Impact of age-stratified latent tuberculosis treatment on disease burden of active tuberculosis: A mathematical modeling study in an aging country with a high disease burden
Hye Seong , Yunjeong Lee , Jiyeon Suh , Jeehyun Lee , Joon Young Song
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引用次数: 0
Abstract
Background
The Republic of Korea has the highest tuberculosis (TB) incidence among OECD countries, with older adults at elevated risk of reactivation. However, latent TB infection (LTBI) control strategies often exclude individuals over 65 due to potential side effects, such as hepatotoxicity. Identifying optimal age groups for intervention is critical.
Methods
We developed an age-structured dynamic transmission model to simulate TB and LTBI progression in Korea. The model was calibrated using TB case data (2011-2018) from the Korea Disease Control and Prevention Agency and the Health Insurance Review and Assessment Service. We projected TB cases averted over 30 years by evaluating LTBI treatment strategies with varying coverage and success rates across age groups.
Results
Targeting LTBI treatment in adults aged 35-64 resulted in the greatest reduction in TB incidence. A fourfold increase in the LTBI treatment rate in this group averted 32,814 cases—compared to 11,564 and 5689 cases in the 19-34 and ≥65 age groups, respectively. Increasing the probability of treatment success had a smaller but similar effect.
Conclusion
Prioritizing LTBI treatment in the 35-64 age group may substantially reduce TB burden and supports age-stratified strategies for national TB control.
期刊介绍:
International Journal of Infectious Diseases (IJID)
Publisher: International Society for Infectious Diseases
Publication Frequency: Monthly
Type: Peer-reviewed, Open Access
Scope:
Publishes original clinical and laboratory-based research.
Reports clinical trials, reviews, and some case reports.
Focuses on epidemiology, clinical diagnosis, treatment, and control of infectious diseases.
Emphasizes diseases common in under-resourced countries.