2023
Spatially-targeted tuberculosis screening has limited impact beyond household contact tracing in Lima, Peru: A model-based analysis
Havumaki J, Warren J, Zelner J, Menzies N, Calderon R, Contreras C, Lecca L, Becerra M, Murray M, Cohen T. Spatially-targeted tuberculosis screening has limited impact beyond household contact tracing in Lima, Peru: A model-based analysis. PLOS ONE 2023, 18: e0293519. PMID: 37903091, PMCID: PMC10615320, DOI: 10.1371/journal.pone.0293519.Peer-Reviewed Original ResearchDevelopment 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 ResearchMeSH KeywordsAdolescentAlgorithmsChildHumansRetrospective StudiesTriageTuberculosisTuberculosis, PulmonaryUnited StatesConceptsTreatment 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
Development 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 diagnosisContinuity of TB services during the COVID-19 pandemic in China
Shen X, Sha W, Yang C, Pan Q, Cohen T, Cheng S, Cai Q, Kan X, Zong P, Zeng Z, Tan S, Liang R, Bai L, Xia J, Wu S, Sun P, Wu G, Cai C, Wang X, Ai K, Liu J, Yuan Z. Continuity of TB services during the COVID-19 pandemic in China. The International Journal Of Tuberculosis And Lung Disease 2021, 25: 81-83. PMID: 33384053, DOI: 10.5588/ijtld.20.0632.Peer-Reviewed Original Research
2020
Evaluation of 6-Month Versus Continuous Isoniazid Preventive Therapy for Mycobacterium tuberculosis in Adults Living With HIV/AIDS in Malawi.
Hsieh YL, Jahn A, Menzies NA, Yaesoubi R, Salomon JA, Girma B, Gunde L, Eaton JW, Auld A, Odo M, Kiyiika CN, Kalua T, Chiwandira B, Mpunga JU, Mbendra K, Corbett L, Hosseinipour MC, Cohen T, Kunkel A. Evaluation of 6-Month Versus Continuous Isoniazid Preventive Therapy for Mycobacterium tuberculosis in Adults Living With HIV/AIDS in Malawi. JAIDS Journal Of Acquired Immune Deficiency Syndromes 2020, 85: 643-650. PMID: 33177475, PMCID: PMC8564780, DOI: 10.1097/qai.0000000000002497.Peer-Reviewed Original ResearchMeSH KeywordsAdultAntitubercular AgentsDrug Administration ScheduleHIV InfectionsHumansIncidenceIsoniazidMalawiTuberculosis, PulmonaryConceptsIsoniazid preventive therapyIPT programIPT strategyPreventive therapyContinuous isoniazid preventive therapyMore TB casesHIV-positive adultsCases of tuberculosisAnticipated health effectsComparable health benefitsHIV/AIDSCause deathAntiretroviral therapyTB casesTB controlTB incidenceDrug costsMalawi MinistryMean reductionTuberculosisMycobacterium tuberculosisTherapyAnticipated health impactsHealth effectsHealth benefitsRisk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study
Cudahy PGT, Wilson D, Cohen T. Risk factors for recurrent tuberculosis after successful treatment in a high burden setting: a cohort study. BMC Infectious Diseases 2020, 20: 789. PMID: 33097000, PMCID: PMC7585300, DOI: 10.1186/s12879-020-05515-4.Peer-Reviewed Original ResearchConceptsM. tuberculosis infectionRecurrent tuberculosisSuccessful treatmentTuberculosis recurrenceHazard ratioSmear gradeTuberculosis infectionRisk factorsSmear-positive pulmonary tuberculosisCox proportional hazards modelSputum smear gradeRepetitive unit-variable number tandem repeat (MIRU-VNTR) typingHigh-burden settingsRisk of recurrenceProportional hazards modelSuccessful treatment completionRecurrent diseaseCohort studyPulmonary tuberculosisBurden settingsClinical presentationRecurrent episodesInitial episodeNumber tandem repeat typingTreatment completionThe 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 study
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 treatmentPatientsEvaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil
Mabud TS, de Lourdes Delgado Alves M, Ko AI, Basu S, Walter KS, Cohen T, Mathema B, Colijn C, Lemos E, Croda J, Andrews JR. Evaluating strategies for control of tuberculosis in prisons and prevention of spillover into communities: An observational and modeling study from Brazil. PLOS Medicine 2019, 16: e1002737. PMID: 30677013, PMCID: PMC6345418, DOI: 10.1371/journal.pmed.1002737.Peer-Reviewed Original ResearchConceptsIncidence of TBPrison-based interventionsTB incidenceGeneral populationTB casesCox proportional hazards modelNew TB casesControl of tuberculosisProportional hazards modelPaucity of dataTime of incarcerationTB burdenTB screeningTB riskTB transmissionTB ratesTB epidemicAdministrative databasesCommunity incidenceTuberculosis epidemicHazards modelTB databaseIncidenceEpidemiological contextIntervention
