Research Article | Volume 2 Issue 1 (Jan-June, 2021) | Pages 1 - 5
Side Effect Profiling of Anti-Retroviral (ART) Drugs
 ,
 ,
 ,
1
Junior Resident, Department of Medicine, IGMC, Shimla, India 171001
2
Assistant Professor, Department of Pathology, IGMC, Shimla, India 171001
3
Professor & Head, Department of Medicine, IGMC, Shimla, India 171001
4
Assistant Professor, Department of Medicine, IGMC, Shimla, India 171001
Under a Creative Commons license
Open Access
Received
April 10, 2021
Revised
April 20, 2021
Accepted
April 24, 2021
Published
June 10, 2021
Abstract

Background: There is a growing need to evaluate adverse effects of ART on patients, so it is important to document adverse effects of antiretroviral therapy for early diagnosis, proper management and prevention in future and hence this was planned to study the toxicity profile towards the commonly used first-line antiretroviral drugs. Material & Methods: This study was conducted in a tertiary care hospital of Shimla, Himachal Pradesh from 1st July 2019 to 30th June 2020. All consecutive patients presenting in the ART center of IGMC Shimla were recruited .A detailed history with duration of symptoms was taken and recorded as per the case recording format. The data was entered in Microsoft excel sheet and was analysed using Epi-info software. Results:  There were a total of 103 patients enrolled for the study. There were 56 (54.4%) males and 47 (45.6%) females.18-35 years age group was the most common age group affected with 45 (43.7%) patients in this age group.The most common ADRs were hematological ADRs (46; 44.66%) with 15 cases of anemia, 9 cases of leukopenia, 7 of thrombocytosis and 10 and 5 cases of microcytosis and macrocytosis respectively.There were 27 (26.21%) cases of gastrointestinal ADRs, the most commonly seen ADR in literature, with 15 (14.5%) cases of nausea and 12 (11.65%) cases of gastrointestinal intolerance. Other reported ADRs were rash, headache, neuropathy, and fatigue, and pancreatitis, renal and liver toxicity. Conclusion: Early detection and management of ADRs will reduce the economic burden and improve the medication adherence resulting in better therapeutic outcomes.

Keywords
INTRODUCTION

Acquired immunodeficiency syndrome (AIDS) is one of the most destructive epidemics the world has ever witnessed [1]. HIV infection has been and remains as an important cause for morbidity and mortality throughout the world [2].

 

The incidence of Adverse Drug Reactions (ADRs) among patients on anti-retroviral from both developing and developed countries ranges between 11% and 35.9% [3] & [4] with incidence being as high as 54% [5] coexistent with opportunistic infection. Most of the ADRs are preventable Unfortunately, up to 25% of patients discontinue their initial HAART regimen because of treatment failure (inability to suppress HIV viral replication to below the current limit of detection, 50 copies/mL), toxic effects or noncompliance within the first 8 months of therapy [6].

Many studies have been conducted in Western and African population to study the adverse effect profile to ART, but such studies are scanty in the Indian population. In addition, results from different studies have raised more questions, paving the way for further research in HIV therapeutics in order to optimize treatment with the available resources.

 

There is a growing need to evaluate adverse effects of ART on patients, so it is important to document adverse effects of antiretroviral therapy for early diagnosis, proper management and prevention in future and hence this was planned to study the toxicity profile towards the commonly used first-line antiretroviral drugs (ART).

Aims and Objectives

To evaluate the thyroid dysfunctions in HIV patients, in a tertiary health care centre, Indira Gandhi Medical College Shimla. 

MATERIAL & METHODS

In the prospective study from 1st July 2019 to 30th June 2020, 103 patients registered at ART center Indira Gandhi Medical College hospital were taken up for study.

 

Inclusion Criteria

  • Patients on ART drugs registered to ART centre IGMC SHIMLA

  • Patients aged > 18 years

  • Those that consent to participate in the study.

