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A Study of Adverse Drug Reactions in Tuberculosis Patients in a Tertiary Care Hospital
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International Journal of Medical Research & Health Sciences (IJMRHS)
ISSN: 2319-5886 Indexed in: ESCI (Thomson Reuters)

Research - International Journal of Medical Research & Health Sciences ( 2022) Volume 11, Issue 7

A Study of Adverse Drug Reactions in Tuberculosis Patients in a Tertiary Care Hospital

Shilpa Todkar* and Smita Tiwari
 
Department of Pharmacology Government Medical College and General Hospital, Baramati, India
 
*Corresponding Author:
Shilpa Todkar, Department of Pharmacology Government Medical College and General Hospital, Baramati, India, Email: shilpatodkar13@gmail.com

Received: 29-Jun-2022, Manuscript No. ijmrhs-22-68036; Editor assigned: 01-Jul-2022, Pre QC No. ijmrhs-22-68036(PQ); Reviewed: 08-Jul-2022, QC No. ijmrhs-22-68036(Q); Revised: 10-Jul-2022, Manuscript No. ijmrhs-22-68036(R); Published: 30-Jul-2022

Abstract

Background: Adverse drug reactions to anti-tubercular drugs cause significant morbidity, mortality, incurring substantial additional costs because of added outpatient visits, tests, and hospitalizations. Objectives: The study was carried out with the objectives of assessing the rate & type of Adverse Drug Reactions (ADRs) & detecting serious and preventable ADRs with a collection of demographic details of patients taking anti-tubercular drugs & developing ADRs. Methods: A Cross-sectional, prospective, observational study was conducted in the department of Chest & TB of tertiary Health care and teaching hospital in both Outpatient Department and Inpatient Department patients for 18 months. 480 patients monitored Results: Among 480 patients 120 i.e. 25% developed ADR. Frequency is significantly higher in males (58%) & adult age group (>18 years) amongst hospitalized compared to outdoor patients with the Gastrointestinal Tract (GIT) (39%) followed by, Generalized body disorders (19%) hepatobiliary system (17%) were organ systems most affected Majority (56%) ADRs reported in 0-2 month of starting therapy (63%) of cases were in “probable according to Naranjo causality assessment (37%) being possible. 55% of ADRs were moderate in severity followed by 36% mild & 9% severe. 30% of ADRs were preventable followed by 20% of probably prevented according to the schumock thronstone preventability scale. Conclusions: The study highlights the importance of routine monitoring and a robust pharmacovigilance system for the success of National Tuberculosis Programmes in India as well as worldwide.

Keywords

Adverse drug reactions, Tuberculosis, Pharmacovigilance

INTRODUCTION

Tuberculosis is an infectious disease caused by Mycobacterium tuberculosis; it is the most rambling communicable infectious disease on earth and remains out of control in many developing countries. It is the single most common cause of death in individuals aged 15 years to 49 years. India features among the 22 high TB burden countries and has accounted for an estimated one-quarter (26%) of all TB cases worldwide. Pulmonary tuberculosis is the most common presentation. Good bacteriological diagnosis and compliance with treatment are the two core stakes of successful treatment of pulmonary tuberculosis [1-3].

To strengthen the efforts to control TB, the Government of India introduced the Revised National Tuberculosis Control Program (RNTCP) in 1993, which implemented DOTS. One of the key components of DOTS therapy is the standard anti-TB short course chemotherapy regimen, which requires continually taking drug combinations for 6 months to 9 months. Despite all these initiatives and positive therapeutic effects, studies have shown that utilization of multidrug regimens can cause undesirable Adverse Drug Reactions (ADRs) of varying degrees of severity. Such as hepatotoxicity, Gastrointestinal (GI) disorders, etc [4-7].

It has achieved the global benchmark of treatment success consecutively for the last 5 years as the prevalence of ADRs observed in various studies conducted worldwide ranged from 8% to 85% and the prevalence of 2.3% to 35% in various Indian studies. Adherence to the long course of TB treatment is intricate, a dynamic phenomenon with a varied range of factors impacting treatment-taking behaviour. Treatment interruption among Tuberculosis (TB) patients and its implications are well known. One of the main reasons for treatment interruption among TB patients is Adverse Drug Reactions (ADRs). Adherence to anti-tubercular treatment is also a major challenge faced by both the policy creators and health authorities [8-10].

