2022
Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks
Kim M, Huffman JE, Justice A, Goethert I, Agasthya G, Danciu I. Identifying intragenic functional modules of genomic variations associated with cancer phenotypes by learning representation of association networks. BMC Medical Genomics 2022, 15: 151. PMID: 35794577, PMCID: PMC9258200, DOI: 10.1186/s12920-022-01298-6.Peer-Reviewed Original ResearchGenome-Wide Association StudyGenomicsHumansMalePhenotypeProstatic NeoplasmsReproducibility of Results
2020
Serious 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 ResearchConceptsMiddle-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 disorders
2019
Strengths and Limitations of the Veterans Aging Cohort Study Index as a Measure of Physiologic Frailty
Justice A, Tate J. Strengths and Limitations of the Veterans Aging Cohort Study Index as a Measure of Physiologic Frailty. AIDS Research And Human Retroviruses 2019, 35: 1023-1033. PMID: 31565954, PMCID: PMC7133454, DOI: 10.1089/aid.2019.0136.Peer-Reviewed Original ResearchMeSH KeywordsAgedAgingCohort StudiesFractures, BoneFrail ElderlyFrailtyHIV InfectionsHospitalizationHumansMiddle AgedMortalityReproducibility of ResultsVeteransConceptsVeterans Aging Cohort Study (VACS) IndexPhysiologic frailtyStudy indicesRoutine clinical laboratory testsClinical laboratory testsVACS IndexCause mortalityFragility fracturesHIV infectionFunctional declineCognitive declineSerious fallsFrailtyRelated outcomesEarly indicatorMortalityLaboratory testsIndexDeliriumHospitalizationPneumoniaHIVInfection
2018
Using DNA methylation to validate an electronic medical record phenotype for smoking
McGinnis KA, Justice AC, Tate JP, Kranzler HR, Tindle HA, Becker WC, Concato J, Gelernter J, Li B, Zhang X, Zhao H, Crothers K, Xu K, Group F. Using DNA methylation to validate an electronic medical record phenotype for smoking. Addiction Biology 2018, 24: 1056-1065. PMID: 30284751, PMCID: PMC6541538, DOI: 10.1111/adb.12670.Peer-Reviewed Original ResearchMeSH KeywordsDNA MethylationElectronic Health RecordsFemaleHumansMaleMiddle AgedPhenotypeReproducibility of ResultsSelf ReportSmokingVeteransConceptsVeterans Aging Cohort StudyAging Cohort StudyStrong associationDNA methylation sitesSmoking metricsCohort studyCurrent smokingSmoking statusSpearman correlation coefficientBiomarker cohortBlood samplesSmoking behaviorCriterion standardLogistic regressionSmokingSmoking phenotypesCurve analysisGroup assignmentText notesAssociationDescriptive statisticsPhenotypeCorrelation coefficientGenetic discoveriesPercent
2017
DNA methylation signatures of illicit drug injection and hepatitis C are associated with HIV frailty
Zhang X, Hu Y, Justice AC, Li B, Wang Z, Zhao H, Krystal JH, Xu K. DNA methylation signatures of illicit drug injection and hepatitis C are associated with HIV frailty. Nature Communications 2017, 8: 2243. PMID: 29269866, PMCID: PMC5740109, DOI: 10.1038/s41467-017-02326-1.Peer-Reviewed Original ResearchConceptsIllicit drug injectionHepatitis C infectionWhite blood cellsIllicit drug useCo-occurring conditionsMethylation signaturesDiscovery sampleC infectionHepatitis CEpigenome-wide association analysisLower frailtyDrug injectionHigh frailtyImmune functionHealth outcomesDrug useFrailtyDNA methylation signaturesBlood cellsHIVReplication sampleEpigenetic programmingSignificant CpGsEpigenetic effectsIndividuals
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
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 historyAgreement Between Electronic Medical Record-based and Self-administered Pain Numeric Rating Scale
Goulet JL, Brandt C, Crystal S, Fiellin DA, Gibert C, Gordon AJ, Kerns RD, Maisto S, Justice AC. Agreement Between Electronic Medical Record-based and Self-administered Pain Numeric Rating Scale. Medical Care 2013, 51: 245-250. PMID: 23222528, PMCID: PMC3572341, DOI: 10.1097/mlr.0b013e318277f1ad.Peer-Reviewed Original ResearchConceptsNumeric rating scaleElectronic medical recordsPain screeningMedical recordsPain numeric rating scaleRating ScaleModerate-severe painVeterans Affairs medical facilitiesPatients' electronic medical recordsMajor depressive disorderEMR dataQuality of careUnderestimation of painSample of veteransPosttraumatic stress disorderHealth care systemClinical characteristicsPatient characteristicsNRS scoresPain careDepressive disorderSurvey scoresPainLevel of agreementStress disorder
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
2008
Factor Structure of Leigh’s (1990) Alcohol Sex Expectancies Scale in Individuals in Treatment for HIV Disease
Maisto SA, McGinnis K, Cook R, Conigliaro J, Bryant K, Justice AC. Factor Structure of Leigh’s (1990) Alcohol Sex Expectancies Scale in Individuals in Treatment for HIV Disease. AIDS And Behavior 2008, 14: 174-180. PMID: 18791863, PMCID: PMC3032495, DOI: 10.1007/s10461-008-9457-2.Peer-Reviewed Original ResearchConceptsHIV groupHIV-positive adultsGeneral medicine clinicSexual risk reductionExcellent internal consistency reliabilityHIV diseaseMedicine clinicInternal consistency reliabilityInfectious diseasesFurther scale refinementHIVReduced inhibitionClinical samplesPrincipal component factor analysisRisk reductionConsistency reliabilityTreatmentDiseaseConstruct validityTotal sampleComponent factor analysisSexMenGroupFactor analysisAn 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
Incorporating quality of evidence into decision analytic modeling.
