Literature DB >> 25693485

Multidrug-resistant tuberculosis in Europe, 2010-2011.

Gunar Günther, Frank van Leth, Sofia Alexandru, Neus Altet, Korkut Avsar, Didi Bang, Raisa Barbuta, Graham Bothamley, Ana Ciobanu, Valeriu Crudu, Manfred Davilovits, Martin Dedicoat, Raquel Duarte, Gina Gualano, Heinke Kunst, Wiel de Lange, Vaira Leimane, Cecile Magis-Escurra, Anne-Marie McLaughlin, Inge Muylle, Veronika Polcová, Emanuele Pontali, Christina Popa, Rudolf Rumetshofer, Alena Skrahina, Varvara Solodovnikova, Victor Spinu, Simon Tiberi, Piret Viiklepp, Christoph Lange.   

Abstract

Drug-resistant Mycobacterium tuberculosis is challenging elimination of tuberculosis (TB). We evaluated risk factors for TB and levels of second-line drug resistance in M. tuberculosis in patients in Europe with multidrug-resistant (MDR) TB. A total of 380 patients with MDR TB and 376 patients with non-MDR TB were enrolled at 23 centers in 16 countries in Europe during 2010-2011. A total of 52.4% of MDR TB patients had never been treated for TB, which suggests primary transmission of MDR M. tuberculosis. At initiation of treatment for MDR TB, 59.7% of M. tuberculosis strains tested were resistant to pyrazinamide, 51.1% were resistant to ≥1 second-line drug, 26.6% were resistant to second-line injectable drugs, 17.6% were resistant to fluoroquinolones, and 6.8% were extensively drug resistant. Previous treatment for TB was the strongest risk factor for MDR TB. High levels of primary transmission and advanced resistance to second-line drugs characterize MDR TB cases in Europe.

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Year:  2015        PMID: 25693485      PMCID: PMC4344280          DOI: 10.3201/eid2103.141343

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Emergence of drug-resistant tuberculosis (TB) threatens the goal of TB elimination (). Multidrug-resistant (MDR) TB is defined by in vitro resistance of Mycobacterium tuberculosis to at least both of the 2 most effective drugs for treatment (rifampin and isoniazid). Extensively drug-resistant TB (XDR TB) is defined as MDR TB plus in vitro resistance to at least 1 second-line injectable drug (amikacin, capreomycin, or kanamycin) plus resistance to any of the fluoroquinolones (e.g., ofloxacin, levofloxacin, or moxifloxacin) (). In the World Health Organization (WHO) European Region, the estimated incidence of patients with MDR TB differs markedly: 1.6 cases/100,000 persons in the 29 European Union/European Economic Area countries and 16.8 cases/100,000 persons in the 24 other countries of the region in 2012 (Technical Appendix Table 1) (). The actual number of patients with MDR TB living in this region may be much higher because a substantial proportion of patients are never screened for drug-resistant TB before starting treatment, partly because of a lack of diagnostic capacity ().
Table 1

Baseline characteristics of patients with MDR TB in TBNET study in Europe, 2010–2011*

