Trend of multidrug and fluoroquinolone resistance in <i>Mycobacterium tuberculosis</i> isolates from 2010 to 2014 in Korea: a multicenter study

Hyeonseok Kim; Jeong Ha Mok; Bohyoung Kang; Taehoon Lee; Hyun-Kyung Lee; Hang Jea Jang; Yu Ji Cho; Doosoo Jeon

doi:10.3904/kjim.2018.052

Korean J Intern Med > Volume 34(2); 2019 > Article

Kim, Mok, Kang, Lee, Lee, Jang, Cho, and Jeon: Trend of multidrug and fluoroquinolone resistance in Mycobacterium tuberculosis isolates from 2010 to 2014 in Korea: a multicenter study

Original Article

Pulmonology

Korean J Intern Med 2019;34(2):344-352.

Published online: July 27, 2018

DOI: https://doi.org/10.3904/kjim.2018.052

Trend of multidrug and fluoroquinolone resistance in Mycobacterium tuberculosis isolates from 2010 to 2014 in Korea: a multicenter study

Hyeonseok Kim¹, Jeong Ha Mok², Bohyoung Kang³, Taehoon Lee⁴, Hyun-Kyung Lee⁵, Hang Jea Jang⁶, Yu Ji Cho⁷, Doosoo Jeon¹

¹Department of Internal Medicine, Pusan National University Yangsan Hospital, Yangsan, Korea

²Department of Internal Medicine, Pusan National University Hospital, Busan, Korea

³Department of Internal Medicine, Dong-A University Hospital, Busan, Korea

⁴Department of Internal Medicine, Ulsan University Hospital, Ulsan, Korea

⁵Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea

⁶Department of Internal Medicine, Inje University Haeundae Paik Hospital, Busan, Korea

⁷Department of Internal Medicine, Gyeongsang National University Hospital, Jinju, Korea

Correspondence to Doosoo Jeon, M.D. Department of Internal Medicine, Pusan National University Yangsan Hospital, 20 Geumo-ro, Mulgeum-eup, Yangsan 50612, Korea Tel: +82-55-360-1414 Fax: +82-55-360-1759 E-mail: sooli10@hanmail.net

Received February 6, 2018 Revised March 2, 2018 Accepted March 14, 2018

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

See editorial "Fluoroquinolone resistance in multidrug-resistant tuberculosis patients" on page 286.

Abstract

Background/Aims

This study was conducted to evaluate the recent prevalence and trend of anti-tuberculosis (TB) drug resistance with a focus on multidrug-resistance (MDR) and fluoroquinolone resistance in South Korea.

Methods

We retrospectively reviewed the drug susceptibility testing results of culture-confirmed Mycobacterium tuberculosis isolates collected from 2010 to 2014 at seven tertiary hospitals in South Korea.

Results

A total of 5,599 cases were included: 4,927 (88.0%) were new cases and 672 (12.0%) were previously treated cases. The MDR rate has significantly decreased from 6.0% in 2010 to 3.0% in 2014 among new cases, and from 28.6% in 2010 to 18.4% in 2014 among previously treated cases (p < 0.001 and p = 0.027, respectively). The resistance rate to any fluoroquinolone was 0.8% (43/5,221) in non-MDR-TB patients, as compared to 26.2% (99/378) in MDR-TB patients (p < 0.001). There was no significant change in the trend of fluoroquinolone resistance among both nonMDR-TB and MDR-TB patients. Among the 43 non-MDR-TB patients with fluoroquinolone resistance, 38 (88.4%) had fluoroquinolone mono-resistant isolates.

Conclusions

The prevalence of MDR-TB has significantly decreased from 2010 to 2014. The prevalence of fluoroquinolone resistance among non-MDR-TB patients was low, but the existence of fluoroquinolone mono-resistant TB may be a warning on the widespread use of fluoroquinolone in the community.

Keywords: Drug resistance; Tuberculosis; Tuberculosis, multidrug-resistant; Fluoroquinolones; Korea

INTRODUCTION

Drug-resistant tuberculosis (TB) is developed and subsequently amplified under poor TB control programs, such as inadequate treatment, patient care, and infection control [1]. Therefore, data on the prevalence and trends of anti-TB drug resistance can provide key information on understanding TB situation as well as determining the effectiveness of TB control programs in a country.

