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
2023
Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis
Gunasekera K, Marcy O, Muñoz J, Lopez-Varela E, Sekadde M, Franke M, Bonnet M, Ahmed S, Amanullah F, Anwar A, Augusto O, Aurilio R, Banu S, Batool I, Brands A, Cain K, Carratalá-Castro L, Caws M, Click E, Cranmer L, García-Basteiro A, Hesseling A, Huynh J, Kabir S, Lecca L, Mandalakas A, Mavhunga F, Myint A, Myo K, Nampijja D, Nicol M, Orikiriza P, Palmer M, Sant'Anna C, Siddiqui S, Smith J, Song R, Thuong Thuong N, Ung V, van der Zalm M, Verkuijl S, Viney K, Walters E, Warren J, Zar H, Marais B, Graham S, Debray T, Cohen T, Seddon J. Development of treatment-decision algorithms for children evaluated for pulmonary tuberculosis: an individual participant data meta-analysis. The Lancet Child & Adolescent Health 2023, 7: 336-346. PMID: 36924781, PMCID: PMC10127218, DOI: 10.1016/s2352-4642(23)00004-4.Peer-Reviewed Original ResearchConceptsTreatment decision algorithmsPrimary health care settingsIndividual participant dataHigh tuberculosis incidencePulmonary tuberculosisManagement of tuberculosisHealth care centersComposite reference standardHealth care settingsClinical featuresTuberculosis incidenceClinical evaluationParticipant dataTreatment decisionsChest X-ray featuresPrimary health care centersFuture prospective evaluationTuberculosis-related mortalityEvidence-based algorithmChest X-rayVariable diagnostic performanceMultivariable prediction modelReference standardEvidence-based approachTuberculosis experts
2021
Global estimates of paediatric tuberculosis incidence in 2013–19: a mathematical modelling analysis
Yerramsetti S, Cohen T, Atun R, Menzies NA. Global estimates of paediatric tuberculosis incidence in 2013–19: a mathematical modelling analysis. The Lancet Global Health 2021, 10: e207-e215. PMID: 34895517, PMCID: PMC8800006, DOI: 10.1016/s2214-109x(21)00462-9.Peer-Reviewed Original ResearchConceptsPediatric tuberculosisTuberculosis incidenceStudy periodIncident tuberculosis casesTuberculosis incidence rateReporting systemHigh-burden settingsGlobal tuberculosis burdenTuberculosis natural historyPediatric incidenceInfectious exposurePrompt diagnosisSubstantial morbidityTuberculosis burdenTuberculosis casesIncidence rateRisk factorsCase detectionGlobal incidenceProbability of infectionInfected individualsAge groupsNatural historyTuberculosisIncidenceTrends, Mechanisms, and Racial/Ethnic Differences of Tuberculosis Incidence in the US-Born Population Aged 50 Years or Older in the United States
Kim S, Cohen T, Horsburgh CR, Miller JW, Hill AN, Marks SM, Li R, Kammerer JS, Salomon JA, Menzies NA. Trends, Mechanisms, and Racial/Ethnic Differences of Tuberculosis Incidence in the US-Born Population Aged 50 Years or Older in the United States. Clinical Infectious Diseases 2021, 74: 1594-1603. PMID: 34323959, PMCID: PMC8799750, DOI: 10.1093/cid/ciab668.Peer-Reviewed Original ResearchConceptsAnnual percentage declineIncidence rateRemote infectionBirth cohortOlder individualsPercentage declineUS National TB Surveillance SystemAverage annual percentage declineNational TB Surveillance SystemRace/ethnicity strataTB incidence rateTB surveillance systemLow-incidence settingsEthnic differencesEarlier birth cohortsRecent birth cohortsRace/ethnicityOverall cohortTB casesTB incidenceIncidence settingsRecent infectionTB ratesTuberculosis incidenceRisk factorsDevelopment of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis
Gunasekera KS, Walters E, van der Zalm MM, Palmer M, Warren JL, Hesseling AC, Cohen T, Seddon JA. Development of a Treatment-decision Algorithm for Human Immunodeficiency Virus–uninfected Children Evaluated for Pulmonary Tuberculosis. Clinical Infectious Diseases 2021, 73: e904-e912. PMID: 33449999, PMCID: PMC8366829, DOI: 10.1093/cid/ciab018.Peer-Reviewed Original ResearchConceptsPulmonary tuberculosisClinical evidenceXpert MTB/RIFBaseline clinical evaluationChest radiographic resultsRapid treatment initiationNational Tuberculosis ProgrammeTreatment decision algorithmsEvidence-based algorithmMTB/RIFDiagnosis of tuberculosisChest radiographicAntituberculosis treatmentProspective cohortRadiographic resultsTreatment initiationTuberculosis casesTuberculosis ProgrammeClinical evaluationCase definitionTreatment decisionsGlobal burdenChildhood mortalityChildren EvaluatedRapid clinical diagnosis
2020
Ongoing challenges to understanding multidrug- and rifampicin-resistant tuberculosis in children versus adults
McQuaid CF, Cohen T, Dean AS, Houben RMGJ, Knight GM, Zignol M, White RG. Ongoing challenges to understanding multidrug- and rifampicin-resistant tuberculosis in children versus adults. European Respiratory Journal 2020, 57: 2002504. PMID: 32855219, DOI: 10.1183/13993003.02504-2020.Peer-Reviewed Original ResearchConceptsMDR/RR-TBRR-TBOdds ratioPediatric TB casesGlobal TB epidemicRifampicin-resistant tuberculosisPopulation-representative surveyTB casesBurden countriesTB epidemicMost settingsTuberculosisDrug resistanceTransmission riskCountry-specific estimatesAdultsChildrenAgeFurther investigationMultidrugOddsFormer Soviet Union countriesSufficient dataSettingSoviet Union countriesTransmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis.
