Featured Publications
Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma
Benson M, Eisman A, Tahir U, Katz D, Deng S, Ngo D, Robbins J, Hofmann A, Shi X, Zheng S, Keyes M, Yu Z, Gao Y, Farrell L, Shen D, Chen Z, Cruz D, Sims M, Correa A, Tracy R, Durda P, Taylor K, Liu Y, Johnson W, Guo X, Yao J, Chen Y, Manichaikul A, Jain D, Yang Q, Consortium N, Bouchard C, Sarzynski M, Rich S, Rotter J, Wang T, Wilson J, Clish C, Sarkar I, Natarajan P, Gerszten R. Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma. Cell Metabolism 2023, 35: 1646-1660.e3. PMID: 37582364, PMCID: PMC11118091, DOI: 10.1016/j.cmet.2023.07.012.Peer-Reviewed Original ResearchConceptsAssociation studiesPlasma metabolomics studyKnockout strainGene-metabolitesProtein regulationHuman geneticsProteomic determinantsHuman plasmaMendelian randomizationSignaling pathwayThyroxine-binding globulinMetabolomics studiesMR associationsProteinBioactive proteinsMetabolite levelsHuman cohortsPlasma samplesUnrecognized associationCirculating proteinsHuman metabolismBiochemical profileMetabolitesAssociationPlasmaClinical Note Section Detection Using a Hidden Markov Model of Unified Medical Language System Semantic Types.
Eisman A, Brown K, Chen E, Sarkar I. Clinical Note Section Detection Using a Hidden Markov Model of Unified Medical Language System Semantic Types. AMIA Annual Symposium Proceedings 2022, 2021: 418-427. PMID: 35308919, PMCID: PMC8861726.Peer-Reviewed Original ResearchConceptsNatural language processingUnified Medical Language SystemNatural language processing tasksMedical Language SystemSources of biomedical dataClinical note sectionsUnified Medical Language System semantic typesHidden Markov ModelNLP toolsLanguage processingBiomedical dataSection detectionClinical notesSemantic typesHMMLanguage systemMedical Information Mart for Intensive Care IIIExtracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures.
Eisman A, Shah N, Eickhoff C, Zerveas G, Chen E, Wu W, Sarkar I. Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer Architectures. AMIA Annual Symposium Proceedings 2021, 2020: 412-421. PMID: 33936414, PMCID: PMC8075440.Peer-Reviewed Original ResearchConceptsChest painAnginal symptomsPalliation of chest painSubsternal chest painShortness of breathPrimary care physicians' notes.Consecutive patientsCardiac testingCardiac riskAngina symptomsPainCardiovascular managementPhysician notesSymptomsClinical notesIllness sectionTransformer architectureSample sizePulmonary Capillary Wedge Pressure Patterns During Exercise Predict Exercise Capacity and Incident Heart Failure
Eisman A, Shah R, Dhakal B, Pappagianopoulos P, Wooster L, Bailey C, Cunningham T, Hardin K, Baggish A, Ho J, Malhotra R, Lewis G. Pulmonary Capillary Wedge Pressure Patterns During Exercise Predict Exercise Capacity and Incident Heart Failure. Circulation Heart Failure 2018, 11: e004750. PMID: 29695381, PMCID: PMC5937988, DOI: 10.1161/circheartfailure.117.004750.Peer-Reviewed Original ResearchConceptsHeart failure outcomesExercise capacityCardiac outcomesHeart failureLeft ventricular ejection fractionLeft ventricular filling pressureMeasure of left ventricular filling pressureComposite cardiac outcomeDefinitions of HFpEFExercise hemodynamic measurementsPeak VO<sub>2</sub>Ventricular ejection fractionAdverse cardiac outcomesVentricular filling pressureFailure outcomesCardiopulmonary exercise testingBody mass indexPredicting exercise capacityIncident heart failureDifferentiate HFpEFNon-HFpEFEjection fractionHFpEF diagnosisMm HgFollow-upLearning health system linchpins: information exchange and a common data model
Eisman A, Chen E, Wu W, Crowley K, Aluthge D, Brown K, Sarkar I. Learning health system linchpins: information exchange and a common data model. Journal Of The American Medical Informatics Association 2024, ocae277. PMID: 39538369, DOI: 10.1093/jamia/ocae277.Peer-Reviewed Original ResearchLearning health systemObservational Medical Outcomes PartnershipAtherosclerotic cardiovascular diseaseHealth systemHealth information technology infrastructureFederally Qualified Health CentersASCVD riskPopulation health researchHealth information exchangeData partnersQualified Health CentersAtherosclerotic cardiovascular disease risk factorsPrimary prevention practicesRhode IslandIntervention developmentHealth recordsHealth centersHealth researchHIES dataIncident diseasePrevention practicesHealth dataPrimary preventionHealthRisk factors