CharacteristicIncidence of TB
All sites
Low†Intermediate‡High§
Patients103 (27.1)86 (22.6)191 (50.3)380 (100)
Age, y31 (27–39)41 (26–49)37 (28–50)36 (27–47)
Body mass index20 (19–23)21 (18–22)21 (18–23)21 (19–23)
Male sex50 (48.5)56 (65.1)133 (69.6)239 (62.9)
Foreign born88 (85.4)5 (5.8)1 (0.5)94 (24.7)
Current smoker
Yes65 (63.1)33 (38.4)94 (49.2)192 (50.5)
Unknown9 (8.7)2 (2.3)1 (0.5)13 (3.4)
HIV infected
Yes 8 (7.8)8 (9.3)9 (4.7)25 (6.6)
Not tested8 (7.8)01 (0.5)9 (2.4)
Unknown001 (0.5)1 (0.3)
Diabetes
Yes3 (2.9)4 (4.7)9 (4.7)16 (4.2)
Unknown5 (4.9)2 (2.3)1 (0.5)8 (2.1)
TB contact
No49 (47.6)39 (45.3)68 (35.6)156 (41.1)
Yes, no MDR case1 (1.0)16 (18.6)23 (12.0)54 (14.2)
Yes, MDR case15 (14.6)2 (2.3)5 (2.6)8 (2.1)
Unknown38 (36.9)29 (33.7)95 (49.7)162 (42.6)
TB treatment
Yes42 (40.8)23 (26.7)116 (60.7)181 (47.6)
Unknown3 (2.9)003 (0.8)
Classification of current TB episode
New61 (59.2)64 (74.4)74 (38.7)199 (52.4)
Relapse23 (22.3)20 (23.3)48 (25.1)91 (23.9)
Treatment failure8 (7.8)2 (2.3)37 (19.4)47 (12.4)
Chronic1 (1.0)014 (7.3)15 (3.9)
Returned defaulter9 (8.7)018 (9.4)27 (7.1)
Unknown1 (1.0)001 (0.3)
Location of TB infection
Pulmonary74 (71.8)79 (91.9)191 (100.0)344 (90.5)
Extrapulmonary14 (13.6)2 (2.3)016 (4.2)
Pulmonary and extrapulmonary15 (14.6)5 (5.8)020 (5.3)
Radiologic findings
No pathologic changes8 (7.8)1 (1.2)1 (0.5)10 (2.6)
Cavitary40 (38.8)52 (60.5)147 (77.0)239 (62.9)
Noncavitary52 (50.5)33 (38.4)43 (22.5)128 (33.7)
Unknown3 (2.9)003 (0.8)
Bacteriologic result
Smear +, culture +64 (62.1)39 (45.3)142 (74.3)245 (64.5)
Smear –, culture +38 (36.9)45 (52.3)47 (24.6)130 (34.2)
Unknown1 (1.0)001 (0.3)
Age, y
<183 (2.9)06 (3.1)9 (2.4)
18–2417 (16.5)14 (16.3)25 (13.1)56 (14.7)
25–4468 (66.0)34 (39.5)91 (47.6)193 (50.8)
45–6412 (11.7)28 (32.6)62 (32.5)102 (26.8)
≥653 (2.9)2 (2.3)2 (1.0)7 (1.8)
Unknown08 (9.3)5 (2.6)13 (3.4)
Currently employed
Yes46 (44.7)35 (40.7)63 (33.3)144 (37.9)
Unknown7 (6.8)6 (7.0)1 (0.5)14 (3.7)
Work in a high-risk setting for TB
Yes8 (7.8)6 (7.0)9 (4.7)23 (6.1)
Unknown16 (15.5)12 (14.0)107 (56.0)135 (35.5)
Excessive alcohol consumption
Yes11 (10.7)20 (23.3)48 (25.1)79 (20.8)
Unknown10 (9.7)1 (1.2)1 (0.5)12 (3.2)
Imprisonment before current diagnosis
Yes4 (3.9)8 (9.3)18 (9.4)30 (7.9)
Unknown12 (11.7)1 (1.2)1 (0.5)14 (3.7)
Current homelessness
Yes9 (8.7)2 (2.3)5 (2.6)16 (4.2)
Unknown2 (1.9)2 (2.3)1 (0.5)5 (1.3)
Injectable drug use
Yes7 (6.8)7 (8.1)10 (5.2)24 (6.3)
Unknown12 (11.7)2 (2.3)15 (7.9)29 (7.6)
Hepatitis B
Yes14 (13.6)2 (2.3)1 (0.5)17 (4.5)
Unknown20 (19.4)5 (5.8)78 (40.8)103 (27.1)
Hepatitis C
Yes12 (11.7)5 (5.8)2 (1.0)19 (5.0)
Unknown22 (21.4)22 (25.6)81 (42.4)125 (32.9)
Use of TNF inhibitor
Yes1 (1.0)0 4 (2.1)5 (1.3)
Unknown7 (6.8)5 (5.8)42 (22.0)54 (14.2)
Silicosis
Yes01 (1.2)01 (0.3)
Unknown3 (2.9)1 (1.2)1 (1.1)5 (1.3)
Vaccination with Mycobacterium bovis BCG
Yes42 (40.8)72 (83.7)184 (96.3)300 (78.5)
Unknown58 (56.3)14 (16.3)6 (3.1)78 (20.4)

*Values are no. (%) or median (interquartile range). Unweighted analysis was used. MDR TB, multidrug-resistant tuberculosis; +, positive; –, negative;TNF, tumor necrosis factor.
†Austria, Belgium, Czech Republic, Denmark, Germany, Great Britain, Ireland, Netherlands, Italy, and Spain.
‡Belarus, Estonia, Latvia, and Portugal.
§Moldova and Romania.

*Values are no. (%) or median (interquartile range). Unweighted analysis was used. MDR TB, multidrug-resistant tuberculosis; +, positive; –, negative;TNF, tumor necrosis factor.
†Austria, Belgium, Czech Republic, Denmark, Germany, Great Britain, Ireland, Netherlands, Italy, and Spain.
‡Belarus, Estonia, Latvia, and Portugal.
§Moldova and Romania. MDR TB is associated with poor treatment outcomes (,,). The proportion of treatment success in patients with MDR TB was only 54% in an individual patient data metaanalysis of >9,000 patients from 32 observational studies (). Results from this cohort showed that additional resistance to fluoroquinolones in patients with MDR TB reduced treatment success to 48%; patients with XDR TB were treated successfully in 40% of cases (), which approached treatment outcomes similar to those of the pre–antimicrobial drug era (). A recent surveillance report from the EU reported 32.2% treatment success for MDR TB and 19.1% treatment success for XDR TB (). Detailed information about characteristics, management, and outcomes of patients with MDR TB in Europe is scarce but essential to inform health policy makers and optimize disease management (). We compared baseline characteristics and risk factors for patients with MDR TB, as well as availability and results of drug susceptibility testing (DST) for second-line drugs for treatment of TB, in a cohort of patients from 16 countries in Europe with low, intermediate, and high incidence of TB, who had started first-line or second-line TB treatment.

