Efficacy and Tolerability of Tenofovir Disoproxil Fumarate Based Regimen as Compared to Zidovudine Based Regimens: A Systematic Review and Meta-Analysis

Metabolic Syndrome and Combination Antiretroviral Therapy in HIV Patients in Periurban Hospital in Ghana: A Case-Control Study

Background

There is an increasing prevalence of cardiovascular diseases (CVDs) and risk factors in HIV patients as the levels of AIDS-related mortality and morbidity decrease. Metabolic syndrome (MetS) is the accumulation of various CVD risk factors that predict the occurrence of CVDs. We investigated the prevalence of MetS and associated risk factors in HIV patients treated with combination antiretroviral therapy (cART), cART-naïve HIV patients, and non-HIV controls.

Methods

In a case-control design, 158 cART-treated HIV patients, 150 cART-naïve HIV patients, and 156 non-HIV controls were recruited from a periurban hospital in Ghana. A structured questionnaire was used to collect data on demography, lifestyle, and medication. Anthropometric indices and blood pressure were measured. Fasting blood samples were collected to measure the plasma levels of glucose, lipid profile, and CD4+ cells. The presence of MetS was defined using the joint scientific statement criteria.

Results

The prevalence of MetS was higher in cART-treated HIV patients compared with cART-naïve HIV patients and non-HIV controls (57.3% vs. 23.6% vs. 19.2% and p < 0.001, respectively). MetS was associated with cART-treated HIV patients (odds ratio (95% CI) = 7.24 (3.41-15.39) and p < 0.001), cART-naïve HIV patients (2.04 (1.01-4.15), p=0.048), and female gender (2.42 (1.39-4.23) and p=0.002). In cART-treated HIV patients, those on zidovudine (AZT)-based regimens were associated with increased likelihood (3.95 (1.49-10.43) and p < 0.006), while those on tenofovir (TDF)-based had decreased likelihood (0.32 (0.13-0.8) and p=0.015) of having MetS.

Conclusion

In our study population, there was a high prevalence of MetS in cART-treated HIV patients compared to cART-naïve HIV patients and non-HIV controls. HIV patients on AZT-based regimens had an increased likelihood of having MetS, while those on TDF-based regimens had a reduced likelihood of having MetS.

Determinants of therapy failure among adults on first-line antiretroviral therapy in Asmara, Eritrea: a multicenter retrospective matched case-control study

BACKGROUND

Information on treatment failure (TF) in People living with HIV in a data-poor setting is necessary to counter the epidemic of TF with first-line combined antiretroviral therapies (cART) in sub-Saharan Africa (SSA). In this study, we examined the risk factors associated with TF in Asmara, Eritrea from 2001 to 2020.

METHODS

A multicenter, retrospective 1:2 matched (by age and gender) case-control study was conducted in four major hospitals in Asmara, Eritrea on adults aged ≥ 18 years who were on treatment for at least 6 months. Cases were patients who fulfills at least one of the WHO therapy failure criterion during the study period. Controls were randomly selected patients on first-line treatment and plasma viral load < 1000 copies/ml in their latest follow-up measurement. Multivariable logistic regression analysis was conducted to identify risk factors for TF. All P-values were 2-sided and the level of significance was set at P < 0.05 for all analyses.

