2023
Prevalence 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 statusSymptoms
2019
Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project
Mahajan S, Zhang D, He S, Lu Y, Gupta A, Spatz ES, Lu J, Huang C, Herrin J, Liu S, Yang J, Wu C, Cui J, Zhang Q, Li X, Nasir K, Zheng X, Krumholz HM, Li J, Dong Z, Jiang B, Zhang Y, Liu Y, Meng Y, Xi Y, Tian Y, Fu Y, Liu T, Yan S, Jin L, Wang J, Xu X, Xing X, Zhang L, Fang X, Xu Y, Xu C, Fan L, Qi M, Qi J, Li J, Liu Q, Feng Y, Wang J, Wen H, Xu J, He J, Jiang C, Yang C, Yu Y, Tashi Z, Hu Z, Zhang J, Li X, Ma S, Ma Y, Huang Y, Zhang Y, Shen J. Prevalence, Awareness, and Treatment of Isolated Diastolic Hypertension: Insights From the China PEACE Million Persons Project. Journal Of The American Heart Association 2019, 8: e012954. PMID: 31566101, PMCID: PMC6806046, DOI: 10.1161/jaha.119.012954.Peer-Reviewed Original ResearchConceptsMillion Persons ProjectPrior cardiovascular eventsBody mass indexAntihypertensive medicationsDiastolic hypertensionCardiovascular eventsDiabetes mellitusMass indexIsolated diastolic hypertensionDiastolic blood pressureSelf-reported diagnosisTreatment of peoplePersons ProjectBlood pressureTreatment patternsHypertensionLeast collegeHigher likelihoodMellitusMedicationsPrevalenceTreatmentDiagnosisSubstantial numberCurrent useAssociation of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study
Ding Q, Funk M, Spatz ES, Whittemore R, Lin H, Lipska KJ, Dreyer RP, Spertus JA, Krumholz HM. Association of Diabetes Mellitus With Health Status Outcomes in Young Women and Men After Acute Myocardial Infarction: Results From the VIRGO Study. Journal Of The American Heart Association 2019, 8: e010988. PMID: 31441351, PMCID: PMC6755841, DOI: 10.1161/jaha.118.010988.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsDiabetes MellitusFemaleHealth StatusHealth Status IndicatorsHumansMaleMental HealthMiddle AgedMyocardial InfarctionPatient Reported Outcome MeasuresPredictive Value of TestsPrevalencePrognosisQuality of LifeRecovery of FunctionRisk AssessmentRisk FactorsSex FactorsSpainTime FactorsUnited StatesYoung AdultConceptsAcute myocardial infarctionEuroQol visual analogue scaleSeattle Angina QuestionnaireDiabetes mellitusForm Health SurveyHealth status outcomesHealth statusVIRGO StudyAnalog scaleMyocardial infarctionHealth SurveyStatus outcomesYoung adultsSAQ angina frequencyCardiovascular risk factorsHealth status scoresRisk of mortalityWorse health statusPoor health statusQuality of lifeWorse anginaAngina QuestionnaireClinical characteristicsHealthcare useStatus score
2018
Favorable Modifiable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs Among Cancer Patients: The 2012–2013 Medical Expenditure Panel Survey
Singh J, Valero‐Elizondo J, Salami JA, Warraich HJ, Ogunmoroti O, Spatz ES, Desai N, Rana JS, Virani SS, Blankstein R, Blaha MJ, Nasir K. Favorable Modifiable Cardiovascular Risk Profile Is Associated With Lower Healthcare Costs Among Cancer Patients: The 2012–2013 Medical Expenditure Panel Survey. Journal Of The American Heart Association 2018, 7: e007874. PMID: 29686026, PMCID: PMC6015292, DOI: 10.1161/jaha.117.007874.Peer-Reviewed Original ResearchConceptsAtherosclerotic cardiovascular diseaseAbsence of ASCVDCancer patientsMedical Expenditure PanelCRF profileRepresentative US adult populationHealthcare expendituresCardiovascular risk profileRisk factor profileBurden of cancerMean annual costAnnual healthcare expendituresMedical Expenditure Panel SurveyUS adult populationLower medical expendituresYears of ageLower healthcare costsCardiovascular managementCardiovascular diseaseHigh prevalenceRepresentative adult sampleUS adultsTwo-part econometric modelHealthcare costsEconomic burdenComparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States
Lu Y, Wang P, Zhou T, Lu J, Spatz ES, Nasir K, Jiang L, Krumholz HM. Comparison of Prevalence, Awareness, Treatment, and Control of Cardiovascular Risk Factors in China and the United States. Journal Of The American Heart Association 2018, 7: e007462. PMID: 29374046, PMCID: PMC5850247, DOI: 10.1161/jaha.117.007462.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsAttitude of Health PersonnelBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesChinaDiabetes MellitusDyslipidemiasFemaleHealth Knowledge, Attitudes, PracticeHealth Status DisparitiesHumansHypertensionHypolipidemic AgentsLipidsLongitudinal StudiesMaleMiddle AgedNutrition SurveysObesityPractice Patterns, Physicians'PrevalencePrognosisRisk AssessmentRisk FactorsTime FactorsUnited StatesWaist CircumferenceConceptsHigher stroke prevalenceCardiovascular risk factorsHigh-sensitivity C-reactive proteinBody mass indexC-reactive proteinRisk factorsBlood pressureWaist circumferenceMass indexStroke prevalenceCardiovascular risk factor profileHigher mean blood pressureControl of hypertensionMean blood pressureBlood pressure levelsRisk factor profileComparison of prevalenceRepresentative population sampleLower ratesDyslipidemia awarenessSevere hypertensionHemoglobin A1cHypertension treatmentControl ratePlasma glucose
