International Journal of Medical and Pharmaceutical Research
2026, Volume-7, Issue 3 : 821-829
Research Article
A Prospective Observational Study to Monitor the Adverse Drug Reactions and Their Effect on Prescription Adherence and Treatment Outcomes In Patients of Tuberculosis
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Received
March 28, 2026
Accepted
April 15, 2026
Published
May 19, 2026
Abstract

Background: Tuberculosis remains a major public health problem, and prolonged anti-tubercular therapy (ATT) is frequently associated with adverse drug reactions (ADRs), which may negatively affect treatment adherence and outcomes. Monitoring ADRs is essential for improving treatment success under the National Tuberculosis Elimination Programme.

Aim and Objectives: To monitor adverse drug reactions among tuberculosis patients receiving ATT and to evaluate their effect on prescription adherence and treatment outcomes.

Materials and Methods: This prospective observational study was conducted among 394 tuberculosis patients attending the Departments of Respiratory Medicine and General Medicine at Dr Ram Manohar Lohia Institute of Medical Sciences, Lucknow. Patients receiving ATT under NTEP were followed prospectively during intensive and continuation phases of therapy. ADRs, prescription adherence, and treatment outcomes were assessed using a structured case record form and follow-up evaluation. Statistical analysis was performed using Microsoft Excel and R software. Chi-square test was used for association analysis, and p < 0.05 was considered statistically significant.

Results: Among 394 patients, 119 patients developed at least one ADR, giving an overall ADR proportion of 30.2%. Hepatic toxicity was the most common ADR (37.8%), followed by gastrointestinal toxicity (27.7%), arthralgia (26.9%), and ocular toxicity (26.9%). Most ADRs were mild (52.9%) or moderate (38.7%) in severity. ADR occurrence was significantly higher among drug-resistant tuberculosis patients (62.0%) compared to drug-sensitive patients (25.6%) (p < 0.001). Poor prescription adherence was significantly more common among patients with ADRs (25.2%) than those without ADRs (12.4%) (OR = 2.39, p = 0.0025). Unfavourable treatment outcomes were also significantly higher in ADR-positive patients (34.5%) compared to ADR-negative patients (24.0%) (OR = 1.66, p = 0.0435). Poor adherence was significantly associated with unfavourable treatment outcomes (OR = 2.28, p = 0.0051).

Conclusion: Adverse drug reactions are common among tuberculosis patients receiving ATT and significantly affect prescription adherence and treatment outcomes. Early identification and appropriate management of ADRs, along with regular adherence monitoring and patient counselling, are essential for improving treatment success under the NTEP.

Keywords
INTRODUCTION

Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis and continues to remain a major global public health problem despite the availability of effective diagnostic and therapeutic strategies (1). Tuberculosis primarily affects the lungs, although extrapulmonary involvement can occur in almost every organ system. According to the World Health Organisation Global Tuberculosis Report, TB remains one of the leading causes of mortality due to infectious diseases worldwide, especially in low- and middle-income countries (2). India contributes a substantial proportion of the global tuberculosis burden and continues to face major challenges related to diagnosis, treatment adherence, drug resistance, and treatment-related adverse effects (3).

 

To combat the increasing burden of tuberculosis, the Government of India implemented the National Tuberculosis Elimination Programme (NTEP), formerly known as the Revised National Tuberculosis Control Programme (RNTCP), to achieve TB elimination through early diagnosis, standardised treatment regimens, and patient-centred care (4). Standard anti-tubercular therapy (ATT) under NTEP includes multiple first-line drugs such as isoniazid, rifampicin, pyrazinamide, and ethambutol administered for prolonged durations. Although these drugs are highly effective, they are associated with various adverse drug reactions (ADRs), which may affect patient safety, treatment adherence, and therapeutic outcomes (5).

