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. Author manuscript; available in PMC: 2019 Jan 16.
Published in final edited form as: Int J Tuberc Lung Dis. 2018 Jun 1;22(6):706–707. doi: 10.5588/ijtld.18.0191

Xpert MTB/RIFW assay for the diagnosis of HIV related tuberculous meningitis in São Paulo, Brazil

RENATA GUISE AZEVEDO *, FERNANDA SUYAMA DINALLO *, LARYSSA SANCHES DE LAURENTIS *, DAVID R BOULWARE , JOSÉ ERNESTO VIDAL *,‡,§
PMCID: PMC6335103  NIHMSID: NIHMS1005225  PMID: 29862958

Human immunodeficiency virus (HIV) associated tuberculous meningitis (TBM) remains a public health problem in resource-limited settings. Our group recently found high sensitivity (100% for ‘definite TBM’) and high specificity (100%) of a nested real-time polymerase chain reaction (RT-PCR) assay among HIV-infected patients.1 Here we presente our experience after the first year of using the Xpert MTB/RIFw assay (Cepheid, Sunnyvale, CA, USA). The objectives of this study were 1) to identify the sensitivity and specificity of the Xpert assay on cerebrospinal fluid (CSF) for TBM diagnosis, and 2) to estimate the prevalence of positive Xpert results in routine practice.

This retrospective observational study was conducted at the Instituto de Infectologia Emílio Ribas, São Paulo, SP State, Brazil. The inclusion criteria were: 1) HIV-infected adults (aged 716 years) hospitalised with suspected meningitis, and 2) CSF samples with simultaneous analysis using acid-fast bacilli (AFB) smear, Mycobacterium tuberculosis culture and Xpert. The CSF volume typically used to perform the Xpert assay was 1–2 ml, and samples were not centrifuged.

Patients were categorised using a uniform TBM case definition, as follows: 1) ‘definite TBM’: the gold standard category, with positive AFB smear or CSF culture for M. tuberculosis; 2) ‘probable TBM’: those with a score of 7–12, indicating a higher risk of a TBM diagnosis; 3) ‘possible TBM’: those with a score of 6–11, indicating a lower risk of a TBM diagnosis; and 4) ‘not TBM’: those with a confirmed alternative diagnosis.2 Xpert results were not included in assigning case status. ‘Definite TBM’ and ‘not TBM’ cases were used to determine the sensitivity and specificity of Xpert, respectively.

The Research Ethics Committee of the Instituto de Infectologia Emílio Ribas approved the protocol.

We analyzed CSF specimens from 101 participants collected over a 12-month period. Six (5.9%) CSF samples were positive for tuberculosis on at least one test. Two participants had positive AFB smears, five participants had positive cultures and three participants were positive on Xpert. Three participants only had positive CSF cultures. No cases had only positive Xpert assay or AFB smear. Xpert sensitivity for ‘definite TBM’ (n = 6) was 50% (95% confidence interval [CI] 12–88), and for the ‘not TBM’ category (n = 86) the specificity was 100% (95%CI 96–100). Xpert was not positive for any ‘probable TBM’ (n = 7) or ‘possible TBM’ (n = 2) cases. Only 3% (3/101) of the Xpert assays were positive.

We identified a sensitivity for Xpert of 50%, similar to the values described in other studies (28–55%) when low CSF volume without centrifugation was used.35 When centrifugation was performed with3,4,6 or without7 higher CSF volumes, Xpert sensitivity was 72–82% and 55%, respectively. Specificity was usually ≥95%,35,7 with ‘false positives’ typically representing disease missed by the reference standard.

The low prevalence (3%) of positive Xpert results identified in this study is similar to that reported in a retrospective study in London (4.5% [33/740]).7 These findings revealed the low pretest probability of disease using Xpert in routine practice, and highlights the need to implement algorithms to optimise the test request. This is particularly importante in scenarios with limited resources where shortages are a constant concern. A better strategy would be to perform a second lumbar puncture where 6–10 ml CSF could be collected and centrifuged for Xpert testing.

In conclusion, we found that the Xpert assay had moderate sensitivity in the diagnosis of TBM diagnosis, but a very low prevalence of positive tests. The optimization of laboratory procedures and implementation of clinical algorithms are key in the diagnosis of TBM.

References

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