 

Exclusion Criteria 

  • Age<18y

  • Pregnancy

  • Baseline deranged renal function test, Liver function test, pre-existing anaemia

  • Concomitant Hepatitis B, C & Tuberculosis patients

  • On drugs likely to cause Renal or Hepatic impairment

  • Patient of Alcohol abuse

  • Patient not compliant to ART treatment

  • Patient admitted in ward.

  • Patients not willing to give consent

 

Method of data collection:

All consecutive patients presenting in the ART center of IGMC Shimla were recruited after proper counselling and written informed consent. 

 

A detailed history with duration of symptoms was taken and recorded as per the case recording format. All patients were subjected to detailed clinical examination and relevant laboratory investigations as per Performa. Data was collected from patient case sheet during follow-up at 6 months and also by interviewing the patient directly. Patients were asked to visit the ART Centre if they developed any symptoms or on follow up at 6 months.

 

Statistical Analysis 

The data was entered in Microsoft excel sheet and was analysed using Epi-info software. Descriptive statistical analysis has been carried out in the present study. Results on continuous measurements are presented on Mean ± SD (Min-Max) and results on categorical measurements are presented in Number (%). Chi-square and fisher exact test were used to find the significance of drug induced liver damage for various risk factors. Significance is assessed at 5% level of significance.

RESULTS

This study was conducted in the department of medicine in Indira Gandhi Medical College Shimla, H.P. There were a total of 103 patients who were enrolled in the study after obtaining consent form from patients and ethical approval from institutional ethical committee. 

 

Table 1 shows that there were a total of 103 patients, out of which there were 56 (54.4%) males and 47 (45.6%) females with male to female ratio of 1.19:1. Age group of 18-35 years was the most affected with 45 (43.7%) patients followed by 36-50 years with 42 (40.8%) patients. Most of the males were in age group of 18-35 years i.e 30/56 (53.5%), while females were predominantly in age group of 36-50 years with a count of 23/47 (48.9%) females. Mean age of males was (36.91±10.04 years) lower than that of females (40.17±11.14 years).

 

Table:1 Age & Gender Distribution of Study Participants

Age Group

Male

Female

Total

18-35

30

15

45 (43.7%)

36-50

19

23

42 (40.8%)

51-65

7

8

15 (14.6%)

>66

0

1

1 (1%)

Total  

56

47

103(100%)

 

Table 2 shows that There were 59 (57.3%) patients with normal BMI followed by 20 (19.4%) patients who were overweight. 19 (18.4%) patients had BMI of less than 17.5 i.e. underweight and 5 (4.9%) were obese. In our study, there were 53 (51.5%) patients from rural area and 50 (48.5%) from urban area.

 

Table-2: BMI & Area distribution:

 

Frequency

Percentage

BMI

<17.5

19

18.4

17.5-22.99

59

57.3

23-27.99

20

19.4

>28

5

4.9

Address

Rural

53

51.5

Urban

50

48.5


 

 

Table 3 shows that after enrolment the baseline biochemical parameters of patients were recorded. The haemoglobin of patients at baseline was 13.99±0.93 in males and 13.96±0.97 in females which decreased in both groups to 13.62±0.95 in males and 13.15±1.28 in females. TLC count was increased in males from 6.48±1.65 to 6.59±1.61 while in females it decreased from 6.38±1.46 to 5.89±2.09. Urea, Creatinine, Bilirubin, SGOT, SGPT, ALP and triglyceride levels increased in both groups from baseline levels to levels after 6 months of treatment.