 

Adverse drug reactions during ATT range from mild gastrointestinal intolerance to severe hepatotoxicity, hypersensitivity reactions, neurological toxicity, haematological abnormalities, and ocular complications (6). Hepatotoxicity is among the most commonly reported ADRs associated with anti-tubercular therapy and may lead to interruption or discontinuation of treatment (7). Drug-resistant tuberculosis, including multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB), requires prolonged use of second-line anti-tubercular drugs, which are generally associated with a higher incidence of ADRs and poorer tolerability (8).

 

Prescription adherence is one of the most important determinants of successful tuberculosis treatment. Inadequate adherence may result in treatment failure, relapse, emergence of drug resistance, prolonged infectivity, and increased mortality (9). Several factors influence adherence during ATT, including socioeconomic status, pill burden, duration of therapy, comorbidities, and particularly the occurrence of adverse drug reactions. Patients experiencing ADRs often intentionally interrupt or discontinue therapy because of discomfort and fear of toxicity (10). Therefore, monitoring and early management of ADRs play a critical role in ensuring successful treatment completion.

 

Pharmacovigilance during anti-tubercular therapy has gained increasing importance under programmatic management strategies recommended by WHO and NTEP (11). Early identification, reporting, and management of ADRs can reduce treatment interruption and improve adherence and therapeutic outcomes. However, there remains limited prospective Indian data evaluating the relationship between ADRs, prescription adherence, and treatment outcomes among tuberculosis patients receiving ATT under routine clinical conditions.

 

Hence, the present prospective observational study was undertaken to monitor adverse drug reactions among tuberculosis patients receiving anti-tubercular therapy under the National Tuberculosis Elimination Programme and to evaluate the effect of ADRs on prescription adherence and treatment outcomes.

 

MATERIALS AND METHODS

Study Design and Setting

This prospective observational study was conducted among patients diagnosed with tuberculosis attending the Outpatient Department (OPD) and Inpatient Department (IPD) of the Department of Respiratory Medicine and the Department of General Medicine at Dr. Ram Manohar Lohia Institute of Medical Sciences. The Departments of Respiratory Medicine and General Medicine were responsible for patient diagnosis, clinical management, and initiation of anti-tubercular therapy under the National Tuberculosis Elimination Programme (NTEP). The Department of Pharmacology coordinated patient follow-up, monitoring of adverse drug reactions (ADRs), assessment of prescription adherence, and evaluation of treatment outcomes.

 

Study Duration

The study was conducted over a period of 18 months. Recruitment of participants, baseline clinical assessment, follow-up during the intensive and continuation phases of anti-tubercular therapy, data collection, and monitoring were carried out during the first 12 months. The subsequent 6 months were utilized for data compilation, statistical analysis, interpretation of findings, thesis writing, and preparation of the final manuscript.

 

Ethical Approval

Prior approval for the study was obtained from the Institutional Ethics Committee of Dr. Ram Manohar Lohia Institute of Medical Sciences. Written informed consent was obtained from all participants before enrollment into the study. Participation was voluntary, and participants were informed regarding their right to withdraw from the study at any stage without affecting their standard treatment and medical care. Confidentiality of patient identity and clinical information was maintained throughout the study. The study was conducted in accordance with the ethical principles laid down in the Declaration of Helsinki.

 

Study Population

The study population consisted of patients diagnosed with pulmonary or extrapulmonary tuberculosis and registered under the Tuberculosis Unit functioning under the National Tuberculosis Elimination Programme (NTEP). Eligible participants fulfilling the inclusion criteria and willing to participate were consecutively enrolled in the study.

 

Sample Size

The sample size was calculated based on the prevalence of adverse drug reactions reported in a previous study by Mate et al., in which the proportion of ADRs among tuberculosis patients was found to be 36.13%. The sample size was estimated using the following formula:

 

Where:

  • = required sample size
  • = standard normal variate at 95% confidence interval (1.96)
  • = prevalence of ADRs (36.13%)
  • = allowable error (5%)

 

The calculated sample size was 355. After adding 10% to compensate for possible loss to follow-up and incomplete data, the final sample size was increased to 394 participants.

