2023
Racial 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 ResearchMeSH KeywordsAlcohol DrinkingAlcoholismEthnicityHumansMaleUnited StatesUnited States Department of Veterans AffairsVeteransConceptsAlcohol 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-9Enhanced Identification of Hispanic Ethnicity Using Clinical Data
Ochoa-Allemant P, Tate J, Williams E, Gordon K, Marconi V, Bensley K, Rentsch C, Wang K, Taddei T, Justice A, Cohorts F. Enhanced Identification of Hispanic Ethnicity Using Clinical Data. Medical Care 2023, 61: 200-205. PMID: 36893404, PMCID: PMC10114212, DOI: 10.1097/mlr.0000000000001824.Peer-Reviewed Original ResearchMeSH KeywordsAgedCohort StudiesDelivery of Health CareElectronic Health RecordsEthnicityHispanic or LatinoHumansMedicareUnited StatesUnited States Department of Veterans AffairsConceptsBurden of diseaseHispanic patientsCountry of birthClinical dataHispanic ethnicityNon-Hispanic white patientsSex-adjusted prevalenceChronic liver diseaseHuman immunodeficiency virusDemographic characteristicsElectronic health record dataHealth careHealth record dataPrevalence of conditionsUS health care systemMedicare administrative dataHealth care systemWhite patientsLiver diseaseImmunodeficiency virusSelf-reported ethnicityHigh prevalenceGastric cancerHepatocellular carcinomaVeteran population
2021
Protease inhibitor-based direct-acting antivirals are associated with increased risk of aminotransferase elevations but not hepatic dysfunction or decompensation
Torgersen J, Newcomb CW, Carbonari DM, Rentsch CT, Park LS, Mezochow A, Mehta RL, Buchwalder L, Tate JP, Bräu N, Bhattacharya D, Lim JK, Taddei TH, Justice AC, Lo Re V. Protease inhibitor-based direct-acting antivirals are associated with increased risk of aminotransferase elevations but not hepatic dysfunction or decompensation. Journal Of Hepatology 2021, 75: 1312-1322. PMID: 34333102, PMCID: PMC8604762, DOI: 10.1016/j.jhep.2021.07.021.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntiviral AgentsCohort StudiesFemaleHumansLiver Failure, AcuteMaleMiddle AgedPropensity ScoreProportional Hazards ModelsProtease InhibitorsRetrospective StudiesRisk FactorsTransaminasesUnited StatesUnited States Department of Veterans AffairsConceptsSevere hepatic dysfunctionBaseline FIB-4Acute liver injuryHepatic dysfunctionInhibitor-based treatmentHepatic decompensationFIB-4Liver injuryHigh riskDAA therapyHazard ratioAdvanced liver fibrosis/cirrhosisRisk of ALIProtease inhibitor-based regimensProtease inhibitor-based treatmentLiver fibrosis/cirrhosisInhibitor-based regimensHepatitis C infectionSevere liver dysfunctionFibrosis/cirrhosisInhibitor-based therapyAminotransferase elevationChronic HCVALT elevationC infectionCOVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority
Ramoni R, Klote M, Muralidhar S, Brandt C, Bernstein MA, McMahon BH, Jacobson DA, Justice AC. COVID-19 Insights Partnership: Leveraging big data from the Department of Veterans Affairs and supercomputers at the Department of Energy under the public health authority. Journal Of The American Medical Informatics Association 2021, 28: 1578-1581. PMID: 33779710, PMCID: PMC8083698, DOI: 10.1093/jamia/ocab062.Peer-Reviewed Original ResearchArtificial IntelligenceBig DataComputersCOVID-19Datasets as TopicHumansInformation DisseminationPublic Health AdministrationUnited StatesUnited States Department of Veterans AffairsUnited States Government Agencies
2020
Association of OPRM1 Functional Coding Variant With Opioid Use Disorder
