2024
Estimated Health and Economic Outcomes of Racial and Ethnic Tuberculosis Disparities in US-Born Persons
Swartwood N, Li Y, Regan M, Marks S, Barham T, Asay G, Cohen T, Hill A, Horsburgh C, Khan A, McCree D, Myles R, Salomon J, Self J, Menzies N. Estimated Health and Economic Outcomes of Racial and Ethnic Tuberculosis Disparities in US-Born Persons. JAMA Network Open 2024, 7: e2431988. PMID: 39254977, PMCID: PMC11388029, DOI: 10.1001/jamanetworkopen.2024.31988.Peer-Reviewed Original ResearchConceptsUS-born personsEthnic disparitiesCase-fatality rateTB deathsTB casesTB incidenceSex-adjusted incidenceNational TB surveillance dataTB surveillance dataQuality-adjusted life yearsDistrict of ColumbiaTB disparitiesHealth outcomesEconomic outcomesFuture healthOutcome of TBUS-bornTB outcomesEstimate healthLife yearsSocietal costsTB burdenSocietal perspectiveGeneralized additive regression modelsGoal attainmentCost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study
van Lieshout Titan A, Klaassen F, Pelissari D, de Barros Silva J, Alves K, Alves L, Sanchez M, Bartholomay P, Johansen F, Croda J, Andrews J, Castro M, Cohen T, Vuik C, Menzies N. Cost-effectiveness and health impact of screening and treatment of Mycobacterium tuberculosis infection among formerly incarcerated individuals in Brazil: a Markov modelling study. The Lancet Global Health 2024, 12: e1446-e1455. PMID: 39151980, PMCID: PMC11339731, DOI: 10.1016/s2214-109x(24)00221-3.Peer-Reviewed Original ResearchConceptsDisability-adjusted life yearsTuberculosis preventive treatmentTuberculosis deathsHealth impactsImpact of screeningIntervention cost-effectivenessInfection screeningCost-effectiveNational Institutes of HealthHealth outcomesHealth gainsInstitutes of HealthQuantify health effectsTuberculosis casesCost-effectiveness ratioTreatment of Mycobacterium tuberculosis infectionPotential health impactsLife yearsGreater health benefitsTuberculosis preventionTarget populationMonths of isoniazidMarkov modelling studiesHealth statesHealthPotential of Pan-Tuberculosis Treatment to Drive Emergence of Novel Resistance - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC
McQuaid C, Ryckman T, Menzies N, White R, Cohen T, Kendall E. Potential of Pan-Tuberculosis Treatment to Drive Emergence of Novel Resistance - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2024, 30: 1571-1579. PMID: 39043388, PMCID: PMC11286077, DOI: 10.3201/eid3008.240541.Peer-Reviewed Original ResearchConceptsResistance to novel drugsStandard of careAntimicrobial resistanceIncreasing prevalence of antimicrobial resistancePrevalence of antimicrobial resistanceIncreased prevalenceDrug susceptibility testingCompare treatment outcomesFirst-line drugsNovel drugsTB patient cohortTreatment regimensPatient cohortNew tuberculosisRegimensTreatment outcomesComponent drugsDrugCohortTuberculosisCDCUniversal useClinicCarePrevalencePhylogeographic Analysis of Mycobacterium kansasii Isolates from Patients with M. kansasii Lung Disease in Industrialized City, Taiwan - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC
Cudahy P, Liu P, Warren J, Sobkowiak B, Yang C, Ioerger T, Wu C, Lu P, Wang J, Chang H, Huang H, Cohen T, Lin H. Phylogeographic Analysis of Mycobacterium kansasii Isolates from Patients with M. kansasii Lung Disease in Industrialized City, Taiwan - Volume 30, Number 8—August 2024 - Emerging Infectious Diseases journal - CDC. Emerging Infectious Diseases 2024, 30: 1562-1570. PMID: 39043390, PMCID: PMC11286038, DOI: 10.3201/eid3008.240021.Peer-Reviewed Original ResearchConceptsM. kansasii lung diseaseM. kansasii pulmonary diseasePulmonary diseaseM. kansasii isolatesSputum mycobacterial cultureWhole-genome sequencingEvaluate risk factorsPhylogeographic analysisAge of participantsGenetic relatednessEnvironmental acquisitionLung diseaseMycobacterial cultureOdds ratioRisk factorsM. kansasiiPatientsDiseasePlantsEnvironmental transmissionIsolatesPark plantingsCDCRiskRisk factors underlying racial and ethnic disparities in tuberculosis diagnosis and treatment outcomes, 2011–19: a multiple mediation analysis of national surveillance data
Regan M, Barham T, Li Y, Swartwood N, Beeler Asay G, Cohen T, Horsburgh C, Khan A, Marks S, Myles R, Salomon J, Self J, Winston C, Menzies N. Risk factors underlying racial and ethnic disparities in tuberculosis diagnosis and treatment outcomes, 2011–19: a multiple mediation analysis of national surveillance data. The Lancet Public Health 2024, 9: e564-e572. PMID: 39095133, DOI: 10.1016/s2468-2667(24)00151-8.Peer-Reviewed Original ResearchConceptsUS-born individualsNon-US-born individualsHispanic individualsTract-level povertyTract-level measuresEthnic disparitiesCensus tract levelCensus tract-level povertyEconomic segregationEvidence of disparitiesAnalysis of national surveillance dataBlack individualsTuberculosis outcomesNeighborhood-level social vulnerabilityTract levelUS-bornSocial vulnerabilityUS National Tuberculosis Surveillance SystemNational Tuberculosis Surveillance SystemHigh riskCensusNational surveillance dataTuberculosis Surveillance SystemCase managementReduce disparitiesThe long-term effects of domestic and international tuberculosis service improvements on tuberculosis trends within the USA: a mathematical modelling study
Menzies N, Swartwood N, Cohen T, Marks S, Maloney S, Chappelle C, Miller J, Asay G, Date A, Horsburgh C, Salomon J. The long-term effects of domestic and international tuberculosis service improvements on tuberculosis trends within the USA: a mathematical modelling study. The Lancet Public Health 2024, 9: e573-e582. PMID: 39095134, PMCID: PMC11344642, DOI: 10.1016/s2468-2667(24)00150-6.Peer-Reviewed Original ResearchConceptsTuberculosis servicesTuberculosis incidenceCenters for Disease Control and PreventionUS Centers for Disease Control and PreventionDisease Control and PreventionControl and PreventionCombination of interventionsTuberculosis eliminationCountry of originIntervention scenariosInternational interventionLow tuberculosis incidenceService improvementCurrent serviceTuberculosis ProgrammeTuberculosis deathsEconomic outcomesInterventionEpidemiological dataTuberculosis burdenLong-term effectsTotal populationSimulate healthTuberculosis trendsServicesPredictors 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 modelsThe recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova
Chitwood M, Colijn C, Yang C, Crudu V, Ciobanu N, Codreanu A, Kim J, Rancu I, Rhee K, Cohen T, Sobkowiak B. The recent rapid expansion of multidrug resistant Ural lineage Mycobacterium tuberculosis in Moldova. Nature Communications 2024, 15: 2962. PMID: 38580642, PMCID: PMC10997638, DOI: 10.1038/s41467-024-47282-9.Peer-Reviewed Original ResearchConceptsMDR M. tuberculosisGenome sequenceResistance-conferring mutationsBeijing sublineageMDR strainsReproductive fitnessBeijing strainsCulture-positive casesLineagesMtb strainsMultidrug-resistant tuberculosisMDRMtbStrainMDR-TBMutationsResistant tuberculosisMDR-MTBSubstantial riskSublineagesTuberculosisSequenceDisparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data.