 

Inclusion Criteria

  1. Patients diagnosed with tuberculosis and undergoing treatment under the National Tuberculosis Elimination Programme attending the OPD/IPD of the Departments of Respiratory Medicine and General Medicine at Dr. Ram Manohar Lohia Institute of Medical Sciences.
  2. Patients aged more than 18 years.

 

Exclusion Criteria

  1. Critically ill patients.
  2. Patients with human immunodeficiency virus (HIV) infection.
  3. Patients with abnormal baseline liver function tests (LFT) or kidney function tests (KFT).
  4. Patients developing adverse drug reactions attributable to medications prescribed for other comorbid illnesses.

 

Data Collection Procedure

Patients attending the OPD and IPD of the Departments of Respiratory Medicine and General Medicine who were diagnosed with tuberculosis and fulfilled the study eligibility criteria were screened consecutively and enrolled after obtaining written informed consent. Baseline demographic and clinical information including age, sex, type of tuberculosis, associated risk factors, comorbidities, treatment regimen, and relevant laboratory investigations were recorded at initiation of anti-tubercular therapy.

 

All enrolled participants received standard NTEP-based anti-tubercular treatment and were followed prospectively during both the intensive and continuation phases of therapy. During scheduled follow-up visits, participants were assessed for the occurrence of adverse drug reactions, prescription adherence, and clinical response to treatment. Patients were instructed to report any discomfort, interruption of therapy, or suspected adverse drug reaction during the treatment period. Treatment outcomes were documented at the completion of therapy according to NTEP and World Health Organization (WHO) treatment outcome definitions.

 

Outcome Measures

The primary outcome measure was the proportion of patients developing adverse drug reactions during anti-tubercular therapy.

 

Secondary outcome measures included:

  • Assessment of prescription adherence during treatment.
  • Evaluation of treatment outcomes at the end of therapy.

 

Treatment outcomes were categorised as:

  • Cured
  • Treatment completed
  • Treatment failure
  • Lost to follow-up
  • Death

These categories were defined according to NTEP and WHO guidelines.

 

Tools for Data Collection

Data were collected using a structured Case Record Form (CRF), which included demographic details, clinical history, risk factors, comorbidities, adverse drug reactions, treatment adherence, and outcome parameters. A predesigned, investigator-developed structured questionnaire was used to assess prescription adherence during routine follow-up visits.

 

Timeline of the Study

The study was conducted over a total duration of 18 months. Recruitment of tuberculosis patients, baseline evaluation, follow-up, and data collection were conducted during the first 12 months of the study. The subsequent 6 months (12–18 months) were utilised for data compilation, statistical analysis, interpretation of results, and preparation of the thesis manuscript.

 

Statistical Analysis

Data entry and preliminary data cleaning were performed using Microsoft Excel. Statistical analysis was carried out using R statistical software. Continuous variables were expressed as mean ± standard deviation, while categorical variables were represented as frequencies and percentages. The Shapiro–Wilk test was used to assess the normality of data distribution. Chi-square test was applied to determine associations between categorical variables. A p-value of less than 0.05 was considered statistically significant.

 

Ethical Considerations

The study was conducted in accordance with ethical principles for biomedical research involving human participants. Institutional Ethics Committee approval was obtained before commencement of the study. Written informed consent was obtained from all participants before enrollment, and confidentiality of patient-related information was strictly maintained throughout the study period.

 

RESULT AND OBSERVATIONS

Table 1: Baseline Demographic Characteristics of Study Participants (n = 394)

Variable

Category

Number of Patients (n)

Percentage (%) / Value

Age (years)

Mean ± SD

45.2 ± 14.7

Age Group (years)

18–30

72

18.3%

 

31–45

121

30.7%

 

46–60

128

32.5%

 

>60

73

18.5%

Gender

Male

281

71.3%

 

Female

113

28.7%

The mean age of the study population was 45.2 ± 14.7 years, with the majority of participants belonging to the 46–60 years age group. Male participants constituted the predominant proportion of the study cohort.