In South Korea, nationwide drug surveillance had been conducted on four occasions between 1994 and 2004, which was a representative sample survey of patients in public health centers [2]. These surveys showed that multidrug-resistance (MDR) rate in new cases had been gradually increasing from 1.6% in 1994 to 2.2% in 1999, 2.4% in 2003, and 2.7% in 2004, respectively [2]. Thereafter, the nationwide trend of anti-TB drug resistance could not be estimated because this survey was stopped and replaced with a new TB notification system. In the 2000s, attempts to estimate the number and trend of MDR-TB patients were made by collecting the data from seven institutions that performed most drug susceptibility testing (DST) in Korea [3,4]. Despite the progress in TB control since the 2010s, there has been little data demonstrating how these changes have influenced the trend of drug resistance in South Korea.

Fluoroquinolones (FQs) are the backbone of MDRTB treatment regimens and FQ resistance is associated with poor treatment outcomes [5-7]. Recently, a survey on FQ resistance has been highlighted because it is crucial to determine the feasibility of introducing a standardized shorter MDR-TB regimen in a country [8,9]. Globally, the data on the prevalence of FQ resistance at the population level are limited, because testing for FQ resistance is not routinely performed in most TB endemic areas. In contrast, universal DST has been recommended to all TB patients from the 2005 Korean guidelines [10]. DST examines 15 tested drugs including three FQs (ofloxacin, levofloxacin, and moxifloxacin). However, there have been little data on the prevalence and trend of FQ resistance in South Korea.

We recently reported high resistance rate to additional drugs among MDR-TB patients in seven university hospitals in South Korea [11]. We performed additional analysis in the same cohort to evaluate the recent prevalence and trend of anti-TB drug resistance focusing on MDR and FQ resistance.

METHODS

Study design and data collection

We included patients who were diagnosed with culture-confirmed TB and had results of DST between January 2010 and December 2014, at seven university-affiliated tertiary hospitals in Busan, Ulsan, and Gyeongsangnam-do in South Korea. We retrospectively reviewed the medical records of those patients, and the following data were collected: age, sex, history of previous TB treatment, type of specimen, and results of phenotypic DST. Previous TB treatment history was assessed by physicians through patient history taking. We excluded patients who had an unknown history of previous TB treatment and those who had duplicated in-hospital or inter-hospital records. If a patient had more than one DST result, the earlier result was selected. If the patient had DST results for both pulmonary and extra-pulmonary specimens, results for the pulmonary specimen were selected.

Drug susceptibility test

DST was performed on Mycobacterium tuberculosis (MTB) isolates, collected prior to treatment initiation or regimen change. For DST, six hospitals sent MTB isolates to the Korean Institute of Tuberculosis, and one hospital sent them to the Green Cross Reference Laboratory. The protocol used and critical concentration references for resistance were the same in both laboratories. The drug susceptibility was determined by the absolute concentration method using the Lowenstein-Jensen medium. The drugs and their critical concentrations for resistance were as follows: isoniazid 0.2 μg/mL, rifampin 40 μg/mL, ethambutol 2.0 μg/mL, rifabutin 20 μg/mL, streptomycin 10 μg/mL, amikacin 40 μg/mL, kanamycin 40 μg/mL, capreomycin 40 μg/mL, ofloxacin 2.0 μg/mL, levofloxacin 2.0 μg/mL, moxifloxacin 2.0 μg/mL, prothionamide 40 μg/mL, cycloserine 30 μg/mL, and para-aminosalicylic acid 1.0 μg/mL. Pyrazinamide susceptibility was determined using a pyrazinamidase test.

Definitions

Patients were classified based on their history of previous TB treatment. New patients were defined as those who had never been treated for TB or who had received treatment for < 1 month. Previously treated patients were defined as those who had received ≥ 1 month of anti-TB drugs in the past and were further classified according to the World Health Organization (WHO)’s definition as follows [12]: relapse patients were those who were declared cured or those who completed the treatment, and were diagnosed with a recurrent episode of TB; treatment after failure patients were those whose treatment failed and treatment after loss to follow-up patients were those who were declared lost to follow-up at the end of their most recent course of treatment.

