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Outcomes from patients with presumed drug resistant tuberculosis in five reference centers in Brazil

BMC Infectious Diseases volume 17, Article number: 571 (2017) Cite this article

Abstract

Background

The implementation of rapid drug susceptibility testing (DST) is a current global priority for TB control. However, data are scarce on patient-relevant outcomes for presumptive diagnosis of drug-resistant tuberculosis (pDR-TB) evaluated under field conditions in high burden countries.

Methods

Observational study of pDR-TB patients referred by primary and secondary health units. TB reference centers addressing DR-TB in five cities in Brazil. Patients age 18 years and older were eligible if pDR-TB, culture positive results for Mycobacterium tuberculosis and, if no prior DST results from another laboratory were used by a physician to start anti-TB treatment. The outcome measures were median time from triage to initiating appropriate anti-TB treatment, empirical treatment and, the treatment outcomes.

Results

Between February,16th, 2011 and February, 15th, 2012, among 175 pDR TB cases, 110 (63.0%) confirmed TB cases with DST results were enrolled. Among study participants, 72 (65.5%) were male and 62 (56.4%) aged 26 to 45 years. At triage, empirical treatment was given to 106 (96.0%) subjects. Among those, 85 were treated with first line drugs and 21 with second line. Median time for DST results was 69.5 [interquartile - IQR: 35.7–111.0] days and, for initiating appropriate anti-TB treatment, the median time was 1.0 (IQR: 0–41.2) days. Among 95 patients that were followed-up during the first 6 month period, 24 (25.3%; IC: 17.5%–34.9%) changed or initiated the treatment after DST results: 16/29 MDRTB, 5/21 DR-TB and 3/45 DS-TB cases. Comparing the treatment outcome to DS-TB cases, MDRTB had higher proportions changing or initiating treatment after DST results (p = 0.01) and favorable outcomes (p = 0.07).

Conclusions

This study shows a high rate of empirical treatment and long delay for DST results. Strategies to speed up the detection and early treatment of drug resistant TB should be prioritized.

Peer Review reports

Background

In 2015, WHO estimates that there were about 580,000 newly eligible for multidrug resistant tuberculosis (MDR-TB) treatment. Nevertheless, only 125,000 (20%) were enrolled. Approximately 60% of them occurred in Brazil, China, India, the Russian Federation, South Africa, Indonesia and Nigeria [1, 2]. Low rates of treatment completion or cure (58 to 67%) in MDR-TB have been described in a recent systematic reviews and meta-analyses [3,4,5,6]. In order to respond more effectively to the emergence of co-infection with TB and HIV and MDR-TB globally, WHO has recommended new TB diagnostic technologies, and most recently, rapid drug susceptibility testing using molecular Line Probe Assays or Xpert MTB RIF [7, 8]. The implementation of these techniques should help programs to cope with the current clinical management demands and also may help implementation of the new anti-TB regimens that are in the pipeline.

However, only a handful studies of the clinical impact on adult patients with a presumed diagnosis of drug-resistant tuberculosis (DR-TB) under field conditions in high burden countries have been published regarding the incorporation of new molecular technologies for TB diagnosis.

Clinicians often start empirical TB treatment regimens before culture and DST results become available. There are several reasons for this, including the fact that culture and DST results often take a long time and, sometimes, do not even become available at all. This tradition of empirical treatment has major implications on the impact of newer and more sensitive diagnostic tests with faster laboratory turnaround times [9,10,11,12,13,14,15,16,17,18,19].

In Brazil, much advancement in tuberculosis control in the past 10 years have been described. Despite all this progress, some very serious obstacles still need to be addressed, including the low rate of detection of drug-resistant TB and, also, the high morbidity and mortality rate among MDR-TB cases [20]. In 2012, culture was performed in 17.4% of TB cases reported. Only 28.1% of those cases were previously treated TB cases. MTBDRplus, Xpert™ MTB/Rif and MGIT960 have been commercialized in Brazil, even though without being formally incorporated into the public health system for the diagnosis of DR/MDR-TB. Still, no data is available regarding the use of these new diagnostic technologies in public TB reference centers that manage DR/MDR-TB. In 2015, plans were made to implement Xpert™ MTB/Rif in 90 municipalities, covering 55% of the TB burden in the country. According to this, it was expected that the detection of DR-TB cases would increase 3 to 4 fold [21]. In order to assist the impact evaluation of the incorporation of these new molecular tests in the Brazilian Unified Health System (SUS), the International Union Against Tuberculosis and Lung Disease (The Union), through the TREAT TB initiative, the Brazilian Network of Tuberculosis Research (REDE-TB) and, the Academic Tuberculosis Program of the Federal University of Rio de Janeiro, proposed a crossover randomized pragmatic clinical trial (Register N. RBR-4rprbd). Prior to this trial an observational and descriptive baseline study among pDR-TB cases evaluated in State Reference Centers has been completed and is reported here. The objectives of this observational study were to describe the clinical and laboratory management of patients with pDR-TB and to describe risk factors for DR/MDR-TB in patients attending DR-TB reference centers in four Brazilian states.