Li Y, Regan M, Swartwood N, Barham T, Beeler Asay G, Cohen T, Hill A, Horsburgh C, Khan A, Marks S, Myles R, Salomon J, Self J, Menzies N. Disparities in Tuberculosis Incidence by Race and Ethnicity Among the U.S.-Born Population in the United States, 2011 to 2021 : An Analysis of National Disease Registry Data. Annals Of Internal Medicine 2024, 177: 418-427. PMID: 38560914, DOI: 10.7326/m23-2975.Peer-Reviewed Original ResearchConceptsIncidence rate ratiosNon-Hispanic white personsTB incidence rateRate ratiosIncidence rateTB incidenceSocial determinants of healthRelated disparitiesWhite personsHealth equity goalsU.S.-born populationAbsolute disparityDeterminants of healthTB registry dataRacial/ethnic minority populationsCenters for Disease Control and PreventionDisease Control and PreventionIncidence rate differenceTB casesYoung personControl and PreventionState of residenceAI/AN personsSocial determinantsRacial/ethnic disparitiesIdentifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model
Lan Y, Crudu V, Ciobanu N, Codreanu A, Chitwood M, Sobkowiak B, Warren J, Cohen T. Identifying local foci of tuberculosis transmission in Moldova using a spatial multinomial logistic regression model. EBioMedicine 2024, 102: 105085. PMID: 38531172, PMCID: PMC10987885, DOI: 10.1016/j.ebiom.2024.105085.Peer-Reviewed Original ResearchConceptsPatterns of spatial aggregationMtb strainsMDR-TBLogistic regression modelsGenome Epidemiology StudySpecific strainsMultidrug-resistant tuberculosisTreated TB casesNational Institute of AllergyMDR phenotypeRegression modelsM. tuberculosisInstitute of AllergyMultinomial logistic regression modelUS National Institutes of HealthNational Institutes of HealthMDR diseasePublic health concernAssociated with local transmissionIncident TBInstitutes of HealthMtbResistant tuberculosisStrainDiagnosing TBRacial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003–19: an analysis of national surveillance data
Regan M, Li Y, Swartwood N, Barham T, Asay G, Cohen T, Hill A, Horsburgh C, Khan A, Marks S, Myles R, Salomon J, Self J, Menzies N. Racial and ethnic disparities in diagnosis and treatment outcomes among US-born people diagnosed with tuberculosis, 2003–19: an analysis of national surveillance data. The Lancet Public Health 2024, 9: e47-e56. PMID: 38176842, DOI: 10.1016/s2468-2667(23)00276-1.Peer-Reviewed Original ResearchConceptsNational surveillance dataNon-Hispanic White peopleTreatment outcomesEthnic disparitiesSurveillance dataTuberculosis diagnosisUS National Tuberculosis Surveillance SystemIndex of disparityLog-binomial regression modelsNational Tuberculosis Surveillance SystemNon-Hispanic black peopleOverall high riskTuberculosis Surveillance SystemAlaska Native peopleTuberculosis patientsDiagnostic delayAdverse outcomesTuberculosis diseaseTuberculosis incidence
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 ResearchPredictive power of wastewater for nowcasting infectious disease transmission: A retrospective case study of five sewershed areas in Louisville, Kentucky
Klaassen F, Holm R, Smith T, Cohen T, Bhatnagar A, Menzies N. Predictive power of wastewater for nowcasting infectious disease transmission: A retrospective case study of five sewershed areas in Louisville, Kentucky. Environmental Research 2023, 240: 117395. PMID: 37838198, PMCID: PMC10863376, DOI: 10.1016/j.envres.2023.117395.Peer-Reviewed Original ResearchConceptsDeath dataSurveillance dataSARS-CoV-2 casesClinical surveillance dataLow-resource settingsRetrospective case studyInfectious disease transmissionTrue infectionEpidemiologic dataSerosurvey dataDeath reportsTraditional surveillance dataDisease trendsInfectious diseasesWastewater dataDisease transmissionPredictive performanceGlobal burden of disease due to rifampicin-resistant tuberculosis: a mathematical modeling analysis
Menzies N, Allwood B, Dean A, Dodd P, Houben R, James L, Knight G, Meghji J, Nguyen L, Rachow A, Schumacher S, Mirzayev F, Cohen T. Global burden of disease due to rifampicin-resistant tuberculosis: a mathematical modeling analysis. Nature Communications 2023, 14: 6182. PMID: 37794037, PMCID: PMC10550952, DOI: 10.1038/s41467-023-41937-9.Peer-Reviewed Original ResearchConceptsDisability-adjusted life yearsRifampicin-resistant tuberculosisRR-TBGlobal burdenSubstantial short-term morbidityRifampicin-susceptible tuberculosisShort-term morbidityOverall disease burdenLong-term health impactsPost-treatment careTB survivorsDisease burdenTreatment outcomesTuberculosis survivorsCase detectionLife yearsRifampicin resistanceTuberculosisHealth impactsBurdenHealth expenditureDiseaseSurvivorsMathematical modeling analysisFormer Soviet Union countriesTabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States
