2023
Perspectives on contingency management for alcohol use and alcohol‐associated conditions among people in care with HIV
Cohen S, DePhilippis D, Deng Y, Dziura J, Ferguson T, Fucito L, Justice A, Maisto S, Marconi V, Molina P, Paris M, Rodriguez‐Barradas M, Simberkoff M, Petry N, Fiellin D, Edelman E. Perspectives on contingency management for alcohol use and alcohol‐associated conditions among people in care with HIV. Alcohol Clinical And Experimental Research 2023, 47: 1783-1797. PMID: 37524371, PMCID: PMC10828101, DOI: 10.1111/acer.15159.Peer-Reviewed Original ResearchUnhealthy alcohol useAlcohol useContingency managementPrimary care settingSubset of participantsReward structureEvidence-based approachHIV clinicImplementation science frameworkTreatment trialsClinical trialsIntervention feasibilityCare settingsPromoting ActionAlcohol consumptionRelated conditionsBiochemical testingClinical contextHIVReward schedulePatientsReward processesInterventionTrialsBehavior changeRacial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans
Vickers-Smith R, Justice A, Becker W, Rentsch C, Curtis B, Fernander A, Hartwell E, Ighodaro E, Kember R, Tate J, Kranzler H. Racial and Ethnic Bias in the Diagnosis of Alcohol Use Disorder in Veterans. American Journal Of Psychiatry 2023, 180: 426-436. PMID: 37132202, PMCID: PMC10238581, DOI: 10.1176/appi.ajp.21111097.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol consumptionAUD diagnosisHispanic veteransWhite veteransUse disordersPrevalence of AUDAlcohol Use Disorders Identification TestUnhealthy alcohol useICD-10 codesAUDIT-C scoresSelf-reported alcohol consumptionAlcohol-related disordersDiagnosis of AUDDisorders Identification TestMaximum scoreSelf-reported raceElectronic health recordsPrimary outcomeAlcohol consumption levelsPotential confoundersHigh prevalenceMillion Veteran ProgramGreater oddsICD-9
2021
Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults?
Khan MR, Ban K, Caniglia EC, Edelman JE, Gaither J, Crystal S, Chichetto NE, Young KE, Tate J, Justice AC, Braithwaite RS. Brief original report: Does smoking status provide information relevant to screening for other substance use among US adults? Preventive Medicine Reports 2021, 23: 101483. PMID: 34345578, PMCID: PMC8319511, DOI: 10.1016/j.pmedr.2021.101483.Peer-Reviewed Original ResearchInjection drug useUnhealthy alcohol useTobacco screeningDrug useSubstance useOpioid useStimulant useAlcohol useCrack/cocaine useIllicit opioid useCrack/cocaineTest performance characteristicsFormer smokersCurrent smokingSmoking statusUS adultsLifetime smokingCocaine useSmokingScreening resultsFour-fold decreaseNegative resultsMarijuana usePositive resultsTwo-fold decreaseAssociation 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 riskSmokingFactors associated with phosphatidylethanol (PEth) sensitivity for detecting unhealthy alcohol use: An individual patient data meta‐analysis
