Prevalence and risk factors associated with tuberculosis and HIV coinfection in Iran: A multivariate firth logistic regression for rare events
DOI:
https://doi.org/10.3855/jidc.17439Keywords:
TB and HIV coinfection, Firth logistic regression, IranAbstract
Introduction: Among the complications caused by HIV infection, tuberculosis (TB) is the most important challenge. The study aimed to determine the predictors of TB and HIV coinfection by using Firth logistic regression analysis.
Methodology: This cross-sectional study was conducted on 32,168 HIV-positive patients diagnosed in Iran. The required information was obtained from the national HIV/AIDS surveillance data.
Results: The prevalence of TB in HIV patients was 3.2%; the prevalence of TB in males and females was 944 (91.83%) and 84 (8.17%), respectively. Based on results of multivariate Firth logistic regression, male gender OR male/female = 1.91; injecting drug use (IDU) OR YES/NO = 1.46; illiterate or primary groups OR illiterate or primary /university = 2.23; high school group OR high school/ university = 2.24 all increased the risk of TB and HIV coinfection (p < 0.05). Also, having CD4 > 500 [OR CD4 > 500 / < 200 = 0.39], CD4 351-500 [OR351 / < 200 = 0.65], and CD4 200-350 [OR200-350 / < 200 = 0.64] decreased the risk of TB and HIV coinfection (p < 0.001).
Conclusions: According to the results of this study, male gender, low education, injecting drug users, and low CD4 count at the time of diagnosis, were significant predictors of TB and HIV coinfection. Therefore, regular and periodic screening programs and linkage to the care and treatment of HIV patients need special attention.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Alireza mirahmadizadeh , Mehdi Sharafi, Jafar Hassanzadeh , Mozhgan Seif
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).