Efficacy of Tenofovir Disoproxil-Lamivudine-Dolutegravir regimen in treatment of South Indian Adult Patients Living with HIV-1
Pathan Amanulla Khan1, Mahadevamma Lingaiah2*
1 Research Scholar, Dept. of Pharmacy Practice, College of Pharmaceutical Sciences,
School of Health Sciences, DSU, Harohalli, Bangalore.
2Associate Prof., Dept. of Pharmacy Practice, College of Pharmaceutical Sciences,
School of Health Sciences, DSU, Harohalli, Bangalore.
*Corresponding Author E-mail: mahadevammalingaiah11@gmail.com
ABSTRACT:
HIV is a retrovirus that selectively targets CD4+ T cells and HIV infection is prevalent on a global scale. The treatment involves HAART therapy. The appropriate use of HAART significantly reduces HIV replication. TLD is one such HAART regimen that contains Dolutegravir (DTG) as a preferred first-line treatment for HIV, comprising two NRTIs (TDF 300 mg, 3TC 300 mg) and one INSTI (DTG 50 mg) in a fixed- dose combination. This regimen effectively suppresses plasma HIV RNA load to undetectable levels, restores CD4+ cell counts, and offers improved tolerability and drug-resistance barriers compared to older Integrase inhibitors & NRTIs. Methods: The present Ambispective study compared the efficacy of the TLD regimen in 1021 patients ageing (19-75 years) living with HIV-1. Data was collected prospectively through follow-up visits and retrospectively through medical records. Objectives: Objectives were comparing immunologic response (CD4 cell count change), virologic response (viral load reduction), in association with Medication adherence, Results: Of the 1021 PLWH, 51.3% were males, 46.5% were females while 2.2% were transgender. The study demonstrated good CD4 count elevation at 6, 12 and 24 months of TLD regimen initiation while the viral load had marked suppression to <1000 c/ml after 36 to 48 months of treatment. Conclusion: Study makes a significant increase in CD4+ T cell count with an achievement of undetectable viral load levels over time. This highlights the regimen's potential for HIV infection management with significant contribution to the optimization of HIV treatment outcomes, enhancing patient quality of life, and advancing progress towards achieving the desired goals for HIV control.
KEYWORDS: Efficacy, Safety, PLWH, CD4 count, Plasma viral load.
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Received on 06.02.2025 Revised on 11.03.2025 Accepted on 14.05.2025 Published on 01.12.2025 Available online from December 06, 2025 Research J. Pharmacy and Technology. 2025;18(12):5763-5768. DOI: 10.52711/0974-360X.2025.00831 © RJPT All right reserved
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Creative Commons License. |
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INTRODUCTION:
The HIV also known as Human Immunodeficiency Virus is the infectious agent which causes sexually transmitted diseases (HIV).1,2,3,4 HIV infection can advance to its terminal stage, AIDS, if treatment is not received, which can result in an eventual decline in health.5 HIV has the ability to particularly target and eliminate CD4-T lymphocytes, the defense cells responsible for battling infection. Consequently, the decline of CD4 cells can manifest to a gradual weakening of the immune system, which in turn compromises the immune system's potential for fighting off infections, illnesses, and some types of cancer. However, the immunity is reversible with HAART6,7,8 and the risk of HIV transmission is almost non-existent if it is managed properly.9,10,11 Recently, Integrase strand transfer inhibitors have become a novel category of antiretroviral medications, providing enhanced effectiveness, safety and tolerability12,13. As a treatment for HIV-1, the first-generation Integrase strand transfer inhibitors were the first to receive approval from the FDA14. In 2007, Raltegravir was the first approved INSTI by the FDA, and Elvitegravir was approved in 201215. While they were a significant advancement in HIV treatment at the time, their limitations have led to the development of second-generation INSTIs with improved characteristics like minimal cross resistance, excellent virological suppression and tolerability with fewer drug to drug interactions.16,17 because of these issues, the advent and the profound increased use of the second generation INI dolutegravir (DTG) came in to existence to further strengthen combination ART.18,19,20 Though DTG did very good in clinical trials, showcasing remarkable safety and an outstanding tolerability, efficacy there are fewer studies both on its short and long-term impact in real life21,22 besides this there is a lack of studies on the use of DTG based INSTIs in adult populations in southern India. Therefore, our research aims to investigate the effectiveness, TLD regimen in HIV-1 adult population in south Indian urban ART Centre.
