2024
Adaption 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
Survival analysis of localized prostate cancer with deep learning
Dai X, Park JH, Yoo S, D’Imperio N, McMahon BH, Rentsch CT, Tate JP, Justice AC. Survival analysis of localized prostate cancer with deep learning. Scientific Reports 2022, 12: 17821. PMID: 36280773, PMCID: PMC9592586, DOI: 10.1038/s41598-022-22118-y.Peer-Reviewed Original ResearchConceptsProstate cancer mortalityComposite outcomeCancer mortalityRisk predictionTime-dependent c-statisticsProstate-specific antigen (PSA) testLarge integrated healthcare systemLocalized prostate cancerElectronic health record dataClinical decision-making processProstate cancer patientsIntegrated healthcare systemProstate Cancer Risk PredictionHealth record dataLarge-scale electronic health record dataRisk prediction modelCancer risk predictionAntigen testC-statisticCancer patientsProstate cancerClinical decision systemSurvival analysisVeterans AffairsDeep learningEpigenetic Age Acceleration Markers Are Associated With Physiologic Frailty and All-Cause Mortality in People With Human Immunodeficiency Virus
Oursler KK, Marconi VC, Wang Z, Xu K, Montano M, So-Armah K, Justice AC, Sun YV. Epigenetic Age Acceleration Markers Are Associated With Physiologic Frailty and All-Cause Mortality in People With Human Immunodeficiency Virus. Clinical Infectious Diseases 2022, 76: e638-e644. PMID: 35970820, PMCID: PMC10169393, DOI: 10.1093/cid/ciac656.Peer-Reviewed Original ResearchConceptsHuman immunodeficiency virusPhysiologic frailtyVACS IndexCause mortalityMortality discriminationImmunodeficiency virusAge accelerationEpigenetic age accelerationVeterans Aging Cohort Study (VACS) IndexWhite blood cell samplesVACS Index 2.0VACS Index scoreNon-Hispanic blacksIntrinsic epigenetic age accelerationExtrinsic epigenetic age accelerationEpigenome-wide DNA methylationBlood cell samplesHazard ratioOne-year increaseCox regressionMean ageC-statisticIndex scoreMortalityStudy indices
2020
Model selection applied to 750 outpatient ICD-9 codes identifies hazards important for all-cause cancer mortality in 2 million veterans with 14 years of follow-up.
McMahon B, Dhaubhadel S, Hengartner N, Danciu I, Janet T, Justice A. Model selection applied to 750 outpatient ICD-9 codes identifies hazards important for all-cause cancer mortality in 2 million veterans with 14 years of follow-up. Journal Of Clinical Oncology 2020, 38: 2053-2053. DOI: 10.1200/jco.2020.38.15_suppl.2053.Peer-Reviewed Original ResearchMedical recordsCause cancer mortalityVeterans' medical recordsChronic airway obstructionCongestive heart failureColon cancer screeningTobacco use disorderPrevalent codesAirway obstructionHeart failureC-statisticCancer mortalityCancer screeningCommon cancerICD9 codesUse disordersSubsequent mortalityClinical practiceColon cancerICD codesMortalityCancer treatmentVeterans AdministrationCancerAdministration
2019
Improved discrimination of mortality with Veterans Aging Cohort Study (VACS) Index 2.0 in HIV-positive individuals
Tate JP, Sterne JAC, Justice AC. Improved discrimination of mortality with Veterans Aging Cohort Study (VACS) Index 2.0 in HIV-positive individuals. AIDS 2019, Publish Ahead of Print: &na;. PMID: 30649058, PMCID: PMC6749990, DOI: 10.1097/qad.0000000000002140.Peer-Reviewed Original ResearchConceptsWhite blood countC-statisticBlood countVeterans Aging Cohort Study (VACS) IndexAntiretroviral Therapy Cohort CollaborationDiscrimination of mortalityVACS Index 2.0Antiretroviral therapy initiationCD4 cell countHIV-positive populationHarrell's C-statisticHIV-1 RNAHIV-positive individualsKaplan-Meier plotsCohort CollaborationNadir CD4VAC patientsAntiretroviral therapyCause mortalityCD8 ratioTherapy initiationViral suppressionGeneral healthExcess mortalityLaboratory values
2017
White Blood Count, Albumin, and BMI Enhance VACS Index Prognostic Model, but Nadir CD4 and CD8 Metrics Do Not
Tate J, Brown S, Gibert C, Goetz M, Marconi V, Oursler K, Rimland D, Rodriguez-Barradas M, Justice A. White Blood Count, Albumin, and BMI Enhance VACS Index Prognostic Model, but Nadir CD4 and CD8 Metrics Do Not. Open Forum Infectious Diseases 2017, 4: s210-s210. PMCID: PMC5631891, DOI: 10.1093/ofid/ofx163.415.Peer-Reviewed Original ResearchWhite blood countAbsolute neutrophil countBody mass indexNadir CD4VACS IndexBlood countC-statisticVeterans Aging Cohort Study (VACS) IndexCD4/CD8 ratioLong-term viral suppressionKaplan-Meier plotsAvailable clinical dataDeciles of riskART initiationCD8 ratioViral suppressionNeutrophil countMass indexVA careClinical managementDisease burdenClinical dataExternal cohortLaboratory valuesRisk score
