#PAGE_PARAMS# #ADS_HEAD_SCRIPTS# #MICRODATA#

Rationing tests for drug-resistant tuberculosis – who are we prepared to miss?


Background:
Early identification of patients with drug-resistant tuberculosis (DR-TB) increases the likelihood of treatment success and interrupts transmission. Resource-constrained settings use risk profiling to ration the use of drug susceptibility testing (DST). Nevertheless, no studies have yet quantified how many patients with DR-TB this strategy will miss.

Methods:
A total of 1,545 subjects, who presented to Lima health centres with possible TB symptoms, completed a clinic-epidemiological questionnaire and provided sputum samples for TB culture and DST. The proportion of drug resistance in this population was calculated and the data was analysed to demonstrate the effect of rationing tests to patients with multidrug-resistant TB (MDR-TB) risk factors on the number of tests needed and corresponding proportion of missed patients with DR-TB.

Results:
Overall, 147/1,545 (9.5 %) subjects had culture-positive TB, of which 32 (21.8 %) had DR-TB (MDR, 13.6 %; isoniazid mono-resistant, 7.5 %; rifampicin mono-resistant, 0.7 %). A total of 553 subjects (35.8 %) reported one or more MDR-TB risk factors; of these, 506 (91.5 %; 95 % CI, 88.9–93.7 %) did not have TB, 32/553 (5.8 %; 95 % CI, 3.4–8.1 %) had drug-susceptible TB, and only 15/553 (2.7 %; 95 % CI, 1.5–4.4 %) had DR-TB. Rationing DST to those with an MDR-TB risk factor would have missed more than half of the DR-TB population (17/32, 53.2 %; 95 % CI, 34.7–70.9).

Conclusions:
Rationing DST based on known MDR-TB risk factors misses an unacceptable proportion of patients with drug-resistance in settings with ongoing DR-TB transmission. Investment in diagnostic services to allow universal DST for people with presumptive TB should be a high priority.

Keywords:
Microscopic-observation drug-susceptibility assay, Multidrug-resistant tuberculosis, Tuberculosis, Drug Susceptibility Testing


Autoři: Laura J. Martin 1,2*;  Martha H. Roper 1;  Louis Grandjean 1,2,3;  Robert H. Gilman 1,4;  Jorge Coronel 1;  Luz Caviedes 1;  Jon S. Friedland 2;  David A. J. Moore 1,3,4
Působiště autorů: Laboratorio de Investigación de Enfermedades Infecciosas, Universidad Peruana Cayetano Heredia, San Martín de Porras, Lima, Peru. 1;  Section of Infectious Diseases & Immunity & Wellcome Trust Imperial College Centre for Clinical Tropical Medicine, Imperial College London, London, UK. 2;  LSHTM TB Centre and Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK. 3;  Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA. 4
Vyšlo v časopise: BMC Medicine 2016, 14:30
Kategorie: Research article
prolekare.web.journal.doi_sk: https://doi.org/10.1186/s12916-016-0576-8

© 2016 Martin et al. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
The electronic version of this article is the complete one and can be found online at: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-016-0576-8

Souhrn

Background:
Early identification of patients with drug-resistant tuberculosis (DR-TB) increases the likelihood of treatment success and interrupts transmission. Resource-constrained settings use risk profiling to ration the use of drug susceptibility testing (DST). Nevertheless, no studies have yet quantified how many patients with DR-TB this strategy will miss.

Methods:
A total of 1,545 subjects, who presented to Lima health centres with possible TB symptoms, completed a clinic-epidemiological questionnaire and provided sputum samples for TB culture and DST. The proportion of drug resistance in this population was calculated and the data was analysed to demonstrate the effect of rationing tests to patients with multidrug-resistant TB (MDR-TB) risk factors on the number of tests needed and corresponding proportion of missed patients with DR-TB.

Results:
Overall, 147/1,545 (9.5 %) subjects had culture-positive TB, of which 32 (21.8 %) had DR-TB (MDR, 13.6 %; isoniazid mono-resistant, 7.5 %; rifampicin mono-resistant, 0.7 %). A total of 553 subjects (35.8 %) reported one or more MDR-TB risk factors; of these, 506 (91.5 %; 95 % CI, 88.9–93.7 %) did not have TB, 32/553 (5.8 %; 95 % CI, 3.4–8.1 %) had drug-susceptible TB, and only 15/553 (2.7 %; 95 % CI, 1.5–4.4 %) had DR-TB. Rationing DST to those with an MDR-TB risk factor would have missed more than half of the DR-TB population (17/32, 53.2 %; 95 % CI, 34.7–70.9).