MATERIALS AND METHODS:
An Ambispective study was carried out at a south Indian district ART Centre on patient living with HIVandAIDS ageing between 19-75 years age who are receiving TLD regimen as their treatment. The inclusion criteria involved patients with positive HIV-1 infection and are on therapy with TLD regimen. The exclusion criterion includes subjects who were with negative HIV Infection and are on other HAART regimen with severe renal or hepatic impairment. Along with this subjects who were hypersensitive to TLD regimen and positive HBV, HBC were also excluded
Data collection:
Permission were taken from the respective authorities like Institutional Ethics Committee with ref no (IEC/03/11) for the collection of data through patient medical records. Patient’s history/data which includes when they have been diagnosed with HIV, treatment they have been receiving and their response to that treatment was collected by obtaining informed consent, all the eligible patients on one tablet each of DTG (50 mg) and TDF and 3TC (300/300 mg) fixed dose combination once daily for 24 weeks would be taken. The efficacy assessment was done at week 6, 12, 24 and 36 Months from the baseline day by noting the plasma viral load and CD4 count values at week 12 and 24 months from baseline day. Medication adherence was assessed based on the self-reported medication adherence in which percentage of missed daily doses would be calculated as Prescribed doses minus missed doses divided by prescribed doses. The final result would be multiplied with 100 to get the percentage of adherence.
Sample size and statistical plan:
According to the quoted study “Dravid A, Morkar D et al, the sample size was calculated and the resulted sample was 1013. The data collection and compilation will be done in Microsoft Excel. The data analysis is performed using SPSS version 27. The frequency and proportion will be used to describe the demographic and clinical factors. Mean and Standard deviation will be used to estimate the virological and immunological outcomes. Chi-square test will be used to perform the Univariate analysis. Binary logistic regression analysis will be used to find the odds of the risk factors associated with the efficacy. Statistical significance will be considered at 5% level of significance (p<0.05).
RESULTS:
Demographics of PLWHS shows that 524 (51.3%) PLWHS were males and 475 (46.5%) were females and 22 (2.2%) were transgender altogether totaling 1021 patients. Apart from this around 685 (67.1%) patients were in the age group of 19-39, followed by 314 (30.8%) patients in 40-59 age group and 22 (2.2%) patients in 60-75. The family history showed spouse positive 541 (53.0%) and spouse negative 337 (33%), Spouse-Expired 42 (4.2%) cases were predominantly higher in comparison to Family not tested were 78 cases. Apart from this the social history showed majority of patients 607 (59.5%) had none of the social habits and the remaining 40.5% had social habits like smoking, tobacco chewing, smoking, habitual or past alcoholism.
Table-01: The proportion of medication adherence.
|
Medication adherence |
Frequency |
Percent |
|
Poor ADR (<80%) |
5 |
0.5 |
|
Fair ADR (81%-95%) |
28 |
2.7 |
|
Good ADR (>95%) |
988 |
96.8 |
|
Total |
1021 |
100.0 |
The above table-1 shows the medication adherence of PLWHS in which 988 (96.8%) had good adherence followed by 28 (2.7%) had fair adherence and only 5 (0.5%) had poor adherence.
Table-2: The following table shows the CD 4 counts at start, 12 months and 24 months of TLD regimen
|
CD4 Count |
At Start of TLD regimen |
At 12 months of TLD regimen |
At 24 months of TLD regimen |
|||
|
Frequency |
Percent |
Frequency |
Percent |
Frequency |
Percent |
|
|
<200 |
55 |
5.4 |
20 |
2.0 |
12 |
1.2 |
|
200-499 |
311 |
30.5 |
122 |
11.9 |
107 |
10.5 |
|
500-999 |
563 |
55.1 |
565 |
55.3 |
368 |
36.0 |
|
1000 and Above |
92 |
9.0 |
314 |
30.8 |
534 |
52.3 |
|
Total |
1021 |
100.0 |
1021 |
100.0 |
1021 |
100.0 |
Table-03: The Plasma Viral load at 6, 12, 24, and 36, months of TLD regimen.
|
Viral Load |
6 Months |
12 Months |
24 Months |
36 Months |
||||
|
Freq |
% |
Freq |
% |
Freq |
% |
Freq |
% |
|
|
Undetected-TND |
311 |
30.5 |
691 |
67.7 |
912 |
89.3 |
964 |
94.4 |
|
Suppressed (<1000) |
366 |
35.8 |
203 |
19.9 |
66 |
6.5 |
33 |
3.2 |
|
Unsuppressed (>1000) |
344 |
33.7 |
127 |
12.4 |
43 |
4.2 |
24 |
2.4 |
|
Total |
1021 |
100.0 |
1021 |
100.0 |
1021 |
100.0 |
1021 |
100.0 |
In the above table-2 level of CD4 counts were shown at baseline initiation of TLD therapy which shows only 92 (9.0%) patients were having 1000 or above CD4 counts followed by 563 (55.!%) had 500-999 CD4 counts. Upon 12 months of TLD therapy the CD4 count remarkably progressed which shows around 30.8% (314) patients had more than 1000 counts of CD4 counts and 565 (55.3%) had 500-999 counts followed by only 11.9% patients were under 500 CD4 cell count proving the immunological response of TLD regimen in PLWHS. The immunological response was much better at 24 months of therapy which shows around 52.3% (534) patients were having more than 1000 counts of CD4 cells followed by 368 (30.8%) were in 500-999 CD4 counts.
