2020
High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV
McGinnis KA, Justice AC, Bailin S, Wellons M, Freiberg M, Koethe JR. High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV. Pharmacoepidemiology And Drug Safety 2020, 29: 1432-1439. PMID: 33006179, PMCID: PMC7810212, DOI: 10.1002/pds.5111.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationElectronic medical recordsChart reviewVeterans Aging Cohort Study Biomarker CohortElectronic medical record dataPhysician chart reviewHIV-negative participantsIncident diabetes mellitusICD-9 codesMedical record dataIndication of diabetesPhysician adjudicationIncident diabetesDiabetes mellitusHIV infectionBiomarker cohortHIV statusDiabetes prevalenceMedical recordsMedication recordsLaboratory valuesEpidemiologic studiesDiabetes diagnosisDiagnostic criteriaDiabetesT Lymphocyte Subsets Associated With Prevalent Diabetes in Veterans With and Without Human Immunodeficiency Virus
Bailin SS, McGinnis KA, McDonnell WJ, So-Armah K, Wellons M, Tracy RP, Doyle MF, Mallal S, Justice AC, Freiberg MS, Landay AL, Wanjalla C, Koethe JR. T Lymphocyte Subsets Associated With Prevalent Diabetes in Veterans With and Without Human Immunodeficiency Virus. The Journal Of Infectious Diseases 2020, 222: 252-262. PMID: 32052044, PMCID: PMC7323499, DOI: 10.1093/infdis/jiaa069.Peer-Reviewed Original ResearchConceptsT cell subsetsT cellsMemory CD4Prevalent diabetesMemory T cell expansionVeterans Aging Cohort StudyMultivariable logistic regression modelHuman immunodeficiency virus (HIV) populationPrevalent diabetes casesPrevalent diabetes mellitusChronic immune activationHIV-negative individualsHIV-negative participantsT lymphocyte subsetsPrevalence of diabetesTraditional risk factorsAging Cohort StudyHuman immunodeficiency virusT cell expansionLogistic regression modelsCytomegalovirus serostatusLymphocyte subsetsCohort studyDiabetes mellitusHIV status
2017
Risk of End‐Stage Renal Disease in HIV‐Positive Potential Live Kidney Donors
Muzaale AD, Althoff KN, Sperati CJ, Abraham AG, Kucirka LM, Massie AB, Kitahata MM, Horberg MA, Justice AC, Fischer MJ, Silverberg MJ, Butt AA, Boswell SL, Rachlis AR, Mayor AM, Gill MJ, Eron JJ, Napravnik S, Drozd DR, Martin JN, Bosch RJ, Durand CM, Locke JE, Moore RD, Lucas GM, Segev DL. Risk of End‐Stage Renal Disease in HIV‐Positive Potential Live Kidney Donors. American Journal Of Transplantation 2017, 17: 1823-1832. PMID: 28497525, PMCID: PMC5489376, DOI: 10.1111/ajt.14235.Peer-Reviewed Original ResearchMeSH KeywordsAdultCase-Control StudiesFemaleFollow-Up StudiesGlomerular Filtration RateGraft RejectionGraft SurvivalHIV InfectionsHIV SeropositivityHIV-1HumansIncidenceKidney Failure, ChronicKidney Function TestsKidney TransplantationLiving DonorsMaleMiddle AgedNephrectomyNorth AmericaPrognosisRisk FactorsViral LoadConceptsEnd-stage renal diseaseIncidence of ESRDHIV-positive individualsLive kidney donorsKidney donorsRenal diseaseMultivariable Cox proportional hazards regressionCox proportional hazards regressionPotential live kidney donorsHIV-negative peersHIV-negative participantsHIV-positive participantsProportional hazards regressionCopies/mLKidney donor candidatesCumulative incidence estimatesCohort CollaborationCumulative incidenceHIV infectionViral loadHazards regressionNational HealthPositive individualsIncidence estimatesHealth characteristics