Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry

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internalnotes 1. The Nobel Foundation. Robert Koch: Biographical. Stockholm, Sweden: The Nobel Foundation, 1905. http://www.nobelprize. org/nobel_prizes/medicine/laureates/1905/koch-bio.html Accessed March 2015. 2. World Health Organization. Global tuberculosis report 2013. WHO/HTM/TB/2013.11. Geneva, Switzerland: WHO, 2013. 3. Department of Statistics Malaysia. Population Projections Malaysia 2010–2040. Putrajaya: Department of Statistics Malaysia, 2012. 4. International Work Group for Indigenous Affairs. Malaysia yearbook 2013. Copenhagen, Denmark: IWGIA, 2013 http:// www.iwgia.org/regions/asia/malaysia. Accessed March 2015. 5. Ministry of Health Malaysia. National Tuberculosis Information System: TBIS Manual. Putrajaya, Malaysia: Ministry of Health Malaysia, 2002. 6. World Health Organization. The Stop TB Strategy. Geneva, Switzerland: WHO, 2006. 7. Choi H, Lee M, Chen R Y, et al. Predictors of pulmonary tuberculosis treatment outcomes in South Korea: a prospective cohort study, 2005–2012. BMC Infect Dis 2014; 14: 360. 8. Munoz-Sellart M, Cuevas L E, Tumato M, Merid Y, Yassin M A. Factors associated with poor tuberculosis treatment outcome in the Southern Region of Ethiopia. Int J Tuberc Lung Dis 2010; 14: 973–979. 9. Yen Y F, Yen M Y, Shih H C, Deng C Y. Risk factors for unfavorable outcome of pulmonary tuberculosis in adults in Taipei, Taiwan. Trans R Soc Trop Med Hyg 2012; 106: 303– 308. 10. Faustini A, Hall A J, Perucci C A. Tuberculosis treatment outcomes in Europe: a systematic review. Eur Respir J 2005; 26: 503–510. 11. Storla D G, Yimer S, Bjune G A. A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health 2008; 8: 15. 12. Vasankari T, Holmstrom P, Ollgren J, Liippo K, Kokki M, Ruutu P. Risk factors for poor tuberculosis treatment outcome in Finland: a cohort study. BMC Public Health 2007; 7: 291. 13. Vasankari T, Holmstrom P, Ollgren J, Liippo K, Ruutu P. Treatment outcome of extra-pulmonary tuberculosis in Finland: a cohort study. BMC Public Health 2010; 10: 399. 14. The Commissioner of Law Revision Malaysia. Laws of Malaysia Act 342 Prevention and Control of Infectious Diseases Act 1988. Kuala Lumpur, Malaysia: The Commissioner of Law Revision Malaysia, 1988. 15. ChinM Y. TB, the diehard disease. The Star Online, 29 July 2010. Petaling Jaya, Malaysia, 2015. http://www.thestar.com.my/ story/?file¼%2F2010%2F7%2F29%2Flifeliving%2F6747410 Accessed March 2015. 16. Lavigne M, Rocher I, Steensma C, Brassard P. The impact of smoking on adherence to treatment for latent tuberculosis infection. BMC Public Health 2006; 6: 66. 17. Slama K, Chiang C Y, Enarson D A. Introducing brief advice in tuberculosis services. Int J Tuberc Lung Dis 2007; 11: 496–499. 18. Lin H H, Ezzati M, Murray M. Tobacco smoke, indoor air pollution and tuberculosis: a systematic review and metaanalysis. PLOS Med 2007; 4: e20. 19. Sabate E, ed. Adherence to long-term therapies: evidence for ´ action. Geneva, Switzerland: World Health Organization, 2003. 20. Baker M A, Harries A D, Jeon C Y, et al. The impact of diabetes on tuberculosis treatment outcomes: a systematic review. BMC Med 2011; 9: 81. 21. Donders A R, van der Heijden G J, Stijnen T, Moons K G. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006; 59: 1087–1091.