Braithwaite RS, Roberts MS, Justice AC. Incorporating quality of evidence into decision analytic modeling. Annals Of Internal Medicine 2007, 146: 133-41. PMID: 17227937, PMCID: PMC3460380, DOI: 10.7326/0003-4819-146-2-200701160-00008.Peer-Reviewed Original Research
2001
Development and validation of a self-completed HIV symptom index
Justice AC, Holmes W, Gifford AL, Rabeneck L, Zackin R, Sinclair G, Weissman S, Neidig J, Marcus C, Chesney M, Cohn SE, Wu AW, Committee F. Development and validation of a self-completed HIV symptom index. Journal Of Clinical Epidemiology 2001, 54: s77-s90. PMID: 11750213, DOI: 10.1016/s0895-4356(01)00449-8.Peer-Reviewed Original ResearchConceptsHIV Symptom IndexCD4 cell countSymptom IndexPatient-oriented researchProspective sampleClinical managementCleveland Veterans Affairs Medical CenterCell countDisease severityAIDS Clinical Trials GroupMental health summary scoresVeterans Affairs Medical CenterViral quantificationAdverse drug event reportingAdverse drug reportingExcellent completion ratesMultidrug antiretroviral therapyPatient-reported symptomsHealth-related qualityConvenience sampleClinical Trials GroupHealth summary scoresPhysician-assessed disease severityChi-square testAntiretroviral therapy
1999
Sensitivity, specificity, reliability, and clinical validity of provider-reported symptoms: a comparison with self-reported symptoms. Outcomes Committee of the AIDS Clinical Trials Group.
Justice AC, Rabeneck L, Hays RD, Wu AW, Bozzette SA. Sensitivity, specificity, reliability, and clinical validity of provider-reported symptoms: a comparison with self-reported symptoms. Outcomes Committee of the AIDS Clinical Trials Group. JAIDS Journal Of Acquired Immune Deficiency Syndromes 1999, 21: 126-33. PMID: 10360804.Peer-Reviewed Original ResearchConceptsFunctional statusSymptom SurveyTest-retest reliabilityGlobal qualitySeverity scoreClinical validitySymptom measurementAIDS Clinical Trials GroupAdvanced HIV infectionSelf-reported symptom severityClinical Trials GroupSeverity of symptomsSymptom survey dataSelf-reported symptomsHIV infectionTreatment armsSymptom assessmentOutcomes CommitteeTrial groupSecondary data analysisPoor test-retest reliabilityHIV researchSymptom dataSymptom severitySymptomsAssessing the generalizability of prognostic information.
Justice AC, Covinsky KE, Berlin JA. Assessing the generalizability of prognostic information. Annals Of Internal Medicine 1999, 130: 515-24. PMID: 10075620, DOI: 10.7326/0003-4819-130-6-199903160-00016.Peer-Reviewed Original Research
1996
The role of functional status in predicting inpatient mortality with AIDS: A comparison with current predictors
Justice A, Aiken L, Smith H, Turner B. The role of functional status in predicting inpatient mortality with AIDS: A comparison with current predictors. Journal Of Clinical Epidemiology 1996, 49: 193-201. PMID: 8606320, DOI: 10.1016/0895-4356(95)00546-3.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeActivities of Daily LivingAdultCD4 Lymphocyte CountDiscriminant AnalysisFemaleHealth StatusHospital MortalityHumansLength of StayMalePredictive Value of TestsPrognosisProportional Hazards ModelsReproducibility of ResultsSeverity of Illness IndexUnited StatesUnited States Agency for Healthcare Research and QualityConceptsCD4 cell countInpatient mortalityCD4 countFunctional statusCell countHighest AIDS incidenceIndependent prognostic rolePercent of patientsHazard of deathLength of staySeverity classification systemHospital stayOverall mortalityPrognostic roleMortality predictorsCox regressionPrognostic stagingAIDS hospitalizationsDaily livingSeverity systemsMortality ratePatientsNursing assistanceAIDS incidenceMortality