Hahn JA, Murnane PM, Vittinghoff E, Muyindike WR, Emenyonu NI, Fatch R, Chamie G, Haberer JE, Francis JM, Kapiga S, Jacobson K, Myers B, Couture MC, DiClemente RJ, Brown JL, So-Armah K, Sulkowski M, Marcus GM, Woolf-King S, Cook RL, Richards VL, Molina P, Ferguson T, Welsh D, Piano MR, Phillips SA, Stewart S, Afshar M, Page K, McGinnis K, Fiellin DA, Justice AC, Bryant K, Saitz R. Factors associated with phosphatidylethanol (PEth) sensitivity for detecting unhealthy alcohol use: An individual patient data meta‐analysis. Alcohol Clinical And Experimental Research 2021, 45: 1166-1187. PMID: 33837975, PMCID: PMC8254773, DOI: 10.1111/acer.14611.Peer-Reviewed Original ResearchConceptsIndividual participant dataUnhealthy alcohol useRace/ethnicitySelf-reported alcohol useAlcohol useBiologic variablesHigher oddsAlcohol consumptionBlood collectionAdvanced liver fibrosisUnhealthy alcohol consumptionIndividual patient dataAUDIT-C scoresAssociation of sexAfrican AmericansHigher BMILiver fibrosisEligible studiesHigher hemoglobinClinical careLower oddsAlcohol metabolitesParticipant dataPatient dataMixed effects modelsThe relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system
Satre DD, Levine-Hall T, Sterling SA, Young-Wolff KC, Lam JO, Alexeeff S, Hojilla JC, Williams A, Justice AC, Sterne J, Cavassini M, Bryant KJ, Williams EC, Horberg MA, Volberding P, Weisner C, Silverberg MJ. The relationship of smoking and unhealthy alcohol use to the HIV care continuum among people with HIV in an integrated health care system. Drug And Alcohol Dependence 2021, 219: 108481. PMID: 33429295, PMCID: PMC7869693, DOI: 10.1016/j.drugalcdep.2020.108481.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useHIV care continuum outcomesIntegrated health care systemCare continuum outcomesAlcohol useHealth care systemContinuum outcomesCare continuumOdds ratioHigher oddsKaiser Permanente Northern CaliforniaCare systemHIV RNA controlPrimary care screeningHIV care continuumRelationship of smokingAdjusted odds ratioSeparate logistic regression modelsLogistic regression modelsRace/ethnicityHIV careHIV RNASmoking statusMean ageCare screening
2020
Health System‐Based Unhealthy Alcohol Use Screening and Treatment Comparing Demographically Matched Participants With and Without HIV
Silverberg MJ, Levine‐Hall T, Hood N, Anderson AN, Alexeeff SE, Lam JO, Slome SB, Flamm JA, Hare C, Ross T, Justice A, Sterne JAC, Williams A, Bryant KJ, Weisner CM, Horberg MA, Sterling SA, Satre DD. Health System‐Based Unhealthy Alcohol Use Screening and Treatment Comparing Demographically Matched Participants With and Without HIV. Alcohol Clinical And Experimental Research 2020, 44: 2545-2554. PMID: 33067802, PMCID: PMC7725961, DOI: 10.1111/acer.14481.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useAlcohol use screeningHIV statusBrief interventionRace/ethnicityAlcohol useSpecialty visitsHazard ratioPrevalence ratiosLarge integrated healthcare systemCharlson Comorbidity IndexSpecialty care visitsProportional hazards modelIntegrated healthcare systemOutcomes of timeSubstance use disordersAddiction specialty careNeighborhood deprivation indexElectronic health recordsComorbidity indexAdult PLWHCare visitsCohort studyOutpatient visitsSignificant morbidityDoes 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 postbaselineValidating Self‐Reported Unhealthy Alcohol Use With Phosphatidylethanol (PEth) Among Patients With HIV
Eyawo O, Deng Y, Dziura J, Justice AC, McGinnis K, Tate JP, Rodriguez‐Barradas M, Hansen NB, Maisto SA, Marconi VC, O’Connor P, Bryant K, Fiellin DA, Edelman EJ. Validating Self‐Reported Unhealthy Alcohol Use With Phosphatidylethanol (PEth) Among Patients With HIV. Alcohol Clinical And Experimental Research 2020, 44: 2053-2063. PMID: 33460225, PMCID: PMC8856627, DOI: 10.1111/acer.14435.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useSignificant alcohol useHeavy drinking daysAlcohol use disorderTimeline FollowbackAlcohol useSelf-reported alcohol useNumber of drinksClinical trialsRisk drinkingUse disordersDrinking daysBiomarker-based evidenceSample of PWHDrinks/dayMean numberSelf-reported alcohol consumptionMagnitude of associationBlood spot samplesLiver diseasePEth levelsTLFB interviewAlcohol consumptionLogistic regressionPatientsMortality, Health, and Substance Abuse by Religious Attendance Among HIV Infected Patients from the Veterans Aging Cohort Study
