2021
HIV Infection and the Risk of World Health Organization–Defined Sudden Cardiac Death
Freiberg MS, Duncan MS, Alcorn C, Chang C, Kundu S, Mumpuni A, Smith EK, Loch S, Bedigian A, Vittinghoff E, So‐Armah K, Hsue PY, Justice AC, Tseng ZH. HIV Infection and the Risk of World Health Organization–Defined Sudden Cardiac Death. Journal Of The American Heart Association 2021, 10: e021268. PMID: 34493058, PMCID: PMC8649505, DOI: 10.1161/jaha.121.021268.Peer-Reviewed Original ResearchConceptsHIV viral loadCD4 cell countFirst clinical visitHIV infectionViral loadSCD riskCell countWorld Health OrganizationCopies/Elevated HIV viral loadLow CD4 cell countsSudden cardiac death rateVeterans Aging Cohort StudyCox proportional hazards regressionHealth OrganizationConclusions HIV infectionSCD risk factorsCardiac death rateAging Cohort StudyProportional hazards regressionSudden cardiac deathCells/Mean baseline ageRace/ethnicityCohort study
2019
Emulating a trial of joint dynamic strategies: An application to monitoring and treatment of HIV‐positive individuals
Caniglia EC, Robins JM, Cain LE, Sabin C, Logan R, Abgrall S, Mugavero MJ, Hernández‐Díaz S, Meyer L, Seng R, Drozd DR, Seage G, Bonnet F, Le Marec F, Moore RD, Reiss P, Sighem A, Mathews WC, Jarrín I, Alejos B, Deeks SG, Muga R, Boswell SL, Ferrer E, Eron JJ, Gill J, Pacheco A, Grinsztejn B, Napravnik S, Jose S, Phillips A, Justice A, Tate J, Bucher HC, Egger M, Furrer H, Miro JM, Casabona J, Porter K, Touloumi G, Crane H, Costagliola D, Saag M, Hernán MA. Emulating a trial of joint dynamic strategies: An application to monitoring and treatment of HIV‐positive individuals. Statistics In Medicine 2019, 38: 2428-2446. PMID: 30883859, PMCID: PMC6499640, DOI: 10.1002/sim.8120.Peer-Reviewed Original ResearchConceptsHIV-positive individualsCopies/First-line treatment regimenAIDS Research NetworkAIDS-free survivalCells/Integrated Clinical SystemsHIV-CAUSAL CollaborationOutcomes of interestRisk difference estimatesDirect effectAntiretroviral therapyHIV RNACD4 thresholdTreatment regimenNew regimenTreatment strategiesHIV researchTarget trialsRegimenTherapyResearch NetworkTrialsSurvivalClinical systems
2015
Using observational data to emulate a randomized trial of dynamic treatment-switching strategies: an application to antiretroviral therapy
Cain LE, Saag MS, Petersen M, May MT, Ingle SM, Logan R, Robins JM, Abgrall S, Shepherd BE, Deeks SG, Gill M, Touloumi G, Vourli G, Dabis F, Vandenhende MA, Reiss P, van Sighem A, Samji H, Hogg RS, Rybniker J, Sabin CA, Jose S, del Amo J, Moreno S, Rodríguez B, Cozzi-Lepri A, Boswell SL, Stephan C, Pérez-Hoyos S, Jarrin I, Guest JL, Monforte A, Antinori A, Moore R, Campbell CN, Casabona J, Meyer L, Seng R, Phillips AN, Bucher HC, Egger M, Mugavero MJ, Haubrich R, Geng EH, Olson A, Eron JJ, Napravnik S, Kitahata MM, Van Rompaey SE, Teira R, Justice AC, Tate JP, Costagliola D, Sterne JA, Hernán MA, Systems A. Using observational data to emulate a randomized trial of dynamic treatment-switching strategies: an application to antiretroviral therapy. International Journal Of Epidemiology 2015, 45: 2038-2049. PMID: 26721599, PMCID: PMC5841611, DOI: 10.1093/ije/dyv295.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyCopies/Antiretroviral Therapy Cohort CollaborationTime-varying covariatesTight control groupAdjusted hazard ratioAntiretroviral therapy regimenAIDS Research NetworkIntegrated Clinical SystemsHIV-CAUSAL CollaborationDeath eventsCohort CollaborationHazard ratioTherapy regimenRandomized trialsInverse probability weightingInclusion criteriaMortality analysisClinical treatmentAIDSTherapyDeath analysisDeathTrialsComparative effects