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 disparitiesPrevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project)
Lu J, Lu Y, Wang X, Li X, Linderman GC, Wu C, Cheng X, Mu L, Zhang H, Liu J, Su M, Zhao H, Spatz ES, Spertus JA, Masoudi FA, Krumholz HM, Jiang L. Prevalence, awareness, treatment, and control of hypertension in China: data from 1·7 million adults in a population-based screening study (China PEACE Million Persons Project). The Lancet 2017, 390: 2549-2558. PMID: 29102084, DOI: 10.1016/s0140-6736(17)32478-9.Peer-Reviewed Original ResearchConceptsControl of hypertensionBlood pressureAntihypertensive medicationsCardiac Events Million Persons ProjectSelf-reported antihypertensive medication usePopulation-based screening studyPopulation-based screening projectMillion Persons ProjectPrescribed antihypertensive medicationsPrevious cardiovascular eventsAntihypertensive medication useDiastolic blood pressureSystolic blood pressureManagement of hypertensionCalcium channel blockersProportion of participantsSelf-reported diagnosisCommunity-dwelling adultsSex-standardised ratesCardiovascular eventsHypertensive adultsMedication classesHypertension awarenessHypertension prevalenceClinical factorsTrends in Cardiovascular Health of US Adults by Income, 2005-2014
Beckman AL, Herrin J, Nasir K, Desai NR, Spatz ES. Trends in Cardiovascular Health of US Adults by Income, 2005-2014. JAMA Cardiology 2017, 2: 814-816. PMID: 28593300, PMCID: PMC5815082, DOI: 10.1001/jamacardio.2017.1654.Peer-Reviewed Original ResearchYoung Women With Acute Myocardial Infarction
Dreyer RP, Sciria C, Spatz ES, Safdar B, D'Onofrio G, Krumholz HM. Young Women With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2017, 10: e003480. PMID: 28228455, PMCID: PMC5502480, DOI: 10.1161/circoutcomes.116.003480.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung womenMyocardial infarctionManagement of AMIPost-AMI periodContinuum of careCoronary diseaseAged menHigh riskWorse recoveryWomenInfarctionHighlight gapsRecent studiesDifferent mechanismsMorbidityHospitalMortalityEpidemiologyPublic awarenessDiseaseDiagnosisCare
2016
A Systematic Review of the Prevalence and Outcomes of Ideal Cardiovascular Health in US and Non-US Populations
Younus A, Aneni EC, Spatz ES, Osondu CU, Roberson L, Ogunmoroti O, Malik R, Ali SS, Aziz M, Feldman T, Virani SS, Maziak W, Agatston AS, Veledar E, Nasir K. A Systematic Review of the Prevalence and Outcomes of Ideal Cardiovascular Health in US and Non-US Populations. Mayo Clinic Proceedings 2016, 91: 649-670. PMID: 27040086, DOI: 10.1016/j.mayocp.2016.01.019.Peer-Reviewed Original ResearchConceptsIdeal CVH metricsNon-CVD outcomesIdeal cardiovascular health metricsCVH metricsIdeal cardiovascular healthCardiovascular healthLow prevalenceAmerican Heart Association ideal cardiovascular health (CVH) metricsSystematic reviewMore ideal CVH metricsIncident cardiovascular eventsCardiovascular health metricsPopulation-based studyNon-US populationsCochrane RegisterCardiovascular eventsControlled TrialsUS cohortInverse associationCardiovascular diseaseCINAHL databasesMortality riskMortality studyCognitive impairmentUS population
2015
Trends in Ideal Cardiovascular Health Metrics Among Employees of a Large Healthcare Organization (from the Baptist Health South Florida Employee Study)
Ogunmoroti O, Utuama O, Spatz ES, Rouseff M, Parris D, Das S, Younus A, Guzman H, Tran T, Agatston A, Feldman T, Virani SS, Maziak W, Veledar E, Nasir K. Trends in Ideal Cardiovascular Health Metrics Among Employees of a Large Healthcare Organization (from the Baptist Health South Florida Employee Study). The American Journal Of Cardiology 2015, 117: 787-793. PMID: 26754123, DOI: 10.1016/j.amjcard.2015.11.061.Peer-Reviewed Original ResearchConceptsBody mass indexIdeal cardiovascular healthCardiovascular healthCVH metricsBlood pressureTotal cholesterolBlood glucosePhysical activityComprehensive workplace wellness programIdeal cardiovascular health metricsStudy participantsHealth risk assessmentCardiovascular health metricsCochrane-Armitage testBaptist Health SystemCohort of employeesWorkplace wellness programsLarge health care organizationOverall cohortAHA criteriaMass indexMean ageHealth fairsCardiovascular diseaseMale ratioPrevalence of Ideal Cardiovascular Health Among Adults in the United States
Younus A, Aneni EC, Spatz ES, Osondu CU, Shaharyar S, Roberson L, Ali SS, Ogunmoroti O, Ahmad R, Post J, Feldman T, Maziak W, Agatston AS, Veledar E, Nasir K. Prevalence of Ideal Cardiovascular Health Among Adults in the United States. Journal Of The American College Of Cardiology 2015, 66: 1633-1634. PMID: 26429090, DOI: 10.1016/j.jacc.2015.06.1348.Peer-Reviewed Original Research