2024
Association of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program
Steele L, Quaden R, Ahmed S, Harrington K, Duong L, Ko J, Gifford E, Polimanti R, Gaziano J, Aslan M, Helmer D, Hauser E. Association of deployment characteristics and exposures with persistent ill health among 1990-1991 Gulf War veterans in the VA Million Veteran Program. Environmental Health 2024, 23: 92. PMID: 39456027, PMCID: PMC11520114, DOI: 10.1186/s12940-024-01118-7.Peer-Reviewed Original ResearchConceptsMillion Veteran ProgramVA Million Veteran ProgramGulf War veteransIll healthHealth outcomesGulf War IllnessVeteran ProgramMilitary characteristicsWar veteransChronic ill healthCenters for Disease Control and Prevention criteriaGulf War serviceEvaluation of genetic factorsGulf War exposureVeterans' healthPopulation of U.S.Pyridostigmine bromide pillsHealthcare providersWartime exposuresGulf War deploymentResultsThe final cohortVeteran cohortDeployment exposuresHealth problemsVeteransDevelopment of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023
Bui D, Bajema K, Huang Y, Yan L, Li Y, Rajeevan N, Berry K, Rowneki M, Argraves S, Hynes D, Huang G, Aslan M, Ioannou G. Development of a prediction model for 30-day COVID-19 hospitalization and death in a national cohort of Veterans Health Administration patients–March 2022—April 2023. PLOS ONE 2024, 19: e0307235. PMID: 39365775, PMCID: PMC11451987, DOI: 10.1371/journal.pone.0307235.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCOVID-19 hospitalizationArea under the receiver operating characteristic curveComprehensive electronic health recordNational cohortElectronic health recordsAll-cause mortalityNational cohort of patientsFull modelHealth recordsHealth AdministrationReceipt of COVID-19 vaccineMortality riskEpidemiology of COVID-19COVID-19High-risk patientsBrier scoreCohort of patientsAnti-SARS-CoV-2 treatmentCOVID-19 vaccineReceiver operating characteristic curveCalibration interceptHospitalAntiviral treatmentAvailability of effective vaccinesT32. GENETIC ARCHITECTURE OF BIPOLAR SPECTRUM DISORDERS IN NEARLY 102,000 LATINO ANCESTRY INDIVIDUALS
Bigdeli T, Voloudakis G, Chatzinakos C, Barr P, Gorman B, Peterson R, Pyarajan S, Huang G, Gaziano M, Pato M, Fanous A, Pato C, Aslan M, Roussos P, Harvey P. T32. GENETIC ARCHITECTURE OF BIPOLAR SPECTRUM DISORDERS IN NEARLY 102,000 LATINO ANCESTRY INDIVIDUALS. European Neuropsychopharmacology 2024, 87: 173-174. DOI: 10.1016/j.euroneuro.2024.08.342.Peer-Reviewed Original ResearchGenome-wide association studiesPolygenic risk scoresEuropean ancestryMillion Veteran ProgramAdmixed AmericansGenomic Psychiatry CohortGenome-wide association study analysisGenome-wide significant signalsMulti-ancestry meta-analysisLocal ancestry inferenceStatistical fine-mappingBipolar disorderCooperative Studies ProgramGenomic structural equation modelingLatino individualsAncestry inferencePRS-CSxTrans-diagnostic approachBipolar spectrum disordersEast Asian populationsFine-mappingAssociation studiesGWAS statisticsPsychiatric genetic researchAncestry individualsW15. A MULTIVARIATE GENOMIC INVESTIGATION OF THE EXTERNALIZING SPECTRUM AND SUICIDE RISK
Barr P, Bigdeli T, Sanchez-Roige S, Mallard T, Ashley-Koch A, Dick D, Harden P, Hauser B, Qin X, Aslan M, Harvey P, Beckham J, Kimbrel N. W15. A MULTIVARIATE GENOMIC INVESTIGATION OF THE EXTERNALIZING SPECTRUM AND SUICIDE RISK. European Neuropsychopharmacology 2024, 87: 108. DOI: 10.1016/j.euroneuro.2024.08.224.Peer-Reviewed Original ResearchSuicide attemptsSuicidal ideationPolygenic scoresAssociated with suicide attemptsGenomic structural equation modelingLifetime suicide riskRisk factors associated with suicideExternalizing polygenic scoresLifetime suicide attemptsSubstance use disordersFactors associated with suicideSubstance-use behaviorsExternalizing spectrumExternalizing disordersBipolar disorderPsychiatric diagnosisSuicide riskStructural equation modelingResults Preliminary resultsSuicidal phenotypeGenome-wide association studiesPersonality indicesIdeationSuicideCohort of veteransAssociation of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy
Lipska K, Oladele C, Zawack K, Gulanski B, Mutalik P, Reaven P, Lynch J, Lee K, Shih M, Lee J, Aslan M. Association of Race and Ethnicity with Prescriptions for Continuous Glucose Monitoring Systems Among a National Sample of Veterans with Diabetes on Insulin Therapy. Diabetes Technology & Therapeutics 2024 PMID: 39177775, DOI: 10.1089/dia.2024.0152.Peer-Reviewed Original ResearchVeterans with diabetesAssociation of raceCross-sectional analysis of dataU.S. Veterans Health AdministrationNational sample of veteransNational sampleInsulin therapyVeterans Health AdministrationSystem-level factorsSample of veteransNon-Hispanic patientsSelf-reported raceContinuous glucose monitoringCross-sectional analysisContinuous glucose monitoring useRate of prescriptionMultivariate mixed-effects modelAfrican American patientsLatino patientsHealth AdministrationAlaska NativesType 2 diabetesPercentage of patientsSignificant disparitiesMixed-effects modelsIdentifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation
Yan L, Bui D, Li Y, Rajeevan N, Rowneki M, Berry K, Argraves S, Huang Y, Hynes D, Cunningham F, Huang G, Aslan M, Ioannou G, Bajema K. Identifying Veterans Who Benefit From Nirmatrelvir-Ritonavir: A Target Trial Emulation. Clinical Infectious Diseases 2024, 79: 643-651. PMID: 38864601, DOI: 10.1093/cid/ciae202.Peer-Reviewed Original ResearchRisk quartileVeterans Health AdministrationLowest risk quartileHighest risk quartileTarget trial emulationRisk prediction modelUntreated veteransRisk of deathOlder veteransYounger veteransHealth AdministrationTrial emulationMeasure incidenceNirmatrelvir-ritonavirVeteransHospitalUntreated participantsCOVID-19QuartileRiskSevere coronavirus disease 2019ParticipantsPersonsCoronavirus disease 2019Severe COVID-1932. Comparative Genetic Architectures of Schizophrenia in Admixed African American and European Populations
Bigdeli T, Chatzinakos C, Voloudakis G, Gorman B, Barr P, Genovese G, Burstein D, Braff D, Gaziano J, Muralidhar S, Huang G, Pyarajan S, 572 C, Program M, Aslan M, Harvey P, Roussos P. 32. Comparative Genetic Architectures of Schizophrenia in Admixed African American and European Populations. Biological Psychiatry 2024, 95: s88. DOI: 10.1016/j.biopsych.2024.02.210.Peer-Reviewed Original ResearchPredicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning
Cogill S, Nallamshetty S, Fullenkamp N, Heberer K, Lynch J, Lee K, Aslan M, Shih M, Lee J. Predicting clinical outcomes of SARS-CoV-2 infection during the Omicron wave using machine learning. PLOS ONE 2024, 19: e0290221. PMID: 38662748, PMCID: PMC11045098, DOI: 10.1371/journal.pone.0290221.Peer-Reviewed Original ResearchConceptsHigh-risk groupSARS-CoV-2 infectionAnticoagulant useAdverse outcomesPredictor of adverse outcomesHigher risk of adverse outcomesLower body mass indexRisk of adverse outcomesVaccination of high-risk groupsOral anticoagulant useOutcome of SARS-CoV-2 infectionRetrospective longitudinal observational studySARS-CoV-2U.S. Veterans Health AdministrationClinical outcomes of SARS-CoV-2 infectionIdentification of patientsBody mass indexVeterans Health AdministrationPredictors of hospitalizationEscalation of careLongitudinal observational studyClinical outcomesOmicron SARS-CoV-2 variantSARS-CoV-2 variantsUnvaccinated patientsCorrelates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder
Bigdeli T, Barr P, Rajeevan N, Graham D, Li Y, Meyers J, Gorman B, Peterson R, Sayward F, Radhakrishnan K, Natarajan S, Nielsen D, Wilkinson A, Malhotra A, Zhao H, Brophy M, Shi Y, O’Leary T, Gleason T, Przygodzki R, Pyarajan S, Muralidhar S, Gaziano J, Huang G, Concato J, Siever L, DeLisi L, Kimbrel N, Beckham J, Swann A, Kosten T, Fanous A, Aslan M, Harvey P. Correlates of suicidal behaviors and genetic risk among United States veterans with schizophrenia or bipolar I disorder. Molecular Psychiatry 2024, 29: 2399-2407. PMID: 38491344, DOI: 10.1038/s41380-024-02472-1.Peer-Reviewed Original ResearchBipolar I disorderSuicidal behaviorElectronic health recordsPolygenic scoresVeterans Health AdministrationSelf-reported SBColumbia-Suicide Severity Rating ScaleBipolar I disorder patientsCorrelates of suicidal behaviorClasses of psychotropic medicationsSelf-injurious behaviorHealth recordsSeverity Rating ScaleDiagnosed mental illnessAssociated with clinical variablesElectronic health record codesEHR domainDepressive disorderC-SSRSLifetime diagnosisSubstance-relatedPsychotropic medicationsSuicidal ideationExternalizing behaviorsSuicide attemptsCorrelates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort
Barr P, Bigdeli T, Meyers J, Peterson R, Sanchez-Roige S, Mallard T, Dick D, Harden K, Wilkinson A, Graham D, Nielsen D, Swann A, Lipsky R, Kosten T, Aslan M, Harvey P, Kimbrel N, Beckham J, Aslan M, Antonelli M, de Asis M, Bauer M, Brophy M, Concato J, Cunningham F, Freedman R, Gaziano M, Gleason T, Harvey P, Huang G, Kelsoe J, Kosten T, Lehner T, Lohr J, Marder S, Miller P, O Leary T, Patterson T, Peduzzi P, Przygodski R, Siever L, Sklar P, Strakowski S, Zhao H, Fanous A, Farwell W, Malhorta A, Mane S, Palacios P, Bigdeli T, Corsey M, Zaluda L, Johnson J, Sueiro M, Cavaliere D, Jeanpaul V, Maffucci A, Mancini L, Deen J, Muldoon G, Whitbourne S, Canive J, Adamson L, Calais L, Fuldauer G, Kushner R, Toney G, Lackey M, Mank A, Mahdavi N, Villarreal G, Muly E, Amin F, Dent M, Wold J, Fischer B, Elliott A, Felix C, Gill G, Parker P, Logan C, McAlpine J, DeLisi L, Reece S, Hammer M, Agbor-Tabie D, Goodson W, Aslam M, Grainger M, Richtand N, Rybalsky A, Al Jurdi R, Boeckman E, Natividad T, Smith D, Stewart M, Torres S, Zhao Z, Mayeda A, Green A, Hofstetter J, Ngombu S, Scott M, Strasburger A, Sumner J, Paschall G, Mucciarelli J, Owen R, Theus S, Tompkins D, Potkin S, Reist C, Novin M, Khalaghizadeh S, Douyon R, Kumar N, Martinez B, Sponheim S, Bender T, Lucas H, Lyon A, Marggraf M, Sorensen L, Surerus C, Sison C, Amato J, Johnson D, Pagan-Howard N, Adler L, Alerpin S, Leon T, Mattocks K, Araeva N, Sullivan J, Suppes T, Bratcher K, Drag L, Fischer E, Fujitani L, Gill S, Grimm D, Hoblyn J, Nguyen T, Nikolaev E, Shere L, Relova R, Vicencio A, Yip M, Hurford I, Acheampong S, Carfagno G, Haas G, Appelt C, Brown E, Chakraborty B, Kelly E, Klima G, Steinhauer S, Hurley R, Belle R, Eknoyan D, Johnson K, Lamotte J, Granholm E, Bradshaw K, Holden J, Jones R, Le T, Molina I, Peyton M, Ruiz I, Sally L, Tapp A, Devroy S, Jain V, Kilzieh N, Maus L, Miller K, Pope H, Wood A, Meyer E, Givens P, Hicks P, Justice S, McNair K, Pena J, Tharp D, Davis L, Ban M, Cheatum L, Darr P, Grayson W, Munford J, Whitfield B, Wilson E, Melnikoff S, Schwartz B, Tureson M, D Souza D, Forselius K, Ranganathan M, Rispoli L, Sather M, Colling C, Haakenson C, Kruegar D, Muralidhar S, Ramoni R, Breeling J, Chang K, O Donnell C, Tsao P, Moser J, Brewer J, Warren S, Argyres D, Stevens B, Humphries D, Do N, Shayan S, Nguyen X, Pyarajan S, Cho K, Hauser E, Sun Y, Wilson P, McArdle R, Dellitalia L, Harley J, Whittle J. Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program Cohort. JAMA Psychiatry 2024, 81: 188-197. PMID: 37938835, PMCID: PMC10633411, DOI: 10.1001/jamapsychiatry.2023.4141.Peer-Reviewed Original ResearchSubstance use disordersPolygenic risk scoresMillion Veteran ProgramCorrelates of riskElectronic health recordsPsychiatric problemsComorbid psychiatric problemsViral hepatitis C.Chronic airway obstructionHealth recordsElectronic health record dataUS veteran populationMillion Veteran Program cohortCommon etiologic pathwayHealth care centersHealth record dataInternational Statistical ClassificationSuicide-related behaviorsAirway obstructionCohort studyHepatitis C.Recent genome-wide association studiesLiver diseaseUS veteransCare centerThe Million Veteran Program 1990–1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population
Harrington K, Quaden R, Steele L, Helmer D, Hauser E, Ahmed S, Aslan M, Radhakrishnan K, Honerlaw J, Nguyen X, Muralidhar S, Concato J, Cho K, Gaziano J, Whitbourne S, Program O. The Million Veteran Program 1990–1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population. International Journal Of Environmental Research And Public Health 2024, 21: 72. PMID: 38248536, PMCID: PMC10815483, DOI: 10.3390/ijerph21010072.Peer-Reviewed Original ResearchGulf War IllnessMillion Veteran ProgramVeteran populationVeterans Health Administration (VHA) servicesHealth conditionsComparable health statusLarge research cohortsVA Million Veteran ProgramSimilar medical conditionsHigher socioeconomic statusGW veteransMean ageVHA servicesHealth characteristicsMedical conditionsEligible veteransHealth statusResearch cohortCohortSocioeconomic statusVeterans' responsesVeteransVeteran ProgramBroader populationFull population
2023
Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness
Li G, Gerlovin H, Muñiz M, Wise J, Madenci A, Robins J, Aslan M, Cho K, Gaziano J, Lipsitch M, Casas J, Hernán M, Dickerman B. Comparison of the Test-negative Design and Cohort Design With Explicit Target Trial Emulation for Evaluating COVID-19 Vaccine Effectiveness. Epidemiology 2023, 35: 137-149. PMID: 38109485, PMCID: PMC11022682, DOI: 10.1097/ede.0000000000001709.Peer-Reviewed Original ResearchTest-negative designTarget trial emulationVaccine effectivenessCohort designTrial emulationResidual confoundingCOVID-19 vaccine effectivenessHealth care-seeking behaviorBNT162b2 vaccine effectivenessCare-seeking behaviorCOVID-19 outcomesVA healthcare systemCOVID-19 vaccineBNT162b2 vaccineAbsolute riskObservational studyNationwide dataVeterans AffairsTarget trialsEffect estimatesHealthcare systemVaccineCohortNegative controlTrialsMetformin prescription for U.S. veterans with prediabetes, 2010–2019
Gulanski B, Goulet J, Radhakrishnan K, Ko J, Li Y, Rajeevan N, Lee K, Heberer K, Lynch J, Streja E, Mutalik P, Cheung K, Concato J, Shih M, Lee J, Aslan M. Metformin prescription for U.S. veterans with prediabetes, 2010–2019. Journal Of Investigative Medicine 2023, 72: 139-150. PMID: 37668313, DOI: 10.1177/10815589231201141.Peer-Reviewed Original ResearchConceptsBody mass indexVeterans Health AdministrationIncident prediabetesHigh riskHealth AdministrationRetrospective observational cohort studyType 2 diabetes mellitusUse of metforminObservational cohort studyProportion of veteransMetformin prescribingGestational diabetesCohort studyMetformin prescriptionDiabetes mellitusDiabetes preventionMass indexCardiovascular diseaseMultivariable modelPrediabetesSubset of individualsMetforminU.S. veteransHealthcare systemVeteransEffectiveness of Nirmatrelvir-Ritonavir Against the Development of Post-COVID-19 Conditions Among U.S. Veterans : A Target Trial Emulation.
