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 vaccinesCorrelates 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 attempts
2022
A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality
Verma A, Minnier J, Wan ES, Huffman JE, Gao L, Joseph J, Ho YL, Wu WC, Cho K, Gorman BR, Rajeevan N, Pyarajan S, Garcon H, Meigs JB, Sun YV, Reaven PD, McGeary JE, Suzuki A, Gelernter J, Lynch JA, Petersen JM, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Gatsby E, Lynch KE, Bonomo RA, Freiberg M, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Huang R, Polimanti R, Chang KM, Liao KP, Tsao PS, Wilson PWF, Hung A, O’Donnell C, Gaziano JM, Hauger RL, Iyengar S, Luoh SW, Initiative T. A MUC5B Gene Polymorphism, rs35705950-T, Confers Protective Effects Against COVID-19 Hospitalization but Not Severe Disease or Mortality. American Journal Of Respiratory And Critical Care Medicine 2022, 206: 1220-1229. PMID: 35771531, PMCID: PMC9746845, DOI: 10.1164/rccm.202109-2166oc.Peer-Reviewed Original ResearchConceptsCOVID-19 hospitalizationIdiopathic pulmonary fibrosisMillion Veteran ProgramHost Genetics InitiativeAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionGene polymorphismsSyndrome coronavirus 2 infectionCoronavirus 2 infectionConfer protective effectsCOVID-19 positivityCoronavirus disease (COVID-19) infectionElectronic health recordsMVP subjectsPneumonia eventsClinical outcomesPulmonary fibrosisCOVID-19 Host Genetics InitiativeClinical eventsSevere outcomesProtective effectSevere diseaseRs35705950Disease severityMVP participantsPenetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System
Bigdeli TB, Voloudakis G, Barr PB, Gorman BR, Genovese G, Peterson RE, Burstein DE, Velicu VI, Li Y, Gupta R, Mattheisen M, Tomasi S, Rajeevan N, Sayward F, Radhakrishnan K, Natarajan S, Malhotra AK, Shi Y, Zhao H, Kosten TR, Concato J, O’Leary T, Przygodzki R, Gleason T, Pyarajan S, Brophy M, Huang GD, Muralidhar S, Gaziano JM, Aslan M, Fanous AH, Harvey PD, Roussos P, 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. Penetrance and Pleiotropy of Polygenic Risk Scores for Schizophrenia, Bipolar Disorder, and Depression Among Adults in the US Veterans Affairs Health Care System. JAMA Psychiatry 2022, 79: 1092-1101. PMID: 36103194, PMCID: PMC9475441, DOI: 10.1001/jamapsychiatry.2022.2742.Peer-Reviewed Original ResearchDiagnosis of schizophreniaPolygenic risk scoresBipolar disorderHealth care systemElectronic health recordsBilling codesRisk scoreUS Veterans Affairs Health Care SystemClinical InterviewVeterans Health Administration health care systemVeterans Affairs Health Care SystemDisorder-specific genetic factorsVeterans Health Administration electronic health recordsCare systemICD-9/10 codesMajor depression polygenic risk scoresSerious mental illnessEuropean ancestryDepression polygenic risk scoresPhysical health problemsAfrican ancestryUS veteransMajor depressionMillion Veteran ProgramMAIN OUTCOMEAssociation of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait
Verma A, Huffman JE, Gao L, Minnier J, Wu WC, Cho K, Ho YL, Gorman BR, Pyarajan S, Rajeevan N, Garcon H, Joseph J, McGeary JE, Suzuki A, Reaven PD, Wan ES, Lynch JA, Petersen JM, Meigs JB, Freiberg MS, Gatsby E, Lynch KE, Zekavat SM, Natarajan P, Dalal S, Jhala DN, Arjomandi M, Bonomo RA, Thompson TK, Pathak GA, Zhou JJ, Donskey CJ, Madduri RK, Wells QS, Gelernter J, Huang RDL, Polimanti R, Chang KM, Liao KP, Tsao PS, Sun YV, Wilson PWF, O’Donnell C, Hung AM, Gaziano JM, Hauger RL, Iyengar SK, Luoh SW, Muralidhar S, Beckham J, Moser J, Thomann L, Garcon H, Kosik N, Damrauer S, Assimes T, Roussos P, Striker R, Tuteja S, DuVall S, Lynch K, Gatsby E, Ramoni R, Breeling