2021
Polypharmacy-associated risk of hospitalisation among people ageing with and without HIV: an observational study
Justice AC, Gordon KS, Romero J, Edelman EJ, Garcia BJ, Jones P, Khoo S, Re V, Rentsch CT, Tate JP, Tseng A, Womack J, Jacobson D. Polypharmacy-associated risk of hospitalisation among people ageing with and without HIV: an observational study. The Lancet Healthy Longevity 2021, 2: e639-e650. PMID: 34870254, PMCID: PMC8639138, DOI: 10.1016/s2666-7568(21)00206-3.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyMedication countDrug-drug interactionsAntiretroviral therapyObservational studyPhysiological frailtyVeterans Affairs Health Services ResearchMore drug-drug interactionsRisk of hospitalisationRisk of admissionAging Cohort StudyHIV-1 RNANon-ART medicationsAdverse health outcomesNational InstituteHealth services researchAdditional medicationObserved medicationActive medicationCause mortalityMore medicationsCohort studyPrescription fillsHIV statusPrescription medicationsMortality Among Persons Entering HIV Care Compared With the General U.S. Population : An Observational Study.
Edwards JK, Cole SR, Breger TL, Rudolph JE, Filiatreau LM, Buchacz K, Humes E, Rebeiro PF, D'Souza G, Gill MJ, Silverberg MJ, Mathews WC, Horberg MA, Thorne J, Hall HI, Justice A, Marconi VC, Lima VD, Bosch RJ, Sterling TR, Althoff KN, Moore RD, Saag M, Eron JJ. Mortality Among Persons Entering HIV Care Compared With the General U.S. Population : An Observational Study. Annals Of Internal Medicine 2021, 174: 1197-1206. PMID: 34224262, PMCID: PMC8453103, DOI: 10.7326/m21-0065.Peer-Reviewed Original ResearchConceptsGeneral U.S. populationHIV careU.S. populationNorth American AIDS Cohort CollaborationHIV clinical careObservational cohort studyTreatment of adultsRace/ethnicityCohort CollaborationCause mortalityCohort studyHIV infectionModifiable factorsComparable personsObservational studyClinical careHigh riskGeneral populationSociodemographic factorsHealth StatisticsMortalityHIVKaplan-Meier estimatorCareFive yearsPharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans
Gerlovin H, Posner DC, Ho YL, Rentsch CT, Tate JP, King JT, Kurgansky KE, Danciu I, Costa L, Linares FA, Goethert ID, Jacobson DA, Freiberg MS, Begoli E, Muralidhar S, Ramoni RB, Tourassi G, Gaziano JM, Justice AC, Gagnon DR, Cho K. Pharmacoepidemiology, Machine Learning, and COVID-19: An Intent-to-Treat Analysis of Hydroxychloroquine, With or Without Azithromycin, and COVID-19 Outcomes Among Hospitalized US Veterans. American Journal Of Epidemiology 2021, 190: 2405-2419. PMID: 34165150, PMCID: PMC8384407, DOI: 10.1093/aje/kwab183.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overAnti-Bacterial AgentsAzithromycinCOVID-19COVID-19 Drug TreatmentDrug Therapy, CombinationFemaleHospitalizationHumansHydroxychloroquineIntention to Treat AnalysisMachine LearningMaleMiddle AgedPharmacoepidemiologyRetrospective StudiesSARS-CoV-2Treatment OutcomeUnited StatesVeteransConceptsUS veteransCOVID-19Veterans Affairs Health Care SystemRecent randomized clinical trialsAdministration of hydroxychloroquineEffectiveness of hydroxychloroquineRisk of intubationEffect of hydroxychloroquineElectronic health record dataRandomized clinical trialsTreatment of patientsUS veteran populationCOVID-19 outcomesCoronavirus disease 2019Health record dataRigorous study designsHealth care systemSurvival benefitTreat analysisEarly therapyHospitalized populationClinical trialsObservational studyDisease 2019HydroxychloroquineAssociation of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection
Chichetto NE, Kundu S, Freiberg MS, Koethe JR, Butt AA, Crystal S, So-Armah KA, Cook RL, Braithwaite RS, Justice AC, Fiellin DA, Khan M, Bryant KJ, Gaither JR, Barve SS, Crothers K, Bedimo RJ, Warner A, Tindle HA. Association of Syndemic Unhealthy Alcohol Use, Smoking, and Depressive Symptoms on Incident Cardiovascular Disease among Veterans With and Without HIV-Infection. AIDS And Behavior 2021, 25: 2852-2862. PMID: 34101074, PMCID: PMC8376776, DOI: 10.1007/s10461-021-03327-4.Peer-Reviewed Original ResearchConceptsIncident cardiovascular diseaseUnhealthy alcohol useCardiovascular diseaseDepressive symptomsCVD riskHIV statusAlcohol useMultivariable Cox proportional hazards regressionCases of CVDCox proportional hazards regressionCVD-free participantsHIV-negative veteransProportional hazards regressionHIV-negativeHIV infectionHazards regressionSyndemic conditionsExcess riskRisk factorsDiagnostic codesHigh prevalenceObservational studyBaseline numberGreater riskSmokingAssociation between HIV infection and hypertension: a global systematic review and meta-analysis of cross-sectional studies
Davis K, Perez-Guzman P, Hoyer A, Brinks R, Gregg E, Althoff KN, Justice AC, Reiss P, Gregson S, Smit M. Association between HIV infection and hypertension: a global systematic review and meta-analysis of cross-sectional studies. BMC Medicine 2021, 19: 105. PMID: 33980222, PMCID: PMC8117497, DOI: 10.1186/s12916-021-01978-7.Peer-Reviewed Original ResearchConceptsHIV-negative individualsCross-sectional studyHIV statusHypertension riskPrevalent hypertensionRisk ratioObservational studyGlobal systematic reviewSystematic reviewEffective antiretroviral therapyHIV-negative controlsNon-communicable diseasesStudy-level factorsDifferent risk factorsRandom-effects modelHypertension differsAntiretroviral therapyHypertension preventionHIV infectionCochrane CENTRALRisk factorsHypertensionPLHIVMAIN OUTCOMEHigh risk
2020
Does Reducing Drinking in Patients with Unhealthy Alcohol Use Improve Pain Interference, Use of Other Substances, and Psychiatric Symptoms?
Caniglia EC, Stevens ER, Khan M, Young KE, Ban K, Marshall BDL, Chichetto NE, Gaither JR, Crystal S, Edelman EJ, Fiellin DA, Gordon AJ, Bryant KJ, Tate J, Justice AC, Braithwaite RS. Does Reducing Drinking in Patients with Unhealthy Alcohol Use Improve Pain Interference, Use of Other Substances, and Psychiatric Symptoms? Alcohol Clinical And Experimental Research 2020, 44: 2257-2265. PMID: 33030753, PMCID: PMC8077101, DOI: 10.1111/acer.14455.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useAlcohol usePain interferenceTobacco smokingUS veteransOdds ratioPsychiatric symptomsDepressive symptomsCocaine useVeterans Aging Cohort StudyAlcohol Use Disorders Identification Test (AUDIT) questionnaireCannabis useSubstance useAging Cohort StudyAnxiety symptomsSeparate logistic regression modelsChronic pain interferenceMultisite observational studyLogistic regression modelsCohort studyInverse probability weightingNext followObservational studyPotential selection biasYears postbaseline
2019
Effect estimates in randomized trials and observational studies: comparing apples with apples
