2024
Race, Ethnicity, and Gender Differences in Patient Reported Well-Being and Cognitive Functioning Within 3 Months of Symptomatic Illness During COVID-19 Pandemic
Hill M, Huebinger R, Ebna Mannan I, Yu H, Wisk L, O’Laughlin K, Gentile N, Stephens K, Gottlieb M, Weinstein R, Koo K, Santangelo M, Saydah S, Spatz E, Lin Z, Schaeffer K, Kean E, Montoy J, Rodriguez R, Idris A, McDonald S, Elmore J, Venkatesh A. Race, Ethnicity, and Gender Differences in Patient Reported Well-Being and Cognitive Functioning Within 3 Months of Symptomatic Illness During COVID-19 Pandemic. Journal Of Racial And Ethnic Health Disparities 2024, 1-18. PMID: 39172356, DOI: 10.1007/s40615-024-02124-8.Peer-Reviewed Original ResearchPROMIS T-scoresPain interferenceBlack participantsWell-beingHealth-related quality of lifeNon-Hispanic white participantsCognitive functionMeasures of healthHealth-related qualityMethodsThis prospective cohort studyFollow-up surveyProspective cohort studyT-scoreQuality of lifeCOVID-19-related health outcomesLower well-beingPROMIS-29Physical functionHealth outcomesBaseline to 3Social participationWhite participantsCohort studyCOVID-19Sleep disturbanceThe association between prolonged SARS-CoV-2 symptoms and work outcomes
Venkatesh A, Yu H, Malicki C, Gottlieb M, Elmore J, Hill M, Idris A, Montoy J, O’Laughlin K, Rising K, Stephens K, Spatz E, Weinstein R, Group F. The association between prolonged SARS-CoV-2 symptoms and work outcomes. PLOS ONE 2024, 19: e0300947. PMID: 39074096, PMCID: PMC11285965, DOI: 10.1371/journal.pone.0300947.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 symptomsReturn to workAssociated with increased oddsAnalyzed self-reported dataNational cohort studySelf-reported dataLong COVIDCOVID-19 pandemicLost work timePublic health emergencyWork absenteeismMissed workdaysElectronic surveyEmployment statusSARS-CoV-2 infectionWell-being impactsOdds ratioWork lossCohort studyNumerous healthImpact of long COVIDCOVID-19Risk factorsThree-monthsHealth emergencyDevelopment 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
Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction
Zhu C, Dreyer R, Li F, Spatz E, Caraballo‐Cordovez C, Mahajan S, Raparelli V, Leifheit E, Lu Y, Krumholz H, Spertus J, D'Onofrio G, Pilote L, Lichtman J. Impact of Marital Stress on 1‐Year Health Outcomes Among Young Adults With Acute Myocardial Infarction. Journal Of The American Heart Association 2023, 12: e030031. PMID: 37589125, PMCID: PMC10547344, DOI: 10.1161/jaha.123.030031.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionCardiac-specific qualityGeneric health statusMyocardial infarctionBaseline healthMarital stressHealth outcomesHealth statusWorse patient-reported outcomesMental healthYoung adultsObservational cohort studyPatient-reported outcomesSocioeconomic factorsWorse mental healthReadmission 1Cause readmissionCohort studyYounger patientsRoutine screeningDepressive symptomsGreater oddsAnginaMale participantsOutcomesPrevalence of Symptoms ≤12 Months After Acute Illness, by COVID-19 Testing Status Among Adults — United States, December 2020–March 2023