 

Table 2 Anthropometric Profile of Study Participants (n = 394)

Variable

Category / Summary

Number of Patients (n)

Percentage (%) / Value

Height (cm)

Mean ± SD

162.2 ± 8.9

Weight (kg)

Mean ± SD

48.8 ± 9.8

BMI (kg/m²)

Mean ± SD

18.7 ± 3.2

BMI Category

Underweight (<18.5)

195

49.5%

 

Normal (18.5–24.9)

185

47.0%

 

Overweight (25–29.9)

14

3.6%

 

Table 3: Baseline TB Disease Profile, Treatment Regimen, and Risk Factors of Study Participants (n = 394)

Variable

Category

Number of Patients (n)

Percentage (%)

TB Site

Pulmonary TB

328

83.2%

 

Extra-pulmonary TB

66

16.8%

Type of TB (Programmatic Categories)

Drug-sensitive (DS)

344

87.3%

 

MDR-TB

28

7.1%

 

RR-TB

17

4.3%

 

XDR-TB

5

1.3%

Resistance Status

Drug-sensitive

344

87.3%

 

Drug-resistant (MDR/RR/XDR)

50

12.7%

Standardized Regimen

DS regimen (2HRZE/4HRE)

344

87.3%

 

MDR (All-oral longer regimen)

28

7.1%

 

RR-TB regimen

17

4.3%

 

XDR regimen

5

1.3%

Diabetes Mellitus (DM)

No

338

85.8%

 

Yes

56

14.2%

Alcohol Use

No

268

68.0%

 

Yes

126

32.0%

Smoking

No

260

66.0%

 

Yes

134

34.0%

Combined Risk-factor Patterns

None recorded

182

46.2%

 

Smoking only

57

14.5%

 

Alcohol only

51

12.9%

 

Alcohol + Smoking

48

12.2%

 

DM + Smoking

16

4.1%

 

DM + Alcohol

14

3.6%

 

DM + Alcohol + Smoking

13

3.3%

 

DM only

13

3.3%

 

Table 4: Overall Proportion and Pattern of Adverse Drug Reactions among TB Patients on ATT under NTEP (n = 394)

Parameter / ADR Pattern

Number of Patients (n)

Percentage (%)

Total number of patients

394

100%

Patients with ADRs

119

30.2%

Patients without ADRs

275

69.8%

95% Confidence Interval for ADR proportion

25.9–34.9%

Types of ADRs among patients with ADRs (n = 119)

   

Hepatic toxicity

45

37.8%

Gastrointestinal toxicity

33

27.7%

Arthralgia

32

26.9%

Ocular toxicity

32

26.9%

Cutaneous reactions

28

23.5%

Hematological reactions

28

23.5%

Neurological reactions

27

22.7%

Others

28

23.5%

 

Table 5: Distribution of Adverse Drug Reactions According to Gender, Age Group, and BMI Category

Variable

Category

Total Patients (N)

ADR Present (n)

ADR (%)

p-value

Gender

Male

281

91

32.4%

0.137

 

Female

113

28

24.8%

 

Age Group (years)

18–30

72

24

33.3%

0.688

 

31–45

121

37

30.6%

 
 

46–60

128

40

31.3%

 
 

>60

73

18

24.7%

 

BMI Category (kg/m²)

Underweight (<18.5)

195

59

30.3%

0.562

 

Normal (18.5–24.9)

185

54

29.2%

 
 

Overweight (25–29.9)

14

6

42.9%

 

 

Table 6 : Distribution of Adverse Drug Reactions According to Clinical Characteristics and Risk Factors

Variable

Category

Total Patients (N)

ADR Present (n)

ADR (%)

p-value

TB Site

Pulmonary TB

328

100

30.5%

0.784

 

Extra-pulmonary TB

66

19

28.8%

 