Methods

Setting

Five sites from four different regions in Brazil were included: inpatient services at Hospital Sanatorio Partenon-Secretaria Estadual de Saúde do Rio Grande do Sul (HU-SES-RGS), Hospital Messejana – Secretaria Estadual do Ceará (HM-SES-CE), Instituto Estadual Ary Parreiras – Secretaria Estadual do Rio de Janeiro (IETAP-SES-RJ), outpatient services at Instituto Clemente Ferreira – Secretaria Estadual de São Paulo (ICF-SES-SP) and, Centro de Referência Hélio Fraga – Fundação Oswaldo Cruz – Rio de Janeiro (CRPHF-Fiocruz-RJ).

Participants

Eligible participants were any patients aged 18 years and older with cough for 3 weeks or more and, in accordance with national guidance [22], with the presence of at least one of the following social-clinical conditions defining them as pDR TB at triage as follows: (a) suspected re-treatment failure or previous treatment default; (b) HIV seropositive subjects, c) close contact with smear positive MDR-TB cases, (d) homeless or e) hospitalization in TB reference centers. All participants gave written Informed Consent. Subjects were excluded if they: (a) had DST results (drug resistant or drug sensitive) from another laboratory that had been used by an attending physician to start anti-TB treatment at triage; (b) had no laboratory assessment of the drug sensitivity confirmation of M. tuberculosis; (c) were harboring environmental mycobacteria and, (d) had no clinical and/or laboratory results available in the medical records.

Data collection

Local study staff was comprised by one of each of the following: a attending physician, a nurse, and a laboratory technician that belonged to the professional staff of the Health Unit. During the study period, the survey was carried out by the study staff on all presumed drug resistant TB that fulfilled the eligibility criteria and was attended consecutively in five Health Units. Prospectively, routinely collected clinical data were extracted onto a Study Form from patient registers and clinical records. Patient registers contained information on all included patients listed in consecutive order with name, age, sex, address, phone number, type of patients (previous treatment classification) and date of diagnosis (when available). Also, it was collected from medical records, clinical data, socio-demographics, previous treatment failures or defaults, HIV status and hospitalization. Clinical samples collected in Health Units were sent to a local laboratory using standard practice. Laboratories issued results according to routine procedures. All clinical samples from these 5 sites were sent to the local Mycobacterial Laboratory for smear microscopy, culture, drug susceptibility testing and identification at species level. Participants were assigned to have their samples submitted to the following routine bacteriological tests: BACTEC™ MGIT 960™ Mycobacterial Detection System (MGIT960) or Lowenstein-Jensen (LJ)/Ogawa Kudo (OK) and Proportion Method (PM), according to the Brazilian Tuberculosis National Guidelines [22]. Tests were performed according to laboratory routine and the techniques used are all fully described [23]. Clinical and radiological improvement was judged by the attending physicians at each site. TB patients received anti-TB treatment and clinical follow-up from the attending physician as routinely planned in the local algorithm. In summary, routine clinical procedures were not affected by this study. Every 2 months, data monitoring research team checked all clinical and laboratory data collected.

Case definition

Drug resistant (DR-TB) cases were defined as those harboring M. tb isolates resistant to one or more drugs and multidrug resistant (MDR-TB) cases as resistant to at least Rifampin-RIF and Isoniazid-INH. Drug sensitive (DS-TB) cases were defined as those harboring M.tb isolates susceptible to all first-line anti-TB drugs (RMP, INH, Ethambutol-EMB, Pyrazinamid-PZA and Streptomycin-SM). Empirical treatment was defined when at triage physicians started TB treatment regimen before DST results were available. Appropriate anti-TB treatment was defined accordingly to the regimen prescribed by the attending physician (matching DST results). Interim treatment outcomes were evaluated after 6 months of enrollment using available data from medical records. Retreatment cases were grouped according to the outcome of previous treatment: cured, completed, defaulted or failed. A patient was defined as cured when tested smear-negative at treatment completion or, at least in one of the previous test.

A completed treatment was defined as patients who completed treatment but without smear microscopy proof of cure. Persons who had treatment interruption for two consecutive months or more were grouped as defaulted. Those who remained smear-positive when tested five or 6 months after initiation of their previous treatment were defined as treatment failures. Clinical or radiological improvement and/or culture conversion were considered favorable TB treatment responses. Death from any cause and default were unfavorable. Transferred care cases which had no outcome data were all excluded.

