2024
Cardiovascular Disease Risk Factor Control Following Release From Carceral Facilities: A Cross-Sectional Study.
Aminawung J, Puglisi L, Roy B, Horton N, Elumn J, Lin H, Bibbins-Domingo K, Krumholz H, Wang E. Cardiovascular Disease Risk Factor Control Following Release From Carceral Facilities: A Cross-Sectional Study. Journal Of The American Heart Association 2024, 13: ejaha2024035683t. PMID: 39248257, DOI: 10.1161/jaha.124.035683.Peer-Reviewed Original ResearchConceptsUncontrolled CVD risk factorsCardiovascular disease risk factor controlCVD risk factorsRisk factor controlFactor controlRisk factorsSocial determinant of cardiovascular healthCardiovascular diseaseProspective cohort study of individualsDeterminants of cardiovascular healthPublic health prevention effortsCardiovascular disease risk factorsCohort study of individualsHealth prevention effortsCross-sectional studyProspective cohort studyCarceral facilitiesCorrectional facilitiesSocial determinantsTailored interventionsTraditional risk factorsStudy of individualsAdversity scorePerceived stressCardiovascular healthComparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM
Khera R, Aminorroaya A, Dhingra L, Thangaraj P, Pedroso Camargos A, Bu F, Ding X, Nishimura A, Anand T, Arshad F, Blacketer C, Chai Y, Chattopadhyay S, Cook M, Dorr D, Duarte-Salles T, DuVall S, Falconer T, French T, Hanchrow E, Kaur G, Lau W, Li J, Li K, Liu Y, Lu Y, Man K, Matheny M, Mathioudakis N, McLeggon J, McLemore M, Minty E, Morales D, Nagy P, Ostropolets A, Pistillo A, Phan T, Pratt N, Reyes C, Richter L, Ross J, Ruan E, Seager S, Simon K, Viernes B, Yang J, Yin C, You S, Zhou J, Ryan P, Schuemie M, Krumholz H, Hripcsak G, Suchard M. Comparative Effectiveness of Second-Line Antihyperglycemic Agents for Cardiovascular Outcomes A Multinational, Federated Analysis of LEGEND-T2DM. Journal Of The American College Of Cardiology 2024, 84: 904-917. PMID: 39197980, DOI: 10.1016/j.jacc.2024.05.069.Peer-Reviewed Original ResearchConceptsGLP-1 RAsSecond-line agentsGLP-1Antihyperglycemic agentsCardiovascular diseaseMACE riskGlucagon-like peptide-1 receptor agonistsSodium-glucose cotransporter 2 inhibitorsPeptide-1 receptor agonistsDipeptidyl peptidase-4 inhibitorsEffects of SGLT2isType 2 diabetes mellitusPeptidase-4 inhibitorsAdverse cardiovascular eventsCox proportional hazards modelsRandom-effects meta-analysisCardiovascular risk reductionTarget trial emulationProportional hazards model
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 ResearchMeSH KeywordsAdultAgedAngiotensin Receptor AntagonistsAngiotensin-Converting Enzyme InhibitorsCardiovascular DiseasesCross-Sectional StudiesFemaleHumansNutrition SurveysConceptsAtherosclerotic 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 SurveyRacial/ethnic disparities in PM2.5-attributable cardiovascular mortality burden in the United States
Ma Y, Zang E, Opara I, Lu Y, Krumholz H, Chen K. Racial/ethnic disparities in PM2.5-attributable cardiovascular mortality burden in the United States. Nature Human Behaviour 2023, 7: 2074-2083. PMID: 37653149, PMCID: PMC10901568, DOI: 10.1038/s41562-023-01694-7.Peer-Reviewed Original ResearchMeSH KeywordsBlack or African AmericanCardiovascular DiseasesEthnicityHispanic or LatinoHumansParticulate MatterRacial GroupsUnited StatesWhiteConceptsNon-Hispanic White peopleCVD deathMortality burdenNon-Hispanic black peopleCardiovascular disease mortality ratesDisease mortality ratesNon-Hispanic blacksRace/ethnicityMortality rateLong-term exposureWhite peopleEthnic disparitiesHealth benefitsHispanic peopleSignificant differencesBurdenDeathUS countiesEthnic groupsAbsolute disparityAssociationExposureEthnic minoritiesDisparitiesAmbient fine particulate matter (PM2.5) concentrationsUse 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 ResearchMeSH KeywordsAdultCardiovascular DiseasesCross-Sectional StudiesFemaleHumansHypertensionMaleMiddle AgedObesityRisk FactorsConceptsHealth 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 dataTemporal Trends in Gender of Principal Investigators and Patients in Cardiovascular Clinical Trials
Yong C, Suvarna A, Harrington R, Gummidipundi S, Krumholz H, Mehran R, Heidenreich P. Temporal Trends in Gender of Principal Investigators and Patients in Cardiovascular Clinical Trials. Journal Of The American College Of Cardiology 2023, 81: 428-430. PMID: 36697143, DOI: 10.1016/j.jacc.2022.10.038.Peer-Reviewed Original Research
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