Drug Resistance Status

Drug-sensitive TB

344

88

25.6%

<0.001

 

Drug-resistant TB

50

31

62.0%

 

Diabetes Mellitus Status

No diabetes

338

102

30.2%

0.978

 

Diabetes present

56

17

30.4%

 

Alcohol Use

No

268

86

32.1%

0.234

 

Yes

126

33

26.2%

 

Smoking Status

Non-smoker

260

76

29.2%

0.558

 

Smoker

134

43

32.1%

 

 

Table 7 : Severity Distribution of Adverse Drug Reactions According to Modified Hartwig and Siegel Severity Scale (n = 119)

Severity Category

Number of Patients (n)

Percentage (%)

Mild

63

52.9%

Moderate

46

38.7%

Severe

10

8.4%

 

Table 8 : Association of ADR Occurrence and Severity with Prescription Adherence among TB Patients on ATT

Variable

Category

Good Adherence n (%)

Poor Adherence n (%)

Total

Statistical Significance

ADR Status

ADR (–)

241 (87.6%)

34 (12.4%)

275

χ² = 9.153, p = 0.0025

 

ADR (+)

89 (74.8%)

30 (25.2%)

119

OR = 2.39 (95% CI: 1.38–4.13)

ADR Severity

Mild

47 (74.6%)

16 (25.4%)

63

χ² = 0.164, p = 0.921

 

Moderate

35 (76.1%)

11 (23.9%)

46

 
 

Severe

7 (70.0%)

3 (30.0%)

10

 
 

Total

89 (74.8%)

30 (25.2%)

119

 

 

Table 9: Association between ADR Occurrence and Subtype of Poor Adherence (n = 64)

ADR Status

Intentional Poor Adherence n (%)

Unintentional Poor Adherence n (%)

Total

Statistical Significance

ADR (+)

20 (66.7%)

10 (33.3%)

30

χ² = 12.46, p = 0.0004

ADR (–)

9 (26.5%)

25 (73.5%)

34

 

Total

29 (45.3%)

35 (54.7%)

64

 

 

Table 10: Association between ADR Status and Treatment Outcomes among TB Patients on ATT (n = 394)

Variable

Category

ADR (–) n (%) (n = 275)

ADR (+) n (%) (n = 119)

Total (n)

Statistical Significance

Binary Treatment Outcome

Treatment success

209 (76.0%)

78 (65.5%)

287

χ² = 4.075, p = 0.0435

 

Unfavourable outcome

66 (24.0%)

41 (34.5%)

107

OR = 1.66 (95% CI: 1.04–2.66)

Detailed Treatment Outcome Categories

Cure

150 (54.5%)

56 (47.1%)

206

p = 0.343

 

Treatment completed

59 (21.5%)

22 (18.5%)

81

 
 

Lost to follow-up (LTFU)

27 (9.8%)

17 (14.3%)

44

 
 

Failure

17 (6.2%)

10 (8.4%)

27

 
 

Death

9 (3.3%)

8 (6.7%)

17

 
 

Switch of regimen

13 (4.7%)

6 (5.0%)

19

 

 

Table 11: Association of ADR Severity and Prescription Adherence with Treatment Outcome

Variable

Category

Treatment Success n (%)

Unfavourable Outcome n (%)

Total

Statistical Significance

ADR Severity among ADR-positive Patients (n = 119)

Mild

45 (71.4%)

18 (28.6%)

63

χ² = 1.31, p = 0.518

 

Moderate

29 (63.0%)

17 (37.0%)

46

 
 

Severe

6 (60.0%)

4 (40.0%)

10

 
 

Total

80 (67.2%)

39 (32.8%)

119

 

Prescription Adherence (n = 394)

Good adherence

250 (75.8%)

80 (24.2%)

330

χ² = 7.842, p = 0.0051

 

Poor adherence

37 (57.8%)

27 (42.2%)

64

OR = 2.28 (95% CI: 1.31–3.98)

 

DISCUSSION

The present prospective observational study was conducted to evaluate adverse drug reactions associated with anti-tubercular therapy and their impact on prescription adherence and treatment outcomes among tuberculosis patients receiving treatment under the National Tuberculosis Elimination Programme. Tuberculosis remains a significant public health concern in developing countries, where prolonged multidrug therapy, malnutrition, and comorbid conditions contribute substantially to morbidity and treatment-related complications (1,2).