Endpoints

A standard form was created in order to collect data regarding to the following timing: triage (screening visit), sputum collection, DST result released by laboratory, DST results seen by the physician and, initiation or change of TB treatment regimen after DST results. The primary endpoint was time from triage to initiation or change of TB treatment regimen because of the DST result. The secondary endpoint was the proportion of favorable treatment outcomes according to the initial empirical treatment regimen prescribed as follows: with first line drug regimen (RIF + INH + EMB + PZA) or with second line drug regimen (ethionamide, levofloxacin, amikacyn/capreomicyin, clofazimine).

Statistical analysis

We compared socio-demographic and clinical characteristics between included and excluded patients. Also, we identified the factors associated with drug resistance. Exploratory analysis was carried out through dichotomous outcomes based on the calculation proportion for all the different groups. For continuous outcomes, median and interquartiles were used. Sample distribution of time periods from triage to DST results and to initiate or change TB treatment were compared. Fisher’s Exact Test with mid-p correction for comparisons between proportions was used, as well as the Mann-Whitney Test to compare differences in morbidity. All analyses were performed using SPSS software (version 17).

The protocol was approved by the National Research Ethics Committee (CONEP N° 520/2011; Register: 16,571 – Process: n° 25,000.115789/2011–94) and by the Ethics Advisory Group at The Union, number: 11/11. The protocol was also approved by each appropriate local Institutional Review Board and Ethics Committee.

Results

A total of 175 eligible presumed DR-TB patients were evaluated and 110 (63.0%) enrolled. Among the 65 excluded cases, the physicians used previous DST for decision making in 40 (DR: 39 and DS:1); 12 cases had no DST results available, 11 cases had no additional clinical and/or laboratory results available at the medical records, and two had growing atypical mycobacteria (Fig. 1- Flow diagram for Baseline Prove IT/5 sites 2011–2012). A higher proportion of exclusion was observed at CRPHF-Fiocruz-RJ (55.0%; 22/40) and lower at HP-SES-RGS (14.0%; 6/43) (data not shown). The 65 excluded patients were similar to the 110 included in all socio-demographic, clinical and behavioral respects, except for higher schooling status (Table 1: Comparison of sociodemographic, behavior and clinical characteristics of presumed DR TB cases included and excluded in the study).

Fig. 1
figure 1

Flow diagram for Baseline Prove IT/5 sites 2011–2012. Amongst the 175 pacientes, 110 were included in the study, being 51(46%) drug resistant and. Of these, 31(61%) are multi drug resistant.

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Table 1 Comparison of sociodemographic, behavior and clinical characteristics of Presumed DR TB cases included and excluded in the study
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Among those included were: 72 (65.5%) males, 62 (56.4%) aged 26 to 45 years, 20 (18.2%) with alcoholism, 83 (75.5%) current/ex-smokers, 37 (33.6%) admitted in hospitals, 21 (19.0%) referred as staying in prison during the last 2 years and, 3 (2.7%) type 2 diabetes mellitus. HIV infection was identified in 12 (10.9%) and contact with TB was shown in 50 (55.0%). TB in the past was identified in 87 (79.1%), and among them, 31 (28.2%) with more than three treatments (Table 1).

Time (in days) from triage to sputum collection was 0.0 (interquartile-IQR: 0–1.0); from triage to culture results was 32.5 (IQR: 14.7–63.0); from triage to DST results released by laboratory was 69.5 (IQR: 35.7–111.0); from triage to DST results seen by the physicians was 97.0 (IQR: 64.2–143.0) and, from triage to adoption of appropriate TB treatment, it was 1.0 (IQR: 0–41.2) [Table 2 – Description of time from triage and different medical and laboratory procedures among 110 presumed DR TB suspects]. The median time (in days) from triage to DST results released by the laboratory [133.0 (IQR: 95.0–184.0)] and, time from triage to DST results seen by physicians [139.0 (IQR: 96.0–185.0)], were the longest at IETAP-SES-RJ. The time (in days) from triage to DST results released by laboratory [35.0 (IQR: 27.0–58.7)] and time from triage to DST results seen by the physicians, [65.0 (IQR:36.0–86.0)] were the shortest at HM-SES-CE. The median time (in days) from triage to appropriate TB treatment was the longest at ICF-SES-SP [35 (IQR: 35.0–99.0)], and the shortest at HP-SES-RS [0 (IQR: 0–5.0)] (Table 2).

Table 2 Description of time from Triage and different medical and laboratorial procedures among 110 presumed DR TB suspects
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Culture results were provided by solid medium in 55 (45.1%) cases [LJ:2 (1.6%), Ogawa Kudo: 53 (43.4%)] and MGIT960 in 67 (54.9%) cases. Smear positive/culture positive and smear negative/culture positive cases were identified in 96 (84.2%) and 16 (14.0%) cases, respectively. Two cases did not have smears but had positive cultures. DST results were available on 110 cases: 18 (16.4%) performed by the PM and, 92 (83.6%) where the MGIT960 was used. DST results were provided by PM more frequently in HSP-SES-RS. The median time (in days) of laboratory released results of susceptibility testing was similar with solid medium 70 (IQR: 63.0–113.5) as that observed with liquid medium 67 (IQR:33.5–114.5) [data not shown].