Doolittle BR, McGinnis K, Ransome Y, Fiellin D, Justice A. Mortality, Health, and Substance Abuse by Religious Attendance Among HIV Infected Patients from the Veterans Aging Cohort Study. AIDS And Behavior 2020, 25: 653-660. PMID: 32902769, DOI: 10.1007/s10461-020-03028-4.Peer-Reviewed Original ResearchConceptsCohort studyVeterans Aging Cohort StudyAging Cohort StudyAssociation of mortalitySmall cohort studiesUnhealthy alcohol useOverall drug useHIV/AIDSSmoking statusMortality riskHigh social supportDrug useBiological markersSubstance abuseLess marijuana useAlcohol usePast yearReligious attendanceLower depressionMarijuana useMortalitySocial supportAssociationAttendanceHCV
2019
343. T-cell Subsets Associated with Diabetes in Veterans with and without HIV
Bailin S, McGinnis K, McDonnell W, So-Armah K, Wellons M, Doyle M, Mallal S, Justice A, Freiberg M, Koethe J. 343. T-cell Subsets Associated with Diabetes in Veterans with and without HIV. Open Forum Infectious Diseases 2019, 6: s182-s183. PMCID: PMC6810455, DOI: 10.1093/ofid/ofz360.416.Peer-Reviewed Original ResearchVeterans Aging Cohort StudyT cell subsetsPrevalent diabetesT cellsHIV statusMemory CD4Immune activationNaïve CD8VA electronic medical recordsMultivariate logistic regression modelAdaptive immune activationAdaptive immune profileT effector memoryChronic immune activationEffector memory cellsAging Cohort StudyCentral memory cellsMemory T cellsBody mass indexICD-9 codesPeripheral mononuclear cellsUnhealthy alcohol useElectronic medical recordsLogistic regression modelsRace/ethnicityMedical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States
Rentsch CT, Tate JP, Steel T, Butt AA, Gibert CL, Huang L, Pisani M, Soo Hoo GW, Crystal S, Rodriguez-Barradas MC, Brown ST, Freiberg MS, Graber CJ, Kim JW, Rimland D, Justice AC, Fiellin DA, Crothers KA, Akgün KM. Medical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 80: 145-151. PMID: 30422912, PMCID: PMC6701630, DOI: 10.1097/qai.0000000000001904.Peer-Reviewed Original ResearchConceptsHepatitis C virusAlcohol-related diagnosesAdmission ratesMICU admissionAdmission riskC virusRelative riskIntensive care unit admission rateMedical intensive care unit admissionAge-adjusted admission ratesHCV mono-infected patientsIntensive care unit admissionVeterans Aging Cohort StudyHCV care providersCare unit admissionAging Cohort StudyAdjusted rate ratiosConfidence intervalsVeterans Health AdministrationUnhealthy alcohol useHIV monoHIV-/HCVUnit admissionCause hospitalizationHCV infection
2018
Alcohol and Mortality
Eyawo O, McGinnis KA, Justice AC, Fiellin DA, Hahn JA, Williams EC, Gordon AJ, Marshall BDL, Kraemer KL, Crystal S, Gaither JR, Edelman EJ, Bryant KJ, Tate JP. Alcohol and Mortality. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2018, 77: 135-143. PMID: 29112041, PMCID: PMC5762259, DOI: 10.1097/qai.0000000000001588.Peer-Reviewed Original ResearchConceptsHepatitis C virusAlcohol exposureAlcohol useDirect biomarkerVeterans Aging Cohort Study Biomarker CohortBlood collection dateRecent alcohol exposureHIV viral suppressionUnhealthy alcohol useRelationship of alcoholAUDIT-C scoresViral suppressionC virusHigh riskRisk of harmHIVClinical settingMortalityPEthExposureBiomarkersRiskImproved detectionAuditIndividualsRacial/ethnic differences in the association between alcohol use and mortality among men living with HIV