 

In the present study, the mean age of participants was 45.2 ± 14.7 years, with the majority belonging to the 46–60 years age group. Similar findings have been reported in previous studies, where tuberculosis was found to be more common among middle-aged adults, representing the economically productive population group (12). Male predominance was observed in the present cohort, with males constituting 71.3% of participants. This finding is consistent with previous epidemiological studies demonstrating higher tuberculosis prevalence among males, possibly due to occupational exposure, smoking, alcohol consumption, and healthcare-seeking behaviour differences (13).

 

A significant proportion of patients in the present study were underweight, reflecting the close association between tuberculosis and undernutrition. Malnutrition impairs host immunity and increases susceptibility to active tuberculosis, while TB itself contributes to weight loss and nutritional deficiency (14). The coexistence of undernutrition and tuberculosis may also increase vulnerability to adverse drug reactions and poor treatment outcomes.

 

Pulmonary tuberculosis constituted the majority of cases in the study, which is comparable with national and international epidemiological trends (2,3). Drug-sensitive tuberculosis represented the predominant category, while drug-resistant tuberculosis accounted for a smaller but clinically important proportion of patients. Drug-resistant TB remains a major challenge because of prolonged therapy duration, increased toxicity, and reduced treatment success rates (8).

 

The overall proportion of ADRs observed in the present study was 30.2%, which is comparable to findings reported in previous Indian and international studies evaluating ADRs during anti-tubercular therapy (15,16). Differences in ADR frequency among studies may be due to variations in patient characteristics, treatment regimens, nutritional status, and methods of ADR monitoring. Hepatic toxicity was the most common ADR observed in the present study, followed by gastrointestinal adverse effects, arthralgia, and ocular toxicity. Similar findings have been documented in earlier studies where hepatotoxicity was identified as the most frequent and clinically significant adverse effect associated with ATT (7,17).

 

The high frequency of hepatotoxicity may be attributed to the combined hepatotoxic potential of isoniazid, rifampicin, and pyrazinamide. Gastrointestinal symptoms such as nausea, vomiting, abdominal discomfort, and anorexia were also commonly reported and may significantly compromise patient compliance with prolonged treatment (6). Arthralgia observed in the study is likely attributable to pyrazinamide-induced hyperuricemia, while ocular toxicity may be related to ethambutol administration.

 

Most ADRs in the present study were mild to moderate in severity according to the Modified Hartwig and Siegel Severity Scale, whereas severe ADRs constituted only a small proportion of cases. Similar severity patterns have been reported in previous pharmacovigilance studies on ATT (18). This finding suggests that the majority of ADRs can be effectively managed through early recognition, counselling, symptomatic treatment, and close monitoring without permanent discontinuation of therapy.

 

No statistically significant association was observed between ADR occurrence and age, gender, BMI, diabetes mellitus, smoking, alcohol use, or site of tuberculosis. However, ADR occurrence was significantly higher among patients with drug-resistant tuberculosis. This finding is expected because drug-resistant TB treatment regimens involve prolonged administration of second-line drugs with greater toxicity profiles and higher pill burden (8).

 

An important finding of the present study was the significant association between ADR occurrence and poor prescription adherence. Patients who developed ADRs had significantly higher odds of poor adherence compared to those without ADRs. Similar observations have been reported in previous studies where ADRs were identified as one of the strongest predictors of treatment interruption and non-compliance (10,19). Intentional non-adherence was substantially more common among ADR-positive patients, indicating that treatment-related discomfort directly influences patient behaviour and continuation of therapy.