Lodi S, Phillips A, Lundgren J, Logan R, Sharma S, Cole SR, Babiker A, Law M, Chu H, Byrne D, Horban A, Sterne JAC, Porter K, Sabin C, Costagliola D, Abgrall S, Gill J, Touloumi G, Pacheco AG, van Sighem A, Reiss P, Bucher HC, Giménez A, Jarrin I, Wittkop L, Meyer L, Perez-Hoyos S, Justice A, Neaton JD, Hernán MA. Effect estimates in randomized trials and observational studies: comparing apples with apples. American Journal Of Epidemiology 2019, 188: 1569-1577. PMID: 31063192, PMCID: PMC6670045, DOI: 10.1093/aje/kwz100.Peer-Reviewed Original ResearchRegional and Rural-Urban Differences in the Use of Direct-acting Antiviral Agents for Hepatitis C Virus
Njei B, Esserman D, Krishnan S, Ohl M, Tate JP, Hauser RG, Taddei T, Lim J, Justice AC. Regional and Rural-Urban Differences in the Use of Direct-acting Antiviral Agents for Hepatitis C Virus. Medical Care 2019, 57: 279-285. PMID: 30807449, PMCID: PMC6436819, DOI: 10.1097/mlr.0000000000001071.Peer-Reviewed Original ResearchConceptsDirect-acting antiviral agentsHepatitis C virus infectionVeterans Affairs Healthcare SystemRural-Urban Commuting Area codesCurative HCV treatmentRural-urban designationC virus infectionElectronic health record dataHepatitis C virusPrior treatment experienceLower odds ratioHealth record dataZone improvement plan codeEligible patientsHCV treatmentAntiretroviral medicationsRural-urban residenceLiver diseaseUnadjusted analysesC virusRural-urban differencesOdds ratioMultivariable modelLower incidenceObservational study
2017
Comparison of dynamic monitoring strategies based on CD4 cell counts in virally suppressed, HIV-positive individuals on combination antiretroviral therapy in high-income countries: a prospective, observational study
Caniglia EC, Cain LE, Sabin CA, Robins JM, Logan R, Abgrall S, Mugavero MJ, Hernández-Díaz S, Meyer L, Seng R, Drozd DR, Seage GR, Bonnet F, Dabis F, Moore RD, Reiss P, van Sighem A, Mathews WC, del Amo J, Moreno S, Deeks SG, Muga R, Boswell SL, Ferrer E, Eron JJ, Napravnik S, Jose S, Phillips A, Justice AC, Tate JP, Gill J, Pacheco A, Veloso VG, Bucher HC, Egger M, Furrer H, Porter K, Touloumi G, Crane H, Miro JM, Sterne JA, Costagliola D, Saag M, Hernán MA, Collaboration H, Systems C. Comparison of dynamic monitoring strategies based on CD4 cell counts in virally suppressed, HIV-positive individuals on combination antiretroviral therapy in high-income countries: a prospective, observational study. The Lancet HIV 2017, 4: e251-e259. PMID: 28411091, PMCID: PMC5492888, DOI: 10.1016/s2352-3018(17)30043-7.Peer-Reviewed Original ResearchConceptsCD4 cell countHIV-positive individualsVirological failureHazard ratioCell countViral loadRisk ratioObservational studyTime-varying CD4 cell countHIV RNA viral loadAntiretroviral therapy regimenCombination antiretroviral therapyRNA viral loadAIDS Research NetworkMortality hazard ratioIntegrated Clinical SystemsHIV-CAUSAL CollaborationLong-term safetyCell count differencesAntiretroviral therapyCD4 countTherapy regimenProspective studyImmunological outcomesClinical guidelines
2016
Weight Gain and Incident Diabetes Among HIV-Infected Veterans Initiating Antiretroviral Therapy Compared With Uninfected Individuals
Herrin M, Tate JP, Akgün KM, Butt AA, Crothers K, Freiberg MS, Gibert CL, Leaf DA, Rimland D, Rodriguez-Barradas MC, Ruser CB, Herold KC, Justice AC. Weight Gain and Incident Diabetes Among HIV-Infected Veterans Initiating Antiretroviral Therapy Compared With Uninfected Individuals. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2016, 73: 228-236. PMID: 27171741, PMCID: PMC5023454, DOI: 10.1097/qai.0000000000001071.Peer-Reviewed Original ResearchConceptsRisk of DMVeterans Aging Cohort StudyAntiretroviral therapyAging Cohort StudyDiabetes mellitusBody mass indexUninfected individualsWeight gainART initiationIncident diabetesCohort studyHazard ratioMass indexIncident type 2 diabetes mellitusAvailable body mass indexBaseline body mass indexType 2 diabetes mellitusNational observational studyConfidence intervalsSubstantial weight gainHIV infectionCox regressionPounds of weightObservational studyLow prevalence