RESULTS

Of the 1068 participants (356 cases; 712 controls), 585 (54.7%) were females. The median age at treatment initiation was 46 years [interquartile range (IQR): 39-51]. Median time to combined antiretroviral therapy (cART) failure was 37 months (IQR = 24-47). In the multivariate analysis, factors associated with increased likelihood of TF included initial nucleoside reverse transcriptase inhibitors (NRTI) backbone (Zidovudine + Lamivudine (AZT + 3TC): adjusted odds ratio (aOR) = 2.70, 95% Confidence interval (CI): 1.65-4.41, P-value < 0.001), (Abacavir + lamivudine (ABC + 3TC): aOR = 4.73, 95%CI: 1.18-18.92, P-value = 0.028], and (Stavudine + Lamivudine (D4T + 3TC): aOR = 5.00; 95% CI: 3.03-8.20, P-value < 0.001) in comparison to Emtricitabine and Tenofovir diproxil fumarate (FTC + TDF). Additional associations included prior exposure to cART (aOR = 2.28, 95%CI: 1.35-3.86; P- value = 0.002), record of sub-optimal drug adherence (aOR = 3.08, 95%CI: 2.22-4.28; P < 0.001), ambulatory/bedridden at presentation (aOR = 1.61, 95%CI: 1.12-4.28; P-value = 0.010), presence of comorbidities (aOR = 2.37; 95%CI: 1.36-4.10, P-value = 0.002), duration of cART (< 5 years: aOR: 5.90; 95% CI: 3.95-8.73, P-value < 0.001), and use of SMX-TMP prophylaxis (aOR = 2.00, 95%CI, 1.44-2.78, P-value < 0.001).

CONCLUSION

Our findings underscore the importance of optimizing cART adherence, diversification of cART regimens, and interventions directed at enhancing early HIV diagnosis, prompt initiations of treatment, and improved patient-focused monitoring of treatment response.

Effectiveness of four antiretroviral regimens for treating people living with HIV

The aim of this study was to compare 4 different ARV regimens in a clinical cohort in Brazil, with regard to the virologic and immunologic responses, clinical failure and reasons for changing. To compare the virologic response and clinical failure between groups we used the Cox and Kaplan Meier proportional hazard models. To analyze the immunologic outcome, we used multilevel GLLAMM and mixed effect linear regression models. To compare regimen change outcomes we used the Pearson's chi-square test. We included 840 participants distributed across the groups according to the initial ART regimen. The mean follow-up period was 27.8 months. Almost half the sample initiated ART with AIDS-related signs/symptoms. Virologic response was effective in 79.6% of participants within 12 months. The tenofovir/lamivudine/efavirenz group presented a higher proportion of virologic response (VL<50 at 6 months) when compared to the zidovudine/lamivudine/efavirenz group. There was no difference between the regimens regarding the immunologic response. A total of 17.3% of individuals changed regimen because of failure and 46.5% due to adverse events. Changes due to adverse events were more frequent in the group using zidovudine/lamivudine/efavirenz. The proportion of hospitalizations at 1 year was higher in the zidovudine/lamivudine/efavirenz group when compared to the tenofovir/lamivudine/efavirenz group. The effectiveness outcomes between the regimens were similar. Some differences may be due to the individual characteristics of patients, toxicity and acceptability of drugs. Studies are needed that compare similarly effective regimens and their respective treatment costs and financial impacts on SUS (Integrated Healthcare System).

Determinants of virological failure among adults on first-line highly active antiretroviral therapy at public health facilities in Kombolcha town, Northeast, Ethiopia: a case-control study

OBJECTIVE

To identify determinants of virological failure among HIV-infected adults on first-line highly active antiretroviral therapy at public health facilities in Kombolcha town, Northeast, Ethiopia, in 2019.

METHODS

An unmatched case-control study was conducted from April to May 2019. About 130 cases and 259 controls were selected by simple random sampling. Data were extracted from charts of patients using a structured checklist. Multiple logistic regression analysis was performed to identify possible factors. Hosmer-Lemeshow goodness of fit test was used to check the model. Finally, independent predictor variables of virological failure were identified based on adjusted OR (AOR) with 95% CI and a p value of 0.05.

RESULTS

The odds of virological failure were 2.4-fold (AOR=2.44, 95% CI 1.353 to 4.411) higher in clients aged <35 years compared with older clients, fivefold (AOR=5.00, 95% CI 2.60 to 9.63) higher in clients who did not disclose their HIV status, threefold (AOR=2.99, 95% CI 1.33 to 6.73) higher in clients with poor adherence, and 7.5-fold (AOR=7.51, 95% CI 3.98 to 14.14) higher in clients who had recent CD4 count of ≤250 cells/mm³.

