Friday, October 3, 2025

Impact of the TB response in Taiwan

Taiwan’s demographic and public health infrastructure has been central to shaping its TB control efforts. The island has experienced rapid demographic transitions, with fertility rates dropping from 7 births per woman in 1951 to 1.09 in 2023, one of the lowest globally. By 2023, only 135,571 newborns were registered, marking the lowest in history, while 18% of the population was aged 65 years or older—a figure projected to reach 20% by 2025, classifying Taiwan as a super-aged society. Despite these demographic pressures, Taiwan has achieved substantial progress in TB control, reducing incidence from 73 per 100,000 in 2005 to 28 in 2023, with mortality dropping from 4.3 to 1.9 per 100,000 over the same period.

These achievements reflect long-standing investments and political commitment. The Taiwan CDC, established in 1999, integrated TB control under a centralized framework, with funding fully covered by the central government. The National TB Program (NTP) introduced milestone initiatives, including the “Ten-Year Halving Tuberculosis Plan” (2006–2015), followed by the “End TB by 2035 Project” (Phase I: 2016–2020; Phase II: 2021–2025), with preparations for Phase III underway. Mandatory case reporting under the Communicable Disease Control Act is strictly enforced, with penalties for physicians and institutions failing to report, while surveillance systems such as the Notifiable Infectious Disease Reporting System (NIDRS), Laboratory Automated Reporting System (LARS), and the National TB Management System ensure comprehensive monitoring and timely data integration.

Taiwan’s National Health Insurance (NHI) plays a crucial role by ensuring universal coverage for 99% of residents. Since 1997, the “No Reporting, No Reimbursement” policy has tied reimbursement of TB services to mandatory notification, incentivizing complete case reporting. Patients can access TB diagnosis and treatment through all hospitals and nearly 90% of private clinics contracted with NHI. To encourage timely diagnosis and treatment, copayments for TB and latent TB infection (LTBI) patients are fully reimbursed by Taiwan CDC, and care for uninsured individuals is also covered. This financial safety net has minimized both patient delays and health system delays in seeking TB care.

A comprehensive patient support structure strengthens these systems. Around 700 TB case managers under a Pay-for-Performance (P4P) scheme coordinate care between clinics and public health services, while 2,500 public health nurses at 374 centers provide education, monitor adherence, and conduct contact tracing. Since 2006, Taiwan has adopted a people-centered Directly Observed Therapy (DOT) program, with government-employed DOT workers assigned to each patient. This model has significantly reduced treatment interruption, loss to follow-up, and TB-specific mortality, maintaining recurrence rates below 1% since 2008. In 2015, Taiwan introduced electronic DOT (eDOT) to enhance accessibility and privacy, which gained renewed traction after the launch of eDOT 2.0 in late 2023.

Special attention has also been given to foreign-born populations, particularly migrant workers, who exceeded 700,000 in 2023 and now account for over 9% of TB cases. Health examinations are mandated shortly after arrival and at regular intervals. Previously, workers diagnosed with TB were repatriated, but regulatory changes since 2014 have allowed them to stay for treatment under DOT. Further amendments in 2015 and 2022 shifted the decision-making power to workers themselves, dramatically increasing the proportion remaining for treatment from 10.6% in 2014 to nearly 89% in 2022. These reforms have improved TB notification among foreign patients, raising timely reporting rates to over 96%.

To alleviate the economic burden of TB, Taiwan provides targeted financial support. The Taiwan Anti-Tuberculosis Association offers an annual grant of USD 31,000 to support low-income patients lacking social welfare resources. A 2018 National TB Patient Catastrophic Cost Survey revealed that 22% of non-MDR-TB and 45% of MDR-TB households experienced catastrophic costs, primarily due to income loss and non-medical expenses rather than direct medical fees. Low household income, stigma, and inpatient care were identified as key risk factors for financial hardship. Taiwan’s system of subsidies, reimbursement of copayments, and dedicated grants reflects its commitment to reducing financial barriers and ensuring equitable access to TB treatment.

Source: Chan, P.C., Chiang, C.Y., Lee, P.H., Lo, H.Y., Chu, P.W., Chen, J.J., Kato, S. and Raviglione, M.C.B., 2025. Assessing the impact of the TB response in Taiwan–the journey towards ending TB. IJTLD open, 2(5), pp.251-259.