The distribution of drug resistance is shown in Table 3 (Resistance for 1st line anti-TB drugs among M.tuberculosis isolates from presumed drug resistant TB cases en 5 Reference Centers – Brazil). Overall, DR and MDR-TB rates were high: 51 (46.4%, 95% CI 37.3–55.6) and, 28 (25.5%, 95% CI 18.2–34.4) cases, respectively. Among subjects not previously treated, 22 had MDR (25.3%, 95% CI 17.3%–35.4%). Among previously treated subjects, 6 had MDR (26.1%, 95% CI 12.3–46.7). Resistance rates were particularly high for INH (n = 35, 40.2%, RIF n = 24, 27.6% and EMB (n = 16, 18.4%). Among the 24 M tuberculosis strains resistant to RMP, 23 (96.0%; 95% CI: 78.0–99.0) were also resistant to INH.

Table 3 Resistance for 1st line anti-TB drugs among M.tuberculosis isolates from presumed Drug Resistant TB cases in 5 Reference Centers - Brazil
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Among 110 pDR-TB evaluated at triage, empirical treatment was identified in 106 (96.0%). Arriving at triage, 36 (33.0%) patients referred by primary or secondary health units were already taking anti-TB treatment, including 34 using standardized first line regimen and two with second line drugs. At triage, TB drugs were prescribed by the attending specialist as follows: 70 with first-line regimen and 21 with second line drugs.

Comparing the demographics, behavior and clinical characteristics of DR/MDR-TB to DS-TB cases and, MDR-TB to DS-TB cases, each one, separately, presented the following results: lower proportions of co-morbidity (p = 0.05; p = 0.04); weight loss (p < 0.01; p < 0.01); sweating (p = 0.04; p = 0.01) and, dyspnea (p = 0.05; p = 0.02) [Table 4 – Demographic, behavior and clinical characteristics of presumed drug resistant TB at triage].

Table 4 Demographic, Behaviour and Clinical Characteristics of Presumed Drug Resistant TB at Triage
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Comparing the radiological and Laboratory Results and Treatment Prescription at Triage to DS-TB cases, MDR TB cases were associated with lower proportion of typical image on chest x ray (p = 0.03) [Table 5 – Radiological and laboratory results and treatment prescription at triage and during the follow-up in 110 presumed drug resistant tuberculosis cases].

Table 5 Radiological and Laboratory Results and Treatment Prescription at Triage and during the follow-up in 110 Presumed Drug Resistant Tuberculosis Cases
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From the 110 pDR-TB included, 95 (86.0%) had been followed-up until the 6th. month. Between those subjects, 45 were DS-TB and 50 were DR/MDR-TB. Among those 95 patients, 24 (25.3%: IC:17.5%–34.9%) changed or initiated the treatment after DST results, totaling 16/29 (MDRTB), 5/21 (DR-TB), and 3/45 (DS-TB cases).

Comparing the treatment outcome in 95 pDR-TB cases followed-up to DS-TB cases, DR/MDR and MDR-TB had higher proportion, respectively, of changing or initiate treatment after DST results (p = 0.05, p = 0.01) and favourable outcome (p = 0.04 and p = 0.07) (Table 5).

Among all subjects followed-up, unfavorable outcome was identified in 35 (36.8%; IC: 27.8–46.9), as follows: 2 (2.1%) died, 22 (23.0%) defaulted, 11 (11.6%) failed, and 4 (4.2%) were transferred to another health unit (Table 4). The default rate was higher among DS-TB cases (20/45: 44.4%) than among DR/MDR-TB cases (2/46: 4.3%).

Discussion

This is a descriptive study, in a high burden country, of the health system approach at reference center level to the investigation and management of patients suspected of having drug resistant TB. At triage in those centers, we observed a high rate (96.0%) of empirical treatment, similar to that reported (96.0%) by Theron et al. [13] among presumed drug sensitive and drug resistant pulmonary TB cases detected by Xpert and higher than that (59.0%) described by Yacobson et al. evaluating presumed drug resistant TB cases [15].

Probably, physicians started anti-TB medication for suspected drug resistant TB before the results of susceptibility testing, due to previous delays experienced in the release of such results by phenotypic tests. Nevertheless, the median release time of DST results was 69.5 days, similar to (52–70 days) observed by Hannarah [10], Tukvadze et al. [11] and Yadava et al. [14] and lower than described (106–133 days) by Boheme et al. [12], Shin et al. [24], and Gler et al. [25].

In our sample, the release median time for the results of susceptibility testing was similar with solid medium (70 days), such as that observed with liquid medium (67 days), which in turn, is different to those results described by Tukvadze et al. [11], where the average time was lower (21.6 days) with liquid medium.

