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Adverse Drug Reactions due to Antitubercular Therapy in Multidrug-Resistant Tuberculosis in Meghalaya, India

*Corresponding author: Reuben Process Syiem, Department of Pharmacology, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, Meghalaya, India. reubenpsyiem@gmail.com
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Received: ,
Accepted: ,
How to cite this article: Sarkar C, Syiem RP, Wahlang JB, Surong M, Brahma D, Waanbah B. Adverse Drug Reactions due to Antitubercular Therapy in Multidrug-Resistant Tuberculosis in Meghalaya, India. Glob J Med Pharm Biomed Update. 2025;20:14. doi: 10.25259/GJMPBU_21_2025
Abstract
Objectives:
Multidrug-resistant tuberculosis (MDR-TB) is typically defined as TB caused by organisms resistant to rifampicin and isoniazid. Due to the extended course of treatment and frequent use of second-line medications, adverse drug reactions (ADRs) are the most important clinical problems in MDR-TB. To avoid therapeutic failure, physicians must promptly detect and treat ADRs to second-line antitubercular therapy to improve patient compliance. The aim of this study was to assess the various types of ADRs related to MDR-TB therapy.
Material and Methods:
A prospective, observational study was conducted among MDR-TB patients admitted during the period of April 2018 toDecember 2018. All eligible patients participated in the study once institutional ethics approved it. A pre-structured pro forma form was used to gather baseline and patient-specific information. The ADR reporting form was completed with all pertinent data pertaining to ADRs. Data collected from standard pro forma were entered and analyzed using Microsoft Excel.
Results:
Among the patients, 62% were male, and 38% were female. There were 54 recorded ADRs, with a greater percentage of females (57%). ADRs related to the gastrointestinal tract (vomiting and nausea) accounted for 33% of cases, with diarrhea coming in second at 6% and psychiatric disorders at 6%. While 69% of the ADRs were classified as “mild-level 1,” the majority (65%) were classified as “possible.” In addition, it was discovered that 42.8% of ADR patients needed their medication to be stopped or their course of therapy to be changed.
Conclusion:
Aggressive and proactive management of ADRs and infection control are all necessary to improve outcomes in MDR-TB.
Keywords
Adverse drug reactions
DOTS plus
Multidrug-resistant tuberculosis
INTRODUCTION
The standard term for tuberculosis (TB) produced by organisms resistant to at least isoniazid and rifampicin, the two most effective anti-TB drugs, is multidrug-resistant TB (MDR-TB).[1] The two categories for MDR TB are either second-line injectable drugs or MDR/rifampicin resistance (RR) + fluoroquinolone resistance, according the guidelines for the programmatic management of drug-resistant tuberculosis. The first national anti-TB drug resistance study found that 6.19% of TB patients had MDR-TB (2.84% among new and 11.62% among previously treated [PT]), and 28% of TB patients were resistant to all forms of treatment (22% among new and 36.82% among PT).[2] Moreover, the main cause of RR-TB is isoniazid (H) resistance (16% overall, 11.6% in new cases, and 25% in PT). The usage of second-line antitubercular drugs, which are frequently required to treat MDR-TB, may be to blame for the rising incidence of resistance. Consequently, these drugs that need to be taken for a long time, are hazardous, and expensive.[2]
“A response which is noxious and unintended, and which occurs at doses normally used in humans for the prophylaxis, diagnosis, or therapy of disease, or for the modification of physiological function” is the definition of an adverse drug reaction (ADR) provided by the World Health Organization (WHO).[3] ADRs are increasing among MDR-TB patients in India.[4] Therefore, doctors should identify and treat ADR to second-line antitubercular therapy as soon as possible to avoid treatment failure. Better treatment outcomes and patient compliance are guaranteed by this approach. Although ADRs among MDR-TB patients have been reported in various parts of India, there is a lack of region-specific data from Meghalaya and the Northeastern states. National data on ADRs in MDR-TB patients often lack region-specific details, which may overlook local variations in ADR patterns due to differences in genetic, nutritional, and healthcare factors. In addition, limited pharmacovigilance awareness and underreporting hinder a clear understanding of the ADR burden and its impact on treatment adherence in this region. Identifying the profile and frequency of ADRs among MDRTB patients in Meghalaya is essential for timely management, improving treatment outcomes, and strengthening the local TB control program. Therefore, this study was undertaken to systematically evaluate the types, frequencies, and management of ADRs associated with MDR-TB therapy in patients attending a tertiary care center in Meghalaya.
MATERIAL AND METHODS
Study design and setting
A prospective, observational study was conducted among MDR-TB patients admitted during the period of April 2018 toDecember 2018 in the District TB Center.
