2024
The 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 emergencySecondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts
Rivier C, Acosta J, Leasure A, Forman R, Sharma R, de Havenon A, Spatz E, Inzucchi S, Kernan W, Falcone G, Sheth K. Secondary Prevention in Patients With Stroke Versus Myocardial Infarction: Analysis of 2 National Cohorts. Journal Of The American Heart Association 2024, 13: e033322. PMID: 38639369, PMCID: PMC11179946, DOI: 10.1161/jaha.123.033322.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntihypertensive AgentsBlood PressureCross-Sectional StudiesFemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsMaleMiddle AgedMyocardial InfarctionPlatelet Aggregation InhibitorsPractice Guidelines as TopicRisk AssessmentRisk FactorsSecondary PreventionStrokeUnited KingdomUnited StatesConceptsMyocardial infarctionPrevention scoreSecondary preventionImplementation of preventive therapyNational cohortUK BiobankAntiplatelet therapy useGuideline-directed therapyPrevention profilesBlood pressure controlAdherence to guideline-directed therapyLow-density lipoprotein controlNeighborhood deprivation levelHistory of strokeVascular risk profileStatin useAntiplatelet useTherapy usePreventive therapyComparison to participantsPrevention criteriaCross-sectional analysisBlood pressurePatientsPressure control
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 statusSymptomsVariation in Risk‐Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement
Chuzi S, Lindenauer P, Faridi K, Priya A, Pekow P, D'Aunno T, Mazor K, Stefan M, Spatz E, Gilstrap L, Werner R, Lagu T. Variation in Risk‐Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement. Journal Of The American Heart Association 2023, 12: e029758. PMID: 37345796, PMCID: PMC10356066, DOI: 10.1161/jaha.122.029758.Peer-Reviewed Original ResearchConceptsAcute admission ratesHeart failureMedicare Shared Savings Program Accountable Care OrganizationsAccountable care organizationsAdmission ratesMost ACOsPrimary care providersPerformance categoriesCare organizationsACO characteristicsHealth care qualityAdmission riskBlack beneficiariesCare providersMedicare feeService beneficiariesConclusions AdmissionCare qualityPatientsAdmissionHospital affiliationACO structureFuture studiesLower proportionFailureAdjustment 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
Association 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 scoresAssessment of Market-Level Information on Quality Using Hospital Care Compare
Oddleifson D, Xu X, Ross J, Spatz E, Desai N. Assessment of Market-Level Information on Quality Using Hospital Care Compare. Journal Of General Internal Medicine 2022, 38: 1581-1583. PMID: 36443632, PMCID: PMC10160280, DOI: 10.1007/s11606-022-07965-9.Peer-Reviewed Original Research2022 ACC/AHA/HFSA Guideline for the Management of Heart Failure
Heidenreich P, Bozkurt B, Aguilar D, Allen L, Byun J, Colvin M, Deswal A, Drazner M, Dunlay S, Evers L, Fang J, Fedson S, Fonarow G, Hayek S, Hernandez A, Khazanie P, Kittleson M, Lee C, Link M, Milano C, Nnacheta L, Sandhu A, Stevenson L, Vardeny O, Vest A, Yancy C, Beckman J, O'Gara P, Al-Khatib S, Armbruster A, Birtcher K, Cigarroa J, de las Fuentes L, Deswal A, Dixon D, Fleisher L, Gentile F, Goldberger Z, Gorenek B, Haynes N, Hernandez A, Hlatky M, Joglar J, Jones W, Marine J, Mark D, Mukherjee D, Palaniappan L, Piano M, Rab T, Spatz E, Tamis-Holland J, Wijeysundera D, Woo Y. 2022 ACC/AHA/HFSA Guideline for the Management of Heart Failure. Journal Of Cardiac Failure 2022, 28: e1-e167. PMID: 35378257, DOI: 10.1016/j.cardfail.2022.02.010.Peer-Reviewed Original ResearchConceptsACCF/AHA guidelinesHeart failure guidelinesHeart failureAHA guidelinesAmerican Heart Association/American CollegeRelevant clinical trialsQuality of careComprehensive literature searchEvidence-based approachCardiology guidelinesCochrane CollaborationClinical trialsLeading causeFocused updateAmerican CollegeLiterature searchPatientsHealthcare ResearchPatient interestHuman subjectsRelevant databasesNew recommendationsCertain treatmentsGuidelinesContemporary evidence
2019
Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states
Roy B, Riley C, Herrin J, Spatz E, Hamar B, Kell KP, Rula EY, Krumholz H. Associations between community well-being and hospitalisation rates: results from a cross-sectional study within six US states. BMJ Open 2019, 9: e030017. PMID: 31780588, PMCID: PMC6886944, DOI: 10.1136/bmjopen-2019-030017.Peer-Reviewed Original ResearchConceptsHospitalisation ratesZip codesPrimary care physician densityCross-sectional study SETTINGCancer-related admissionsRespiratory-related admissionsCross-sectional studyQuality of lifeRace/ethnicityCause hospitalisationSecondary outcomesPrimary outcomeHighest quintileUnnecessary hospitalisationAdmission ratesSD increaseHospitalisationLife benefitsPhysician densityStudy settingMain independent variableBeing IndexHospital bedsAdmissionGallup-Sharecare WellIdeal cardiovascular health and resting heart rate in the Multi-Ethnic Study of Atherosclerosis
