Pathogens (Jan 2024)

Phenotypic and Genotypic Drug Resistance of <i>Mycobacterium tuberculosis</i> Strains Isolated from HIV-Infected Patients from a Third-Level Public Hospital in Mexico

  • Daniel Valencia-Trujillo,
  • Amanda Marineth Avila-Trejo,
  • Rocío Liliana García-Reyes,
  • Luis Narváez-Díaz,
  • Mario Alberto Mújica-Sánchez,
  • Addy Cecilia Helguera-Repetto,
  • Eduardo Becerril-Vargas,
  • Mónica Maribel Mata-Miranda,
  • Sandra Rivera-Gutiérrez,
  • Jorge Francisco Cerna-Cortés

DOI
https://doi.org/10.3390/pathogens13020098
Journal volume & issue
Vol. 13, no. 2
p. 98

Abstract

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Background: Drug-resistant tuberculosis (TB) is associated with higher mortality rates in patients with human immunodeficiency virus (HIV). In Mexico, the number of deaths due to TB among the HIV-positive population has tripled in recent years. Methods: Ninety-three Mycobacterium tuberculosis strains isolated from the same number of HIV-infected patients treated in a public hospital in Mexico City were studied to determine the drug resistance to first- and second-line anti-TB drugs and to identify the mutations associated with the resistance. Results: Of the 93 patients, 82.7% were new TB cases, 86% were male, and 73% had extrapulmonary TB. Most patients (94%) with a CD4 T-lymphocyte count 3 were associated with extrapulmonary TB (p 350 cells/mm3 were associated with pulmonary TB (p = 0.0011). Eighty-two strains were pan-susceptible, four mono-resistant, four poly-resistant, two multidrug-resistant, and one was extensively drug-resistant. In the rifampicin-resistant strains, rpoB S531L was the mutation most frequently identified, whereas the inhA C15T and katG S315T1 mutations were present in isoniazid-resistant strains. The extensively drug-resistant strain also contained the mutation gyrA D94A. Conclusions: These data highlight the need to promptly diagnose the drug resistance of M. tuberculosis among all HIV-infected patients by systematically offering access to first- and second-line drug susceptibility testing and to tailor the treatment regimen based on the resistance patterns to reduce the number of deaths in HIV-infected patients.

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