patients With Intracardiac Remote Monitoring Devices Before, During, and After COVID-19–Related Restrictions. Journal Of The American College Of Cardiology 2022, 79: 309-310. PMID: 35057917, PMCID: PMC8763290, DOI: 10.1016/j.jacc.2021.11.010.Peer-Reviewed Original Research
2021
Effectiveness of an impedance cardiography guided treatment strategy to improve blood pressure control in a real-world setting: results from a pragmatic clinical trial
Wang L, Lu Y, Wang H, Gu J, J Z, Lian Z, Zhang Z, Krumholz H, Sun N. Effectiveness of an impedance cardiography guided treatment strategy to improve blood pressure control in a real-world setting: results from a pragmatic clinical trial. Open Heart 2021, 8: e001719. PMID: 34580169, PMCID: PMC8477318, DOI: 10.1136/openhrt-2021-001719.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overAntihypertensive AgentsBlood PressureCardiography, ImpedanceChinaClinical Decision-MakingFemaleFollow-Up StudiesHumansHypertensionIncidenceMaleMiddle AgedPractice Guidelines as TopicRetrospective StudiesTherapy, Computer-AssistedTime FactorsTreatment OutcomeYoung AdultConceptsBody mass indexPeking University People's HospitalStandard care groupBlood pressure controlSystolic BPHaemodynamic groupsTreatment strategiesImpedance cardiographyBaseline BPBP goalHypertension clinicHaemodynamic profileBP levelsCare groupPeople's HospitalMean baseline systolic BPPressure controlReal-world clinical practiceBaseline systolic BPMean systolic BPDiastolic BP levelsProportion of patientsPragmatic clinical trialsReal-world populationBaseline DBP
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 factorsTrends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies
Kengne A, Bentham J, Zhou B, Peer N, Matsha T, Bixby H, Di Cesare M, Hajifathalian K, Lu Y, Taddei C, Bovet P, Kyobutungi C, Agyemang C, Aounallah-Skhiri H, Assah F, Barkat A, Romdhane H, Chan Q, Chaturvedi N, Damasceno A, Delisle H, Delpeuch F, Doua K, Egbagbe E, Ati J, Elliott P, Engle-Stone R, Erasmus R, Fouad H, Gareta D, Gureje O, Hendriks M, Houti L, Ibrahim M, Kemper H, Killewo J, Kowlessur S, Kruger H, Laamiri F, Laid Y, Levitt N, Lunet N, Magliano D, Maire B, Martin-Prevel Y, Mediene-Benchekor S, Mohamed M, Mondo C, Monyeki K, Mostafa A, Nankap M, Owusu-Dabo E, de Wit T, Saidi O, Schultsz C, Schutte A, Senbanjo I, Shaw J, Smeeth L, Sobngwi E, Jérome C, Stronks K, Tanser F, Tchibindat F, Traissac P, Tshepo L, Tullu F, Ukoli F, Viswanathan B, Wade A, Danaei G, Stevens G, Riley L, Ezzati M, Mbanya J. Trends in obesity and diabetes across Africa from 1980 to 2014: an analysis of pooled population-based studies. International Journal Of Epidemiology 2017, 46: 1421-1432. PMID: 28582528, PMCID: PMC5837192, DOI: 10.1093/ije/dyx078.Peer-Reviewed Original ResearchConceptsMean body mass indexBody mass indexAge-standardized mean body mass indexPopulation-based studyNon-communicable diseasesWorldwide population-based studyAge-standardized prevalenceBurden of diabetesDiabetes prevalence estimatesPopulation-based surveyDiabetes statusDiabetes prevalenceMass indexControl diabetesDiabetes estimatesDiabetesPrevalence estimatesPrevalenceObesityPositive associationWomenSaharan AfricaSexMenHigher number
2016
Sick Populations and Sick Subpopulations
