2020
Association of OPRM1 Functional Coding Variant With Opioid Use Disorder
Zhou H, Rentsch CT, Cheng Z, Kember RL, Nunez YZ, Sherva RM, Tate JP, Dao C, Xu K, Polimanti R, Farrer LA, Justice AC, Kranzler HR, Gelernter J. Association of OPRM1 Functional Coding Variant With Opioid Use Disorder. JAMA Psychiatry 2020, 77: 1072-1080. PMID: 32492095, PMCID: PMC7270886, DOI: 10.1001/jamapsychiatry.2020.1206.Peer-Reviewed Original ResearchConceptsOpioid use disorderUse disordersMendelian randomization analysisAfrican American individualsMAIN OUTCOMEFunctional coding variantSignificant associationCausal associationRandomization analysisElectronic health record dataCurrent opioid crisisAmerican individualsHealth record dataCognitive performanceInternational Statistical ClassificationRelated Health ProblemsPotential causal associationAmerican controlsEuropean American controlsAfrican-American controlsCoding variantBuprenorphine treatmentOUD diagnosisTobacco smokingNinth RevisionSerious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model
Womack JA, Murphy TE, Bathulapalli H, Smith A, Bates J, Jarad S, Redeker NS, Luther SL, Gill TM, Brandt CA, Justice AC. Serious Falls in Middle‐Aged Veterans: Development and Validation of a Predictive Risk Model. Journal Of The American Geriatrics Society 2020, 68: 2847-2854. PMID: 32860222, PMCID: PMC7744431, DOI: 10.1111/jgs.16773.Peer-Reviewed Original ResearchConceptsMiddle-aged veteransVeterans Health AdministrationOpioid useSerious fallsAlcohol Use Disorders Identification Test-Consumption scoresCategory-free net reclassification improvementIllicit substance use disordersMental health comorbiditiesPrescription opioid useMultivariable logistic regressionNet reclassification improvementSubstance use disordersQuality of lifeHazardous alcohol usePredictive risk modelChronic medicationsCohort studyHealth comorbiditiesNinth RevisionReclassification improvementGeriatric healthInjury codesHazardous alcoholInternational ClassificationUse disorders
2015
Depression and Human Immunodeficiency Virus Infection Are Risk Factors for Incident Heart Failure Among Veterans
White JR, Chang CC, So-Armah KA, Stewart JC, Gupta SK, Butt AA, Gibert CL, Rimland D, Rodriguez-Barradas MC, Leaf DA, Bedimo RJ, Gottdiener JS, Kop WJ, Gottlieb SS, Budoff MJ, Khambaty T, Tindle HA, Justice AC, Freiberg MS. Depression and Human Immunodeficiency Virus Infection Are Risk Factors for Incident Heart Failure Among Veterans. Circulation 2015, 132: 1630-1638. PMID: 26358261, PMCID: PMC4624488, DOI: 10.1161/circulationaha.114.014443.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgingAntidepressive AgentsAnti-HIV AgentsCardiovascular DiseasesComorbidityDepressive Disorder, MajorDiabetes MellitusElectronic Health RecordsEthnicityFemaleFollow-Up StudiesHeart FailureHIV InfectionsHumansHyperlipidemiasIncidenceKidney DiseasesMaleMiddle AgedProspective StudiesRisk FactorsSubstance-Related DisordersUnited StatesVeteransConceptsMajor depressive disorderRisk factorsHuman immunodeficiency virus (HIV) infectionCox proportional hazards modelBaseline antidepressant useIncident HF eventsRisk of HFIncident heart failureImmunodeficiency virus infectionIndependent risk factorCohort Study participantsHeart failure riskProportional hazards modelHF morbidityCommon comorbiditiesIncident HFAntidepressant useHeart failureHIV infectionHIV- participantsPrimary outcomeNinth RevisionHF eventsMedical recordsDepressive disorder
2010
The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage
Latkany P, Duggal M, Goulet J, Paek H, Rambo M, Palmisano P, Levin W, Erdos J, Justice A, Brandt C. The need for validation of large administrative databases: Veterans Health Administration ICD-9CM coding of exudative age-related macular degeneration and ranibizumab usage. Journal Of Ocular Biology, Diseases, And Informatics 2010, 3: 30-34. PMID: 21139706, PMCID: PMC2956455, DOI: 10.1007/s12177-010-9052-4.Peer-Reviewed Original ResearchExudative age-related macular degenerationAge-related macular degenerationExcellent positive predictive valuePositive predictive valuePredictive valueMacular degenerationLarge electronic medical record systemsClinical Modification codingLarge administrative databaseNegative predictive valueElectronic medical record systemVA ConnecticutMedical record systemChart reviewNinth RevisionOphthalmology clinicAdministrative databasesClinical informationInternational ClassificationDistinct patientsTherapy policyRanibizumabPatientsRecord systemDegeneration
2005
Relationship between provider type and the attainment of treatment goals in primary care.
Federman DG, Krishnamurthy R, Kancir S, Goulet J, Justice A. Relationship between provider type and the attainment of treatment goals in primary care. The American Journal Of Managed Care 2005, 11: 561-6. PMID: 16159046.Peer-Reviewed Original ResearchConceptsCoronary artery diseaseProvider typeArtery diseaseBlood pressureDiabetes mellitusTreatment goalsRecent low-density lipoprotein cholesterol levelsLow-density lipoprotein cholesterol levelsAdditional patient characteristicsBlood pressure goalsGoal blood pressureLipoprotein cholesterol levelsClinical Modification codesTreatment of dyslipidemiaTreatment of hypertensionElectronic medical recordsHealth care systemInternal medicine residentsPatient agePatient characteristicsHemoglobin levelsNinth RevisionPrimary careCholesterol levelsMedical records