2022
Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals
Tahir U, Katz D, Avila-Pachecho J, Bick A, Pampana A, Robbins J, Yu Z, Chen Z, Benson M, Cruz D, Ngo D, Deng S, Shi X, Zheng S, Eisman A, Farrell L, Hall M, Correa A, Tracy R, Durda P, Taylor K, Liu Y, Johnson W, Guo X, Yao J, Chen Y, Manichaikul A, Ruberg F, Blaner W, Jain D, Bouchard C, Sarzynski M, Rich S, Rotter J, Wang T, Wilson J, Clish C, Natarajan P, Gerszten R. Whole Genome Association Study of the Plasma Metabolome Identifies Metabolites Linked to Cardiometabolic Disease in Black Individuals. Nature Communications 2022, 13: 4923. PMID: 35995766, PMCID: PMC9395431, DOI: 10.1038/s41467-022-32275-3.Peer-Reviewed Original ResearchConceptsGenome association studiesGenomic diversityAssociation studiesWhole-genome association studiesLocus-metabolite associationsIndividuals of European ancestryIntegrative omics approachMetabolite peaksGenetic informationCardiometabolic diseasesSpecific allelesEuropean ancestryOmics approachesSickle cell diseaseMulti-ethnic cohortTransthyretin amyloidosisAncestryHereditary diseaseIdentified metabolitesCell diseaseHuman metabolismUnknown metabolitesDiversityBlack individualsJackson Heart Study
2020
E-Consult Protocoling to Improve the Quality of Cardiac Stress Tests
Shah N, Eisman A, Winchester D, Morrison A, Qureshi R, Sarkar I, Wu W. E-Consult Protocoling to Improve the Quality of Cardiac Stress Tests. JACC Cardiovascular Imaging 2020, 14: 512-514. PMID: 33011119, PMCID: PMC8045139, DOI: 10.1016/j.jcmg.2020.08.009.Peer-Reviewed Original ResearchExercise Pulmonary Hypertension Predicts Clinical Outcomes in Patients With Dyspnea on Effort
Ho J, Zern E, Lau E, Wooster L, Bailey C, Cunningham T, Eisman A, Hardin K, Farrell R, Sbarbaro J, Schoenike M, Houstis N, Baggish A, Shah R, Nayor M, Malhotra R, Lewis G. Exercise Pulmonary Hypertension Predicts Clinical Outcomes in Patients With Dyspnea on Effort. Journal Of The American College Of Cardiology 2020, 75: 17-26. PMID: 31918830, PMCID: PMC7043927, DOI: 10.1016/j.jacc.2019.10.048.Peer-Reviewed Original ResearchConceptsExercise pulmonary hypertensionPulmonary artery pressurePulmonary hypertensionAbnormal pulmonary artery pressureCardiac outputChronic exertional dyspneaEvent-free survivalInvasive hemodynamic monitoringPredicting clinical outcomesBurden of PHCV event-free survivalCardiopulmonary exercise testingPredicting adverse eventsTargeted therapeutic interventionsPH subtypesExertional dyspneaPrognostic implicationsClinical outcomesAdverse eventsResting pHResponse to exerciseDeath eventsFollow-upHemodynamic assessmentArterial pressure
2019
Differential Clinical Profiles, Exercise Responses, and Outcomes Associated With Existing HFpEF Definitions
Ho J, Zern E, Wooster L, Bailey C, Cunningham T, Eisman A, Hardin K, Zampierollo G, Jarolim P, Pappagianopoulos P, Malhotra R, Nayor M, Lewis G. Differential Clinical Profiles, Exercise Responses, and Outcomes Associated With Existing HFpEF Definitions. Circulation 2019, 140: 353-365. PMID: 31132875, PMCID: PMC6684250, DOI: 10.1161/circulationaha.118.039136.Peer-Reviewed Original ResearchConceptsHeart Failure Society of AmericaEuropean Society of CardiologyClinical profileHeart failureCardiovascular outcomesComprehensive cardiopulmonary exercise testingHemodynamic profile of patientsChronic exertional dyspneaDefinitions of HFpEFExercise responseSuspected heart failureAmerican College of Cardiology/American Heart AssociationInvasive hemodynamic monitoringPhenotype of patientsIncidence of cardiovascular outcomesCardiopulmonary exercise testingProfile of patientsClinical trial criteriaSociety of CardiologyPeak oxygen uptakeConsecutive patientsHFpEF subgroupsEjection fractionExertional dyspneaPrognostic implications
2018
Impaired right ventricular reserve predicts adverse cardiac outcomes in adults with congenital right heart disease