2014
An Adapted Frailty-Related Phenotype and the VACS Index as Predictors of Hospitalization and Mortality in HIV-Infected and Uninfected Individuals
Akgün KM, Tate JP, Crothers K, Crystal S, Leaf DA, Womack J, Brown TT, Justice AC, Oursler KK. An Adapted Frailty-Related Phenotype and the VACS Index as Predictors of Hospitalization and Mortality in HIV-Infected and Uninfected Individuals. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2014, 67: 397-404. PMID: 25202921, PMCID: PMC4213242, DOI: 10.1097/qai.0000000000000341.Peer-Reviewed Original ResearchConceptsHIV-1 RNAUndetectable HIV-1 RNAVACS IndexUninfected individualsHazard ratioC-statisticFrailty-related phenotypePredictors of hospitalizationCohort Study participantsLow physical activityAdverse health outcomesPhysiologic reserveGeriatric syndromesFrailty stateRisk factorsHospitalizationPhysical activityMortality riskHIVHealth behaviorsHealth outcomesSurvival analysisSystem biomarkersStudy participantsMortalityThe VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study
Brown ST, Tate JP, Kyriakides TC, Kirkwood KA, Holodniy M, Goulet JL, Angus BJ, Cameron DW, Justice AC, . The VACS Index Accurately Predicts Mortality and Treatment Response among Multi-Drug Resistant HIV Infected Patients Participating in the Options in Management with Antiretrovirals (OPTIMA) Study. PLOS ONE 2014, 9: e92606. PMID: 24667813, PMCID: PMC3965438, DOI: 10.1371/journal.pone.0092606.Peer-Reviewed Original ResearchConceptsVACS IndexCombination antiretroviral therapyNet reclassification improvementHIV biomarkersCause mortalityC-statisticTreatment interventionsMulti-drug resistant HIVHarrel's c-statisticsRespective hazard ratiosKaplan-Meier estimatesProportional hazards modelImproved scoresAntiretroviral studiesAntiretroviral therapyHazard ratioResistant HIVReclassification improvementRestricted IndexTreatment responseStudy interventionRisk scoreHazards modelVAC indexMortality
2013
Predictive Accuracy of the Veterans Aging Cohort Study Index for Mortality With HIV Infection
Justice AC, Modur SP, Tate JP, Althoff KN, Jacobson LP, Gebo KA, Kitahata MM, Horberg MA, Brooks JT, Buchacz K, Rourke SB, Rachlis A, Napravnik S, Eron J, Willig JH, Moore R, Kirk GD, Bosch R, Rodriguez B, Hogg RS, Thorne J, Goedert JJ, Klein M, Gill J, Deeks S, Sterling TR, Anastos K, Gange SJ. Predictive Accuracy of the Veterans Aging Cohort Study Index for Mortality With HIV Infection. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2013, 62: 149-163. PMID: 23187941, PMCID: PMC3619393, DOI: 10.1097/qai.0b013e31827df36c.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlanine TransaminaseAnti-Retroviral AgentsAspartate AminotransferasesBiomarkersCD4 Lymphocyte CountCohort StudiesCreatinineFemaleHemoglobinsHepatitis CHIV InfectionsHIV-1HumansKaplan-Meier EstimateMaleMiddle AgedNorth AmericaPlatelet CountPredictive Value of TestsRisk AssessmentRNA, ViralSex FactorsConceptsNet reclassification improvementVeterans Aging Cohort Study (VACS) IndexVeterans Affairs Healthcare SystemAntiretroviral therapyPatient subgroupsNorth American AIDS Cohort CollaborationHIV-1 RNA levelsStudy indicesObserved mortalityPrior ART exposureVACS Index scoreHIV-1 RNAImportant patient subgroupsRisk of mortalityHealthcare systemDiverse patient subgroupsCohort CollaborationHIV biomarkersVACS IndexHIV infectionOrgan injuryParametric survival modelsART exposureReclassification improvementC-statistic
2012
Does an Index Composed of Clinical Data Reflect Effects of Inflammation, Coagulation, and Monocyte Activation on Mortality Among Those Aging With HIV?
Justice AC, Freiberg MS, Tracy R, Kuller L, Tate JP, Goetz MB, Fiellin DA, Vanasse GJ, Butt AA, Rodriguez-Barradas MC, Gibert C, Oursler KA, Deeks SG, Bryant K, Team T. Does an Index Composed of Clinical Data Reflect Effects of Inflammation, Coagulation, and Monocyte Activation on Mortality Among Those Aging With HIV? Clinical Infectious Diseases 2012, 54: 984-994. PMID: 22337823, PMCID: PMC3297653, DOI: 10.1093/cid/cir989.Peer-Reviewed Original ResearchConceptsHIV-1 RNANet reclassification improvementHepatitis C virusD-dimerIL-6VACS IndexMonocyte activationVeterans Aging Cohort Study (VACS) IndexHuman immunodeficiency virus type 1 (HIV-1) RNAFIB-4 indexGlomerular filtration rateMarkers of liverRoutine clinical variablesCopies/mLPrediction of mortalityEffects of inflammationHCV statusAntiretroviral therapyCD4 countRenal injuryReclassification improvementClinical variablesC-statisticC virusFiltration rate