2022
Statins Utilization in Adults With HIV: The Treatment Gap and Predictors of Statin Initiation
Coburn SB, Lang R, Zhang J, Palella FJ, Horberg MA, Castillo-Mancilla J, Gebo K, Galaviz KI, Gill MJ, Silverberg MJ, Hulgan T, Elion RA, Justice AC, Moore RD, Althoff KN, Research and Design of IeDEA F. Statins Utilization in Adults With HIV: The Treatment Gap and Predictors of Statin Initiation. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2022, 91: 469-478. PMID: 36053091, PMCID: PMC9649872, DOI: 10.1097/qai.0000000000003083.Peer-Reviewed Original ResearchConceptsACC/AHA guidelinesStatin initiationStatin eligibilityAHA guidelinesTreatment gapNorth American AIDS Cohort CollaborationATP III guidelinesCohort CollaborationPrevalence ratiosUS cohortStatin utilizationEligibility criteriaStatinsPoisson regressionConfidence intervalsAnnual proportionHIVPWHEligibilityAppropriate candidatesCalendar yearPredictorsGuidelinesInitiationCohortSARS-CoV-2 Testing and Positivity Among Persons With and Without HIV in 6 US Cohorts
Park LS, McGinnis KA, Gordon KS, Justice AC, Leyden W, Silverberg MJ, Skarbinski J, Jefferson C, Horberg M, Certa J, Napravnik S, Edwards JK, Westreich D, Bastarache L, Gangireddy S, Benning L, D'Souza G, Williams C, Althoff KN. SARS-CoV-2 Testing and Positivity Among Persons With and Without HIV in 6 US Cohorts. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2022, 90: 249-255. PMID: 35195574, PMCID: PMC9203911, DOI: 10.1097/qai.0000000000002943.Peer-Reviewed Original ResearchConceptsSARS-CoV-2SARS-CoV-2 testingHIV statusClinical cohortPositive SARS-CoV-2 testSARS-CoV-2 positivitySARS-CoV-2 testCOVID-19-related outcomesProportion of PWHProportion of patientsSARS-CoV-2 variantsCOVID-19 vaccineLatest therapeutic optionsTherapeutic optionsUS cohortPositivity proportionInterval cohortPWHPWOHCohortHealth systemDiverse cohortHIVPositivityTesting proportions
2021
Discrimination and Calibration of the Veterans Aging Cohort Study Index 2.0 for Predicting Mortality Among People With Human Immunodeficiency Virus in North America
McGinnis KA, Justice AC, Moore RD, Silverberg MJ, Althoff KN, Karris M, Lima VD, Crane HM, Horberg MA, Klein MB, Gange SJ, Gebo KA, Mayor A, Tate JP, Benson C, Bosch R, Kirk G, Marconi V, Colasanti J, Mayer K, Grasso C, Hogg R, Lima V, Montaner J, Sereda P, Salters K, Buchacz K, Li J, Gebo K, Moore R, Moore R, Jacobson J, Horberg M, Silverberg M, Thorne J, Brown T, Tien P, D’Souza G, Smith G, Loutfy M, Gupta M, Klein M, Rabkin C, Kroch A, Burchell A, Betts A, Lindsay J, Nijhawan A, Mayor A, Gill M, Martin J, Li J, Brooks J, Saag M, Mugavero M, Willig J, Bamford L, Karris M, Eron J, Napravnik S, Kitahata M, Crane H, Sterling T, Haas D, Rebeiro P, Turner M, McGinnis K, Justice A, Moore R, Althoff K, Gange S, Kitahata M, Lee J, Saag M, Horberg M, Klein M, McKaig R, Freeman A, Moore R, Althoff K, Freeman A, Kitahata M, Van Rompaey S, Crane H, Morton L, McReynolds J, Lober W, Gange S, Lee J, Hogan B, You B, Humes E, Gerace L, Stewart C, Coburn S. Discrimination and Calibration of the Veterans Aging Cohort Study Index 2.0 for Predicting Mortality Among People With Human Immunodeficiency Virus in North America. Clinical Infectious Diseases 2021, 75: 297-304. PMID: 34609485, PMCID: PMC9410720, DOI: 10.1093/cid/ciab883.Peer-Reviewed Original ResearchConceptsNorth American AIDS Cohort CollaborationVACS Index 2.0National Death IndexHIV-1 RNAHuman immunodeficiency virusCopies/mLRisk of mortalityRace/ethnicityCohort CollaborationNA-ACCORDCause mortalityCD4 countMedian ageDeath IndexImmunodeficiency virusPredicting MortalityMortality ascertainmentMortality rateMortalitySpecific biomarkersPWHDiverse cohortObserved mortalityCohortHIV
2020