2012
The effect of efavirenz versus nevirapine-containing regimens on immunologic, virologic and clinical outcomes in a prospective observational study
Cain LE, Phillips A, Lodi S, Sabin C, Bansi L, Justice A, Tate J, Logan R, Robins JM, Sterne JA, van Sighem A, de Wolf F, Bucher HC, Elzi L, Touloumi G, Vourli G, Esteve A, Casabona J, del Amo J, Moreno S, Seng R, Meyer L, Pérez-Hoyos S, Muga R, Abgrall S, Costagliola D, Hernán MA. The effect of efavirenz versus nevirapine-containing regimens on immunologic, virologic and clinical outcomes in a prospective observational study. AIDS 2012, 26: 1691-1705. PMID: 22546987, PMCID: PMC3647467, DOI: 10.1097/qad.0b013e328354f497.Peer-Reviewed Original ResearchConceptsAIDS-free individualsCD4 cell countEfavirenz regimensVirologic failureVirologic outcomesCell countMore nucleoside reverseNevirapine-containing regimensTreat hazard ratiosTypes of regimensProspective observational studyHIV-CAUSAL CollaborationEffect of efavirenzEfavirenz regimenNevirapine regimenNevirapine regimensHazard ratioNucleoside reverseClinical outcomesProspective studyInverse probability weightingLower incidenceObservational studyRegimensLower mortality
2008
An experimental study of the agreement of self-administration and telephone administration of the Timeline Followback interview.
Maisto SA, Conigliaro JC, Gordon AJ, McGinnis KA, Justice AC. An experimental study of the agreement of self-administration and telephone administration of the Timeline Followback interview. Journal Of Studies On Alcohol And Drugs 2008, 69: 468-71. PMID: 18432391, PMCID: PMC3115624, DOI: 10.15288/jsad.2008.69.468.Peer-Reviewed Original ResearchConceptsDaily alcohol consumptionAlcohol consumptionTimeline Followback interviewObservational studyVeterans Aging Cohort StudyHIV-negative adultsHIV-negative individualsHIV-negative menAging Cohort StudyGeneral medicine clinicLarge observational studiesMedian total numberExcellent test-retest reliabilityMultisite observational studyCohort studyTest-retest reliabilityMedicine clinicOngoing longitudinal studyHIVInfectious diseasesTelephone interviewsTelephone administrationClassification of participantsAdministrationSame findings
2007
Delayed Presentation for Human Immunodeficiency Virus (HIV) Care Among Veterans
Gandhi NR, Skanderson M, Gordon KS, Concato J, Justice AC. Delayed Presentation for Human Immunodeficiency Virus (HIV) Care Among Veterans. Medical Care 2007, 45: 1105-1109. PMID: 18049352, PMCID: PMC3460382, DOI: 10.1097/mlr.0b013e3181271476.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusVeterans Health AdministrationHIV presentationHIV careClinical triggersVA healthcareHuman immunodeficiency virus (HIV) careImmune deficiency syndrome diagnosisHIV-positive patientsHalf of patientsRetrospective observational studyCells/Immune deficiency syndromeHalf of veteransVA Medical CenterYear of presentationAntiretroviral therapyCD4 countHIV screeningMedian durationHIV infectionPhysician visitsImmunodeficiency virusDeficiency syndromeObservational study