Drug-resistant cases were classified based on the DST results as follows: any drug resistance was defined as resistance to any anti-TB drugs; MDR, as resistance to at least both isoniazid and rifampicin; extensive-drug resistance (XDR), as resistance to any FQ, and at least one of the three second-line injectable drugs (kanamycin, amikacin, and capreomycin) in addition to MDR; pre-XDR TB, as resistance to either a FQ or second line-injectable drugs but not both, in addition to MDR; and FQ mono-resistance, as resistance to any FQ but not to other drugs.

Statistical analysis

Data were presented as mean ± standard deviations for continuous variables and as numbers (with percentages) for categorical variables. Continuous variables were compared using the independent samples t test, and categorical variables were compared using the Pearson chi-square test or Fisher exact test, respectively. To evaluate the annual drug resistance trend, chi-square test for trend was performed. All tests were two-tailed, and p < 0.05 indicated statistical significance. Statistical analysis was performed using SPSS 17.0 version (SPSS Inc., Chicago, IL, USA).

Ethics statement

The present study protocol was reviewed and approved by the Institutional Review Board of Pusan National University Hospital (IRB approval number: E-2015117), and the requirement for obtaining informed consent was waived.

RESULTS

Patients’ characteristics

A total of 5,607 patients who were diagnosed with culture-confirmed TB and had DST results were screened. Among them, eight patients were excluded; four had unknown history of previous TB treatment and four were duplicated between hospitals. As a result, 5,599 patients were finally included. The demographics and characteristics of the total patients are shown in Table 1.

Trend in drug resistance rate

Among 4,927 new cases, the drug resistance pattern and trends from 2010 to 2014 are shown in Table 2. The resistance rate to any drug and isoniazid was 13.5% and 10.8%, respectively. MDR, pre-XDR, and XDR rates were 4.4%, 0.8%, and 0.4%, respectively. The MDR rate among new cases has significantly decreased from 6.0% in 2010 to 5.6% in 2011, 3.9% in 2012, 3.8% in 2013, and 3.0% in 2014 (p < 0.001). The annual resistance rate to any drug decreased from 15.4% in 2010 to 12.7% in 2014, but not statistically significant (p = 0.276). The annual resistance rate to rifampicin, rifabutin, ethambutol, and prothionamide showed a significant decreasing trend, while other drugs including three FQs did not.

The drug resistance pattern and trends of previously treated cases are shown in Table 3. The resistance rates to any drug and isoniazid were 37.6% and 35.4%, respectively. MDR, pre-XDR, and XDR rates were 24.1%, 6.1%, and 4.0%, respectively. The MDR rate has significantly decreased from 28.6% in 2010 to 18.4% in 2014 (p = 0.027). The drug resistance rate to rifampicin, capreomycin, cycloserine, and PAS showed a significant decreasing trend, while other drugs including three FQs did not.

Trend in fluoroquinolone resistance

The resistance rate to any FQ was 0.8% (43/5,221) in non-MDR-TB patients, and 26.2% (99/378) in MDR-TB patients (p < 0.001). The trend of FQ resistance did not significantly change in both non-MDR-TB and MDRTB patients (Table 4), which was consistent across the seven hospitals.

Among the 43 non-MDR-TB patients with FQ resistance, 38 (88.4%) had isolates with FQ mono-resistance and five (11.6%) had combined resistance. Drug resistance pattern of these patients are shown in Table 5. Of the 43 patients, 24 (44%) were women with a mean of 60 years. Thirty-seven patients (86.0%) were new cases and six (14.0%) were previously treated cases receiving firstline agents only. None of them had previously received FQ for TB treatment. FQ mono-resistant TB was found in all seven hospitals throughout the study periods.

DISCUSSION

Our results demonstrated both positive and negative findings regarding the current TB situation in South Korea. On the positive side, the MDR rate has gradually decreased among both new and previously treated patients. Conversely, the FQ resistance rate is 26.2% and the trend of FQ resistance remains constant among MDR-TB patients. Although the prevalence of FQ resistance among non-MDR-TB patients is less than 1%, 88.4% of them had FQ mono-resistant isolates.