2013
Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients
Gandhi NR, Tate JP, Rodriguez‐Barradas M, Rimland D, Goetz MB, Gibert C, Brown ST, Mattocks K, Justice AC. Validation of an algorithm to identify antiretroviral‐naïve status at time of entry into a large, observational cohort of HIV‐infected patients. Pharmacoepidemiology And Drug Safety 2013, 22: 1019-1025. PMID: 23836591, PMCID: PMC3831617, DOI: 10.1002/pds.3476.Peer-Reviewed Original ResearchConceptsART-naïve patientsViral load thresholdMedical record reviewAntiretroviral treatmentMedical recordsHIV cohortObservational cohortRecord reviewVeterans Aging Cohort Study Virtual CohortVirtual cohortPrevious antiretroviral treatmentLaboratory dataPatients' medical recordsPositive predictive value 87Cohort entryAdverse eventsHIV outcomesRandomized trialsRetrospective studyAdverse reactionsTime of entryCopies/ART treatmentTreatment statusTreatment history
2009
Prognosis of patients treated with cART from 36 months after initiation, according to current and previous CD4 cell count and plasma HIV-1 RNA measurements
Lanoy E, May M, Mocroft A, Phillip A, Justice A, Chêne G, Furrer H, Sterling T, Monforte A, Force L, Gill J, Harris R, Hogg R, Rockstroh J, Saag M, Khaykin P, de Wolf F, Sterne J, Costagliola D. Prognosis of patients treated with cART from 36 months after initiation, according to current and previous CD4 cell count and plasma HIV-1 RNA measurements. AIDS 2009, 23: 2199-2208. PMID: 19779320, PMCID: PMC3122149, DOI: 10.1097/qad.0b013e3283305a00.Peer-Reviewed Original ResearchConceptsCombination antiretroviral therapyCD4 cell countHIV-1-infected patientsHIV-1 RNAViral loadCART initiationCell countStart of cARTHIV-1 RNA measurementsART Cohort CollaborationMedian CD4 cellPredictors of AIDSRates of AIDSImportant prognostic factorPrognosis of patientsCohort CollaborationSubsequent AIDSAntiretroviral therapyHIV cohortCD4 cellsPrognostic factorsPrognostic importanceCopies/PatientsAIDSMortality of HIV-infected patients starting potent antiretroviral therapy: comparison with the general population in nine industrialized countries
Zwahlen M, Harris R, May M, Hogg R, Costagliola D, de Wolf F, Gill J, Fätkenheuer G, Lewden C, Saag M, Staszewski S, d'Arminio Monforte A, Casabona J, Lampe F, Justice A, von Wyl V, Egger M. Mortality of HIV-infected patients starting potent antiretroviral therapy: comparison with the general population in nine industrialized countries. International Journal Of Epidemiology 2009, 38: 1624-1633. PMID: 19820106, PMCID: PMC3119390, DOI: 10.1093/ije/dyp306.Peer-Reviewed Original ResearchMeSH KeywordsAcquired Immunodeficiency SyndromeAdultAnti-Retroviral AgentsAntiretroviral Therapy, Highly ActiveCause of DeathCD4 Lymphocyte CountCohort StudiesFemaleHIVHIV InfectionsHomosexuality, MaleHumansMaleMortalityPrevalenceProspective StudiesRisk FactorsSubstance Abuse, IntravenousViral LoadVirus ReplicationConceptsCD4 cell countAntiretroviral therapyCells/microLGeneral populationCell countEligible patientsExcess mortalityCopies/Start of ARTViral replicationART Cohort CollaborationCorresponding general populationMortality of HIVPotent antiretroviral therapyCombination antiretroviral therapyPercentage of patientsProspective cohort studyInjection drug useViral load measurementsNumber of deathsCohort CollaborationCohort studyMedian ageViral loadClinical stage
2008
Influence of alternative thresholds for initiating HIV treatment on quality-adjusted life expectancy: a decision model.
