2024
Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report.
Shimbo D, Shah R, Abdalla M, Agarwal R, Ahmad F, Anaya G, Attia Z, Bull S, Chang A, Commodore-Mensah Y, Ferdinand K, Kawamoto K, Khera R, Leopold J, Luo J, Makhni S, Mortazavi B, Oh Y, Savage L, Spatz E, Stergiou G, Turakhia M, Whelton P, Yancy C, Iturriaga E. Transforming Hypertension Diagnosis and Management in The Era of Artificial Intelligence: A 2023 National Heart, Lung, and Blood Institute (NHLBI) Workshop Report. Hypertension 2024 PMID: 39011653, DOI: 10.1161/hypertensionaha.124.22095.Peer-Reviewed Original ResearchMachine learning toolsManagement of hypertensionNational HeartArtificial intelligenceBlood InstitutePredictive of incident hypertensionHealth care systemImplementation challengesDiverse group of stakeholdersAI toolsPopulation healthMeasurement of blood pressureCare systemHealth careIncident hypertensionHypertension riskEra of artificial intelligenceHypertension diagnosisLearning toolsManaging hypertensionHypertension-related complicationsAntihypertensive medicationsHealthPublic healthGroups of stakeholdersDevelopment and multinational validation of an algorithmic strategy for high Lp(a) screening
Aminorroaya A, Dhingra L, Oikonomou E, Saadatagah S, Thangaraj P, Vasisht Shankar S, Spatz E, Khera R. Development and multinational validation of an algorithmic strategy for high Lp(a) screening. Nature Cardiovascular Research 2024, 3: 558-566. PMID: 39195936, DOI: 10.1038/s44161-024-00469-1.Peer-Reviewed Original ResearchElectronic health recordsAssociated with premature atherosclerotic cardiovascular diseaseElevated Lp(aHealth recordsUK BiobankPremature atherosclerotic cardiovascular diseaseMachine learning modelsAtherosclerotic cardiovascular diseaseCohort studyReal-world settingsTargeted screeningCardiovascular diseaseLearning modelsNovel targeted therapeuticsAlgorithmic strategiesCohortProbability thresholdScreeningClinical featuresValidation cohortElevated lipoproteinRisk inspectionARICLp(a
2023
Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients
Sawano M, Lu Y, Caraballo C, Mahajan S, Dreyer R, Lichtman J, D'Onofrio G, Spatz E, Khera R, Onuma O, Murugiah K, Spertus J, Krumholz H. Sex Difference in Outcomes of Acute Myocardial Infarction in Young Patients. Journal Of The American College Of Cardiology 2023, 81: 1797-1806. PMID: 37137590, DOI: 10.1016/j.jacc.2023.03.383.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionNoncardiac hospitalizationsSubdistribution HRYounger patientsMyocardial infarctionSex differencesYoung womenCause-specific hospitalizationsCause of hospitalizationWorse health statusSignificant sex disparityNoncardiovascular hospitalizationsVIRGO StudyIndex episodeAdverse outcomesIncidence rateHospitalizationHigh riskSex disparitiesHealth statusPatientsU.S. hospitalsWomenInfarctionOutcomesPhysician responses to apple watch-detected irregular rhythm alerts
Demkowicz P, Dhruva S, Spatz E, Beatty A, Ross J, Khera R. Physician responses to apple watch-detected irregular rhythm alerts. American Heart Journal 2023, 262: 29-37. PMID: 37084933, PMCID: PMC10988207, DOI: 10.1016/j.ahj.2023.04.008.Peer-Reviewed Original ResearchConceptsAtrial fibrillationPrimary careEmergency medicinePhysician responsesDiagnostic testingUse of antiarrhythmicsClinical practice guidelinesMeasurement of BNPFurther diagnostic testingCase-based surveyLarge academic centerAF alertsAsymptomatic patientsPatient demographicsClinical symptomsTreatment optionsMedical historyPatient referralPhysician specialtyPractice guidelinesPhysician differencesRhythm monitoringAcademic centersUS FoodClinical complexityLifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study
Khera R, Kondamudi N, Liu M, Ayers C, Spatz E, Rao S, Essien U, Powell-Wiley T, Nasir K, Das S, Capers Q, Pandey A. Lifetime healthcare expenses across demographic and cardiovascular risk groups: The application of a novel modeling strategy in a large multiethnic cohort study. American Journal Of Preventive Cardiology 2023, 14: 100493. PMID: 37397263, PMCID: PMC10314135, DOI: 10.1016/j.ajpc.2023.100493.Peer-Reviewed Original ResearchOverweight/obesityRisk factorsRace/ethnicityHealthcare expensesCardiovascular risk factorsCardiovascular risk groupsNon-black individualsMultiethnic Cohort StudySignificant independent associationYears of ageBlack individualsDallas Heart StudyCohort studyCohort enrollmentOutpatient claimsIndependent associationRisk groupsHigh prevalenceHeart StudyOlder ageHealthcare spendingHypertensionObesitySmokingDiabetesQuantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study