Tuberculosis in Patients With Chronic Mental Illness

Patients with mental illness were found to have a significantly higher risk of developing tuberculosis (TB). To investigate this association, this study utilized the National Health Insurance Research Database (NHIRD), a nationally representative dataset in Taiwan, to assess TB incidence among patients with chronic psychiatric disorders—including schizophrenia, bipolar disorder, schizoaffective disorder, and major depressive disorder—compared to the general population. Patients diagnosed between 2002 and 2013 were identified through the Catastrophic Illness Registry, which ensures strict clinical verification and captures only severe and persistent mental illness cases. After excluding individuals with conditions such as type 1 diabetes, cirrhosis, cancer, dialysis, HIV, past TB, and amended diagnoses, a total of 162,377 subjects were included in the analysis. TB cases were defined using the Tuberculosis Database, which requires positive culture results, radiographic abnormalities, and diagnostic confirmation.

The study population consisted of 162,161 mental illness patients and 810,805 matched controls, with no significant baseline differences in sex, age, income, urbanization level, comorbidity index, or major comorbidities, confirming effective propensity score matching. Results showed consistently higher TB incidence in mental illness patients overall (87 vs. 71 per 100,000 person-years), across both sexes, and most age groups. The difference was particularly pronounced in those aged 65 years or older (278 vs. 195). TB incidence was also higher across nearly all income levels and urbanization strata, except for rural towns where rates were slightly lower in patients with mental illness. Importantly, the elevated TB incidence was observed regardless of the presence of type 2 diabetes mellitus or chronic kidney disease.

After adjusting for confounding variables, the conditional Cox proportional hazards model confirmed a 1.48-fold increased risk of TB among patients with mental illness (95% CI: 1.38–1.59). Additional risk factors included older age, which showed a steep increase in hazard ratios (HRs ranging from 1.86 for ages 20–34 to 21.82 for ≥65 relative to <20), and lower income, which was inversely associated with TB risk. Comorbidities such as type 2 diabetes (HR: 1.22) and chronic kidney disease (HR: 1.24) further heightened susceptibility. Cumulative incidence curves demonstrated a persistently higher rate of TB in the mental illness group compared with the general population, underscoring the need for targeted TB screening and preventive strategies for this vulnerable population.

Source: Hung, L.C., Kung, P.T., Tsai, T.H., Tsai, W.C. and Huang, K.H., 2025. Risk Assessment of Tuberculosis in Patients With Chronic Mental Illness and Related Factors: A Population‐Based Cohort Study in Taiwan. The Clinical Respiratory Journal, 19(6), p.e70088.



Thursday, September 18, 2025

Adherence to Tuberculosis Infection Treatment and Tuberculosis Reactivation

A study hypothesized that higher adherence to latent tuberculosis infection (TBI) treatment would lower the risk of tuberculosis (TB) reactivation. Conducted in northern Taiwan, it evaluated treatment completion rates, factors influencing adherence, and their association with TB reactivation in a large patient cohort.

The retrospective analysis included de-identified clinical data collected between 2016 and 2021. Patients were 13 years or older, with either a TBI diagnosis or documented exposure to TB. The goal was to identify high-risk groups and determine how treatment adherence influenced TB prevention.

TBI was defined by diagnostic codes or positive IGRA results. Patients were categorized into four groups: non-initiation (N), incomplete treatment (IC), complete treatment (C), and a control group of TB contacts without IGRA positivity. Adherence above 90% was considered complete.

The final cohort included 1,432 patients: 378 in group N, 330 in IC, 430 in C, and 294 in controls. Over three years, TB developed in 34 patients (2.3%). Risks varied widely, from 6.1% in group N to just 0.5% in group C, showing a strong protective effect of treatment completion.

Patients in the non-initiation group were older and had higher rates of diabetes, chronic kidney disease, end-stage kidney disease, and active cancer. Significant differences in sex distribution, underweight status, smoking history, and HIV prevalence were also seen between groups.

Multivariable Cox regression confirmed that treatment reduced TB risk. Compared with group N, hazard ratios were 0.32 for IC and 0.05 for C. Each 10% increase in adherence lowered risk by about 23–24%. These results remained consistent even after accounting for death as a competing risk.

Overall, 67% of patients were prescribed TBI treatment, but only 38% completed it. Completion was strongly associated with protection against reactivation, underscoring the importance of initiating and finishing therapy, especially in high-risk populations. 

Source: Chien, Y.C., Chang, C.H., Shu, C.C., Wang, H.C. and Yu, C.J., 2025. Adherence to Tuberculosis Infection Treatment and its Impact on Prevention of Tuberculosis Reactivation: A Retrospective Cohort Study from Taiwan. Journal of Infection and Public Health, p.102917.

Sunday, August 10, 2025

Multifactor Strategies for TB Prevention and Control

1. Nutritional Status and TB Risk Evidence from a large Chinese cohort shows that higher BMI is independently protective against TB, with each one-unit increase lowering incidence by nearly 8%. Overweight and obese individuals had the lowest TB risk, while underweight participants experienced the highest, though statistical significance was limited after adjustment. This protective association held across age and sex groups, reinforcing the role of nutritional status in TB susceptibility. The findings align with prior research linking malnutrition to greater TB risk and suggest that improving BMI may have contributed to China’s recent TB declines.

