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<p><bold>Evaluating Multidrug-Resistant Tuberculosis Prevalence in
Smear-Positive Pulmonary Tuberculosis Patients: Insights from
Balochistan, Pakistan</bold></p>
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        <th><inline-graphic mimetype="image" mime-subtype="jpeg" xlink:href="vertopal_150442f2709b4106828d7cb79f9abb89/media/image1.jpeg" />ajbms.knu.edu.af</th>
        <th><p><bold>Afghanistan Journal of Basic Medical
        Sciences</bold></p>
        <p>2025 Jan 2(2): 168-175.</p></th>
        <th><graphic mimetype="image" mime-subtype="png" xlink:href="vertopal_150442f2709b4106828d7cb79f9abb89/media/image2.png" />
        <p>ISSN: 3005-6632</p></th>
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<p>Kaniz Fatima Razaie <sup>1</sup>, Basira Bek <sup>1</sup>, *Shamim
Arif <sup>1</sup>, Shereen Khan <sup>2</sup>, Ishfaq Ahmed
<sup>2</sup></p>
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    <p><italic>Faculty of Medicine, Kateb University, Kabul,
    Afghanistan</italic></p>
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    <p><italic>Fatima Jinnah Institute of chest disease Quetta,
    Balochistan, Pakistan</italic></p>
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        <th><bold>A R ART I C L E I N F O</bold></th>
        <th><bold>A B S T R A C T</bold></th>
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        <td><p><bold>Type: Original Article</bold></p>
        <p>Received: 25 April 2025</p>
        <p>Accepted: 15 June, 2025</p>
        <p><sup>*</sup>Corresponding Author:</p>
        <p>E-mails: <email>shamim.arif29@gmail.com</email></p>
        <p><bold>To cite this article:</bold> Razaie KF, Bek B, Arif S,
        Khan S, Ahmed I. Evaluating Multidrug-Resistant Tuberculosis
        Prevalence in Smear-Positive Pulmonary Tuberculosis Patients:
        Insights from Balochistan, Pakistan.</p>
        <p>Afghanistan Journal of Basic Medical Sciences. 2025 Jan
        2(2):168-175.</p>
        <p><bold><ext-link ext-link-type="uri" xlink:href="https://doi.org/10.62134/khatamuni.92">https://doi.org/10.62134/khatamuni.92</ext-link></bold></p></td>
        <td><p><bold>Background:</bold> Multidrug-resistant tuberculosis
        (MDR-TB) remains a critical public health issue, especially in
        high-burden regions such as Pakistan. We aimed to evaluate the
        prevalence and resistance patterns of MDR-TB among
        smear-positive pulmonary tuberculosis patients in Balochistan,
        along with associated demographic and clinical
        characteristics.</p>
        <p><bold>Methods:</bold> A retrospective cross-sectional study
        was conducted at Fatima Jinnah Hospital, Quetta (Capital city of
        Balochistan), involving 673 confirmed smear-positive pulmonary
        TB patients from Jan 2021 to Dec 2024. Demographic data,
        treatment history, and drug susceptibility results were
        collected. Rifampicin resistance was initially detected using
        the Gene Xpert MTB/RIF assay, followed by confirmatory testing
        with Line Probe Assay (LPA) and culture. Statistical analysis
        included chi-square tests to assess associations between
        treatment outcomes and resistance patterns.</p>
        <p><bold>Results:</bold> Of the total participants, 60.3% were
        female, with the largest age group being 15–34 yr. Smoking
        (15.6%) and type 2 diabetes (4.6%) were the most prevalent
        comorbid conditions. Rifampicin resistance was present in all
        participants, while 84.7% showed resistance to both rifampicin
        and isoniazid. Fluoroquinolone resistance was observed in 17.2%
        of cases, and ofloxacin resistance in 8.5%. A significant
        relationship was identified between gender and treatment
        outcomes (χ² = 14.1846, P=0.0067), although no significant
        gender-based differences in specific drug resistance were
        noted.</p>
        <p><bold>Conclusion:</bold> The high rate of MDR-TB and
        second-line drug resistance in this cohort highlights the urgent
        need for enhanced diagnostic tools, public health surveillance,
        and patient-centered treatment strategies. Tailored
        interventions are essential to curbing MDR-TB transmission and
        improving treatment success rates in high-burden settings.</p>
        <p><bold>Keywords:</bold> Multidrug-resistant tuberculosis,
        Smear-positive pulmonary TB, Drug resistance patterns,
        Balochistan, Pakistan, Treatment outcomes.</p></td>
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<p><bold>Introduction</bold></p>
<p>Multidrug-resistant tuberculosis (MDR-TB) presents a formidable
challenge to global health, especially in areas with high tuberculosis
(TB) infection rates. The rise of MDR-TB complicates treatment
protocols, resulting in increased morbidity, mortality, and healthcare
expenditures. It is crucial to understand the prevalence of MDR-TB among
smear-positive pulmonary TB patients to develop effective public health
strategies and treatment guidelines. Recent research has underscored the
concerning increase in MDR-TB cases globally, highlighting the necessity
for localized studies to guide targeted interventions (1, 2).</p>
<p>The WHO has classified Pakistan as a high-burden nation for both TB
and MDR-TB, ranking it fifth worldwide in terms of TB incidence. The
growing prevalence of MDR-TB significantly hampers treatment efforts (3,
4). Annually, Pakistan reports over 413,450 TB cases, which includes a
substantial proportion of MDR-TB cases (5). Notably, the prevalence of
MDR-TB is markedly higher among previously treated patients compared to
those with new TB cases; studies reveal that approximately 16% of
previously treated individuals are affected by MDR-TB, whereas the
prevalence among new cases is around 4% (4, 6). Several factors
contribute to the high incidence of TB and MDR-TB in Pakistan, including
poverty, overcrowding, malnutrition, and a deficient healthcare system.