The result of our study, demonstrating the decreasing trend in MDR rate, is consistent with the trend in the number of notified MDR-TB cases in South Korea [13]. These number peaked at 1,212 in 2012, but gradually decreased to 951 in 2013, 858 in 2014, 787 in 2015, and 852 in 2016. The decreasing trend in MDR rate observed in our cohort may reflect the positive effects of current TB control program in South Korea. During the last decade, TB control has been progressively improving in South Korea. The diagnosis of TB and drug-resistant TB has become faster and more accurate with the introduction of liquid culture medium and rapid molecular DST, leading to immediate and effective treatment. Treatment outcomes of MDR-TB patients have improved. A large retrospective multicenter study (n = 1,407 MDR-TB patients) published in 2008 showed poor outcomes; a treatment success rate of 46.2% in MDR-TB and 29.3% in XDR-TB patients [14]. Since then, two retrospective cohort studies published in 2015 suggested that treatment outcomes were progressively improving, largely due to the use of later generation FQs and linezolid [15,16]. In 2016, a prospective multicenter study (n = 151 MDR-TB patients) reported an 82.1% of treatment success rate in patients with FQ-susceptible MDR-TB [17]. Public-private mix may have contributed to the reduction of MDR-TB through better patient care and gradually improved on the accuracy of TB notification on previous treatment history.

In our study, majority of patients with rifampicin-resistance revealed MDR-TB patients. Among the 413 patients with rifampin-resistant isolates, 88.5% (216/244) of new patients and 95.9% (162/169) of previously treated patients were also resistant to isoniazid. This result suggests that when rifampicin resistance is detected using the Xpert test, the patient should be treated with MDR-TB regimen in South Korea until the phenotypic DST results are available.

Despite the decreasing trend in MDR-TB, the prevalence of FQ resistance among MDR-TB patients was 26.2% in our cohort, which was higher than 21% of global estimate on FQ resistance [8], 11% in Australia [18], and 17.6% in Europe [19]. In a population-based survey coordinated by the WHO, ofloxacin resistance rate among rifampicin-resistant TB patients varied: 25.0% in Azerbaijan, 16.0% in Bangladesh, 30.7% in Belarus, 21.8% in Pakistan, and 18.3% in South Africa [9]. Considering the high rate of additional drug resistance among MDR-TB patients, the effective treatment of MDR-TB still pose a challenge in South Korea [11]. Furthermore, the trend of FQ resistance did not change among MDR-TB patients, indicating a need for more comprehensive TB control program. A study in Taiwan showed that FQ resistance rates significantly decreased following the implementation of a successful TB control program [20].

There were a few reports on the prevalence and trend of FQ resistance in non-MDR-TB patients in South Korea. In a nationwide survey, ofloxacin resistance rate among new cases was 0.04% in 1994, which had gradually increased to 0.8% in 2004 [2]. In a retrospective study conducted in a single hospital from 1997 to 2005, ofloxacin resistance rate was 30.3% (83/274) in MDR-TB patients and 0.4% (11/2,514) in non-MDR-TB patients, and there was no significant change in the trend of FQ resistance [21]. In a population-based study coordinated by the WHO, ofloxacin resistance rate in non-MDR-TB patients was variable in five countries; 0.7% in Azerbaijan, 4.6% in Bangladesh, 2.9% in Belarus, 11.1% in Pakistan, and 0.4% in South Africa [9]. FQ resistance in non-MDR-TB patients was 0.8% in our cohort, which is an indicator that could be compared to the recent prevalence of FQ resistance in TB endemic countries.

