2020
Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma.
Torgersen J, Kallan MJ, Carbonari DM, Park LS, Mehta RL, D'Addeo K, Tate JP, Lim JK, Goetz MB, Rodriguez-Barradas MC, Bräu N, Brown ST, Taddei TH, Justice AC, Lo Re V. Brief Report: Accuracy of FIB-4 for Cirrhosis in People Living With HIV and Hepatocellular Carcinoma. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2020, 85: 530-534. PMID: 33185999, PMCID: PMC8353543, DOI: 10.1097/qai.0000000000002510.Peer-Reviewed Original ResearchConceptsSetting of HCCFIB-4Receiver-operating characteristic curveHepatocellular carcinomaHCC diagnosisPredictive valueVeterans Aging Cohort StudyEvidence of cirrhosisSetting of HIVAbsence of cirrhosisFIB-4 scoreFibrosis-4 indexIncident hepatocellular carcinomaMedical record reviewPrevalence of cirrhosisAging Cohort StudyCross-sectional studyCharacteristic curveNegative predictive valuePositive predictive valueCirrhosis statusCohort studyMechanisms of carcinogenesisRecord reviewPlatelet countValidation for using electronic health records to identify community acquired pneumonia hospitalization among people with and without HIV
Rodriguez-Barradas MC, McGinnis KA, Akgün K, Tate JP, Brown ST, Butt AA, Fine M, Goetz MB, Graber CJ, Huang L, Rimland D, Justice A, Crothers K. Validation for using electronic health records to identify community acquired pneumonia hospitalization among people with and without HIV. Pneumonia 2020, 12: 6. PMID: 32724760, PMCID: PMC7382068, DOI: 10.1186/s41479-020-00068-1.Peer-Reviewed Original ResearchICD-9 codesPharmacy dataUninfected groupEHR algorithmPrimary positionOverall positive predictive valueResultsFive hundred fortyGroup of patientsElectronic health record dataICD-9 diagnosisHealth record dataPositive predictive valueCode-based algorithmsElectronic health recordsCAP hospitalizationsCOPD exacerbationsMicrobiologic workupOverall PPVUninfected patientsAspiration pneumoniaPneumonia hospitalizationsHospital admissionHIV statusCaP diagnosisEtiologic diagnosisExtracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools
Akgün KM, Sigel K, Cheung KH, Kidwai-Khan F, Bryant AK, Brandt C, Justice A, Crothers K. Extracting lung function measurements to enhance phenotyping of chronic obstructive pulmonary disease (COPD) in an electronic health record using automated tools. PLOS ONE 2020, 15: e0227730. PMID: 31945115, PMCID: PMC6964890, DOI: 10.1371/journal.pone.0227730.Peer-Reviewed Original ResearchMeSH KeywordsCohort StudiesData MiningElectronic Health RecordsForced Expiratory VolumeHealth Information SystemsHospitalizationHumansLungNatural Language ProcessingPulmonary Disease, Chronic ObstructiveSeverity of Illness IndexSoftwareUnited StatesUnited States Department of Veterans AffairsVeteransVital CapacityConceptsChronic obstructive pulmonary diseaseVeterans Aging Cohort StudyObstructive pulmonary diseaseFEV1 valuesPulmonary diseasePhenotyping of patientsPulmonary function testsAging Cohort StudyLung function measurementsElectronic health record dataHealth record dataStructured electronic health record dataPositive predictive valueElectronic health recordsAirflow obstructionChart reviewCohort studyExpiratory volumeCOPD phenotypesFunction testsVital capacityFEV1 measurementsDATA SOURCESPredictive valueClinical notesInsights Provided by Depression Screening Regarding Pain, Anxiety, and Substance use in a Veteran Population
Stevens ER, Mazumdar M, Caniglia EC, Khan MR, Young KE, Edelman EJ, Gordon AJ, Fiellin DA, Maisto SA, Chichetto NE, Crystal S, Gaither JR, Justice AC, Braithwaite RS. Insights Provided by Depression Screening Regarding Pain, Anxiety, and Substance use in a Veteran Population. Journal Of Primary Care & Community Health 2020, 11: 2150132720949123. PMID: 32772883, PMCID: PMC7418233, DOI: 10.1177/2150132720949123.Peer-Reviewed Original ResearchConceptsPositive predictive valueSubstance useOdds ratioVeterans Aging Cohort Study (VACS) dataPHQ-9 scoresPrimary care settingCohort study dataTest performance characteristicsSymptoms of anxietyMedian ageDepression screeningLikelihood ratio valuesDepression screenPHQ-9Care settingsVeteran populationPredictive valueSignificant associationSymptomsDiagnostic assessmentAnxietyStudy dataAdditional informationAssociationPain