According to WHO “an adverse reaction is a response to a drug which is noxious & unintended & which occurs at doses normally used in man for prophylaxis, diagnosis or therapy of a disease or modification of physiological function [11]. It is likely that many of them particularly the avoidable and potentially avoidable ones may be minimized by patient and physician education and better prescribing practices and thus lead to considerable cost savings [2]. Considering adverse reactions to anti-tuberculosis drugs may be related to various factors such as the dose and time of day at which the medication is administered, patient age, nutritional status, the presence of pre-existing diseases or dysfunctions like impaired liver/kidney function, alcohol, etc. National TB programs are generally well structured to monitor patients using standardized indicators, but currently no system of pharmacovigilance to collect information on ADRs directly, treatment interruption & Loss to Follow-Up (LTFU). Once a patient is LTFU, the chances of favourable treatment decline, and the problem multiplies if drug resistance develops [12]. There is a dearth of published literature about anti-TB drug-induced mortality morbidity and reduced quality of life, particularly in low-resource settings. Data regarding ADRs related to anti-tubercular therapy are scant in the local population. [13].

Drug safety has been included in curriculum guidelines for Indian medical undergraduates (MCI Curriculum Guidelines, 1997) but little has been achieved in this regard [14]. Monitoring of adverse drug reactions should be a collaborative activity of both clinicians and pharmacologists. At present, in India, pharmacologists usually do it with or without the involvement of clinicians [2]. Physicians, however, continue to play a meaningful role in the entire monitoring process, as the cooperation of clinicians is needed to have access to patient data and interpretation of the reports of suspected adverse drug reactions Pharmacovigilance needs to be an integral accompaniment to treatment programs as they expand their geographical coverage, given that the frequency and expression of ADRs may be influenced by factors linked to the demographic, genetic and nutritional patterns, and the background comorbidity in a population [2].

Objectives

• To study adverse drug reactions in tuberculosis patients in a tertiary care hospital.

• Detecting, severe and preventable recognized ADR.

Methods

Study Design

Inclusion Criteria

This was a cross-sectional, prospective, observational study of adverse drug reactions in tuberculosis patients that was conducted in the Department of Chest &TB of tertiary health care and teaching hospital in both IPD & OPD patients Data was collected for over 18 months from December 2016 to July 2018.

Sample Size=4PQ/L (Sample size calculated by Open Epi software with (95% CI) (P-Prevalence, Q-(100-P), L (Error Percentage), wherein the prevalence of ADRs due to TB according to previous studies was 2.5% to 33% [8].

Detection and Monitoring were done by interviewing patients and reviewing laboratory tests and medical charts. Consulting with physicians about the patient’s clinical problems. Information regarding ADR was recorded as per the C.R.F (Case Record Form).

Selection Criteria

Inclusion criteria:

• Total 480 IPD & OPD patients of any age & both sex, who was diagnosed with Pulmonary Tuberculosis belonging to CAT-I & CAT-II (RNTCP guidelines 2010) with or without other respiratory co-morbidities taking drugs of Category as per DOTS.

• Willing to be part of the study was included.

Exclusion criteria:

• Patients with a non-pulmonary form of tuberculosis.

• Chronic hepatic illnesses such as cirrhosis, chronic hepatitis, and acute viral hepatitis.

• Patients with TB and HIV on HAART.

Analysis of Data

Hepatitis is defined as increased liver enzymes more than five times the baseline accompanied by clinical symptoms including jaundice, nausea, vomiting, abdominal pain, and anorexia. Hyperuricemia is defined as a Serum Uric Acid (SUA) level greater than 8.0 mg/dL, the approximate level at which urate is supersaturated in plasma.

Naranjo’s algorithm: scale used to assess causality or temporal relation between the adverse event and drug therapy. ADR is assigned to a probability category from the total score as follows Score of 9 or greater-Definite ADR, Score of 5-8-Probable ADR, Score of 1-4-Possible ADR, and Score of 0-Doubtful if the ADR.

Modified Hartwig and Siegel’s Scale: This scale is used to find the severity of ADR; Levels are decided by the answering relevant level of question and categorized as Mild-level 1and level 2, Moderate-level 3 and level 4. Severelevel 5, level 6, level 7.

Shock and Thornton Scale (preventability) Preventability of ADR is categorized as Definitely Preventable, Probably Preventable, and Not Preventable. Any answer of “yes” to any question suggesting ADR as preventable of that category (definitely/ probably) & none of the answers were yes that ADR was classified as not preventable.