Lu Y, Ezzati M, Rimm EB, Hajifathalian K, Ueda P, Danaei G. Sick Populations and Sick Subpopulations. Circulation 2016, 134: 472-485. PMID: 27324491, PMCID: PMC5001154, DOI: 10.1161/circulationaha.115.018102.Peer-Reviewed Original ResearchConceptsMultiple risk factorsCVD death ratesHigh-risk individualsRisk factorsNonfatal CVDCVD riskCVD deathFatal CVDDeath rateRisk-based interventionsWhite menCVD ratesNutrition Examination Survey 1999Cardiovascular disease death ratesWhite womenRacial disparitiesRisk of CVDExamination Survey 1999Black-white differencesDisease death ratesYears of ageBlack womenBlack menSick populationNational Health
2015
Mediators of the Effect of Body Mass Index on Coronary Heart Disease
Lu Y, Hajifathalian K, Rimm EB, Ezzati M, Danaei G. Mediators of the Effect of Body Mass Index on Coronary Heart Disease. Epidemiology 2015, 26: 153-162. PMID: 25643095, DOI: 10.1097/ede.0000000000000234.Peer-Reviewed Original ResearchConceptsBody mass indexCoronary heart diseaseExcess relative riskHigh-sensitive C-reactive proteinHigher body mass indexC-reactive proteinBlood pressureRelative riskMass indexBlood glucoseHeart diseaseRisk factorsMetabolic risk factorsProspective cohort studyPrevalence of overweightMajor risk factorRandom-effects modelProthrombotic biomarkersCHD eventsCohort studyInflammatory biomarkersObese participantsMetabolic mediatorsMetabolic factorsMultiplicative scale
2013
The State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors
Murray CJ, Atkinson C, Bhalla K, Birbeck G, Burstein R, Chou D, Dellavalle R, Danaei G, Ezzati M, Fahimi A, Flaxman D, Foreman, Gabriel S, Gakidou E, Kassebaum N, Khatibzadeh S, Lim S, Lipshultz SE, London S, Lopez, MacIntyre MF, Mokdad AH, Moran A, Moran AE, Mozaffarian D, Murphy T, Naghavi M, Pope C, Roberts T, Salomon J, Schwebel DC, Shahraz S, Sleet DA, Murray, Abraham J, Ali MK, Atkinson C, Bartels DH, Bhalla K, Birbeck G, Burstein R, Chen H, Criqui MH, Dahodwala, Jarlais, Ding EL, Dorsey ER, Ebel BE, Ezzati M, Fahami, Flaxman S, Flaxman AD, Gonzalez-Medina D, Grant B, Hagan H, Hoffman H, Kassebaum N, Khatibzadeh S, Leasher JL, Lin J, Lipshultz SE, Lozano R, Lu Y, Mallinger L, McDermott MM, Micha R, Miller TR, Mokdad AA, Mokdad AH, Mozaffarian D, Naghavi M, Narayan KM, Omer SB, Pelizzari PM, Phillips D, Ranganathan D, Rivara FP, Roberts T, Sampson U, Sanman E, Sapkota A, Schwebel DC, Sharaz S, Shivakoti R, Singh GM, Singh D, Tavakkoli M, Towbin JA, Wilkinson JD, Zabetian A, Murray, Abraham J, Ali MK, Alvardo M, Atkinson C, Baddour LM, Benjamin EJ, Bhalla K, Birbeck G, Bolliger I, Burstein R, Carnahan E, Chou D, Chugh SS, Cohen A, Colson KE, Cooper LT, Couser W, Criqui MH, Dabhadkar KC, Dellavalle RP, Jarlais, Dicker D, Dorsey ER, Duber H, Ebel BE, Engell RE, Ezzati M, Felson DT, Finucane MM, Flaxman S, Flaxman AD, Fleming T, Foreman, Forouzanfar MH, Freedman G, Freeman MK, Gakidou E, Gillum RF, Gonzalez-Medina D, Gosselin R, Gutierrez HR, Hagan H, Havmoeller R, Hoffman H, Jacobsen KH, James SL, Jasrasaria R, Jayarman S, Johns N, Kassebaum N, Khatibzadeh S, Lan Q, Leasher JL, Lim S, Lipshultz SE, London S, Lopez, Lozano R, Lu Y, Mallinger L, Meltzer M, Mensah GA, Michaud C, Miller TR, Mock C, Moffitt TE, Mokdad AA, Mokdad AH, Moran A, Naghavi M, Narayan KM, Nelson RG, Olives C, Omer SB, Ortblad K, Ostro B, Pelizzari PM, Phillips D, Raju M, Razavi H, Ritz B, Roberts T, Sacco RL, Salomon J, Sampson U, Schwebel DC, Shahraz S, Shibuya K, Silberberg D, Singh JA, Steenland K, Taylor JA, Thurston GD, Vavilala MS, Vos T, Wagner GR, Weinstock