Prevalence of Drug-Resistant Tuberculosis in HIV-Positive and Diabetic Patients in Sinaloa, Mexico: A Retrospective Cross-Sectional Study.
Analy Aispuro PérezLorenzo Ulises Osuna-MartínezJose Angel Espinoza-GallardoLuis Alfredo Dorantes-ÁlvarezGerardo Kenny Inzunza-LeyvaKimberly Estefania Dorantes-BernalGeovanna Nallely Quiñonez-BastidasPublished in: Tropical medicine and infectious disease (2024)
Tuberculosis (TB) is a disease caused by the bacillus Mycobacterium tuberculosis (MTB). Human immunodeficiency virus (HIV) infection and type 2 diabetes mellitus (T2DM) are among the main risk factors for the development of TB and increase the risk of drug-resistant TB developing (DR-TB). The aim of this study was to estimate the prevalence of DR-TB in patients with HIV or T2DM in Sinaloa, Mexico. This was an observational and cross-sectional study. The analysis was conducted using the clinical data of patients registered on the National Epidemiological Surveillance System for TB (SINAVE/PUI-TB) platform with a presumed diagnosis of TB during 2019 to 2021 in Sinaloa, Mexico. The prevalence of DR-TB was estimated in HIV and T2DM patients, as well as the odds ratios for their sociodemographic variables, using the Chi-square test. There were 2, 4, and 4 TB-HIV cases and 2, 6, and 9 TB-T2DM cases during 2019, 2020, and 2021, respectively, whereas there were 2 and 1 DRTB-HIV and DRTB-T2DM cases, respectively. The results indicated that the WHO guidelines for DR-TB were not properly applied to this high-risk population. Hence, the appropriate application of guidelines for TB and DR-TB detection in these patients needs to be immediately implemented by the State health system.
Keyphrases
- mycobacterium tuberculosis
- hiv positive
- human immunodeficiency virus
- antiretroviral therapy
- drug resistant
- pulmonary tuberculosis
- hiv infected
- end stage renal disease
- hepatitis c virus
- men who have sex with men
- newly diagnosed
- chronic kidney disease
- ejection fraction
- hiv aids
- multidrug resistant
- hiv testing
- prognostic factors
- risk factors
- south africa
- public health
- clinical practice
- machine learning
- acinetobacter baumannii
- cardiovascular disease
- editorial comment
- adipose tissue
- artificial intelligence
- patient reported
- glycemic control
- deep learning