2018
Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality
Zhang X, Hu Y, Aouizerat BE, Peng G, Marconi VC, Corley MJ, Hulgan T, Bryant KJ, Zhao H, Krystal JH, Justice AC, Xu K. Machine learning selected smoking-associated DNA methylation signatures that predict HIV prognosis and mortality. Clinical Epigenetics 2018, 10: 155. PMID: 30545403, PMCID: PMC6293604, DOI: 10.1186/s13148-018-0591-z.Peer-Reviewed Original ResearchConceptsWhite blood cellsSmoking-associated DNA methylationHIV prognosisInfection-related clinical outcomesBlood cellsSmoking-associated CpGsHIV-positive individualsImmune-related outcomesEpigenome-wide significant CpGsClinical outcomesTobacco smokingVeteran populationSurvival rateDNA methylation indexMortalityFrailtyHIVMethylation indexPrognosisMethylation signaturesDNA methylationOutcomesCell cycleCpGSignificant CpGsCorrection to: Association of Cannabis, Stimulant, and Alcohol use with Mortality Prognosis Among HIV-Infected Men
Adams JW, Bryant KJ, Edelman EJ, Fiellin DA, Gaither JR, Gordon AJ, Gordon KS, Kraemer KL, Mimiaga MJ, Operario D, Tate JP, van den Berg JJ, Justice AC, Marshall BDL. Correction to: Association of Cannabis, Stimulant, and Alcohol use with Mortality Prognosis Among HIV-Infected Men. AIDS And Behavior 2018, 22: 2382-2382. PMID: 29520509, DOI: 10.1007/s10461-018-2075-8.Peer-Reviewed Case Reports and Technical Notes
2006
HIV treatment response and prognosis in Europe and North America in the first decade of highly active antiretroviral therapy: a collaborative analysis
May MT, Sterne JA, Costagliola D, Sabin CA, Phillips AN, Justice AC, Dabis F, Gill J, Lundgren J, Hogg RS, de Wolf F, Fätkenheuer G, Staszewski S, d'Arminio Monforte A, Egger M. HIV treatment response and prognosis in Europe and North America in the first decade of highly active antiretroviral therapy: a collaborative analysis. The Lancet 2006, 368: 451-458. PMID: 16890831, DOI: 10.1016/s0140-6736(06)69152-6.Peer-Reviewed Original ResearchConceptsActive antiretroviral therapyCD4 cell countAntiretroviral therapyHazard ratioTreatment responseTreatment-naive HIV-1-infected adultsCell countHIV-1-infected adultsMedian CD4 cell countHIV-1 RNA copiesCharacteristics of patientsHIV-1 RNAShort-term prognosisHIV treatment responseProportion of womenPrimary endpointVirological responseCohort studyHIV infectionCox regressionHAARTPatientsRNA copiesCorresponding figurePrognosis