Bensley KM, McGinnis KA, Fiellin DA, Gordon AJ, Kraemer KL, Bryant KJ, Edelman EJ, Crystal S, Gaither JR, Korthuis PT, Marshall BDL, Ornelas IJ, Chan KCG, Dombrowski JC, Fortney JC, Justice AC, Williams EC. Racial/ethnic differences in the association between alcohol use and mortality among men living with HIV. Addiction Science & Clinical Practice 2018, 13: 2. PMID: 29353555, PMCID: PMC6389249, DOI: 10.1186/s13722-017-0103-z.Peer-Reviewed Original ResearchConceptsLow-risk alcohol useMortality riskAlcohol useRace/ethnicityWhite PLWHMortality rateAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaireVeterans Aging Cohort StudyCox proportional hazards modelHigh-risk alcohol useAUDIT-C screeningAging Cohort StudyElectronic health record dataRisk of mortalityHigh-risk relativesUnhealthy alcohol useHigher mortality riskProportional hazards modelHealth record dataHigh mortality rateEthnic groupsMale PLWHCohort studyWhite patientsGeneral outpatients
2017
Association of Cannabis, Stimulant, and Alcohol use with Mortality Prognosis Among HIV-Infected Men
Adams JW, Bryant KJ, Edelman J, Fiellin DA, Gaither JR, Gordon AJ, Gordon KS, Kraemer KL, Mimiaga MJ, Operario D, Tate JP, van den Berg JJ, Justice AC, Marshall BDL. Association of Cannabis, Stimulant, and Alcohol use with Mortality Prognosis Among HIV-Infected Men. AIDS And Behavior 2017, 22: 1341-1351. PMID: 28887669, PMCID: PMC5881942, DOI: 10.1007/s10461-017-1905-4.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyLow-risk alcohol useRisk alcohol useMortality riskAlcohol useStimulant useAdjusted longitudinal analysesAging Cohort StudyUnhealthy alcohol useAssociation of cannabisVACS IndexCause mortalityCohort studyPatient populationPrognostic indicatorMortality prognosisHIVStudy periodSubstance useCannabisRiskLongitudinal analysisMenMortalityStimulantsCorrigendum to “The Starting Treatment for Ethanol in Primary care Trials (STEP Trials): Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients” [Contemp. Clin. Trials 52 (2017) 80–90]
Edelman EJ, Maisto SA, Hansen NB, Cutter CJ, Dziura J, Fiellin LE, O'Connor PG, Bedimo R, Gibert C, Marconi VC, Rimland D, Rodriguez-Barradas MC, Simberkoff MS, Justice AC, Bryant KJ, Fiellin DA. Corrigendum to “The Starting Treatment for Ethanol in Primary care Trials (STEP Trials): Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients” [Contemp. Clin. Trials 52 (2017) 80–90]. Contemporary Clinical Trials 2017, 60: 125. PMID: 28712767, DOI: 10.1016/j.cct.2017.06.016.Peer-Reviewed Case Reports and Technical Notes
2016
Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients
Edelman EJ, Maisto SA, Hansen NB, Cutter CJ, Dziura J, Fiellin LE, O'Connor PG, Bedimo R, Gibert C, Marconi VC, Rimland D, Rodriguez-Barradas MC, Simberkoff MS, Justice AC, Bryant KJ, Fiellin DA. Protocol for three parallel multi-site stepped care effectiveness studies for unhealthy alcohol use in HIV-positive patients. Contemporary Clinical Trials 2016, 52: 80-90. PMID: 27876616, PMCID: PMC5253227, DOI: 10.1016/j.cct.2016.11.008.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useAlcohol use disorderHIV-positive patientsMotivational enhancement therapyAlcohol useWeek 12Risk drinkingWeek 4Effective evidence-based treatmentsInfectious disease clinicHIV-positive individualsModerate alcohol useEvidence-based treatmentsParticipants meeting criteriaImplementation of interventionsVACS IndexHIV careSecondary outcomesCare trialsDisease clinicHIV morbidityPrimary outcomeAlcohol pharmacotherapyInitial treatmentLiver diseaseComparison of AUDIT-C collected via electronic medical record and self-administered research survey in HIV infected and uninfected patients
McGinnis KA, Tate JP, Williams EC, Skanderson M, Bryant KJ, Gordon AJ, Kraemer KL, Maisto SA, Crystal S, Fiellin DA, Justice AC. Comparison of AUDIT-C collected via electronic medical record and self-administered research survey in HIV infected and uninfected patients. Drug And Alcohol Dependence 2016, 168: 196-202. PMID: 27694059, PMCID: PMC5086273, DOI: 10.1016/j.drugalcdep.2016.09.015.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useVeterans Aging Cohort StudyAlcohol useClinical screeningElectronic medical record dataHepatitis C infectionAging Cohort StudyMedical record dataElectronic medical recordsUninfected womenC infectionUninfected menUninfected patientsCohort studyMedical recordsUninfected individualsClinical decisionHIVModerate agreementRecord dataEMR dataMenAssess agreementWomenEMRWhat are the Patterns Between Depression, Smoking, Unhealthy Alcohol Use, and Other Substance Use Among Individuals Receiving Medical Care? A Longitudinal Study of 5479 Participants
Ruggles KV, Fang Y, Tate J, Mentor SM, Bryant KJ, Fiellin DA, Justice AC, Braithwaite RS. What are the Patterns Between Depression, Smoking, Unhealthy Alcohol Use, and Other Substance Use Among Individuals Receiving Medical Care? A Longitudinal Study of 5479 Participants. AIDS And Behavior 2016, 21: 2014-2022. PMID: 27475945, PMCID: PMC5542002, DOI: 10.1007/s10461-016-1492-9.Peer-Reviewed Original ResearchConceptsUnhealthy alcohol useVeterans Aging Cohort StudyAlcohol useSubstance useTreatment strategiesIntegrated screeningCurrent depressionMedical careHIV-negative subgroupsAging Cohort StudyPatterns of depressionCohort studyCurrent smokingOpioid useNegative subgroupSmokingDepressionLongitudinal studyHIVMarijuana useSubgroupsCareCurrent useScreeningStatus
2015
Quality of HIV Care and Mortality Rates in HIV-Infected Patients
Korthuis PT, McGinnis KA, Kraemer KL, Gordon AJ, Skanderson M, Justice AC, Crystal S, Goetz MB, Gibert CL, Rimland D, Fiellin LE, Gaither JR, Wang K, Asch SM, McInnes DK, Ohl ME, Bryant K, Tate JP, Duggal M, Fiellin DA. Quality of HIV Care and Mortality Rates in HIV-Infected Patients. Clinical Infectious Diseases 2015, 62: 233-239. PMID: 26338783, PMCID: PMC4690479, DOI: 10.1093/cid/civ762.Peer-Reviewed Original ResearchConceptsMortality rateIllicit drug useDrug useSurvival analysisDisease severityNational Death Index recordsVeterans Aging Cohort StudyKaplan-Meier survival analysisCox proportional hazards modelAge-adjusted mortality ratesPast-year illicit drug useAging Cohort StudyOverall mortality rateHuman immunodeficiency virusVeterans Health AdministrationUnhealthy alcohol useProportional hazards modelLower age-adjusted mortality ratesHigh-quality careLongitudinal survival analysisHIV qualityUnhealthy alcoholHIV careCohort studyImproved survival