Methods

Participating Sites

TBNET is a European consortium for clinical research in the field of TB (). This study was conducted at 23 TBNET sites in 16 countries in Europe: 2 with a high (>100 cases/100,000 persons) incidence of TB, 4 with an intermediate (20–100 cases/100,000 persons) incidence, and 10 with a low (<20 cases/100,000 persons) incidence (Figure). Stratification was based on WHO/European Centre for Disease Prevention and Control estimates of TB incidence during the study period (2010–2011) (). The number of study participants per country is shown in Technical Appendix Table 1.
Figure

TBNET study sites in the Pan European network for study and clinical management of drug-resistant tuberculosis (TBPAN-NET) project. Stratification is based on the incidence of tuberculosis (TB) reported during 2010–2011, which matched the inclusion period of the study. Data for 2011 were obtained from the European Centre for Disease Control and Prevention (). Low TB incidence, <20 cases/100,000 persons; intermediate TB incidence, 20–100 cases/100,000 persons; high TB incidence, >100 cases/100,000 persons.

TBNET study sites in the Pan European network for study and clinical management of drug-resistant tuberculosis (TBPAN-NET) project. Stratification is based on the incidence of tuberculosis (TB) reported during 2010–2011, which matched the inclusion period of the study. Data for 2011 were obtained from the European Centre for Disease Control and Prevention (). Low TB incidence, <20 cases/100,000 persons; intermediate TB incidence, 20–100 cases/100,000 persons; high TB incidence, >100 cases/100,000 persons.

Study Population

After informed consent was obtained, patients starting treatment for a new episode of culture-confirmed TB with resistance to at least rifampin and isoniazid (MDR TB cohort) were eligible for enrollment. Patients were included prospectively by using consecutive inclusion during January 2010–December 2011 at each site. In Belarus, Latvia, Moldova, and Romania, additional enrollment was stopped when a preagreed number of patients were enrolled to avoid overrepresentation of patients from these countries in the cohort. For each MDR TB patient, 1 patient with non–MDR TB (pan drug–susceptible, monoresistant, or polydrug-resistant TB []) was enrolled at each center at the time of enrollment of the MDR TB patient: these additional patients were denoted as controls. Controls were selected on the basis of DST results that identified non–MDR TB, and that were obtained at the closest date before enrollment of an MDR TB patient at the same site. Because of this selection process, a limited number of patients (41, 5.4%) started treatment before the study began in January 2010, but none started treatment before January 2007. However, we maintained consecutive inclusion for MDR TB patients. This feature ensured an acceptable sample size for countries with a low incidence of TB during the inclusion period.

Data Collection

Data collection used an electronic case record form designed in Open Clinica (http://www.openclinica.com). A paper version of this form was used in Moldova, Romania, Estonia, and Belarus, where internet access was not always available. All investigators were initially trained onsite, and continuous training was ensured through annual investigator meetings, regular site visits, and newsletters.

Laboratory Testing

Routine data were obtained from local laboratory reports for sputum smear microscopy, sputum culture, and DST for first-line and second-line drugs and, when available, M. tuberculosis–specific nucleic acid amplification tests. All laboratories at study sites were subjected to quality control through the WHO Supranational Reference Laboratory Network.

Study Outcome

We analyzed characteristics of the cohort at the time of enrollment. We also assessed factors associated with MDR TB in a cross-sectional approach.

Data Management

Data management included regular data checks on key variables for missing data and inconsistencies. The study coordinator, a study monitor, and a trained study nurse performed routinely manual plausibility checks and clarified inconsistencies with the investigators.

Statistical Analysis

Descriptive statistics are reported as frequencies or medians, where appropriate. Risk factor analysis was performed by using univariable and multivariable logistic regression. We used robust SEs to adjust for clustering by country. All variables with <20% missing data were assessed for inclusion in the models. Missing data for included variables were coded as separate categories to prevent listwise deletion of observations. Age was dichotomized at 45 years to align with values in a previous study (). The variables age and sex were purposefully included in the multivariable analysis in which other variables were included on the basis of the Wald statistic (<0.1) and the change in the pseudo R2 (>10%) because a robust SE precludes formal use of the log-likelihood ratio test. In a sensitivity analysis, we repeated multivariable logistic regression with the inclusion of a sampling weight for the MDR TB patients (inverse of the sampling fraction with expected number of MDR TB patients in the country as denominator) (Technical Appendix Table 5). Non–MDR TB patients were given a weight of 1. The weighted analyses assessed the potential effect of unbalanced contribution of countries in the cohort. Goodness-of-fit was assessed by using the F-adjusted mean residual test. Drug resistance was expressed as the proportion of isolates tested and the proportion of isolates that were resistant. Corresponding frequencies when applying sampling weights and analysis by a complex survey approach (,) are shown in Technical Appendix Table 4.

Ethics

Patient information and consent forms were translated into local languages when needed. The study was approved by the Ethics Committee of the University of Lübeck (Lübeck, Germany). The study protocol was approved by the local ethics committee at all participating centers. Written informed consent was obtained from all patients according to site-specific regulations. Data were collected pseudonymously and stored on a secured server.

