2024
Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records
Ryuk D, Pelissari D, Alves K, Oliveira P, Castro M, Cohen T, Sanchez M, Menzies N. Predictors of unsuccessful tuberculosis treatment outcomes in Brazil: an analysis of 259,484 patient records. BMC Infectious Diseases 2024, 24: 531. PMID: 38802744, PMCID: PMC11129366, DOI: 10.1186/s12879-024-09417-7.Peer-Reviewed Original ResearchConceptsTreatment outcomesFactors associated with unsuccessful treatment outcomesHigher risk of poor treatment outcomeTB treatmentRisk of poor treatment outcomesUnsuccessful treatmentEffectiveness of TB treatmentAssociated with unsuccessful treatmentUnsuccessful treatment outcomesTuberculosis treatment outcomesDrug-susceptible TBHealth system levelMultivariate logistic regression modelService-related factorsTB drug resistanceComorbid health conditionsHealth-related behaviorsCategorizing treatment outcomesPatient-level factorsClinical examination resultsNational Disease Notification SystemPoor treatment outcomesDisease notification systemHIV infectionLogistic regression models
2017
A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis
Fofana MO, Shrestha S, Knight GM, Cohen T, White RG, Cobelens F, Dowdy DW. A Multistrain Mathematical Model To Investigate the Role of Pyrazinamide in the Emergence of Extensively Drug-Resistant Tuberculosis. Antimicrobial Agents And Chemotherapy 2017, 61: 10.1128/aac.00498-16. PMID: 27956422, PMCID: PMC5328532, DOI: 10.1128/aac.00498-16.Peer-Reviewed Original ResearchMeSH KeywordsAntitubercular AgentsBayes TheoremBiological AvailabilityComputer SimulationDrug Administration ScheduleDrug Resistance, Multiple, BacterialExtensively Drug-Resistant TuberculosisFluoroquinolonesHumansMicrobial Sensitivity TestsModels, StatisticalMycobacterium tuberculosisPyrazinamideRifampinTuberculosis, PulmonaryConceptsCompanion drugsExtensively Drug-Resistant TuberculosisSecond-line treatmentFirst-line treatmentSecond-line regimensDrug-resistant tuberculosisUse of pyrazinamideExtensive drug resistanceDrug resistance dataEmergence of strainsEmergence of mutationsXDR-TBSequential regimensHIV infectionAlternative drugsResistance amplificationPyrazinamide resistanceProlonged treatmentCombination antimicrobialsDrug resistanceInfectious diseasesPrevalenceProportion of simulationsAppropriate useRegimens
2015
HIV burden in men who have sex with men: a prospective cohort study 2007–2012
Jia Z, Huang X, Wu H, Zhang T, Li N, Ding P, Sun Y, Liu Z, Wei F, Zhang H, Jiao Y, Ji Y, Zhang Y, Guo C, Li W, Mou D, Xia W, Li Z, Chen D, Yan H, Chen X, Zhao J, Meyers K, Cohen T, Mayer K, Salomon JA, Lu Z, Dye C. HIV burden in men who have sex with men: a prospective cohort study 2007–2012. Scientific Reports 2015, 5: 11205. PMID: 26135810, PMCID: PMC5393284, DOI: 10.1038/srep11205.Peer-Reviewed Original ResearchConceptsHIV infectionHIV-negative MSMProspective cohort studyHIV incidence ratesIntensive preventive interventionIncident HIVCohort studyHIV burdenHIV incidenceIncident casesRisk factorsIncidence rateEarly treatmentPrevalent casesChinese MSMHIVPreventive interventionsInfectionMSMFollowPerfect complianceMenEnrollmentSyphilisCohort
2013
HIV burden in men who have sex with men: a prospective cohort study during 2007–12 in Beijing, China
Jia Z, Huang X, Wu H, Li N, Li Q, Liu Z, Cohen T, Mayer K, Dye C, Salomon J. HIV burden in men who have sex with men: a prospective cohort study during 2007–12 in Beijing, China. The Lancet 2013, 382: s19. DOI: 10.1016/s0140-6736(13)62267-9.Peer-Reviewed Original ResearchProspective cohort studyHIV infectionCondom useCasual partnershipsSteady partnershipsCohort studyHIV antibodiesHIV incidenceDisease burdenPrevalent casesStudy participantsCox proportional hazards modelLower HIV incidenceHIV-negative MSMProportional hazards modelConsistent condom useSexual behaviorSelf-reported condom useSpread of HIVPrevious serological testsUse of condomsLeast high school educationMost study participantsFinal visitBaseline visit
2012
Modeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis
Sergeev R, Colijn C, Murray M, Cohen T. Modeling the Dynamic Relationship Between HIV and the Risk of Drug-Resistant Tuberculosis. Science Translational Medicine 2012, 4: 135ra67. PMID: 22623743, PMCID: PMC3387814, DOI: 10.1126/scitranslmed.3003815.Peer-Reviewed Original ResearchConceptsMultidrug-resistant TBDrug-resistant tuberculosisDrug-resistant TBHIV-seropositive individualsHIV statusTB patientsLatent Mycobacterium tuberculosis infectionIndividual HIV statusIncident HIV infectionMultidrug-resistant tuberculosisMycobacterium tuberculosis infectionEffects of HIVCross-sectional studyDrug-resistant formsRise of HIVIndividual-level associationsAcquisition of resistanceAverage CD4HIV infectionResistance-conferring mutationsTB controlTuberculosis infectionResistant tuberculosisTB drugsHIV epidemic