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Personalized medicine for patients with MDR-TB.

Authors: Ioana D, Olaru; Christoph, Lange; Jan, Heyckendorf;

Personalized medicine for patients with MDR-TB.

Abstract

The emergence of MDR-TB is a cause of great concern due to difficulties in patient management and poor treatment outcomes. Currently the duration of treatment and the choice of drugs for patients with MDR-TB are standardized in many countries. This might not be the best approach since the optimal therapy may depend on different pathogen- and host-related features. Combining the introduction of technological innovations such as whole bacillary genome sequencing for the identification of drug-resistance-associated mutations, therapeutic drug monitoring and host-directed therapies with an individualized approach to MDR-TB management will likely lead to more tolerable, shorter and more efficient treatment regimens and an increase in the quality of life of those affected by MDR-TB.

Keywords

Tuberculosis, Multidrug-Resistant, Antitubercular Agents, Humans, Mycobacterium tuberculosis, Drug Monitoring, Precision Medicine

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
31
Top 10%
Top 10%
Top 10%
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