2024
Hypertension 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
2022
Sex Differences in Characteristics, Treatments, and Outcomes Among Patients Hospitalized for Non–ST-Segment–Elevation Myocardial Infarction in China: 2006 to 2015
Guo W, Du X, Gao Y, Hu S, Lu Y, Dreyer RP, Li X, Spatz ES, Masoudi FA, Krumholz HM, Zheng X. Sex Differences in Characteristics, Treatments, and Outcomes Among Patients Hospitalized for Non–ST-Segment–Elevation Myocardial Infarction in China: 2006 to 2015. Circulation Cardiovascular Quality And Outcomes 2022, 15: e008535. PMID: 35607994, PMCID: PMC9208815, DOI: 10.1161/circoutcomes.121.008535.Peer-Reviewed Original ResearchMeSH KeywordsAspirinChinaFemaleHealthcare DisparitiesHumansMaleNon-ST Elevated Myocardial InfarctionRetrospective StudiesSex CharacteristicsTime FactorsTreatment OutcomeConceptsSegment elevation myocardial infarctionInvasive strategyMyocardial infarctionHospital mortalityHospital outcomesMultivariable logistic regression modelCardiovascular risk factorsElevation myocardial infarctionSex-related disparitiesQuality of careProportion of womenLogistic regression modelsSex differencesClinical characteristicsClinical profileRisk factorsClinical covariatesSex-specific differencesPatientsInfarctionST segmentSex gapChinese hospitalsMortalityWomen
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 ResearchMeSH KeywordsAgedBlack PeopleCardiovascular DiseasesFemaleHealthcare DisparitiesHumansMaleMiddle AgedMortalityNutrition SurveysPopulation SurveillanceUnited StatesWhite PeopleConceptsMultiple 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