Results

Cohort Characteristics

The cohort consisted of 380 MDR TB patients and 376 non–MDR TB controls. Descriptive characteristics of the MDR TB cohort are shown in Table 1 and those for the non–MDR TB cohort in Technical Appendix Table 2. Both groups had predominantly male patients. The median age was 36 years (interquartile range 27–47 years) for the MDR TB patients and 41 years (interquartile range 31–54 years) for the controls. The proportion of foreign-born patients with MDR TB in countries of low, intermediate, and high TB incidence was 85.4%, 5.8% and 0.5%, respectively. Similar proportions were observed in controls (56.3%, 5.7% and 2.1%, respectively). Of 94 foreign-born patients, 60 (64%) were from countries of the European region of WHO, 17 (18%) from Russia, 18 (19%) from Southeast Asia, 11 (12%) from sub-Saharan Africa, 1 (1%) from North Africa, and 4 (4%) from South America. Smoking was common in both groups (50.5% for MDR TB patients and 41.5% for controls).
Table 2

Drug resistance profiles for first-line and second-line drugs used for treatment of multidrug-resistant tuberculosis in TBNET study in Europe, 2010–2011*

Drug†
Incidence of TB in region
All MDR TB patients, 
n = 380
Low, n = 103†

Intermediate n = 86‡

High n = 191§
Tested
Resistant
Tested
Resistant
Tested
Resistant
Tested
Resistant
First-line
Pyrazinamide97 (94.2)52 (53.6)70 (81.4)49 (71.0)10 (5.2)4 (40.0)177 (45.0)105 (59.7)
Ethambutol99 (96.1)50 (50.5)85 (98.9)55 (64.7)187 (97.9)115 (61.5)371 (97.6)220 (59.3)
Streptomycin
93 (90.3)
78 (83.9)

85 (98.9)
82 (96.5)

187 (97.9)
171 (91.4)
365 (96.1)
331 (90.7)
≥1 non–first line
101 (97.1)
66 (65.4)

86 (100)
64 (74.4)

173 (86.4)
64 (37.0)
360 (94.7)
194 (51.1)
Class II
Amikacin95 (92.2)17 (17.9)85 (98.8)25 (29.4)1 (0.5)0181 (47.6)42 (23.2)
Kanamycin39 (37.9)8 (20.5)79 (91.9)37 (46.8)170 (89.0)23 (13.5)288 (75.8)68 (23.6)
Capreomycin88 (85.4)15 (17.0)84 (97.7)26 (31.0)94 (49.2)4 (4.3)266 (71.1)45 (16.9)
≥1 second-line inj.
100 (97.1)
24 (24.0)

86 (100)
42 (48.8)

170 (89.0)
27 (15.9)
356 (93.7)
93 (26.1)
Class III
Ofloxacin69 (67.0)16 (23.2)86 (100)26 (30.2)169 (88.5)14 (8.3)324 (85.3)56 (17.3)
Levofloxacin16 (15.5)1 (6.2)7 (8.1)1 (14.3)10 (5.2)2 (20.0)32 (8.4)4 (12.5)
Moxiflocacin61 (59.2)14 (23.0)12 (14.0)3 (25.0)073 (19.2)17 (23.3)
≥1 fluoroquinolone
96 (96.2)
21 (21.9)

86 (100)
26 (30.2)

170 (89.0)
15 (8.8)
352 (92.6)
62 (17.6)
Class IV
ETO/PTO98 (95.1)47 (48.0)86 (100)36 (41.9)170 (89.0)36 (21.2)354 (93.2)119 (31.3)
PAS54 (52.4)10 (18.5)68 (79.1)10 (14.7)175 (91.6)2 (1.1)295 (77.6)22 (7.5)
DCS/TRD
53 (51.5)
6 (11.3)

69 (80.2)
13 (18.8)

100 (52.4)
5 (5.0)
220 (57.9)
23 (10.6)
Class V
Linezolid62 (60.2)2 (3.2)6 (7.0)01 (0.5)069 (18.2)2 (2.9)
Imipenem00000000
Meropenem1 (1.0)1 (100)00001 (0.3)1 (100)
AMX/CLV00000000
Clarithromycin17 (16.5)3 (17.7)000017 (4.5)3 (17.6)

*Values are no. (%) samples. Unweighted analysis was used. TB, tuberculosis; MDR TB, multidrug-resistant tuberculosis; inj, injectable; ETO/PTO, ethionamide/prothionamide; PAS, para-aminosalicylic acid; DCS/TRD, cycloserine/terizidone; AMX/CLV, amoxicillin/clavulanic acid.
†Austria, Belgium, Czech Republic, Denmark, Germany, Great Britain, Ireland, Netherlands, Italy, and Spain.
‡Belarus, Estonia, Latvia, and Portugal.
§Moldova and Romania.

