Prevalence of drug-resistant tuberculosis in Sinaloa Mexico
- Conditions
- Prevalence of drug-resistant Mycobacterium tuberculosis (DR-MTB) in HIV and diabetic patientsInfections and Infestations
- Registration Number
- ISRCTN18957388
- Lead Sponsor
- Autonomous University of Sinaloa
- Brief Summary
2024 Results article in https://doi.org/10.3390/tropicalmed9040089 (added 25/04/2024)
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Completed
- Sex
- All
- Target Recruitment
- 391
1. Aged between 18-85 years old
2. Populations with HIV or T2DM
3. Positive diagnosis in the state of Sinaloa in the period 2019-2021 of pulmonary Mycobacterium tuberculosis
1. Aged 17 years old and under
2. Aged 86 years old and over
3. Extrapulmonary Mycobacterium tuberculosis diagnosis
4. Diagnosis in the other States of México
5. Diagnosis prior to 2019 or after 15 February 2022
6. Clinical cases HIV-TB and T2DM-TB not diagnosed with GeneXpert technique
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Prevalence of rifampicin drug-resistant Mycobacterium tuberculosis, determined by a positive diagnosis using the GeneXpert MTB/RIF Dx System test version 4.7, recorded in the SINAVE database between January 2019 and February 2022
- Secondary Outcome Measures
Name Time Method Recorded in the SINAVE database between January 2019 and February 2022:<br>1. Prevalence of TB/HIV, the following information will be used: p= number of events with the disease/total recorded events<br>2. Prevalence of TB/T2DM, the following information will be used: p= number of events with the disease/total recorded events<br>3. Prevalence of TB/T2DM drug resistance to rifampicin, the following information will be used: p= number of events with the disease/total recorded events<br>4. The correlation between suffering from the disease, HIV or T2DM with the presence of DR-TB, the prevalence ratio will be obtained and subsequently the prevalence odds ratio<br>5. Sociodemographic variables such as sex, age, weight, disease other than HIV or T2DM location of the disease, institution that provides care, the form of diagnosis, smoking, alcoholism and drug addiction will be recorded from the clinical history obtained from the SINAVE database