Study population
Patients diagnosed as MDR-TB and enrolled for treatment at the District TB Center.
Ethical considerations
The Institutional Ethics Committee permission was obtained.
Inclusion criteria
All registered MDR-TB cases were included
MDR-TB patients with suspected ADRs
Patients aged 18 years and above.
Exclusion criteria
TB cases other than MDR were excluded from the study
Pregnant women
HIV-positive individuals
Patients having concurrent major cardiac, renal, hepatic, and/or psychiatric illness.
Data collection technique
Following approval from the Institutional Ethics Committee, a prospective observational study was conducted at the District TB Hospital from April 2018 to December 2018. All consenting adult patients diagnosed with MDR-TB and initiated on treatment during the study period were included in the study. Patients with incomplete treatment records or those unwilling to participate were excluded from the study. Baseline demographic and clinical details, including age, gender, weight, and comorbidities, were collected using a pre-designed structured pro forma at the time of treatment initiation. Patients were followed prospectively during their hospital stay and subsequent outpatient visits, with monthly monitoring for 6 months for any suspected ADRs.
ADR data were captured using an ADR reporting form, documenting details on the onset of the reaction, suspected drug, dosage, frequency, management strategies, and treatment outcomes. Active data collection techniques included direct patient interviews, clinical examination, review of patient treatment charts, and laboratory investigations (if required) to confirm suspected ADRs.
The Naranjo ADR Probability Scale was applied to assess the causality of reported ADRs, categorizing them as definite, probable, possible, or doubtful. The Modified Hartwig and Siegel severity scale was used to grade the severity of each ADR. ADRs were further analyzed to determine whether they resulted in dose modification, temporary interruption, or permanent discontinuation of the offending drug. Data were entered and analyzed using Microsoft Excel with descriptive statistics presented as frequencies and percentages.
Statistical analysis
Data were analyzed using Microsoft Excel and expressed using descriptive statistics. Categorical variables were presented as frequencies and percentages.
RESULTS
The study included 120 participants over its duration. Figure 1 depicts the patient distribution by gender throughout the course of the study. The majority of patients (62%) were male, with females accounting for 38%. The age distribution indicated in Table 1 shows that most patients (66%) were between the ages of 21 and 40 years, with the other patients aged between 41 and 60 years (28%).

- Gender distribution of patients.
| Age (in years) | Frequency (n) | Percentage |
|---|---|---|
| 0–20 | - | - |
| 21–40 | 79 | 66 |
| 41–60 | 34 | 28 |
| >60 | 7 | 6 |
In the present study, 54 ADRs were documented. Females had a higher incidence (57%) than males (43%) [Figure 2]. The majority of ADRs (33%) were gastrointestinal (nausea and vomiting). This was followed by diarrhea (6%), then psychosis (6%). In 7 of 18 instances (13.33%), isoniazid was suspected to be the cause of gastrointestinal problems. The medicine was withdrawn in three patients after they complained of severe nausea and vomiting on many occasions. The distribution and characteristics of other adverse medication events are shown in Table 2.

- Gender distribution of patients with adverse drug reaction. ADR: Adverse drug reactions.
| ADRs | Incidence (%) | Days of treatment at presentation (median days) | Change in regimen due to ADR (n) | Suspected drug | Permanent discontinuation of drug due to ADR (%) |
|---|---|---|---|---|---|
| Gastrointestinal (nausea and vomiting) | 18 (33) | 90 | 3 | 7 (isoniazid) 4 (ethambutol) 4 (pyrazinamide) 3 (ethionamide) |
3 |
| Diarrhea | 6 (11) | 30 | 0 | 2 (ethionamide) 3 (pyrazinamide) 1 (ethambutol) |
0 |
| Hearing loss | 6 (11) | 70 | 2 | 6 (kanamycin) | 2 |
| Weakness | 4 (7) | 80 | 0 | 2 (kanamycin) 1 (isoniazid) 1 (rifampicin) |
0 |
| Psychotic symptoms | 6 (11) | 60 | 2 | 5 (cycloserine) 1(ethambutol) |
2 |
| Corrected QT interval | 2 (3.7) | 90 | 1 | 1 (clofazimine) 1 (linezolid) |
1 |
| Altered consciousness | 2 (3.7) | 68 | 1 | 2 (ethionamide) | 1 |
| Headache | 5 (9.2) | 60–90 days | 0 | 1 (levofloxacin) 4 (cycloserine) |
0 |
| Jaundice | 1 (1.8) | 30 | 0 | 1 (pyrazinamide) | 0 |
| Weight gain | 2 (3.7) | 64 | 0 | 2 (kanamycin) | 0 |
| Peripheral Neuropathy | (1.8) | 84 | 0 | 1 (isoniazid) | 0 |
| Insomnia | 1 (1.8) | 36 | 0 | 1 (levofloxacin) | 0 |
ADRs: Adverse drug reactions
The causality assessment of the ADRs reported in the study was done using the Naranjo ADR Probability Scale. The “possible” category accounted for the majority of ADRs (65%), while the “probable category” comprised 35%. The causality assessment for the ADRs is shown in Table 3. The majority of ADRs reported throughout the study were found to be mild, or level 1 (68.5%), followed by moderate, or level 3 (18.51%). Severe ADRs accounted for 1.8% (category 6). The Modified Hartwig and Siegel scale was used to determine the severity of ADRs, as shown in Table 4.