 

Table-3: Laboratory parameters at baseline and at 6th month:

 

 

MALE

FEMALE

P VALUE

Hb

Baseline

13.99±0.93

13.96±0.97

0.876

 6 Months

13.62±0.95

13.15±1.28

0.036

TLC

Baseline

6.48±1.65

6.38±1.46

0.754

 6 Months

6.59±1.61

5.89±2.09

0.058

Platelets

Baseline

213.96±52.55

206.09±59.57

0.477

 6 Months

195.48±52.33

208.91±49.14

0.185

Urea

Baseline

25.34±5.91

24.77±7.64

0.669

 6 Months

29.54±9.36

31.96±12.31

0.260

Creatinine

Baseline

0.72±0.22

0.75±0.22

0.455

 6 Months

0.79±0.29

0.83±0.36

0.464

Bilirubin

Baseline

0.62±0.22

0.62±0.24

0.950

 6 Months

0.97±0.57

0.93±0.56

0.749

SGOT

Baseline

40.89±12.16

41.55±13.97

0.798

 6 Months

57.93±44.26

56.28±31.89

0.831

SGPT

Baseline

42.18±17.98

39.83±17.63

0.507

 6 Months

58.36±41.82

54.11±36.17

0.586

ALP

Baseline

82.34±20.84

94.85±121.03

0.448

 6 Months

85.52±47.84

71.49±37.25

0.105

Trigylceride

Baseline

124±8.34

124.94±10.91

0.623

 6 Months

146.8±24.74

148.28±25.26

0.766

Cholesterol

Baseline

165.23±11.49

163.36±10.87

0.401

 6 Months

164.87±30.48

168.45±36.03

0.589

HDL

Baseline

42.43±2.23

41.11±6.01

0.130

 6 Months

42.36±3.17

41.36±3.07

0.111

LDL

Baseline

98±11.25

97.26±12.55

0.755

 6 Months

93.26±29.37

97.42±34.85

0.514

 

Table 4 shows that 15 patients, 5 males and 10 females reported nausea after treatment while gastrointestinal intolerance was reported by a total of 12 patients with 7 males and 5 females. Rash was reported as ADR by 6 males and 5 females. We observed anemia as a side effect of ART in 8 males and 7 females while leukopenia was observed in 1 male and 8 females. There were 4 cases of renal toxicity with all 4 females. Mixed type and hepatocellular type of liver toxicity was seen in 2 males and 1 female each and transaminitis was observed in 4 males and 2 females. 

 

Table-4: Adverse drug reactions and toxicity

SYSTEM

ADRs

MALE

FEMALE

TOTAL (%)

P VALUE

Gastro Intestinal 

Nausea

5

10

15 (14.56%)

0.077

GI Intolerance

7

5

12 (11.65%)

0.769

Skin & subcutaneous

Rash/ Itching

6

5

11 (10.67)

0.990

CNS

Headache/ Insomnia

3

4

7 (6.8%)

0.526

Neuropathy

2

1

3 (2.91%)

0.664

Others

Fatigue

3

4

7 (6.8%)

0.526

Lipoatrophy

3

2

5 (4.85%)

0.796

Pancreatitis

1

0

1 (0.97%)

0.357

Hematological

Anaemia

8

7

15 (14.56%)

0.931

Leukopenia  

1

8

9 (8.73%)

0.006

Thrombocytopenia 

5

2

7 (6.8%)

0.348

Microcytosis

4

6

10 (9.7%)

0.482

Macrocytosis

2

3

5 (4.85%)

CD4 Count

<50

0

2

2

0.218

51-200

27

18

45

201-350

16

15

31

>350

13

12

25

 

Renal Toxicity

Creatinine

0

4

4 (3.88%)

0.284

Dyslipidemia (LDL/HDL)

Optimal <2.5

31

30

61

0.162

Moderate 2.5-3.3

22

12

34

High>3.3

2

5

7

Liver Toxicity

Mixed

2

1

3

<0.001

Hepatocellular

2

1

3

Transaminitis

4

2

6

Total

 

61

70

131

 

 

Table-5: various lab parameters

 

MALE

FEMALE

TOTAL

P VALUE

SGOT

SGOT  <1.25 UNL

38

26

64 (62.13%)