The table-3 shows the levels of plasma viral loads at different intervals of TLD therapy in which there is a marked suppression of viral load was seen at 6 months which accounts for 30.5% (311) in undetected and 35.8% (366) patients in suppressed levels and 33.7 % (344) patients I unsuppressed levels. At 12 months of therapy the efficacy has improved to 67.7 % (691) which was further improved at 24 months constituting 89.3% (912) and at 36 months of treatment there were 94.4% (964) of undetected plasma viral load cases.
The table-4 provides the odds ratio estimates for predicting the effect of medication adherence on CD 4 count and the results suggest there is an increase CD 4 counts in the fair adherence group by 1.767 times compared with poor adherence. Meanwhile, in the good adherence there is decrease in the CD 4 counts to 0.534 odds compared with poor adherence. However, this change in the counts is statistically not significant.
The table-5 shows the effect of medication adherence on viral load among HIV patients in which we observe that the risk of viral load was decreased by 0.713 odds in the fair adherence group and the risk of viral load is still lesser to 0.164 times in the good adherence compared to poor adherence group. The decrease in the viral load in good adherence is considered statistically significant.
Table-04: Odds ratio estimates for predicting the effect of medication adherence on CD 4 counts.
|
Medication Adherence |
Odds Ratio for CD 4 |
P-value |
95% CI for OR |
|
|
Lower Bound |
Upper Bound |
|||
|
Poor Adherence (<80%) |
1.000 |
---- |
---- |
---- |
|
Fair Adherence (81%-95%) |
1.767 |
0.325 |
0.569 |
5.486 |
|
Good Adherence (>95%) |
0.534 |
0.240 |
0.187 |
1.521 |
a. The reference category is: Poor Adherence (<80%).
Table-05: Effect of medication adherence on viral load among HIV patients.
|
Medication Adherence |
Odds Ratio for Viral Load |
P-value |
95% CI for OR |
|
|
Lower Bound |
Upper Bound |
|||
|
Poor Adherence (<80%) |
1.000 |
---- |
---- |
---- |
|
Fair Adherence (81%-95%) |
0.713 |
0.526 |
0.250 |
2.032 |
|
Good Adherence (>95%) |
0.164 |
0.000 |
0.062 |
0.436 |
a. The reference category is: Poor Adherence (<80%).
Table-06: Change in weight after TLD therapcy.
|
Weight (IN KGS) |
At start of TLD regimen |
Total |
Sign. |
|||
|
<200 |
200-499 |
500-999 |
1000 and Above |
|||
|
Weight Gain Positive |
53 |
255 |
456 |
67 |
831 |
chi-square = 12.729, p-value = 0.005* |
|
6.4% |
30.7% |
54.9% |
8.1% |
100.0% |
||
|
Weight Gain Negative |
2 |
56 |
107 |
25 |
190 |
|
|
1.1% |
29.5% |
56.3% |
13.2% |
100.0% |
||
|
Total |
55 |
311 |
563 |
92 |
1021 |
|
|
5.4% |
30.5% |
55.1% |
9.0% |
100.0% |
||
|
WEIGHT (IN KGS) |
At 12 months of TLD regimen |
Total |
Sign. |
|||
|
<200 |
200-499 |
500-999 |
1000 and Above |
|||
|
Weight Gain Positive |
20 |
96 |
469 |
246 |
831 |
chi-square = 8.062, p-value = 0.045* |
|
2.4% |
11.6% |
56.4% |
29.6% |
100.0% |
||
|
Weight Gain Negative |
0 |
26 |
96 |
68 |
190 |
|
|
0.0% |
13.7% |
50.5% |
35.8% |
100.0% |
||
|
Total |
20 |
122 |
565 |
314 |
1021 |
|
|
2.0% |
11.9% |
55.3% |
30.8% |
100.0% |
||
|
WEIGHT (IN KGS) |
At 24 months of TLD regimen |
Total |
Sign. |
|||
|
<200 |
200-499 |
500-999 |
1000 and Above |
|||
|
Weight Gain Positive |
12 |
84 |
307 |
428 |
831 |
chi-square = 4.879, p-value = 0.181 |
|
1.4% |
10.1% |
36.9% |
51.5% |
100.0% |
||
|
Weight Gain Negative |
0 |
23 |
61 |
106 |
190 |
|
|
0.0% |
12.1% |
32.1% |
55.8% |
100.0% |
||
|
Total |
12 |
107 |
368 |
534 |
1021 |
|
|
1.2% |
10.5% |
36.0% |
52.3% |
100.0% |
||
*indicates the statistical significance.