MA, Weisskopf MG, Wulf S, Murray. The State of US Health, 1990-2010: Burden of Diseases, Injuries, and Risk Factors. JAMA 2013, 310: 591-606. PMID: 23842577, PMCID: PMC5436627, DOI: 10.1001/jama.2013.13805.Peer-Reviewed Original ResearchConceptsAge-standardized YLL rateHealthy life expectancyBurden of diseaseRisk factorsLife expectancyPopulation healthYLL ratesAge-standardized YLD rateChronic obstructive pulmonary diseaseHigher body mass indexAge-standardized death ratesDeath rateReference life expectancyRisk-outcome pairsSum of YLDsChronic kidney diseaseObstructive pulmonary diseaseHigh blood pressureIschemic heart diseaseBody mass indexLow back painDrug use disordersDisease 2010 studyMajor depressive disorderMajor health problem
2012
A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010
Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, AlMazroa M, Amann M, Anderson H, Andrews K, Aryee M, Atkinson C, Bacchus L, Bahalim A, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell M, Blore J, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce N, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett R, Byers T, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen J, Cheng A, Child J, Cohen A, Colson K, Cowie B, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Jarlais D, Devries K, Dherani M, Ding E, Dorsey E, Driscoll T, Edmond K, Ali S, Engell R, Erwin P, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane M, Flaxman S, Fowkes F, Freedman G, Freeman M, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez H, Hall W, Hoek H, Hogan A, Hosgood H, Hoy D, Hu H, Hubbell B, Hutchings S, Ibeanusi S, Jacklyn G, Jasrasaria R, Jonas J, Kan H, Kanis J, Kassebaum N, Kawakami N, Khang Y, Khatibzadeh S, Khoo J, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher J, Leigh J, Li Y, Lin J, Lipshultz S, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Memish Z, Mensah G, Merriman T, Micha R, Michaud C, Mishra V, Hanafiah K, Mokdad A, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson P, Nolla J, Norman R, Olives C, Omer S, Orchard J, Osborne R, Ostro B, Page A, Pandey K, Parry C, Passmore E, Patra J, Pearce N, Pelizzari P, Petzold M, Phillips M, Pope D, Pope C, Powles J, Rao M, Razavi H, Rehfuess E, Rehm J, Ritz B, Rivara F, Roberts T, Robinson C, Rodriguez-Portales J, Romieu I, Room R, Rosenfeld L, Roy A, Rushton L, Salomon J, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh G, Sleet D, Smith E, Smith K, Stapelberg N, Steenland K, Stöckl H, Stovner L, Straif K, Straney L, Thurston G, Tran J, Van Dingenen R, van Donkelaar A, Veerman J, Vijayakumar L, Weintraub R, Weissman M, White R, Whiteford H, Wiersma S, Wilkinson J, Williams H, Williams W, Wilson N, Woolf A, Yip P, Zielinski J, Lopez A, Murray C, Ezzati M. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet 2012, 380: 2224-2260. PMID: 23245609, PMCID: PMC4156511, DOI: 10.1016/s0140-6736(12)61766-8.Peer-Reviewed Original ResearchConceptsSecond-hand smokeDisease Study 2010High blood pressureRisk factorsDisease burdenGlobal disease burdenTobacco smokingRisk factor exposureBlood pressureGlobal DALYsChildhood underweightRelative riskGlobal burdenStudy 2010Unimproved waterCommunicable diseasesHigher body mass indexHigh-income North AmericaAlcohol useChildhood communicable diseasesDisability-adjusted life yearsRisk factor clustersDietary risk factorsCause-specific deathBody mass index