2022
Tenofovir disoproxil fumarate and coronavirus disease 2019 outcomes in men with HIV
Li G, Park LS, Lodi S, Logan RW, Cartwright EJ, Aoun-Barakat L, Casas JP, Dickerman BA, Rentsch CT, Justice AC, Hernán MA. Tenofovir disoproxil fumarate and coronavirus disease 2019 outcomes in men with HIV. AIDS 2022, 36: 1689-1696. PMID: 35848570, PMCID: PMC9444875, DOI: 10.1097/qad.0000000000003314.Peer-Reviewed Original ResearchConceptsTDF/FTCTenofovir disoproxil fumarateCoronavirus disease 2019 (COVID-19) outcomesTAF/FTCAntiretroviral therapyTenofovir alafenamideDisoproxil fumarateRisk ratioAcute respiratory syndrome coronavirus 2 infectionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infectionCOVID-19 ICU admissionsIntensive care unit admissionPrevious COVID-19 diagnosisSyndrome coronavirus 2 infectionCOVID-19-related hospitalizationVeterans Aging Cohort StudySARS-CoV-2 infectionCare unit admissionCoronavirus 2 infectionChronic kidney diseaseHIV viral loadGlomerular filtration rateAging Cohort StudyCorresponding risk ratioPooled logistic regression
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 deliveryPolypharmacy-associated risk of hospitalisation among people ageing with and without HIV: an observational study
Justice AC, Gordon KS, Romero J, Edelman EJ, Garcia BJ, Jones P, Khoo S, Re V, Rentsch CT, Tate JP, Tseng A, Womack J, Jacobson D. Polypharmacy-associated risk of hospitalisation among people ageing with and without HIV: an observational study. The Lancet Healthy Longevity 2021, 2: e639-e650. PMID: 34870254, PMCID: PMC8639138, DOI: 10.1016/s2666-7568(21)00206-3.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyMedication countDrug-drug interactionsAntiretroviral therapyObservational studyPhysiological frailtyVeterans Affairs Health Services ResearchMore drug-drug interactionsRisk of hospitalisationRisk of admissionAging Cohort StudyHIV-1 RNANon-ART medicationsAdverse health outcomesNational InstituteHealth services researchAdditional medicationObserved medicationActive medicationCause mortalityMore medicationsCohort studyPrescription fillsHIV statusPrescription medicationsSociodemographic and clinical correlates of gabapentin receipt with and without opioids among a national cohort of patients with HIV
Oldfield BJ, Li Y, Vickers-Smith R, Becker WC, Barry DT, Crystal S, Gordon KS, Kerns RD, Rentsch CT, Marshall BDL, Edelman EJ. Sociodemographic and clinical correlates of gabapentin receipt with and without opioids among a national cohort of patients with HIV. AIDS Care 2021, 34: 1053-1063. PMID: 34114904, PMCID: PMC8664891, DOI: 10.1080/09540121.2021.1939851.Peer-Reviewed Original ResearchConceptsOpioid useHigh dosesSelf-reported opioid useVeterans Aging Cohort StudyHigh-dose opioidsMean daily doseAging Cohort StudyHigh-dose benzodiazepinesNational prospective cohortOpioid doseOpioid receiptCohort studyFoot painProspective cohortDaily doseIndependent predictorsChronic painPain interferenceClinical variablesClinical correlatesNational cohortMultinomial logistic regressionPWHLogistic regressionOpioidsStatin exposure and risk of cancer in people with and without HIV infection.
Bedimo RJ, Park LS, Shebl FM, Sigel K, Rentsch CT, Crothers K, Rodriguez-Barradas MC, Goetz MB, Butt AA, Brown ST, Gibert C, Justice AC, Tate JP. Statin exposure and risk of cancer in people with and without HIV infection. AIDS 2021, 35: 325-334. PMID: 33181533, PMCID: PMC7775280, DOI: 10.1097/qad.0000000000002748.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyStatin useStatin exposureHazard ratioCancer riskLower riskPropensity score-matched cohortCox regression hazard ratiosAging Cohort StudyAnti-inflammatory effectsRegression hazard ratiosNon-Hodgkin lymphomaConfidence intervalsCancer registry linkagePropensity score-matched sampleRisk of cancerDeath overallUninfected patientsCohort studyIncident cancerRegistry linkageHIV infectionHIV statusStatin initiatorsUninfected persons
2020
Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study.
Edelman EJ, Li Y, Barry D, Brennan Braden J, Crystal S, Kerns RD, Gaither JR, Gordon KS, Manhapra A, Merlin JS, Moore BA, Oldfield BJ, Park LS, Rentsch CT, Skanderson M, Williams EC, Justice AC, Tate JP, Becker WC, Marshall BDL. Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2020, 84: 26-36. PMID: 32267658, PMCID: PMC7147724, DOI: 10.1097/qai.0000000000002310.Peer-Reviewed Original ResearchConceptsOpioid useOpioid use trajectoriesCohort studyPain interferenceSelf-reported opioid useVeterans Aging Cohort StudyVeterans Health Administration sitesInfrequent useOpioid use frequencyMarijuana useAging Cohort StudyNational cohort studyEvidence-based treatmentsGroup-based trajectory modelsProspective cohortBaseline factorsIllness severityMultivariable analysisBenzodiazepine medicationVA carePsychoactive medicationsPrescription painkillersPsychiatric symptomsHeroin useMultinomial logistic regression
2019
Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators.
