Risk assessment and transmission of fluoroquinolone resistance in drug-resistant pulmonary tuberculosis in South India: a retrospective genomic epidemiology study

Risk assessment and transmission of fluoroquinolone resistance in drug-resistant pulmonary tuberculosis in South India: a retrospective genomic epidemiology study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Risk assessment and transmission of fluoroquinolone resistance in drug-resistant pulmonary tuberculosis in South India: a retrospective genomic epidemiology study Vijayalakshmi Prakash, Maria Joes, Bramacharry Usharani, Ramachandra Venkateswari, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4649926/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 24 Aug, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Fluoroquinolone resistance is a significant global challenge in treating multidrug-resistant tuberculosis. The WHO-endorsed GenoType MTBDRsl Ver 2.0 was used for a retrospective analysis of the molecular characterization of fluoroquinolone resistance. The FQ resistance rates in MDR-TB, RR-TB, and non-MDR-TB cases were 33%, 16.5%, and 5.4%, respectively. The most common mutation in fluoroquinolone-resistant isolates was D94G (49.5%) in the gyrA gene. In MDR-TB isolates, the prevalence of XDR-TB and pre-XDR-TB was 1.33% and 30% respectively. Among the 139 rifampicin-monoresistant tuberculosis isolates, pre-XDR-TB prevalence was 15.8%. The fluoroquinolone resistance rate was 5.12% among the 1230 isoniazid-monoresistant isolates. The study found that MDR-TB has a significantly higher risk (RR = 4.03; 95%CI: 2.94-5.53) of having fluoroquinolone resistance compared to non-MDR (RR = 0.26; 95%CI: 0.19-0.35) and rifampicin-monoresistant tuberculosis (RR=1.85; 95%CI: 1.22-2.80). Rifampicin-resistant isolates with a mutation at codon S450L have a higher risk (RR = 3.97; 95%CI: 2.90-5.44) for fluoroquinolone resistance than isolates with mutations at other codons in the rpoB gene. The study concludes that rapid diagnosis of fluoroquinolone resistance before starting treatment is urgently needed to prevent the transmission and amplification of resistance and achieve better treatment outcomes, especially in South India, where fluoroquinolone resistance is higher. Biological sciences/Genetics Biological sciences/Microbiology Biological sciences/Molecular biology Health sciences/Diseases Health sciences/Risk factors Fluoroquinolone Rifampicin Isoniazid Kanamycin Mycobacterium tuberculosis drug-resistant tuberculosis Figures Figure 1 Figure 2 Introduction The emergence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) has become a significant global public health threat. Drug-resistant tuberculosis contributes significantly to the worldwide burden of antimicrobial resistance and consumes a large proportion of health budgets and related resources in many endemic countries. The rise of multidrug-resistant tuberculosis (MDR-TB), which is resistant to rifampicin and isoniazid, poses a challenge to global TB control programmes. MDR-TB has become an international public health threat because it is associated with high treatment costs and unfavourable treatment outcomes. Fluoroquinolone (FQ) such as levofloxacin and moxifloxacin are some of the most important drugs for treating multidrug-resistant tuberculosis. They are also the drug of choice for patients with drug-sensitive tuberculosis who are intolerant to first-line drugs. 1–2 The MDR-TB treatment failures have a shorter life expectancy of 9 years, and they can be replicated in the community during this time. Unfortunately, resistance to fluoroquinolones could arise from mutations in the regions in gyrA and gyrB that determine quinolone resistance. The prevalence of FQ resistance in MDR-TB and non-MDR-TB patients was 26.6.2% and 0.8%, respectively. FQ resistance is associated with poor treatment outcomes in MDR-TB patients. 3 In most cases, patients with unfavourable treatment outcomes are closely associated with the presence of FQ resistance, 4 which further complicates treatment and eventually leads to the development of extensively drug-resistant tuberculosis (XDR-TB). India ranks first in the world in detecting drug-resistant tuberculosis, and the estimated number of MDR/RR-TB cases in India is 124000 (9.1/Lkh population) as per the latest Government of India report of March 2021. 5 An estimated 3.3% of new TB cases and 18% of already treated cases had MDR/RR-TB. Three countries account for about half of the global burden of MDR‑TB, namely India (27%), China (14%), and the Russian Federation (8%). 6 In the past decades, fluoroquinolones have been used extensively in India for treating bacterial infections of the gastrointestinal tract, respiratory tract, and urinary tract. 7 and tuberculosis treatment. It has gradually become a core drug in the treatment regimen of patients with drug-resistant tuberculosis. 8 Fluoroquinolone is associated with a mutation in the quinolone resistance determining region (QRDR) of DNA subunits A ( gyrA ) and B ( gyrB ), which encode a type II DNA topoisomerase. Mutations in subunit A result in high-level resistance, while mutations in subunit B result in low-level resistance. During the treatment of TB, multidrug-resistant (MDR) patients can develop resistance to fluoroquinolones. The development of such resistance is a risk factor that may favour the transition of these patients from MDR to pre-extensively drug-resistant (pre-XDR) TB, and they may become extensively drug-resistant through further resistance to at least one second-line injectable drug. In the gyrA gene, the most frequent mutations occur in codons 88–94 of the QRDR, particularly codons 88, 90, 91, and 94. In the gyrB gene, fluoroquinolone resistance is most frequently associated with codons 500 and 538 mutations. However, there are known geographical differences in the frequency of gyrA mutations. Understanding the frequency and geographic distribution of FQ resistance mutations is crucial for maximizing the sensitivity and specificity of treatment. 9 The prevalence of FQ resistance was between 27.4% and 29.6% in India in 2018–2020. 10 Widespread or inappropriate use of fluoroquinolones may lead to acquired and transmitted FQ resistance, which could seriously jeopardise the effective treatment and control of MDR tuberculosis. Therefore, effective and accurate diagnosis of these MDR-TB and pre-XDR-TB patients is urgently needed to choose an appropriate treatment regimen and prevent transmission. This retrospective study aims to determine the prevalence of FQ-resistant strains, associated risk factors, and transmission of FQ-resistant strains in first-line drug-resistant tuberculosis in South India and provide valuable insights to policymakers for developing appropriate interventions to reduce the subsequent complications of the disease. Materials and methods Sample collection and transportation Puducherry is one of the tourist cities in South India, with an estimated population of 12.5 lakhs. It also has a relatively well-functioning tuberculosis elimination programme. Tuberculosis hospitals in the ten districts of Tamil Nadu and Pondicherry provide local medical care to tuberculosis patients. Generally, patients with suspected tuberculosis contact the district-level hospital for tuberculosis diagnosis. The Intermediate Reference Laboratory, State TB Training and Demonstration Centre at the Government Hospital for Chest Diseases provides molecular diagnostics, liquid culture, and drug susceptibility testing. All pulmonary tuberculosis patients with microbiologically confirmed drug-resistant tuberculosis in Puducherry and eight adjoining districts of Tamil Nadu between January 2020 and December 2023 were included in this study. The doctors reviewing the medical history of the drug-resistant tuberculosis patients have instructed them to collect sputum samples in a pre-labelled, sterile 50ml wide-mouthed falcon tube (sputum collection container) before starting treatment. Sputum samples collected at each diagnostic site are packed in a standard three-pack container with an ice pack inserted to maintain a temperature of 2–8°C and sent to the Intermediate Reference Laboratory with an examination form. The samples are then analysed by fluorescence microscopy and phenotypic and genotypic diagnostics. Genotype MTBDRsl Ver 2.0 assay for Second-Line TB Drugs Susceptibility Test Upon receipt, the sputum samples were checked for completeness by ensuring that the examination form was properly completed, the Nikshay number was correct, the specimen tube was correctly labelled and there were no leaks. Once each sputum sample was accepted, a unique laboratory number was assigned for processing. Samples were oriented and processed at the Biosafety Level III facilities. Sputum samples were digested and decontaminated using the NALC-NaOH method and centrifuged at 3000×g for 15 minutes. The resulting sediment was re-suspended in 1 ml of phosphate buffer solution and centrifuged at 10,000×g for 15 minutes. The supernatant was discarded, and the pellet was further processed for DNA extraction. The pellet was dissolved in 100 µL Lysis Buffer and incubated at 95°C for 5 minutes. Then 100 µL of Neutralisation Buffer was added to the suspension, vortexed for 5 seconds, and centrifuged at 10,000×g for 5 minutes. Approximately 40–80 µL of the DNA supernatant was transferred to a sterile PCR tube. The 45 µL amplification mix was prepared, and 5 µL of the DNA supernatant was added to the PCR tubes, using 5 µL of water as a control. The PCR tubes were processed according to the manufacturer's instructions. Each well in the GT blot dish was filled with 20 µL of denaturing solution (DEN) and 20 µL of the amplified PCR product and incubated for 5 minutes. The wells were then filled with 1 mL of pre-warmed hybridization buffer, carefully mixed, and a pre-labelled strip was added. After aspirating the hybridization buffer, the tray was incubated at 45°C for 30 minutes. It was then washed thoroughly, the conjugate was incubated, and the substrate was added. Finally, the strips were rinsed twice with distilled water, removed, and pasted on an evaluation sheet to analyse the results. 11 Ethical consideration The Ethics and Scientific Review Committee of the General Hospital Institute of the Directorate of Health and Family Welfare Services, Puducherry, approved this study. All methods were performed according to the relevant guidelines and regulations stipulated by the World Health Organization (WHO) and the National Tuberculosis Elimination Program (NTEP). This research involves retrospective analysis using previously collected sputum samples for diagnostic purposes. The Committee permitted the preceding written informed consent, already obtained during sample collection. The samples were given unique study codes and were uncoupled from the patients, while age and sex were the only socio-demographic data retained. It is worth noting that the study samples did not affect the original patient outcomes. Statistical analysis We used MedCalc software (version 22.026) for all statistical analyses. We used logistic regression analysis to determine the relative risk associated with FQ resistance and transmission of FQ resistance. Statistical results were expressed as relative risk (RR) and 95% confidence intervals (Cl). All tests were two-sided, and a p-value of < 0.05 was considered statistically significant. 