Featured Publications
Effectiveness 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 systems
2024
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
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 vaccinesChanges in Outpatient Health Care Use After COVID-19 Infection Among Veterans
Hebert P, Kumbier K, Smith V, Hynes D, Govier D, Wong E, Kaufman B, Shepherd-Banigan M, Rowneki M, Bohnert A, Ioannou G, Boyko E, Iwashyna T, O’Hare A, Bowling C, Viglianti E, Maciejewski M, Admon A, Akgun K, Anderson L, Anderson S, Aslan M, Au D, Backus L, Bajema K, Baraff A, Batten L, Berkowitz T, Bernstein T, Berry Wyatt K, Bogdan J, Borgerding J, Bosworth H, Boucher N, Burwick N, Byrd K, Cabrales A, Cano J, Chai W, Chen J, Cheung K, Crothers K, Cummin G, Curtis J, Davis M, Del Monico E, Dennis P, Dobalian A, Doll J, Dominitz J, Eastment M, Fan V, Ferguson J, Floyd B, Fox A, Goetz M, Green P, Hastings S, Hauschildt K, Hawkins E, Helfand M, Hickok A, Horowitz D, Hough C, Hu E, Ikuta K, Jones B, Jones M, Kamphius L, Knight S, Korpak A, Korpela P, Langa K, Laundry R, Lavin S, Li Y, Lindquist J, McCready H, Meyer C, Michel M, Miles A, Milne J, Monahan M, Morelli D, Mutalik P, Naylor J, Niederhausen M, Newell S, Nugent S, Ong M, Osborne T, Peterson M, Peterson A, Prescott H, Pura J, Rajeevan N, Reddy A, Rouse M, Saha S, Saini S, Seelye S, Shah J, Shahoumian T, Shaukat A, Showalter W, Slatore C, Smith B, Smith N, Streja E, Suri P, Sussman J, Takata Y, Teo A, Thomas E, Thomas L, Tuepker A, Turner A, Veigulis Z, Vig E, Vranas K, Wang X, Wicks K, Winchell K, Womer J, Woods C, Wysham K, Yan L, Zulman D. Changes in Outpatient Health Care Use After COVID-19 Infection Among Veterans. JAMA Network Open 2024, 7: e2355387. PMID: 38334995, PMCID: PMC10858406, DOI: 10.1001/jamanetworkopen.2023.55387.Peer-Reviewed Original ResearchMeSH KeywordsAgedCOVID-19HumansMaleMedicareMiddle AgedOutpatientsRetrospective StudiesTelemedicineUnited StatesVeteransConceptsOutpatient health care useHealth care useCare useOutpatient useOutpatient visitsPrimary care visitsCounts of outpatient visitsPrimary care patientsOutpatient care utilizationCategories of careVeterans Affairs Corporate Data WarehouseCorporate Data WarehouseIncreased outpatient visitsNegative binomial regression modelsBinomial regression modelsCare visitsCare utilizationPopulation surveillance studyRetrospective cohort studyCare patientsUninfected veteransCOVID-19 infectionMain OutcomesPeri-infection periodCohort study
2023
Anti–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 ResearchMeSH KeywordsAgedCohort StudiesCOVID-19COVID-19 VaccinesHumansMaleMedicareMiddle AgedRitonavirSARS-CoV-2United StatesVeteransConceptsCOVID-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 veterans
2020
Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans
Bigdeli TB, Fanous AH, Li Y, Rajeevan N, Sayward F, Genovese G, Gupta R, Radhakrishnan K, Malhotra AK, Sun N, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Cheung KH, Gur RE, Greenwood TA, Braff DL, on the Genetics of Schizophrenia C, Achtyes ED, Buckley PF, Escamilla MA, Lehrer D, Malaspina DP, McCarroll SA, Rapaport MH, Vawter P, Pato MT, Pato CN, Investigators G, Zhao H, Kosten TR, Brophy M, Pyarajan S, Shi Y, O’Leary T, Gleason T, Przygodzki R, Muralidhar S, Gaziano JM, Program M, Huang GD, Concato J, Siever LJ, Aslan M, Harvey PD. Genome-Wide Association Studies of Schizophrenia and Bipolar Disorder in a Diverse Cohort of US Veterans. Schizophrenia Bulletin 2020, 47: 517-529. PMID: 33169155, PMCID: PMC7965063, DOI: 10.1093/schbul/sbaa133.Peer-Reviewed Original Research
2019
Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder
Harvey PD, Sun N, Bigdeli TB, Fanous AH, Aslan M, Malhotra AK, Lu Q, Hu Y, Li B, Chen Q, Mane S, Miller P, Rajeevan N, Sayward F, Cheung K, Li Y, Greenwood TA, Gur RE, Braff DL, on the Genetics of Schizophrenia C, Brophy M, Pyarajan S, O'Leary TJ, Gleason T, Przygodszki R, Muralidhar S, Gaziano JM, Concato J, Zhao H, Siever LJ. Genome‐wide association study of cognitive performance in U.S. veterans with schizophrenia or bipolar disorder. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2019, 183: 181-194. PMID: 31872970, DOI: 10.1002/ajmg.b.32775.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAllelesBipolar DisorderCognitionCognition DisordersFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedNeuropsychological TestsOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideSchizophreniaUnited StatesUnited States Department of Veterans AffairsVeteransGenome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans
Gelernter J, Sun N, Polimanti R, Pietrzak R, Levey DF, Bryois J, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Pyarajan S, Sullivan PF, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Concato J, Zhao H, Stein MB. Genome-wide association study of post-traumatic stress disorder reexperiencing symptoms in >165,000 US veterans. Nature Neuroscience 2019, 22: 1394-1401. PMID: 31358989, PMCID: PMC6953633, DOI: 10.1038/s41593-019-0447-7.Peer-Reviewed Original ResearchConceptsGenome-wide association studiesAssociation studiesHigh linkage disequilibrium regionLinkage disequilibrium regionWide association studyDisequilibrium regionBioinformatics analysisTranscriptomic profilesMillion Veteran ProgramChromosome 17Genetic risk factorsNew insightsUK Biobank dataReexperiencing of traumaStriatal medium spiny neuronsVeteran ProgramSignificant regionsCAMKVEuropean AmericansBiobank dataMedium spiny neuronsTCF4BiologyKANSL1African American cohortGenome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci
Gelernter J, Sun N, Polimanti R, Pietrzak RH, Levey DF, Lu Q, Hu Y, Li B, Radhakrishnan K, Aslan M, Cheung KH, Li Y, Rajeevan N, Sayward F, Harrington K, Chen Q, Cho K, Honerlaw J, Pyarajan S, Lencz T, Quaden R, Shi Y, Hunter-Zinck H, Gaziano JM, Kranzler HR, Concato J, Zhao H, Stein MB, Program D, Program M. Genome-wide Association Study of Maximum Habitual Alcohol Intake in >140,000 U.S. European and African American Veterans Yields Novel Risk Loci. Biological Psychiatry 2019, 86: 365-376. PMID: 31151762, PMCID: PMC6919570, DOI: 10.1016/j.biopsych.2019.03.984.Peer-Reviewed Original ResearchConceptsAdditional genome-wide significant lociRisk lociWide association study (GWAS) analysisAssociation studiesGenome-wide significant lociGenome-wide association studiesGenetic correlationsWide association studyNovel risk lociAlcohol-related traitsStrong statistical supportSmoking-related traitsAdditional genomesSignificant lociPancreatic delta cellsChromosome 4Chromosome 11Protein productsChromosome 8Quantitative phenotypesMillion Veteran ProgramVeterans Affairs Million Veteran ProgramLociCell typesChromosome 17
2018
Suicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder
Harvey PD, Posner K, Rajeevan N, Yershova KV, Aslan M, Concato J. Suicidal ideation and behavior in US veterans with schizophrenia or bipolar disorder. Journal Of Psychiatric Research 2018, 102: 216-222. PMID: 29698922, DOI: 10.1016/j.jpsychires.2018.04.014.Peer-Reviewed Original ResearchConceptsSevere mental illnessSuicidal ideationPsychiatric comorbidityUS veteransHigh riskVeteran populationGreater clinical focusPopulation of patientsVeterans Affairs studyMultiple psychiatric comorbiditiesStudy of veteransLifetime suicidal ideationHigh suicide riskDemographic factorsBetter risk predictionMajority of veteransClinical factorsFunctional statusLifetime riskRisk factorsMajor depressionMultinomial logistic regressionLower riskSCZ patientsClinical attributes
2017
Effect of the Tool to Reduce Inappropriate Medications on Medication Communication and Deprescribing
Fried TR, Niehoff KM, Street RL, Charpentier PA, Rajeevan N, Miller PL, Goldstein MK, O'Leary JR, Fenton BT. Effect of the Tool to Reduce Inappropriate Medications on Medication Communication and Deprescribing. Journal Of The American Geriatrics Society 2017, 65: 2265-2271. PMID: 28804870, PMCID: PMC5641237, DOI: 10.1111/jgs.15042.Peer-Reviewed Original ResearchMeSH KeywordsAgedAged, 80 and overChronic DiseaseCommunicationDecision Support Systems, ClinicalDeprescriptionsElectronic Health RecordsFemaleHumansMaleMedication ReconciliationPolypharmacyPotentially Inappropriate Medication ListSoftwareUnited StatesUnited States Department of Veterans AffairsVeteransConceptsElectronic health recordsInappropriate medicationsPatient assessmentChronic conditionsMedication communicationPatient communicationVeterans Affairs Medical CenterMedication-related communicationMedication-related outcomesNumber of medicationsPrimary care clinicsClustering of patientsAccuracy of documentationClinical decision support systemInappropriate regimensMore medicationsUsual careChart reviewMedication discrepanciesCare clinicsMedication problemsClinical trialsClinician communicationMedical CenterMedicationsUtilizing 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 ResearchConceptsClinical 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 Administration