A major reason for the development FQ resistance in MDR-TB patients is suboptimal treatment with FQ-containing regimen [18,22]. In a recently published Korean study, ofloxacin resistance rate among MDR-TB patients was significantly different between the public and private sector [23]. This finding suggested that resistance to second-line drugs including FQs were amplified during MDR-TB treatment. However, the mechanism of generating FQ resistance in non-MDR-TB patients remains unclear. In our study, 88.4% of non-MDR-TB patients with FQ resistance had FQ mono-resistant isolates. None of them had previously been treated with a FQ for TB. There was no evidence of an outbreak of TB strain with FQ mono-resistance, since these patients were sporadically distributed in all hospitals and throughout the study periods. Therefore, these patients were likely to have acquired FQ resistance from exposure to FQ prior to TB diagnosis. FQ exposure prior to TB diagnosis has been associated with FQ resistance, particularly when FQ exposure occurs > 60 days before TB diagnosis and for longer than 10 days [24-26]. FQ mono-resistant TB has been reported in several countries [27,28]. Therefore, the concern has been raised that FQ-resistant TB may be generated and amplified due to the widespread use of FQs in weak healthcare systems [29]. Because of the limitations of a retrospective study, we could not determine the association between FQ use and FQ resistance in each patient. However, the existence of FQ mono-resistant TB should be regarded as a new warning against the widespread use of FQ in the community.

This study had several limitations. First, previous TB treatment history might have been misclassified in some patients because of a retrospective study conducted in private hospitals. We did not assess the patient's treatment history in connection with the Korean Tuberculosis Surveillance System. Second, our results are not representative of the general Korean population. Our study was conducted in private tertiary hospitals in some areas; thus, might be biased. However, the notified TB cases of the region belong to the seven hospitals were 16.3% of total notified TB cases in 2014 [30]. In addition, 91.4% of total TB cases were notified from the private sector, and 86.3% of them were notified from tertiary hospitals [30]. Considering this situation, our result may closely reflect the overall TB situation in South Korea. Further studies based on a representative sample of the TB population are warranted.

In conclusion, this study showed a decreasing trend in MDR, but not in FQ resistance. Although the prevalence of FQ resistance among non-MDR-TB patients was less than 1%, the existence of FQ mono-resistant TB may be a warning against the widespread use of FQ in the community.

KEY MESSAGE

1. The multidrug-resistance (MDR) rate has gradually decreased from 2010 to 2014 among both new and previously treated patients.

2. The prevalence of fluoroquinolone (FQ) resistance among non-MDR-tuberculosis patients was less than 1%, but 88.4% of them had FQ mono-resistant isolates.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

Table 1.

Demographics and baseline characteristics

Characteristic	Male	Female	Total	p value
No. of cases	3,266 (58.3)	2,333 (41.7)	5,599 (100)
Age, yr	53.0 ± 21.4	53.6 ± 20.9	53.2 ± 21.2	0.351
Age group, yr				< 0.001
0–19	100 (1.8)	57 (1.0)	157 (2.8)
20–39	685 (12.2)	702 (12.6)	1,387 (24.8)
40–59	1,246 (22.3)	540 (9.6)	1,786 (31.9)
≥ 60	1,235 (22.1)	1,034 (18.4)	2,269 (40.5)
Specimen				< 0.001
Pulmonary	3,111 (55.6)	2,168 (38.7)	5,279 (94.3)
Extra-pulmonary	155 (2.8)	165 (2.9)	320 (5.7)
Case classification				< 0.001
New	2,788 (49.8)	2,139 (38.2)	4,927 (88.0)
Previously treated	478 (8.5)	194 (3.5)	672 (12.0)
Relapse	404 (7.2)	162 (2.9)	566 (10.1)
Failure	23 (0.4)	12 (0.2)	35 (0.6)
Loss to follow-up	51 (0.9)	20 (0.4)	71 (1.3)

Values are presented as number (%) or mean ± SD.

Table 2.

Trend in the anti-tuberculosis drug resistance rate of Mycobacterium tuberculosis isolates from new cases