12 Results Characteristics of patients and strains A total of 1519 patients with microbiologically confirmed drug-resistant tuberculosis were included in this retrospective study, with 20532 samples processed for the MTBDRplus version 2 assay. Of the 1519 DR-TB isolates, 78.0% (1185) were male, and 22.0% (334) were female. Of the 1519 isolates with drug-resistant tuberculosis, 1230 were mono-resistant to isoniazid, 139 were resistant to rifampicin alone, and 150 were multidrug-resistant to tuberculosis. Of the 1230 isoniazid mono-resistant isolates, 25 (2.03%) were resistant to high-dose moxifloxacin, levofloxacin resistant, 41 (3.3%) were resistant to low-dose moxifloxacin, levofloxacin resistant and 5 were resistant to second-line injectable drugs. Of the 139 monoresistant rifampicin patient samples processed for the MTBDRsl version 2 assay, 16 (11.5%) showed high-level resistance to moxifloxacin and levofloxacin. In contrast, 7 (5.04%) showed low-level resistance to moxifloxacin and levofloxacin, and 3 (2.0%) were resistant to the second-line injectable drug amikacin. Of the 150 patient samples with multidrug resistance tested using the MTBDRsl version 2 assay, 25 (16.7%) showed high-level resistance to moxifloxacin and levofloxacin, 24 (16.0%) showed low-level resistance to these drugs, and 2 (1.3%) were resistant to the second-line injectable drug amikacin, as shown in Fig. 1 . Detection of FQ resistance To detect fluoroquinolone resistance, we use the GenoType MTBDRsl version 2 assay to detect significant mutations in the DNA gyrase genes gyrA and gyrB . The assay determines the resistance level by detecting the presence or absence of wild-type and mutant probes. If all wild-type probes of a gene are present, this means that no mutation is detectable, i.e. no resistance is detected. If a wild-type probe is missing, this indicates a detectable mutation and the results show that resistance has been detected. If all wild-type probes of a gene are present, but a prominent mutation probe is expressed, this indicates heteroresistance.One or more wild-type probes are absent without corresponding mutant probes, indicating resistance. In our study, out of 1230 isoniazid mono-resistant tuberculosis, 63 (5.12%) were found to be resistant to fluoroquinolones, 3 (0.24%) to SLID and 2 (0.16%) to FQ and SLID. In addition, one strain showed dual resistance to the gyrA and gyrB genes. Of the 139 rifampicin-monoresistant tuberculosis, 22 (15.83%) were resistant to FQ, 2 (1.44%) were resistant to SLID, and 1 had dual resistance to the gyrA and gyrB genes. Of the 150 multidrug-resistant tuberculosis, 45 (30.0%) were resistant to FQ, 1 (0.67%) was resistant to SLID, and 2 (1.33%) showed resistance to both FQ and SLID. In addition, two multidrug-resistant strains exhibited dual resistance to gyrA and gyrB , as indicated in Table 1. Of the 150 rifampicin monoresistant and 139 MDR-TB resistant isolates, the prevalence of pre-XDR, XDR, and SLID-resistant isolates was 25.26% (73/289), 0.69% (2/289) and 2.1% (6/289), respectively. Mutation patterns in the gyrA and gyrB genes It is known that the primary molecular mechanism of FQ resistance was caused by mutations in the quinolone-resistant determination region (QRDR) of DNA gyrase, which is composed of the gyrA and gyrB subunits encoded by the gyrA and gyrB genes, respectively. Of 144 FQ-resistant isolates, 102 (102/144, 70.8%) carried mutations in the gyrA gene, and 42 (42/144, 29.2%) isolates had mutations in the gyrB gene. Of the 102 gyrA mutants, 52 (57.4%) isolates were truly resistant (one or more WT probes absent and the corresponding MUT probe expressed), and 39 (42.9%) isolates were heteroresistant (expression of the MUT probe in the presence of all WT probes), which includes codons 90, 91 and 94. 11 of 102 (10.8%) were inferred resistant (one or more WT probes missing and without expression of the corresponding MUT probe). The predominant mutation occurred at codon 94, with four different amino acid changes, D94G (45/91, 49.5%), D94A (2/91, 2%), D94Y/N (8/91, 8%), and D94H (9/91, 10%), accounting for 70.3% (64/91) of the FQ-resistant isolates. Of the three FQ-resistant isolates, one had a mutation at D94A/Y and S91A and two had a mutation D94G/N and A90V (see Fig. 2 ). 24% (22.2/91) of the 42 gyrB -mutated isolates were resistant (one or more WT probes were missing, and the corresponding MUT probe was not expressed), and one had a mutation at N538D. For SLID resistance, 6 defined mutations in rrs and 4 undefined mutations in gyrA ( 3 ) and gyrB ( 1 ) were detected. The most frequently observed mutation (4/10, 40%) for kanamycin and capreomycin resistance was rrsMUT1 (A1401G); 1 of these isolates showed the presence of rrs WT and MUT1. The mutation rrsMUT2 (G1484T) was observed in 2/10 isolates. Transmission of FQs resistance between MDR and non-MDR TB strains Table 2 shows the multivariable logistic regression analysis of the factors associated with transmission of FQ-resistant patients. Relative risk (RR) denotes the ratio of risk (probability) that is > 1, indicating that exposure increases risk, while RR < 1 indicates that exposure is protective against risk. Multivariable logistic regression analysis showed that patients who were female (RR = 1.18; 95%CI: 0.83 to 1.69), MDR/RR patients in previously treated cases (RR = 2.25; 95%CI: 1.55–3.27), unfavourable treatment outcomes of H-resistant cases (RR = 1.45; 95%CI: 0.87–2.41), unfavourable treatment outcomes of MDR/RR-resistant cases (RR = 1.26; 95%CI: 0.85–1.87) are associated with FQ resistance (Table 2). Multivariable logistic regression analysis showed that MDR-TB (Relative risk = 4.03; 95%CI: 2.94–5.53) and non-MDR (H-resistant) patients have a higher risk (Relative risk = 3.91; 95%CI: 2.86–5.36) of becoming fluoroquinolone resistance than in patients with mono-resistant rifampicin tuberculosis (RR = 0.54; 95% Cl: 0.36–0.82). Rifampicin-resistant strains with a mutation in codon S450L in the rpoB gene have a higher risk (RR = 3.97; 95% Cl: 2.90–5.44) for FQ resistance and isoniazid-resistant strains, codon S315T in the katG gene have a higher risk (RR = 0.90; 95%CI: 0.66–1.24) for FQ resistance than the c-15t region (RR = 0.79; 95%CI: 0.53–1.17) of the inhA gene. Of 144 FQ-resistant cases, 45.8% (66/144) transferred H resistance to FQ resistance, and 54.2% (78/144) transferred MDR/RR tuberculosis to FQ resistance. 23 of 66 (34.8%) H-resistant TB patients were fully resistant to levofloxacin and moxifloxacin, and the remaining 43 (65.2%) patients can be given high-dose moxifloxacin. Of 78 MDR/RR-TB patients, 41% (32/78) were completely resistant to both levofloxacin and moxifloxacin, and the remaining 46 (59) patients can be treated with high-dose moxifloxacin. Discussion Fluoroquinolone has been widely used to treat various bacterial infectious diseases. However, the misuse of FQ without proper prescription has led to a significant increase in FQ resistance. FQ are essential for treating multidrug-resistant tuberculosis (MDR-TB), and resistance to them is linked to poor treatment outcomes. 13 Global prevalence data on FQ resistance is limited due to inadequate FQ testing facilities in many tuberculosis-endemic areas. Therefore, localized data is urgently needed to understand FQ resistance in MDR and non-MDR-TB, which is crucial for determining the feasibility of introducing a standardized shorter MDR-TB regimen. In our study, the overall genotypic resistance rate of fluoroquinolones among MDR-TB was 33%, 5.4% in non-MDR, and 16.5% in rifampicin mono-resistant tuberculosis patients. Sethi et al. (2020) 14 reported 38.6% in RR isolates in India, and Li et al. (2024) 15 reported 34.7% FQ resistance among MDR-TB patients in China. Our findings indicate a lower resistance rate than previous reports, but the 33% FQ resistance among MDR-TB in our study was significantly higher than the global rate (20.0%) of WHO (2020) 16 report. The high rate of FQ resistance in MDR-TB patients in Southern India suggests that including FQ in treatment could lead to ineffective treatments and worsen treatment outcomes. These findings emphasize the urgent need for FQ resistance testing before initiating MDR-TB treatment. In our study, the detection rate for extensively drug-resistant tuberculosis (XDR-TB) was 1.33% (2 isolates), which is relatively lower than the reported global prevalence of XDR-TB and the 8.6% reported in India by Sethi et al., 2020. The resistance rate to any FQs in our cohort among non-MDR-TB was 5.4%, which is relatively higher than the 0.8% reported by Kim et al., 2018, indicating a trend that warrants comparison with the recent prevalence of FQ resistance in TB-endemic countries like India. Among 91 fluoroquinolone (FQ) true resistant isolates, the frequency of gyrA mutations was higher than gyrB , which aligns with the findings of Kabir et al 9 . The most common mutations in the gyrA gene associated with FQ resistance in Mycobacterium tuberculosis are S91P, A90V, and D94A/N/Y/G/H. Most FQ-resistant isolates exhibited a mutation at codon D94G, with A90V being the most prevalent. Our study found that 49% of the FQ-resistant isolates carried the D94G mutation, a notably higher figure compared to Tania Matsui et al.'s 17 (2020) report of 44% in Brazil. Our findings are further supported by a recent study in Ethiopia, which detected a gyrA /D94A gene mutation (2%) in FQ-resistant TB isolates. 18 Moreover, our study identified a rare gyrA mutation at codon D94H in nine isolates, a mutation not commonly reported in other studies. 14 Among the 91 FQ-true resistant isolates, 26 exhibited resistance to levofloxacin and low-level resistance to moxifloxacin, while 62 displayed resistance to levofloxacin and high-level resistance to moxifloxacin. Additionally, alanine, asparagine, and serine are nonessential amino acids that promote brain functions, remove toxins, and synthesize blood cells. Any functional changes in these nonessential amino acids resulting from mutations can lead to difficulty in producing proteins necessary for cell growth, maintenance, and repair mechanisms. 19 In our study, we observed a heteroresistance mutation pattern in the gyrA gene exhibited by 39 (42.9%) isolates, characterized by the expression of MUT probe and all WT probes, including at codons 90, 91, and 94. This aligns with a recent report by Dixit et al. (2023) 20 , who documented a 39.3% heteroresistance mutation pattern in the gyrA gene in India. It's worth noting that heteroresistance has been linked to limited treatment options and an increasing rate of unfavorable treatment outcomes, as reported by Rigouts et al. 21 The prevalence rate of fluoroquinolone (FQ) resistance among non-MDR-TB in this study is 5.4%, higher than the global estimate of 0.8%. This suggests a need to be cautious about the widespread use of FQ in the community. In this study, FQ resistance among MDR-TB and RR-TB were 32.7% and 16.5%, respectively, which is also higher than the global estimates (Dixit et al., 2023). The FQ resistance in this study among the MDR/RR-TB is 24.9%, higher than the global estimates of 18.0% 22 . Among newly diagnosed H-resistance cases, the FQ resistance was 6.9%, lower than the 9.8% reported in a recent study in Pakistan. 23 Similarly, the FQ resistance in the previously treated cases was 3.81% compared to the previous study report of 44.6% by Sethi et al. 14 Among newly diagnosed MDR/RR-TB cases, the FQ resistance was 23.4%, which was higher than the 21.82% reported in the recent study carried out in China 15 and 14.2% in an Indian research. 24 Similarly, the FQ resistance in the previously treated cases was 74.24% compared to the previous study report of 44.6% by Sethi et al. 14 Another study in India reported 72.8% FQ resistance. 