2018
Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection
Rentsch CT, Cartwright EJ, Gandhi NR, Brown ST, Rodriguez-Barradas MC, Goetz MB, Marconi VC, Gibert CL, Re VL, Fiellin DA, Justice AC, Tate JP. Provider verification of electronic health record receipt and nonreceipt of direct-acting antivirals for the treatment of hepatitis C virus infection. Annals Of Epidemiology 2018, 28: 808-811. PMID: 30195616, PMCID: PMC6318448, DOI: 10.1016/j.annepidem.2018.08.007.Peer-Reviewed Original ResearchConceptsHepatitis C virus infectionCorporate Data WarehouseChronic HCV infectionC virus infectionPositive predictive valuePredictive valueHCV infectionHCV treatmentVirus infectionVeterans Health Administration Corporate Data WarehouseChronic hepatitis C virus (HCV) infectionStudy periodModern treatment eraRetrospective cohort studyElectronic health record dataPharmacy fill recordsHealth record dataNegative predictive valueElectronic health recordsAntiviral regimenHCV therapyTreatment eraChart reviewCohort studyAntiviral treatment
2014
Cancer Incidence in HIV-Infected Versus Uninfected Veterans: Comparison of Cancer Registry and ICD-9 Code Diagnoses
Park LS, Tate JP, Rodriguez-Barradas MC, Rimland D, Goetz MB, Gibert C, Brown ST, Kelley MJ, Justice AC, Dubrow R. Cancer Incidence in HIV-Infected Versus Uninfected Veterans: Comparison of Cancer Registry and ICD-9 Code Diagnoses. Journal Of AIDS & Clinical Research 2014, 05: 1000318. PMID: 25580366, PMCID: PMC4285627, DOI: 10.4172/2155-6113.1000318.Peer-Reviewed Original ResearchVeterans Affairs Central Cancer RegistryVeterans Aging Cohort StudyStandardized incidence ratiosIncidence rate ratiosUninfected veteransIncident cancerCancer RegistryCancer riskICD-9End Results (SEER) ratesHigh positive predictive valueAging Cohort StudyICD-9 code diagnosisCentral Cancer RegistryICD-9 diagnosisPositive predictive valueFalse-positive diagnosesHIV/AIDSElevated cancer riskRace/ethnicityCohort studyProspective cohortHIV statusIncidence ratiosCancer burden
2011
Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study
Re V, Lim JK, Goetz MB, Tate J, Bathulapalli H, Klein MB, Rimland D, Rodriguez‐Barradas M, Butt AA, Gibert CL, Brown ST, Kidwai F, Brandt C, Dorey‐Stein Z, Reddy KR, Justice AC. Validity of diagnostic codes and liver‐related laboratory abnormalities to identify hepatic decompensation events in the Veterans Aging Cohort Study. Pharmacoepidemiology And Drug Safety 2011, 20: 689-699. PMID: 21626605, PMCID: PMC3131229, DOI: 10.1002/pds.2148.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHepatic decompensation eventsPositive predictive valueHigh positive predictive valueLaboratory abnormalitiesAging Cohort StudyDecompensation eventsDiagnostic codesCohort studyHepatic decompensationVariceal hemorrhageOutpatient diagnostic codesChronic liver diseaseSpontaneous bacterial peritonitisImpact of medicationLiver dysfunctionBacterial peritonitisLiver diseaseMedical recordsOutpatient codesPredictive valueNatural historyAbnormalitiesEpidemiologic researchPatients
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
2006
Development and Verification of a “Virtual” Cohort Using the National VA Health Information System
Fultz SL, Skanderson M, Mole LA, Gandhi N, Bryant K, Crystal S, Justice AC. Development and Verification of a “Virtual” Cohort Using the National VA Health Information System. Medical Care 2006, 44: s25-s30. PMID: 16849965, DOI: 10.1097/01.mlr.0000223670.00890.74.Peer-Reviewed Original ResearchConceptsPositive predictive valueIntegrated electronic medical recordsOutpatient codesPredictive valueCohort of veteransVA administrative dataElectronic medical recordsAdministrative dataMajority of subjectsInpatient codesSimilar HIVHAART eraHIV infectionCase RegistryPharmacy benefit managementPharmacy dataMedical recordsClinical dataLarge cohortConfirmatory laboratoryIndependent clinical dataHIVHealth information systemsVirtual cohortCohort