Montoy J, Ford J, Yu H, Gottlieb M, Morse D, Santangelo M, O’Laughlin K, Schaeffer K, Logan P, Rising K, Hill M, Wisk L, Salah W, Idris A, Huebinger R, Spatz E, Rodriguez R, Klabbers R, Gatling K, Wang R, Elmore J, McDonald S, Stephens K, Weinstein R, Venkatesh A, Saydah S, Group I, Group I, Ahmed Z, Choi M, Derden A, Gottlieb M, Guzman D, Hassaballa M, Jerger R, Kaadan M, Koo K, Yang G, Dorney J, Kinsman J, Li S, Lin Z, Mannan I, Pierce S, Puente X, Ulrich A, Yang Z, Yu H, Adams K, Anderson J, Chang G, Gentile N, Geyer R, Maat Z, Malone K, Nichol G, Park J, Ruiz L, Schiffgens M, Stober T, Willis M, Zhang Z, Amadio G, Charlton A, Cheng D, Grau D, Hannikainen P, Kean E, Kelly M, Miao J, Renzi N, Shughart H, Shughart L, Shutty C, Watts P, Kane A, Nikonowicz P, Sapp S, Gallegos D, Martin R, Chandler C, Eguchi M, L’Hommedieu M, Moreno R, Roldan K, Arreguin M, Chan V, Chavez C, Kemball R, Wong A, Briggs-Hagen M, Hall A, Plumb I. Prevalence of Symptoms ≤12 Months After Acute Illness, by COVID-19 Testing Status Among Adults — United States, December 2020–March 2023. MMWR Morbidity And Mortality Weekly Report 2023, 72: 859-865. PMID: 37561663, PMCID: PMC10415002, DOI: 10.15585/mmwr.mm7232a2.Peer-Reviewed Original ResearchConceptsCOVID-like illnessSARS-CoV-2 test resultsPost-COVID conditionsNegative SARS-CoV-2 test resultsPositive SARS-CoV-2 test resultProspective multicenter cohort studySARS-CoV-2 infectionMulticenter cohort studyPrevalence of symptomsTime of enrollmentCOVID-19 testing statusHealth care providersSARS-CoV-2Self-reported symptomsCohort studyPersistent symptomsAcute illnessAntigen testPolymerase chain reactionClinical signsSymptom progressionCare providersDrug AdministrationTesting statusSymptomsLifetime 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 modelsAdjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions
Lipska K, Altaf F, Barthel A, Spatz E, Lin Z, Herrin J, Bernheim S, Drye E. Adjustment for Social Risk Factors in a Measure of Clinician Quality Assessing Acute Admissions for Patients With Multiple Chronic Conditions. JAMA Health Forum 2023, 4: e230081. PMID: 36897581, DOI: 10.1001/jamahealthforum.2023.0081.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsSocial risk factorsMedicare-Medicaid dual eligibilityRisk factorsChronic conditionsSocioeconomic status indexMeasure scoresAcute admissionsCohort studyDual eligibilityHealthcare ResearchDual-eligible patientsRetrospective cohort studyUnplanned hospital admissionsRisk of hospitalizationArea Health Resource FileService beneficiaries 65 yearsBeneficiaries 65 yearsRisk factor adjustmentStatus indexMedicare administrative claimsHospital admissionOutcome measuresAdministrative claimsMAIN OUTCOME
2022
Three-Month Symptom Profiles Among Symptomatic Adults With Positive and Negative Severe Acute Respiratory Syndrome Coronavirus 2 Tests: A Prospective Cohort Study From the INSPIRE Group
Spatz E, Gottlieb M, Wisk L, Anderson J, Chang A, Gentile N, Hill M, Huebinger R, Idris A, Kinsman J, Koo K, Li S, McDonald S, Plumb I, Rodriguez R, Saydah S, Slovis B, Stephens K, Unger E, Wang R, Yu H, Hota B, Elmore J, Weinstein R, Venkatesh A. Three-Month Symptom Profiles Among Symptomatic Adults With Positive and Negative Severe Acute Respiratory Syndrome Coronavirus 2 Tests: A Prospective Cohort Study From the INSPIRE Group. Clinical Infectious Diseases 2022, 76: 1559-1566. PMID: 36573005, PMCID: PMC11361781, DOI: 10.1093/cid/ciac966.Peer-Reviewed Original ResearchConceptsSARS-CoV-2 symptomsSARS-CoV-2 infectionPost-infectious syndromesProspective cohort studyCohort studyCOVID groupAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionSARS-CoV-2 test resultsSyndrome coronavirus 2 infectionEar/nose/throatSevere acute respiratory syndrome coronavirus 2 testsCoronavirus 2 infectionLong-term symptomsNose/throatLong COVIDSymptomatic adultsMean ageActive symptomsSymptom profilesDrug AdministrationSociodemographic characteristicsSymptomsInfectionMonthsAssociation of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness
Wisk L, Gottlieb M, Spatz E, Yu H, Wang R, Slovis B, Saydah S, Plumb I, O’Laughlin K, Montoy J, McDonald S, Lin Z, Lin J, Koo K, Idris A, Huebinger R, Hill M, Gentile N, Chang A, Anderson J, Hota B, Venkatesh A, Weinstein R, Elmore J, Nichol G, Santangelo M, Ulrich A, Li S, Kinsman J, Krumholz H, Dorney J, Stephens K, Black K, Morse D, Morse S, Fernandes A, Sharma A, Stober T, Geyer R, Lyon V, Adams K, Willis M, Ruiz L, Park J, Malone K, Shughart H, Schaeffer K, Shughart L, Arab A, Grau D, Patel A, Watts P, Kelly M, Hunt A, Hannikainen P, Chalfin M, Cheng D, Miao J, Shutty C, Chavez S, Kane A, Marella P, Gallegos G, Martin K, L'Hommedieu M, Chandler C, Diaz Roldan K, Villegas N, Moreno R, Eguchi M, Rodriguez R, Kemball R, Chan V, Chavez C, Wong A, Hall A, Briggs-Hagen M. Association of Initial SARS-CoV-2 Test Positivity With Patient-Reported Well-being 3 Months After a Symptomatic Illness. JAMA Network Open 2022, 5: e2244486. PMID: 36454572, PMCID: PMC9716377, DOI: 10.1001/jamanetworkopen.2022.44486.Peer-Reviewed Original ResearchConceptsCOVID-19 positive groupCOVID-19-negative groupSARS-CoV-2 infectionCOVID-19 testCOVID-19 resultsSymptomatic illnessSymptomatic SARS-CoV-2 infectionNegative COVID-19 resultsSARS-CoV-2 statusSARS-CoV-2 test positivityPositive COVID-19 testSARS-CoV-2 testNegative COVID-19 testLongitudinal registry studyOutcomes Measurement Information SystemPatient-reported outcomesHealth care usePositive COVID-19 resultMultivariable regression analysisMeasurement Information SystemCOVID-19 testingNegative test resultsCohort studyRegistry studyPROMIS scores
2019
Severe cardiovascular morbidity in women with hypertensive diseases during delivery hospitalization
Ackerman CM, Platner MH, Spatz ES, Illuzzi JL, Xu X, Campbell KH, Smith GN, Paidas MJ, Lipkind HS. Severe cardiovascular morbidity in women with hypertensive diseases during delivery hospitalization. American Journal Of Obstetrics And Gynecology 2019, 220: 582.e1-582.e11. PMID: 30742823, DOI: 10.1016/j.ajog.2019.02.010.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultCardiomyopathiesCardiovascular DiseasesCerebrovascular DisordersCohort StudiesEclampsiaEducational StatusElectric CountershockEthnicityFemaleHeart ArrestHeart FailureHospitalizationHumansHypertension, Pregnancy-InducedInformation Storage and RetrievalInsurance, HealthLogistic ModelsMiddle AgedMultivariate AnalysisMyocardial InfarctionNew York CityObesity, MaternalPovertyPre-EclampsiaPregnancyRetrospective StudiesSeverity of Illness IndexVentricular FibrillationYoung AdultConceptsSevere cardiovascular morbidityCardiovascular morbidityDelivery hospitalizationsHypertensive disordersSevere featuresNormotensive womenGestational hypertensionCardiovascular diseaseRetrospective cohort studyClinical risk factorsPregnancy-related deathsMultivariable logistic regressionChronic hypertensionDiligent screeningSingleton gestationsCohort studyHypertensive diseaseDiabetes mellitusMaternal deathsRisk factorsInclusion criteriaDiseases-10HospitalizationMorbidityPreeclampsia
2018
Life's Simple 7 and the risk of atrial fibrillation: The Multi-Ethnic Study of Atherosclerosis