10 The high FQ resistance was noted in previously newly diagnosed MDR/RR TB cases, which might be due to the high transmission of the drug-resistant strains. The high rate of FQ resistance in MDR and non-MDR-TB (H-resistance) patients could lead to ineffective treatment of H mono-resistant and unfavorable outcomes. Of the 289 MDR/RR –TB isolates, 53% exhibited a mutation at codon S450L of the rpoB gene, which is lower than the previously reported rate of 77% by Tania Matsui et al. 17 Among 1230 H-mono-resistant isolates, 65% showed a mutation at codon S315T of the katG gene, resulting in high-level isoniazid resistance - a rate lower than the previously reported 72%. Notably, out of the 53% with a mutation at the S450L codon of the rpoB gene and the 65% with a mutation at the S315T codon of the katG gene, 27.9% and 5.9% were at an increased risk for FQ-resistant, a previously unreported finding. This information will be valuable for policymakers and decision-makers, providing timely evidence. Additionally, this study offers crucial insights for physicians in their daily treatment practices and serves as essential baseline information for researchers. The study found that the rates of unfavorable outcomes were 42.9% for MDR/RR tuberculosis patients and 20.4% for non-MDR-TB patients. Our study showed a higher rate of unfavorable outcomes (42.9%) for MDR/RR tuberculosis patients compared to a previous study in Ethiopia by Bogale et al.(2023) 25 , which reported a rate of 23.68%. Nair et al. (2017) 26 reported a 40% unfavorable outcome rate in India. Aaina et al. (2022) 19 reported rates of 29.4% for MDR-TB and 14.5% for non-MDR-TB cases in India. The unfavorable outcome for non-MDR (H-resistance) patients in our study was 20%, lower than the 29.4% reported by Aaina et al. (2021) 19 in India. These unsuccessful treatment outcomes were significantly associated with FQ resistance. The increasing percentage of unfavorable outcomes could pose a risk of transmitting tuberculosis-resistant forms and negatively impact the country's GDP. The study has significant strengths, such as recruiting a large sample size and using various diagnostic methods. However, our study has several limitations to our study. We relied on secondary data for patient characteristics, and only patients with a laboratory diagnosis of tuberculosis were included. Our study used a cross-sectional design and only identified associated factors, not risk factors, for FQ-resistant transmission. We were unable to determine if FQ resistance resulted from previous treatment exposure because data on previous FQ use before DR-TB diagnosis were not available. Additionally, drug susceptibility tests for DS tuberculosis are not routinely conducted, although FQ resistance among DS-TB could lead to unfavorable treatment outcomes. FQ resistance is higher in regions where these drugs are widely prescribed and sometimes misused as fluoroquinolones. This text highlights the concerning rise of FQ (fluoroquinolone) resistance in India due to the unregulated prescription of these drugs. The study found a higher proportion of MDR/RR (multidrug-resistant/rifampicin-resistant) TB cases with FQ-resistant genotypes, even in isolates with resistance to a single drug. The high FQ resistance rate identified in the study is alarming for the National Tuberculosis Elimination Programme and underscores the need for reasonable use of fluoroquinolone drugs. This report also describes specific mutations related to high FQ resistance in TB patients from India, which could inform the development of a new algorithm for rapid drug-resistant TB diagnosis, leading to better treatment outcomes. Around one-third of FQ-resistant cases were presumed to be transmitted, indicating the urgent need for policymakers to address the higher rate of FQ resistance in India among DR-TB (drug-resistant tuberculosis) patients. The findings suggest implementing the diagnosis of FQ resistance, preferably at the initial diagnosis stage, to identify all resistance-promoting mutations and ensure effective treatment and resistance control. Declarations Acknowledgments The authors would like to acknowledge the staff of the Intermediary Reference Laboratory and State TB cell (NTEP) for their skilful technical assistance Author contributions VP and MJ--prepared manuscript BU and RV--prepared figures PG and BRM--prepared tables ADVN and MM--prepared manuscript, MM--statistical analysis. All authors reviewed the manuscript Data availability Statement All primary and secondary data are available with the corresponding author and in the Nikshay portal, Government of India. Permission is granted to the corresponding author to access the data through login credentials. The datasets generated and analyzed during the current study are part of the first author's Ph.D. thesis and are not publicly available. 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Tables Table 1: Transmission of first-line drug resistant to fluoroquinolones resistance and its pattern Total Resistant FL drug target gene SL drug target gene Type of resistance Nos Mutation Probe Pattern Mutation site (codons) Total isolates n(144) Frequency (%) Isoniazid mono Resistant n(69) katG n(50) gyrA n(27) True resistant 11 MUT1+ A90V 3 2.1 MUT1+ MUT3C+ A90V+D94G 1 0.7 MUT2+ S91P 1 0.7 MUT3C+ D94G 6 4.2 Inferred resistant 2 WT2, WT3, MUT 89-96 1 0.7 WT3, MUT 92-96 1 0.7 Hetero resistant 14 WT+ MUT1+ A90V 2 1.4 WT+ MUT1+ MUT3B+ A90V+ D94N/Y 1 0.7 WT+ MUT3B+ D94N/Y 1 0.7 WT+ MUT3C+ D94G 9 6.3 WT+ MUT3D+ D94H 1 0.7 gyrB n(18) Inferred resistant 18 WT, MUT 536-541 18 12.5 gyrA+gyrB n(1) True resistant 1 MUT1+ A90V 1 0.7 Inferred resistant WT, MUT 536-541 rrs n(2) Inferred resistant 1 WT1, ΔMUT region 1400 1 0.7 Hetero resistant 1 WT+, MUT1+ a1401g 1 0.7 gyrA+rrs n(2) Hetero resistant 1 WT+ MUT1+ A90V 1 0.7 True resistant MUT1+ a1401g Hetero resistant 1 WT+ MUT3C+ D94G 1 0.7 True resistant MUT2+ g1484t inhA n(18) gyrA n(7) True resistant 2 MUT1+ A90V 2 1.4 Inferred resistant 1 WT2, WT3, MUT 89-96 1 0.7 Hetero resistant 4 WT+ MUT3C+ D94G 3 2.1 WT+ MUT3D+ D94H 1 0.7 gyrB n(10) Inferred resistant 10 WT, MUT 536-541 10 6.9 rrs n(1) Inferred resistant 1 WT1, MUT region 1400 1 0.7 katG+inhA n(1) gyrA n(1) Hetero resistant 1 WT+ MUT3D+ D94H 1 0.7 Rifampicin mono Resistant n(25) rpoB n(25) gyrA n(20) True resistant 8 MUT1+ A90V 2 1.4 MUT3B+ D94N/D94Y 1 0.7 MUT3C+ D94G 5 3.5 Inferred resistant 2 WT1, WT2, MUT 85-93 1 0.7 WT3, MUT 92-96 1 0.7 Hetero resistant 10 WT+ MUT2+ S91P 1 0.7 WT+ MUT3B+ D94N/D94Y 1 0.7 WT+ MUT3C+ D94G 7 4.9 WT+ MUT3D+ D94H 1 0.7 gyrB n(2) Inferred resistant 2 WT,MUT 536-541 2 1.4 gyrA+gyrB n(1) Hetero resistant 1 WT+ MUT3D+ D94H 1 0.7 Inferred resistant WT,MUT 536-541 rrs n(2) True resistant 1 MUT2+ g1484t 1 0.7 Inferred resistant 1 WT1, MUT region 1400 1 0.7 Multidrug Resistant Tuberculosis n(50) rpoB+katG n(39) gyrA n(31) True resistant 19 MUT1+ A90V 6 4.2 MUT2+ MUT3A+ S91P+ D94A 1 0.7 MUT3B+ D94N/D94Y 2 1.4 MUT3C+ D94G 8 5.6 MUT3D+ D94H 2 1.4 Inferred resistant 4 WT1, MUT 85-89 1 0.7 WT2, MUT 89-93 3 2.1 Hetero resistant 8 WT+ MUT1+ A90V 1 0.7 WT+ MUT3A+ D94A 1 0.7 WT+ MUT3B+ D94N/D94Y 1 0.7 WT+ MUT3C+ D94G 5 3.5 gyrB n(4) Inferred resistant 4 WT, MUT 536-541 4 2.8 gyrA+gyrB n(2) True resistant 1 MUT3B+ D94N/D94Y 1 0.7 Hetero resistant WT1+ MUT1+ N538D Hetero resistant 1 WT+ MUT3C+ D94G 1 0.7 Inferred resistant WT, MUT 536-541 rrs n(1) Inferred resistant 1 WT1, MUT region 1400 1 0.7 gyrB+rrs n(1) Inferred resistant 1 WT, MUT 536-541 1 0.7 True resistant MUT1+ a1401g rpoB+inhA (n8) gyrA n(7) True resistant 4 MUT1+ A90V 2 1.4 MUT3A+ D94A 1 0.7 MUT3D+ D94H 1 0.7 Inferred resistant 2 WT2, MUT 89-93 1 0.7 WT3, MUT 92-96 1 0.7 Hetero resistant 1 WT+ MUT3B+ D94N/D94Y 1 0.7 gyrB n(1) Inferred resistant 1 WT, MUT 536-541 1 0.7 rpoB+katG+ inhA n(3) gyrA n(2) True resistant 1 MUT3D+ D94H 1 0.7 Hetero resistant 1 WT+ MUT1+ A90V 1 0.7 gyrA+rrs n(1) True resistant 1 MUT1+ A90V 1 0.7 True resistant MUT1+ a1401g Table 2: Multivariable logistic regression on the risk factors of FQ-R patients (N = 144). Characteristics FQ-S n(1375) FQ-R n(144)% RR 95%Cl p-value Demographic factors Gender Female 298 36(12.1) Ref Male 1077 108(10.0) 0.85(0.59-1.21) 0.3572 Age ≤24 94 13(13.8) Ref 25-44 420 55(13.1) 1.05(0.60-1.85) 0.8679 45-64 684 67(9.8) 1.30(0.93-1.82) 0.1301 ≥65 177 9(5.1) 1.84(0.94-3.63) 0.0765 TB treatment history H-resistant cases New cases 565 39(6.9) Ref Previously treated cases 603 23(3.8) 0.57(0.34-0.94) 0.028 MDR/RR cases New cases 141 33(23) Ref Previously treated cases 66 49(74) 2.25(1.55-3.27) 0.0001 First Diagnostic Unit District-level Hospitals 398 59(14.8) Ref Tertiary hospitals 977 85(8.7) 0.62(0.45-0.84) 0.0028 Treatment outcome H-resistant cases Favorable outcome 928 51(5.5) Ref Unfavourable outcome 232 19(8.2) 1.45(0.87-2.41) 0.1495 MDR/RR cases Favorable outcome 127 38(29.9) Ref Unfavourable outcome 88 36(40.9) 1.26(0.85-1.87) 0.2467 Bacteriological factors Isoniazid mono-resistant n(1230) Resistant 1230 66(5.4) Ref Sensitive 289 72(24.9) 3.91(2.86-5.36) 0.0001 Rifampicin mono-resistant n(139) Resistant 139 23(16.5) Ref Sensitive 1380 115(8.3) 0.54(0.36-0.82) 0.004 Multidrug resistant n(150) No 1369 89(6.5) Ref Yes 150 49(32.7) 4.03(2.94-5.53) 0.0001 Mutation site – MDR/RR-TB rpoB S450L (n=289) No 106 29(21.5%) Ref Yes 111 43(27.9%) 0.81(0.53-1.24) 0.3292 katG S315T (n=1230) No 415 20(4.6%) Ref Yes 749 46(5.9%) 0.80(0.48-1.34) 0.4030 Additional Declarations No competing interests reported. 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21:31:10","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":30048,"visible":true,"origin":"","legend":"\u003cp\u003eFlowchart of SL-LPA testing for the samples received from 2020 to 2023.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-4649926/v1/269e85b82a7c2237b0c875fa.png"},{"id":62158347,"identity":"8919f47f-cacb-4da5-9f90-40bbeb00f064","added_by":"auto","created_at":"2024-08-09 21:31:10","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":23656,"visible":true,"origin":"","legend":"\u003cp\u003eThe association of \u003cem\u003egyrA\u003c/em\u003e mutation with levofloxacin and moxifloxacin resistance\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-4649926/v1/d9ff97cf75a06ec6aba9a315.png"},{"id":63300020,"identity":"a4214ade-e951-4a49-89ad-977425aa735c","added_by":"auto","created_at":"2024-08-26 16:09:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":846661,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4649926/v1/5cdfda58-998d-42a6-ace8-b3407a11edfc.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Risk assessment and transmission of fluoroquinolone resistance in drug-resistant pulmonary tuberculosis in South India: a retrospective genomic epidemiology study","fulltext":[{"header":"Introduction","content":"\u003cp\u003eThe emergence of multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis (XDR-TB) has become a significant global public health threat. Drug-resistant tuberculosis contributes significantly to the worldwide burden of antimicrobial resistance and consumes a large proportion of health budgets and related resources in many endemic countries. The rise of multidrug-resistant tuberculosis (MDR-TB), which is resistant to rifampicin and isoniazid, poses a challenge to global TB control programmes. MDR-TB has become an international public health threat because it is associated with high treatment costs and unfavourable treatment outcomes.