Monday, February 24, 2025

Paradoxical Link Between Obesity and TB

1. BMI and Drug-Resistant TB

  • Underweight individuals show higher susceptibility to isoniazid (INH)-resistant TB.
  • Overweight and obese patients have an increased risk of MDR-TB.
  • Comorbidities like diabetes and hypertension correlate with higher drug resistance.
  • Suggestion: Implement BMI-based TB screening protocols to identify at-risk individuals early.

2. Paradoxical Link Between Obesity and TB

  • Obesity is directly protective against TB despite its association with diabetes.
  • Higher BMI reduces TB risk even in diabetic individuals.
  • Socioeconomic factors may partially explain this protective effect.
  • Suggestion: Investigate mechanisms behind obesity’s protective role to refine TB prevention strategies.

3. Gaps in the TB Care Cascade

  • Delays in diagnosis and treatment worsen TB outcomes.
  • Country-specific factors (e.g., HIV in Kenya, MDR-TB in Moldova) influence TB burden.
  • Addressing care gaps can significantly reduce TB incidence and mortality.
  • Suggestion: Strengthen TB care pathways with faster diagnosis and treatment initiation.

4. Economic and Healthcare Factors in TB Control

  • Higher GDP and healthcare expenditure correlate with lower TB incidence.
  • Cost-effective interventions improve access to TB care.
  • Financial barriers hinder TB elimination efforts in lower-income settings.
  • Suggestion: Increase TB funding through sustainable health financing models.

5. Strategies for TB Elimination

  • Country-specific interventions (e.g., nutrition in India, latent TB treatment in China) are essential.
  • Active Case Finding (ACF) is hindered by logistical, administrative, and social barriers.
  • Integrating TB screening with other health programs enhances outreach.
  • Suggestion: Streamline ACF processes with digital tools and better community incentives.

References:

  1. Song, W.M., Guo, J., Xu, T.T., Li, S.J., Liu, J.Y., Tao, N.N., Liu, Y., Zhang, Q.Y., Liu, S.Q., An, Q.Q. and Li, Y.F., 2021. Association between body mass index and newly diagnosed drug-resistant pulmonary tuberculosis in Shandong, China from 2004 to 2019. BMC pulmonary medicine, 21, pp.1-14.
  2. Lin, H.H., Wu, C.Y., Wang, C.H., Fu, H., Lönnroth, K., Chang, Y.C. and Huang, Y.T., 2018. Association of obesity, diabetes, and risk of tuberculosis: two population-based cohorts. Clinical Infectious Diseases, 66(5), pp.699-705.
  3. Vesga, J.F., Hallett, T.B., Reid, M.J., Sachdeva, K.S., Rao, R., Khaparde, S., Dave, P., Rade, K., Kamene, M., Omesa, E. and Masini, E., 2019. Assessing tuberculosis control priorities in high-burden settings: a modelling approach. The Lancet Global Health, 7(5), pp.e585-e595.
  4. Menzies, N.A., Gomez, G.B., Bozzani, F., Chatterjee, S., Foster, N., Baena, I.G., Laurence, Y.V., Qiang, S., Siroka, A., Sweeney, S. and Verguet, S., 2016. Cost-effectiveness and resource implications of aggressive action on tuberculosis in China, India, and South Africa: a combined analysis of nine models. The Lancet global health, 4(11), pp.e816-e826.
  5. Sorokina, M., Ukubayev, T. and Koichubekov, B., 2023. Tuberculosis incidence and its socioeconomic determinants: developing a parsimonious model. Annali di Igiene, Medicina Preventiva e di Comunita, 35(4): 468-479.
  6. Houben, R.M., Menzies, N.A., Sumner, T., Huynh, G.H., Arinaminpathy, N., Goldhaber-Fiebert, J.D., Lin, H.H., Wu, C.Y., Mandal, S., Pandey, S. and Suen, S.C., 2016. Feasibility of achieving the 2025 WHO global tuberculosis targets in South Africa, China, and India: a combined analysis of 11 mathematical models. The Lancet Global Health, 4(11), pp.e806-e815.
  7. Shewade, H.D., Ravichandran, P., Pradeep, S.K., Kiruthika, G., Shanmugasundaram, D., Chadwick, J., Iyer, S., Chowdhury, A., Tumu, D., Shah, A.N. and Vadera, B., 2024. Bridging the “know-do” gap to improve active case finding for tuberculosis in India: A qualitative exploration into national tuberculosis elimination program staffs’ perspectives. PloS one, 19(11), p.e0309750.
TBC 041

No comments:

Post a Comment

Determinants of The Incidence of Tuberculosis in Malang Raya Area

Who The study population consisted of all recorded tuberculosis (TB) cases in the Malang Raya area (Malang City, Malang Regency, and Batu ...