Variable	Year					Total	p for trend
Variable	2010	2011	2012	2013	2014	Total	p for trend
No. of cases	836	956	1,043	1,089	1,003	4,927
Isoniazid	110 (13.2)	89 (9.3)	111 (10.6)	124 (11.4)	97 (9.7)	531 (10.8)	0.172
Rifampin	53 (6.3)	61 (6.4)	48 (4.6)	47 (4.3)	35 (3.5)	244 (5.0)	< 0.001
Rifabutin	36 (4.3)	44 (4.6)	36 (3.5)	33 (3.0)	24 (2.4)	173 (3.5)	0.004
Ethambutol	34 (4.1)	43 (4.5)	34 (3.3)	35 (3.2)	28 (2.8)	174 (3.5)	0.044
Pyrazinamide	16 (1.9)	26 (2.7)	9 (0.9)	16 (1.5)	16 (1.6)	83 (1.7)	0.160
Streptomycin	26 (3.1)	37 (3.9)	45 (4.3)	44 (4.0)	42 (4.2)	194 (3.9)	0.276
Kanamycin	7 (0.8)	7 (0.7)	10 (1.0)	9 (0.8)	7 (0.7)	40 (0.8)	0.863
Capreomycin	7 (0.8)	6 (0.6)	6 (0.6)	9 (0.8)	6 (0.6)	34 (0.7)	0.804
Amikacin	7 (0.8)	6 (0.6)	8 (0.8)	7 (0.6)	7 (0.7)	35 (0.7)	0.806
Ofloxacin	16 (1.9)	16 (1.7)	19 (1.8)	14 (1.3)	11 (1.1)	76 (1.5)	0.111
Levofloxacin	15 (1.8)	14 (1.5)	18 (1.7)	14 (1.3)	8 (0.8)	69 (1.4)	0.071
Moxifloxacin	11 (1.3)	11 (1.2)	15 (1.4)	12 (1.1)	7 (0.7)	56 (1.1)	0.243
Prothionamide	13 (1.6)	14 (1.5)	10 (1.0)	10 (0.9)	5 (0.5)	52 (1.1)	0.013
Cycloserin	2 (0.2)	4 (0.4)	2 (0.2)	1 (0.0)	3 (0.3)	12 (0.2)	0.679
Para-aminosalicylic acid	25 (3.0)	30 (3.1)	27 (2.6)	27 (2.5)	18 (1.8)	127 (2.6)	0.059
Any drug	129 (15.4)	116 (12.1)	147 (14.1)	147 (13.5)	127 (12.7)	666 (13.5)	0.276
MDR	50 (6.0)	54 (5.6)	41 (3.9)	41 (3.8)	30 (3.0)	216 (4.4)	< 0.001
Pre-XDR	6 (0.7)	9 (0.9)	7 (0.7)	8 (0.7)	7 (0.7)	37 (0.8)	0.766
XDR	5 (0.6)	5 (0.5)	4 (0.4)	5 (0.5)	1 (0.1)	20 (0.4)	0.123

Values are presented as number (%).

MDR, multidrug resistance; XDR, extensively drug resistance.

Table 3.

Trend in the anti-tuberculosis drug resistance rate of Mycobacterium tuberculosis isolates from previously treated cases

