Literature DB >> 34140293

Performance of Xpert MTB/RIF Ultra for tuberculosis diagnosis in the context of passive and active case finding.

Belén Saavedra1,2, Edson Mambuque1, Dinis Nguenha1, Neide Gomes1, Shilzia Munguambe1, Juan Ignacio García3, Santiago Izco1,2, Sozinho Acacio1, Adrià Murias-Closas2, Marta Cossa1, Irene Losada2, Hadrián Pernas-Pardavila4, Laura Oliveras2,5,6, Grant Theron7, Alberto L García-Basteiro8,2.   

Abstract

AIMS: We present a field evaluation of the diagnostic accuracy of Xpert MTB/RIF ("Xpert") and Xpert MTB/RIF Ultra ("Ultra") using two cohorts in a high tuberculosis/HIV burden setting in Southern Mozambique.
METHODS: Single respiratory specimens from symptomatic adults accessing healthcare services (passive case finding (PCF) cohort) and from household and community close contacts (active case finding (ACF) cohort) were tested by smear microscopy, culture, Xpert and Ultra. Liquid and solid culture served as a composite reference standard. We explored the impact of trace results on specificity via their recategorisation to negative (in all and just among those previously treated individuals).
RESULTS: 1419 and 252 participants were enrolled in the PCF and ACF cohorts, respectively. For the PCF cohort, Ultra showed higher sensitivity than Xpert overall (0.95 (95% CI 0.90-0.98) versus 0.88 (96% CI 0.82-0.93); p<0.001) and among smear-negative patients (0.84 (96% CI 0.71-0.93) versus 0.63 (96% CI 0.48-0.76)). Ultra's specificity was lower than Xpert's (0.96 (96% CI 0.95-0.97) versus 0.98 (96% CI 0.97-0.99); p=0.008). For ACF, sensitivities were the same (0.67 (95% CI 0.22-0.96) for both tests), although Ultra detected a higher number of microbiologically confirmed samples than Xpert (4.7% (12 out of 252) versus 2.7% (seven out of 252)). Conditional recategorisation of trace results among previously treated participants maintained differences in specificity in the PCF cohort.
CONCLUSION: These results add evidence on the improved sensitivity of Ultra and support its use in different case finding scenarios.
Copyright ©The authors 2021. For reproduction rights and permissions contact permissions@ersnet.org.

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Year:  2021        PMID: 34140293     DOI: 10.1183/13993003.00257-2021

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  3 in total

Review 1.  Diagnosing Tuberculosis: What Do New Technologies Allow Us to (Not) Do?

Authors:  Shima M Abdulgader; Anna O Okunola; Gcobisa Ndlangalavu; Byron W P Reeve; Brian W Allwood; Coenraad F N Koegelenberg; Rob M Warren; Grant Theron
Journal:  Respiration       Date:  2022-06-27       Impact factor: 3.966

2.  Diagnostic performance of the Abbott RealTime MTB assay for tuberculosis diagnosis in people living with HIV.

Authors:  Belén Saavedra; Edson Mambuque; Neide Gomes; Dinis Nguenha; Rita Mabunda; Luis Faife; Ruben Langa; Shilzia Munguambe; Filomena Manjate; Anelsio Cossa; Lesley Scott; Alberto L García-Basteiro
Journal:  Sci Rep       Date:  2021-09-29       Impact factor: 4.379

Review 3.  Reimagining the status quo: How close are we to rapid sputum-free tuberculosis diagnostics for all?

Authors:  Ruvandhi R Nathavitharana; Alberto L Garcia-Basteiro; Morten Ruhwald; Frank Cobelens; Grant Theron
Journal:  EBioMedicine       Date:  2022-03-23       Impact factor: 11.205

  3 in total

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