\u003c/p\u003e \u003cp\u003eFluoroquinolone (FQ) such as levofloxacin and moxifloxacin are some of the most important drugs for treating multidrug-resistant tuberculosis. They are also the drug of choice for patients with drug-sensitive tuberculosis who are intolerant to first-line drugs.\u003csup\u003e1\u0026ndash;2\u003c/sup\u003e The MDR-TB treatment failures have a shorter life expectancy of 9 years, and they can be replicated in the community during this time. Unfortunately, resistance to fluoroquinolones could arise from mutations in the regions in \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e that determine quinolone resistance. The prevalence of FQ resistance in MDR-TB and non-MDR-TB patients was 26.6.2% and 0.8%, respectively. FQ resistance is associated with poor treatment outcomes in MDR-TB patients.\u003csup\u003e3\u003c/sup\u003e In most cases, patients with unfavourable treatment outcomes are closely associated with the presence of FQ resistance,\u003csup\u003e4\u003c/sup\u003e which further complicates treatment and eventually leads to the development of extensively drug-resistant tuberculosis (XDR-TB).\u003c/p\u003e \u003cp\u003eIndia ranks first in the world in detecting drug-resistant tuberculosis, and the estimated number of MDR/RR-TB cases in India is 124000 (9.1/Lkh population) as per the latest Government of India report of March 2021.\u003csup\u003e5\u003c/sup\u003e An estimated 3.3% of new TB cases and 18% of already treated cases had MDR/RR-TB. Three countries account for about half of the global burden of MDR‑TB, namely India (27%), China (14%), and the Russian Federation (8%).\u003csup\u003e6\u003c/sup\u003e In the past decades, fluoroquinolones have been used extensively in India for treating bacterial infections of the gastrointestinal tract, respiratory tract, and urinary tract.\u003csup\u003e7\u003c/sup\u003e and tuberculosis treatment. It has gradually become a core drug in the treatment regimen of patients with drug-resistant tuberculosis.\u003csup\u003e8\u003c/sup\u003e Fluoroquinolone is associated with a mutation in the quinolone resistance determining region (QRDR) of DNA subunits A (\u003cem\u003egyrA\u003c/em\u003e) and B (\u003cem\u003egyrB\u003c/em\u003e), which encode a type II DNA topoisomerase. Mutations in subunit A result in high-level resistance, while mutations in subunit B result in low-level resistance. During the treatment of TB, multidrug-resistant (MDR) patients can develop resistance to fluoroquinolones. The development of such resistance is a risk factor that may favour the transition of these patients from MDR to pre-extensively drug-resistant (pre-XDR) TB, and they may become extensively drug-resistant through further resistance to at least one second-line injectable drug. In the gyrA gene, the most frequent mutations occur in codons 88\u0026ndash;94 of the QRDR, particularly codons 88, 90, 91, and 94. In the \u003cem\u003egyrB\u003c/em\u003e gene, fluoroquinolone resistance is most frequently associated with codons 500 and 538 mutations. However, there are known geographical differences in the frequency of gyrA mutations. Understanding the frequency and geographic distribution of FQ resistance mutations is crucial for maximizing the sensitivity and specificity of treatment.\u003csup\u003e9\u003c/sup\u003e The prevalence of FQ resistance was between 27.4% and 29.6% in India in 2018\u0026ndash;2020.\u003csup\u003e10\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eWidespread or inappropriate use of fluoroquinolones may lead to acquired and transmitted FQ resistance, which could seriously jeopardise the effective treatment and control of MDR tuberculosis. Therefore, effective and accurate diagnosis of these MDR-TB and pre-XDR-TB patients is urgently needed to choose an appropriate treatment regimen and prevent transmission. This retrospective study aims to determine the prevalence of FQ-resistant strains, associated risk factors, and transmission of FQ-resistant strains in first-line drug-resistant tuberculosis in South India and provide valuable insights to policymakers for developing appropriate interventions to reduce the subsequent complications of the disease.\u003c/p\u003e"},{"header":"Materials and methods","content":"\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e \u003ch2\u003eSample collection and transportation\u003c/h2\u003e \u003cp\u003ePuducherry is one of the tourist cities in South India, with an estimated population of 12.5 lakhs. It also has a relatively well-functioning tuberculosis elimination programme. Tuberculosis hospitals in the ten districts of Tamil Nadu and Pondicherry provide local medical care to tuberculosis patients. Generally, patients with suspected tuberculosis contact the district-level hospital for tuberculosis diagnosis. The Intermediate Reference Laboratory, State TB Training and Demonstration Centre at the Government Hospital for Chest Diseases provides molecular diagnostics, liquid culture, and drug susceptibility testing. All pulmonary tuberculosis patients with microbiologically confirmed drug-resistant tuberculosis in Puducherry and eight adjoining districts of Tamil Nadu between January 2020 and December 2023 were included in this study. The doctors reviewing the medical history of the drug-resistant tuberculosis patients have instructed them to collect sputum samples in a pre-labelled, sterile 50ml wide-mouthed falcon tube (sputum collection container) before starting treatment. Sputum samples collected at each diagnostic site are packed in a standard three-pack container with an ice pack inserted to maintain a temperature of 2\u0026ndash;8\u0026deg;C and sent to the Intermediate Reference Laboratory with an examination form. The samples are then analysed by fluorescence microscopy and phenotypic and genotypic diagnostics.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec4\" class=\"Section2\"\u003e \u003ch2\u003eGenotype MTBDRsl Ver 2.0 assay for Second-Line TB Drugs Susceptibility Test\u003c/h2\u003e \u003cp\u003eUpon receipt, the sputum samples were checked for completeness by ensuring that the examination form was properly completed, the Nikshay number was correct, the specimen tube was correctly labelled and there were no leaks. Once each sputum sample was accepted, a unique laboratory number was assigned for processing. Samples were oriented and processed at the Biosafety Level III facilities. Sputum samples were digested and decontaminated using the NALC-NaOH method and centrifuged at 3000\u0026times;g for 15 minutes. The resulting sediment was re-suspended in 1 ml of phosphate buffer solution and centrifuged at 10,000\u0026times;g for 15 minutes. The supernatant was discarded, and the pellet was further processed for DNA extraction. The pellet was dissolved in 100 \u0026micro;L Lysis Buffer and incubated at 95\u0026deg;C for 5 minutes. Then 100 \u0026micro;L of Neutralisation Buffer was added to the suspension, vortexed for 5 seconds, and centrifuged at 10,000\u0026times;g for 5 minutes. Approximately 40\u0026ndash;80 \u0026micro;L of the DNA supernatant was transferred to a sterile PCR tube. The 45 \u0026micro;L amplification mix was prepared, and 5 \u0026micro;L of the DNA supernatant was added to the PCR tubes, using 5 \u0026micro;L of water as a control. The PCR tubes were processed according to the manufacturer's instructions. Each well in the GT blot dish was filled with 20 \u0026micro;L of denaturing solution (DEN) and 20 \u0026micro;L of the amplified PCR product and incubated for 5 minutes. The wells were then filled with 1 mL of pre-warmed hybridization buffer, carefully mixed, and a pre-labelled strip was added. After aspirating the hybridization buffer, the tray was incubated at 45\u0026deg;C for 30 minutes. It was then washed thoroughly, the conjugate was incubated, and the substrate was added. Finally, the strips were rinsed twice with distilled water, removed, and pasted on an evaluation sheet to analyse the results.\u003csup\u003e11\u003c/sup\u003e\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003eEthical consideration\u003c/h2\u003e \u003cp\u003e The Ethics and Scientific Review Committee of the General Hospital Institute of the Directorate of Health and Family Welfare Services, Puducherry, approved this study. All methods were performed according to the relevant guidelines and regulations stipulated by the World Health Organization (WHO) and the National Tuberculosis Elimination Program (NTEP). This research involves retrospective analysis using previously collected sputum samples for diagnostic purposes. The Committee permitted the preceding written informed consent, already obtained during sample collection. The samples were given unique study codes and were uncoupled from the patients, while age and sex were the only socio-demographic data retained. It is worth noting that the study samples did not affect the original patient outcomes.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003eStatistical analysis\u003c/h2\u003e \u003cp\u003eWe used MedCalc software (version 22.026) for all statistical analyses. We used logistic regression analysis to determine the relative risk associated with FQ resistance and transmission of FQ resistance. Statistical results were expressed as relative risk (RR) and 95% confidence intervals (Cl). All tests were two-sided, and a p-value of \u0026lt;\u0026thinsp;0.05 was considered statistically significant.\u003csup\u003e12\u003c/sup\u003e\u003c/p\u003e \u003c/div\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003eCharacteristics of patients and strains\u003c/h2\u003e \u003cp\u003eA total of 1519 patients with microbiologically confirmed drug-resistant tuberculosis were included in this retrospective study, with 20532 samples processed for the MTBDRplus version 2 assay. Of the 1519 DR-TB isolates, 78.0% (1185) were male, and 22.0% (334) were female. Of the 1519 isolates with drug-resistant tuberculosis, 1230 were mono-resistant to isoniazid, 139 were resistant to rifampicin alone, and 150 were multidrug-resistant to tuberculosis. Of the 1230 isoniazid mono-resistant isolates, 25 (2.03%) were resistant to high-dose moxifloxacin, levofloxacin resistant, 41 (3.3%) were resistant to low-dose moxifloxacin, levofloxacin resistant and 5 were resistant to second-line injectable drugs. Of the 139 monoresistant rifampicin patient samples processed for the MTBDRsl version 2 assay, 16 (11.5%) showed high-level resistance to moxifloxacin and levofloxacin. In contrast, 7 (5.04%) showed low-level resistance to moxifloxacin and levofloxacin, and 3 (2.0%) were resistant to the second-line injectable drug amikacin. Of the 150 patient samples with multidrug resistance tested using the MTBDRsl version 2 assay, 25 (16.7%) showed high-level resistance to moxifloxacin and levofloxacin, 24 (16.0%) showed low-level resistance to these drugs, and 2 (1.3%) were resistant to the second-line injectable drug amikacin, as shown in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003eDetection of FQ resistance\u003c/h2\u003e \u003cp\u003eTo detect fluoroquinolone resistance, we use the GenoType MTBDRsl version 2 assay to detect significant mutations in the DNA gyrase genes \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e. The assay determines the resistance level by detecting the presence or absence of wild-type and mutant probes. If all wild-type probes of a gene are present, this means that no mutation is detectable, i.e. no resistance is detected. If a wild-type probe is missing, this indicates a detectable mutation and the results show that resistance has been detected. If all wild-type probes of a gene are present, but a prominent mutation probe is expressed, this indicates heteroresistance.One or more wild-type probes are absent without corresponding mutant probes, indicating resistance. In our study, out of 1230 isoniazid mono-resistant tuberculosis, 63 (5.12%) were found to be resistant to fluoroquinolones, 3 (0.24%) to SLID and 2 (0.16%) to FQ and SLID. In addition, one strain showed dual resistance to the \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e genes. Of the 139 rifampicin-monoresistant tuberculosis, 22 (15.83%) were resistant to FQ, 2 (1.44%) were resistant to SLID, and 1 had dual resistance to the \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e genes. Of the 150 multidrug-resistant tuberculosis, 45 (30.0%) were resistant to FQ, 1 (0.67%) was resistant to SLID, and 2 (1.33%) showed resistance to both FQ and SLID. In addition, two multidrug-resistant strains exhibited dual resistance to \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e, as indicated in Table\u0026nbsp;1. Of the 150 rifampicin monoresistant and 139 MDR-TB resistant isolates, the prevalence of pre-XDR, XDR, and SLID-resistant isolates was 25.26% (73/289), 0.69% (2/289) and 2.1% (6/289), respectively.