ADRs were recorded in standard Central Drugs Standard Control Organisation (CDSCO) suspected adverse drug reaction form.

Data analysis

Data analysis was performed using Microsoft Excel 2013 results were expressed as numbers and percentages. p<0.05 was considered statistically significant.

Results

Demography

Among 480 patients that were observed during the study period, 120 patients developed a total of 122 adverse drug reactions. Demographic data analysis reveals that amongst the 480 patients-120 (25%) developed ADRs during the study. Amongst the 120 patients-70 (58%) were males and the rest were females. Only 15 (12%) belonged to the paediatric (<18yrs) age group and the majority 41% aged 41 years to 60 years. 92 patients (77%) belonged to <50kg weight Category A higher proportion i.e. 95 (79%) of patients were taking the CAT-I regime (Table 1).

Table 1. Distribution of patients according to demography

Category Demography Patients with ADRs (120) Patients without ADRS (-360) Total (480) Range & Mean p-value
Male 70 (58%) 250 (70%) 320 (67%)   **0.025
Female 50 (42%) 110 (30%) 160(33%)    
<18 years 15 (12%) 40 (11%) 55 (22%) 7 Years-70 Years 0.68
>18 years 105 (88%) 320 (89%) 425 (88%) Mean 39.5 ± 15  
<50 kg 92 (77%) 280 (78%) 372 (78%) 13 kg -78 kg 0.802
>50 kg 28 (23%) 80 (22%) 108 (22%) Mean 40.25 ± 14.5  
CAT-I 95 (79%) 265 (73%) 360 (75%)   0.57
CAT-II 25 (21%) 95 (27%) 120 (25%)    
IPD 84 (70%) 170 (47%) 254 (53%)   **<0.0001
OPD 36 (30%) 190 (53%) 226(47%)    
Total 120 (25%) 360 (75%)      
Z test, **p-value<0.05 is significant

Evaluations (Assessments) of ADRs

• Gastrointestinal system (39%) related ADRs were most commonly reported, followed by generalized body reactions (19%) (Fever, weakness, loss of weight, headache, etc.) liver and biliary systems contribute (17%) to ADR reporting (Figure 1). A total of 56% of ADRs like nausea vomiting rash generalized body disorders occurred within 2 months of starting therapy (Table 2 and Table 3). ADRs like hepatitis weight loss and Peripheral neuropathy were observed during 2 months-6 months of therapy initiation and after 6 months, ADRs like peripheral neuropathy and visual & auditory impairment were observed (Table 3) [3,5-7,13].

Ijmrhs-ADRs

Figure 1. Pattern of ADRs depending on the organ system affected

Table 2. Onset of adverse drug reactions

Time of Onset 0 Months-2 Months 2 Months -6 Months >6 Months
<2 Week >2 Week    
% of ADRs  (22) 18% (43) 38% (47) 36% (10) 8%
56% 36% 8%

Table 3. Major 3 ADRs according to the onset of time

0 Month-2 Month 2 Month-6 Month >6 Month
Headache 2 Hepatitis 13 Peripheral neuropathy 3
Rash 6 Peripheral neuropathy 3 Blurred vision 1
Nausea &vomiting 7 Weight loss 5 Auditory problem 1

Causality assessment by Naranjo’s causality assessment questionnaire. The majority of ADRs 77 (63%) were from the Probable category and the second 45 (37%) was from the possible category (Figure 2) As lack of placebo testing, rechallenge and therapeutic drug monitoring or contribution of other reason for ADRs none of ADR was a definite category. Maximum ADRs in the Gastro-Intestinal System contribute to the probable group of Nausea and vomiting (29%) second to that were hepatitis (18%) and Rash (10%) were the most frequent ADRs in the probable group. Anorexia (13%) Nausea and Vomiting (11%) and other generalized body disorders like Headache, and hypotension anaemia were the most frequent ADRs in the possible category (Table 4).

Ijmrhs-assessment

Figure 2. Frequency of ADRs by Naranjoâ??s causality assessment scale

Table 4. Frequency of ADRs (Major 3) Naranjoâ??s causality assessment

Probable group Possible group
ADR Incidence (%) ADR Incidence (%)
Nausea and vomiting 29% Weakness 7%
Hepatitis 18% Hypotension 9%
Rash 10% Nausea and vomiting 11%
Others 42% Others 73%

• 55% of ADRs belong to the moderate category (level 3 and level 4), and 36% of ADRs fall in the mild category (level 1 and level 2) which doesn’t require any special treatment or antidote or to change the current regime but some patients by withholding it (Level 2) for the duration without other changes. Whereas the severe group entails 9% ADRs (Table 5).