Yeh D, Schmidt A, Eisman A, Serfas J, Naqvi M, Youniss M, Ryfa A, Khan A, Safi L, Tabtabai S, Bhatt A, Lewis G. Impaired right ventricular reserve predicts adverse cardiac outcomes in adults with congenital right heart disease. Heart 2018, 104: 2044. PMID: 30030334, DOI: 10.1136/heartjnl-2017-312572.Peer-Reviewed Original ResearchConceptsCardiopulmonary exercise testingRV reserveRight ventricleHeart failureNew York Heart Association classPrimary composite clinical outcomeFirst-pass radionuclide ventriculographyPrevalence of heart failureRV ejection fractionRV systolic functionEvent-free survivalMedian follow-upCongenital heart diseaseReserve groupComposite clinical outcomeAdverse cardiac outcomesTertiary care centreRight ventricular reserveAdverse cardiovascular outcomesPredicting adverse cardiovascular outcomesSystolic function assessmentRV dilatationACHD populationPrognostic impactAsymptomatic patientsAn Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria.
Eisman A, Weiner R, Chen E, Stey P, Wadhera R, Kithcart A, Sarkar I. An Automated System for Categorizing Transthoracic Echocardiography Indications According to the Echocardiography Appropriate Use Criteria. AMIA Annual Symposium Proceedings 2018, 2017: 670-678. PMID: 29854132, PMCID: PMC5977700.Peer-Reviewed Original ResearchConceptsTransthoracic echocardiography indicationTransthoracic echocardiographyAppropriate Use CriteriaTransthoracic echocardiography useTransthoracic echocardiography reportsEchocardiography indicatorsRule-based methodPatient populationValvular assessmentEchocardiographyDevelopment of systemsPhysician's decisionAutomated classificationAutomated approachTrained physiciansAppropriate useAutomated systemCriteria
2017
Exercise Intolerance in Heart Failure With Preserved Ejection Fraction
Houstis N, Eisman A, Pappagianopoulos P, Wooster L, Bailey C, Wagner P, Lewis G. Exercise Intolerance in Heart Failure With Preserved Ejection Fraction. Circulation 2017, 137: 148-161. PMID: 28993402, PMCID: PMC5760316, DOI: 10.1161/circulationaha.117.029058.Peer-Reviewed Original ResearchConceptsCardiopulmonary exercise testingExercise capacityCardiac outputExercise intoleranceHeart failurePathway defectsDiffusing capacityExercise testMechanisms of exercise intolerancePeak VO<sub>2</sub>Patient's cardiac outputSymptoms of HFpEFBody mass indexPatient's exercise capacityEjection fractionHFpEFMass indexInvasive monitoringPatient's defectRelative to controlsBlood gasesMultiple defectsPatientsComorbid defectsDisease heterogeneity
2016
Pulmonary Vascular Distensibility Predicts Pulmonary Hypertension Severity, Exercise Capacity, and Survival in Heart Failure
Malhotra R, Dhakal B, Eisman A, Pappagianopoulos P, Dress A, Weiner R, Baggish A, Semigran M, Lewis G. Pulmonary Vascular Distensibility Predicts Pulmonary Hypertension Severity, Exercise Capacity, and Survival in Heart Failure. Circulation Heart Failure 2016, 9: e003011. PMID: 27301469, PMCID: PMC4911900, DOI: 10.1161/circheartfailure.115.003011.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntihypertensive AgentsArterial PressureCase-Control StudiesDouble-Blind MethodExercise TestExercise ToleranceFemaleHeart FailureHumansHypertension, PulmonaryKaplan-Meier EstimateLinear ModelsMaleMiddle AgedModels, CardiovascularMultivariate AnalysisPhosphodiesterase 5 InhibitorsPredictive Value of TestsProportional Hazards ModelsProspective StudiesPulmonary ArteryRisk AssessmentRisk FactorsSeverity of Illness IndexSildenafil CitrateStroke VolumeTime FactorsTreatment OutcomeVascular StiffnessVasodilator AgentsVentricular Function, RightConceptsPV distensibilityPulmonary arterial hypertensionReduced ejection fractionHeart failureEjection fractionExercise capacityArterial hypertensionHF patientsRight ventricular ejection fractionPulmonary artery wedge pressureReduced ejection fraction groupPulmonary arterial hypertension groupFirst-pass radionuclide ventriculographyPulmonary vasodilator therapyRV systolic functionVentricular ejection fractionLeft heart failurePulmonary artery pressureEjection fraction groupPulmonary hypertension severityRight ventricular performanceArterial hypertension groupInvasive hemodynamic monitoringWeeks of treatmentPredictors of peak VO2Association of Fitness in Young Adulthood With Survival and Cardiovascular Risk: The Coronary Artery Risk Development in Young Adults (CARDIA) Study