Recent reports indicate alarmingly high rates of MDR-TB, with
significant resistance to first-line anti-TB medications (4, 7). This
situation calls for immediate public health interventions and enhanced
healthcare responses to curb the spread of TB and MDR-TB within the
country (3). Recent reports indicate alarmingly high rates of MDR-TB,
with significant resistance to first-line anti-TB medications (4, 7).
This situation calls for immediate public health interventions and
enhanced healthcare responses to curb the spread of TB and MDR-TB within
the country (3). Data from local healthcare facilities reveal a
troubling trend in drug resistance that requires urgent attention (8).
In Balochistan, there has been limited research on the prevalence of
MDR-TB among smear-positive patients, resulting in gaps in understanding
the local epidemiology (9).</p>
<p>We aimed to assess the prevalence of MDR-TB among smear-positive
pulmonary TB patients in Balochistan, offering valuable insights into
the local epidemiological landscape and contributing to broader TB
control efforts in Pakistan.</p>
<p><bold>Materials and Methods</bold></p>
<p>This retrospective study took place at Fatima Jinnah Hospital in
Quetta, capital city of Balochistan, Pakistan, focusing on patients
diagnosed with tuberculosis (TB) between Jan 2021 and Dec 2024. The
hospital is a primary center for TB treatment in the area. The study
involved 673 smear-positive pulmonary TB patients registered at Fatima
Jinnah Hospital during the study period. Participants eligible for
inclusion had confirmed positive sputum tests. Those excluded were
patients with extra-pulmonary TB, negative sputum tests, or incomplete
medical records.</p>
<p>Data were collected retrospectively from patient treatment records
and electronic health files. The information gathered included
demographic details (age, sex, and residence), clinical data (HIV status
and previous TB treatments), and results of drug susceptibility tests.
The Gene Xpert MTB/RIF assay was used for initial diagnosis and to
evaluate rifampicin resistance. Patients identified as
rifampicin-resistant through the Gene Xpert test were referred to the
Drug-Resistant TB Center for further assessment. Confirmatory tests,
such as the Line Probe Assay (LPA) and culture, were conducted to
determine the presence of multidrug-resistant TB (MDR-TB) and to assess
resistance to other first-line and second-line anti-TB drugs.</p>
<p><italic><bold>Data Analysis</bold></italic></p>
<p>Data analysis was performed using the SPSS software ver. 26, (IBM
Corp., Armonk, NY, USA). The prevalence of MDR-TB was expressed as a
percentage of the total smear-positive cases. Chi-square tests were
utilized to explore relationships between drug resistance and various
demographic and clinical factors. A <italic>P</italic>-value of less
than 0.05 was regarded as statistically significant.</p>
<p><italic><bold>Ethical Considerations</bold></italic></p>
<p>Ethical approval was granted by the Medical Ethics Committee of
Fatima Jinnah Hospital. Informed consent from patients was waived due to
the retrospective design of the study, and all data were anonymized to
maintain confidentiality.</p>
<p><bold>Results</bold></p>
<p><italic><bold>Demographic Characteristics</bold></italic></p>
<p>Overall, 673 participants were enrolled, with a gender distribution
of 39.7% male (n=267) and 60.3% female (n=406). The age distribution
indicated that the majority of participants were aged 15-24 yr (20.1%,
n=135) and 25-34 yr (21.0%, n=141). The population was predominantly
from Balochistan (95.8%, n=645), with minimal representation from Punjab
(1.0%, n=7) and Sindh (3.1%, n=21) (Table 1).</p>
<p><italic><bold>Associated Factors</bold></italic></p>
<p>The analysis of associated factors revealed that smoking was the most
prevalent factor, affecting 15.6% (n=105) of participants. Other
associated conditions included diabetes mellitus type 2 (4.6%, n=31),
and a small number of participants reported conditions such as HIV
(1.2%, n=8) and hepatitis C (1.9%, n=13) (Table 2).</p>
<p><bold>Table 1:</bold> Demographic characteristics of participants</p>
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        <th><bold>Variable</bold></th>
        <th><bold>n= (total 673)</bold></th>
