Experts devise strategy to fight new TB strain.
Ontology highlight
ABSTRACT:
SUBMITTER: Moszynski P
PROVIDER: S-EPMC1569963 | biostudies-literature | 2006 Sep
REPOSITORIES: biostudies-literature
Publications
Experts devise strategy to fight new TB strain.
BMJ (Clinical research ed.) 20060901 7568
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Project description:Around 1.6 million people lost their life to Tuberculosis in 2021 according to WHO estimates. Although an intensive treatment plan exists against the causal agent, Mycobacterium Tuberculosis, evolution of multi-drug resistant strains of the pathogen puts a large number of global populations at risk. Vaccine which can induce long-term protection is still in the making with many candidates currently in different phases of clinical trials. The COVID-19 pandemic has further aggravated the adversities by affecting early TB diagnosis and treatment. Yet, WHO remains adamant on its "End TB" strategy and aims to substantially reduce TB incidence and deaths by the year 2035. Such an ambitious goal would require a multi-sectoral approach which would greatly benefit from the latest computational advancements. To highlight the progress of these tools against TB, through this review, we summarize recent studies which have used advanced computational tools and algorithms for-early TB diagnosis, anti-mycobacterium drug discovery and in the designing of the next-generation of TB vaccines. At the end, we give an insight on other computational tools and Machine Learning approaches which have successfully been applied in biomedical research and discuss their prospects and applications against TB.
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Project description:BackgroundTraditional lipoarabinomannan tests have limited sensitivity in HIV-negative individuals. Our aims were to compare chemiluminescence-based LAM (AIMLAM) and other diagnostic modalities in HIV-negative patients and to explore whether lymphocyte counts impact the sensitivity and costs of AIMLAM.MethodsThis is a prospective, cross-sectional, diagnostic accuracy study. Participants underwent testing with sputum acid-fast bacilli, sputum culture, GeneXpert, and AIMLAM. Their diagnostic efficiency and cost-effectiveness alone or under different lymphocyte count categories was evaluated.ResultsUsing MRS as a reference, the sensitivities of different diagnostic methods were as follows: sputum smear 27.43%, sputum culture 45.13%, GeneXpert 74.34%, and AIMLAM 71.68%. Patients with lymphocyte counts <0.8 × 109/L were significantly more likely to have a positive AIMLAM result (OR = 9.431, 95% CI: 2.659-33.447, P = 0.001). The sensitivity of AIMLAM in patients with lymphocyte counts <0.8 × 109/L reached 93.02%. The overall cost of AIMLAM to detect a positive TB case was $129.82, lower than sputum culture ($136.10) and GeneXpert ($180.27). For patients with lymphocyte counts <0.8 × 109/L, the cost of AIMLAM was further reduced to $67.84 (a 47.74% decrease), which was lower than GeneXpert ($111.65) and sputum culture ($94.28).ConclusionAIMLAM showed promising diagnostic performance in HIV-negative patients. Stratifying patients using lymphocyte cell counting lifted the sensitivity and lowered the cost of LAM, offering a novel diagnostic strategy for tuberculosis in resource-limited settings.
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