Crawford FW, Marx FM, Zelner J, Cohen T. Transmission Modeling with Regression Adjustment for Analyzing Household-based Studies of Infectious Disease: Application to Tuberculosis. Epidemiology 2020, 31: 238-247. PMID: 31764276, PMCID: PMC7718772, DOI: 10.1097/ede.0000000000001143.Peer-Reviewed Original ResearchConceptsSusceptible household contactsHousehold contactsTB casesBacillus Calmette-Guérin (BCG) vaccinationInfected household contactsIsoniazid preventive therapyActive tuberculosis casesCulture-positive casesRisk of diseaseCohort studyMicrobiological confirmationPreventive therapyTuberculosis casesRisk factorsInfection resultsAdult contactsInfection riskInfectious diseasesLogistic regressionRate of transmissionTransmissible diseasesDiseaseIndividual-level characteristicsHigher hazardDisease susceptibilityThe risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis
Martinez L, Cords O, Horsburgh C, Andrews J, Consortium P, Acuna-Villaorduna C, Ahuja S, Altet N, Augusto O, Baliashvili D, Basu S, Becerra M, Bonnet M, Boom W, Borgdorff M, Boulahbal F, Carvalho A, Cayla J, Chakhaia T, Chan P, Cohen T, Croda J, Datta S, del Corral H, Denholm J, Dietze R, Dobler C, Donkor S, Egere U, Ellner J, Espinal M, Evans C, Fang C, Fielding K, Fox G, García L, García-Basteiro A, Geis S, Graham S, Grandjean L, Hannoun D, Hatherill M, Hauri A, Hesseling A, Hill P, Huang L, Huerga H, Hussain R, Jarlsberg L, Jones-López E, Kato S, Kato-Maeda M, Kampmann B, Kirchner H, Kritski A, Lange C, Lee C, Lee L, Lee M, Lemos A, Lienhardt C, Ling D, Liu Q, Lo N, Long R, Lopez-Varela E, Lu P, Magee M, Malone L, Mandalakas A, Martinson N, Mazahir R, Murray M, Netto E, Otero L, Parsonnet J, Reingold A, Schaaf H, Seddon J, Sharma S, Singh J, Singh S, Sloot R, Sotgiu G, Stein C, Iqbal N, Triasih R, Trieu L, van der Loeff M, Van der Stuyft P, van Schalkwyk C, Vashishtha R, Verhagen L, Villalba J, Wang J, Whalen C, Yoshiyama T, Zar H, Zellweger J, Zhu L. The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis. The Lancet 2020, 395: 973-984. PMID: 32199484, PMCID: PMC7289654, DOI: 10.1016/s0140-6736(20)30166-5.Peer-Reviewed Original ResearchConceptsYears of agePreventive therapyIncident tuberculosisTuberculosis infectionHazard ratioTuberculosis casesMixed-effects Poisson regression modelsSystematic reviewFinal analysisClose exposureIncident tuberculosis casesRisk of tuberculosisDevelopment of tuberculosisEMBASE electronic databasesIndividual participant dataPositive resultsPoisson regression modelsWeb of ScienceMixed-effects logistic modelBCG vaccinationCohort studyBaseline visitPrevalent tuberculosisContact investigationProspective studyComparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California
Menzies NA, Parriott A, Shrestha S, Dowdy DW, Cohen T, Salomon JA, Marks SM, Hill AN, Winston CA, Asay GR, Barry P, Readhead A, Flood J, Kahn JG, Shete PB. Comparative Modeling of Tuberculosis Epidemiology and Policy Outcomes in California. American Journal Of Respiratory And Critical Care Medicine 2020, 201: 356-365. PMID: 31626560, PMCID: PMC7464931, DOI: 10.1164/rccm.201907-1289oc.Peer-Reviewed Original ResearchConceptsTB incidenceTB casesAdditional interventionsTuberculosis epidemiologyPublic health prioritizationTreatment of LTBIInfection control interventionsPotential intervention effectsLTBI testingTB servicesLTBI diagnosisLTBI prevalenceAverage annual declineEpidemiologic projectionsSustained reductionTreatment interventionsControl interventionsTB determinantsDefinitive dataIntervention effectsAnnual declineLocal transmissionIncidenceLTBIIntervention
2019
Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study