        <th><bold>%</bold></th>
      </tr>
    </thead>
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      <tr>
        <td>Male</td>
        <td>267</td>
        <td>39.7</td>
      </tr>
      <tr>
        <td>Female</td>
        <td>406</td>
        <td>60.3</td>
      </tr>
      <tr>
        <td>Age</td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>0-4</td>
        <td>5</td>
        <td>0.7</td>
      </tr>
      <tr>
        <td>5-14</td>
        <td>13</td>
        <td>1.9</td>
      </tr>
      <tr>
        <td>15-24</td>
        <td>135</td>
        <td>20.1</td>
      </tr>
      <tr>
        <td>25-34</td>
        <td>141</td>
        <td>21.0</td>
      </tr>
      <tr>
        <td>35-44</td>
        <td>99</td>
        <td>14.7</td>
      </tr>
      <tr>
        <td>45-54</td>
        <td>87</td>
        <td>12.9</td>
      </tr>
      <tr>
        <td>55-64</td>
        <td>96</td>
        <td>14.3</td>
      </tr>
      <tr>
        <td>+65</td>
        <td>97</td>
        <td>14.4</td>
      </tr>
      <tr>
        <td>Province</td>
        <td></td>
        <td></td>
      </tr>
      <tr>
        <td>Balochistan</td>
        <td>645</td>
        <td>95.8</td>
      </tr>
      <tr>
        <td>Punjab</td>
        <td>7</td>
        <td>1.0</td>
      </tr>
      <tr>
        <td>Sindh</td>
        <td>21</td>
        <td>3.1</td>
      </tr>
    </tbody>
  </table>
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<p><bold>Table 2:</bold> Associated Factors in the Study Population</p>
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        <th><bold>Variable</bold></th>
        <th><bold>n= (total 673)</bold></th>
        <th><bold>%</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Cancer</td>
        <td>1</td>
        <td>0.1</td>
      </tr>
      <tr>
        <td>Depression</td>
        <td>1</td>
        <td>0.1</td>
      </tr>
      <tr>
        <td>DMT 1</td>
        <td>3</td>
        <td>0.4</td>
      </tr>
      <tr>
        <td>DMT 2</td>
        <td>31</td>
        <td>4.6</td>
      </tr>
      <tr>
        <td>HIV</td>
        <td>8</td>
        <td>1.2</td>
      </tr>
      <tr>
        <td>HBV</td>
        <td>3</td>
        <td>0.4</td>
      </tr>
      <tr>
        <td>HCV</td>
        <td>13</td>
        <td>1.9</td>
      </tr>
      <tr>
        <td>HTN</td>
        <td>2</td>
        <td>0.3</td>
      </tr>
      <tr>
        <td>IHD</td>
        <td>2</td>
        <td>0.3</td>
      </tr>
      <tr>
        <td>Smoking</td>
        <td>105</td>
        <td>15.6</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Treatment History</bold></italic></p>
<p>Among participants, 21.5% (n=145) were newly diagnosed, while 40.6%
(n=273) had experienced treatment failure. Previous treatment history
showed that 13.5% (n=91) were previously treated, and 2.4% (n=16) had
lost follow-up (Table 3).</p>
<p><bold>Table 3:</bold> Treatment History of Participants</p>
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    <colgroup>
      <col width="40%" />
      <col width="27%" />
      <col width="33%" />
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    <thead>
      <tr>
        <th><bold>Variable</bold></th>
        <th><bold>n= (total 673)</bold></th>
        <th><bold>%</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>New</td>
        <td>145</td>
        <td>21.5</td>
      </tr>
      <tr>
        <td>Previously treated</td>
        <td>91</td>
        <td>13.5</td>
      </tr>
      <tr>
        <td>Previously treated (loss to follow up)</td>
        <td>16</td>
        <td>2.4</td>
      </tr>
      <tr>
        <td>Relapse</td>
        <td>53</td>
        <td>7.9</td>
      </tr>
      <tr>
        <td>Treatment failed</td>
        <td>273</td>
        <td>40.6</td>
      </tr>
      <tr>
        <td>Unknown</td>
        <td>95</td>
        <td>14.1</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Drug Resistance</bold></italic></p>
<p>All participants exhibited rifampicin resistance (100%), while
multi-drug resistance was noted in 84.7% (n=570) of cases. Isoniazid
resistance was present in 56.6% (n=381), with other resistances noted
for fluoroquinolone (17.2%, n=116) and ofloxacin (8.5%, n=57).