 

The present study also demonstrated a significant association between ADR occurrence and unfavourable treatment outcomes. Patients experiencing ADRs had higher proportions of treatment failure, death, loss to follow-up, and regimen switching compared to ADR-negative patients. Although the detailed treatment outcome distribution did not achieve statistical significance, binary outcome analysis revealed a meaningful association between ADRs and unfavourable outcomes. These findings indicate that ADRs may negatively affect treatment success through interruption of therapy, poor adherence, and treatment modifications.

 

Furthermore, poor adherence itself was significantly associated with unfavourable treatment outcomes. Patients with poor adherence had more than two-fold higher odds of unfavourable outcomes compared to adherent patients. Inadequate adherence during anti-tubercular therapy is a well-recognised contributor to treatment failure, relapse, and emergence of drug-resistant tuberculosis (9,20).

 

Although increasing ADR severity showed a trend toward progressively higher unfavourable outcomes, the association did not reach statistical significance. This may be due to the relatively small number of severe ADR cases included in the study. Nevertheless, severe ADRs may still have important clinical implications because they frequently necessitate hospitalisation, treatment interruption, or modification of anti-tubercular regimens.

 

The present study has several strengths, including its prospective design, systematic follow-up, and simultaneous evaluation of ADRs, adherence, and treatment outcomes under real-world programmatic conditions. However, certain limitations should be acknowledged. Being a single-centre study, the generalizability of findings may be limited. Some mild ADRs may have remained underreported, and adherence assessment partly relied on self-reporting, which may introduce reporting bias.

 

Overall, the findings of the present study highlight the importance of active pharmacovigilance and regular patient monitoring during anti-tubercular therapy. Early identification and prompt management of ADRs may improve treatment adherence and optimise therapeutic outcomes. Strengthening patient counselling, nutritional support, and individualised management strategies may further reduce treatment interruptions and contribute to successful tuberculosis control under the National Tuberculosis Elimination Programme.

 

CONCLUSION

Adverse drug reactions were observed in 30.2% of tuberculosis patients receiving anti-tubercular therapy under the National Tuberculosis Elimination Programme. Hepatic toxicity was the most common ADR, and most reactions were mild to moderate in severity. Drug-resistant tuberculosis patients showed significantly higher ADR occurrence.

 

ADRs were significantly associated with poor prescription adherence and unfavourable treatment outcomes. Poor adherence itself was also strongly associated with reduced treatment success. These findings highlight the importance of early detection and management of ADRs, regular patient counselling, and adherence monitoring to improve treatment outcomes in tuberculosis patients receiving ATT under NTEP.

 

REFERENCES

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  11. World Health Organization. Companion Handbook to WHO Guidelines for Programmatic Management of Drug-Resistant Tuberculosis. Geneva: WHO; 2014.
  12. Chadha VK. Tuberculosis epidemiology in India: a review. Int J Tuberc Lung Dis. 2005;9(10):1072-1082.
  13. Horton KC, MacPherson P, Houben RM, et al. Sex differences in tuberculosis burden. BMC Med. 2016;14:56.
  14. Cegielski JP, McMurray DN. Relationship between malnutrition and tuberculosis. Int J Tuberc Lung Dis. 2004;8(3):286-298.
  15. Mate S, et al. Study of adverse drug reactions in tuberculosis patients on ATT. Int J Basic Clin Pharmacol. 2015.
  16. Farazi A, Sofian M, Jabbariasl M, et al. Adverse reactions to antituberculosis drugs. Tuberc Res Treat. 2014.
  17. Sharma SK, Mohan A. Antituberculosis treatment-induced hepatotoxicity. Respirology. 2005;10(5):550-557.
  18. Tak DK, Acharya LD, Gowrinath K, et al. Safety evaluation of antitubercular therapy under DOTS. J Clin Diagn Res. 2009;3:1395-1401.
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