2024
Hypertension Control During the Coronavirus Disease 2019 Pandemic
Korves C, Peixoto A, Lucas B, Davies L, Weinberger D, Rentsch C, Vashi A, Young-Xu Y, King J, Asch S, Justice A. Hypertension Control During the Coronavirus Disease 2019 Pandemic. Medical Care 2024, 62: 196-204. PMID: 38284412, PMCID: PMC10922611, DOI: 10.1097/mlr.0000000000001971.Peer-Reviewed Original ResearchConceptsHypertension controlFollow-up intervalPrimary care clinic visitsFollow-up lengthVeterans Health AdministrationControlled hypertensionUncontrolled hypertensionGeneralized estimating equationsCohort of individualsStudy inclusion criteriaHealth careHealth AdministrationLonger follow-up intervalsBlood pressure measurementsAssessed associationsClinic visitsInclusion criteriaDecreased likelihoodEstimating equationsPrepandemic periodLow likelihoodCoronavirus diseaseFollow-upHypertensionIndividualsAdaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer
Justice A, Tate J, Howland F, Gaziano J, Kelley M, McMahon B, Haiman C, Wadia R, Madduri R, Danciu I, Leppert J, Leapman M, Thurtle D, Gnanapragasam V. Adaption and National Validation of a Tool for Predicting Mortality from Other Causes Among Men with Nonmetastatic Prostate Cancer. European Urology Oncology 2024, 7: 923-932. PMID: 38171965, DOI: 10.1016/j.euo.2023.11.023.Peer-Reviewed Original ResearchVeterans Health AdministrationCharlson Comorbidity IndexNon-prostate cancer mortalityProstate cancer mortalityNonmetastatic prostate cancerComorbidity indexCancer mortalityProvider estimationProstate cancerHealth AdministrationUS Veterans Health AdministrationElectronic health record-based toolsYear of diagnosisRisk of deathObservational cohortMedian ageNonmetastatic cancerPredicting MortalityC-statisticHispanic ethnicityTreatment groupsMortalityCancerNational validationAge
2022
Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations
Chen F, Darst BF, Madduri RK, Rodriguez AA, Sheng X, Rentsch CT, Andrews C, Tang W, Kibel AS, Plym A, Cho K, Jalloh M, Gueye SM, Niang L, Ogunbiyi OJ, Popoola O, Adebiyi AO, Aisuodionoe-Shadrach OI, Ajibola HO, Jamda MA, Oluwole OP, Nwegbu M, Adusei B, Mante S, Darkwa-Abrahams A, Mensah JE, Adjei AA, Diop H, Lachance J, Rebbeck TR, Ambs S, Gaziano JM, Justice AC, Conti DV, Haiman CA. Validation of a multi-ancestry polygenic risk score and age-specific risks of prostate cancer: A meta-analysis within diverse populations. ELife 2022, 11: e78304. PMID: 35801699, PMCID: PMC9322982, DOI: 10.7554/elife.78304.Peer-Reviewed Original ResearchConceptsProstate cancer riskPolygenic risk scoresProstate cancerCancer riskOdds ratioMillion Veteran ProgramRisk scoreRisk stratification toolAge-specific absolute risksAfrican ancestry menCancer odds ratiosVeterans Health AdministrationCase-control studyNonaggressive prostate cancerProstate Cancer FoundationAge-specific riskAssociation of PRSPRS categoriesRisk-stratified screeningVeteran ProgramNational Cancer InstituteEuropean ancestry menStratification toolAbsolute riskEffect modificationPredicting counterfactual risks under hypothetical treatment strategies: an application to HIV
Dickerman BA, Dahabreh IJ, Cantos KV, Logan RW, Lodi S, Rentsch CT, Justice AC, Hernán MA. Predicting counterfactual risks under hypothetical treatment strategies: an application to HIV. European Journal Of Epidemiology 2022, 37: 367-376. PMID: 35190946, PMCID: PMC9189026, DOI: 10.1007/s10654-022-00855-8.Peer-Reviewed Original Research
2020
Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index
King JT, Yoon JS, Rentsch CT, Tate JP, Park LS, Kidwai-Khan F, Skanderson M, Hauser RG, Jacobson DA, Erdos J, Cho K, Ramoni R, Gagnon DR, Justice AC. Development and validation of a 30-day mortality index based on pre-existing medical administrative data from 13,323 COVID-19 patients: The Veterans Health Administration COVID-19 (VACO) Index. PLOS ONE 2020, 15: e0241825. PMID: 33175863, PMCID: PMC7657526, DOI: 10.1371/journal.pone.0241825.Peer-Reviewed Original ResearchConceptsCharlson Comorbidity IndexVeterans Health AdministrationVACO IndexValidation cohortMedical administrative dataDevelopment cohortSARS-CoV-2 testing resultsMortality indexICD-10 diagnosis codesUS Veterans Health AdministrationSARS-CoV-2 infectionPre-existing medical conditionsCOVID-19 mortality riskPeripheral vascular diseaseCOVID-19 patientsCOVID-19 infectionCOVID-19 mortalitySARS-CoV-2Administrative dataLogistic regression modelsRace/ethnicityCohort subgroupsComorbidity indexOverall mortalityComorbid conditionsHigh concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV
McGinnis KA, Justice AC, Bailin S, Wellons M, Freiberg M, Koethe JR. High concordance between chart review adjudication and electronic medical record data to identify prevalent and incident diabetes mellitus among persons with and without HIV. Pharmacoepidemiology And Drug Safety 2020, 29: 1432-1439. PMID: 33006179, PMCID: PMC7810212, DOI: 10.1002/pds.5111.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationElectronic medical recordsChart reviewVeterans Aging Cohort Study Biomarker CohortElectronic medical record dataPhysician chart reviewHIV-negative participantsIncident diabetes mellitusICD-9 codesMedical record dataIndication of diabetesPhysician adjudicationIncident diabetesDiabetes mellitusHIV infectionBiomarker cohortHIV statusDiabetes prevalenceMedical recordsMedication recordsLaboratory valuesEpidemiologic studiesDiabetes diagnosisDiagnostic criteriaDiabetesSerious 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 disordersAssociation of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults
Khan MR, Young KE, Caniglia EC, Fiellin DA, Maisto SA, Marshall BDL, Edelman EJ, Gaither JR, Chichetto NE, Tate J, Bryant KJ, Severe M, Stevens ER, Justice A, Braithwaite SR. Association of Alcohol Screening Scores With Adverse Mental Health Conditions and Substance Use Among US Adults. JAMA Network Open 2020, 3: e200895. PMID: 32163167, PMCID: PMC7068229, DOI: 10.1001/jamanetworkopen.2020.0895.Peer-Reviewed Original ResearchConceptsAlcohol Use Disorders Identification TestAlcohol Use Disorders Identification Test-ConsumptionAUDIT-C scoresUse of tobaccoAlcohol screeningCohort studyInjection drugsCocaine useVeterans Aging Cohort StudyVeterans Health Administration facilitiesStimulant useAlcohol useAUDIT scoresAging Cohort StudyLongitudinal cohort studyVeterans Health AdministrationAdverse mental health conditionsSite of careFull Alcohol Use Disorders Identification TestMental health conditionsAlcohol Screening ScoresSelf-reported symptomsSymptoms of depressionDisorders Identification TestUse screening tools
2019
HIV Disease Severity Is Sensitive to Temporal Changes in Alcohol Use: A National Study of VA Patients With HIV.
Williams EC, McGinnis KA, Tate JP, Matson TE, Rubinsky AD, Bobb JF, Lapham GT, Edelman EJ, Catz SL, Satre DD, Bryant KJ, Marshall BDL, Kraemer KL, Bensley KM, Richards JE, Skanderson M, Justice AC, Fiellin DA, Bradley KA. HIV Disease Severity Is Sensitive to Temporal Changes in Alcohol Use: A National Study of VA Patients With HIV. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 81: 448-455. PMID: 30973541, PMCID: PMC6594884, DOI: 10.1097/qai.0000000000002049.Peer-Reviewed Original ResearchConceptsVACS Index 2.0HIV disease severityVeterans Aging Cohort StudyAlcohol useDisease severityLow-level alcohol useNational Veterans Health AdministrationChange scoresAging Cohort StudyVeterans Health AdministrationAUDIT-C screensAUDIT-CsCohort studyHIV severityVA patientsHealth AdministrationSeverity measuresSeverityHIVPWHMultiple mechanismsNational studyScoresNational sampleDaysMedical 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
Impact of HIV on Clinical Presentation and Outcomes of Individuals with Multiple Myeloma
Giri S, Wong E, Rose M, Wadia R, Park L, Justice A, Neparidze N. Impact of HIV on Clinical Presentation and Outcomes of Individuals with Multiple Myeloma. Blood 2018, 132: 3162. DOI: 10.1182/blood-2018-99-115633.Peer-Reviewed Original ResearchVeterans Aging Cohort StudyMultiple myelomaEM diseaseUninfected patientsClinical characteristicsLytic lesionsOutcome of MMRisk of MMImpact of HAARTRole of HAARTStage 3 diseaseSymptomatic multiple myelomaTime of diagnosisAggressive clinical courseAging Cohort StudyClinical outcome dataCourse of diseasePlasma cell disordersDurie-Salmon stageVeterans Health AdministrationImpact of HIVSignificant differencesStage 1High rateStage 2
2016
The 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 ResearchConceptsMSD 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 age
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 survivalPredicting Risk of End-Stage Liver Disease in Antiretroviral-Treated Human Immunodeficiency Virus/Hepatitis C Virus-Coinfected Patients