0.219

SGOT 1.25-2.5 UNL

11

16

27 (26.21%)

SGOT  2.5-5 UNL

5

5

10 (9.7%)

SGOT  5-10 UNL

2

0

2 (1.94%)

SGPT

SGPT  <1.25 UNL

35

28

63 (61.16%)

0.779

SGPT 1.25-2.5 UNL

14

14

28 (27.18%)

SGPT 2.5-5 UNL

6

5

11 (10.67%)

SGPT  5-10 UNL

1

0

1 (0.97%)

ALP level

 

 

 

 

<1.1

48

44

92 (89.32%)

1.1-1.5

4

1

5 (4.85%)

1.6-2.9

4

2

6 (5.82%)

Bilirubin level

 

 

 

0.446

<1.0

44

34

78 (75.72%)

1.0-1.5

6

7

13 (12.62%)

1.5-2.5

3

5

8 (7.76%)

2.5-5

3

1

4 (3.88%)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 5 shows that SGOT was raised by more than 2.5 to 5 times upper normal limit in 5 males and 5 females while it was raised more than 5 times in 2 males only. SGPT was observed to be raised by 2.5 to 5 times in 6 males and 5 females and was raised by more than 5 times in only 1 male with no females with SGPT raised more than 5 times. It was less than 1.25 times in 35 males and 28 females.ALP was raised by more than 1.1 to 1.5 times in 4 and 1 male and female respectively while more than 1.6 times raised values were observed in 4 males and 2 females.Jaundice with bilirubin values more than 2.5 times upper normal limit was seen in 3 males and 1 female and values less than 1 were observed in 44 males and 34 females.

DISCUSSION

This study was conducted in a tertiary care hospital IGMC, Shimla, Himachal Pradesh on adult patients on ART. There were a total of 103 patients with a total of 131 ADRs.  Out of all patients, there were 56 (54.4%) males and 47 (45.6%) females with male to female ratio of 1.19:1. Similarly, Anwikar SR. et al.,(2011) [7] reported that in their study there were 1844 patients, of which 1198 (65%) were male and 646 (35%) were female. In a study by Reddy AK et al., (2013), [4] there were 208 males and 92 females with male to female ratio of 2.26:1. Gabbita P et al.,(2018) [8]  in their study observed that a total of 453 patients were treated by the 1st line antiretroviral TLE regimen of which 211 were male patients, 241 were female patients and 1 transgender patient.

 

Age group of 18-35 years was the most affected with 45 (43.7%) patients followed by 36-50 years with 42 (40.8%) patients. Most of the males were in the age group of 18-35 years i.e 30/56 (53.5%), while females were predominantly in age group of 36-50 years with a count of 23/47 (48.9%) females. Mean age of males was (36.91±10.04 years) lower than that of females (40.17±11.14 years). Similarly, Patel PT et al., (2015)  [3] observed that the most common age group taking ART was less than 35 years with 68 (62.3%) patients and Kumari R et al., (2017) [9] observed that there were 119/280 (42.5%) patients in age group of 18-30 years. 

 

In our study we observed a total of 131 ADRs and out of which 61 ADRs were reported in males and 70 in females. Similarly, in a study by Patel PT et al., (2015) [3], females (60.55%) had higher prevalence of ADRs than males (39.45%). Similar results were found in previous study by Patel NM et al., (2015) [3] females were reported to have higher incidence of ADRs (1.80 ADR per patient, 117/65) than males (1.57 ADR per patient, 157/100). But in study by Kiran Reddy AV et al., (2013) [4] males had higher prevalence of ADRs as compared to female patients. Possible explanation for this gender difference in ADR incidence could be a gender specific difference in in body mass index, fat composition, drug susceptibility, hormonal effects on drug metabolism and elimination, or genetic constitutional differences on the levels of various enzymes although the same has not been proven conclusively [8], [4] & [10]

 