Resistance to other drugs such as ethambutol (1.5%, n=10) and
streptomycin (0.9%, n=6) was also documented (Table 4).</p>
<p><bold>Table 4:</bold> Drug Resistance Profiles among Participants</p>
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      <col width="33%" />
      <col width="33%" />
    </colgroup>
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        <th><bold>Variable</bold></th>
        <th><bold>n= (total 673) c</bold></th>
        <th><bold>%</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Rifampicin resistance</td>
        <td>673</td>
        <td>100</td>
      </tr>
      <tr>
        <td>Multi drug resistance</td>
        <td>570</td>
        <td>84.7</td>
      </tr>
      <tr>
        <td>Isoniazid resistance</td>
        <td>381</td>
        <td>56.6</td>
      </tr>
      <tr>
        <td>Fluorogqinolone resistance</td>
        <td>116</td>
        <td>17.2</td>
      </tr>
      <tr>
        <td>Ofloxacin</td>
        <td>57</td>
        <td>8.5</td>
      </tr>
      <tr>
        <td>Ethambutol resistance</td>
        <td>10</td>
        <td>1.5</td>
      </tr>
      <tr>
        <td>Kanamycin resistance</td>
        <td>7</td>
        <td>1.0</td>
      </tr>
      <tr>
        <td>Streptomycin resistance</td>
        <td>6</td>
        <td>0.9</td>
      </tr>
      <tr>
        <td>Capreomycin resistance</td>
        <td>4</td>
        <td>0.6</td>
      </tr>
      <tr>
        <td>Pyrazinamide resistance</td>
        <td>3</td>
        <td>0.4</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><italic><bold>Statistical Comparisons</bold></italic></p>
<p>Chi-square tests were conducted to assess the relationship between
gender and treatment outcomes. A significant association was found
between gender and TB treatment outcomes (χ² = 14.1846,
<italic>P</italic>=0.0067). However, no significant associations were
detected between gender and various drug resistances, including
isoniazid, streptomycin, and pyrazinamide (<italic>P</italic>&gt;0.05
for all) (Table 5).</p>
<p><bold>Table 5:</bold> Chi-Square Test Results for Gender and
Treatment Outcomes</p>
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      <col width="41%" />
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      <col width="17%" />
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        <th><bold>Comparison</bold></th>
        <th><bold>Chi-square (χ²)</bold></th>
        <th><bold>P-value</bold></th>
        <th><bold>df</bold></th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td>Gender vs TB Treatment Outcome</td>
        <td>14.1846</td>
        <td>0.0067<sup>**</sup></td>
        <td>4</td>
      </tr>
      <tr>
        <td>Gender vs Drug Resistance Type</td>
        <td>3.3987</td>
        <td>0.4934</td>
        <td>4</td>
      </tr>
      <tr>
        <td>Gender vs Isoniazid Resistance</td>
        <td>1.2891</td>
        <td>0.2562</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Streptomycin Resistance</td>
        <td>0.0400</td>
        <td>0.8414</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Pyrazinamide Resistance</td>
        <td>0.5708</td>
        <td>0.4499</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Ethambutol Resistance</td>
        <td>0.0000</td>
        <td>1.0000</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Fluoroquinolone Resistance</td>
        <td>3.8326</td>
        <td>0.0503</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Capreomycin Resistance</td>
        <td>0.8877</td>
        <td>0.3461</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Ethionamide Resistance</td>
        <td>1.0323</td>
        <td>0.3096</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Kanamycin Resistance</td>
        <td>0.0480</td>
        <td>0.8266</td>
        <td>1</td>
      </tr>
      <tr>
        <td>Gender vs Ofloxacin Resistance</td>
        <td>1.5594</td>
        <td>0.2117</td>
        <td>1</td>
      </tr>
    </tbody>
  </table>
</table-wrap>
<p><bold>Discussion</bold></p>
<p>This study presents a thorough examination of MDR-TB among
smear-positive pulmonary TB patients in Balochistan, Pakistan. The
results underscore significant public health issues and provide valuable
insights into demographic trends, associated risk factors, and drug
resistance profiles. Notably, the study found a higher prevalence of
MDR-TB among females (60.3%) compared to males (39.7%), which contrasts
with some regional studies that reported a male predominance. For
example, research conducted in Khyber Pakhtunkhwa indicated a higher
incidence among males (4). However, other studies have also shown a
similar female predominance, suggesting that the distribution of gender
may vary due to local sociocultural contexts and differences in