Variable	Year					Total	p for trend
Variable	2010	2011	2012	2013	2014	Total	p for trend
No. of cases	126	152	131	138	125	672
Isoniazid	48 (38.1)	54 (35.5)	51 (38.9)	47 (34.1)	38 (30.4)	238 (35.4)	0.223
Rifampin	37 (29.4)	47 (30.9)	26 (19.8)	35 (25.4)	24 (19.2)	169 (25.1)	0.032
Rifabutin	23 (18.3)	35 (23.0)	20 (15.3)	27 (19.6)	19 (15.2)	124 (18.5)	0.352
Ethambutol	24 (19.0)	25 (16.4)	14 (10.7)	23 (16.7)	19 (15.2)	105 (15.6)	0.491
Pyrazinamide	15 (11.9)	15 (9.9)	8 (6.1)	23 (16.7)	10 (8.0)	71 (10.6)	1.000
Streptomycin	12 (9.5)	11 (7.2)	13 (9.9)	12 (8.7)	11 (8.8)	59 (8.8)	1.000
Kanamycin	11 (8.7)	9 (5.9)	1 (0.8)	11 (8.0)	2 (1.6)	34 (5.1)	0.057
Capreomycin	11 (8.7)	4 (2.6)	1 (0.8)	9 (6.5)	1 (0.8)	26 (3.9)	0.043
Amikacin	11 (8.7)	3 (2.0)	1 (0.8)	9 (6.5)	2 (1.6)	26 (3.9)	0.113
Ofloxacin	15 (11.9)	16 (10.5)	8 (6.1)	17 (12.3)	7 (5.6)	63 (9.4)	0.216
Levofloxacin	14 (11.1)	13 (8.6)	8 (6.1)	15 (10.9)	7 (5.6)	57 (8.5)	0.296
Moxifloxacin	12 (9.5)	12 (7.9)	5 (3.8)	13 (9.4)	7 (5.6)	49 (7.3)	0.424
Prothionamide	10 (7.9)	12 (7.9)	4 (3.1)	11 (8.0)	4 (3.2)	41 (6.1)	0.165
Cycloserin	7 (5.6)	6 (3.9)	1 (0.8)	2 (1.4)	1 (0.8)	17 (2.5)	0.005
Para-aminosalicylic acid	12 (9.5)	20 (13.2)	9 (6.9)	13 (9.4)	4 (3.2)	58 (8.6)	0.033
Any drug	50 (8.7)	56 (36.8)	54 (41.2)	51 (37.0)	42 (33.6)	253 (37.6)	0.406
MDR	36 (28.6)	45 (29.6)	25 (19.1)	33 (23.9)	23 (18.4)	162 (24.1)	0.027
Pre-XDR	6 (4.8)	15 (9.9)	7 (5.3)	8 (5.8)	5 (4.0)	41 (6.1)	0.355
XDR	10 (7.9)	6 (3.9)	0 (0.0)	9 (6.5)	2 (1.6)	27 (4.0)	0.089

Values are presented as number (%).

MDR, multidrug resistance; XDR, extensively drug resistance.

Table 4.

Trend in the fluoroquinolone resistance rate of Mycobacterium tuberculosis isolates from patients with non-MDR-TB and MDR-TB

Variable	Year					Total	p for trend
Variable	2010	2011	2012	2013	2014	Total	p for trend
Non-MDR	876	1,009	1,108	1,153	1,075	5,221
Any FQ	9 (1.0)	7 (0.7)	12 (1.1)	6 (0.5)	9 (0.8)	43 (0.8)	0.544
Ofloxacin	9 (1.0)	7 (0.7)	12 (1.1)	6 (0.5)	9 (0.8)	43 (0.8)	0.544
Levofloxacin	9 (1.0)	5 (0.5)	12 (1.1)	6 (0.5)	6 (0.6)	38 (0.7)	0.291
Moxifloxacin	6 (0.7)	4 (0.4)	9 (0.8)	5 (0.4)	5 (0.5)	29 (0.6)	0.588
MDR	86	99	66	74	53	378
Any FQ	22 (25.6)	28 (28.3)	15 (22.7)	25 (33.8)	9 (17.0)	99 (26.2)	0.659
Ofloxacin	22 (25.6)	25 (25.3)	15 (22.7)	25 (33.8)	9 (17.0)	96 (25.4)	0.803
Levofloxacin	20 (23.3)	22 (22.2)	14 (21.2)	23 (31.1)	9 (17.0)	88 (23.3)	0.987
Moxifloxacin	17 (19.8)	19 (19.2)	11 (16.7)	20 (27.0)	9 (17.0)	76 (20.1)	0.757

Values are presented as number (%).

MDR, multidrug-resistance; TB, tuberculosis; FQ, fluoroquinolone.

Table 5.

Drug susceptibility pattern of Mycobacterium tuberculosis isolates from 43 non-MDR-TB patients with fluoroquinolone resistance

	Ofloxacin	Levofloxacin	Moxifloxacin	No. of cases
Mono-resistance (n = 38)
	R	R	R	25
	R	S	S	2
	R	R	S	1
	R	S	R	10
Combined resistance (n = 5)
	Isoniazid, ethambutol, streptomycin, prothionamide			1
	Isoniazid, ethambutol, kanamycin, cycloserine, PAS			1
	Isoniazid, streptomycin, PAS			1
	Isoniazid, streptomycin			1
	Isoniazid, prothionamide			1

MDR, multidrug-resistance; TB, tuberculosis; R, resistant; S, susceptible; PAS, para-aminosalicylic acid.

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