The Veterans Aging Cohort Study (VACS) Index Predicts Mortality in a Community-recruited Cohort of People With Human Immunodeficiency Virus (HIV) Who Use Illicit Drugs
Reddon H, Grant C, Nosova E, Fairbairn N, Barrios R, Justice AC, Nolan S, Socias ME, Milloy MJ. The Veterans Aging Cohort Study (VACS) Index Predicts Mortality in a Community-recruited Cohort of People With Human Immunodeficiency Virus (HIV) Who Use Illicit Drugs. Clinical Infectious Diseases 2020, 73: 538-541. PMID: 32857842, PMCID: PMC8496478, DOI: 10.1093/cid/ciaa1263.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusVeterans Aging Cohort Study (VACS) IndexHuman immunodeficiency virus (HIV) disease severityStudy indicesCommunity-recruited cohortIllicit drugsVirus disease severityVACS IndexProspective cohortImmunodeficiency virusClinical biomarkersDisease severityStudy periodCohortMortalityDrugsIndexBiomarkersSeverity
2019
FUNCTIONAL CODING VARIANT IN OPRM1 GENE ASSOCIATED WITH OPIOID USE DISORDER: EVIDENCE FROM GWAS ON LARGE COHORTS
Zhou H, Rentsch C, Cheng Z, Kember R, Nunex Y, Tate J, Dao C, Polimanti R, Justice A, Kranzler H, Gelernter J. FUNCTIONAL CODING VARIANT IN OPRM1 GENE ASSOCIATED WITH OPIOID USE DISORDER: EVIDENCE FROM GWAS ON LARGE COHORTS. European Neuropsychopharmacology 2019, 29: s34-s35. DOI: 10.1016/j.euroneuro.2019.07.070.Peer-Reviewed Original Research
2014
Mortality in Patients with HIV-1 Infection Starting Antiretroviral Therapy in South Africa, Europe, or North America: A Collaborative Analysis of Prospective Studies
Boulle A, Schomaker M, May MT, Hogg RS, Shepherd BE, Monge S, Keiser O, Lampe FC, Giddy J, Ndirangu J, Garone D, Fox M, Ingle SM, Reiss P, Dabis F, Costagliola D, Castagna A, Ehren K, Campbell C, Gill MJ, Saag M, Justice AC, Guest J, Crane HM, Egger M, Sterne JA. Mortality in Patients with HIV-1 Infection Starting Antiretroviral Therapy in South Africa, Europe, or North America: A Collaborative Analysis of Prospective Studies. PLOS Medicine 2014, 11: e1001718. PMID: 25203931, PMCID: PMC4159124, DOI: 10.1371/journal.pmed.1001718.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyHigh early mortalityEarly mortalityMortality rateAdjusted mortality rate ratioCumulative mortalityDeath registry linkageHIV-1 infectionMortality rate ratiosNorth American cohortSouth African cohortAdvanced diseaseCD4 countRegistry linkageProspective studyVital statusHIV treatmentEuropean cohortPoor ascertainmentHIV-1African cohortAmerican cohortPatientsMortalityCohort
2012
Heterogeneity in outcomes of treated HIV-positive patients in Europe and North America: relation with patient and cohort characteristics
May MT, Hogg RS, Justice AC, Shepherd BE, Costagliola D, Ledergerber B, Thiébaut R, Gill MJ, Kirk O, van Sighem A, Saag MS, Navarro G, Sobrino-Vegas P, Lampe F, Ingle S, Guest JL, Crane HM, Monforte A, Vehreschild JJ, Sterne J, Collaboration T. Heterogeneity in outcomes of treated HIV-positive patients in Europe and North America: relation with patient and cohort characteristics. International Journal Of Epidemiology 2012, 41: 1807-1820. PMID: 23148105, PMCID: PMC3535877, DOI: 10.1093/ije/dys164.Peer-Reviewed Original ResearchConceptsCompleteness of ascertainmentHIV-positive patientsAntiretroviral therapyMortality rateAdult HIV-positive patientsPrevious AIDS diagnosisRates of AIDSAdjusted mortality rateMortality rate ratiosHigher mortality riskHigh mortality rateDiverse patient cohortCohort heterogeneityCohort CollaborationPatient characteristicsHIV treatmentAIDS diagnosisPatient cohortAdjusted ratesClinical careMortality riskCohort characteristicsPatientsDeath ascertainmentCohort
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
CD4 count at presentation for HIV care in the United States and Canada: Are those over 50 years more likely to have a delayed presentation?
