2016
Fracture Prediction With Modified-FRAX in Older HIV-Infected and Uninfected Men
Yin MT, Shiau S, Rimland D, Gibert CL, Bedimo RJ, Rodriguez-Barradas MC, Harwood K, Aschheim J, Justice AC, Womack JA. Fracture Prediction With Modified-FRAX in Older HIV-Infected and Uninfected Men. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2016, 72: 513-520. PMID: 27003493, PMCID: PMC4942335, DOI: 10.1097/qai.0000000000000998.Peer-Reviewed Original ResearchConceptsUninfected menOlder HIVSecondary osteoporosisFRAX calculationVeterans Aging Cohort Study Virtual CohortFracture Risk CalculatorIncident fragility fracturesMajor osteoporotic fractureIncident fracturesPharmacologic therapyFragility fracturesHip fractureHIV statusFracture preventionOsteoporotic fracturesRisk calculatorFracture ratesBone densityCase findingFRAXHIVVirtual cohortOsteoporosisComplete dataMen
2015
Adherence and HIV RNA Suppression in the Current Era of Highly Active Antiretroviral Therapy
Viswanathan S, Justice AC, Alexander GC, Brown TT, Gandhi NR, McNicholl IR, Rimland D, Rodriguez-Barradas MC, Jacobson LP. Adherence and HIV RNA Suppression in the Current Era of Highly Active Antiretroviral Therapy. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2015, 69: 493-498. PMID: 25886923, PMCID: PMC4482798, DOI: 10.1097/qai.0000000000000643.Peer-Reviewed Original ResearchConceptsHIV RNA suppressionOdds of suppressionActive antiretroviral therapyRNA suppressionHAART regimenAntiretroviral therapyVeterans Aging Cohort Study Virtual CohortHighly Active Antiretroviral TherapyFirst HAART regimenProtease inhibitor usersRepeated-measures logistic regressionVeterans' Affairs pharmacyViral load suppressionHAART usersNew HAARTRegimen typeInhibitor usersHIV infectionNonnucleoside reverseLow adherenceAdherence levelsPerfect adherenceVirtual cohortLogistic regressionDuration of timeHIV Infection, Cardiovascular Disease Risk Factor Profile, and Risk for Acute Myocardial Infarction
Paisible AL, Chang CC, So-Armah KA, Butt AA, Leaf DA, Budoff M, Rimland D, Bedimo R, Goetz MB, Rodriguez-Barradas MC, Crane HM, Gibert CL, Brown ST, Tindle HA, Warner AL, Alcorn C, Skanderson M, Justice AC, Freiberg MS. HIV Infection, Cardiovascular Disease Risk Factor Profile, and Risk for Acute Myocardial Infarction. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2015, 68: 209-216. PMID: 25588033, PMCID: PMC4441201, DOI: 10.1097/qai.0000000000000419.Peer-Reviewed Original ResearchConceptsCardiovascular disease risk factorsMajor cardiovascular disease risk factorsAcute myocardial infarctionAMI ratesAMI riskMyocardial infarctionVeterans Aging Cohort Study Virtual CohortCardiovascular disease risk factor profileElevated cardiovascular disease risk factorsTraditional cardiovascular disease risk factorsCardiac healthIncident acute myocardial infarctionRisk of AMIRisk factor profileDisease risk factorsFirst clinical encounterLast followPrevalent CVDHIV infectionRisk factorsFactor profileExclusive profilesVirtual cohortClinical encountersSubstance use
2013
Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients
Gandhi NR, Tate JP, Rodriguez‐Barradas M, Rimland D, Goetz MB, Gibert C, Brown ST, Mattocks K, Justice AC. Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients. Pharmacoepidemiology And Drug Safety 2013, 22: 1019-1025. PMID: 23836591, PMCID: PMC3831617, DOI: 10.1002/pds.3476.Peer-Reviewed Original ResearchConceptsART-naïve patientsViral load thresholdMedical record reviewAntiretroviral treatmentMedical recordsHIV cohortObservational cohortRecord reviewVeterans Aging Cohort Study Virtual CohortVirtual cohortPrevious antiretroviral treatmentLaboratory dataPatients' medical recordsPositive predictive value 87Cohort entryAdverse eventsHIV outcomesRandomized trialsRetrospective studyAdverse reactionsTime of entryCopies/ART treatmentTreatment statusTreatment history
2011
Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source