Table 5. Frequency of ADRs based on modified Hartwig Severity Scale

Level Frequency Total Severity
Level-1 42 (34%) 36% Mild (36%)
Level-2 2 (2%)
Level-3 42 (34%) 55% Moderate (55%)
Level-4 25 (21%)
Level-5 10 (8%) 9% Severe (9%)
Level-6 1 (1%)

Out of 122 majorities, 62 (50%) ADRs were not preventable. Followed by 36 (30%) preventable and only 24 (20%) were probably preventable (Figure 3).

Ijmrhs-Schumock

Figure 3. Frequency of ADRs based on preventability by Schumock &Thornton scale

Discussion

The incidence of adverse drug reactions among Pulmonary Tuberculosis patients in our hospital during the study period was found to be 25% which is by earlier studies that reported a comparable incidence of 18.20% to 25.01% [15- 17]. Whereas some studies showed a higher incidence of ADRs 48%-80% [18,19]. This divergence can be ascribed to disparities in the study settings and differences in the geographical and physical factors of the sample population. Out of 120 patients, a statistically significant number of ADRs were observed in males (58%) in consonance with other Indian studies due to higher enrolment. Only 12% belonged to the paediatric age group i.e. 18 years due to hurdles in diagnosis & reporting of ADRs in children [17,20]. The highest reporting in the age group 40 years-60 years was in concordance with other Indian studies [15]. The majority of patients having ADRs were <50 kg accordance to an Indian study. About 79% of ADR was reported amongst patients taking the CATI regime which is to another study [21,22]. 70% of the ADR cases were reported from IPD because hospitalized participants were likely to have more complex and serious diseases and were monitored more frequently, thus increasing the chances of discovering ADRs [23]. The majority of ADRs were related to GIT (39%) followed by generalized body disorders (19%), liver and biliary system (17%), and others.

The increased incidence of GI side effects could be attributed to multiple drug therapy as a major predisposing factor for ADRs. Higher rate of ADRs occurrence with intensive phase treatment which matches with another study [24]. Certain ADRs like hepatitis, hyperuricemia and nephrotoxicity neurotoxicity are not recognizable easily by patients and require investigations hence reported in an intermediate period (2 months-6 months).

This observation rings a bell that there is a need for rigorous monitoring for early detection and subsequent prevention of such ADRs that are probably associated with anti-tubercular treatment which were seen to be reported late period >2/6 months. The majority of the reactions were found to be moderate as a proper treatment measure was required even after the suspected drug was held discontinued or changed i.e. antacids, NSAIDS, antibiotics, etc [25]. Contradicting the finding of the present study observed higher reporting of 73% of mild ADRs due to vigilant reporting [23].

Contradictory to reports in literature present shows 50% of ADRs were nonpreventable but the brighter side was that 30% of these reactions were preventable [25]. Noting a detailed history of reaction /known allergy may help reduce them.

In the 33 Cases of ADRS (27%) continues current treatment without any change or any symptomatic treatment similar to the study [26].

Conclusion

The present study highlights differences in ADR reporting based on parameters like sex and age. More males had been enrolled and had reported as compared to the female counterparts ADRs. Similar findings were observed in the age group 40 years-60 years. Who had a higher ADR reporting as compared to the paediatric age group? These observations thereby stress the importance of detecting and identifying Tuberculosis (TB) in the said groups. The most common ADRs were related to the gastrointestinal system but ranged from moderate to severe and therefore need symptomatic treatment. Unlike few ADRs that were of the severe category (e.g. peripheral neuropathy, auditory impairment) but were also probably related to the drug; were reported late after therapy initiation. This indicates that appropriate physical education and early detection or monitoring can play a role in preventing such consequences.

Declarations

Strengths

The study provides an insight into the need for implementation of a robust pharmacovigilance program and appropriate patient counselling that emphasize follow-up visits, which will help in the early identification of ADRs that occur within 2 weeks of initiation of treatment.

Limitation

Association of ADR with risk factors like alcohol, smoking, etc. could not be established due to missing data.

Conflict of Interest

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

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