*Values are no. (%) samples. Unweighted analysis was used. TB, tuberculosis; MDR TB, multidrug-resistant tuberculosis; inj, injectable; ETO/PTO, ethionamide/prothionamide; PAS, para-aminosalicylic acid; DCS/TRD, cycloserine/terizidone; AMX/CLV, amoxicillin/clavulanic acid.
†Austria, Belgium, Czech Republic, Denmark, Germany, Great Britain, Ireland, Netherlands, Italy, and Spain.
‡Belarus, Estonia, Latvia, and Portugal.
§Moldova and Romania. HIV infection and diabetes mellitus were infrequently observed: 6.6% in MDR TB patients and 4.3% in controls for HIV, and 4.2% in MDR TB patients and 5.3% in controls for diabetes mellitus. The percentage of patients with MDR TB whose episode of active TB was their first was 52.4% (59.2%, 74.4%, and 38.7% in countries with low, intermediate, and high TB incidence, respectively).

Drug Resistance Profiles

Among 380 patients with MDR TB, second-line M. tuberculosis DST profiles were available for 356 patients. Reasons for unavailable baseline DST results were 1) an initial diagnosis of MDR TB at a peripheral hospital and subsequent patient transfer to a central hospital where M. tuberculosis could not be grown in culture (n = 6); 2) contamination of cultures (n = 12); 3) insufficient growth in cultures (n = 4); 4) patient death between the first and second cultures (n = 1), and 5) unknown reason (n = 1). Among patients with MDR TB, 6.8% of cases fulfilled the definition of XDR TB. Drug resistance profiles for first-line and second-line drugs other than rifampin and isoniazid are shown in Table 2 for the MDR TB cohort, in Technical Appendix Table 3 for the MDR TB cohort compared with the non–MDR TB cohort, and in Technical Appendix Table 4 for the MDR TB cohort by weighted analysis.
Table 3

Risk factors for multidrug-resistant tuberculosis in patients in TBNET study in Europe, 2010–2011*

FactorNon–MDR TB, n = 376MDR TB, n = 380Univariable analyisis
Multivariable analysis
OR (95% CI)p valueOR (95% CI)p value
Sex
F1111411NA1NA
M2652390.71 (0.52–0.97)0.0310.78 (0.53–1.14)0.195
Age, y
<452122581.73 (1.16–2.58)0.0071.90 (1.23–2.93)0.004
≥451551091NA1NA
Unknown410NANANANA
Body mass index
<1831481.64 (0.94–2.85)0.082NANA
18–<252762611NANANA
≥2538491.36 (0.65–2.87)0.414NANA
Currently employed
Yes1441441NANANA
No2112221.03 (0.71–1.49)0.886NANA
Unknown1614NANANANA
Foreign born
Yes63941.63 (1.12–2.38)0.0111.52 (0.89–2.61)0.120
No3132861NA1NA
Imprisonment before current diagnosis
Yes15302.05 (0.75–5.66)0.1641.27 (0.82–1.97)0.280
No3453361NA1NA
Unknown1614NANANANA
Current homelessness
Yes21160.73 (0.43–1.24)0.248NANA
No3463591NANANA
Unknown95NANANANA
Injectable drug user
Yes13241.87 (0.92–3.83)0.0841.32 (0.54–3.21)0.541
No3323271NA1NA
Unknown3129NANANANA
HIV infected
Yes16251.57 (0.86–2.87)0.1461.78 (0.81–3.89)0.151
No3203451NA1NA
Not tested369NANANANA
Unknown41NANANANA
Diabetes
Yes20160.80 (0.32–1.98)0.622NANA
No3543561NANANA
Unknown28NANANANA
Previous TB treatment
Yes331339.49 (7.05–12.76)<0.00110.71 (7.33–15.63)<0.001
No3392441NA1NA
Unknown43NANANANA

*MDR TB, multidrug-resistant tuberculosis; OR, odds ratio; NA, not applicable.

*MDR TB, multidrug-resistant tuberculosis; OR, odds ratio; NA, not applicable. DST for pyrazinamide and ethambutol was performed for 45.0% (177/380) and 97.6% (371/380) of strains from MDR TB patients and controls, respectively. Testing was performed for 94.7% (360/380) of strains for resistance to any second-line drug, 93.7% (356/380) for any second-line injectable drug, 92.6% (352/380) for any fluoroquinolone, and 93.2% (356/380) for ethionamide/prothionamide. Strains from MDR TB patients showed additional resistance to pyrazinamide (59.7%, 105/177), ethambutol (59.3%, 220/371), ≥1 second-line injectable drug (26.1%, 93/356), ≥1 fluoroquinolone (17.6%, 62/352), and ethionamide/prothionamide (31.3%, 119/354) (Table 2). The weighted analysis showed higher proportions of resistance to all drugs, except capreomycin, moxifloxacin, and ethionamide/prothionamide (Technical Appendix Table 4).

Risk Factors for MDR TB

Risk factors for TB were compared between patients with MDR TB and controls. Previous treatment for TB (odds ratio 10.7, 95% CI 7.3–15.6) and age <45 years (OR 1.90, 95% CI 1.23–2.93) were identified as independent risk factors for MDR TB by multivariable analysis (Table 3). There was also a moderate association for sex and current homelessness with MDR TB by weighted analysis (Technical Appendix Table 5). No association was found between MDR TB and abnormal body mass index (<18 or >25), employment status, birth in a foreign country, history of imprisonment, injectable drug use, co-infection with HIV, or diabetes. The role of TB contact was not evaluated because data were not sufficiently robust because of a high percentage of unknown/unreliable results for self-reporting. Weighted analyses showed similar results with only minor differences in effect size.