| ADR (54) | Certain | Probable | Possible |
|---|---|---|---|
| Gastrointestinal (nausea and vomiting) | - | 3 | 15 |
| Diarrhea | - | - | 6 |
| Hearing loss | - | 6 | - |
| Weakness | - | - | 4 |
| Psychosis | - | 4 | 2 |
| QT interval prolongation | - | 1 | 1 |
| Altered consciousness | - | - | 2 |
| Headache | - | 1 | 4 |
| Jaundice | - | 1 | - |
| Weight gain | - | 1 | 1 |
| Peripheral neuropathy | - | 1 | - |
| Insomnia | - | 1 | - |
| Total (%) | 19 (35) | 35 (65) |
ADR: Adverse drug reaction
| ADR (54) | Mild (level 1) | Mild (level 2) | Moderate (level 3) | Moderate (level 4) | Severe (level 5) | Severe (level 6) | Severe (level 7) |
|---|---|---|---|---|---|---|---|
| Gastrointestinal (nausea and vomiting) | 16 | 2 | - | ||||
| Diarrhea | 6 | - | |||||
| Hearing loss | 3 | 2 | - | 1 | |||
| Weakness | 4 | - | |||||
| Psychosis | 4 | - | 2 | - | |||
| QT interval prolongation | - | 2 | - | ||||
| Altered consciousness | 1 | 1 | - | ||||
| Headache | 4 | 1 | - | ||||
| Jaundice | - | 1 | - | ||||
| Weight gain | 2 | - | - | ||||
| Peripheral neuropathy | 1 | - | - | ||||
| Insomnia | - | 1 | - | ||||
| Total (%) | 37 (68.5) | 4 (7.4) | 10 (18.51) | 2 (3.7) | 1 (1.8) |
ADR: Adverse drug reaction
DISCUSSION
There was a male preponderance among the 120 MDRTB patients included in the study, with 62% of them being male and 38% being female. This is explained by differences in male and female immunological sensitivity to certain diseases, as well as social and cultural factors that raise the risk of coming into contact with infectious cases.[5] Ahmed et al. and Fatima et al. reported similar outcomes.[6,7] The age range of the majority of patients (66%) is regarded as economically productive, spanning from 21 to 40 year. Due to financial responsibilities, exposure to resistant strains in the environment, and an increased risk of addictions such as alcoholism, smoking, and psychological stress, all of which lower immunity, this age group is particularly vulnerable.[8] The study conclusions were at odds with those of Dela et al. and Fatima et al., who observed similar outcomes.[7,9] Both the kidney and the liver capacity to eliminate pharmaceuticals from the body decreases with age. The liver capacity to metabolize several medications also decreases. Malnutrition and dehydration are two conditions that often worsen these age-related problems and become increasingly common as people age.[9]
The present study included 21 participants who reported a total of 54 ADRs, indicating that each patient experienced several ADRs. A real-time spontaneous reporting technique was employed by physicians to record ADRs in research conducted by Shinde et al.[10] However, the present study only included patients who had reported ADRs and were hospitalized with MDR-TB. There might have been cases of underreporting ADRs as a result. The most frequent ADR was gastrointestinal discomfort (33%), which was followed by psychosis (11%), headaches (11%), and ototoxicity (11%). According to Hire et al., hepatotoxicity (3.6%), psychosis (4.5%), and G.I.T. symptoms (30%) were the most common ADRs.[11] According to Wu et al., gastrointestinal problems (32.1%), ototoxicity (14.6%), psychosis (13.2%), and arthralgia (8.1%) were the four most common ADRs.[12] The most frequent ADRs in the GI system were nausea and vomiting (33%), which had mild-to-moderate intensity and began 1–3 months after treatment. In seven of the 18 cases (13.33%), isoniazid was the suspected drug. Three patients had their medications stopped due to frequent complaints of acute nausea and vomiting. The majority of patients with diarrhea (11%), who were suspected of taking medications, took pyrazinamide (3), ethionamide (2), and ethambutol (1). On the severity scale, the suspected ADR was classified as “mild” (level 1) and patients received symptom-focused care.