Swartwood N, Testa C, Cohen T, Marks S, Hill A, Beeler Asay G, Cochran J, Cranston K, Randall L, Tibbs A, Horsburgh C, Salomon J, Menzies N. Tabby2: a user-friendly web tool for forecasting state-level TB outcomes in the United States. BMC Medicine 2023, 21: 331. PMID: 37649031, PMCID: PMC10469407, DOI: 10.1186/s12916-023-02785-y.Peer-Reviewed Original ResearchConceptsLatent tuberculosis infectionTB outcomesDistrict of ColumbiaTreatment of LTBIIncremental cost-effectiveness ratioTB incidence rateTuberculosis disease burdenQuality-adjusted life yearsCost-effectiveness ratioPublic health agenciesTB casesTB preventionTB incidenceTuberculosis infectionTB epidemiologyDisease burdenIncidence rateService utilizationAdditional interventionsIncidence projectionsLife yearsDemographic dataSocietal perspectiveHealth agenciesPrevention approachesGlobal, regional, and national estimates of tuberculosis incidence and case detection among incarcerated individuals from 2000 to 2019: a systematic analysis
Martinez L, Warren J, Harries A, Croda J, Espinal M, Olarte R, Avedillo P, Lienhardt C, Bhatia V, Liu Q, Chakaya J, Denholm J, Lin Y, Kawatsu L, Zhu L, Horsburgh C, Cohen T, Andrews J. Global, regional, and national estimates of tuberculosis incidence and case detection among incarcerated individuals from 2000 to 2019: a systematic analysis. The Lancet Public Health 2023, 8: e511-e519. PMID: 37393090, PMCID: PMC10323309, DOI: 10.1016/s2468-2667(23)00097-x.Peer-Reviewed Original ResearchConceptsTuberculosis incidenceCase detection ratioIncidence rateCase detectionHigh tuberculosis incidence ratesGlobal tuberculosis control effortsIncident tuberculosis casesTuberculosis incidence rateIncarcerated individualsTuberculosis control effortsTuberculosis case detectionTuberculosis casesNotification ratesNational incidenceTuberculosis notificationsGlobal incidenceHigh riskPrevalence estimatesNational estimatesWHO regionsIncidenceStudy periodMeta-regression frameworkTuberculosisNational InstituteChanges in Population Immunity Against Infection and Severe Disease From Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variants in the United States Between December 2021 and November 2022
Klaassen F, Chitwood M, Cohen T, Pitzer V, Russi M, Swartwood N, Salomon J, Menzies N. Changes in Population Immunity Against Infection and Severe Disease From Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variants in the United States Between December 2021 and November 2022. Clinical Infectious Diseases 2023, 77: 355-361. PMID: 37074868, PMCID: PMC10425195, DOI: 10.1093/cid/ciad210.Peer-Reviewed Original ResearchConceptsSevere diseasePopulation immunityOmicron infectionOmicron variantUS populationSevere acute respiratory syndrome coronavirus 2Acute respiratory syndrome coronavirus 2SARS-CoV-2 infectionRespiratory syndrome coronavirus 2SARS-CoV-2 Omicron variantRestoration of immunitySyndrome coronavirus 2Bayesian evidence synthesis modelInfection-acquired immunityEvidence synthesis modelSARS-CoV-2Prior immunological exposureCoronavirus 2Additional infectionsImmunological exposureInfectionDiseaseImmunityVaccinationUnited StatesTransmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics
Dodd P, Shaweno D, Ku C, Glaziou P, Pretorius C, Hayes R, MacPherson P, Cohen T, Ayles H. Transmission modeling to infer tuberculosis incidence prevalence and mortality in settings with generalized HIV epidemics. Nature Communications 2023, 14: 1639. PMID: 36964130, PMCID: PMC10037365, DOI: 10.1038/s41467-023-37314-1.Peer-Reviewed Original ResearchConceptsHigh HIV prevalence settingsEstimation of burdenHIV prevalence settingsGeneralized HIV epidemicsTB transmission modelAntiretroviral therapyTB infectionTB incidenceHIV prevalenceTB prevalencePrevalence settingsTB epidemicHIV epidemicHigh burdenBurden estimatesNotification dataAnnual riskSingle pathogenIntervention impactTherapy effectsTuberculosisPrevalenceEpidemicBurdenAfrican countriesDevelopment 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 expertsSpatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data
Warren J, Chitwood M, Sobkowiak B, Colijn C, Cohen T. Spatial Modeling of Mycobacterium Tuberculosis Transmission with Dyadic Genetic Relatedness Data. Biometrics 2023, 79: 3650-3663. PMID: 36745619, PMCID: PMC10404301, DOI: 10.1111/biom.13836.Peer-Reviewed Original Research