Conclusions:
Rationing DST based on known MDR-TB risk factors misses an unacceptable proportion of patients with drug-resistance in settings with ongoing DR-TB transmission. Investment in diagnostic services to allow universal DST for people with presumptive TB should be a high priority.

Keywords:
Microscopic-observation drug-susceptibility assay, Multidrug-resistant tuberculosis, Tuberculosis, Drug Susceptibility Testing


Zdroje

1. World Health Organization. Global tuberculosis report. Geneva: WHO; 2015. http://www.who.int/tb/publications/global_report/en/. Accessed 3 November 2015.

2. Oxlade O, Falzon D, Menzies D. The impact and cost-effectiveness of strategies to detect drug resistant tuberculosis. Eur Respir J. 2012;39(3):626–34.

3. Moore DAJ, Evans CAW, Gilman RH, Caviedes L, Coronel J, Vivar A, et al. Microscopic-observation drug-susceptibility assay for the diagnosis of TB. N Engl J Med. 2006;355:1539–50.

4. Laboratory Services in TB Control. Parts I, II, and III. Publication No. WHO/tb/98.258. Geneva: WHO; 1998

5. Caviedes L, Moore DAJ. Introducing MODS: a low-cost, low-tech tool for high-performance detection of tuberculosis and multidrug resistant tuberculosis. Indian J Med Microbiol. 2007;25:87–8.

6. Moore DAJ, Mendoza D, Gilman RH, Evans CAW, Hollm Delgado M-G, Guerra J, et al. Microscopic observation drug susceptibility assay, a rapid, reliable diagnostic test for multidrug-resistant tuberculosis suitable for use in resource-poor settings. J Clin Microbiol. 2004;42:4432–7.

7. Kent PT, Kubica GP. Public Health Mycobacteriology: A Guide for the Level III laboratory. CDC 86-216547. Atlanta: Centers for Disease Control and Prevention; 1985.

8. Tortoli E, Mattei R, Savarino A, Bartolini L, Beer J. Comparison of Mycobacterium tuberculosis susceptibility testing performed with BACTEC 460 TB (Becton Dickinson) and MB/BacT (Organon Teknika) systems. Diagn Microbiol Infect Dis. 2000;38:83–6.

9. Feres JC, Mancero X. El método de las necesidades básicas insatisfechas (NBI) y sus aplicaciones en América Latina. New York: CEPAL; 2001.

10. World Health Organization. Guidelines for the programmatic management of drug-resistant tuberculosis 2008. Geneva: WHO; 2008. http://apps.who.int/iris/bitstream/10665/43965/1/9789241547581_eng.pdf. Accessed 11 September 2015.

11. World Health Organization. Companion handbook to the WHO guidelines for the programmatic management of drug-resistant tuberculosis. Geneva: WHO; 2014. http://www.who.int/tb/publications/pmdt_companionhandbook/en/. Accessed 6 July 2015.

12. World Health Organization. Xpert MTB/RIF Assay for the Diagnosis of Pulmonary and Extrapulmonary TB in Adults and Children Policy Update.

2013. http://www.who.int/tb/publications/xpert-mtb-rif-assay-diagnosispolicy-update/en/. Accessed 9 November 2015.

13. Corbett EL, Bandason T, Duong T, Dauya E, Makamure B, Churchyard GJ, et al. Comparison of two active case-finding strategies for communitybased diagnosis of symptomatic smear-positive tuberculosis and control of infectious tuberculosis in Harare, Zimbabwe (DETECTB): a clusterrandomised trial. Lancet. 2010;376:1244–53.

14. Churchyard GJ, Fielding K, Roux S, Corbett EL, Chaisson RE, De Cock KM, et al. Twelve-monthly versus six-monthly radiological screening for active casefinding of tuberculosis: a randomised controlled trial. Thorax. 2011;66:134–9.

15. Menzies D, Benedetti A, Paydar A, Royce S, Madhukar P, Burman W, et al. Standardized treatment of active tuberculosis in patients with previous treatment and/or with mono-resistance to isoniazid: a systematic review and meta-analysis. PLoS Med. 2009;6:e1000150.