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec10\" class=\"Section2\"\u003e \u003ch2\u003eMutation patterns in the gyrA and gyrB genes\u003c/h2\u003e \u003cp\u003eIt is known that the primary molecular mechanism of FQ resistance was caused by mutations in the quinolone-resistant determination region (QRDR) of DNA gyrase, which is composed of the \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e subunits encoded by the \u003cem\u003egyrA\u003c/em\u003e and \u003cem\u003egyrB\u003c/em\u003e genes, respectively. Of 144 FQ-resistant isolates, 102 (102/144, 70.8%) carried mutations in the \u003cem\u003egyrA\u003c/em\u003e gene, and 42 (42/144, 29.2%) isolates had mutations in the \u003cem\u003egyrB\u003c/em\u003e gene. Of the 102 \u003cem\u003egyrA\u003c/em\u003e mutants, 52 (57.4%) isolates were truly resistant (one or more WT probes absent and the corresponding MUT probe expressed), and 39 (42.9%) isolates were heteroresistant (expression of the MUT probe in the presence of all WT probes), which includes codons 90, 91 and 94. 11 of 102 (10.8%) were inferred resistant (one or more WT probes missing and without expression of the corresponding MUT probe). The predominant mutation occurred at codon 94, with four different amino acid changes, D94G (45/91, 49.5%), D94A (2/91, 2%), D94Y/N (8/91, 8%), and D94H (9/91, 10%), accounting for 70.3% (64/91) of the FQ-resistant isolates. Of the three FQ-resistant isolates, one had a mutation at D94A/Y and S91A and two had a mutation D94G/N and A90V (see Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). 24% (22.2/91) of the 42 \u003cem\u003egyrB\u003c/em\u003e-mutated isolates were resistant (one or more WT probes were missing, and the corresponding MUT probe was not expressed), and one had a mutation at N538D. For SLID resistance, 6 defined mutations in rrs and 4 undefined mutations in \u003cem\u003egyrA\u003c/em\u003e (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) and \u003cem\u003egyrB\u003c/em\u003e (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) were detected. The most frequently observed mutation (4/10, 40%) for kanamycin and capreomycin resistance was rrsMUT1 (A1401G); 1 of these isolates showed the presence of rrs WT and MUT1. The mutation rrsMUT2 (G1484T) was observed in 2/10 isolates.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec11\" class=\"Section2\"\u003e \u003ch2\u003eTransmission of FQs resistance between MDR and non-MDR TB strains\u003c/h2\u003e \u003cp\u003eTable\u0026nbsp;2 shows the multivariable logistic regression analysis of the factors associated with transmission of FQ-resistant patients. Relative risk (RR) denotes the ratio of risk (probability) that is \u0026gt;\u0026thinsp;1, indicating that exposure increases risk, while RR\u0026thinsp;\u0026lt;\u0026thinsp;1 indicates that exposure is protective against risk. Multivariable logistic regression analysis showed that patients who were female (RR\u0026thinsp;=\u0026thinsp;1.18; 95%CI: 0.83 to 1.69), MDR/RR patients in previously treated cases (RR\u0026thinsp;=\u0026thinsp;2.25; 95%CI: 1.55\u0026ndash;3.27), unfavourable treatment outcomes of H-resistant cases (RR\u0026thinsp;=\u0026thinsp;1.45; 95%CI: 0.87\u0026ndash;2.41), unfavourable treatment outcomes of MDR/RR-resistant cases (RR\u0026thinsp;=\u0026thinsp;1.26; 95%CI: 0.85\u0026ndash;1.87) are associated with FQ resistance (Table\u0026nbsp;2). Multivariable logistic regression analysis showed that MDR-TB (Relative risk\u0026thinsp;=\u0026thinsp;4.03; 95%CI: 2.94\u0026ndash;5.53) and non-MDR (H-resistant) patients have a higher risk (Relative risk\u0026thinsp;=\u0026thinsp;3.91; 95%CI: 2.86\u0026ndash;5.36) of becoming fluoroquinolone resistance than in patients with mono-resistant rifampicin tuberculosis (RR\u0026thinsp;=\u0026thinsp;0.54; 95% Cl: 0.36\u0026ndash;0.82). Rifampicin-resistant strains with a mutation in codon S450L in the \u003cem\u003erpoB\u003c/em\u003e gene have a higher risk (RR\u0026thinsp;=\u0026thinsp;3.97; 95% Cl: 2.90\u0026ndash;5.44) for FQ resistance and isoniazid-resistant strains, codon S315T in the \u003cem\u003ekatG\u003c/em\u003e gene have a higher risk (RR\u0026thinsp;=\u0026thinsp;0.90; 95%CI: 0.66\u0026ndash;1.24) for FQ resistance than the c-15t region (RR\u0026thinsp;=\u0026thinsp;0.79; 95%CI: 0.53\u0026ndash;1.17) of the \u003cem\u003einhA\u003c/em\u003e gene. Of 144 FQ-resistant cases, 45.8% (66/144) transferred H resistance to FQ resistance, and 54.2% (78/144) transferred MDR/RR tuberculosis to FQ resistance. 23 of 66 (34.8%) H-resistant TB patients were fully resistant to levofloxacin and moxifloxacin, and the remaining 43 (65.2%) patients can be given high-dose moxifloxacin. Of 78 MDR/RR-TB patients, 41% (32/78) were completely resistant to both levofloxacin and moxifloxacin, and the remaining 46 (59) patients can be treated with high-dose moxifloxacin.\u003c/p\u003e \u003c/div\u003e"},{"header":"Discussion","content":"\u003cp\u003eFluoroquinolone has been widely used to treat various bacterial infectious diseases. However, the misuse of FQ without proper prescription has led to a significant increase in FQ resistance. FQ are essential for treating multidrug-resistant tuberculosis (MDR-TB), and resistance to them is linked to poor treatment outcomes.\u003csup\u003e13\u003c/sup\u003e Global prevalence data on FQ resistance is limited due to inadequate FQ testing facilities in many tuberculosis-endemic areas. Therefore, localized data is urgently needed to understand FQ resistance in MDR and non-MDR-TB, which is crucial for determining the feasibility of introducing a standardized shorter MDR-TB regimen. In our study, the overall genotypic resistance rate of fluoroquinolones among MDR-TB was 33%, 5.4% in non-MDR, and 16.5% in rifampicin mono-resistant tuberculosis patients. Sethi et al. (2020)\u003csup\u003e14\u003c/sup\u003e reported 38.6% in RR isolates in India, and Li et al. (2024)\u003csup\u003e15\u003c/sup\u003e reported 34.7% FQ resistance among MDR-TB patients in China. Our findings indicate a lower resistance rate than previous reports, but the 33% FQ resistance among MDR-TB in our study was significantly higher than the global rate (20.0%) of WHO (2020)\u003csup\u003e16\u003c/sup\u003e report. The high rate of FQ resistance in MDR-TB patients in Southern India suggests that including FQ in treatment could lead to ineffective treatments and worsen treatment outcomes. These findings emphasize the urgent need for FQ resistance testing before initiating MDR-TB treatment. In our study, the detection rate for extensively drug-resistant tuberculosis (XDR-TB) was 1.33% (2 isolates), which is relatively lower than the reported global prevalence of XDR-TB and the 8.6% reported in India by Sethi et al., 2020. The resistance rate to any FQs in our cohort among non-MDR-TB was 5.4%, which is relatively higher than the 0.8% reported by Kim et al., 2018, indicating a trend that warrants comparison with the recent prevalence of FQ resistance in TB-endemic countries like India.\u003c/p\u003e \u003cp\u003eAmong 91 fluoroquinolone (FQ) true resistant isolates, the frequency of \u003cem\u003egyrA\u003c/em\u003e mutations was higher than \u003cem\u003egyrB\u003c/em\u003e, which aligns with the findings of Kabir et al\u003csup\u003e9\u003c/sup\u003e. The most common mutations in the \u003cem\u003egyrA\u003c/em\u003e gene associated with FQ resistance in \u003cem\u003eMycobacterium tuberculosis\u003c/em\u003e are S91P, A90V, and D94A/N/Y/G/H. Most FQ-resistant isolates exhibited a mutation at codon D94G, with A90V being the most prevalent. Our study found that 49% of the FQ-resistant isolates carried the D94G mutation, a notably higher figure compared to Tania Matsui et al.'s\u003csup\u003e17\u003c/sup\u003e (2020) report of 44% in Brazil. Our findings are further supported by a recent study in Ethiopia, which detected a \u003cem\u003egyrA\u003c/em\u003e/D94A gene mutation (2%) in FQ-resistant TB isolates.\u003csup\u003e18\u003c/sup\u003e Moreover, our study identified a rare \u003cem\u003egyrA\u003c/em\u003e mutation at codon D94H in nine isolates, a mutation not commonly reported in other studies.\u003csup\u003e14\u003c/sup\u003e Among the 91 FQ-true resistant isolates, 26 exhibited resistance to levofloxacin and low-level resistance to moxifloxacin, while 62 displayed resistance to levofloxacin and high-level resistance to moxifloxacin. Additionally, alanine, asparagine, and serine are nonessential amino acids that promote brain functions, remove toxins, and synthesize blood cells. Any functional changes in these nonessential amino acids resulting from mutations can lead to difficulty in producing proteins necessary for cell growth, maintenance, and repair mechanisms.\u003csup\u003e19\u003c/sup\u003e In our study, we observed a heteroresistance mutation pattern in the \u003cem\u003egyrA\u003c/em\u003e gene exhibited by 39 (42.9%) isolates, characterized by the expression of MUT probe and all WT probes, including at codons 90, 91, and 94. This aligns with a recent report by Dixit et al. (2023)\u003csup\u003e20\u003c/sup\u003e, who documented a 39.3% heteroresistance mutation pattern in the \u003cem\u003egyrA\u003c/em\u003e gene in India. It's worth noting that heteroresistance has been linked to limited treatment options and an increasing rate of unfavorable treatment outcomes, as reported by Rigouts et al.\u003csup\u003e21\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eThe prevalence rate of fluoroquinolone (FQ) resistance among non-MDR-TB in this study is 5.4%, higher than the global estimate of 0.8%. This suggests a need to be cautious about the widespread use of FQ in the community. In this study, FQ resistance among MDR-TB and RR-TB were 32.7% and 16.5%, respectively, which is also higher than the global estimates (Dixit et al., 2023). The FQ resistance in this study among the MDR/RR-TB is 24.9%, higher than the global estimates of 18.0%\u003csup\u003e22\u003c/sup\u003e. Among newly diagnosed H-resistance cases, the FQ resistance was 6.9%, lower than the 9.8% reported in a recent study in Pakistan.\u003csup\u003e23\u003c/sup\u003e Similarly, the FQ resistance in the previously treated cases was 3.81% compared to the previous study report of 44.6% by Sethi et al.