Zhou H, Rentsch CT, Cheng Z, Kember RL, Nunez YZ, Sherva RM, Tate JP, Dao C, Xu K, Polimanti R, Farrer LA, Justice AC, Kranzler HR, Gelernter J. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry 2020, 77: 1072-1080. PMID: 32492095, PMCID: PMC7270886, DOI: 10.1001/jamapsychiatry.2020.1206.Peer-Reviewed Original ResearchMeSH KeywordsAgedFemaleGenome-Wide Association StudyHumansMaleMiddle AgedOpioid-Related DisordersReceptors, Opioid, muUnited StatesUnited States Department of Veterans AffairsConceptsOpioid use disorderUse disordersMendelian randomization analysisAfrican American individualsMAIN OUTCOMEFunctional coding variantSignificant associationCausal associationRandomization analysisElectronic health record dataCurrent opioid crisisAmerican individualsHealth record dataCognitive performanceInternational Statistical ClassificationRelated Health ProblemsPotential causal associationAmerican controlsEuropean American controlsAfrican-American controlsCoding variantBuprenorphine treatmentOUD diagnosisTobacco smokingNinth RevisionMortality, 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 ResearchMeSH KeywordsAge FactorsAgedAgingAnti-HIV AgentsCohort StudiesFemaleHIV InfectionsHumansMaleMiddle AgedRacial GroupsSpiritualitySubstance-Related DisordersUnited StatesUnited States Department of Veterans AffairsVeteransConceptsCohort 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 supportAssociationAttendanceHCVSerious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchMeSH KeywordsAccidental FallsAlgorithmsBody Mass IndexCohort StudiesComorbidityFemaleHumansMaleMiddle AgedPolypharmacyQuality of LifeReproducibility of ResultsRisk AssessmentSex FactorsSubstance-Related DisordersUnited StatesUnited States Department of Veterans AffairsVeteransConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disordersExtracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools
Akgün KM, Sigel K, Cheung KH, Kidwai-Khan F, Bryant AK, Brandt C, Justice A, Crothers K. Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools. PLOS ONE 2020, 15: e0227730. PMID: 31945115, PMCID: PMC6964890, DOI: 10.1371/journal.pone.0227730.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesData MiningElectronic Health RecordsForced Expiratory VolumeHealth Information SystemsHospitalizationHumansLungNatural Language ProcessingPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexSoftwareUnited StatesUnited States Department of Veterans AffairsVeteransVital CapacityConceptsChronic obstructive pulmonary diseaseVeterans Aging Cohort StudyObstructive pulmonary diseaseFEV1 valuesPulmonary diseasePhenotyping of patientsPulmonary function testsAging Cohort StudyLung function measurementsElectronic health record dataHealth record dataStructured electronic health record dataPositive predictive valueElectronic health recordsAirflow obstructionChart reviewCohort studyExpiratory volumeCOPD phenotypesFunction testsVital capacityFEV1 measurementsDATA SOURCESPredictive valueClinical notes
2019
HIV RNA, CD4+ Percentage, and Risk of Hepatocellular Carcinoma by Cirrhosis Status
Torgersen J, Kallan MJ, Carbonari DM, Park LS, Mehta RL, D’Addeo K, Tate JP, Lim JK, Goetz MB, Rodriguez-Barradas MC, Gibert CL, Bräu N, Brown ST, Roy JA, Taddei TH, Justice AC, Re V. HIV RNA, CD4+ Percentage, and Risk of Hepatocellular Carcinoma by Cirrhosis Status. Journal Of The National Cancer Institute 2019, 112: 747-755. PMID: 31687755, PMCID: PMC7357318, DOI: 10.1093/jnci/djz214.Peer-Reviewed Original ResearchConceptsRisk of HCCHigher HIV RNAHCC risk factorsHIV RNAHIV viremiaHepatocellular carcinomaBaseline cirrhosisCirrhosis statusCohort studyRisk factorsCell percentageVeterans Aging Cohort StudyDevelopment of HCCCurrent HIV RNADetectable HIV viremiaHepatitis C coinfectionAging Cohort StudyDiagnosis of cirrhosisLonger durationDetectable HIVLow CD4C coinfectionCurrent CD4Hazard ratioCancer RegistryMeasuring Exposure to Incarceration Using the Electronic Health Record