2006
Veterans Aging Cohort Study (VACS)
Justice AC, Dombrowski E, Conigliaro J, Fultz SL, Gibson D, Madenwald T, Goulet J, Simberkoff M, Butt AA, Rimland D, Rodriguez-Barradas MC, Gibert CL, Oursler KA, Brown S, Leaf DA, Goetz MB, Bryant K. Veterans Aging Cohort Study (VACS). Medical Care 2006, 44: s13-s24. PMID: 16849964, PMCID: PMC3049942, DOI: 10.1097/01.mlr.0000223741.02074.66.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHuman immunodeficiency virusAging Cohort StudyCohort studyHIV infectionGeneral medical clinicMultisite observational studyElectronic medical record systemRace/ethnicityUninfected patientsBaseline characteristicsMedical record systemTarget enrollmentImmunodeficiency virusObservational studyNational VAMedical clinicsInfectious diseasesDisease controlTelephone interviewsStudy designAlcohol useEnrollment targetsCareVeterans
2005
A Temporal and Dose‐Response Association Between Alcohol Consumption and Medication Adherence Among Veterans in Care
Braithwaite RS, McGinnis KA, Conigliaro J, Maisto SA, Crystal S, Day N, Cook RL, Gordon A, Bridges MW, Seiler JF, Justice AC. A Temporal and Dose‐Response Association Between Alcohol Consumption and Medication Adherence Among Veterans in Care. Alcohol Clinical And Experimental Research 2005, 29: 1190-1197. PMID: 16046874, DOI: 10.1097/01.alc.0000171937.87731.28.Peer-Reviewed Original ResearchConceptsAlcohol consumptionDose-response relationshipTime-Line FollowNonbinge drinkersHIV individualsMedication adherencePoor adherenceBinge drinkersDrinking daysVeterans Aging Cohort StudyDose-response associationAging Cohort StudySelf-reported alcohol consumptionTelephone interview surveyCohort studyMedication dosesPrescribed medicationsObservational studyInterview SurveyDrinkersAdherenceSame dayDosesAbstainersCare
2004
The Veterans Aging Cohort Study: Observational Studies of Alcohol Use, Abuse, and Outcomes Among Human Immunodeficiency Virus–Infected Veterans
Conigliaro J, Madenwald T, Bryant K, Braithwaite S, Gordon A, Fultz SL, Maisto S, Samet J, Kraemer K, Cook R, Day N, Roach D, Richey S, Justice A. The Veterans Aging Cohort Study: Observational Studies of Alcohol Use, Abuse, and Outcomes Among Human Immunodeficiency Virus–Infected Veterans. Alcohol Clinical And Experimental Research 2004, 28: 313-321. PMID: 15112939, DOI: 10.1097/01.alc.0000113414.73220.21.Peer-Reviewed Original ResearchDisease progression in HIV-infected patients treated with stavudine vs. zidovudine
Justice AC, Stein DS, Fusco GP, Sherrill BH, Fusco JS, Danehower SC, Becker SL, Hansen NI, Graham NM, Team T. Disease progression in HIV-infected patients treated with stavudine vs. zidovudine. Journal Of Clinical Epidemiology 2004, 57: 89-97. PMID: 15019015, DOI: 10.1016/s0895-4356(03)00245-2.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeAnti-HIV AgentsAntiretroviral Therapy, Highly ActiveDatabases, FactualDisease ProgressionDisease-Free SurvivalFollow-Up StudiesHIV InfectionsHIV Wasting SyndromeHumansProportional Hazards ModelsProspective StudiesReverse Transcriptase InhibitorsStavudineZidovudineConceptsCells/microLDisease progressionLandmark analysisCox proportional hazards modelEvent-free survivalHIV-1 patientsHIV-1 RNAProportional hazards modelPrevious AIDSStavudine treatmentCD4 countHIV infectionInhibitor useCombination therapyUnadjusted analysesObservational studyHIV-1U.S. cohortHazards modelPatientsZidovudineStavudineNew casesNRTIsProgression