\u003csup\u003e14\u003c/sup\u003e Among newly diagnosed MDR/RR-TB cases, the FQ resistance was 23.4%, which was higher than the 21.82% reported in the recent study carried out in China\u003csup\u003e15\u003c/sup\u003e and 14.2% in an Indian research.\u003csup\u003e24\u003c/sup\u003e Similarly, the FQ resistance in the previously treated cases was 74.24% compared to the previous study report of 44.6% by Sethi et al.\u003csup\u003e14\u003c/sup\u003e Another study in India reported 72.8% FQ resistance.\u003csup\u003e10\u003c/sup\u003e The high FQ resistance was noted in previously newly diagnosed MDR/RR TB cases, which might be due to the high transmission of the drug-resistant strains. The high rate of FQ resistance in MDR and non-MDR-TB (H-resistance) patients could lead to ineffective treatment of H mono-resistant and unfavorable outcomes.\u003c/p\u003e \u003cp\u003eOf the 289 MDR/RR \u0026ndash;TB isolates, 53% exhibited a mutation at codon S450L of the \u003cem\u003erpoB\u003c/em\u003e gene, which is lower than the previously reported rate of 77% by Tania Matsui et al.\u003csup\u003e17\u003c/sup\u003e Among 1230 H-mono-resistant isolates, 65% showed a mutation at codon S315T of the \u003cem\u003ekatG\u003c/em\u003e gene, resulting in high-level isoniazid resistance - a rate lower than the previously reported 72%. Notably, out of the 53% with a mutation at the S450L codon of the \u003cem\u003erpoB\u003c/em\u003e gene and the 65% with a mutation at the S315T codon of the \u003cem\u003ekatG\u003c/em\u003e gene, 27.9% and 5.9% were at an increased risk for FQ-resistant, a previously unreported finding. This information will be valuable for policymakers and decision-makers, providing timely evidence. Additionally, this study offers crucial insights for physicians in their daily treatment practices and serves as essential baseline information for researchers.\u003c/p\u003e \u003cp\u003eThe study found that the rates of unfavorable outcomes were 42.9% for MDR/RR tuberculosis patients and 20.4% for non-MDR-TB patients. Our study showed a higher rate of unfavorable outcomes (42.9%) for MDR/RR tuberculosis patients compared to a previous study in Ethiopia by Bogale et al.(2023)\u003csup\u003e25\u003c/sup\u003e, which reported a rate of 23.68%. Nair et al. (2017)\u003csup\u003e26\u003c/sup\u003e reported a 40% unfavorable outcome rate in India. Aaina et al. (2022)\u003csup\u003e19\u003c/sup\u003e reported rates of 29.4% for MDR-TB and 14.5% for non-MDR-TB cases in India. The unfavorable outcome for non-MDR (H-resistance) patients in our study was 20%, lower than the 29.4% reported by Aaina et al. (2021)\u003csup\u003e19\u003c/sup\u003e in India. These unsuccessful treatment outcomes were significantly associated with FQ resistance. The increasing percentage of unfavorable outcomes could pose a risk of transmitting tuberculosis-resistant forms and negatively impact the country's GDP.\u003c/p\u003e \u003cp\u003eThe study has significant strengths, such as recruiting a large sample size and using various diagnostic methods. However, our study has several limitations to our study. We relied on secondary data for patient characteristics, and only patients with a laboratory diagnosis of tuberculosis were included. Our study used a cross-sectional design and only identified associated factors, not risk factors, for FQ-resistant transmission. We were unable to determine if FQ resistance resulted from previous treatment exposure because data on previous FQ use before DR-TB diagnosis were not available. Additionally, drug susceptibility tests for DS tuberculosis are not routinely conducted, although FQ resistance among DS-TB could lead to unfavorable treatment outcomes. FQ resistance is higher in regions where these drugs are widely prescribed and sometimes misused as fluoroquinolones.\u003c/p\u003e \u003cp\u003eThis text highlights the concerning rise of FQ (fluoroquinolone) resistance in India due to the unregulated prescription of these drugs. The study found a higher proportion of MDR/RR (multidrug-resistant/rifampicin-resistant) TB cases with FQ-resistant genotypes, even in isolates with resistance to a single drug. The high FQ resistance rate identified in the study is alarming for the National Tuberculosis Elimination Programme and underscores the need for reasonable use of fluoroquinolone drugs. This report also describes specific mutations related to high FQ resistance in TB patients from India, which could inform the development of a new algorithm for rapid drug-resistant TB diagnosis, leading to better treatment outcomes. Around one-third of FQ-resistant cases were presumed to be transmitted, indicating the urgent need for policymakers to address the higher rate of FQ resistance in India among DR-TB (drug-resistant tuberculosis) patients. The findings suggest implementing the diagnosis of FQ resistance, preferably at the initial diagnosis stage, to identify all resistance-promoting mutations and ensure effective treatment and resistance control.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors would like to acknowledge the staff of the Intermediary Reference Laboratory and State TB cell (NTEP) for their skilful technical assistance\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eVP and MJ--prepared manuscript\u003c/p\u003e\n\u003cp\u003eBU and RV--prepared figures\u003c/p\u003e\n\u003cp\u003ePG and BRM--prepared tables\u003c/p\u003e\n\u003cp\u003eADVN and MM--prepared manuscript,\u003c/p\u003e\n\u003cp\u003eMM--statistical analysis.\u003c/p\u003e\n\u003cp\u003eAll authors reviewed the manuscript\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability Statement\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAll primary and secondary data are available with the corresponding author and in the Nikshay portal, Government of India. Permission is granted to the corresponding author to access the data through login credentials. The datasets generated and analyzed during the current study are part of the first author\u0026apos;s Ph.D. thesis and are not publicly available. The datasets are available from the corresponding author upon reasonable request.\u0026nbsp;Contact no: +91 9944737597\u003c/p\u003e\n\u003cp\u003eEmail.ID:[email protected]\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFinancial support and sponsorship\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eNil.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflicts of interest\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare no conflicts of interest.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eSingh, N., Singh, P. K., Singh, U., Garg, R. \u0026amp; Jain, A. 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J Antimicrob Chemother. 71, 314\u0026ndash;323 (2015).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWorld Health Organization. \u003cem\u003eGlobal Tuberculosis Report 2023\u003c/em\u003e. (WHO, Geneva, Switzerland, 2023).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTahseen, S. \u003cem\u003eet al.\u003c/em\u003e Isoniazid resistance profile and associated levofloxacin and pyrazinamide resistance in rifampicin resistant and sensitive isolates from pulmonary and extrapulmonary tuberculosis patients in Pakistan: A laboratory based surveillance study 2015-19. PLoS One. 15, e0239328 (2020).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eSuresh, K., Vimala, Y., Mohan, N. \u0026amp; Padmaja, I. J. Additional Resistance to any Fluoroquinolones among Multidrug-resistant Mycobacterium tuberculosis Isolates from North Coastal Andhra Pradesh, India. JPAM. 15, 68\u0026ndash;74 (2021).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBogale, L., Tsegaye, T., Abdulkadir, M. \u0026amp; Akalu, T. Y. Unfavorable Treatment Outcome and Its Predictors Among Patients with Multidrug-Resistance Tuberculosis in Southern Ethiopia in 2014 to 2019: A Multi-Center Retrospective Follow-Up Study. Infect Drug Resist. 14, 1343\u0026ndash;1355 (2021).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eNair, D. \u003cem\u003eet al.\u003c/em\u003e Predictors of unfavourable treatment outcome in patients with multidrug-resistant tuberculosis in India. PHA. 7, 32\u0026ndash;38 (2017).\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003eTable 1: Transmission of first-line drug resistant to\u0026nbsp;fluoroquinolones resistance and its pattern\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"720\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.013908205841446%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;\u003cstrong\u003eTotal Resistant\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.96105702364395%\"\u003e\n \u003cp\u003e\u003cstrong\u003eFL drug target gene\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.100139082058414%\"\u003e\n \u003cp\u003e\u003cstrong\u003eSL drug target gene\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\"\u003e\n \u003cp\u003e\u003cstrong\u003eType of resistance\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.815020862308762%\"\u003e\n \u003cp\u003e\u003cstrong\u003eNos\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMutation Probe Pattern\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.239221140472878%\"\u003e\n \u003cp\u003e\u003cstrong\u003eMutation site\u0026nbsp;\u003cbr\u003e\u0026nbsp;(codons)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.848400556328233%\"\u003e\n \u003cp\u003e\u003cstrong\u003eTotal isolates n(144)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.762169680111265%\"\u003e\n \u003cp\u003e\u003cstrong\u003eFrequency (%)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.013908205841446%\" rowspan=\"27\"\u003e\n \u003cp\u003eIsoniazid mono Resistant n(69)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.96105702364395%\" rowspan=\"20\"\u003e\n \u003cp\u003ekatG \u0026nbsp; \u0026nbsp; n(50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.100139082058414%\" rowspan=\"11\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" rowspan=\"4\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.815020862308762%\" rowspan=\"4\"\u003e\n \u003cp\u003e11\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.239221140472878%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.848400556328233%\" valign=\"bottom\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.762169680111265%\" valign=\"bottom\"\u003e\n \u003cp\u003e2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V+D94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT2+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eS91P\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"2\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT2, WT3, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003e89-96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT3, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003e92-96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"5\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"5\"\u003e\n \u003cp\u003e14\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT1+ MUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V+ D94N/Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e9\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e6.3\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003egyrB \u0026nbsp; \u0026nbsp; n(18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e18\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e12.