The median time from first admission to the Reference Unit to start the appropriate treatment for DR-TB suspects was 1.0 day, which is lower than that described (67–133 days) by Hannarah et al. [10], Jacobson et al. [15], Joh et al. [26], Shin [24] and Gler [25]. This result may be different as the other studies did not describe the relationship with empirical treatment and the change of treatment after DST results were released.

We observed a large time variation from DST results availability and the start of the appropriate treatment within the 5 reference centers. Major delays in the DST results released by laboratories and seen by physicians occurred in the sites that lacked DST in local laboratories and had no computerized system to release the information to the health care team right away. This confirms that the organization of services should be taken into account when evaluating the incorporation of new diagnostic technologies for TB as commented on by Creswel et al. [16] when implementing Xpert MTB Rif in 9 countries and by Jacobson and Yannarah on the implementation of MDRTB plus in South Africa [10, 15].

High proportions of drug resistant TB (46.0%) and multidrug-resistant TB (25.5%) were found, even in those not previously treated. This results were similar to those described in other studies in which patients with suspected drug resistant TB were evaluated [3, 24, 27, 28]. Among the M. tuberculosis strains resistant to rifampicin, 96.0% were resistant to INH, such as described by Kurbatova [29] suggesting that rifampicin resistance can be used as a proxy for MDR-TB.

The factors associated with the occurrence of MDR-TB observed in our study (lower sweating, presence of comorbidities and typical chest x ray images) were similar to those described by Martinez [30]. However, we observed no association of MDR-TB with other variables identified in other studies, such as TB in the past, contact with TB, cavitation in chest X-ray, alcoholism, smoking, type 2 diabetes mellitus, HIV infection, and prison inmates [28, 30,31,32,33,34]. Such results may reflect the small sample size and low frequency of these variables in MDR-TB cases.

In our study, DR and MDR TB cases had higher proportions changing or initiating treatment after DST results and higher favorable outcomes, similar to those described (44.0%–57.0%) by Yacobson [15] and Gler [25].

Compared to DS-TB cases, no difference was observed in culture conversion at the sixtieth month in patients with drug resistant TB, which is a different result from that described by others [10, 15, 30]. At the sixtieth month of follow-up, it was observed a high defaulting rate (23.0%) similar to that described (26.0%) by Tockzek et al. [35] when evaluating 10 studies where no direct observed therapy was performed.

The strengths of our study include: (a) standardized screening of presumed DR TB patients enrolled from 5 Reference Sites in four States; (b) the culture and DST were done in a reference laboratory that follows the standard WHO guidelines and, (c) the personnel performing the DST were unaware of the patient’s clinical or radiographic findings. The limitations of this study are that it relies on small sample size from metropolitan areas within four States, which may not be representative of the whole country, and that we included only patients with culture confirmed TB. Additionally, the exclusion of individuals at high risk for MDR TB that doctors used a previous DST result to manage treatment, may explain the lack of association with factors such as previous TB, contact with TB, cavitation in chest X-ray, alcoholism, smoking, type II diabetes mellitus, as described in the literature.

Conclusions

This study shows a high rate of empirical treatment and long delays for DST results. Favorable treatment outcomes among DR and MDR-TB patients was due to the adoption of an appropriate treatment, mainly among those that started first line regimens empirically. Improvements in the flow of patients and/or clinical samples to referral centers and, use of triage clinical procedures at referral level with higher performance, may be helpful to provide a more appropriate case management.

Abbreviations

CI:

Confidence interval

CRPHF-Fiocruz-RJ:

Centro de Referência Hélio Fraga – Fundação Oswaldo Cruz – Rio de Janeiro

DRTB:

Drug resistant tuberculosis

DST:

Drug susceptibility test

DSTB:

Drug sensitive tuberculosis

EMB:

Ethambutol

HM-SES-CE:

Hospital Messejana – Secretaria Estadual do Ceará

HU-SES-RGS:

Hospital Sanatorio Partenon-Secretaria Estadual de Saúde do Rio Grande do Sul

ICF-SES-SP:

Instituto Clemente Ferreira – Secretaria Estadual de São Paulo

IETAP-SES-RJ:

Instituto Estadual Ary Parreiras – Secretaria Estadual do Rio de Janeiro

INH:

Isoniazid

IQR:

Interquartile

LJ:

Lowenstein Jensen

MDRTB:

Multi-drug resistant tuberculosis

pDRTB:

Presumtive diagnosis of drug-resistant tuverculosis

PM:

Methods of proportions

PZA:

Pyrazinamide

RIF:

Rifampicin

TB:

Tuberculosis

References

  1. World Health Organization: Global Tuberculosis Report (2016). http://apps.who.int/iris/bitstream/10665/250441/1/9789241565394-eng.pdf. Accessed 24 May 2017.

  2. World Health Organization: Drug-resistant TB Surveillance & Response - Global Tuberculosis Report (2014). http://apps.who.int/iris/bitstream/10665/137094/1/9789241564809_eng.pdf. Accessed 12 Dec 2014.