Becerra MC, Huang CC, Lecca L, Bayona J, Contreras C, Calderon R, Yataco R, Galea J, Zhang Z, Atwood S, Cohen T, Mitnick CD, Farmer P, Murray M. Transmissibility and potential for disease progression of drug resistant Mycobacterium tuberculosis: prospective cohort study. The BMJ 2019, 367: l5894. PMID: 31649017, PMCID: PMC6812583, DOI: 10.1136/bmj.l5894.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAntitubercular AgentsChildChild, PreschoolContact TracingDisease ProgressionFemaleFollow-Up StudiesHumansIncidenceInfantInfant, NewbornIsoniazidKaplan-Meier EstimateMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisPeruProspective StudiesRifampinSputumTuberculin TestTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryYoung AdultConceptsDrug-sensitive tuberculosisMultidrug-resistant tuberculosisHousehold contactsProspective cohort studySensitive tuberculosisTuberculosis infectionResistant tuberculosisCohort studyTuberculosis diseaseHigh riskDrug-resistant Mycobacterium tuberculosisIncident tuberculosis diseasePhenotypic drug resistanceDistrict Health CenterResistant Mycobacterium tuberculosisDrug-susceptible strainsDrug resistance profilesActive diseasePulmonary tuberculosisDisease progressionGuideline producersHealth centersIndex patientsEffective treatmentPatientsNotification of relapse and other previously treated tuberculosis in the 52 health districts of South Africa
Marx F, Cohen T, Lombard C, Hesseling A, Dlamini S, Beyers N, Naidoo P. Notification of relapse and other previously treated tuberculosis in the 52 health districts of South Africa. The International Journal Of Tuberculosis And Lung Disease 2019, 23: 891-899. PMID: 31533878, DOI: 10.5588/ijtld.18.0609.Peer-Reviewed Original ResearchConceptsSouth African health districtTB casesCase notification ratesHealth districtTB burdenNotification ratesHigh case notification ratesHIV co-infection rateHuman immunodeficiency virus (HIV) prevalenceTB case notification ratesAntenatal HIV prevalenceSecondary preventive therapyDrug-susceptible tuberculosisNew TB casesCo-infection rateTreatment history informationPreventive therapyMultivariable analysisHIV prevalenceSouth African districtPatient categoriesRelapseTuberculosisTreatment monitoringVirus prevalence
2018
Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study
Marx FM, Yaesoubi R, Menzies NA, Salomon JA, Bilinski A, Beyers N, Cohen T. Tuberculosis control interventions targeted to previously treated people in a high-incidence setting: a modelling study. The Lancet Global Health 2018, 6: e426-e435. PMID: 29472018, PMCID: PMC5849574, DOI: 10.1016/s2214-109x(18)30022-6.Peer-Reviewed Original ResearchConceptsHigh-incidence settingsIsoniazid preventive therapyPreventive therapyTuberculosis treatmentActive casesHIV prevalenceTuberculosis controlControl interventionsIncident tuberculosis casesPrevious tuberculosis treatmentTuberculosis control interventionsTB case notificationHigh-risk groupTransmission dynamic modelTuberculosis deathsHigh tuberculosisRecurrent diseasePrevalent tuberculosisTuberculosis casesTuberculosis incidenceCase notificationTreatment outcomesTuberculosis morbidityTuberculosis epidemicAdditional interventions
2016
Smear positivity in paediatric and adult tuberculosis: systematic review and meta-analysis