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003egyrA+gyrB n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003errs n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, \u0026Delta;MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eregion 1400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+, MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003ea1401g\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"4\"\u003e\n \u003cp\u003egyrA+rrs n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003ea1401g\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT2+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\"\u003e\n \u003cp\u003eg1484t\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.292117465224111%\" rowspan=\"6\"\u003e\n \u003cp\u003einhA \u0026nbsp; \u0026nbsp; n(18)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.446676970633694%\" rowspan=\"4\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5734157650695515%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.601236476043276%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.055641421947449%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.737248840803709%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT2, WT3, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003e89-96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"2\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003egyrB \u0026nbsp; \u0026nbsp; n(10)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e6.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003errs \u0026nbsp; \u0026nbsp; n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;region 1400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.292117465224111%\"\u003e\n \u003cp\u003ekatG+inhA n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.446676970633694%\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5734157650695515%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\"\u003e\n \u003cp\u003eWT+ MUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.601236476043276%\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.055641421947449%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.737248840803709%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.013908205841446%\" rowspan=\"14\"\u003e\n \u003cp\u003eRifampicin mono Resistant n(25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.96105702364395%\" rowspan=\"14\"\u003e\n \u003cp\u003erpoB n(25)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.100139082058414%\" rowspan=\"9\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(20)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" rowspan=\"3\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.815020862308762%\" rowspan=\"3\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.239221140472878%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.848400556328233%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.762169680111265%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"2\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, WT2, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003e85-93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT3, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003e92-96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"4\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"4\"\u003e\n \u003cp\u003e10\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT2+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eS91P\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e7\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e4.9\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003egyrB \u0026nbsp; \u0026nbsp; n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT,MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003egyrA+gyrB n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT,MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003errs \u0026nbsp; \u0026nbsp; n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT2+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eg1484t\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eregion 1400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"10.013908205841446%\" rowspan=\"30\"\u003e\n \u003cp\u003eMultidrug \u0026nbsp; Resistant Tuberculosis n(50)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.96105702364395%\" rowspan=\"19\"\u003e\n \u003cp\u003erpoB+katG \u0026nbsp;n(39)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.100139082058414%\" rowspan=\"11\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(31)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" rowspan=\"5\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"6.815020862308762%\" rowspan=\"5\"\u003e\n \u003cp\u003e19\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.630041724617524%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.239221140472878%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.848400556328233%\" valign=\"bottom\"\u003e\n \u003cp\u003e6\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.762169680111265%\" valign=\"bottom\"\u003e\n \u003cp\u003e4.2\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT2+ MUT3A+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eS91P+ D94A\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e5.6\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"2\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003e85-89\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT2, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003e89-93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e3\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e2.1\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"4\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"4\"\u003e\n \u003cp\u003e8\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3A+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94A\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e5\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e3.5\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003egyrB \u0026nbsp; \u0026nbsp; n(4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e2.8\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"4\"\u003e\n \u003cp\u003egyrA+gyrB n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1+ MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003eN538D\u0026nbsp;\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;WT+ MUT3C+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94G\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003errs n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT1, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;region 1400\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003egyrB+rrs n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003ea1401g\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.292117465224111%\" rowspan=\"7\"\u003e\n \u003cp\u003erpoB+inhA \u0026nbsp;(n8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.446676970633694%\" rowspan=\"6\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\" rowspan=\"3\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5734157650695515%\" rowspan=\"3\"\u003e\n \u003cp\u003e4\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.601236476043276%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.055641421947449%\" valign=\"bottom\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.737248840803709%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.4\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3A+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94A\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" rowspan=\"2\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\" rowspan=\"2\"\u003e\n \u003cp\u003e2\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT2, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003e89-93\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"29.96941896024465%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT3, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"26.91131498470948%\" valign=\"bottom\"\u003e\n \u003cp\u003e92-96\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"23.853211009174313%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"19.26605504587156%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT3B+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94N/D94Y\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\"\u003e\n \u003cp\u003egyrB \u0026nbsp; \u0026nbsp; n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eInferred resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT, MUT\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003e536-541\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"13.292117465224111%\" rowspan=\"4\"\u003e\n \u003cp\u003erpoB+katG+ inhA n(3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.446676970633694%\" rowspan=\"2\"\u003e\n \u003cp\u003egyrA \u0026nbsp; \u0026nbsp; n(2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"7.5734157650695515%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.146831530139103%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT3D+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.601236476043276%\" valign=\"bottom\"\u003e\n \u003cp\u003eD94H\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"12.055641421947449%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.737248840803709%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eHetero resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"10.337552742616033%\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"20.675105485232066%\" valign=\"bottom\"\u003e\n \u003cp\u003eWT+ MUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.565400843881857%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.455696202531644%\" valign=\"bottom\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.291139240506329%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"15.508021390374331%\" rowspan=\"2\"\u003e\n \u003cp\u003egyrA+rrs n(1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"8.73440285204991%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"17.46880570409982%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.686274509803921%\" valign=\"bottom\"\u003e\n \u003cp\u003eA90V\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"13.903743315508022%\" rowspan=\"2\"\u003e\n \u003cp\u003e1\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"11.229946524064172%\" rowspan=\"2\"\u003e\n \u003cp\u003e0.7\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eTrue resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"34.50704225352113%\" valign=\"bottom\"\u003e\n \u003cp\u003eMUT1+\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"30.985915492957748%\" valign=\"bottom\"\u003e\n \u003cp\u003ea1401g\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e\n\u003ctable border=\"0\" cellspacing=\"0\" cellpadding=\"0\" width=\"720\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd width=\"100%\" colspan=\"5\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;Table 2: Multivariable logistic regression on the risk factors of FQ-R patients (N = 144).\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eCharacteristics\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003eFQ-S n(1375)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003eFQ-R n(144)%\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRR 95%Cl\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003ep-value\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eDemographic factors\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eGender\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Female\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e298\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e36(12.