Osibogun O, Ogunmoroti O, Spatz ES, Fashanu OE, Michos ED. Ideal cardiovascular health and resting heart rate in the Multi-Ethnic Study of Atherosclerosis. Preventive Medicine 2019, 130: 105890. PMID: 31715219, PMCID: PMC6930349, DOI: 10.1016/j.ypmed.2019.105890.Peer-Reviewed Original ResearchConceptsIdeal cardiovascular healthFavorable cardiovascular healthOptimal cardiovascular healthSimple 7 (LS7) metricsCardiovascular healthRace/ethnicityMulti-Ethnic StudyElevated RHRHeart rateLife's Simple 7 (LS7) metricsIncreased cardiovascular disease riskAtrioventricular nodal blockersCardiovascular disease riskCross-sectional analysisClinical CVDLS7 metricsCVH scoreHigher RHRAtherosclerosis participantsMean ageRisk factorsOdds ratioStratified analysisLower oddsMultinomial logistic regressionFinancial barriers in accessing medical care for peripheral artery disease are associated with delay of presentation and adverse health status outcomes in the United States
Jelani QU, Jhamnani S, Spatz ES, Spertus J, Smolderen KG, Wang J, Desai NR, Jones P, Gosch K, Shah S, Attaran R, Mena-Hurtado C. Financial barriers in accessing medical care for peripheral artery disease are associated with delay of presentation and adverse health status outcomes in the United States. Vascular Medicine 2019, 25: 13-24. PMID: 31603393, DOI: 10.1177/1358863x19872542.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleHealth Care CostsHealth Services AccessibilityHealth Status DisparitiesHealthcare DisparitiesHumansInsurance, HealthMaleMedically UninsuredMiddle AgedPatient Reported Outcome MeasuresPeripheral Arterial DiseaseProspective StudiesQuality of LifeRisk FactorsTime FactorsTime-to-TreatmentUnited StatesConceptsPeripheral artery diseasePeripheral Artery QuestionnaireHealth status outcomesHealth statusArtery diseaseStatus outcomesFinancial barriersGeneral health-related qualityDisease-specific health statusPatient-reported health statusDelay of presentationPatient-reported difficultyVascular specialty clinicsPeripheral arterial diseaseEuroQol-5 DimensionsHealth-related qualityPoor health statusUnited States patientsMulticenter registryMultivariable adjustmentPAD symptomsArterial diseaseTreatment patternsUS patientsLate presentationAssociation 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 scoreDisparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT
Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, Spatz ES. Disparities in Socioeconomic Context and Association With Blood Pressure Control and Cardiovascular Outcomes in ALLHAT. Journal Of The American Heart Association 2019, 8: e012277. PMID: 31362591, PMCID: PMC6761647, DOI: 10.1161/jaha.119.012277.Peer-Reviewed Original ResearchConceptsBlood pressure controlLow-income sitesCardiovascular outcomesPressure controlALLHAT participantsPoor blood pressure controlEnd-stage renal diseaseHospitalization/mortalityAdverse cardiovascular eventsCardiovascular risk factorsWorse cardiovascular outcomesHigh blood pressureStandardized treatment protocolRandomized clinical trialsBackground Observational studiesLow socioeconomic statusHighest income quintileAngina hospitalizationCardiovascular eventsCause mortalityCoronary revascularizationClinical characteristicsBlood pressureRenal diseaseClinical outcomesPersistent geographic variations in availability and quality of nursing home care in the United States: 1996 to 2016
Wang Y, Zhang Q, Spatz ES, Gao Y, Eckenrode S, Johnson F, Ho SY, Hu S, Xing C, Krumholz HM. Persistent geographic variations in availability and quality of nursing home care in the United States: 1996 to 2016. BMC Geriatrics 2019, 19: 103. PMID: 30975076, PMCID: PMC6460800, DOI: 10.1186/s12877-019-1117-z.Peer-Reviewed Original ResearchDo pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study
Riley C, Roy B, Herrin J, Spatz E, Silvestri MT, Arora A, Kell KP, Rula EY, Krumholz HM. Do pregnant women living in higher well-being populations in the USA experience lower risk of preterm delivery? A cross-sectional study. BMJ Open 2019, 9: e024143. PMID: 31048427, PMCID: PMC6501974, DOI: 10.1136/bmjopen-2018-024143.Peer-Reviewed Original ResearchConceptsPreterm birthCross-sectional studyIndividual risk factorsPreterm deliveryRisk factorsPregnant womenLower riskMaternal risk factorsPrimary outcome measurePrimary independent variableGestational ageMaternal riskOutcome measuresUS birthsHealth StatisticsBirth dataBeing IndexWomenBirthGallup-Sharecare WellLower ratesQuintileRiskDeliveryPopulationTrends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care
