2009
Timing of initiation of antiretroviral therapy in AIDS-free HIV-1-infected patients: a collaborative analysis of 18 HIV cohort studies
Sterne J, May M, Costagliola D, de Wolf F, Phillips A, Harris R, Funk M, Geskus R, Gill J, Dabis F, Miró J, Justice A, Ledergerber B, Fätkenheuer G, Hogg R, Monforte A, Saag M, Smith C, Staszewski S, Egger M, Cole S. Timing of initiation of antiretroviral therapy in AIDS-free HIV-1-infected patients: a collaborative analysis of 18 HIV cohort studies. The Lancet 2009, 373: 1352-1363. PMID: 19361855, PMCID: PMC2670965, DOI: 10.1016/s0140-6736(09)60612-7.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntiretroviral Therapy, Highly ActiveCD4 Lymphocyte CountCohort StudiesDisease ProgressionDrug Administration ScheduleEuropeFemaleHIV InfectionsHIV-1HumansKaplan-Meier EstimateMaleMiddle AgedNorth AmericaPatient SelectionPractice Guidelines as TopicProportional Hazards ModelsSensitivity and SpecificityTime FactorsTreatment OutcomeConceptsHIV-1-infected patientsCombination antiretroviral therapyCD4 cell countAntiretroviral therapyCombination therapyCohort studyCell countCD4 cell count rangeCD4 cell count thresholdAntiretroviral-naive patientsProspective cohort studyHIV Cohort StudyRates of AIDSStart of treatmentHigh mortality rateAbsence of treatmentTiming of initiationDeath eventsCell count thresholdTherapy groupImmediate initiationPatientsMortality rateTherapyAIDS
2006
Rate and predictors of treatment prescription for hepatitis C
Butt AA, Justice AC, Skanderson M, Rigsby MO, Good CB, Kwoh CK. Rate and predictors of treatment prescription for hepatitis C. Gut 2006, 56: 385. PMID: 17005764, PMCID: PMC1856823, DOI: 10.1136/gut.2006.099150.Peer-Reviewed Original ResearchConceptsHepatitis C virusNational Patient Care DatabaseTreatment prescriptionPrescription ratesAlcohol abuseVeterans Affairs National Patient Care DatabaseDiagnosis of HCVPharmacy Benefits Management databaseMultivariate logistic regression modelHepatitis B infectionCoronary artery diseasePatient Care DatabasePsychiatric comorbid conditionsNon-white raceLogistic regression analysisPredictors of treatmentAlcohol use diagnosisLogistic regression modelsB infectionComorbid illnessesHepatitis CArtery diseaseLiver cirrhosisComorbid conditionsHispanic raceVeterans Aging Cohort Study (VACS)
Justice AC, Dombrowski E, Conigliaro J, Fultz SL, Gibson D, Madenwald T, Goulet J, Simberkoff M, Butt AA, Rimland D, Rodriguez-Barradas MC, Gibert CL, Oursler KA, Brown S, Leaf DA, Goetz MB, Bryant K. Veterans Aging Cohort Study (VACS). Medical Care 2006, 44: s13-s24. PMID: 16849964, PMCID: PMC3049942, DOI: 10.1097/01.mlr.0000223741.02074.66.Peer-Reviewed Original ResearchConceptsVeterans Aging Cohort StudyHuman immunodeficiency virusAging Cohort StudyCohort studyHIV infectionGeneral medical clinicMultisite observational studyElectronic medical record systemRace/ethnicityUninfected patientsBaseline characteristicsMedical record systemTarget enrollmentImmunodeficiency virusObservational studyNational VAMedical clinicsInfectious diseasesDisease controlTelephone interviewsStudy designAlcohol useEnrollment targetsCareVeterans
2005
Algorithm for assessing patients' adherence to oral hypoglycemic medication.
Kilbourne AM, Good CB, Sereika SM, Justice AC, Fine MJ. Algorithm for assessing patients' adherence to oral hypoglycemic medication. American Journal Of Health-System Pharmacy 2005, 62: 198-204. PMID: 15700895, DOI: 10.1093/ajhp/62.2.198.Peer-Reviewed Original Research