2024
Internal tremors and vibrations in long COVID: a cross-sectional study
Zhou T, Sawano M, Arun A, Caraballo C, Michelsen T, McAlpine L, Bhattacharjee B, Lu Y, Khera R, Huang C, Warner F, Herrin J, Iwasaki A, Krumholz H. Internal tremors and vibrations in long COVID: a cross-sectional study. The American Journal Of Medicine 2024 PMID: 39069199, DOI: 10.1016/j.amjmed.2024.07.008.Peer-Reviewed Original ResearchNew-onset conditionsInternal tremorLong COVID symptomsCOVID symptomsNon-Hispanic whitesCross-sectional studyQuality of lifeVisual analogue scaleWorse healthHealth statusStudy participantsDemographic characteristicsAnalogue scaleOutcome variablesNeurological conditionsLong COVIDMast cell disordersTreatment experienceHealthComorbiditiesSymptomsMedian agePeopleCell disordersLong COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort
Sawano M, Wu Y, Shah R, Zhou T, Arun A, Khosla P, Kaleem S, Vashist A, Bhattacharjee B, Ding Q, Lu Y, Caraballo C, Warner F, Huang C, Herrin J, Putrino D, Michelsen T, Fisher L, Adinig C, Iwasaki A, Krumholz H. Long COVID Characteristics and Experience: A Descriptive Study from the Yale LISTEN Research Cohort. The American Journal Of Medicine 2024 PMID: 38663793, DOI: 10.1016/j.amjmed.2024.04.015.Peer-Reviewed Original ResearchExperiences of peopleHealth statusLong COVIDLower health statusNew-onset conditionsCommunity support servicesNon-Hispanic whitesArray of healthQuality of lifeVisual analogue scaleMental healthPsychological distressPsychological statusDescriptive studyHealthcare systemMedian scoreSupport servicesResearch cohortSocial isolationDemographic characteristicsAnalogue scaleImpact of long COVIDHealthFinancial stressParticipantsDerivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes
McCoy R, Swarna K, Deng Y, Herrin J, Ross J, Kent D, Borah B, Crown W, Montori V, Umpierrez G, Galindo R, Brito J, Mickelson M, Polley E. Derivation of an Annualized Claims-Based Major Adverse Cardiovascular Event Estimator in Type 2 Diabetes. JACC Advances 2024, 3: 100852. PMID: 38939660, PMCID: PMC11198625, DOI: 10.1016/j.jacadv.2024.100852.Peer-Reviewed Original ResearchType 2 diabetesMedicare fee-for-service planClaims-based prediction modelPopulation risk stratificationRisk of Major Adverse Cardiovascular EventsMajor adverse cardiovascular eventsNon-Hispanic whitesFee-for-service plansStudy cohortClinical trials of cardiovascular diseaseCox proportional hazards modelsProportional hazards modelCare populationHealth systemPrimary preventionMedicare AdvantageParticipant identificationPayer levelPharmacy claimsDecentralized clinical trialsHazards modelCardiovascular diseaseRisk predictionMedicarePatient population
2015
Changing trends in type 2 diabetes mellitus treatment intensification, 2002-2010.
McCoy RG, Zhang Y, Herrin J, Denton BT, Mason JE, Montori VM, Smith SA, Shah ND. Changing trends in type 2 diabetes mellitus treatment intensification, 2002-2010. The American Journal Of Managed Care 2015, 21: e288-96. PMID: 26167776.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, OralAdolescentAdultAge FactorsAgedBlood GlucoseComorbidityDiabetes Mellitus, Type 2Drug Therapy, CombinationFemaleGlycated HemoglobinHumansHypoglycemic AgentsIncretinsInsurance Claim ReviewMaleMetforminMiddle AgedResidence CharacteristicsRetrospective StudiesSex FactorsSocioeconomic FactorsSulfonylurea CompoundsUnited StatesYoung AdultConceptsTreatment intensificationCox proportional hazards regression analysisNational administrative data setProportional hazards regression analysisRetrospective secondary data analysisDiabetes treatment intensificationOptimal diabetes careHazards regression analysisDiabetes-related complicationsAdults 18 yearsTreatment-naïve adultsNon-Hispanic whitesComorbidity burdenMetformin monotherapySulfonylurea useMetformin prescriptionThiazolidinedione useGlycemic controlKaplan-MeierMean ageDiabetes careSignificant confoundersSecondary data analysisAdministrative data setsDiabetes therapy