In our study, the most common ADRs were haematological ADRs (46; 44.66%). Out of which there were 15 cases of anemia, 9 cases of leukopenia, 7 of thrombocytosis and 10 and 5 cases of microcytosis and macrocytosis respectively. Gabbita P et al., (2018) [8] reported in their study that the haematological ADRs presented as anemia (31;39.2%) and pancytopenia (1;1.26%). Reddy AK et al., (2013) [4] observed that 15 (9.37%) ADRs were related to haematological system with 8.13% cases with anemia. Kumari R et al.,(2017) [9] observed that blood and lymphatic system associated ADRs included anaemia (52, 22.80%) and pallor (4, 1.75%).

 

In our study, cutaneous ADRs were rash and itching seen in 11 (10.67%) patients. Gabbita P et al., (2018) [8] reported cutaneous ADRs as rash in 30 (37.9%). Reddy AK et al., (2013) [4] reported rash in 8.75% and maculopapular rash in 7.5% cases. Kumari R et al., (2017) [9] reported skin rashes in 18 (7.89%). There were 3 (1.31%) patients who presented with Stevens Johnson Syndrome. 

 

There were 27 (26.21%) cases of gastrointestinal ADRs in our study with 15 (14.5%) cases of nausea and 12 (11.65%) cases of gastrointestinal intolerance. In study by Reddy AK et al., (2013), [4] there were 38 (23.75%) cases of gastrointestinal ADRs. Kumari R et al., (2017) [9] observed 11 (4.82%) cases of abdominal pain, 8 (3.5%) cases of vomiting, 5 (2.19%) cases of diarrhoea and 5 (2.19%) cases of anorexia. There were 3 (1.31%) cases of gastric intolerance in their study. Reddy AK et al., (2013) [4] observed 13.13% cases of gastritis and 6.87% cases of anorexia.

 

We observed a total of 12 (11.65%) cases of hepatitis out of which there were 3 cases each of mixed and hepatocellular liver toxicity and 6 cases of transaminitis. Reddy AK et al., (2013) [4] observed 2 (1.25%) cases of liver ADR while Kumari R et al., (2017) [9] observed 12 (5.26%) cases with raised liver enzymes.

 

In our study there were 5 (4.85%) cases who reported with nephrotoxicity similarly Gabbita P et al., (2018) [9] reported 6 (7.59%) cases with renal failure and 2 (2.53%) cases with acute kidney injury. Nephrotoxicity was observed in 1 (1.26%) case. 

 

CNS symptoms like headache or insomnia (7;6.8%) and neuropathy (3;2.91%) were also reported in our study. there were 19 (11.87%) cases of CNS related ADRs in a study by Reddy AK et al., (2013) [4] and Kumari R et al., (2017) [9] reported insomnia in 24 (10.52%) and headache in 16 (7.01%) patients. Parasthesia was reported by 3.75% of patients in study by Reddy AK et al., (2013) 4] while Kumari R et al., (2017) [9] observed peripheral neuropathy in 4 (1.75%) of cases and tremors in 3 (1.31%) cases. Rukmangathen R et al., (2020) [11] observed that nervous system related disorders were the most commonly observed ADRs in patients receiving TLE regimen which includes drowsiness/giddiness (53.62%) followed by headache (15. 94%) and nightmares (8.69%).

 

 We observed that 7 (6.8%) patients had fatigue, 5 (4.85%) had lipoatrophy and 1 had pancreatitis as an ADR to ATT. Anwikar SR et al., (2011) [6] observed lipodystrophy in 0.38% cases. Rukmangathen R et al.,(2020) [11] observed lipoatrophy in 20 (8.69%) cases and Reddy AK observed lipodystrophy and pancreatitis each in 2 (0.66%) cases. 

 

CONCLUSION

With the increasing access to use of HAART it is possible that there is an increased risk of drug induced illness due to HAART. Early detection and management of ADRs will reduce the economic burden and improve the medication adherence resulting in better therapeutic outcomes.