2018
The impact of digital health technologies on tuberculosis treatment: a systematic review
Ngwatu B, Nsengiyumva N, Oxlade O, Mappin-Kasirer B, Nguyen N, Jaramillo E, Falzon D, Schwartzman K, Abubakar I, Alipanah N, Bastos M, Boccia D, Chin D, Cohen T, Davis J, Denkinger C, Falzon D, Fielding K, Fox G, Free C, Garfein R, Hayward A, Jaramillo E, Lester R, Lewis J, Mappin-Kasirer B, Marx F, Menzies D, Migliori G, Nahid P, Ngwatu B, Nsengiyumva N, Nguyen N, Oxlade O, Schwartzman K, Siddiqi K, Story A, Thomas B, Trajman A, Yassin M. The impact of digital health technologies on tuberculosis treatment: a systematic review. European Respiratory Journal 2018, 51: 1701596. PMID: 29326332, PMCID: PMC5764088, DOI: 10.1183/13993003.01596-2017.Peer-Reviewed Original ResearchConceptsVideo-observed therapyMedication monitorsStandard careObservational studyTreatment completion ratesTB treatment adherenceProbability of cureTreatment of personsPerson DOTActive tuberculosisTB careClinical outcomesTreatment adherenceTuberculosis treatmentPatient outcomesTreatment completionControl groupTreatment dosesSystematic reviewDigital health technologiesShort message serviceEffect estimatesTuberculosisDigital interventionsCare
2017
Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC
Nathavitharana RR, Shi CX, Chindelevitch L, Calderon R, Zhang Z, Galea JT, Contreras C, Yataco R, Lecca L, Becerra MC, Murray MB, Cohen T. Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru - Volume 23, Number 11—November 2017 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2017, 23: 1887-1890. PMID: 29048297, PMCID: PMC5652442, DOI: 10.3201/eid2311.170077.Peer-Reviewed Original ResearchConceptsTreatment of tuberculosisHost Mycobacterium tuberculosis diversityMultidrug-resistant TBInfectious Diseases journal - CDCPulmonary TB patientsPulmonary tuberculosis infectionTB patientsTuberculosis infectionPolyclonal infectionsSimple infectionMultidrug resistanceInfectionPatientsTuberculosisPrevalenceDiagnosisProtective effects of household-based TB interventions are robust to neighbourhood-level variation in exposure risk in Lima, Peru: a model-based analysis
Zelner J, Murray M, Becerra M, Galea J, Lecca L, Calderon R, Yataco R, Zhang Z, Cohen T. Protective effects of household-based TB interventions are robust to neighbourhood-level variation in exposure risk in Lima, Peru: a model-based analysis. International Journal Of Epidemiology 2017, 47: 185-192. PMID: 29025111, DOI: 10.1093/ije/dyx171.Peer-Reviewed Original ResearchConceptsIsoniazid preventive therapyLatent TB infectionTB casesHousehold contactsHousehold exposureTB diseaseHealth centersPopulation-based prospective cohort studyHigh-risk household contactsMore casesBlanket screeningIncident pulmonary tuberculosisIncident TB diseasePositive household contactsProspective cohort studyTB screening programPublic Health CenterIncident tuberculosisTB infectionCohort studyPreventive therapyPulmonary tuberculosisTB incidenceSkin testTB riskA 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
2016
Genomic diversity in autopsy samples reveals within-host dissemination of HIV-associated Mycobacterium tuberculosis
Lieberman TD, Wilson D, Misra R, Xiong LL, Moodley P, Cohen T, Kishony R. Genomic diversity in autopsy samples reveals within-host dissemination of HIV-associated Mycobacterium tuberculosis. Nature Medicine 2016, 22: 1470-1474. PMID: 27798613, PMCID: PMC5508070, DOI: 10.1038/nm.4205.Peer-Reviewed Original ResearchMeSH KeywordsAdultAgedAutopsyBacteriological TechniquesCoinfectionDNA, BacterialFemaleGenetic VariationHIV InfectionsHumansLiverLungLymph NodesMaleMiddle AgedMycobacterium tuberculosisPhylogenyPolymorphism, Single NucleotideSouth AfricaSpleenTuberculosisTuberculosis, HepaticTuberculosis, Lymph NodeTuberculosis, PulmonaryTuberculosis, SplenicHigh burden of prevalent tuberculosis among previously treated people in Southern Africa suggests potential for targeted control interventions