Wang EA, Long JB, McGinnis KA, Wang KH, Wildeman CJ, Kim C, Bucklen KB, Fiellin DA, Bates J, Brandt C, Justice AC. Measuring Exposure to Incarceration Using the Electronic Health Record. Medical Care 2019, 57: s157-s163. PMID: 31095055, PMCID: PMC8352066, DOI: 10.1097/mlr.0000000000001049.Peer-Reviewed Original ResearchMeSH KeywordsAdministrative Claims, HealthcareAdultCohort StudiesElectronic Health RecordsEthnicityFemaleHumansInformation Storage and RetrievalMaleMedicareMiddle AgedNatural Language ProcessingPrisonersSelf ReportSensitivity and SpecificityUnited StatesUnited States Department of Veterans AffairsVeteransConceptsVeterans Aging Cohort StudyElectronic health recordsHuman immunodeficiency virus-infected patientsVHA electronic health recordsNational observational cohortVirus-infected patientsHealth recordsAging Cohort StudyEHR dataHealth care disparitiesAdministrative dataRace/ethnicityIncarceration exposureObservational cohortUninfected patientsCohort studySpecificity 99.3DATA SOURCESCare disparitiesSpecificity 100Specificity 98.9Social determinantsMedicaid ServicesSpecificity 95.9Health informationRegional 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 ResearchMeSH KeywordsAgedAntiviral AgentsFemaleHepacivirusHepatitis CHumansMaleRural PopulationUnited StatesUnited States Department of Veterans AffairsUrban PopulationVeteransConceptsDirect-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
2018
Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection
Rentsch CT, Cartwright EJ, Gandhi NR, Brown ST, Rodriguez-Barradas MC, Goetz MB, Marconi VC, Gibert CL, Re VL, Fiellin DA, Justice AC, Tate JP. Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection. Annals Of Epidemiology 2018, 28: 808-811. PMID: 30195616, PMCID: PMC6318448, DOI: 10.1016/j.annepidem.2018.08.007.Peer-Reviewed Original ResearchMeSH KeywordsAgedAntiviral AgentsDrug PrescriptionsElectronic Health RecordsFemaleHepatitis C, ChronicHumansMaleMiddle AgedPharmacoepidemiologyPharmacyUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthConceptsHepatitis C virus infectionCorporate Data WarehouseChronic HCV infectionC virus infectionPositive predictive valuePredictive valueHCV infectionHCV treatmentVirus infectionVeterans Health Administration Corporate Data WarehouseChronic hepatitis C virus (HCV) infectionStudy periodModern treatment eraRetrospective cohort studyElectronic health record dataPharmacy fill recordsHealth record dataNegative predictive valueElectronic health recordsAntiviral regimenHCV therapyTreatment eraChart reviewCohort studyAntiviral treatmentDuration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care
Barry DT, Marshall BDL, Becker WC, Gordon AJ, Crystal S, Kerns RD, Gaither JR, Gordon KS, Justice AC, Fiellin DA, Edelman EJ. Duration of opioid prescriptions predicts incident nonmedical use of prescription opioids among U.S. veterans receiving medical care. Drug And Alcohol Dependence 2018, 191: 348-354. PMID: 30176548, PMCID: PMC6596307, DOI: 10.1016/j.drugalcdep.2018.07.008.Peer-Reviewed Original ResearchConceptsPrescription opioid receiptPrescription opioidsMedical careOpioid receiptVeterans Health Administration primary careNonmedical useMultivariable Cox modelInfectious disease clinicProspective cohort studyProportional hazards regressionPrescription opioid medicationsPublic health problemSubstance use disordersMedication-related characteristicsOpioid therapyOpioid medicationsOpioid prescriptionsCohort studyDisease clinicMedian ageHazards regressionEligible participantsPrimary careRisk factorsIncidence rateRacial/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
