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 vaccinesSelf-Reported Everyday Functioning After COVID-19 Infection
Iwashyna T, Smith V, Seelye S, Bohnert A, Boyko E, Hynes D, Ioannou G, Maciejewski M, O’Hare A, Viglianti E, Berkowitz T, Pura J, Womer J, Kamphuis L, Monahan M, Bowling C, Admon A, Akgun K, Anderson S, Aslan M, Au D, Backus L, Bajema K, Baraff A, Batten L, Berkowitz T, Bernstein T, Berry Wyatt K, Bogdan J, Bosworth H, Boucher N, Burwick N, Cabrales A, Cano J, Chai W, Chen J, Cheung K, Crothers K, Curtis J, Davis M, Del Monico E, Dobalian A, Doll J, Dominitz J, Eastment M, Fan V, Ferguson J, Floyd B, Fox A, Goetz M, Govier D, Green P, Hastings S, Hauschildt K, Hawkins E, Hebert P, Helfand M, Hickok A, Horowitz D, Hough C, Hu E, Ikuta K, Jones B, Jones M, Kamphuis L, Kaufman B, Knight S, Korpak A, Korpela P, Kumbier K, Langa K, Laundry R, Lavin S, Li Y, Linquist J, McCready H, Michel M, Miles A, Milne J, Monahan M, Morelli D, Mutalik P, Naylor J, Neiderhausen M, Newell S, Nugent S, Ong M, Osborne T, Peterson M, Peterson A, Prescott H, Rajeevan N, Reddy A, Rouse M, Rowneki M, Saha S, Saini S, Shah J, Shahoumian T, Shaukat A, Shepherd-Banigan M, Showalter W, Slatore C, Smith N, Smith B, Suri P, Sussman J, Takata Y, Teo A, Thomas E, Thomas L, Tuepker A, Veigulis Z, Vig E, Vranas K, Wang X, Wicks K, Winchell K, Wong E, Woods C, Wysham K, Yan L, Zulman D. Self-Reported Everyday Functioning After COVID-19 Infection. JAMA Network Open 2024, 7: e240869. PMID: 38427352, PMCID: PMC10907923, DOI: 10.1001/jamanetworkopen.2024.0869.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingCohort StudiesCOVID-19FemaleHumansMaleMiddle AgedQuality of LifeSelf ReportVeteransConceptsEveryday functioningActivities of daily livingSelf-reported everyday functioningCOVID-19 infectionImpact of COVID-19 infectionDaily livingVeterans AffairsCOVID-19 cohortDocumented COVID-19Instrumental activities of daily livingMatched pairs of participantsHealth-related quality of lifePairs of participantsCohort studyProportion of veteransControl cohortLife-space mobilityStudy of veteransCohort study of veteransUS Veterans AffairsHealth-related qualityDocumented COVID-19 infectionSelf-reportTarget trial emulationQuality of life
2023
Metformin 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 systemVeteransAnti–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
2021
Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program
Minnier J, Rajeevan N, Gao L, Park B, Pyarajan S, Spellman P, Haskell SG, Brandt CA, Luoh SW. Polygenic Breast Cancer Risk for Women Veterans in the Million Veteran Program. JCO Precision Oncology 2021, 5: 1178-1191. PMID: 34381935, PMCID: PMC8345920, DOI: 10.1200/po.20.00541.Peer-Reviewed Original ResearchConceptsBreast Cancer Risk Assessment ToolCancer Risk Assessment ToolIncident breast cancerAbsolute lifetime riskAA womenRisk assessment toolIncident casesLifetime riskBreast cancerMillion Veteran ProgramAccurate breast cancer risk assessmentProstate Cancer Cohort ConsortiumBreast cancer risk assessmentPrior BC diagnosisBreast cancer riskClinical risk modelVeteran ProgramRisk prediction modelCancer risk assessmentAssessment toolIncident BCAfrican ancestryHazard ratioProspective cohortMultiracial cohort
2019
Genome-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 cohort