Marx FM, Floyd S, Ayles H, Godfrey-Faussett P, Beyers N, Cohen T. High burden of prevalent tuberculosis among previously treated people in Southern Africa suggests potential for targeted control interventions. European Respiratory Journal 2016, 48: 1227-1230. PMID: 27390274, PMCID: PMC5512114, DOI: 10.1183/13993003.00716-2016.Peer-Reviewed Original ResearchMeSH KeywordsAdultAfrica, SouthernAntitubercular AgentsCoinfectionHIV InfectionsHumansPrevalenceRecurrenceSouth AfricaTuberculosisTuberculosis, PulmonaryZambiaConceptsHigh-burden settingsHigh TB prevalenceRecurrent tuberculosisExogenous reinfectionPrevalent tuberculosisTB prevalenceSuccessful treatmentHigh burdenImportant underlying mechanismHigh riskHigh incidenceControl interventionsTargeted interventionsTuberculosisUnderlying mechanismOne-thirdInterventionBurdenCape TownIndividualsReinfectionPrevalenceIncidenceDiseaseSettingSmear 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 ResearchMeSH KeywordsAdolescentAdultAge FactorsChildChild, PreschoolHumansInfantInfant, NewbornMicroscopyMycobacterium tuberculosisSensitivity and SpecificitySputumTuberculosis, PulmonaryConceptsPercentage 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 reviewAdultsChildrenTuberculosisUse of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya
Jezmir J, Cohen T, Zignol M, Nyakan E, Hedt-Gauthier BL, Gardner A, Kamle L, Injera W, Carter EJ. Use of Lot Quality Assurance Sampling to Ascertain Levels of Drug Resistant Tuberculosis in Western Kenya. PLOS ONE 2016, 11: e0154142. PMID: 27167381, PMCID: PMC4864281, DOI: 10.1371/journal.pone.0154142.Peer-Reviewed Original ResearchConceptsMDR-TBDrug resistanceResistant tuberculosisLot Quality Assurance Sampling methodologyMulti-drug resistant tuberculosisPositive TB patientsDrug resistance surveillanceDrug-resistant tuberculosisTB drug resistanceRural settingsPoly-resistant strainsTB patientsWestern KenyaLot Quality AssuranceLow prevalencePatientsResistance surveillancePrevalenceTuberculosisLQASSettingLow levelsDifferent geographic settingsUrban settingsLevelsWithin-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study
Cohen T, Chindelevitch L, Misra R, Kempner ME, Galea J, Moodley P, Wilson D. Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study. The Journal Of Infectious Diseases 2016, 213: 1796-1799. PMID: 26768249, PMCID: PMC4857469, DOI: 10.1093/infdis/jiw014.Peer-Reviewed Original ResearchConceptsMonths of treatmentMycobacterium tuberculosis infectionTuberculosis infectionTreatment responsePoor early treatment responseProspective cohort studyInitiation of treatmentM. tuberculosis infectionRepetitive units-variable numberEarly treatment responsePersistent culture positivityCohort studyClinical managementCulture positivityHigher oddsInfectionTuberculosisPrevalenceTreatmentMonthsResponsePatientsKwaZulu-NatalHost heterogeneityPositivity
2015
The prospective evaluation of the TB strain typing service in England: a mixed methods study
Mears J, Vynnycky E, Lord J, Borgdorff MW, Cohen T, Crisp D, Innes JA, Lilley M, Maguire H, McHugh TD, Woltmann G, Abubakar I, Sonnenberg P. The prospective evaluation of the TB strain typing service in England: a mixed methods study. Thorax 2015, 71: thoraxjnl-2014-206480. PMID: 25882538, DOI: 10.1136/thoraxjnl-2014-206480.Peer-Reviewed Original ResearchConceptsDiagnostic delayTB incidenceTB notification ratesProportion of infectionsMycobacterium tuberculosis diagnosisFalse-positive diagnosesCost-effectiveness analysisMixed-methods evaluationStrain typingTB programsProspective evaluationNotification ratesInfection increasesTuberculosis diagnosisPositive diagnosisPublic health dataComplex interventionsIncidenceMixed-methods studyRoutine laboratoryDiagnosisHealth dataCluster investigationsTypingMethods study
2014
Modeling of Novel Diagnostic Strategies for Active Tuberculosis – A Systematic Review: Current Practices and Recommendations
Zwerling A, White RG, Vassall A, Cohen T, Dowdy DW, Houben RM. Modeling of Novel Diagnostic Strategies for Active Tuberculosis – A Systematic Review: Current Practices and Recommendations. PLOS ONE 2014, 9: e110558. PMID: 25340701, PMCID: PMC4207742, DOI: 10.1371/journal.pone.0110558.Peer-Reviewed Original ResearchConceptsNucleic acid amplification testsIncremental cost-effectiveness ratioActive tuberculosisHealth system modelDiagnostic strategiesNovel diagnostic strategiesAlternative nucleic acid amplification testsXpert MTB/RIFMTB/RIFCost-effectiveness ratioMulti-way sensitivity analysesFalse-negative diagnosesPre-diagnostic periodCost-effectiveness modelCost-effectiveness estimatesDiagnostic delayDiagnostic pathwayAdditional epidemiological dataTB diagnosticsEpidemiological dataReference listsAmplification testsEpidemiological impactEligible papersEpidemiological settings