Braithwaite RS, Roberts MS, Chang CC, Goetz MB, Gibert CL, Rodriguez-Barradas MC, Shechter S, Schaefer A, Nucifora K, Koppenhaver R, Justice AC. Influence of alternative thresholds for initiating HIV treatment on quality-adjusted life expectancy: a decision model. Annals Of Internal Medicine 2008, 148: 178-85. PMID: 18252681, PMCID: PMC3124094, DOI: 10.7326/0003-4819-148-3-200802050-00004.Peer-Reviewed Original ResearchConceptsAntiretroviral therapyViral loadHIV treatmentEarly treatmentEarly initiationLife expectancyVeterans Aging Cohort StudyChronic HIV infectionCombination antiretroviral therapyEarly treatment initiationAging Cohort StudyTherapy-related toxicityAge 40 yearsQuality-adjusted life expectancyAge 30 yearsBase-case analysisCohort studyHIV infectionTreatment initiationCopies/Current recommendationsLate treatmentImportant harmsTherapyTreatment
2005
Incidence of Tuberculosis among HIV-Infected Patients Receiving Highly Active Antiretroviral Therapy in Europe and North America
Girardi E, Sabin CA, d'Arminio Monforte A, Hogg B, Phillips AN, Gill MJ, Dabis F, Reiss P, Kirk O, Bernasconi E, Grabar S, Justice A, Staszewski S, Fätkenheuer G, Sterne JA. Incidence of Tuberculosis among HIV-Infected Patients Receiving Highly Active Antiretroviral Therapy in Europe and North America. Clinical Infectious Diseases 2005, 41: 1772-1782. PMID: 16288403, DOI: 10.1086/498315.Peer-Reviewed Original ResearchConceptsIncidence of tuberculosisMonths of HAARTMultivariable analysisMultivariable Poisson regression modelsInitiation of HAARTLevel of immunodeficiencyLower baseline CD4Active antiretroviral therapyHIV RNA levelsRisk of tuberculosisInjection drug usersMode of transmissionPoisson regression modelsBaseline CD4HAART initiationHigher CD4Antiretroviral therapyTB epidemicIncidence rateCopies/HAARTDrug usersPatientsTuberculosisCD4
2004
Effect of Persistent Moderate Viremia on Disease Progression During HIV Therapy
Raffanti SP, Fusco JS, Sherrill BH, Hansen NI, Justice AC, D’Aquila R, Mangialardi WJ, Fusco GP. Effect of Persistent Moderate Viremia on Disease Progression During HIV Therapy. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2004, 37: 1147-1154. PMID: 15319674, DOI: 10.1097/01.qai.0000136738.24090.d0.Peer-Reviewed Original ResearchConceptsHIV-1 RNA levelsCopies/mLBaseline HIV-1 RNA levelsNew AIDSCopies/Moderate viremiaRNA levelsPlasma HIV-1 RNAAIDS-defining diagnosisAntiretroviral therapy historyActive antiretroviral therapyUnited States cohortHIV-1 RNACells/Proportional hazards modelCD4 count changesImmunologic deteriorationAntiretroviral therapyCD4 countPrior AIDSUndetectable viremiaViral suppressionImmunologic statusHIV infectionClinical benefit
2001
Veterans aging cohort three-site study (VACS 3) overview and description
Smola S, Justice AC, Wagner J, Rabeneck L, Weissman S, Rodriguez-Barradas M, Team F. Veterans aging cohort three-site study (VACS 3) overview and description. Journal Of Clinical Epidemiology 2001, 54: s61-s76. PMID: 11750212, DOI: 10.1016/s0895-4356(01)00448-6.Peer-Reviewed Original ResearchConceptsHIV infectionProvider surveyVeterans Affairs Medical CenterMedian CD4 countVeterans Aging CohortMedian viral loadUse of cigarettesFuture clinical interventionsInfluence of ageCD4 countAntiretroviral medicationsComorbid diseasesDisease clinicViral loadPoor outcomeMean ageThree-site studyAlternative therapiesAge-related differencesCopies/Medical CenterHIVAging CohortTwelve-monthClinical interventions