Stool-based Xpert testing for diagnosis of TB in children and critically ill adults

<sec><title>BACKGROUND</title>We describe our approach and experience with the routine implementation of stool-based Xpert MTB/RIF Ultra (Xpert) testing for the diagnosis of childhood TB in Zambia.</sec><sec><title>METHODS</title>We conducted a method validation and subsequently introduced stool as an alternative sample for routine Xpert testing for children and critically ill adults. We reviewed the impact of stool-based Xpert testing during the first 18 months of routine implementation.</sec><sec><title>RESULTS</title>The method validation showed 98.0% (95% CI 92.9-99.4) agreement between Xpert results on sputum/gastric aspirate (GA) and stool specimens. During 18 months of routine implementation, 16,210 stool samples were tested, yielding 157 TB cases in children, including five rifampicin (RIF) resistant cases, and 45 cases in critically ill adults. In children aged 0-4 years, 10,288 stool samples were tested compared to 2,459 GA samples in the same period. Childhood TB notifications and the bacteriological confirmation rate increased by 30% and 53%, respectively, in 2021 compared to 2020.</sec><sec><title>CONCLUSION</title>The routine implementation of stool testing provided access to Xpert testing for children who could not produce sputum or have GA collected, contributing to increased bacteriological confirmation of TB in children. For critically ill adults with difficulty expectorating sputum, it facilitated a rapid test result.</sec>.

Authors

Institutions

Publication Details

Journal
The International Journal of Tuberculosis and Lung Disease
Published
2025-02-01
DOI
https://doi.org/10.5588/ijtld.24.0349
Citations
3
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
4.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Stool-based Xpert testing for diagnosis of TB in children and critically ill adults

Kevin Zimba, Eveline Klinkenberg, Miguel Ángel, Chishala Chabala et al.
3 citations
The International Journal of Tuberculosis and Lung Disease
Tuberculosis Research and Epidemiology
4.19
article

Stool-based Xpert testing for diagnosis of TB in children and critically ill adults

Kevin Zimba, Eveline Klinkenberg, Miguel Ángel, Chishala Chabala, Petra de Haas, Patrick Lungu, Kennedy Lishimpi, Mushota Kabaso, Bushimbwa Tambatamba, Winnie Mwanza, M. Lutinala, K. Mundia
article en
3 citations

Abstract

<sec><title>BACKGROUND</title>We describe our approach and experience with the routine implementation of stool-based Xpert MTB/RIF Ultra (Xpert) testing for the diagnosis of childhood TB in Zambia.</sec><sec><title>METHODS</title>We conducted a method validation and subsequently introduced stool as an alternative sample for routine Xpert testing for children and critically ill adults. We reviewed the impact of stool-based Xpert testing during the first 18 months of routine implementation.</sec><sec><title>RESULTS</title>The method validation showed 98.0% (95% CI 92.9-99.4) agreement between Xpert results on sputum/gastric aspirate (GA) and stool specimens. During 18 months of routine implementation, 16,210 stool samples were tested, yielding 157 TB cases in children, including five rifampicin (RIF) resistant cases, and 45 cases in critically ill adults. In children aged 0-4 years, 10,288 stool samples were tested compared to 2,459 GA samples in the same period. Childhood TB notifications and the bacteriological confirmation rate increased by 30% and 53%, respectively, in 2021 compared to 2020.</sec><sec><title>CONCLUSION</title>The routine implementation of stool testing provided access to Xpert testing for children who could not produce sputum or have GA collected, contributing to increased bacteriological confirmation of TB in children. For critically ill adults with difficulty expectorating sputum, it facilitated a rapid test result.</sec>.

The International Journal of Tuberculosis and Lung DiseaseVol. 29(2)
Ministry of Health (ZM), TuBerculosis Vaccine Initiative (NL), University Teaching Hospital (ZM), Amsterdam University Medical Centers (NL)
Openalex Percentile: Top 8%
Tuberculosis Research and Epidemiology
4.19
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.