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 statusSymptomsAdjustment 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 scores
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 hypertensionCardiovascular Outcomes in the Wake of Financial Uncertainty
Spatz ES, Herrin J. Cardiovascular Outcomes in the Wake of Financial Uncertainty. Circulation 2019, 139: 860-862. PMID: 30742534, DOI: 10.1161/circulationaha.118.038375.Commentaries, Editorials and LettersSevere 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
Defining Multiple Chronic Conditions for Quality Measurement
Drye EE, Altaf FK, Lipska KJ, Spatz ES, Montague JA, Bao H, Parzynski CS, Ross JS, Bernheim SM, Krumholz HM, Lin Z. Defining Multiple Chronic Conditions for Quality Measurement. Medical Care 2018, 56: 193-201. PMID: 29271820, DOI: 10.1097/mlr.0000000000000853.Peer-Reviewed Original ResearchConceptsMultiple chronic conditionsChronic conditionsMedicare feeService beneficiariesMedicare Chronic Conditions WarehouseMCC cohortBroad cohortChronic Conditions WarehouseRisk-standardized ratesNational quality measuresUnplanned admissionsFinal cohortTotal admissionsAdmission riskAccountable care organizationsAdmission ratesOutcome measuresAdmissionCohortCohort conditionCare organizationsPatientsStakeholder inputNarrow cohortBeneficiaries
2015
Geriatric Conditions in Patients Undergoing Defibrillator Implantation for Prevention of Sudden Cardiac Death
Green AR, Leff B, Wang Y, Spatz ES, Masoudi FA, Peterson PN, Daugherty SL, Matlock DD. Geriatric Conditions in Patients Undergoing Defibrillator Implantation for Prevention of Sudden Cardiac Death. Circulation Cardiovascular Quality And Outcomes 2015, 9: 23-30. PMID: 26715650, PMCID: PMC4759659, DOI: 10.1161/circoutcomes.115.002053.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overCohort StudiesDeath, Sudden, CardiacDefibrillators, ImplantableDementiaDiabetes MellitusFemaleFrail ElderlyHeart FailureHumansLiver CirrhosisMaleNeoplasmsPrimary PreventionPulmonary Disease, Chronic ObstructiveRegistriesRenal Insufficiency, ChronicStrokeUnited StatesConceptsPrimary prevention ICDsPrevalence of frailtyICD implantationHeart failureGeriatric conditionsChronic conditionsMedicare patientsNational Cardiovascular Data Registry ICD RegistryPrimary prevention ICD implantationChronic obstructive pulmonary diseaseOne-year mortalityObstructive pulmonary diseaseCommon chronic conditionsSudden cardiac deathImpact of multimorbidityClaims-based algorithmLogistic regression modelsFrail patientsDefibrillator implantationOverall cohortPatient characteristicsCardiac deathDiabetes mellitusICD RegistryPulmonary diseaseQingdao 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
2014
Effect of Low Perceived Social Support on Health Outcomes in Young Patients With Acute Myocardial Infarction: Results From the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) Study
Bucholz EM, Strait KM, Dreyer RP, Geda M, Spatz ES, Bueno H, Lichtman JH, D'Onofrio G, Spertus JA, Krumholz HM. Effect of Low Perceived Social Support on Health Outcomes in Young Patients With Acute Myocardial Infarction: Results From the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO) Study. Journal Of The American Heart Association 2014, 3: e001252. PMID: 25271209, PMCID: PMC4323798, DOI: 10.1161/jaha.114.001252.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionYoung AMI Patients (VIRGO) studyLow social supportQuality of lifeDepressive symptomsHealth statusYounger patientsMyocardial infarctionHealth outcomesENRICHD Social Support InventoryLow Perceived Social SupportSocial supportDepressive symptoms 12 monthsBaseline health statusLower functional statusWorse physical functioningWorse health statusPatient studiesSymptoms 12 monthsLower mental functioningMore depressive symptomsMultivariable adjustmentSocial Support InventoryAMI patientsFunctional status