Kunkel A, Abel zur Wiesch P, Nathavitharana RR, Marx FM, Jenkins HE, Cohen T. Smear positivity in paediatric and adult tuberculosis: systematic review and meta-analysis. BMC Infectious Diseases 2016, 16: 282. PMID: 27296716, PMCID: PMC4906576, DOI: 10.1186/s12879-016-1617-9.Peer-Reviewed Original ResearchConceptsPercentage of childrenSmear positivityPooled percentageInverse variance heterogeneity modelPediatric TB casesSmear-positive TBNational TB ProgrammeBurden of TBGlobal Health databasesSputum smear microscopyActive TBAdult tuberculosisPositive TBTB casesTB programsAdult casesPROSPERO databaseSputum smearInclusion criteriaSmear microscopyHealth databasesSystematic reviewAdultsChildrenTuberculosisRapid Drug Susceptibility Testing of Drug-Resistant Mycobacterium tuberculosis Isolates Directly from Clinical Samples by Use of Amplicon Sequencing: a Proof-of-Concept Study
Colman RE, Anderson J, Lemmer D, Lehmkuhl E, Georghiou SB, Heaton H, Wiggins K, Gillece JD, Schupp JM, Catanzaro DG, Crudu V, Cohen T, Rodwell TC, Engelthaler DM. Rapid Drug Susceptibility Testing of Drug-Resistant Mycobacterium tuberculosis Isolates Directly from Clinical Samples by Use of Amplicon Sequencing: a Proof-of-Concept Study. Journal Of Clinical Microbiology 2016, 54: 2058-2067. PMID: 27225403, PMCID: PMC4963505, DOI: 10.1128/jcm.00535-16.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolFemaleGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansMaleMicrobial Sensitivity TestsMiddle AgedMycobacterium tuberculosisPharmaceutical PreparationsPilot ProjectsSequence Analysis, DNASpecimen HandlingSputumTime FactorsYoung AdultConceptsDrug-resistant tuberculosisPatient sputum samplesDrug resistance profilesSputum samplesDrug-resistant Mycobacterium tuberculosis isolatesPhenotypic drug susceptibility testing resultsDrug susceptibility testing resultsEvidence-based treatment plansResistance profilesMajor global health concernRapid drug susceptibility testingMycobacterium tuberculosis isolatesNext-generation sequencingClinical samplesAmplification of resistanceDrug susceptibility testingTargeted Next-Generation SequencingMycobacterium tuberculosis DNAGlobal health concernSusceptibility testing resultsSame clinical samplePhenotypic DSTInfectious causesTreatment outcomesTuberculosis isolates
2015
Counting children with tuberculosis: why numbers matter
Seddon JA, Jenkins HE, Liu L, Cohen T, Black RE, Vos T, Becerra MC, Graham SM, Sismanidis C, Dodd PJ. Counting children with tuberculosis: why numbers matter. The International Journal Of Tuberculosis And Lung Disease 2015, 19: 9-16. PMID: 26564535, PMCID: PMC4708268, DOI: 10.5588/ijtld.15.0471.Peer-Reviewed Original Research
2014
Cigarette smoking among tuberculosis patients increases risk of transmission to child contacts
Huang CC, Tchetgen ET, Becerra MC, Cohen T, Galea J, Calderon R, Yataco R, Contreras C, Zhang ZB, Lecca L, Murray M. Cigarette smoking among tuberculosis patients increases risk of transmission to child contacts. The International Journal Of Tuberculosis And Lung Disease 2014, 18: 1285-1291. PMID: 25299859, DOI: 10.5588/ijtld.14.0309.Peer-Reviewed Original ResearchConceptsLatent tuberculous infectionTuberculin skin testTB patientsIndex caseChild household contactsDrug-susceptible TBIndex TB patientsObservational cohort studySecondhand smoke exposureRisk of transmissionPoisson regression modelsHousehold contactsCohort studyTST positivityTuberculosis patientsTuberculous infectionSmoke exposureSmoking statusTuberculosis casesCigarette smokingSkin testRisk factorsPatientsInfection statusTime pointsAge-Specific Risks of Tuberculosis Infection From Household and Community Exposures and Opportunities for Interventions in a High-Burden Setting