Discussion

We studied a multicenter cohort of patients with MDR TB at 23 referral centers across Europe and found high rates of drug resistance to second-line drugs for treatment of TB in circulating M. tuberculosis strains, and limited availability of second-line drug resistance testing in several countries with a high incidence of TB. Furthermore, we found evidence of ongoing transmission of MDR strains of M. tuberculosis in eastern Europe: 52.4% of patients with MDR TB were experiencing their first episode of TB. In countries in western Europe with a low incidence of TB, MDR TB is predominantly a disease of immigrants (), which reflects the epidemiology of MDR TB in the country of origin. Only a few (8.9%) MDR TB patients were born outside the European region of WHO. Thus, interventions for the control of MDR TB should be specific for countries with high incidence of MDR TB, especially in eastern Europe (). Mathematical and epidemiologic models indicate that early diagnosis, effective treatment, and improved access to laboratory infrastructure could have a strong effect on the incidence of MDR TB in high-prevalence regions (). However, few of such programmatic requirements are met at many sites in Europe at the present time (). Possible active transmission of strains causing MDR TB, as reflected by the large proportion of patients never having received TB treatment before in this European cohort, is consistent with recently reported data and deserves attention. A drug resistance survey conducted in Belarus in 2011 showed that 32.3% of new TB infections and 75.6% of previously treated TB infections had an MDR strain of M. tuberculosis (). In Moldova, for which adequate surveillance data are available, 23.7% of new TB cases involve an MDR strain (). A recent report of surveillance data in countries with >700 estimated MDR TB cases per year indicated that more than half of the reported pulmonary MDR TB cases were new cases (). More than 90% of strains from MDR TB patients had undergone DST for ≥1 second-line injectable drug and fluoroquinolone. The role of ethambutol and pyrazinamide for treatment of MDR TB is unclear. In our cohort, 97.6% and 45.0% of MDR TB strains were tested for resistance to ethambutol and pyrazinamide, respectively. In countries with a high incidence of TB, only 5.2% of MDR TB cases were tested for pyrazinamide resistance because of limited availability of liquid culture methods and special pH media requirements for pyrazinamide DST. Less than half of the strains tested were susceptible to these drugs. Currently, the mechanism of action of pyrazinamide in combination therapy and the relevance of in vitro DST for pyrazinamide are uncertain. Findings from this study raise questions about a universal recommendation to treat MDR TB with pyrazinamide throughout the entire course of treatment (). In our study cohort, 1 of 3 M. tuberculosis strains with resistance to at least rifampin and isoniazid were also resistant to protionamide/ethionamide, 1 of 4 were resistant to any second-line injectable drug, and 1 of 5 were resistant to a fluoroquinolone. Of all MDR TB cases, 6.8% fulfilled the definition of XDR TB. Surveillance data from the European Centre for Disease Prevention and Control indicated that 9.1% of cases of XDR TB in patients with MDR TB underwent second-line DST. Given the high proportion of strains that received a second-line DST, it is unlikely that these percentages are overstated because of preferred testing of patients at high risk for acquiring TB. Our results are consistent with those from the Preserving Effective TB Treatment Study (PETTS) (), which investigated second-line drug resistance in strains from 1,278 patients in 8 countries, including Latvia and Estonia, which were countries with study sites in this cohort. The main difference between PETTS study and ours was a high frequency of M. tuberculosis resistance to prothionamide/ethionamide in our cohort, which reflected the relatively higher frequency of treatment with this drug combination in eastern Europe than in other parts of the world (). Recently published data from the PETTS study showed an increased risk of acquiring resistance to second-line drugs during treatment and increased baseline resistance (). Increased resistance to second-line drugs is associated with higher proportions of treatment failures (). It can be assumed, if one considers the findings from the PETTS study, that many of the patients in our cohort are at high risk for treatment failure. Of particular concern is resistance to fluoroquinolones because these drugs are the core of new treatment regimens (,), including regimens for patients with drug-susceptible strains of M. tuberculosis (). In our study, the capacity to perform DST for later-generation fluoroquinolones (levofloxacin and moxifloxacin) was only present for 19.2% of strains for levofloxacin and 8.4% of strains for moxifloxacin. Later generations of fluoroquinolones may still be effective for treatment of MDR TB in some patients when drug resistance to ofloxacin is documented (). The capacity to perform DST for later generations of fluoroquinolones needs to be improved in the region. Multivariable analysis showed that previous TB treatment and patient age <45 years showed an association with MDR TB (male sex and current homelessness showed an association in a weighted model). However, none of the other traditional risk factors for drug-resistant TB, such as HIV infection or birth in a foreign country (), showed this association. Although previous treatment for TB and contact with persons infected with drug-resistant strains have been reported as strong risk factors for MDR TB, the role of HIV infection, young age, sex, and previous imprisonment are less clear (,). The high proportion of new cases and the lack of association of other traditional risk factors with drug-resistant TB suggest an increased role of ongoing transmission in the community outside established risk groups for becoming infected with drug-resistant strains of M. tuberculosis (,,). Our study has several major limitations. First, baseline data were obtained from an observational cohort study and were not derived from routine surveillance. Only 14 of 28 countries from the European Union and 2 countries outside the European Union were represented in the study. Site selection was based on voluntary participation in the study and being a center for the management of MDR TB. Because a high number of patients in Europe are being treated outside such centers, the generalizability of data might be limited. However, the included centers adhered to national policies regarding diagnosis and treatment of MDR TB patients and therefore reflect current practice. To provide a better estimation of representativeness of data for the situation in Europe, we additionally performed weighted analyses based on the sampling fraction and the expected number of reported MDR TB patients in the countries from which patients were recruited (online Technical Appendix). Results suggest that frequencies of drug resistance to second-line drugs might be underestimated by our analysis. Second, some data collected were self-reported by patients and are prone to information bias. This limitation particularly applies to information on previous TB treatment in foreign-born patients, who might fear stigmatization in the country where treatment was provided. Third, DST was performed at laboratories that used external quality control practices. However, quality control for testing of second-line drugs varies among sites and respective laboratories (). Incompleteness of DST data for second-line drugs demonstrates the situation with which clinicians are confronted in making their management decisions and shows the need for scale up in laboratory testing, even in MDR TB reference centers in Europe. Despite these limitations, our study identified 3 major concerns regarding TB in Europe. First, transmission of MDR strains of M. tuberculosis is ongoing. Second, diagnostic capacity is poor, especially for DST. Third, levels of resistance to second-line TB drugs are high. These factors must be addressed in any TB surveillance and control programs that are implemented. Technical Appendix. Additional information for TBNET study of multidrug-resistant tuberculosis in Europe, 2010–2011.
  22 in total