See also: Yoseph Samodra

Policy implications are clear: screening should target individuals with low BMI, particularly in high-burden settings. Nutritional interventions at the community level could serve as effective TB prevention strategies alongside conventional case detection and treatment programs. By integrating dietary support into TB control frameworks, public health efforts could address both malnutrition and infection risk in a single, cost-effective approach.


2. Community-Based TB Detection and Treatment Uganda’s national TB campaigns in 2022 demonstrated the power of community-driven interventions. Within a year, coverage expanded from 76% to 100% of districts, diagnostic unit participation doubled, and reach scaled from 2.9% to 11.6% of the population. Case notification rates jumped by 24% in the first campaign and 59% in the second, aided by mobile diagnostics, preventive therapy for 23,000 high-risk contacts, and integration of leprosy screening. Strong governmental and partner support enabled rapid expansion and ensured operational sustainability.

These results highlight that community mobilization, when coupled with logistical innovations, can dramatically improve TB detection and treatment initiation. Sustaining funding, refining operational tools, and maintaining political commitment are essential to ensuring these gains translate into lasting reductions in TB burden, especially in remote and underserved areas.


3. TB–Diabetes Interaction and Immune Dysfunction TB patients with diabetes mellitus (TB-DM) display a distinct biological profile—marked by elevated inflammatory proteins, atherogenic lipid patterns, and sustained immune activation even after two months of therapy. These abnormalities correlate with worse outcomes, including persistent sputum positivity, suggesting prolonged infection and elevated cardiovascular risk. Hyperglycemia exacerbates immune dysfunction by impairing macrophage oxidative and cytokine responses, downregulating critical receptors, and dampening pathogen clearance.

Managing TB-DM requires a tailored approach. Beyond standard TB therapy, clinicians should consider blood glucose control, anti-inflammatory agents, and lipid-lowering treatments such as statins. Biomarkers could help predict treatment response, enabling early intervention for high-risk patients. Viewing TB-DM as a distinct phenotype, rather than a coincidental comorbidity, may improve both infection control and long-term health outcomes.


4. Environmental and Microbiome Factors in TB Control Research in high-density urban settings confirms that overcrowded housing and close contact with TB patients are significant risk factors for infection, independent of individual knowledge or demographics. Structural interventions—improving ventilation, reducing crowding, and enhancing contact tracing—are therefore essential for disrupting transmission in these environments.

The gut microbiome also plays a critical role in TB immunity, influencing T cell activity and treatment outcomes. Long-term use of anti-TB antibiotics can disrupt this microbial balance, potentially weakening host defenses and compounding risks in patients with structural lung damage from previous infections. Integrating microbiome preservation strategies, along with post-treatment lung health monitoring, could prevent reinfection, reduce opportunistic pathogens, and improve quality of life for TB survivors.

References:

  1. Chen, J., Zha, S., Hou, J., Lu, K., Qiu, Y., Yang, R., Li, L., Yang, Y. and Xu, L., 2022. Dose–response relationship between body mass index and tuberculosis in China: a population-based cohort study. BMJ open, 12(3), p.e050928.
  2. Turyahabwe, S., Bamuloba, M., Mugenyi, L., Amanya, G., Byaruhanga, R., Imoko, J.F., Nakawooya, M., Walusimbi, S., Nidoi, J., Burua, A. and Sekadde, M., 2024. Community tuberculosis screening, testing and care, Uganda. Bulletin of the World Health Organization, 102(6), p.400.
  3. Brake, J., Ajie, M., Sumpter, N.A., Koesoemadinata, R.C., Soetedjo, N.N., Santoso, P., Alisjahbana, B., Ruslami, R., Hill, P. and van Crevel, R., 2025. Inflammation and dyslipidaemia in combined diabetes and tuberculosis; a cohort study. iScience, 28(6).
  4. Sopiani, P., Maemun, S., Azijah, I., Pratiwi, T.Z. and Saputra, R., 2025. Analysis of Risk Factors for Pulmonary Tuberculosis in Cirascas District, East Jakarta, 2022. The Indonesian Journal of Infectious Diseases, 11(1), pp.42-51.
  5. Chaubey, G.K., Modanwal, R., Dilawari, R., Talukdar, S., Dhiman, A., Chaudhary, S., Patidar, A., Raje, C.I. and Raje, M., 2024. Chronic hyperglycemia impairs anti-microbial function of macrophages in response to Mycobacterium tuberculosis infection. Immunologic Research, 72(4), pp.644-653.
  6. Wu, Y., Wang, C. and Li, Y., 2025. Status and outlook of pulmonary tuberculosis coinfection. Journal of Research in Medical Sciences, 30(1), p.34.
TBC 070