J, Huang G, Whitbourne S, Brewer J, Aslan M, Connor T, Argyres D, Stephens B, Brophy M, Humphries D, Selva L, Do N, Shayan S, Churby L, Hauser E, Zhao H, Wilson P, McArdle R, Dellitalia L, Mattocks K, Harley J, Whittle J, Jacono F, Wells J, Gutierrez S, Gibson G, Hammer K, Kaminsky L, Villareal G, Kinlay S, Xu J, Hamner M, Mathew R, Bhushan S, Iruvanti P, Godschalk M, Ballas Z, Ivins D, Mastorides S, Moorman J, Gappy S, Klein J, Ratcliffe N, Florez H, Okusaga O, Murdoch M, Sriram P, Yeh S, Tandon N, Jhala D, Aguayo S, Cohen D, Sharma S, Liangpunsakul S, Oursler K, Whooley M, Ahuja S, Constans J, Meyer P, Greco J, Rauchman M, Servatius R, Gaddy M, Wallbom A, Morgan T, Stapley T, Sherman S, Ross G, Tsao P, Strollo P, Boyko E, Meyer L, Gupta S, Huq M, Fayad J, Hung A, Lichy J, Hurley R, Robey B. Association of Kidney Comorbidities and Acute Kidney Failure With Unfavorable Outcomes After COVID-19 in Individuals With the Sickle Cell Trait. JAMA Internal Medicine 2022, 182: 796-804. PMID: 35759254, PMCID: PMC9237798, DOI: 10.1001/jamainternmed.2022.2141.Peer-Reviewed Original ResearchConceptsAcute kidney failureSickle cell traitAssociation of SCTCOVID-19 outcomesCOVID-19 mortalityKidney diseaseKidney failureCell traitMillion Veteran ProgramCOVID-19Chronic kidney diseaseDiabetic kidney diseaseHypertensive kidney diseaseElectronic health recordsIndex dateAfrican ancestryPulmonary embolismClinical outcomesCerebrovascular diseaseMean ageUnfavorable outcomeClinical dataDiseases codesKidney morbidityMAIN OUTCOME
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
2016
Development of the Tool to Reduce Inappropriate Medications (TRIM): A Clinical Decision Support System to Improve Medication Prescribing for Older Adults
Niehoff KM, Rajeevan N, Charpentier PA, Miller PL, Goldstein MK, Fried TR. Development of the Tool to Reduce Inappropriate Medications (TRIM): A Clinical Decision Support System to Improve Medication Prescribing for Older Adults. Pharmacotherapy The Journal Of Human Pharmacology And Drug Therapy 2016, 36: 694-701. PMID: 27041466, PMCID: PMC4919149, DOI: 10.1002/phar.1751.Peer-Reviewed Original ResearchConceptsDirect patient assessmentClinical decision support systemInappropriate medicationsElectronic health recordsChart reviewPatient assessmentPotential overtreatmentOlder primary care patientsVeterans Affairs Medical CenterAdditional health variablesVeterans 65 yearsHealth recordsHigh-risk patientsPrimary care patientsPrimary care clinicsFeedback reportsInappropriate dosingMore medicationsMedication regimenCare patientsDiabetes mellitusMedication regimensCare clinicsAdverse reactionsChronic conditions
2014
Exploring a Clinically Friendly Web-Based Approach to Clinical Decision Support Linked to the Electronic Health Record: Design Philosophy, Prototype Implementation, and Framework for Assessment
Miller P, Phipps M, Chatterjee S, Rajeevan N, Levin F, Frawley S, Tokuno H. Exploring a Clinically Friendly Web-Based Approach to Clinical Decision Support Linked to the Electronic Health Record: Design Philosophy, Prototype Implementation, and Framework for Assessment. JMIR Medical Informatics 2014, 2: e20. PMID: 25580426, PMCID: PMC4288105, DOI: 10.2196/medinform.3586.Peer-Reviewed Original ResearchComputer-based clinical decision supportElectronic health recordsPrototype implementationClinical decision supportDecision supportHealth recordsDesign philosophyWeb-based approachImplementation issuesPilot applicationPilot frameworkTechnical designImplementationFrameworkNeuropathic painPilot assessmentProvider practicesClinical decisionDesignAreas of focusUnacceptable demandsVariety of perspectivesApplicationsSupportAssessment