Prevalence 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 settingsContemporary 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 CollegeLeveraging Remote Physiologic Monitoring in the COVID-19 Pandemic to Improve Care After Cardiovascular Hospitalizations
Dey P, Jarrin R, Mori M, Geirsson A, Krumholz HM. Leveraging Remote Physiologic Monitoring in the COVID-19 Pandemic to Improve Care After Cardiovascular Hospitalizations. Circulation Cardiovascular Quality And Outcomes 2021, 14: e007618-e007618. PMID: 33820445, PMCID: PMC8059759, DOI: 10.1161/circoutcomes.120.007618.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesCOVID-19HospitalizationHumansMonitoring, PhysiologicSARS-CoV-2Telemedicine
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 ResearchMeSH KeywordsAgedCardiovascular DiseasesCohort StudiesCoronary DiseaseDepressionFemaleHumansIncidenceMaleMiddle AgedRisk FactorsStrokeConceptsCoronary 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 BiobankInflection Point
Krumholz HM. Inflection Point. Circulation Cardiovascular Quality And Outcomes 2020, 13: e007615-e007615. PMID: 33200951, PMCID: PMC7742208, DOI: 10.1161/circoutcomes.120.007615.Peer-Reviewed Original ResearchRegulation of Cardiovascular Therapies During the COVID-19 Public Health Emergency
Vaduganathan M, Butler J, Krumholz HM, Itchhaporia D, Stecker EC, Bhatt DL. Regulation of Cardiovascular Therapies During the COVID-19 Public Health Emergency. Journal Of The American College Of Cardiology 2020, 76: 2517-2521. PMID: 33213730, PMCID: PMC7669239, DOI: 10.1016/j.jacc.2020.09.594.Peer-Reviewed Original ResearchThe American College of Cardiology Roundtable on Research in the Era of COVID-19
Krumholz HM, Januzzi JL. The American College of Cardiology Roundtable on Research in the Era of COVID-19. Journal Of The American College Of Cardiology 2020, 76: 1263-1265. PMID: 32883419, PMCID: PMC7458524, DOI: 10.1016/j.jacc.2020.08.006.Peer-Reviewed Original ResearchNon-inferiority trials using a surrogate marker as the primary endpoint: An increasing phenotype in cardiovascular trials
Bikdeli B, Caraballo C, Welsh J, Ross JS, Kaul S, Stone GW, Krumholz HM. Non-inferiority trials using a surrogate marker as the primary endpoint: An increasing phenotype in cardiovascular trials. Clinical Trials 2020, 17: 723-728. PMID: 32838556, PMCID: PMC8088773, DOI: 10.1177/1740774520949157.Peer-Reviewed Original ResearchMeSH KeywordsBiomarkersCardiovascular DiseasesEndpoint DeterminationEquivalence Trials as TopicHumansJournal Impact FactorPhenotypeResearch DesignResearch ReportConceptsNon-inferiority trialPrimary endpointClinical outcome trialsNon-inferiority marginSurrogate markerNon-inferiority designCardiovascular trialsOutcome trialsClinical outcomesDefinitive clinical outcome trialsNon-inferiority criteriaStudy protocolSurrogate outcomesBACKGROUND/Median numberSurrogate endpointsPrimary analysisCardiovascular interventionsCardiovascular medicineTrialsEndpointClinical interpretationOutcomesMarkersInterventionHeterogeneity 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 educationUpdating insights into rosiglitazone and cardiovascular risk through shared data: individual patient and summary level meta-analyses
Wallach JD, Wang K, Zhang AD, Cheng D, Grossetta Nardini HK, Lin H, Bracken MB, Desai M, Krumholz HM, Ross JS. Updating insights into rosiglitazone and cardiovascular risk through shared data: individual patient and summary level meta-analyses. The BMJ 2020, 368: l7078. PMID: 32024657, PMCID: PMC7190063, DOI: 10.1136/bmj.l7078.Peer-Reviewed Original ResearchMeSH KeywordsCardiovascular DiseasesHumansHypoglycemic AgentsInformation DisseminationRandomized Controlled Trials as TopicRisk FactorsRosiglitazoneConceptsIndividual patient-level dataCardiovascular related deathsCardiovascular riskMyocardial infarctionRelated deathsSummary-level dataHeart failureOdds ratioSystematic reviewIncreased cardiovascular riskMore myocardial infarctionsHeart failure eventsCochrane Central RegistryAcute myocardial infarctionMyocardial infarction eventsPatient-level dataRandom-effects modelWeb of ScienceAnalysis of trialsEligible trialsComposite outcomeAdverse eventsContinuity correctionControlled TrialsRosiglitazone treatmentSecondary 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
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 ResearchMeSH KeywordsAdultAgedAged, 80 and overCardiovascular DiseasesEgyptFemaleHumansMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsUgandaWorld Health OrganizationConceptsRisk 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