Ogunmoroti O, Michos ED, Aronis KN, Salami JA, Blankstein R, Virani SS, Spatz ES, Allen NB, Rana JS, Blumenthal RS, Veledar E, Szklo M, Blaha MJ, Nasir K. Life's Simple 7 and the risk of atrial fibrillation: The Multi-Ethnic Study of Atherosclerosis. Atherosclerosis 2018, 275: 174-181. PMID: 29920438, DOI: 10.1016/j.atherosclerosis.2018.05.050.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAtrial FibrillationBlood GlucoseBlood PressureBody Mass IndexDiet, HealthyExerciseFemaleHealth StatusHealthy LifestyleHumansIncidenceLipidsMaleMiddle AgedPrimary PreventionProspective StudiesProtective FactorsRisk AssessmentRisk FactorsRisk Reduction BehaviorSmokingTime FactorsUnited StatesConceptsAtrial fibrillationMulti-Ethnic StudyRace/ethnicityHazard ratioOverall cohortSimple 7Cardiovascular healthCardiovascular diseaseLower riskAmerican Heart Association's LifeBurden of AFFirst AF episodeSimple 7 (LS7) metricsIdeal cardiovascular healthProportional hazard ratiosProspective cohort studyLife's Simple 7Hospital discharge recordsICD-9 codesLS7 metricsCohort studyIncidence rateAF episodesInadequate scoresAssociation's LifeSex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics
Gupta A, Barrabes JA, Strait K, Bueno H, Porta‐Sánchez A, Acosta‐Vélez J, Lidón R, Spatz E, Geda M, Dreyer RP, Lorenze N, Lichtman J, D'Onofrio G, Krumholz HM. Sex Differences in Timeliness of Reperfusion in Young Patients With ST‐Segment–Elevation Myocardial Infarction by Initial Electrocardiographic Characteristics. Journal Of The American Heart Association 2018, 7: e007021. PMID: 29514807, PMCID: PMC5907538, DOI: 10.1161/jaha.117.007021.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge of OnsetElectrocardiographyFemaleHealthcare DisparitiesHumansMaleMiddle AgedMyocardial ReperfusionPredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainST Elevation Myocardial InfarctionTime FactorsTime-to-TreatmentTreatment OutcomeUnited StatesYoung AdultConceptsST-segment elevation myocardial infarctionElectrocardiographic characteristicsMyocardial infarctionReperfusion delayYounger patientsVentricular hypertrophyST elevationPrehospital ECGLateral leadsMultivariable logistic regression modelTimeliness of reperfusionVoltage criteriaElevation myocardial infarctionLeft ventricular hypertrophyAcute myocardial infarctionYears of ageLogistic regression modelsSex differencesClinical characteristicsCohort studyElectrocardiographic correlatesMultivariable analysisFemale sexSpanish hospitalsReperfusion guidelines
2017
Age Differences in Hospital Mortality for Acute Myocardial Infarction: Implications for Hospital Profiling.
Dharmarajan K, McNamara RL, Wang Y, Masoudi FA, Ross JS, Spatz EE, Desai NR, de Lemos JA, Fonarow GC, Heidenreich PA, Bhatt DL, Bernheim SM, Slattery LE, Khan YM, Curtis JP. Age Differences in Hospital Mortality for Acute Myocardial Infarction: Implications for Hospital Profiling. Annals Of Internal Medicine 2017, 167: 555-564. PMID: 28973634, PMCID: PMC9359429, DOI: 10.7326/m16-2871.Peer-Reviewed Original ResearchConceptsRisk-standardized mortality ratesAcute myocardial infarctionOlder patientsYounger patientsMyocardial infarctionAge groupsHospital risk-standardized mortality ratesRetrospective cohort studyHospital mortality rankingsNational Quality ForumHospital mortalityMedian hospitalHospital outcomesCohort studyACTION RegistryAMI mortalityAmerican CollegeMedicare beneficiariesAMI hospitalizationPatientsMortality rateHospitalQuality ForumHospital ValueHospital profilingHIV/HCV coinfection and the risk of cardiovascular disease: A meta‐analysis
Osibogun O, Ogunmoroti O, Michos E, Spatz E, Olubajo B, Nasir K, Madhivanan P, Maziak W. HIV/HCV coinfection and the risk of cardiovascular disease: A meta‐analysis. Journal Of Viral Hepatitis 2017, 24: 998-1004. PMID: 28502092, DOI: 10.1111/jvh.12725.Peer-Reviewed Original ResearchConceptsHIV/HCV coinfectionHCV coinfectionHazard ratioCardiovascular diseaseHIV monoinfectionCVD riskHepatitis C virus coinfectionTraditional CVD risk factorsC virus coinfectionImproved antiretroviral therapyAdjusted hazard ratioCVD risk factorsRisk reduction therapyCongestive heart failureCoronary artery diseaseHuman immunodeficiency virusIncreased inflammatory responseRandom-effects modelWeb of ScienceHCV individualsAntiretroviral therapyCohort studyCVD outcomesArtery diseaseHeart failureNational Trends in Statin Use and Expenditures in the US Adult Population From 2002 to 2013: Insights From the Medical Expenditure Panel Survey