Ioannou G, Berry K, Rajeevan N, Li Y, Mutalik P, Yan L, Bui D, Cunningham F, Hynes D, Rowneki M, Bohnert A, Boyko E, Iwashyna T, Maciejewski M, Osborne T, Viglianti E, Aslan M, Huang G, Bajema K. Effectiveness of Nirmatrelvir-Ritonavir Against the Development of Post-COVID-19 Conditions Among U.S. Veterans : A Target Trial Emulation. Annals Of Internal Medicine 2023, 176: 1486-1497. PMID: 37903369, PMCID: PMC10620954, DOI: 10.7326/m23-1394.Peer-Reviewed Original ResearchConceptsAcute COVID-19Veterans Health AdministrationUntreated comparatorsThromboembolic eventsCOVID-19Severe COVID-19Target trial emulationSARS-CoV-2Post COVID-19 conditionIndex dateVenous thromboembolismBaseline characteristicsCumulative incidencePulmonary embolismAcute infectionMedian ageOral antiviralsTrial emulationVHA careOutpatient treatmentInternational ClassificationHealth AdministrationU.S. veteransVeterans AffairsOrgan systems88. GENETIC ARCHITECTURE OF SCHIZOPHRENIA IN AFRICAN ANCESTRY INDIVIDUALS
Bigdeli T, Gorman B, Voloudakis G, Chatzinakos C, Barr P, Burstein D, Genovese G, Pyarajan S, Huang G, Pato C, Pato M, Fanous A, Aslan M, Harvey P, Roussos P. 88. GENETIC ARCHITECTURE OF SCHIZOPHRENIA IN AFRICAN ANCESTRY INDIVIDUALS. European Neuropsychopharmacology 2023, 75: s103. DOI: 10.1016/j.euroneuro.2023.08.191.Peer-Reviewed Original ResearchAfrican ancestry individualsAllelic effectsMillion Veteran ProgramFine-mapping resolutionGenome-wide significanceNew biological insightsDuplication eventsGenetic architectureGenomic methodologiesAncestry tractsIndex SNPsSingle locusPhenotypic dataGenetic analysisBiological insightsMHC lociAfrican diaspora populationsAfrican ancestryLociChromosome 6p21Genetic effectsGenetic researchEast Asian populationsLarge-scale research initiativesHuman populationEarly predictors of chronic posttraumatic stress disorder symptom trajectories in U.S. Army soldiers deployed to the Iraq war zone
Vasterling J, Franz M, Lee L, Kaiser A, Proctor S, Marx B, Schnurr P, Ko J, Concato J, Aslan M. Early predictors of chronic posttraumatic stress disorder symptom trajectories in U.S. Army soldiers deployed to the Iraq war zone. Journal Of Traumatic Stress 2023, 36: 955-967. PMID: 37608526, DOI: 10.1002/jts.22964.Peer-Reviewed Original ResearchPosttraumatic stress disorderSymptom coursePosttraumatic stress disorder symptom trajectoriesGrowth mixture modelingU.S. Army soldiersLong-term followPrimary outcome variableArmy soldiersPTSD symptom courseProspective studyMild symptomsEarly predictorSummary scoresBiopsychosocial factorsAsymptomatic classSymptomatic classesSymptom classMilitary populationSymptom trajectoriesUnderstanding of predictorsAnti–SARS-CoV-2 Pharmacotherapies Among Nonhospitalized US Veterans, January 2022 to January 2023
