2024
Test and treat approach for tuberculosis infection amongst household contacts of drug-susceptible pulmonary tuberculosis, Mumbai, India
Shah D, Bhide S, Deshmukh R, Smith J, Kaiplyawar S, Puri V, Yeldandi V, Date A, Nyendak M, Ho C, Moonan P. Test and treat approach for tuberculosis infection amongst household contacts of drug-susceptible pulmonary tuberculosis, Mumbai, India. Frontiers In Tuberculosis 2024, 2: 1454277. PMID: 39421397, PMCID: PMC11485165, DOI: 10.3389/ftubr.2024.1454277.Peer-Reviewed Original ResearchInterferon-gamma release assayTB preventive treatmentTB infectionHousehold contactsDrug-susceptible pulmonary tuberculosisTB diseaseTreat approachProgression to active TB diseaseDrug-susceptible pulmonary TBRate of TB infectionPrevalence of TB infectionActive TB diseaseAge 5 yearsSecondary TB casesCross-sectional studyAntituberculosis treatmentIGRA testPulmonary TBPulmonary tuberculosisTuberculosis infectionInterferon-gammaRelease assayClinical evaluationEarly diagnosisTreat strategyTuberculosis Preventive Treatment Update — U.S. President’s Emergency Plan for AIDS Relief, 36 Countries, 2016–2023
Ajiboye A, O’Connor S, Smith J, Ahmedov S, Coggin W, Charles M, Ghosh S, Pierre P, Shah N, Teran R, Moonan P, Date A. Tuberculosis Preventive Treatment Update — U.S. President’s Emergency Plan for AIDS Relief, 36 Countries, 2016–2023. MMWR Morbidity And Mortality Weekly Report 2024, 73: 233-238. PMID: 38512767, PMCID: PMC10967683, DOI: 10.15585/mmwr.mm7311a1.Peer-Reviewed Original ResearchConceptsU.S. President's Emergency PlanPresident's Emergency Plan for AIDS ReliefTB preventive treatmentAIDS ReliefAntiretroviral treatmentU.S. President's Emergency Plan for AIDS ReliefElectronic medical record systemPresident's Emergency PlanPatient-centered approachFiscal yearNational HIV programTB-attributed deathsMedical record systemTB-related deathsOverall completion rateHIV programsCompletion ratesRecording systemTB diseaseStandard of careHIVHigh riskPersonsEmergency planningShorter regimens
2023
Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children
Smith J, Milligan K, McCarthy K, Mchembere W, Okeyo E, Musau S, Okumu A, Song R, Click E, Cain K. Machine learning to predict bacteriologic confirmation of Mycobacterium tuberculosis in infants and very young children. PLOS Digital Health 2023, 2: e0000249. PMID: 37195976, PMCID: PMC10191346, DOI: 10.1371/journal.pdig.0000249.Peer-Reviewed Original ResearchMicrobial confirmationTB diseaseYoung childrenNoninvasive procedureLarge prospective cohortCases of tuberculosisChest X-rayDiagnosis of tuberculosisClinical decision makingBacteriologic confirmationHousehold contactsTB infectionProspective cohortRadiologic factorsPaucibacillary natureClinical similaritiesDiagnostic cohortClinical diseaseChildhood diseasesInvasive proceduresNovel biomarkersTuberculosisClinical researchM. tuberculosisDisease
2022
Performance of Xpert MTB/RIF and Mycobacterial Culture on Multiple Specimen Types for Diagnosis of Tuberculosis Disease in Young Children and Clinical Characterization According to Standardized Research Case Definitions
Click ES, Song R, Smith JP, Mchembere W, Fajans M, Hariri P, Okeyo E, McCarthy KD, Gethi D, Odeny L, Musau S, Okumu A, Orwa J, Perez-Velez CM, Wright CA, Andres M, Marais BJ, Schaaf HS, Graham SM, Cruz AT, Cain KP. Performance of Xpert MTB/RIF and Mycobacterial Culture on Multiple Specimen Types for Diagnosis of Tuberculosis Disease in Young Children and Clinical Characterization According to Standardized Research Case Definitions. The Pediatric Infectious Disease Journal 2022, 41: 671-677. PMID: 35703284, PMCID: PMC9288526, DOI: 10.1097/inf.0000000000003582.Peer-Reviewed Original ResearchConceptsXpert MTB/RIFResearch case definitionClinical case definitionMTB/RIFCase definitionIntrathoracic tuberculosisClinical characterizationMycobacterial cultureYoung childrenProspective cohort studyDifferent specimen typesDetailed clinical characterizationMultiple specimen typesSpecimen typesClinical diagnostic approachTB diseaseCohort studyMycobacterium tuberculosis complexParenchymal abnormalitiesConsecutive seriesOutpatient settingTuberculosis diseaseLeading causeXpert testChest radiographsZambia Assessment of Tuberculosis (TB) and HIV in the Mines (ZATHIM): implications for programs and policies
Podewils LJ, Long EF, Fuller TJ, Mwakazanga D, Kapungu K, Tembo M, Mwanza S, Curran KG, Smith JP, Tobias JL, Kasongo W. Zambia Assessment of Tuberculosis (TB) and HIV in the Mines (ZATHIM): implications for programs and policies. BMC Public Health 2022, 22: 791. PMID: 35439984, PMCID: PMC9018205, DOI: 10.1186/s12889-022-13053-8.Peer-Reviewed Original ResearchConceptsHealthcare workersTB symptomsMore TB symptomsFocus group discussionsDiagnosis of tuberculosisTB diseaseTB careTB statusMixed-method evaluationAppropriate careKey populationsReporting 2TuberculosisKAP surveyAssess knowledgeHigh-quality healthcare servicesHealthcare servicesCareHealthy livingHIVHigh rateSymptomsDiagnosisMajor barrierCurrent evaluation
2015
Why healthcare workers are sick of TB
von Delft A, Dramowski A, Khosa C, Kotze K, Lederer P, Mosidi T, Peters JA, Smith J, van der Westhuizen HM, von Delft D, Willems B, Bates M, Craig G, Maeurer M, Marais BJ, Mwaba P, Nunes EA, Nyirenda T, Oliver M, Zumla A. Why healthcare workers are sick of TB. International Journal Of Infectious Diseases 2015, 32: 147-151. PMID: 25809771, DOI: 10.1016/j.ijid.2014.12.003.Peer-Reviewed Original ResearchConceptsDrug-resistant tuberculosisInfection control measuresHealthcare workersLife-threatening diagnosisRisk of tuberculosisOccupational tuberculosisTB diseaseTreatment optionsTB epidemicPrevalent exposureHealthcare colleaguesHealthcare resourcesUrgent interventionTuberculosisControl measuresInterventionPervasive stigmatizationFront-line workersDiseaseDiagnosisWorkers