McGinnis KA, Brandt CA, Skanderson M, Justice AC, Shahrir S, Butt AA, Brown ST, Freiberg MS, Gibert CL, Goetz MB, Kim JW, Pisani MA, Rimland D, Rodriguez-Barradas MC, Sico JJ, Tindle HA, Crothers K. Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source. Nicotine & Tobacco Research 2011, 13: 1233-1239. PMID: 21911825, PMCID: PMC3223583, DOI: 10.1093/ntr/ntr206.Peer-Reviewed Original ResearchConceptsSmoking statusHealth factorsSmoking dataKappa statisticsSmoking variablesVeterans Aging Cohort StudyAging Cohort StudySelf-reported smoking dataCohort studyCurrent smokersSmoking interventionsVirtual cohortElectronic data sourcesEMR dataFuture studiesStatusParticipantsFactorsHIVSmokersSmokingStudy surveyCohort
2010
HIV Infection and Risk for Incident Pulmonary Diseases in the Combination Antiretroviral Therapy Era
Crothers K, Huang L, Goulet JL, Goetz MB, Brown ST, Rodriguez-Barradas MC, Oursler KK, Rimland D, Gibert CL, Butt AA, Justice AC. HIV Infection and Risk for Incident Pulmonary Diseases in the Combination Antiretroviral Therapy Era. American Journal Of Respiratory And Critical Care Medicine 2010, 183: 388-395. PMID: 20851926, PMCID: PMC3266024, DOI: 10.1164/rccm.201006-0836oc.Peer-Reviewed Original ResearchConceptsChronic obstructive pulmonary diseaseObstructive pulmonary diseaseCombination antiretroviral therapy eraAntiretroviral therapy eraPulmonary diseaseTherapy eraPulmonary infectionHIV infectionVeterans Aging Cohort Study Virtual CohortIncident chronic obstructive pulmonary diseaseLower HIV RNA levelsVirtual cohortVeterans Affairs Healthcare SystemAssociation of HIVMost pulmonary diseasesHIV RNA levelsRates of asthmaIncidence rate ratiosSelf-reported smokingLarge Health SurveyPulmonary hypertensionUninfected patientsComorbid diseasesOpportunistic pneumoniaBacterial pneumonia
2009
Comparison of Two VA Laboratory Data Repositories Indicates That Missing Data Vary Despite Originating From the Same Source
McGinnis KA, Skanderson M, Levin FL, Brandt C, Erdos J, Justice AC. Comparison of Two VA Laboratory Data Repositories Indicates That Missing Data Vary Despite Originating From the Same Source. Medical Care 2009, 47: 121-124. PMID: 19106740, PMCID: PMC3032537, DOI: 10.1097/mlr.0b013e31817d69c2.Peer-Reviewed Original ResearchMeSH KeywordsAlanine TransaminaseAspartate AminotransferasesClinical Laboratory Information SystemsCohort StudiesCreatinineGlycated HemoglobinHealth Care CostsHIV SeropositivityHospitals, VeteransHumansLaboratories, HospitalLeukocytesMedical Records Systems, ComputerizedQuality of Health CareReference StandardsRegistriesResearch DesignSystems IntegrationUnited StatesUnited States Department of Veterans AffairsViral LoadConceptsDecision support systemData repositoryInformation systemsElectronic medical information systemsSupport systemMedical information systemsViral loadCase RegistryHealth information systemsHIV RNA viral loadCD4 lymphocyte countRNA viral loadWhite blood countLaboratory dataVA healthcare systemRepositoryPercent of individualsHIV careLymphocyte countBlood countData variesAlanine aminotransferaseFiscal year 2002Aspartate aminotransferaseVirtual cohort
2006
Development and Verification of a “Virtual” Cohort Using the National VA Health Information System
Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S, Justice AC. Development and Verification of a “Virtual” Cohort Using the National VA Health Information System. Medical Care 2006, 44: s25-s30. PMID: 16849965, DOI: 10.1097/01.mlr.0000223670.00890.74.Peer-Reviewed Original ResearchConceptsPositive predictive valueIntegrated electronic medical recordsOutpatient codesPredictive valueCohort of veteransVA administrative dataElectronic medical recordsAdministrative dataMajority of subjectsInpatient codesSimilar HIVHAART eraHIV infectionCase RegistryPharmacy benefit managementPharmacy dataMedical recordsClinical dataLarge cohortConfirmatory laboratoryIndependent clinical dataHIVHealth information systemsVirtual cohortCohort