Psychiatric symptoms (11%), including hallucinations, anxiety, depression, euphoria, and behavioral issues, were also reported. Cycloserine was the suspected drug in most patients who experienced psychiatric adverse drug responses. The medication was discontinued in two patients who had significant (level 4) ADR. Reduced gamma-aminobutyric acid synthesis in the central nervous system (CNS) due to glutamic decarboxylase inhibition is most likely the cause of cycloserine-associated neurotoxicity.[13] When the medicine was stopped, the majority of patients showed a quick recovery of psychological state and showed no recurrence of symptoms. In this study, psychological concerns surfaced during the first 2 months of treatment. When used with ethambutol, supratherapeutic dosages of cycloserine also seem to raise the risk of CNS damage.[14] Psychosocial variables, in addition to drug toxicity, play a role in psychological issues during MDR-TB treatment and, as a result, in patients’ compliance with treatment plans.[15] In MDR-TB patients, QT interval prolongation (3.7%) was also noted. The most often suspected drugs among study participants with QT prolongation were clofazimine and linezolid. The drugs were causing moderate level 3 QT prolongation in two individuals, and their further use was stopped. Possible pharmacological interactions with other drugs that increase corrected QT interval prolonging effects may be associated with an increased risk of ADRs with these drugs.[16] One of the most reported irreversible ADRs in MDR patients is ototoxicity. Six (11%) participants in the study experienced ototoxicity, with kanamycin being the offending medication. After receiving therapy for 2–3 months, the patients reported mild-to-severe hearing loss. The two patients in the present study had ADRs that were categorized as “severe” (level 6 on the severity scale). Consequently, those people had to stop taking their medication. The WHO medication class has removed capreomycin and kanamycin due to their subpar therapeutic outcomes. According to Lan et al., ADRs were associated with kanamycin, capreomycin, and amikacin in 7.5%, 8.2%, and 10.2% of cases, respectively.[17] Capreomycin was more nephrotoxic than kanamycin or amikacin and was also more likely to produce ototoxicity.[17] One patient experienced peripheral neuropathy, jaundice, and insomnia during the study; none of these side events necessitated altering the prescribed course of care. One to three months following the start of therapy, each of these ADRs was recorded. The Naranjo ADR Probability Scale was used to determine the causality assessment of ADRs. It was revealed that 65% of the ADRs were “possible” and 35% were “probable.” ADRs were suspected in 35/54 cases (65%). The remaining ADRs were assessed as probable. Dela et al. discovered that 4.79% were “certain,” 13.69% were “probable,” and 81.95% of ADRs were “possible.”[9] In this study, severity was determined using the Modified Hartwig and Siegel scale. The most reported ADR was “mild-level 1” (68.5%), followed by “moderate-level 3” (18.5%). About 1.8% of reported ADRs were classified as “severe-level 6.” Dela et al. found that 77.3% of ADRs were mild-to-moderate, while 22.7% were severe.[9] A study done by Hoa et al. showed that mild-to-moderate ADRs were 58% and those that were severe occurred in 17.73% of cases.[18]
ADRs among MDR-TB patients were most common in the first 3 months after starting MDR-TB treatment. These were followed by 29.5% in the 4–6 month period and 9.1% in the 7–9 month period. Similarly, most ADRs in a study led by Avong et al. developed after 1–2 months of medication and disappeared after 1 month of therapy.[19] The majority of adverse reactions happened in the 2nd and 4th months after beginning MDR-TB medication, according to Isaakidis et al.[20] Nine out of the twenty-one participants in this study (42.8%) had to stop taking the drug in question and switch their medication. In comparison, 56.3% (45/80) of patients experienced ADRs in a study conducted by Baghaei et al. Of these patients, 21.2% found it necessary todiscontinue the medication.[21]
Limitations
There is a chance of reporting bias because some ADRs, such as nausea, vomiting, and numbness, were reported by patients in an arbitrary manner. The fact that the few ADRs were documented based on clinical evaluations as opposed to laboratory standards was an additional drawback. They were therefore highly arbitrary. Determining whether an effect is related to the TB medication or the disease itself presents another challenge when documenting ADRs.
CONCLUSION
This study highlights the high rate of ADRs in MDR-TB treatment, impacting adherence and outcomes. Physicians should monitor patients closely for ADRs and manage them promptly to prevent treatment interruptions. For policymakers, the findings stress the need to strengthen ADR reporting and management within TB programs to improve MDR-TB treatment success in the region.