Mistrust and Endorsement of Human Immunodeficiency Virus Conspiracy Theories Among Human Immunodeficiency Virus–Infected African American Veterans
Mattocks KM, Gibert C, Fiellin D, Fiellin LE, Jamison A, Brown A, Justice AC. Mistrust and Endorsement of Human Immunodeficiency Virus Conspiracy Theories Among Human Immunodeficiency Virus–Infected African American Veterans. Military Medicine 2017, 182: e2073-e2079. PMID: 29087885, DOI: 10.7205/milmed-d-17-00078.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAttitude to HealthBlack or African AmericanCohort StudiesEducational StatusFemaleHIV InfectionsHumansIncomeMaleMarital StatusMiddle AgedQualitative ResearchSurveys and QuestionnairesTrustUnited StatesUnited States Department of Veterans AffairsVeteransConceptsHuman immunodeficiency virusHIV conspiracy beliefsAfrican American veteransHealthcare providersHIV treatmentVeterans Health Administration (VHA) careAmerican veteransPoor health outcomesGovernment healthcare providersPhysician mistrustHIV careVHA hospitalsImmunodeficiency virusTreatment recommendationsMedical conditionsPotential cureHealth outcomesHIV conspiracy theoriesSemistructured interview formatVeterans' willingnessDisproportionate tollRacial disparitiesHealthcare systemVeterans' beliefsVeteransUtilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains
Rajeevan N, Niehoff KM, Charpentier P, Levin FL, Justice A, Brandt CA, Fried TR, Miller PL. Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains. BMC Medical Informatics And Decision Making 2017, 17: 111. PMID: 28724368, PMCID: PMC5517800, DOI: 10.1186/s12911-017-0501-x.Peer-Reviewed Original ResearchMeSH KeywordsDecision Support Systems, ClinicalElectronic Health RecordsHumansUnited StatesUnited States Department of Veterans AffairsConceptsClinical decision supportElectronic health recordsCDS systemsDecision supportPatient-specific clinical decision supportEHR environmentInformatics challengesWeb-based clinical decision supportHealth recordsPatient dataWeb technologiesData accessComputational infrastructureParticular architectureIssues/challengesDesign issuesSuch systemsInformatics methodsPowerful setData availabilityVeterans AdministrationInfrastructureVA electronic health recordClinical domainsUS Veterans AdministrationAssociation Between HIV Infection and the Risk of Heart Failure With Reduced Ejection Fraction and Preserved Ejection Fraction in the Antiretroviral Therapy Era: Results From the Veterans Aging Cohort Study
Freiberg MS, Chang CH, Skanderson M, Patterson OV, DuVall SL, Brandt CA, So-Armah KA, Vasan RS, Oursler KA, Gottdiener J, Gottlieb S, Leaf D, Rodriguez-Barradas M, Tracy RP, Gibert CL, Rimland D, Bedimo RJ, Brown ST, Goetz MB, Warner A, Crothers K, Tindle HA, Alcorn C, Bachmann JM, Justice AC, Butt AA. Association Between HIV Infection and the Risk of Heart Failure With Reduced Ejection Fraction and Preserved Ejection Fraction in the Antiretroviral Therapy Era: Results From the Veterans Aging Cohort Study. JAMA Cardiology 2017, 2: 536-546. PMID: 28384660, PMCID: PMC5541383, DOI: 10.1001/jamacardio.2017.0264.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnti-HIV AgentsCase-Control StudiesCD4 Lymphocyte CountCohort StudiesFemaleHeart FailureHIV InfectionsHumansMaleMiddle AgedProportional Hazards ModelsRisk AssessmentRisk FactorsRisk Reduction BehaviorStroke VolumeUnited StatesUnited States Department of Veterans AffairsVeteransViral LoadConceptsRisk of HFrEFHuman immunodeficiency virus (HIV) infectionVeterans Aging Cohort StudyAntiretroviral therapy eraRisk of HFpEFReduced ejection fractionCells/mm3Immunodeficiency virus infectionHeart failureAging Cohort StudyHIV infectionEjection fractionUninfected veteransTherapy eraCohort studyVirus infectionHIV-1 RNA viral loadTime-updated CD4 cell countHIV-specific factorsBaseline cardiovascular diseaseCD4 cell countRNA viral loadCopies/mLRace/ethnicityObservational cohort
