2024
Severe Acute Liver Injury After Hepatotoxic Medication Initiation in Real-World Data
Torgersen J, Mezochow A, Newcomb C, Carbonari D, Hennessy S, Rentsch C, Park L, Tate J, Bräu N, Bhattacharya D, Lim J, Mezzacappa C, Njei B, Roy J, Taddei T, Justice A, Re V. Severe Acute Liver Injury After Hepatotoxic Medication Initiation in Real-World Data. JAMA Internal Medicine 2024, 184: 943-952. PMID: 38913369, PMCID: PMC11197444, DOI: 10.1001/jamainternmed.2024.1836.Peer-Reviewed Original ResearchIncidence rateUS Department of Veterans AffairsMedication initiationDepartment of Veterans AffairsInitiation of medicationVeterans AffairsMain OutcomesPotential of medicationsOutpatient settingDischarge diagnosisCohort studyDay of admissionCase reportReal World DataReport countsMedicationMedical cohortSevere acute liver injuryUS DepartmentFollow-upAcute liver injuryHospitalCohortHepatotoxic medicationsIncidenceContribution of Potentially Inappropriate Medications to Polypharmacy-Associated Risk of Mortality in Middle-Aged Patients: A National Cohort Study
Guillot J, Justice A, Gordon K, Skanderson M, Pariente A, Bezin J, Rentsch C. Contribution of Potentially Inappropriate Medications to Polypharmacy-Associated Risk of Mortality in Middle-Aged Patients: A National Cohort Study. Journal Of General Internal Medicine 2024, 1-10. PMID: 38831248, DOI: 10.1007/s11606-024-08817-4.Peer-Reviewed Original ResearchMiddle-aged patientsRisk of mortalityVeterans AffairsChronic medicationsVA patient populationIntegrated healthcare systemNational cohort studyAssociated with increased mortalityMiddle-aged individualsMechanism of injuryMiddle-aged peopleAssociated with mortalityInappropriate medicationsBeers criteriaHealthcare systemAttenuate riskCohort studyClinical characteristicsGeneral populationHyperpolypharmacyFollow-upPolypharmacyPatient populationBackgroundThe roleCox modelHerpes Zoster and Risk of Incident Parkinson's Disease in US Veterans: A Matched Cohort Study
Tunnicliffe L, Weil R, Breuer J, Rodriguez‐Barradas M, Smeeth L, Rentsch C, Warren‐Gash C. Herpes Zoster and Risk of Incident Parkinson's Disease in US Veterans: A Matched Cohort Study. Movement Disorders 2024, 39: 438-444. PMID: 38226430, PMCID: PMC10922272, DOI: 10.1002/mds.29701.Peer-Reviewed Original ResearchConceptsUS Department of Veterans AffairsCohort studyRisk of incident PDDepartment of Veterans AffairsCox proportional hazards regressionIncident Parkinson's diseaseAssociated with increased riskHistory of HZMatched cohort studyProportional hazards regressionRisk of PDHerpes zosterIncident PDRisk of incident Parkinson's diseaseVeterans AffairsIncident HZUS veteransPD overallHazards regressionPD riskParkinson's diseaseIncreased riskMatched individualsUS DepartmentAssociated with Parkinson's disease
2023
Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study
Weinberger D, Bhaskaran K, Korves C, Lucas B, Columbo J, Vashi A, Davies L, Justice A, Rentsch C. Excess mortality in US Veterans during the COVID-19 pandemic: an individual-level cohort study. International Journal Of Epidemiology 2023, 52: 1725-1734. PMID: 37802889, PMCID: PMC10749763, DOI: 10.1093/ije/dyad136.Peer-Reviewed Original ResearchConceptsExcess mortality ratesExcess mortalityComorbidity burdenHazard ratioCohort studyMortality rateVeterans Aging Cohort Study (VACS) IndexIndividual-level cohort studyVeterans AffairsCOVID-19 pandemicLarge integrated healthcare systemExcess mortality patternsHigher comorbidity burdenLower comorbidity burdenMost frail patientsCharlson Comorbidity IndexObservational cohort studyClinical risk groupsIntegrated healthcare systemLeast frailComorbidity indexFrail patientsPre-pandemic periodMedian ageUS veteransAlcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy
Cartwright E, Pierret C, Minassian C, Esserman D, Tate J, Goetz M, Bhattacharya D, Fiellin D, Justice A, Re V, Rentsch C. Alcohol Use and Sustained Virologic Response to Hepatitis C Virus Direct-Acting Antiviral Therapy. JAMA Network Open 2023, 6: e2335715. PMID: 37751206, PMCID: PMC10523171, DOI: 10.1001/jamanetworkopen.2023.35715.Peer-Reviewed Original ResearchConceptsSustained virologic responseAlcohol use disorderHigh-risk consumptionHistory of AUDLow-risk consumptionDAA therapyAlcohol use categoriesAlcohol useVirologic responseCohort studyAntiviral therapyOdds ratioChronic hepatitis C virus (HCV) infectionAlcohol Use Disorders Identification Test-Consumption (AUDIT-C) questionnaireHepatitis C virus infectionVeterans AffairsActing antiviral (DAA) therapyDAA treatment initiationHCV elimination goalsUndetectable HCV RNAC virus infectionFibrosis-4 scoreRetrospective cohort studyMultivariable logistic regressionTenth Revision diagnosisRacial, Ethnic, and Rural Disparities in U.S. Veteran COVID-19 Vaccine Rates
Bernstein E, DeRycke E, Han L, Farmer M, Bastian L, Bean-Mayberry B, Bade B, Brandt C, Crothers K, Skanderson M, Ruser C, Spelman J, Bazan I, Justice A, Rentsch C, Akgün K. Racial, Ethnic, and Rural Disparities in U.S. Veteran COVID-19 Vaccine Rates. AJPM Focus 2023, 2: 100094. PMID: 37362395, PMCID: PMC10038675, DOI: 10.1016/j.focus.2023.100094.Peer-Reviewed Original ResearchRace/ethnicity groupsFirst vaccinationFirst COVID-19 vaccinationVeterans AffairsWhite veteransCharlson Comorbidity IndexRetrospective cohort studyPrimary care visitsEthnicity groupsCOVID-19 vaccinationLarge healthcare systemEquitable vaccine distributionAsian Americans/Pacific IslandersRace/ethnicityUnvaccinated patientsComorbidity indexInfluenza vaccinationSelf-reported categoriesBlack groupCare visitsCohort studyHazard ratioPrimary outcomeWhite patientsBlack patients
2022
Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care
Kidwai-Khan F, Rentsch C, Pulk R, Alcorn C, Brandt C, Justice A. Pharmacogenomics driven decision support prototype with machine learning: A framework for improving patient care. Frontiers In Big Data 2022, 5: 1059088. PMID: 36458283, PMCID: PMC9705957, DOI: 10.3389/fdata.2022.1059088.Peer-Reviewed Original ResearchK-Nearest NeighborSupport vector machinePreventable adverse eventsDecision support mechanismAdverse eventsCurrent medicationsExtreme gradient boostingPredictive modelingSoftware interfaceMachine learningVeterans AffairsData integrationF1 scoreLarge integrated healthcare systemNearest NeighborPatient's current medicationsVector machineOutpatient clinic visitsRandom forestDecision treeGradient boostingAUC scoreComplex treatment decisionsEHR dataIntegrated healthcare systemSurvival analysis of localized prostate cancer with deep learning