Zelner JL, Murray MB, Becerra MC, Galea J, Lecca L, Calderon R, Yataco R, Contreras C, Zhang Z, Grenfell BT, Cohen T. Age-Specific Risks of Tuberculosis Infection From Household and Community Exposures and Opportunities for Interventions in a High-Burden Setting. American Journal Of Epidemiology 2014, 180: 853-861. PMID: 25190676, PMCID: PMC4188339, DOI: 10.1093/aje/kwu192.Peer-Reviewed Original ResearchConceptsLatent tuberculosis infectionHousehold contactsAge-specific riskYears of ageTuberculosis infectionLarge population-based prospective cohort studyPopulation-based prospective cohort studyHousehold exposureBacillus Calmette-Guérin (BCG) vaccineIncident pulmonary tuberculosisCommunity exposureProspective cohort studyCalmette-Guérin vaccineHigh-burden settingsPublic Health CenterCommunity-based transmissionRisk of infectionCohort studyLTBI prevalencePreventive therapyPulmonary tuberculosisTuberculosis patientsTuberculosis casesHousehold transmissionExcess riskBacillus Calmette-Guérin and Isoniazid Preventive Therapy Protect Contacts of Patients with Tuberculosis
Zelner JL, Murray MB, Becerra MC, Galea J, Lecca L, Calderon R, Yataco R, Contreras C, Zhang Z, Grenfell BT, Cohen T. Bacillus Calmette-Guérin and Isoniazid Preventive Therapy Protect Contacts of Patients with Tuberculosis. American Journal Of Respiratory And Critical Care Medicine 2014, 189: 853-859. PMID: 24592878, PMCID: PMC4225829, DOI: 10.1164/rccm.201310-1896oc.Peer-Reviewed Original ResearchMeSH KeywordsAdolescentAdultAge FactorsAgedAged, 80 and overAntitubercular AgentsBCG VaccineChildChild, PreschoolContact TracingFemaleFollow-Up StudiesHumansInfantIsoniazidMaleMiddle AgedModels, StatisticalModels, TheoreticalMultivariate AnalysisOdds RatioPeruProspective StudiesTreatment OutcomeTuberculosis, PulmonaryYoung AdultConceptsIsoniazid preventive therapyAge-specific efficacyLatent TB infectionIncident tuberculosisHousehold contactsTB diseaseTB infectionPulmonary tuberculosisRisk ratioUse of IPTObservational prospective cohort studyBacillus Calmette-Guérin (BCG) vaccinationHigh TB burden settingsAdditional TB casesHIV-positive contactsIncident pulmonary tuberculosisHIV-negative childrenProspective cohort studyPublic Health CenterBacillus Calmette-GuérinYear-long followWorld Health OrganizationCohort studyPreventive therapyTB casesIncidence of multidrug-resistant tuberculosis disease in children: systematic review and global estimates
Jenkins HE, Tolman AW, Yuen CM, Parr JB, Keshavjee S, Pérez-Vélez CM, Pagano M, Becerra MC, Cohen T. Incidence of multidrug-resistant tuberculosis disease in children: systematic review and global estimates. The Lancet 2014, 383: 1572-1579. PMID: 24671080, PMCID: PMC4094366, DOI: 10.1016/s0140-6736(14)60195-1.Peer-Reviewed Original ResearchConceptsMultidrug-resistant tuberculosisMultidrug-resistant tuberculosis diseaseTreatment-naive adultsMultidrug-resistant diseaseTuberculosis diseaseTuberculosis incidenceGlobal incidenceSystematic reviewCases of tuberculosisHarvard Medical SchoolGlobal tuberculosis incidenceGlobal annual incidenceTuberculosis riskAnnual incidencePatient groupUS National InstitutesWomen's HospitalInclusion criteriaInternal medicineNew diagnostic instrumentDisease riskTuberculosisIncidenceDiseaseHealth equityGeographical heterogeneity of multidrug-resistant tuberculosis in Georgia, January 2009 to June 2011.
Jenkins HE, Gegia M, Furin J, Kalandadze I, Nanava U, Chakhaia T, Cohen T. Geographical heterogeneity of multidrug-resistant tuberculosis in Georgia, January 2009 to June 2011. Eurosurveillance 2014, 19 PMID: 24679722, PMCID: PMC4090679, DOI: 10.2807/1560-7917.es2014.19.11.20743.Peer-Reviewed Original ResearchConceptsMultidrug-resistant TBMDR-TB risk factorsTB casesRisk factorsMDR-TB incidenceMDR-TB riskMDR-TB transmissionMDR-TB casesMultidrug-resistant tuberculosisTreatment-naïve individualsMDR-TB burdenTuberculosis casesHigh riskTargeted interventionsSurveillance dataGeographical heterogeneityRegression modellingInterventionRiskRural areasCasesTuberculosisIncidencePercentage