2016
Estimating healthcare mobility in the Veterans Affairs Healthcare System
Wang KH, Goulet JL, Carroll CM, Skanderson M, Fodeh S, Erdos J, Womack JA, Abel EA, Bathulapalli H, Justice AC, Nunez-Smith M, Brandt CA. Estimating healthcare mobility in the Veterans Affairs Healthcare System. BMC Health Services Research 2016, 16: 609. PMID: 27769221, PMCID: PMC5075153, DOI: 10.1186/s12913-016-1841-4.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overDelivery of Health CareElectronic Health RecordsEmigration and ImmigrationFemaleHospitals, VeteransHumansMaleMental DisordersMiddle AgedPatient Acceptance of Health CareRetrospective StudiesUnited StatesUnited States Department of Veterans AffairsVeteransVeterans HealthYoung AdultConceptsHealthcare systemVeterans Health Administration electronic health recordsVeterans Affairs Healthcare SystemHealthcare mobilityRetrospective cohort studyHepatitis C virusOutcomes of careDifferent healthcare systemsDistinct healthcare systemsElectronic health recordsClinical characteristicsCohort studyHealthcare utilizationC virusSpecialty carePsychiatric disordersYounger veteransDisease preventionYounger agePopulation healthHealth recordsVeteransStatus changesCareYear periodThe musculoskeletal diagnosis cohort
Goulet JL, Kerns RD, Bair M, Becker W, Brennan P, Burgess DJ, Carroll CM, Dobscha S, Driscoll M, Fenton BT, Fraenkel L, Haskell S, Heapy A, Higgins D, Hoff RA, Hwang U, Justice AC, Piette JD, Sinnott P, Wandner L, Womack J, Brandt CA. The musculoskeletal diagnosis cohort. Pain 2016, 157: 1696-1703. PMID: 27023420, PMCID: PMC4949131, DOI: 10.1097/j.pain.0000000000000567.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAged, 80 and overDatabases, FactualFemaleHumansMaleMiddle AgedMusculoskeletal DiseasesMusculoskeletal PainPain ManagementSeverity of Illness IndexUnited StatesUnited States Department of Veterans AffairsVeteransConceptsMSD diagnosisMusculoskeletal disordersMSD cohortIndex dateVeterans Health Administration (VHA) careNumeric rating scale scoreICD-9-CM codesCohort inclusion criteriaNontraumatic joint disordersPain-related treatmentsMore outpatient visitsVeterans Health AdministrationMental health diagnosesRating Scale scoresHigher NRS scoresHealth services researchElectronic health recordsDiagnosis cohortSevere painInpatient visitsNRS scoresOutpatient visitsNeck disordersFirst diagnosisMean ageRisk of mortality and physiologic injury evident with lower alcohol exposure among HIV infected compared with uninfected men
Justice AC, McGinnis KA, Tate JP, Braithwaite RS, Bryant KJ, Cook RL, Edelman EJ, Fiellin LE, Freiberg MS, Gordon AJ, Kraemer KL, Marshall BD, Williams EC, Fiellin DA. Risk of mortality and physiologic injury evident with lower alcohol exposure among HIV infected compared with uninfected men. Drug And Alcohol Dependence 2016, 161: 95-103. PMID: 26861883, PMCID: PMC4792710, DOI: 10.1016/j.drugalcdep.2016.01.017.Peer-Reviewed Original ResearchMeSH KeywordsAdultAlcohol DrinkingHIV InfectionsHumansMaleMiddle AgedModels, StatisticalProportional Hazards ModelsUnited StatesUnited States Department of Veterans AffairsVeteransWounds and InjuriesConceptsVeterans Aging Cohort StudyRisk of mortalityAUDIT-C scoresUninfected individualsPhysiologic injuryAlcohol exposureUndetectable HIV-1 RNACox proportional hazards modelAlcohol useVACS Index scoreHepatitis C infectionAging Cohort StudyHIV-1 RNAProportional hazards modelAlcohol consumption limitsLow alcohol exposureAlcohol-related harmRace/ethnicityAntiretroviral therapyC infectionUninfected menCohort studyHIV statusHazards modelIndex score