  3. WHO/IUATLD Global Project on Anti-Tuberculosis Drug Resistance Surveillance. Anti-tuberculosis drug resistance in the world: fourth global report. Geneva: World Health Organization; 2008. p. 142.

    Google Scholar 

  4. Orenstein EW, Basu S, Shah NS, et al. Treatment outcomes among patients with multidrug-resistant tuberculosis: systematic review and meta-analysis. Lancet Infect Dis. 2009;9(3):153–61.

    Article  PubMed  Google Scholar 

  5. Johnston JC, Shahidi NC, Sadatsafavi M, FitzGerald JM. Treatment outcomes of multidrug-resistant tuberculosis: a systematic review and meta analysis. PLoS One. 2009;4(9):e6914. doi:10.1371/journal.pone.0006914.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Ahuja SD, Ashkin D, Avendano M, Banerjee R, Bauer M, Bayona JN, Becerra MC, Benedetti A, Burgos M, Centis R, Chan ED, Chiang CY, Cox H, D'Ambrosio L, DeRiemer K, Dung NH, Enarson D, Falzon D, Flanagan K, Flood J, Garcia-Garcia ML, Gandhi N. Multidrug resistant pulmonary tuberculosis treatment regimens and patient outcomes: an individual patient data meta-analysis of 9,153 patients. PLoS Med. 2012;9(8):e1001300. Epub 2012 Aug 28.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. World Health Organization (WHO). Molecular line probe assays for rapid screening of patients at risk of multidrug-resistant Tuberculosis. http://www.who.int/tb/features_archive/policy_statement.pdf. Accessed 2 Nov 2013.

  8. World Health Organization (2013). WHO monitoring of Xpert MTB/RIF rollout. http://apps.who.int/iris/bitstream/10665/112469/1/9789241506700_eng.pdf. Accessed 24 May 2017.

  9. Theron G, Peter J, Dowdy D, Langley I, Squire SB, Dheda K. Do high rates of empirical treatment undermine the potential effect of new diagnostic tests for tuberculosis in high-burden settings? Lancet Infect Dis. 2014;14(6):527–32. doi:10.1016/S1473-3099(13)70360-8. Epub 2014 Jan 15.

    Article  PubMed  Google Scholar 

  10. Hanrahah CF, Dorman SE, Erasmus L, Koornhof H, Coetzee G, Golub JE. The impact of expanded testing for multidrug resistant tuberculosis using genotype MTBDRplus in South Africa: an observational cohort study. PLoS One. 2012;7(11):e49898. doi:10.1371/journal.pone.0049898. Epub 2012 Nov 30.

    Article  Google Scholar 

  11. Tukvadze N, Kempker RR, Kalandadze I, Kurbatova E, Leonard MK, Apsindzelashvili R, Bablishvili N, Kipiani M, Blumberg HM. Use of a molecular diagnostic test in AFB smear positive tuberculosis suspects greatly reduces time to detection of multidrug resistant tuberculosis. PLoS One. 2012;7(2):e31563. doi:10.1371/journal.pone.0031563. Epub 2012 Feb 9.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. Boehme CC, Nicol MP, Nabeta P, et al. Feasibility, diagnostic accuracy, and effectiveness of decentralised use of the Xpert MTB/RIF test for diagnosis of tuberculosis and multidrug resistance: a multicentre implementation study. Lancet. 2011;377:1495–505.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Theron G, Zijenah L, Chanda D. Et al; for the TB-NEAT team. Feasibility, accuracy, and clinical eff ect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial. Lancet. 2014;383(9915):424–35. doi:10.1016/S0140-6736(13)62073-5. Epub 2013 Oct 28.

    CAS  Article  PubMed  Google Scholar 

  14. Yadav RN, Singh BK, Sharma SK, Sharma R, Soneja M, Sreenivas V, Myneedu VP, Hanif M, Kumar A, Sachdeva KS, Paramasivan CN, Vollepore B, Thakur R, Raizada N, Arora SK, Sinha S. Comparative evaluation of GenoType MTBDRplus line probe assay with solid culture method in early diagnosis of multidrug resistant tuberculosis (MDR-TB) at a tertiary care centre in India. PLoS One. 2013;8(9):e72036. doi:10.1371/journal.pone.0072036eCollection 2013.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Jacobson KR, Theron D, Kendall EA, Franke MF, Barnard M, van Helden PD, Victor TC, Streicher EM, Murray MB, Warren RM. Implementation of genotype MTBDRplus reduces time to multidrug-resistant tuberculosis therapy initiation in South Africa. Clin Infect Dis. 2013;56(4):503–8. doi:10.1093/cid/cis920. Epub 2012 Oct 22.