1.  Moxifloxacin for tuberculosis.

Authors:  Kasha Priya Singh; Michael Brown; Michael E Murphy; Stephen H Gillespie
Journal:  Lancet Infect Dis       Date:  2012-03       Impact factor: 25.071

2.  Short, highly effective, and inexpensive standardized treatment of multidrug-resistant tuberculosis.

Authors:  Armand Van Deun; Aung Kya Jai Maug; Md Abdul Hamid Salim; Pankaj Kumar Das; Mihir Ranjan Sarker; Paul Daru; Hans L Rieder
Journal:  Am J Respir Crit Care Med       Date:  2010-05-04       Impact factor: 21.405

3.  Potential of rapid diagnosis for controlling drug-susceptible and drug-resistant tuberculosis in communities where Mycobacterium tuberculosis infections are highly prevalent.

Authors:  Pieter W Uys; Robin Warren; Paul D van Helden; Megan Murray; Thomas C Victor
Journal:  J Clin Microbiol       Date:  2009-03-18       Impact factor: 5.948

4.  Illustration of analysis taking into account complex survey considerations: the association between wine consumption and dementia in the PAQUID study. Personnes Ages Quid.

Authors:  S Lemeshow; L Letenneur; J F Dartigues; S Lafont; J M Orgogozo; D Commenges
Journal:  Am J Epidemiol       Date:  1998-08-01       Impact factor: 4.897

5.  [Results in pulmonary tuberculosis patients under various treatment program conditions].

Authors:  S Grzybowski; D Enarson
Journal:  Bull Int Union Tuberc       Date:  1978-06

6.  National survey of drug-resistant tuberculosis in China.

Authors:  Yanlin Zhao; Shaofa Xu; Lixia Wang; Daniel P Chin; Shengfen Wang; Guanglu Jiang; Hui Xia; Yang Zhou; Qiang Li; Xichao Ou; Yu Pang; Yuanyuan Song; Bing Zhao; Hongtao Zhang; Guangxue He; Jing Guo; Yu Wang
Journal:  N Engl J Med       Date:  2012-06-07       Impact factor: 91.245

7.  Drug resistance among tuberculosis cases in the European Union and European Economic Area, 2007 to 2012.

Authors:  M J van der Werf; C Ködmön; V Hollo; A Sandgren; P Zucs
Journal:  Euro Surveill       Date:  2014-03-13

8.  Multidrug resistance in new tuberculosis patients: burden and implications.

Authors:  S Royce; D Falzon; C van Weezenbeek; M Dara; K Hyder; P Hopewell; M D Richardson; M Zignol
Journal:  Int J Tuberc Lung Dis       Date:  2013-04       Impact factor: 2.373

