2024
Development 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
2018
Identifying county characteristics associated with resident well-being: A population based study
Roy B, Riley C, Herrin J, Spatz ES, Arora A, Kell KP, Welsh J, Rula EY, Krumholz HM. Identifying county characteristics associated with resident well-being: A population based study. PLOS ONE 2018, 13: e0196720. PMID: 29791476, PMCID: PMC5965855, DOI: 10.1371/journal.pone.0196720.Peer-Reviewed Original ResearchConceptsCounty-level factorsClinical careCross-sectional studyQuality of lifeBetter health outcomesMulti-dimensional assessmentHealth outcomesBeing IndexGallup-Sharecare WellUS residentsCareCounty characteristicsSurvey participantsResident wellUS countiesScoresCounty equivalentsAssessmentFactorsCohortDefining 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
Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012
Murugiah K, Wang Y, Desai NR, Spatz ES, Nuti SV, Dreyer RP, Krumholz HM. Trends in Short- and Long-Term Outcomes for Takotsubo Cardiomyopathy Among Medicare Fee-for-Service Beneficiaries, 2007 to 2012. JACC Heart Failure 2015, 4: 197-205. PMID: 26746377, PMCID: PMC5323042, DOI: 10.1016/j.jchf.2015.09.013.Peer-Reviewed Original ResearchConceptsLong-term outcomesReadmission ratesNonwhite patientsHospitalization ratesSecondary diagnosisMedicare feeYears of ageTakotsubo cardiomyopathyWorse outcomesWhite racePatientsService beneficiariesHospitalMortalityTime pointsOutcomesHospitalizationCohortDiagnosisRepresentative dataTakotsuboTTCReadmissionCardiomyopathyYearsInsurance and Prehospital Delay in Patients ≤55 Years With Acute Myocardial Infarction
Chen SI, Wang Y, Dreyer R, Strait KM, Spatz ES, Xu X, Smolderen KG, Desai NR, Lorenze NP, Lichtman JH, Spertus JA, D'Onofrio G, Bueno H, Masoudi FA, Krumholz HM. Insurance and Prehospital Delay in Patients ≤55 Years With Acute Myocardial Infarction. The American Journal Of Cardiology 2015, 116: 1827-1832. PMID: 26541907, PMCID: PMC5323057, DOI: 10.1016/j.amjcard.2015.09.018.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionPrehospital delayInsurance statusMyocardial infarctionSpanish patientsGender differencesHealth care systemUS patientsProspective studyUS cohortUS womenPatientsUniversal insuranceCare systemWomenSignificant gender differencesInfarctionMenInsurance groupsHoursStatusAssociationLarge proportionDifferencesCohort