16. World Health Organization. Guidelines for the programmatic management of drug-resistant tuberculosis – 2011 update. Geneva: WHO; 2011. http://apps.who.int/iris/bitstream/10665/44597/1/9789241501583_eng.pdf. Accessed 9 November 2015.

17. Fitzpatrick C, Floyd K. A systematic review of the cost and cost effectiveness of treatment for multidrug-resistant tuberculosis. Pharmacoeconomics. 2012;30:63–80.

18. Suárez PG, Floyd K, Portocarrero J, Alarcón E, Rapiti E, Ramos G, et al. Feasibility and cost-effectiveness of standardised second-line drug treatment for chronic tuberculosis patients: a national cohort study in Peru. Lancet. 2002;359:1980–9.

19. Pooran A, Pieterson E, Davids M, Theron G, Dheda K. What is the cost of diagnosis and management of drug resistant tuberculosis in South Africa? PLoS One. 2013;8:e54587.

20. Kendall EA, Fofana MO, Dowdy DW. Burden of transmitted multidrug resistance in epidemics of tuberculosis: a transmission modelling analysis. Lancet Respir Med. 2015;3:963–72.

21. Faustini A, Hall AJ, Perucci CA. Risk factors for multidrug resistant tuberculosis in Europe: a systematic review. Thorax. 2006;61:158–63.

22. Espinal MA, Laserson K, Camacho M, Fusheng Z, Kim SJ, Tlali RE, et al. Determinants of drug-resistant tuberculosis: analysis of 11 countries. Int J Tuberc Lung Dis. 2001;5:887–93.

23. Kliiman K, Altraja A. Predictors of extensively drug-resistant pulmonary tuberculosis. Ann Intern Med. 2009;150:766–75.

24. Boonsarngsuk V, Tansirichaiya K, Kiatboonsri S. Thai drug-resistant tuberculosis predictive scores. Singap Med J. 2009;50:378–84.

25. Martínez D, Heudebert G, Seas C, Henostroza G, Rodriguez M, Zamudio C, et al. Clinical prediction rule for stratifying risk of pulmonary multidrugresistant tuberculosis. PLoS One. 2010;5:e12082.

26. Vassall A, van Kampen S, Sohn H, Michael JS, John KR, den Boon S, et al. Rapid diagnosis of tuberculosis with the Xpert MTB/RIF assay in high burden countries: a cost-effectiveness analysis. PLoS Med. 2011;8:e1001120.

27. Pantoja A, Fitzpatrick C, Vassall A, Weyer K, Floyd K. Xpert MTB/RIF for diagnosis of TB and drug-resistant TB: a cost and affordability analysis. Eur Respir J. 2013;42(3):708–20.

28. Shin SS, Yagui M, Ascencios L, Yale G, Suarez C, Quispe N, et al. Scale-up of multidrug-resistant tuberculosis laboratory services, Peru. Emerg Infect Dis. 2008;14:701–8.

29. Angeby KAK, Klintz L, Hoffner SE. Rapid and inexpensive drug susceptibility testing of Mycobacterium tuberculosis with a nitrate reductase assay. J Clin Microbiol. 2002;40:553–5.

30. El-Sayed Zaki M, Goda T. Rapid phenotypic assay of antimycobacterial susceptibility pattern by direct mycobacteria growth indicator tube and phage amplified biological assay compared to BACTEC 460 TB. Tuberculosis (Edinb). 2007;87:102–8.

31. World Health Organisation. WHO End TB Strategy. http://www.who.int/tb/post2015_strategy/en/. Accessed 18 January 2016.

32. Miotto P, Piana F, Penati V, Canducci F, Migliori GB, Cirillo DM. Use of genotype MTBDR assay for molecular detection of rifampin and isoniazid resistance in Mycobacterium tuberculosis clinical strains isolated in Italy. J Clin Microbiol. 2006;44:2485–91.

Prihlásenie
Zabudnuté heslo

Zadajte e-mailovú adresu, s ktorou ste vytvárali účet. Budú Vám na ňu zasielané informácie k nastaveniu nového hesla.

Prihlásenie

Nemáte účet?  Registrujte sa

#ADS_BOTTOM_SCRIPTS#