Desai NR, Udell JA, Wang Y, Spatz ES, Dharmarajan K, Ahmad T, Julien HM, Annapureddy A, Goyal A, de Lemos JA, Masoudi FA, Bhatt DL, Minges KE, Krumholz HM, Curtis JP. Trends in Performance and Opportunities for Improvement on a Composite Measure of Acute Myocardial Infarction Care. Circulation Cardiovascular Quality And Outcomes 2019, 12: e004983. PMID: 30871375, DOI: 10.1161/circoutcomes.118.004983.Peer-Reviewed Original ResearchMeSH KeywordsAgedCardiology Service, HospitalFemaleGuideline AdherenceHealthcare DisparitiesHumansMaleMiddle AgedMyocardial InfarctionOutcome and Process Assessment, Health CarePractice Guidelines as TopicQuality ImprovementQuality Indicators, Health CareRacial GroupsRegistriesSex FactorsSocioeconomic FactorsTreatment OutcomeUnited StatesConceptsProportion of patientsAcute myocardial infarctionDefect-free careHispanic patientsAMI careOlder patientsCare measuresNational Cardiovascular Data Registry Acute Coronary TreatmentIntervention Outcomes Network RegistryAcute myocardial infarction careGuideline-recommended pharmacotherapyMedicaid insurance coverageSociodemographic groupsMyocardial infarction careSafety-net statusGreatest absolute improvementComposite measureQuality of careHospital-level performanceCessation counselingEvidence-based processReperfusion therapyCardiac rehabilitationCoronary TreatmentVentricular function
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 ResearchVariation in the Use of Warfarin and Direct Oral Anticoagulants in Atrial Fibrillation and Associated Cost Implications
Rodwin BA, Salami JA, Spatz ES, Valero-Elizondo J, Virani SS, Blankstein R, Blaha MJ, Nasir K, Desai NR. Variation in the Use of Warfarin and Direct Oral Anticoagulants in Atrial Fibrillation and Associated Cost Implications. The American Journal Of Medicine 2018, 132: 61-70.e1. PMID: 30290193, DOI: 10.1016/j.amjmed.2018.09.026.Peer-Reviewed Original ResearchConceptsDirect oral anticoagulantsUse of DOACsAtrial fibrillationOral anticoagulantsDiseases Ninth Edition (ICD-9) codesPocket costsProportion of patientsUse of warfarinNinth Edition codesMedical Expenditure Panel SurveyPrescription drug useTotal drug expendituresPrescription drug spendingWarfarin useAnticoagulant useNationwide cohortClinical factorsMedication useEdition codesStudy populationInternational ClassificationDrug useFibrillationClinical groupsAnticoagulantsAdmission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates
Benchetrit L, Zimmerman C, Bao H, Dharmarajan K, Altaf F, Herrin J, Lin Z, Krumholz HM, Drye EE, Lipska KJ, Spatz ES. Admission diagnoses among patients with heart failure: Variation by ACO performance on a measure of risk-standardized acute admission rates. American Heart Journal 2018, 207: 19-26. PMID: 30404047, DOI: 10.1016/j.ahj.2018.09.006.Peer-Reviewed Original ResearchMeSH KeywordsAccountable Care OrganizationsAgedAlgorithmsAnalysis of VarianceCardiovascular DiseasesComorbidityFemaleHeart FailureHospitalizationHumansInternational Classification of DiseasesMaleMedicare Part AMedicare Part BPatient AdmissionPatient DischargePatient-Centered CareSex DistributionTime FactorsUnited StatesConceptsHeart failureAccountable care organizationsMean admission rateAdmission ratesAdmission typeAcute admission ratesNoncardiovascular conditionsAdmission diagnosisCause admission ratesMedicare Shared Savings Program Accountable Care OrganizationsRate of hospitalizationPrincipal discharge diagnosisProportion of admissionsType of admissionNoncardiovascular causesHF admissionsHF patientsPerson yearsDischarge diagnosisPatient populationPatientsAdmissionKey quality metricDiagnosisSubstantial proportionIs self‐rated health associated with ideal cardiovascular health? The Multi‐Ethnic Study of Atherosclerosis
Osibogun O, Ogunmoroti O, Spatz ES, Burke GL, Michos ED. Is self‐rated health associated with ideal cardiovascular health? The Multi‐Ethnic Study of Atherosclerosis. Clinical Cardiology 2018, 41: 1154-1163. PMID: 29896874, PMCID: PMC6173615, DOI: 10.1002/clc.22995.Peer-Reviewed Original ResearchConceptsIdeal cardiovascular healthSelf-rated healthFavorable self-rated healthOptimal cardiovascular healthSimple 7 (LS7) metricsRace/ethnicityBetter cardiovascular healthCardiovascular healthMulti-Ethnic StudyLife's Simple 7 (LS7) metricsMorbidity/mortalityHealth-promoting behaviorsCross-sectional analysisLS7 metricsCVH scoreAdjusted ORsMean ageSRH statusChronic diseasesMultinomial logistic regressionHealth statusAge groupsLogistic regressionTotal scoreMarital status