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Male\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e1077\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e108(10.0)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.85(0.59-1.21)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.3572\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp;Age\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026le;24\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e94\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e13(13.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 25-44\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e420\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e55(13.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.05(0.60-1.85)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.8679\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; 45-64\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e684\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e67(9.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.30(0.93-1.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.1301\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026ge;65\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e177\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e9(5.1)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.84(0.94-3.63)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.0765\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eTB treatment history\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eH-resistant cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; New cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e565\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e39(6.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Previously treated cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e603\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e23(3.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.57(0.34-0.94)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.028\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eMDR/RR cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; New cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e141\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e33(23)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Previously treated cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e66\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e49(74)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e2.25(1.55-3.27)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eFirst Diagnostic Unit\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;District-level Hospitals\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e398\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e59(14.8)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Tertiary hospitals\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e977\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e85(8.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.62(0.45-0.84)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.0028\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eTreatment outcome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eH-resistant cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Favorable outcome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e928\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e51(5.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Unfavourable outcome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e232\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e19(8.2)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.45(0.87-2.41)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.1495\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eMDR/RR cases\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Favorable outcome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e127\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e38(29.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Unfavourable outcome\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e88\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e36(40.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e1.26(0.85-1.87)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.2467\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eBacteriological factors\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"55.75757575757576%\" colspan=\"2\" valign=\"bottom\"\u003e\n \u003cp\u003eIsoniazid mono-resistant n(1230)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e1230\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e66(5.4)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Sensitive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e289\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e72(24.9)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e3.91(2.86-5.36)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"55.75757575757576%\" colspan=\"2\" valign=\"bottom\"\u003e\n \u003cp\u003eRifampicin mono-resistant n(139)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Resistant\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e139\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e23(16.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Sensitive\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e1380\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e115(8.3)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.54(0.36-0.82)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.004\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eMultidrug resistant n(150)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e1369\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e89(6.5)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e150\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e49(32.7)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e4.03(2.94-5.53)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.0001\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003eMutation site \u0026ndash; MDR/RR-TB\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003erpoB S450L (n=289)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e106\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e29(21.5%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e111\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e43(27.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.81(0.53-1.24)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.3292\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003ekatG S315T (n=1230)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; No\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e415\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e20(4.6%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003eRef\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\u003cbr\u003e\u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd width=\"39.24242424242424%\" valign=\"bottom\"\u003e\n \u003cp\u003e\u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; Yes\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"16.515151515151516%\" valign=\"bottom\"\u003e\n \u003cp\u003e749\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"15.909090909090908%\" valign=\"bottom\"\u003e\n \u003cp\u003e46(5.9%)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"18.636363636363637%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.80(0.48-1.34)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd width=\"9.696969696969697%\" valign=\"bottom\"\u003e\n \u003cp\u003e0.4030\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Fluoroquinolone, Rifampicin, Isoniazid, Kanamycin, Mycobacterium tuberculosis, drug-resistant tuberculosis","lastPublishedDoi":"10.21203/rs.3.rs-4649926/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4649926/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eFluoroquinolone resistance is a significant global challenge in treating multidrug-resistant tuberculosis. The WHO-endorsed GenoType MTBDRsl Ver 2.0 was used for a retrospective analysis of the molecular characterization of fluoroquinolone resistance. The FQ resistance rates in MDR-TB, RR-TB, and non-MDR-TB cases were 33%, 16.5%, and 5.4%, respectively. The most common mutation in fluoroquinolone-resistant isolates was D94G (49.5%) in the gyrA gene. In MDR-TB isolates, the prevalence of XDR-TB and pre-XDR-TB was 1.33% and 30% respectively. Among the 139 rifampicin-monoresistant tuberculosis isolates, pre-XDR-TB prevalence was 15.8%. The fluoroquinolone resistance rate was 5.12% among the 1230 isoniazid-monoresistant isolates. The study found that MDR-TB has a significantly higher risk (RR = 4.03; 95%CI: 2.94-5.53) of having fluoroquinolone resistance compared to non-MDR (RR = 0.26; 95%CI: 0.19-0.35) and rifampicin-monoresistant tuberculosis (RR=1.85; 95%CI: 1.22-2.80). Rifampicin-resistant isolates with a mutation at codon S450L have a higher risk (RR = 3.97; 95%CI: 2.90-5.44) for fluoroquinolone resistance than isolates with mutations at other codons in the rpoB gene. The study concludes that rapid diagnosis of fluoroquinolone resistance before starting treatment is urgently needed to prevent the transmission and amplification of resistance and achieve better treatment outcomes, especially in South India, where fluoroquinolone resistance is higher.\u003c/p\u003e","manuscriptTitle":"Risk assessment and transmission of fluoroquinolone resistance in drug-resistant pulmonary tuberculosis in South India: a retrospective genomic epidemiology study","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-08-09 21:31:05","doi":"10.21203/rs.3.rs-4649926/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-08-06T06:42:52+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-22T05:37:04+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"284154463172111668076569099218925364773","date":"2024-07-11T09:16:09+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-07-11T08:09:32+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"298533469823805815295444687325194197911","date":"2024-07-11T07:26:39+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-07-10T16:19:37+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-07-10T16:17:38+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-07-10T05:48:41+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-07-10T05:33:15+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-06-27T06:58:11+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d0505aa4-9166-4160-b4f0-506b44b46e57","owner":[],"postedDate":"August 9th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":34922414,"name":"Biological sciences/Genetics"},{"id":34922415,"name":"Biological sciences/Microbiology"},{"id":34922416,"name":"Biological sciences/Molecular biology"},{"id":34922417,"name":"Health sciences/Diseases"},{"id":34922418,"name":"Health sciences/Risk factors"}],"tags":[],"updatedAt":"2024-08-26T15:59:08+00:00","versionOfRecord":{"articleIdentity":"rs-4649926","link":"https://doi.org/10.1038/s41598-024-70535-y","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2024-08-24 15:56:58","publishedOnDateReadable":"August 24th, 2024"},"versionCreatedAt":"2024-08-09 21:31:05","video":"","vorDoi":"10.1038/s41598-024-70535-y","vorDoiUrl":"https://doi.org/10.1038/s41598-024-70535-y","workflowStages":[]},"version":"v1","identity":"rs-4649926","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4649926","identity":"rs-4649926","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}