Ethical approval:
The research/study approved by the Institutional Review Board at Institution Ethics Committee, Neigrihms, number P4/17/04, dated 22nd September 2017.
Declaration of patient consent:
The authors certify that they have obtained all appropriate patient consent.
Conflicts of interest:
There are no conflicts of interest.
Use of artificial intelligence (AI)-assisted technology for manuscript preparation:
The authors confirm that there was no use of artificial intelligence (AI)-assisted technology for assisting in the writing or editing of the manuscript and no images were manipulated using AI.
Financial support and sponsorship: Nil.
References
- Multidrug and Extensively Drug-Resistant TB (M/XDR-TB): 2010 Global Report on Surveillance and Response. 2010. Geneva: WHO; Available from: https://www.whqlibdoc.who.int/publications/2010/9789241599191-eng.pdf [Last assessed on 2016 Mar 25]
- [Google Scholar]
- Central TB Division Directorate General of Health Services Ministry of Health and Family Welfare. 2017. TB India 2017 New Delhi. Available from: https://tbcindia.gov.in/writereaddata/tb%20india%202017.pdf [Last accessed on 2025 Mar 05]
- [Google Scholar]
- System of Adverse Drug Reactions Reporting: What, Where, How, and Whom to Report? Indian J Crit Care Med. 2015;19:564-6.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Drug Reaction and Causality Assessment Scales. Lung India. 2011;28:152-3.
- [CrossRef] [PubMed] [Google Scholar]
- Frequency and Type of Adverse Drug Reactions Related to Multidrug-Resistant Tuberculosis Therapy. Int J Adv Med. 2021;8:1086-91.
- [CrossRef] [Google Scholar]
- Ambispective Study of Adverse Drug Reactions in Multi-Drug Resistant Tuberculosis Patients in Warangal, Telangana. Lung India. 2021;38:330-7.
- [CrossRef] [PubMed] [Google Scholar]
- Tuberculosis and other mycobacterial disease In: Cook G, ed. Manson's Tropical Diseases. London: W. B. Saunders; 1996. p. :971-1015.
- [Google Scholar]
- Adverse Drug Reactions and Treatment Outcome Analysis of DOTS-Plus Therapy of MDR-TB Patients at District Tuberculosis Centre: A Four Year Retrospective Study. Lung India. 2017;34:522-6.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Reactions to First-Line Anti-Tuberculous Agents in Hospitalised Patients: Pattern, Causality, Severity and Risk Factors. Ind J Med Spec. 2013;4:1-4.
- [CrossRef] [Google Scholar]
- A Prospective, Observational Study of Adverse Reactions to Drug Regimen for Multi-Drug Resistant Pulmonary Tuberculosis in Central India. Mediterr J Hematol Infect Dis. 2014;6:e20114061.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Events Associated with the Treatment of Multidrug-Resistant Tuberculosis: A Systematic Review and Meta-analysis. Am J Ther. 2016;23:e521-30.
- [CrossRef] [PubMed] [Google Scholar]
- Martindale: The Complete Drug Reference (33rd ed). London, UK: Pharmaceutical Press; 2002.
- [Google Scholar]
- WHO Consolidated Guidelines on Drug-Resistant Tuberculosis Treatment. 2020. World Health Organization. Available from: https://www.who.int/tb/publications/2019/consolidated-guidelinesdrug-resistant-tb-treatment/en [Last accessed on 2020 Jul 28]
- [Google Scholar]
- Drug-Associated Adverse Events in the Treatment of Multidrug-Resistant Tuberculosis: An Individual Patient Data Meta-Analysis. Lancet Respir Med. 2020;8:383-94.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Events in the Treatment of MDR-TB Patients within and Outside the NTP in Pham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam. BMC Res Notes. 2015;8:809.
- [CrossRef] [PubMed] [Google Scholar]
- Doing No Harm? Adverse Events in a Nation-Wide Cohort of Patients with Multidrug-Resistant Tuberculosis in Nigeria. PLoS One. 2015;10:e0120161.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Events Among HIV/MDR-TB co-Infected Patients Receiving Antiretroviral and Second Line Anti-TB Treatment in Mumbai, India. PLoS One. 2012;7:e40781.
- [CrossRef] [PubMed] [Google Scholar]
- Adverse Effects of Multidrug-Resistant Tuberculosis Treatment with a Standardized Regimen: A Report from Iran. Am J Ther. 2011;18:e29-34.
- [CrossRef] [PubMed] [Google Scholar]