    CAS  Article  PubMed  Google Scholar 

  16. Creswell J, Codlin AJ, Andre E, Micek MA, Bedru A, Carter EJ, Yadav RP, Mosneaga A, Rai B, Banu S, Brouwer M, Blok L, Sahu S, Ditiu L. BMC Infect Dis. 2014;14:2. doi: 10.1186/1471-2334-14-2.

  17. Dinnes J, Deeks J, Kunst H, Gibson A, Cummins E, Waugh N, Drobniewski F, Lalvani A. A systematic review of rapid diagnostic tests for the detection of tuberculosis infection. Health Technol Assess. 2007;11(3):1–196.

    CAS  Article  PubMed  Google Scholar 

  18. Barnard M, Albert H, Coetzee G, O’Brien R, Bosman ME. Rapid molecular screening for multidrug-resistant tuberculosis in a high volume public health laboratory in South Africa. Am J Respir Crit Care Med. 2008;177:787–92.

    Article  PubMed  Google Scholar 

  19. Casal M, Vaquero M, Rinder H, Tortoli E, Grosset J, et al. A case control study for multidrug-resistant tuberculosis: risk factors in four European countries. Microb Drug Resist. 2005;11:62–7.

    CAS  Article  PubMed  Google Scholar 

  20. Oliveira GP, Torrens AW, Bartholomay P, Barreira D. Tuberculosis in Brazil: last ten years analysis - 2001-2010. Braz J Infect Dis. 2013;17(2):218–33. doi:10.1016/j.bjid.2013.01.005.

    Article  PubMed  Google Scholar 

  21. Dheda K, Gumbo T, Gandhi NR, Murray M, Theron G, Udwadia Z, Migliori GB, Warren R. Global control of tuberculosis: from extensively drug-resistant to untreatable tuberculosis. Lancet Respir Med. 2014;2(4):321–38. doi:10.1016/S2213-2600(14)70031-1.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Manual de recomendações para o controle da tuberculose no Brasil/Ministério da Saúde, Secretaria de Vigilância em Saúde, Departamento de Vigilância Epidemiológica. – Brasília : Ministério da Saúde, 2011. p. 284. http://bvsms.saude.gov.br/bvs/publicacoes/manual_recomendacoes_controle_tuberculose_brasil.pdf.

  23. Kent PT, Kubica GP. Public health mycobacteriology—a guide for the level III laboratory. PLoS One. 2010;5(8):e12082. doi: 10.1371/journal.pone.0012082. U.S. Government Printing Office, Washington, DC.

  24. Shin SS, Asencios L, Yagui M, Yale G, Suárez C, Bayona J, Bonilla C, Jave O, Contreras CC, Atwood S, Blaya JA, Ershova J, Cegielski JP. Impact of rapid drug susceptibility testing for tuberculosis: program experience in lima, Peru. Int J Tuberc Lung Dis. 2012;16(11):1538–43. doi:10.5588/ijtld.12.0071. Epub 2012 Sep 14.

    CAS  Article  PubMed  Google Scholar 

  25. Gler MT, Guilatco RS, Guray CV, Tupasi TE. Screening outcomes from patients with suspected multidrug-resistant tuberculosis: lessons learned in the Philippines. Int J Tuberc Lung Dis. 2012;16(10):1326–30. doi:10.5588/ijtld.12.0038. Epub 2012 Aug 3.

    CAS  Article  PubMed  Google Scholar 

  26. Joh JS, Lee CH, Lee JE, et al. The interval between initiation of anti-tuberculosis treatment in patients with culture-positive pulmonary tuberculosis and receipt of drug-susceptibility test results. J Korean Med Sci. 2007;22:26–9.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Smith SE, Kurbatova EV, Cavanaugh JS, Cegielski JP. Global isoniazid resistance patterns in rifampin-resistant and rifampin susceptible tuberculosis. Int J Tuberc Lung Dis. 2012;16:203–5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  28. Martínez D, Heudebert G, Seas C, Henostroza G, Rodriguez M, Zamudio C, Centor RM, Herrera C, Gotuzzo E, Estrada C. Clinical prediction rule for stratifying risk of pulmonary multidrug-resistant tuberculosis. PLoS One. 2010;5(8):e12082. doi:10.1371/journal.pone.0012082.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kurbatova EV, Gammino VM, Bayona J, Becerra MC, Danilovitz M, Falzon D, Gelmanova I, Keshavjee S, Leimane V, Mitnick CD, Quelapio MI, Riekstina V, Taylor A, Viiklepp P, Zignol M, Cegielski JP. Predictors of sputum culture conversion among patients treated for multidrug-resistant tuberculosis. Int J Tuberc Lung Dis. 2012;16(10):1335–43. doi:10.5588/ijtld.11.0811.

    CAS  Article  PubMed  Google Scholar 

  30. Qazi F, Khan U, Khowaja S, Javaid M, Ahmed A, Salahuddin N, Hussain H, Becerra MC, Golub JE, Khan AJ. Predictors of delayed culture conversion in patients treated for multidrug-resistant tuberculosis in Pakistan. Int J Tuberc Lung Dis. 2011;15(11):1556–1559, i. doi:10.5588/ijtld.10.0679.