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spelling 12087 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12087 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal application/pdf Adobe Acrobat Pro DC 20 Paper Capture Plug-in with ClearScan 4 1.6 Adobe Acrobat 20.6 2024-08-26 18:30:45 6390-01-FH02-FP-15-03355.pdf UniSZA Private Access Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry The International Journal of Tuberculosis and Lung Disease OBJECTIVES To determine treatment outcomes and associated predictors of all patients registered in 2012 with the Malaysian National Tuberculosis (TB) Surveillance Registry. METHODS Sociodemographic and clinical data were analysed. Unfavourable outcomes included treatment failure, transferred out and lost to follow-up, treatment defaulters, those not evaluated and all-cause mortality. RESULTS In total, 21 582 patients were registered. The mean age was 42.36 ± 17.77 years, and 14.2% were non-Malaysians. The majority were new cases (93.6%). One fifth (21.5%) had unfavourable outcomes; of these, 46% died, 49% transferred out or defaulted and 1% failed treatment. Predictors of unfavourable outcomes were older age, male sex, foreign citizenship, lower education, no bacille Calmette-Guérin (BCG) vaccination scar, treatment in tertiary settings, smoking, previous anti-tuberculosis treatment, human immunodeficiency virus infection, not receiving directly observed treatment, advanced chest radiography findings, multidrug-resistant TB (MDR-TB) and extra-pulmonary TB. For all-cause mortality, predictors were similar except for rural dwelling and nationality (higher mortality among locals). Absence of BCG scar, previous treatment for TB and MDR-TB were not found to be predictors of all-cause mortality. Indigenous populations in East Malaysia had lower rates of unfavourable treatment outcomes. CONCLUSIONS One fifth of TB patients had unfavourable outcomes. Intervention strategies should target those at increased risk of unfavourable outcomes and all-cause mortality. 19 7 764-771 1. The Nobel Foundation. Robert Koch: Biographical. Stockholm, Sweden: The Nobel Foundation, 1905. http://www.nobelprize. org/nobel_prizes/medicine/laureates/1905/koch-bio.html Accessed March 2015. 2. World Health Organization. Global tuberculosis report 2013. WHO/HTM/TB/2013.11. Geneva, Switzerland: WHO, 2013. 3. Department of Statistics Malaysia. Population Projections Malaysia 2010–2040. Putrajaya: Department of Statistics Malaysia, 2012. 4. International Work Group for Indigenous Affairs. Malaysia yearbook 2013. Copenhagen, Denmark: IWGIA, 2013 http:// www.iwgia.org/regions/asia/malaysia. Accessed March 2015. 5. Ministry of Health Malaysia. National Tuberculosis Information System: TBIS Manual. Putrajaya, Malaysia: Ministry of Health Malaysia, 2002. 6. World Health Organization. The Stop TB Strategy. Geneva, Switzerland: WHO, 2006. 7. Choi H, Lee M, Chen R Y, et al. Predictors of pulmonary tuberculosis treatment outcomes in South Korea: a prospective cohort study, 2005–2012. BMC Infect Dis 2014; 14: 360. 8. Munoz-Sellart M, Cuevas L E, Tumato M, Merid Y, Yassin M A. Factors associated with poor tuberculosis treatment outcome in the Southern Region of Ethiopia. Int J Tuberc Lung Dis 2010; 14: 973–979. 9. Yen Y F, Yen M Y, Shih H C, Deng C Y. Risk factors for unfavorable outcome of pulmonary tuberculosis in adults in Taipei, Taiwan. Trans R Soc Trop Med Hyg 2012; 106: 303– 308. 10. Faustini A, Hall A J, Perucci C A. Tuberculosis treatment outcomes in Europe: a systematic review. Eur Respir J 2005; 26: 503–510. 11. Storla D G, Yimer S, Bjune G A. A systematic review of delay in the diagnosis and treatment of tuberculosis. BMC Public Health 2008; 8: 15. 