Lu Y, Linderman G, Mahajan S, Liu Y, Huang C, Khera R, Mortazavi B, Spatz E, Krumholz H. Quantifying Blood Pressure Visit-to-Visit Variability in the Real-World Setting: A Retrospective Cohort Study. Circulation Cardiovascular Quality And Outcomes 2023, 16: e009258. PMID: 36883456, DOI: 10.1161/circoutcomes.122.009258.Peer-Reviewed Original ResearchConceptsRetrospective cohort studyBlood pressure valuesPatient characteristicsReal-world settingCohort studyPatient subgroupsYale New Haven Health SystemMean body mass indexSystolic blood pressure valuesBlood pressure visitHistory of hypertensionCoronary artery diseaseManagement of patientsMultivariable linear regression modelsBlood pressure readingsBody mass indexPatient-level measuresBlood pressure variationAbsolute standardized differencesNon-Hispanic whitesAntihypertensive medicationsReal-world practiceVisit variabilityArtery diseaseRegression modelsA MACHINE LEARNING-GUIDED APPROACH FOR ADAPTIVE TRIAL ENRICHMENT AND ACCELERATION OF CARDIOVASCULAR OUTCOME TRIALS: INSIGHTS FROM THE SPRINT AND ACCORD-BP TRIALS
Oikonomou E, Spatz E, Ross J, Suchard M, Krumholz H, Khera R. A MACHINE LEARNING-GUIDED APPROACH FOR ADAPTIVE TRIAL ENRICHMENT AND ACCELERATION OF CARDIOVASCULAR OUTCOME TRIALS: INSIGHTS FROM THE SPRINT AND ACCORD-BP TRIALS. Journal Of The American College Of Cardiology 2023, 81: 2314. DOI: 10.1016/s0735-1097(23)02758-4.Peer-Reviewed Original Research
2022
Short-Term Outcomes After Myopericarditis Related to COVID-19 Vaccination
Pareek M, Steele J, Asnes J, Baldassarre L, Casale L, Desai N, Elder R, Faherty E, Ferguson I, Fishman R, Ghazizadeh Z, Glick L, Hall E, Khera R, Kokkinidis D, Kwan J, O'Marr J, Schussheim A, Tuohy E, Wang Y, Spatz E, Jacoby D, Miller E. Short-Term Outcomes After Myopericarditis Related to COVID-19 Vaccination. JACC Cardiovascular Imaging 2022, 15: 2002-2005. PMID: 36357140, PMCID: PMC9094612, DOI: 10.1016/j.jcmg.2022.03.026.Peer-Reviewed Case Reports and Technical Notes
2019
Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance
Mahajan S, Gu J, Lu Y, Khera R, Spatz ES, Zhang M, Sun N, Zheng X, Zhao H, Lu H, Ma ZJ, Krumholz HM. Hemodynamic Phenotypes of Hypertension Based on Cardiac Output and Systemic Vascular Resistance. The American Journal Of Medicine 2019, 133: e127-e139. PMID: 31525336, DOI: 10.1016/j.amjmed.2019.08.042.Peer-Reviewed Original ResearchConceptsSystemic vascular resistance indexVascular resistance indexSystemic vascular resistanceCardiac indexBlood pressure categoriesResistance index ratioResistance indexVascular resistanceCardiac outputBlood pressureHemodynamic phenotypesPressure categoriesHigh systemic vascular resistance indexNormal systemic vascular resistance indexSystolic blood pressure 140Systolic blood pressure categoriesBlood pressure 140Health checkup centerNormal cardiac indexLow cardiac indexStroke volume indexHigher cardiac indexSystolic blood pressureBody mass indexSubtypes of hypertensionAssociation of Income Disparities with Patient-Reported Healthcare Experience
Okunrintemi V, Khera R, Spatz ES, Salami JA, Valero-Elizondo J, Warraich HJ, Virani SS, Blankstein R, Blaha MJ, Pawlik TM, Dharmarajan K, Krumholz HM, Nasir K. Association of Income Disparities with Patient-Reported Healthcare Experience. Journal Of General Internal Medicine 2019, 34: 884-892. PMID: 30783877, PMCID: PMC6544715, DOI: 10.1007/s11606-019-04848-4.Peer-Reviewed Original ResearchConceptsPatient healthcare experienceHealthcare experiencesHigher oddsMedical Expenditure Panel Survey cohortHealthcare providersRepresentative US adult populationUS adult populationTimes higher oddsQuality of careTimes greater oddsLow incomePoor healthcare experiencesRetrospective studyPatient incomePatient levelPatient reportsUS adultsProvider satisfactionGreater oddsPatientsHealth outcomesSurvey cohortAdult populationStudy participantsAspects of access
2018
Association Between Financial Burden, Quality of Life, and Mental Health Among Those With Atherosclerotic Cardiovascular Disease in the United States
Annapureddy A, Valero-Elizondo J, Khera R, Grandhi GR, Spatz ES, Dreyer RP, Desai NR, Krumholz HM, Nasir K. Association Between Financial Burden, Quality of Life, and Mental Health Among Those With Atherosclerotic Cardiovascular Disease in the United States. Circulation Cardiovascular Quality And Outcomes 2018, 11: e005180. PMID: 30571331, DOI: 10.1161/circoutcomes.118.005180.Peer-Reviewed Original Research
2017
Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013
Valero-Elizondo J, Hong JC, Spatz ES, Salami JA, Desai NR, Rana JS, Khera R, Virani SS, Blankstein R, Blaha MJ, Nasir K. Persistent socioeconomic disparities in cardiovascular risk factors and health in the United States: Medical Expenditure Panel Survey 2002–2013. Atherosclerosis 2017, 269: 301-305. PMID: 29254694, DOI: 10.1016/j.atherosclerosis.2017.12.014.Peer-Reviewed Original ResearchConceptsCardiovascular diseaseSocioeconomic statusWorse cardiovascular risk factor profileCardiovascular risk factor profileHighest prevalence increasePrevalence of CRFCardiovascular risk factorsRisk factor profileHealthy lifestyle behaviorsMedical Expenditure Panel Survey 2002Medical Expenditure Panel SurveyHealth disparity gapRelative percent increasePhysical inactivityLifestyle behaviorsRisk factorsPrevalence increasesHigh burdenHigh prevalenceLow-income groupsProportion of individualsUS adultsFactor profileDisparity gapSocioeconomic disparities