Althoff KN, Gebo KA, Gange SJ, Klein MB, Brooks JT, Hogg RS, Bosch RJ, Horberg MA, Saag MS, Kitahata MM, Eron JJ, Napravnik S, Rourke SB, Gill MJ, Rodriguez B, Sterling TR, Deeks SG, Martin JN, Jacobson LP, Kirk GD, Collier AC, Benson CA, Silverberg MJ, Goedert JJ, McKaig RG, Thorne J, Rachlis A, Moore RD, Justice AC, for the North American AIDS Cohort Collaboration on Research and Design. CD4 count at presentation for HIV care in the United States and Canada: Are those over 50 years more likely to have a delayed presentation? AIDS Research And Therapy 2010, 7: 45. PMID: 21159161, PMCID: PMC3022663, DOI: 10.1186/1742-6405-7-45.Peer-Reviewed Original ResearchCD4 countHIV careRace/ethnicityFirst presentationNorth American AIDS Cohort CollaborationHIV transmission risk groupAge groupsAdvanced HIV diseaseHIV testing effortsLow CD4 countTransmission risk groupsMean CD4 countMedian CD4 countHIV transmission riskCohort CollaborationHIV diseaseInitial presentationRisk groupsClinical cohortProportion of individualsTransmission riskOlder individualsYoung adultsCohortYoung individualsHepatitis C and the Risk of Kidney Disease and Mortality in Veterans With HIV
Fischer MJ, Wyatt CM, Gordon K, Gibert CL, Brown ST, Rimland D, Rodriguez-Barradas MC, Justice AC, Parikh CR. Hepatitis C and the Risk of Kidney Disease and Mortality in Veterans With HIV. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2010, 53: 222-226. PMID: 20104121, PMCID: PMC3032564, DOI: 10.1097/qai.0b013e3181b980d4.Peer-Reviewed Original ResearchConceptsChronic kidney diseaseHepatitis C virusKidney diseaseMortality rateGlomerular filtration rateAdjusted mortality rateLevels of eGFRVeterans Healthcare AdministrationHepatitis CCoinfected subjectsC virusFiltration rateNational cohortIndependent associationHIVHigh mortalityPoisson regressionMortalityGraduated increaseVeteransCohortHigh rateEGFRDiseaseHealthcare administration
2008
Drug Toxicity, HIV Progression, or Comorbidity of Aging: Does Tipranavir Use Increase the Risk of Intracranial Hemorrhage?
Justice AC, Zingmond DS, Gordon KS, Fultz SL, Goulet JL, King JT, Bravata DM, Valdez H, Kraft M, Mattocks KM, Team T. Drug Toxicity, HIV Progression, or Comorbidity of Aging: Does Tipranavir Use Increase the Risk of Intracranial Hemorrhage? Clinical Infectious Diseases 2008, 47: 1226-1230. PMID: 18831696, DOI: 10.1086/592302.Peer-Reviewed Original Research
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
2005
Estimating the proportion of patients infected with HIV who will die of comorbid diseases
Braithwaite RS, Justice AC, Chang CC, Fusco JS, Raffanti SR, Wong JB, Roberts MS. Estimating the proportion of patients infected with HIV who will die of comorbid diseases. The American Journal Of Medicine 2005, 118: 890-898. PMID: 16084183, DOI: 10.1016/j.amjmed.2004.12.034.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusComorbid diseasesCombination therapyNaïve human immunodeficiency virusNon-HIV mortalityEffective antiretroviral therapyCells/mm3Proportion of patientsSeparate patient cohortsCopies/mLProportion of deathsLikelihood of deathAntiretroviral therapyObservational cohortHIV infectionTreatment failureViral loadImmunodeficiency virusMean agePatient cohortPatientsSubsequent deathPhenotypic resistanceTherapyCohort
2004
Predictors of trend in CD4-positive T-cell count and mortality among HIV-1-infected individuals with virological failure to all three antiretroviral-drug classes
Ledergerber B, Lundgren JD, Walker AS, Sabin C, Justice A, Reiss P, Mussini C, Wit F, d'Arminio Monforte A, Weber R, Fusco G, Staszewski S, Law M, Hogg R, Lampe F, Gill MJ, Castelli F, Phillips AN. Predictors of trend in CD4-positive T-cell count and mortality among HIV-1-infected individuals with virological failure to all three antiretroviral-drug classes. The Lancet 2004, 364: 51-62. PMID: 15234856, DOI: 10.1016/s0140-6736(04)16589-6.Peer-Reviewed Original ResearchConceptsProportional hazards modelVirological failureCD4 cell count slopesHIV-1 RNA concentrationsCox proportional hazards modelCD4 cell countPredictors of deathAntiretroviral therapyHIV cohortDual therapyClinical outcomesViral loadHIV replicationDrug classesTreatment strategiesTreatment informationPatientsDemographic characteristicsRNA concentrationRegression analysisTherapyFailureCohort
2003
Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data.
McGinnis KA, Fine MJ, Sharma RK, Skanderson M, Wagner JH, Rodriguez-Barradas MC, Rabeneck L, Justice AC. Understanding racial disparities in HIV using data from the veterans aging cohort 3-site study and VA administrative data. American Journal Of Public Health 2003, 93: 1728-33. PMID: 14534229, PMCID: PMC1448041, DOI: 10.2105/ajph.93.10.1728.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAntiretroviral Therapy, Highly ActiveBlack or African AmericanCohort StudiesDisease ManagementFemaleHispanic or LatinoHIV SeropositivityHumansMaleMiddle AgedPatient Acceptance of Health CarePatient ComplianceProportional Hazards ModelsSocioeconomic FactorsSurvival AnalysisUnited StatesUnited States Department of Veterans AffairsVeteransWhite PeopleConceptsWhite veteransClinical managementMinority veteransHealth statusVeterans Aging CohortSeverity of illnessVA administrative dataRace-associated differencesHigh mortality ratePatients' health statusNational administrative dataAdministrative dataPossible etiologiesUS veteransPoor survivalMortality rateAging CohortHIVPoor healthRacial disparitiesVeteransSignificant differencesSurvivalCohortAdherence