Diagnostic Advancements and Clinical Prognostic Indicators

1. Clinical Prognostic Indicators & Treatment Monitoring

  • BMI recovery during M/XDR-TB treatment was a strong predictor of survival; nearly 70% of patients gained weight, and lack of weight gain (especially among underweight and normal BMI patients) was linked to a fivefold increase in mortality.
  • Early weight change during treatment (3–6 months) emerged as a potential independent prognostic factor for survival.
  • Highlights the importance of integrating BMI monitoring and nutritional interventions into TB programs.

See also: Hsien-Ho Lin TB Lab


2. Diagnostic Advancements and Test Performance

  • GeneXpert enabled rapid, accurate TB and rifampicin resistance detection within two hours, supporting early treatment.
  • Second-generation IGRAs showed superior sensitivity (~90%) and fewer indeterminate results compared to traditional IGRAs, especially in smear-negative and extrapulmonary TB cases.
  • Lower false negatives and improved performance across HIV and diabetes patients make these new IGRAs promising for routine use.

See also: Jago Beasiswa


3. TB and Comorbidity Management (Diabetes Focus)

  • Historical and current data affirm that diabetes significantly increases TB risk, especially with poor glycemic control.
  • Dual burden (TB-DM) remains prevalent in high-incidence regions, necessitating integrated care approaches.
  • Evidence also suggests bidirectional interaction, with TB potentially worsening glucose tolerance.


4. Early Detection Strategies & Screening Value

  • Two-way TB screening among DM patients using symptom checklists and imaging uncovered TB cases that might be missed in routine care.
  • Even with a low confirmation rate, the study demonstrated operational feasibility and value of systematic screening in high-risk populations.
  • Reinforces the need to combine symptoms, imaging, and sputum tests for robust case identification.


5. Biomarker and Immunologic Insights

  • A 16-gene transcriptomic signature (COR) was successfully validated for predicting TB progression in two African cohorts.
  • The COR signature, regulated by type I and II interferons, suggests interferon activity as a preclinical marker for TB.
  • Transition from RNA-seq to PCR-based platforms makes gene expression tools more accessible for broader screening and risk stratification.

References:

  1. Chakhaia, T., Blumberg, H.M., Kempker, R.R., Luo, R., Dzidzikashvili, N., Chincharauli, M., Tukvadze, N., Avaliani, Z., Stauber, C. and Magee, M.J., 2025. Lack of weight gain and increased mortality during and after treatment among adults with drug-resistant tuberculosis: a retrospective cohort study in Georgia, 2009–2020. ERJ Open Research.
  2. Hariyanto, S.W., Avidati, H., Ulfah, U., Nurlaily, A.N. and Tejaningrum, K.D., Tuberculosis Screening in Patients with Diabetes Mellitus at the Internal Medicine Clinic of UGM Academic Hospital: Descriptive Study. Academic Hospital Journal, 7(1), p.8.
  3. Petruccioli, E., Scriba, T.J., Petrone, L., Hatherill, M., Cirillo, D.M., Joosten, S.A., Ottenhoff, T.H., Denkinger, C.M. and Goletti, D., 2016. Correlates of tuberculosis risk: predictive biomarkers for progression to active tuberculosis. European Respiratory Journal, 48(6), pp.1751-1763.
  4. Wati, N., Mu’awanah, I.A.U. and Amalia, A.A., 2024. Pulmonary Tuberculosis Incidence Rate with Genexpert Examination Method at Mlati II Public Health Center, Sleman In 2020-2023. International Journal of Health, Economics, and Social Sciences, 6(4), pp.1124-1129.
  5. Cadena, J., Rathinavelu, S., Lopez-Alvarenga, J.C. and Restrepo, B.I., 2019. The re-emerging association between tuberculosis and diabetes: lessons from past centuries. Tuberculosis, 116, pp.S89-S97.
  6. Whitworth, H.S., Badhan, A., Boakye, A.A., Takwoingi, Y., Rees-Roberts, M., Partlett, C., Lambie, H., Innes, J., Cooke, G., Lipman, M. and Conlon, C., 2019. Clinical utility of existing and second-generation interferon-γ release assays for diagnostic evaluation of tuberculosis: an observational cohort study. The Lancet Infectious Diseases, 19(2), pp.193-202.

Yoseph Leonardo Samodra

TBC 069

Impact of the TB response in Taiwan

Taiwan’s demographic and public health infrastructure has been central to shaping its TB control efforts. The island has experienced rapid d...