Re V, Kallan MJ, Tate JP, Lim JK, Goetz MB, Klein MB, Rimland D, Rodriguez-Barradas MC, Butt AA, Gibert CL, Brown ST, Park LS, Dubrow R, Reddy KR, Kostman JR, Justice AC, Localio AR. Predicting Risk of End-Stage Liver Disease in Antiretroviral-Treated Human Immunodeficiency Virus/Hepatitis C Virus-Coinfected Patients. Open Forum Infectious Diseases 2015, 2: ofv109. PMID: 26284259, PMCID: PMC4536329, DOI: 10.1093/ofid/ofv109.Peer-Reviewed Original ResearchEnd-stage liver diseaseHIV/HCV-coinfected patientsRisk of ESLDHIV/HCV patientsHuman immunodeficiency virusFIB-4Antiretroviral therapyESLD riskHCV patientsLaboratory variablesLiver diseaseHuman immunodeficiency virus/hepatitis C virus‐coinfected patientsHepatitis C virus-coinfected patientsLiver-related deathRetrospective cohort studyRisk factor modificationPlatelet ratio indexDecision curve analysisVeterans Health AdministrationHCV treatment decisionsHepatic decompensationHCV treatmentCohort studyCox regressionImmunodeficiency virusFood Insecurity and Health: Data from the Veterans Aging Cohort Study
Wang EA, McGinnis KA, Goulet J, Bryant K, Gibert C, Leaf DA, Mattocks K, Fiellin LE, Vogenthaler N, Justice AC, Fiellin DA. Food Insecurity and Health: Data from the Veterans Aging Cohort Study. Public Health Reports 2015, 130: 261-268. PMID: 25931630, PMCID: PMC4388224, DOI: 10.1177/003335491513000313.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyVeterans Health AdministrationAging Cohort StudyCohort studyWorse controlMedical conditionsControl of hypertensionIndependent risk factorMultivariable logistic regressionTest of trendFood insecureFood insecurityRisk factorsHealth AdministrationPast monthLogistic regressionRecent homelessnessHealth careHypertensionVeteransHIVDepressionAfrican AmericansMarijuana usePrevalence
2014
Hepatic decompensation in antiretroviral-treated patients co-infected with HIV and hepatitis C virus compared with hepatitis C virus-monoinfected patients: a cohort study.
Lo Re V, Kallan MJ, Tate JP, Localio AR, Lim JK, Goetz MB, Klein MB, Rimland D, Rodriguez-Barradas MC, Butt AA, Gibert CL, Brown ST, Park L, Dubrow R, Reddy KR, Kostman JR, Strom BL, Justice AC. Hepatic decompensation in antiretroviral-treated patients co-infected with HIV and hepatitis C virus compared with hepatitis C virus-monoinfected patients: a cohort study. Annals Of Internal Medicine 2014, 160: 369-79. PMID: 24723077, PMCID: PMC4254786, DOI: 10.7326/m13-1829.Peer-Reviewed Original ResearchMeSH KeywordsAdultAnti-Retroviral AgentsAscitesBacterial InfectionsCarcinoma, HepatocellularCoinfectionEsophageal and Gastric VaricesFemaleGastrointestinal HemorrhageHepatitis C, ChronicHIVHIV InfectionsHumansIncidenceLiver NeoplasmsMaleMedication AdherenceMiddle AgedPeritonitisRetrospective StudiesRNA, ViralTreatment OutcomeViral LoadConceptsCo-infected patientsHepatitis C virusHepatic decompensationAntiretroviral-treated patientsCohort studyNonblack raceC virusHepatitis C virus-monoinfected patientsChronic hepatitis C virusHigh rateAntiretroviral therapy eraDetectable HCV RNAIncident hepatic decompensationBaseline hemoglobin levelRetrospective cohort studySpontaneous bacterial peritonitisAdvanced hepatic fibrosisAdvanced liver fibrosisVeterans Health AdministrationDiagnosis of ascitesRate of decompensationTherapy eraHIV RNAVariceal hemorrhageHCV RNA
2012
Disparities in Rates of Spine Surgery for Degenerative Spine Disease Between HIV-Infected and Uninfected Veterans
King JT, Gordon AJ, Perkal MF, Crystal S, Rosenthal RA, Rodriguez-Barradas MC, Butt AA, Gibert CL, Rimland D, Simberkoff MS, Justice AC. Disparities in Rates of Spine Surgery for Degenerative Spine Disease Between HIV-Infected and Uninfected Veterans. Spine 2012, 37: 612-622. PMID: 21697770, PMCID: PMC4507821, DOI: 10.1097/brs.0b013e318228f32d.Peer-Reviewed Original ResearchConceptsDegenerative spine diseaseVeterans Health AdministrationSpine diseaseSpine surgeryHealth AdministrationUninfected patientsCommon surgical sitesNinth Revision procedureSpine surgery ratesSurgical referral patternsCombination antiretroviral therapyHIV infection statusViral load levelsRisk-benefit ratioMultivariate Poisson regressionImpact of HIVComparator patientsUninfected veteransAntiretroviral therapyHIV infectionPrimary outcomeSpinal decompressionReferral patternsSurgery ratesDiagnosis codes
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