Shah R, Murthy V, Colangelo L, Reis J, Venkatesh B, Sharma R, Abbasi S, Goff D, Carr J, Rana J, Terry J, Bouchard C, Sarzynski M, Eisman A, Neilan T, Das S, Jerosch-Herold M, Lewis C, Carnethon M, Lewis G, Lima J. Association of Fitness in Young Adulthood With Survival and Cardiovascular Risk: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. JAMA Internal Medicine 2016, 176: 1-9. PMID: 26618471, PMCID: PMC5292201, DOI: 10.1001/jamainternmed.2015.6309.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAsymptomatic DiseasesCardiovascular DiseasesCoronary Artery DiseaseExercise TestFemaleHeart VentriclesHumansHypertrophy, Left VentricularLongitudinal StudiesMaleMiddle AgedMortalityObesityPhysical FitnessProportional Hazards ModelsProspective StudiesTomography, X-Ray ComputedUltrasonographyUnited StatesVascular CalcificationYoung AdultConceptsCardiorespiratory fitnessIncident cardiovascular diseaseCoronary artery calcificationCardiovascular diseaseEffects of cardiorespiratory fitnessHazard of cardiovascular diseaseCoronary Artery Risk DevelopmentHigher level of fitnessImprove cardiorespiratory fitnessAssociation of fitnessBaseline cardiorespiratory fitnessExercise test durationAssessment of obesityAssociated with lower riskFollow-upLevel of fitnessTreadmill exercise testBaseline study visitCardiovascular disease eventsYoung adultsLeft ventricular massSubclinical cardiovascular diseasePresence of coronary artery calcificationYoung adulthoodAssociated with coronary artery calcification
2015
Abdominal fat radiodensity, quantity and cardiometabolic risk: The Multi-Ethnic Study of Atherosclerosis
Shah R, Allison M, Lima J, Abbasi S, Eisman A, Lai C, Jerosch-Herold M, Budoff M, Murthy V. Abdominal fat radiodensity, quantity and cardiometabolic risk: The Multi-Ethnic Study of Atherosclerosis. Nutrition Metabolism And Cardiovascular Diseases 2015, 26: 114-122. PMID: 26817938, PMCID: PMC4775418, DOI: 10.1016/j.numecd.2015.12.002.Peer-Reviewed Original ResearchMeSH KeywordsAbdominal FatAdiponectinAdiposityAgedAtherosclerosisBiomarkersC-Reactive ProteinFemaleHumansIncidenceInsulinIntra-Abdominal FatLeptinLinear ModelsLogistic ModelsMaleMetabolic SyndromeMiddle AgedMultivariate AnalysisOdds RatioPredictive Value of TestsPrevalenceProportional Hazards ModelsRisk FactorsSubcutaneous Fat, AbdominalTomography, X-Ray ComputedUnited StatesConceptsCardiometabolic riskAssociated with prevalent MetSCardiovascular disease risk factorsMulti-Ethnic Study of AtherosclerosisMeasures of regional fat distributionAssociated with incident MetSMarkers of cardiometabolic riskIncident metabolic syndromeDisease risk factorsFat radiodensityMetabolic syndromeMulti-Ethnic StudyStudy of AtherosclerosisVisceral fat quantityIncident MetSPrevalent MetSRegional fat distributionComputed tomographyMeasure associationsFat quantityFat distributionRisk factorsCardiometabolic dysfunctionAssociated with quantityIntermuscular fat depotsNative Myocardial T1 as a Biomarker of Cardiac Structure in Non-Ischemic Cardiomyopathy
Shah R, Kato S, Roujol S, Murthy V, Bellm S, Kashem A, Basha T, Jang J, Eisman A, Manning W, Nezafat R. Native Myocardial T1 as a Biomarker of Cardiac Structure in Non-Ischemic Cardiomyopathy. The American Journal Of Cardiology 2015, 117: 282-288. PMID: 26684511, DOI: 10.1016/j.amjcard.2015.10.046.Peer-Reviewed Original ResearchConceptsExtracellular volume fractionNative myocardial T1Nonischemic cardiomyopathyNative T1Myocardial T1Right ventricular ejection fractionMyocardial tissue compositionAtrial volume indexNative T1 timeVentricular ejection fractionDiffuse myocardial fibrosisOvert cardiovascular diseaseAssociations of native T1Myocardial tissue remodelingMyocardial T2Ejection fractionMyocardial fibrosisCardiac structureMultivariable adjustmentMyocardial segmentsLVEFMyocardial structureNon-ischemicVolume indexCardiovascular diseaseECG findings in competitive rowers: normative data and the prevalence of abnormalities using contemporary screening recommendations.