Salami JA, Warraich H, Valero-Elizondo J, Spatz ES, Desai NR, Rana JS, Virani SS, Blankstein R, Khera A, Blaha MJ, Blumenthal RS, Lloyd-Jones D, Nasir K. National Trends in Statin Use and Expenditures in the US Adult Population From 2002 to 2013: Insights From the Medical Expenditure Panel Survey. JAMA Cardiology 2017, 2: 56-65. PMID: 27842171, DOI: 10.1001/jamacardio.2016.4700.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseStatin useAdults 40 yearsUS adult populationAdult populationMedical Expenditure Panel Survey databaseRepresentative US adult populationUS adults 40 yearsRetrospective longitudinal cohort studyHigh-intensity doseHigh-risk groupLongitudinal cohort studyMedical Expenditure Panel SurveyGeneral adult populationBrand-name statinsCohort studyStatin usersCardiovascular diseaseMedical conditionsMAIN OUTCOMEUS adultsGeneral populationStatinsOOP costsGeneric statins
2016
Editor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis
Bucholz EM, Strait KM, Dreyer RP, Lindau ST, D’Onofrio G, Geda M, Spatz ES, Beltrame JF, Lichtman JH, Lorenze NP, Bueno H, Krumholz HM. Editor’s Choice-Sex differences in young patients with acute myocardial infarction: A VIRGO study analysis. European Heart Journal Acute Cardiovascular Care 2016, 6: 610-622. PMID: 27485141, PMCID: PMC5459677, DOI: 10.1177/2048872616661847.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionMyocardial infarctionYoung womenTime of AMIST-segment elevation myocardial infarctionHigh clinical risk scoreSegment elevation myocardial infarctionChronic obstructive pulmonary diseaseYoung AMI patientsCardiovascular risk factorsClinical risk scorePre-hospital delayProspective cohort studyCongestive heart failureElevation myocardial infarctionObstructive pulmonary diseaseHigh-risk populationYoung menMental health statusElectrocardiogram findingsMorbid obesityCardiovascular riskCohort studyRenal failureYounger patients
2015
Qingdao Port Cardiovascular Health Study: a prospective cohort study
Spatz ES, Jiang X, Lu J, Masoudi FA, Spertus JA, Wang Y, Li X, Downing NS, Nasir K, Du X, Li J, Krumholz HM, Liu X, Jiang L. Qingdao Port Cardiovascular Health Study: a prospective cohort study. BMJ Open 2015, 5: e008403. PMID: 26656011, PMCID: PMC4679897, DOI: 10.1136/bmjopen-2015-008403.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCohort StudiesCost of IllnessDiabetes Mellitus, Type 2Early DiagnosisEnvironmental ExposureFemaleHealth BehaviorHealth SurveysHumansHyperlipidemiasHypertensionIncidenceMaleMiddle AgedOccupational ExposurePhysical ExaminationPreventive Health ServicesProspective StudiesRisk FactorsSelf ReportSocioeconomic FactorsWorkplaceConceptsAnnual health assessmentCardiovascular diseaseRisk factorsUnique risk factor profileCardiovascular risk factorsClinical risk factorsProspective cohort studyRisk factor profileHospital medical recordsCardiovascular Health StudyPopulation-based studyPopulation-based strategiesHealth assessmentCardiovascular outcomesCohort studyCarotid ultrasoundMean agePhysical examinationCardiovascular healthHeart diseaseMedical recordsDisease onsetMedical insurance claimsHealth StudyUrine analysis