    CAS  Article  PubMed  Google Scholar 

  31. Mayfield DG, McLead G, Hall P. The GAGE questionnaire validation of a new. Alcoholism screening instrument. Am J Psychiatry. 1974;131:1121e3.

    Google Scholar 

  32. Ruddy M, Balabanova Y, Graham C, Fedorin I, Malomanova N, et al. Rates of drug resistance and risk factor analysis in civilian and prison patients with tuberculosis in Samara region, Russia. Thorax. 2005;60:130–5.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  33. Granich RM, Oh P, Lewis B, Porco TC, Flood J. Multidrug resistance among persons with tuberculosis in California, 1994–2003. JAMA. 2005;293:2732–9.

    CAS  Article  PubMed  Google Scholar 

  34. Magee MJ, Kempker RR, Kipiani M, Gandhi NR, Darchia L, Tukvadze N, Howards PP, Narayan KM, Blumberg HM. Diabetes mellitus is associated with cavities, smear grade, and multidrug-resistant tuberculosis in Georgia. Int J Tuberc Lung Dis. 2015;19(6):685–92. doi:10.5588/ijtld.14.0811.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  35. Toczek A, Cox H, du Cros P, Cooke G, Ford N. Strategies for reducing treatment default in drug-resistant tuberculosis: systematic review and meta-analysis. Int J Tuberc Lung Dis. 2013;17(3):299-307. doi: 10.5588/ijtld.12.0537. Epub 2012 Dec 4. Review.

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Acknowledgments

The authors would like to thank the study participants.

Authors’ contribution

Conceived and designed the study: AD, PPJP, IL, PIF, SBS, MMO and ALK. Performed the experiments: DMPR, PFCM, MKA, TB, MPD, EM, CFD, ANG. Analyzed the data: DMPR, JUB and ALK. Wrote the paper: DMPR, AD, PPJP, IL, PIF, SBS, MMO and ALK. All authors read and approved the final manuscript.

Funding

This research was supported by the United States Agency for International Development (USAID) Cooperative Agreement (TREAT TB Agreement No. GHN‐A‐00‐08‐00004‐00) and CNPq/INCT 573548/2008-0. ALK is recipient of a career award from CNPq (produtividade em pesquisa) and FAPERJ (Cientistas do Nosso Estado). The funders had no role in study design, data collection and analysis, the decision to publish, or the preparation of the manuscript.

Availability of data and materials

Restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Data are, however, available from the authors upon reasonable request.

Author information

Authors and Affiliations

  1. Tuberculosis Academic Program, Medical School and Hospital Complex HUCFF-IDT, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    D. M. P. Ramalho, P. F. C. Miranda, M. K. Andrade, M. M. Oliveira & A. L. Kritski

  2. Helio Fraga Reference Center – ENSP –Fiocruz, Rio de Janeiro, Brazil

    M. K. Andrade, M. P. Dalcolmo & J. Ueleres Braga

  3. Messejana Hospital –State Secretary of Health, Fortaleza, Ceará, Brazil

    T. Brígido

  4. Ary Parreiras Institute – State Secretary of Health, Rio de Janeiro, Brazil

    E. Mesquita

  5. Sanatório Partenon Hospital - State Secretary of Health, Porto Alegre, Rio Grande do Sul, Brazil

    C. F. Dias

  6. Clemente Ferreira Institute - State Secretary of Health, Sao Paulo, Brazil

    A. N. Gambirasio

  7. International Union Against Tuberculosis and Lung Disease, Paris, France

    A. Detjen & P. I. Fujiwara

  8. Liverpool School of Tropical Medicine, Liverpool, UK

    I. Langley & S. B. Squire

  9. MRC Clinical Trials Unit, London, UK

    P. P. J. Phillips

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  1. D. M. P. Ramalho
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  16. A. L. Kritski
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for Rede-TB Study group

Corresponding author

Correspondence to A. L. Kritski.

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Ethics approval and consent to participate

The protocol was approved by the National Research Ethics Committee (CONEP N° 520/2011; Register: 16,571 – Process: n° 25,000.115789/2011–94) and by the Ethics Advisory Group at The Union, number: 11/11. The protocol was also approved by each appropriate local Institutional Review Board and Ethics Committee.

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Ramalho, D.M.P., Miranda, P.F.C., Andrade, M.K. et al. Outcomes from patients with presumed drug resistant tuberculosis in five reference centers in Brazil. BMC Infect Dis 17, 571 (2017). https://doi.org/10.1186/s12879-017-2669-1

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  • DOI: https://doi.org/10.1186/s12879-017-2669-1

Keywords

  • Multi-drug resistant tuberculosis
  • Diagnosis
  • Treatment outcome

BMC Infectious Diseases

ISSN: 1471-2334

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