12. Vasankari T, Holmstrom P, Ollgren J, Liippo K, Kokki M, Ruutu P. Risk factors for poor tuberculosis treatment outcome in Finland: a cohort study. BMC Public Health 2007; 7: 291. 13. Vasankari T, Holmstrom P, Ollgren J, Liippo K, Ruutu P. Treatment outcome of extra-pulmonary tuberculosis in Finland: a cohort study. BMC Public Health 2010; 10: 399. 14. The Commissioner of Law Revision Malaysia. Laws of Malaysia Act 342 Prevention and Control of Infectious Diseases Act 1988. Kuala Lumpur, Malaysia: The Commissioner of Law Revision Malaysia, 1988. 15. ChinM Y. TB, the diehard disease. The Star Online, 29 July 2010. Petaling Jaya, Malaysia, 2015. http://www.thestar.com.my/ story/?file¼%2F2010%2F7%2F29%2Flifeliving%2F6747410 Accessed March 2015. 16. Lavigne M, Rocher I, Steensma C, Brassard P. The impact of smoking on adherence to treatment for latent tuberculosis infection. BMC Public Health 2006; 6: 66. 17. Slama K, Chiang C Y, Enarson D A. Introducing brief advice in tuberculosis services. Int J Tuberc Lung Dis 2007; 11: 496–499. 18. Lin H H, Ezzati M, Murray M. Tobacco smoke, indoor air pollution and tuberculosis: a systematic review and metaanalysis. PLOS Med 2007; 4: e20. 19. Sabate E, ed. Adherence to long-term therapies: evidence for ´ action. Geneva, Switzerland: World Health Organization, 2003. 20. Baker M A, Harries A D, Jeon C Y, et al. The impact of diabetes on tuberculosis treatment outcomes: a systematic review. BMC Med 2011; 9: 81. 21. Donders A R, van der Heijden G J, Stijnen T, Moons K G. Review: a gentle introduction to imputation of missing values. J Clin Epidemiol 2006; 59: 1087–1091.
spellingShingle Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
summary OBJECTIVES To determine treatment outcomes and associated predictors of all patients registered in 2012 with the Malaysian National Tuberculosis (TB) Surveillance Registry. METHODS Sociodemographic and clinical data were analysed. Unfavourable outcomes included treatment failure, transferred out and lost to follow-up, treatment defaulters, those not evaluated and all-cause mortality. RESULTS In total, 21 582 patients were registered. The mean age was 42.36 ± 17.77 years, and 14.2% were non-Malaysians. The majority were new cases (93.6%). One fifth (21.5%) had unfavourable outcomes; of these, 46% died, 49% transferred out or defaulted and 1% failed treatment. Predictors of unfavourable outcomes were older age, male sex, foreign citizenship, lower education, no bacille Calmette-Guérin (BCG) vaccination scar, treatment in tertiary settings, smoking, previous anti-tuberculosis treatment, human immunodeficiency virus infection, not receiving directly observed treatment, advanced chest radiography findings, multidrug-resistant TB (MDR-TB) and extra-pulmonary TB. For all-cause mortality, predictors were similar except for rural dwelling and nationality (higher mortality among locals). Absence of BCG scar, previous treatment for TB and MDR-TB were not found to be predictors of all-cause mortality. Indigenous populations in East Malaysia had lower rates of unfavourable treatment outcomes. CONCLUSIONS One fifth of TB patients had unfavourable outcomes. Intervention strategies should target those at increased risk of unfavourable outcomes and all-cause mortality.
title Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
title_full Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
title_fullStr Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
title_full_unstemmed Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
title_short Tuberculosis in malaysia: Predictors of treatment outcomes in a national registry
title_sort tuberculosis in malaysia: predictors of treatment outcomes in a national registry