Yan L, Streja E, Li Y, Rajeevan N, Rowneki M, Berry K, Hynes D, Cunningham F, Huang G, Aslan M, Ioannou G, Bajema K. Anti–SARS-CoV-2 Pharmacotherapies Among Nonhospitalized US Veterans, January 2022 to January 2023. JAMA Network Open 2023, 6: e2331249. PMID: 37651140, PMCID: PMC10472184, DOI: 10.1001/jamanetworkopen.2023.31249.Peer-Reviewed Original ResearchConceptsCOVID-19 pharmacotherapyVeterans Health AdministrationVeterans Integrated Service NetworkSARS-CoV-2Higher Charlson Comorbidity Index scoresCharlson Comorbidity Index scoreNon-Hispanic veteransComorbidity Index scoreProportion of patientsSymptomatic COVID-19Multivariable logistic regressionCOVID-19 vaccinationCohort studyMedicare databaseVHA careUS veteransMAIN OUTCOMEMedical conditionsHispanic veteransPharmacotherapyHealth AdministrationIndex scoreCommunity careNonhospitalized personsWhite veteransEffectiveness of COVID-19 Treatment With Nirmatrelvir–Ritonavir or Molnupiravir Among U.S. Veterans: Target Trial Emulation Studies With One-Month and Six-Month Outcomes
Bajema K, Berry K, Streja E, Rajeevan N, Li Y, Mutalik P, Yan L, Cunningham F, Hynes D, Rowneki M, Bohnert A, Boyko E, Iwashyna T, Maciejewski M, Osborne T, Viglianti E, Aslan M, Huang G, Ioannou G. Effectiveness of COVID-19 Treatment With Nirmatrelvir–Ritonavir or Molnupiravir Among U.S. Veterans: Target Trial Emulation Studies With One-Month and Six-Month Outcomes. Annals Of Internal Medicine 2023, 176: m22-3565. PMID: 37276589, PMCID: PMC10243488, DOI: 10.7326/m22-3565.Peer-Reviewed Original ResearchConceptsVeterans Health AdministrationCOVID-19 symptom onsetCOVID-19-related outcomesSevere COVID-19Six-month outcomesCOVID-19 vaccinationCOVID-19 treatmentCOVID-19SARS-CoV-2Percent of participantsUntreated control participantsCause mortalitySymptom onsetMedian ageOral antiviralsVHA careOutpatient treatmentHospitalizationHealth AdministrationDay 31U.S. veteransVariant transmissionMost veteransVeterans AffairsOne monthModeling the longitudinal changes of ancestry diversity in the Million Veteran Program
Wendt F, Pathak G, Vahey J, Qin X, Koller D, Cabrera-Mendoza B, Haeny A, Harrington K, Rajeevan N, Duong L, Levey D, De Angelis F, De Lillo A, Bigdeli T, Pyarajan S, Gaziano J, Gelernter J, Aslan M, Provenzale D, Helmer D, Hauser E, Polimanti R. Modeling the longitudinal changes of ancestry diversity in the Million Veteran Program. Human Genomics 2023, 17: 46. PMID: 37268996, PMCID: PMC10239111, DOI: 10.1186/s40246-023-00487-3.Peer-Reviewed Original Research561. Lifetime Consequences and Correlates of Anticholinergic Medication Burden in the VA Healthcare System
Bigdeli T, Joshi Y, Li Y, Rajeevan N, Sayward F, Przygodszki R, Huang G, Pyarajan S, Muralidhar S, Gaziano J, Braff D, Light G, Aslan M, Roussos P, Harvey P. 561. Lifetime Consequences and Correlates of Anticholinergic Medication Burden in the VA Healthcare System. Biological Psychiatry 2023, 93: s321. DOI: 10.1016/j.biopsych.2023.02.801.Peer-Reviewed Original Research