healthcare access (10).</p>
<p>The age distribution of TB patients typically reveals a notable
prevalence among young adults, particularly those aged 15 to 34 yr. This
observation is consistent with national data indicating that young
adults constitute a high-risk group for TB. For example, in Brazil,
while the highest TB incidence was observed among adult males, young
males demonstrated the most significant increase in case rates,
emphasizing the necessity for targeted prevention strategies within this
demographic (11). Furthermore, in countries with low TB incidence, the
disease is increasingly concentrated among high-risk populations,
including young adults, migrants, and individuals facing social
vulnerabilities (12). Additionally, smoking emerged as the most common
associated risk factor (15.6%), supporting existing literature that
identifies smoking as a significant contributor to TB infection and
disease progression (13).</p>
<p>Additional comorbidities, such as type 2 diabetes mellitus (4.6%),
HIV (1.2%), and hepatitis C (1.9%), were also identified among patients.
These conditions are known to impair immune function, increasing
susceptibility to TB and complicating treatment outcomes. Specifically,
diabetes is linked to a higher risk of developing TB and adverse
treatment results. One study found that diabetes significantly increases
the risk of mortality in TB patients, with an adjusted odds ratio of
5.16 for unfavorable outcomes (14). Co-infection with HIV also heightens
the risk of TB and complicates treatment, as individuals with HIV are
more likely to experience poor treatment outcomes, reflected in an
adjusted hazard ratio of 3.74 for post-TB mortality (15). Furthermore,
hepatitis C co-infection complicates TB treatment, leading to increased
morbidity and mortality; the presence of hepatitis C has been identified
as an independent risk factor for unfavorable TB treatment outcomes
(14). Collectively, these conditions weaken immune responses, rendering
individuals more vulnerable to TB and complicating their treatment
regimens.</p>
<p>All participants in this study exhibited resistance to rifampicin,
thereby confirming their classification as cases of MDR-TB. Moreover,
84.7% of participants demonstrated resistance to both rifampicin and
isoniazid. These rates are notably higher than the national averages
reported in earlier studies, which indicated MDR-TB prevalence rates
ranging from 4.9% to 10.4% among various populations in Pakistan (16).
The increased resistance rates observed in this study may be linked to
several factors, including inadequate adherence to treatment, prior
exposure to anti-TB medications, and limited access to quality
healthcare services (17).</p>
<p>Resistance to second-line drugs, including fluoroquinolones (17.2%)
and ofloxacin (8.5%), was also noted in this study. These findings align
with other regional research that has reported substantial resistance to
second-line medications, which presents significant challenges for
effective MDR-TB management (18).</p>
<p><bold>Conclusion</bold></p>
<p>A notable association was identified between gender and TB treatment
outcomes, indicating potential gender-specific factors that may
influence treatment efficacy. However, no significant correlations were
found between gender and resistance to specific drugs, such as
isoniazid, streptomycin, and pyrazinamide. While gender may affect
overall treatment outcomes, it does not seem to impact the development
of resistance to individual drugs. The high prevalence of MDR-TB and the
observed resistance patterns highlight the urgent need for improved
diagnostic, treatment, and prevention strategies in Balochistan and
similar contexts. Strengthening laboratory capabilities for rapid and
accurate drug susceptibility testing is essential for the timely
initiation of appropriate therapy. Additionally, implementing
comprehensive patient education and support programs can enhance
adherence to treatment regimens, thereby reducing the risk of treatment
failure and the emergence of further resistance.</p>
<p><italic><bold>Recommendations for Future Research</bold></italic></p>
<p>Future research should prioritize longitudinal studies that monitor
treatment outcomes over time and identify factors contributing to the
emergence and transmission of drug-resistant TB strains. Exploring the
influence of socioeconomic determinants, healthcare access, and patient
behaviors will offer a more comprehensive understanding of the MDR-TB
epidemic. This knowledge can inform the development of targeted
interventions aimed at mitigating the impact of drug-resistant TB.</p>
<p><bold>Conflict of interest</bold></p>
<p>The authors declare that there is no conflict of interests.</p>
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