Conflict of Interest:

The authors declare that they have no conflict of interest

Funding:

No funding sources

Ethical approval:

The study was approved by the IGMC, Shimla

REFERENCE
  1. UNAIDS. (2020). [homepage on the internet]. UNAIDS Data 2020 [cited 2020 December 02]. Available from: http://www.unaids.org/sites/default/files/media_asset/UNAIDS_FactSheet_en.pdf.

  2. Marsden, Matthew D., and Jerome A. Zack. "Humanized mouse models for human immunodeficiency virus infection." Annual review of virology 4 (2017): 393-412. https://www.annualreviews.org/doi/abs/10.1146/annurev-virology-101416-041703

  3. Patel, Nirav M., et al. "Adverse drug reaction monitoring on antiretroviral therapy in human immunodeficiency virus patients in a tertiary care hospital." (2015). https://pesquisa.bvsalud.org/portal/resource/pt/sea-165211

  4. Reddy, AV Kiran, et al. "A study on adverse drug reactions in HIV infected patients at a art centre of tertiary care hospital in Guwahati, India." Asian J Pharm Clin Res 6.2 (2013): 102-4. https://www.researchgate.net/profile/Ratan-Lihite/publication/303151273_A_STUDY_ON_ADVERSE_DRUG_REACTIONS_IN_HIV_INFECTED_PATIENTS_AT_A_ART_CENTRE_OF_TERTIARY_CARE_HOSPITAL_IN_GUWAHATI_INDIA/links/5738143108ae298602e1aeba/A-STUDY-ON-ADVERSE-DRUG-REACTIONS-IN-HIV-INFECTED-PATIENTS-AT-A-ART-CENTRE-OF-TERTIARY-CARE-HOSPITAL-IN-GUWAHATI-INDIA.pdf

  5. Dean, Gillian L., et al. "Treatment of tuberculosis in HIV-infected persons in the era of highly active antiretroviral therapy." Aids 16.1 (2002): 75-83. https://journals.lww.com/aidsonline/abstract/2002/01040/treatment_of_tuberculosis_in_hiv_infected_persons.10.aspx

  6. Monforte, Antonella d'Arminio, et al. "Insights into the reasons for discontinuation of the first highly active antiretroviral therapy (HAART) regimen in a cohort of antiretroviral naive patients." Aids 14.5 (2000): 499-507. https://journals.lww.com/aidsonline/abstract/2000/03310/insights_into_the_reasons_for_discontinuation_of.5.aspx

  7. Anwikar, S. R., et al. "HAART induced adverse drug reactions: a retrospective analysis at a tertiary referral health care center in India." International Journal of Risk & Safety in Medicine 23.3 (2011): 163-169. DOI: 10.3233/JRS-2011-0532
  8. Gabbita, Padmaja, et al. "Evaluation of adverse drug reactions of first line antiretroviral drugs in a tertiary care centre of Telangana, India." (2018). https://pesquisa.bvsalud.org/portal/resource/pt/sea-199924

  9. Kumari, Rita, et al. "An assessment of adverse drug reaction patterns among HIV positive patients receiving antiretroviral therapy in a tertiary care hospital." Int J Pharmacol Res 7.04 (2017): 88-93.

  10. Rajesh, Radhakrishnan, Sudha Vidyasagar, and Krishnadas Nandakumar. "Highly active antiretroviral therapy induced adverse drug reactions in Indian human immunodeficiency virus positive patients." Pharmacy Practice 9.1 (2011): 48-55. https://www.redalyc.org/pdf/690/69020663009.pdf

  11. Rukmangathen, Rajalakshmi, et al. "Study of adverse drug reactions to antiretroviral therapy in a tertiary care hospital, Tirupati." Perspectives in Clinical Research 11.4 (2020): 158. doi: 10.4103/picr.PICR_133_18

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