9.  Extensive drug resistance acquired during treatment of multidrug-resistant tuberculosis.

Authors:  J Peter Cegielski; Tracy Dalton; Martin Yagui; Wanpen Wattanaamornkiet; Grigory V Volchenkov; Laura E Via; Martie Van Der Walt; Thelma Tupasi; Sarah E Smith; Ronel Odendaal; Vaira Leimane; Charlotte Kvasnovsky; Tatiana Kuznetsova; Ekaterina Kurbatova; Tiina Kummik; Liga Kuksa; Kai Kliiman; Elena V Kiryanova; HeeJin Kim; Chang-ki Kim; Boris Y Kazennyy; Ruwen Jou; Wei-Lun Huang; Julia Ershova; Vladislav V Erokhin; Lois Diem; Carmen Contreras; Sang Nae Cho; Larisa N Chernousova; Michael P Chen; Janice Campos Caoili; Jaime Bayona; Somsak Akksilp
Journal:  Clin Infect Dis       Date:  2014-07-23       Impact factor: 9.079

10.  Multidrug-resistant tuberculosis in Belarus: the size of the problem and associated risk factors.

Authors:  Alena Skrahina; Henadz Hurevich; Aksana Zalutskaya; Evgeni Sahalchyk; Andrei Astrauko; Sven Hoffner; Valiantsin Rusovich; Andrei Dadu; Pierpaolo de Colombani; Masoud Dara; Wayne van Gemert; Matteo Zignol
Journal:  Bull World Health Organ       Date:  2012-11-26       Impact factor: 9.408

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  22 in total

1.  Genotypic Analysis of Genes Associated with Independent Resistance and Cross-Resistance to Isoniazid and Ethionamide in Mycobacterium tuberculosis Clinical Isolates.

Authors:  Johana Rueda; Teresa Realpe; Gloria Isabel Mejia; Elsa Zapata; Juan Carlos Rozo; Beatriz Eugenia Ferro; Jaime Robledo
Journal:  Antimicrob Agents Chemother       Date:  2015-09-14       Impact factor: 5.191

2.  Identification of Risk Factors of Multidrug-Resistant Tuberculosis by using Classification Tree Method.

Authors:  Dixin Tan; Bin Wang; Xuhui Li; Xiaonan Cai; Dandan Zhang; Mengyu Li; Cong Tang; Yaqiong Yan; Songlin Yu; Qian Chu; Yihua Xu
Journal:  Am J Trop Med Hyg       Date:  2017-09-21       Impact factor: 2.345

3.  Linezolid for drug-resistant pulmonary tuberculosis.

Authors:  Bhagteshwar Singh; Derek Cocker; Hannah Ryan; Derek J Sloan
Journal:  Cochrane Database Syst Rev       Date:  2019-03-20

4.  Epidemiological Trends of Drug-Resistant Tuberculosis in China From 2007 to 2014: A Retrospective Study.

Authors:  Xiao-chun He; Xian-xin Zhang; Jiang-nan Zhao; Yao Liu; Chun-bao Yu; Guo-ru Yang; Huai-chen Li
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

5.  What Is Resistance? Impact of Phenotypic versus Molecular Drug Resistance Testing on Therapy for Multi- and Extensively Drug-Resistant Tuberculosis.

Authors:  Jan Heyckendorf; Sönke Andres; Claudio U Köser; Ioana D Olaru; Thomas Schön; Erik Sturegård; Patrick Beckert; Viola Schleusener; Thomas A Kohl; Doris Hillemann; Danesh Moradigaravand; Julian Parkhill; Sharon J Peacock; Stefan Niemann; Christoph Lange; Matthias Merker
Journal:  Antimicrob Agents Chemother       Date:  2018-01-25       Impact factor: 5.191

6.  Risk factors associated with multidrug-resistant tuberculosis in Espírito Santo, Brazil.

Authors:  Geisa Fregona; Lorrayne Belique Cosme; Cláudia Maria Marques Moreira; José Luis Bussular; Valdério do Valle Dettoni; Margareth Pretti Dalcolmo; Eliana Zandonade; Ethel Leonor Noia Maciel
Journal:  Rev Saude Publica       Date:  2017-04-27       Impact factor: 2.106

7.  Risk Factors for Multidrug-Resistant Tuberculosis among Patients with Pulmonary Tuberculosis at the Central Chest Institute of Thailand.

Authors:  Charoen Chuchottaworn; Vipa Thanachartwet; Piamlarp Sangsayunh; Thu Zar Myint Than; Duangjai Sahassananda; Manoon Surabotsophon; Varunee Desakorn
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

8.  Multidrug-Resistant Tuberculosis in Patients with Chronic Obstructive Pulmonary Disease in China.

Authors:  Jiang-Nan Zhao; Xian-Xin Zhang; Xiao-Chun He; Guo-Ru Yang; Xiao-Qi Zhang; Wen-Gen Xin; Huai-Chen Li
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

Review 9.  Emerging strategies for the treatment of pulmonary tuberculosis: promise and limitations?

Authors:  Wing Wai Yew; Won-Jung Koh
Journal:  Korean J Intern Med       Date:  2015-12-28       Impact factor: 2.884

10.  Risk factors for multidrug-resistant tuberculosis among tuberculosis patients in Serbia: a case-control study.

Authors:  Maja Stosic; Dejana Vukovic; Dragan Babic; Gordana Antonijevic; Kristie L Foley; Isidora Vujcic; Sandra Sipetic Grujicic
Journal:  BMC Public Health       Date:  2018-09-12       Impact factor: 3.295

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