Wasfy M, DeLuca J, Wang F, Berkstresser B, Ackerman K, Eisman A, Lewis G, Hutter A, Weiner R, Baggish A. ECG findings in competitive rowers: normative data and the prevalence of abnormalities using contemporary screening recommendations. BMC Sports Science, Medicine And Rehabilitation 2015, 7: o19. PMCID: PMC4535366, DOI: 10.1186/2052-1847-7-s1-o19.Peer-Reviewed Original ResearchPre-discharge Bedside Exercise Gas Exchange Measurements Predict 30 Day Heart Failure Patient Readmissions
Lewis G, Dress A, Ewald G, Flanagan J, Eckman P, Eisman A, Nelson J, MacCarter D, Kocheril A. Pre-discharge Bedside Exercise Gas Exchange Measurements Predict 30 Day Heart Failure Patient Readmissions. Journal Of Cardiac Failure 2015, 21: s126. DOI: 10.1016/j.cardfail.2015.06.364.Peer-Reviewed Original ResearchPulmonary vascular response patterns during exercise in interstitial lung disease
Degani-Costa L, Levarge B, Digumarthy S, Eisman A, Harris R, Lewis G. Pulmonary vascular response patterns during exercise in interstitial lung disease. European Respiratory Journal 2015, 46: 738-749. PMID: 25976688, DOI: 10.1183/09031936.00191014.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAgedAnaerobic ThresholdCardiac OutputChi-Square DistributionCohort StudiesExercise TestExercise ToleranceFemaleHumansHypertension, PulmonaryLinear ModelsLogistic ModelsLung Diseases, InterstitialMaleMiddle AgedPredictive Value of TestsPrognosisReference ValuesRespiratory Function TestsRetrospective StudiesRisk AssessmentSex FactorsStroke VolumeVascular ResistanceConceptsInterstitial lung diseasePulmonary vascular dysfunctionPulmonary artery pressureAbnormal pulmonary vascular responseInvasive cardiopulmonary exercise testingInterstitial lung disease patientsPulmonary vascular responsePeak oxygen consumptionPulmonary hypertensionAssociated with lower peak oxygen consumptionLung diseaseVascular responsesAbnormal pulmonary artery pressureMean pulmonary artery pressureLow peak oxygen consumptionMinute ventilation/carbon dioxide productionOvert pulmonary hypertensionPulmonary vascular diseaseVentilation/carbon dioxide productionExercise oxygen desaturationPulmonary function testsCardiopulmonary exercise testingBody mass indexMean PAPOxygen desaturation
2014
Mechanisms of Exercise Intolerance in Heart Failure With Preserved Ejection Fraction
Dhakal B, Malhotra R, Murphy R, Pappagianopoulos P, Baggish A, Weiner R, Houstis N, Eisman A, Hough S, Lewis G. Mechanisms of Exercise Intolerance in Heart Failure With Preserved Ejection Fraction. Circulation Heart Failure 2014, 8: 286-294. PMID: 25344549, PMCID: PMC5771713, DOI: 10.1161/circheartfailure.114.001825.Peer-Reviewed Original ResearchConceptsHeart failureExercise capacityEjection fractionC(a-v)O2Peripheral O2 extractionMechanisms of exercise intoleranceElevated systemic blood pressureIV heart failureReduced ejection fractionCardiac filling pressuresInvasive hemodynamic monitoringMaximum incremental cardiopulmonary exercise testingPeripheral microvascular functionPeak respiratory exchange ratioSystemic blood pressureImpaired exercise capacityO2 extractionPredictors of peak VO2Cardiopulmonary exercise testingIncremental cardiopulmonary exercise testImpairing O2 extractionNYHA IIPeak heart ratePeak oxygen uptakeIntrinsic abnormality