Dai X, Park JH, Yoo S, D’Imperio N, McMahon BH, Rentsch CT, Tate JP, Justice AC. Survival analysis of localized prostate cancer with deep learning. Scientific Reports 2022, 12: 17821. PMID: 36280773, PMCID: PMC9592586, DOI: 10.1038/s41598-022-22118-y.Peer-Reviewed Original ResearchConceptsProstate cancer mortalityComposite outcomeCancer mortalityRisk predictionTime-dependent c-statisticsProstate-specific antigen (PSA) testLarge integrated healthcare systemLocalized prostate cancerElectronic health record dataClinical decision-making processProstate cancer patientsIntegrated healthcare systemProstate Cancer Risk PredictionHealth record dataLarge-scale electronic health record dataRisk prediction modelCancer risk predictionAntigen testC-statisticCancer patientsProstate cancerClinical decision systemSurvival analysisVeterans AffairsDeep learningPotentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old
Guillot J, Rentsch CT, Gordon KS, Justice AC, Bezin J. Potentially inappropriate medication use by level of polypharmacy among US Veterans 49–64 and 65–70 years old. Pharmacoepidemiology And Drug Safety 2022, 31: 1056-1074. PMID: 35780391, PMCID: PMC9464694, DOI: 10.1002/pds.5506.Peer-Reviewed Original ResearchConceptsLevel of polypharmacyRace/ethnicityPIM prevalencePrevalence of PIMsInappropriate medication useElectronic health recordsCommon PIMsPharmacy fillsPROMPT criteriaInappropriate medicationsOlder patientsMedication usePsychotropic medicationsRefill recordsPolypharmacyPatientsVeterans AffairsMedicationsPrevalenceHealth recordsFiscal year 2016AgeMeaningful differencesSexTarget ageGeographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States
Ferguson JM, Justice AC, Osborne TF, Magid HSA, Purnell AL, Rentsch CT. Geographic and temporal variation in racial and ethnic disparities in SARS-CoV-2 positivity between February 2020 and August 2021 in the United States. Scientific Reports 2022, 12: 273. PMID: 34997001, PMCID: PMC8741774, DOI: 10.1038/s41598-021-03967-5.Peer-Reviewed Original Research
2021
HIV care using differentiated service delivery during the COVID‐19 pandemic: a nationwide cohort study in the US Department of Veterans Affairs
McGinnis KA, Skanderson M, Justice AC, Akgün KM, Tate JP, King JT, Rentsch CT, Marconi VC, Hsieh E, Ruser C, Kidwai‐Khan F, Yousefzadeh R, Erdos J, Park LS. HIV care using differentiated service delivery during the COVID‐19 pandemic: a nationwide cohort study in the US Department of Veterans Affairs. Journal Of The International AIDS Society 2021, 24: e25810. PMID: 34713585, PMCID: PMC8554215, DOI: 10.1002/jia2.25810.Peer-Reviewed Original ResearchConceptsVeterans AffairsClinic visitsCohort studyVL testARV coverageCOVID-19 pandemicVeterans Aging Cohort StudyHIV healthcare deliveryNationwide cohort studyAging Cohort StudyViral load testsDifferentiated service deliveryHealthcare deliveryHIV careMost patientsPharmacy recordsVL testingCalendar periodHealthcare encountersOverall healthARVVirtual healthcareVirtual visitsVisitsService delivery
2013
A Comparison of HAART Outcomes between the US Military HIV Natural History Study (NHS) and HIV Atlanta Veterans Affairs Cohort Study (HAVACS)
Guest JL, Weintrob AC, Rimland D, Rentsch C, Bradley WP, Agan BK, Marconi VC, Group I. A Comparison of HAART Outcomes between the US Military HIV Natural History Study (NHS) and HIV Atlanta Veterans Affairs Cohort Study (HAVACS). PLOS ONE 2013, 8: e62273. PMID: 23658717, PMCID: PMC3641058, DOI: 10.1371/journal.pone.0062273.Peer-Reviewed Original ResearchConceptsNatural history studiesUS Military HIV Natural History StudyVeterans AffairsCohort studyClinical outcomesHIV treatmentComprehensive HIV treatmentHealthcare systemHistory studiesClinic retentionHAART initiationHAART outcomesCause mortalityAIDS eventsHIV diagnosisSurvival disparitiesStudy cohortDemographic variablesMedication adherenceCrude analysisSurvival ratePatientsSubstance abuseHIVCare