Womack JA, Murphy TE, Rentsch CT, Tate JP, Bathulapalli H, Smith AC, Bates J, Jarad S, Gibert CL, Rodriguez-Barradas MC, Tien PC, Yin MT, Gill TM, Friedlaender G, Brandt CA, Justice AC. Polypharmacy, Hazardous Alcohol and Illicit Substance Use, and Serious Falls Among PLWH and Uninfected Comparators. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 82: 305-313. PMID: 31339866, PMCID: PMC7176040, DOI: 10.1097/qai.0000000000002130.Peer-Reviewed Original ResearchConceptsIllicit substance useHazardous alcoholSerious fallsUninfected comparatorsMedication classesOpioid prescriptionsSubstance useHIV statusMuscle relaxantsRisk factorsVeterans Aging Cohort StudyAging Cohort StudyIllicit substance abuseUnconditional logistic regressionNon-ART medicationsHazardous alcohol useSubstance use/abuseCase-control designKey risk factorsUse/abuseCohort studyMedication countInjury codesDuration of observationBaseline datePatterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study
Rentsch CT, Edelman EJ, Justice AC, Marshall BDL, Xu K, Smith AH, Crystal S, Gaither JR, Gordon AJ, Smith RV, Kember RL, Polimanti R, Gelernter J, Fiellin DA, Tate JP, Kranzler HR, Becker WC. Patterns and Correlates of Prescription Opioid Receipt Among US Veterans: A National, 18-Year Observational Cohort Study. AIDS And Behavior 2019, 23: 3340-3349. PMID: 31317364, PMCID: PMC7344341, DOI: 10.1007/s10461-019-02608-3.Peer-Reviewed Original ResearchConceptsOpioid use disorderOpioid receiptCohort studyLong-term opioid therapyVeterans Aging Cohort StudyLatent growth mixture modellingPrescription opioid receiptObservational cohort studyAging Cohort StudyOpioid therapyCause mortalityHepatitis COpioid prescriptionsFuture prevention researchOUD diagnosisGrowth mixture modellingUS veteransHigh prevalenceLow doseHigh incidenceUse disordersPrevention researchGenetic discoveriesReceiptHIVAssociation Between Gabapentin Receipt for Any Indication and Alcohol Use Disorders Identification Test—Consumption Scores Among Clinical Subpopulations With and Without Alcohol Use Disorder
Rentsch CT, Fiellin DA, Bryant KJ, Justice AC, Tate JP. Association Between Gabapentin Receipt for Any Indication and Alcohol Use Disorders Identification Test—Consumption Scores Among Clinical Subpopulations With and Without Alcohol Use Disorder. Alcohol Clinical And Experimental Research 2019, 43: 522-530. PMID: 30620410, PMCID: PMC6397056, DOI: 10.1111/acer.13953.Peer-Reviewed Original ResearchConceptsAlcohol use disorderAlcohol Use Disorders Identification Test-Consumption scoresAUDIT-C scoresAlcohol consumptionUnexposed patientsClinical trialsUse disordersBaseline levelsVeterans Aging Cohort StudyDoses of gabapentinAging Cohort StudyImpact of gabapentinSubstance use treatmentDifferences linear regression modelGabapentin doseCohort studyCurrent medicationsBaseline auditMultivariable differenceClinical indicationsAUD historyPatientsGabapentinClinical subpopulationsConsecutive daysMedical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States
Rentsch CT, Tate JP, Steel T, Butt AA, Gibert CL, Huang L, Pisani M, Soo Hoo GW, Crystal S, Rodriguez-Barradas MC, Brown ST, Freiberg MS, Graber CJ, Kim JW, Rimland D, Justice AC, Fiellin DA, Crothers KA, Akgün KM. Medical Intensive Care Unit Admission Among Patients With and Without HIV, Hepatitis C Virus, and Alcohol-Related Diagnoses in the United States. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2019, 80: 145-151. PMID: 30422912, PMCID: PMC6701630, DOI: 10.1097/qai.0000000000001904.Peer-Reviewed Original ResearchConceptsHepatitis C virusAlcohol-related diagnosesAdmission ratesMICU admissionAdmission riskC virusRelative riskIntensive care unit admission rateMedical intensive care unit admissionAge-adjusted admission ratesHCV mono-infected patientsIntensive care unit admissionVeterans Aging Cohort StudyHCV care providersCare unit admissionAging Cohort StudyAdjusted rate ratiosConfidence intervalsVeterans Health AdministrationUnhealthy alcohol useHIV monoHIV-/HCVUnit admissionCause hospitalizationHCV infection
2016
Baseline, Time-Updated, and Cumulative HIV Care Metrics for Predicting Acute Myocardial Infarction and All-Cause Mortality
Salinas JL, Rentsch C, Marconi VC, Tate J, Budoff M, Butt AA, Freiberg MS, Gibert CL, Goetz MB, Leaf D, Rodriguez-Barradas MC, Justice AC, Rimland D. Baseline, Time-Updated, and Cumulative HIV Care Metrics for Predicting Acute Myocardial Infarction and All-Cause Mortality. Clinical Infectious Diseases 2016, 63: 1423-1430. PMID: 27539575, PMCID: PMC5106607, DOI: 10.1093/cid/ciw564.Peer-Reviewed Original ResearchConceptsAcute myocardial infarctionIncident acute myocardial infarctionVeterans Aging Cohort StudyCombination antiretroviral therapyCardiovascular risk factorsHIV-1 RNAVACS IndexHazard ratioMyocardial infarctionRisk factorsMultivariable proportional hazards modelsVACS Index scoreLast clinic visitAging Cohort StudyHuman immunodeficiency virusProportional hazards modelCART initiationAntiretroviral therapyCause mortalityCD4 countClinic visitsCohort studyOrgan injuryPrimary outcomeImmunodeficiency virus