The table-6 shows the results of change in weight of the participants who underwent the TLD treatment. At baseline and at 12th month’s assessment, we observed there is significant change in the weight at different level of TLD regimen. However, at the 24th month assessment there is no change in the weight gain and weight loss across the regimen.
DISCUSSION:
The present study evaluated the efficacy of TLD Regimen in treatment of south Indian adult patients living with HIV-1. Upon 12 months of TLD therapy the CD4+ count remarkably progressed to around 30.8% (314) patients of more than 1000 CD4+ counts and 565 (55.3%) had 500-999 counts followed by only 11.9% patients were under 500 CD4+ cell count proving a very good immunological response of TLD regimen in PLWHS. The immunological response was much better at 24 months of therapy which shows around 52.3% (534) patients of having more than 1000 counts of CD4+ cells followed by 368 (30.8%) were in 500-999 CD4+ counts. Similar results were observed with a mean increase in CD4+ cells by 143.2 cells from baseline to 24 weeks.23 While an another study showed around 62% participant’s had CD4+ cell counts of > 500 from baseline followed by further increase in immunologic response upon DTG based ART therapy.24 Coming to the plasma viral load our study showed marked suppression of viral load at 6 months which accounts for 30.5% (311) in undetected levels and 35.8% (366) patients in suppressed levels and 33.7 % (344) patients at unsuppressed levels. However, after 12 months of therapy the efficacy has improved to 67.7 % (691) which was further improved at 24 months constituting 89.3% (912) and at 36 months of treatment there were 94.4% (964) of undetected plasma viral load indicating a better efficacy and profound viral suppression in PLWHS. Similar findings are seen in Phase 3 reports of FLAMINGO (90%) and SPRING-2 studies (88%) and Barbara rosette study (88.2%). However, other combinations of DTG based ART therapies were studied in those trials with viral loads measured at 48 and 96 weeks and 3,6,12 weeks as against to 6 weeks, ,12 weeks, 24weeks and 36weeks in our study.18,20,23,25. An adherence or compliance of ≥ 95% to ART therapy is recommended to have good viral suppression and maintainance.26.27,28 in the present study self-reported adherence was found to be 96.8% in good adherence followed by 2.7% in fair adherence. Similar results were found in Hurbans N, Naidoo P study had reported 80% of participants with 100% adherence to DTG-based ART.16 A recent study conducted by Kanters S, Vitoria M has shown higher odds of viral suppression rates (OR: 1.64; 95% CI: 1.35–1.96 at 48 weeks) which are more effective in elevating CD4+ cell count.29 Similarly In our study we observed lesser risk of viral load by 0.713 odds in the fair adherence group which is still lesser to 0.164 times in the good adherence compared to poor adherence group. While coming to CD4+ cells CD 4 count the results suggest there is an increase CD 4 counts in the fair adherence group by 1.767 times compared with poor adherence. Meanwhile, in the good adherence there is decrease in the CD 4 counts to 0.534 odds compared with poor adherence. However, this change in the counts is statistically not significant. The results of change in weight of the participants at baseline and at 12th month’s assessment, we observed there is significant change in the weight gain with a chi-square = 8.062, p-value = 0.045* whereas 24th month assessment there was no change in the weight gain or weight loss across the regimen. Phillips AN, Venter F study showed similar results of weight gain which could be linked to lesser need of spending energy owing to lesser or no vial loads.16,30
CONCLUSION:
The present study concludes that there is significant increase in CD4+ T cell count and achievement of undetectable viral load levels over time; highlights the regimen's potential for HIV infection management with higher rates of viral load suppression, indicating the regimen's efficacy. The study also suggests that there should a fair to good adherence to treatment regimen to have better immunological or viral load suppression. Overall, the study suggests that the TLD regimen is a viable treatment option for PLWH, with a potential to improve patient outcomes, enhancing quality of life, and advancing progress towards achieving the desired goals for HIV management.
AUTHOR CONTRIBUTIONS:
PAK and ML worked in the conceptualization and methodology of topic. PAK did literature review, collection of data and analysis. PAK is responsible in the drafting of manuscript. ML reviewed whole manuscript and approved it for submission.
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Received on 01.02.2025 Revised on 22.05.2025 Accepted on 21.08.2025 Published on 01.12.2025 Available online from December 06, 2025 Research J. Pharmacy and Technology. 2025;18(12):5758-5762. DOI: 10.52711/0974-360X.2025.00830 © RJPT All right reserved
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