CONCLUSION AND RECOMMENDATION

This study revealed that age, marital status, occupation, disclosure status, baseline functional status, missed clinic visit, current antiretroviral therapy regimen, adherence to treatment and recent CD4 count were significantly associated with virological failure. Therefore, adherence support should be strengthened among clients. Missed clinic visits should also be reduced, as it could help clients better adhere to treatment, and therefore boost their immunity and suppress viral replication.

Incidence and predictors of loss to follow up among adult HIV patients on antiretroviral therapy in University of Gondar Comprehensive Specialized Hospital: A competing risk regression modeling

INTRODUCTION

Loss to follow up after the initiation of antiretroviral therapy (ART) is common in Africa, particularly in Ethiopia and it is a considerable obstacle for the effectiveness of the ART program. Mortality is a competing risk of loss to follow up but it is often overlooked and there is limited evidence about the incidence and predictors of loss to follow up in the presence of competing events.

OBJECTIVE

To assess the Incidence and predictors of loss to follow up among adult HIV patients on ART in University of Gondar Comprehensive Specialized Hospital between January 1, 2015, and December 31, 2018.

METHODS

Institution based retrospective follow up study was conducted in University of Gondar Comprehensive Specialized Hospital. A Gray's test and cumulative incidence curve were used to compare the cumulative incidence function of loss to follow up. Bivariable and multivariable competing risk regression models were fitted to identify the predictors of lost to follow up and those variables with p-value <0.05 in the multivariable analysis was considered as significant predictors of lost to follow up.

RESULT

A total of 531 adult HIV patients on ART were included in the analysis. The incidence rate of loss to follow up in this study was 10.90 (95% CI: 8.9-13.2) per 100 person years. Being age group 15-30 years (aSHR = 2.01; 95%CI;1.11-3.63), being daily laborer(aSHR = 2.60; 95%CI;1.45-4.66), not receiving cotrimoxazole preventive therapy (aSHR = 2.66; 95%CI;1.68-4.21), not receiving isoniazid preventive therapy(aSHR = 4.57; 95% CI;1.60-13.08), ambulatory functional status (aSHR = 1.61; 95% CI; 1.02-2.51) and taking AZT-3TC-NVP medication at start of ART(aSHR = 2.01; 95% CI; 1.16-3.78) were significant predictors of lost to follow up.

CONCLUSION

In this study the incidence of lost to follow up was high. Young people, daily laborer, ambulatory patients and those taking AZT-3TC-NVP as well as those who did not take opportunistic prophylaxis were at higher risk of loss to follow up. Therefore, giving special attention to the high-risk groups for lost to follow up highlighted in this study could decrease the rate of LTFU.

Comparison of Zidovudine and Tenofovir Based Regimens With Regard to Health-Related Quality of Life and Prevalence of Symptoms in HIV Patients in a Kenyan Referral Hospital

Aim: Zidovudine and tenofovir form the backbone of antiretroviral therapy in Kenya. However, their side-effects may affect the quality of life (QoL) of patients. The aim was to compare the health-related quality of life (HRQoL) of adult patients on tenofovir versus zidovudine based regimens in a referral hospital in Kenya to provide future guidance.

Methods: A comparative cross sectional study among 501 adult out-patients on either tenofovir or zidovudine was undertaken in Kenyatta National Hospital between 2015 and 2016. The Medical Outcome Study HIV Health Survey (MOS-HIV) was administered along with other key aspects of treatment. Linear regression analysis was performed to identify determinants of HRQoL.

Results: Patients on zidovudine had a higher Physical Health Summary Score (PHSS) and Mental Health Summary Score (MHSS) compared to those on tenofovir. The presence of any symptom of the disease and a stated inability to cope were negatively associated with PHSS, whilst having a regular source of income improved PHSS. Being on tenofovir, symptom of illness [β = -1.24; 95% CI (-2.253, -0.226)], absence of pain [β=0.413; 95% CI (0.152, 0.674)] and patient stated inability to cope with HIV [β = -1.029; 95% CI (-1.441, -0.617)] affected the MHSS. Patients on tenofovir and second line regimens had more signs and symptoms of illness.

Conclusion: Participants on zidovudine based regimens showed a better performance across all aspects of HRQoL. These are considerations for the future.

Opportunistic diseases diminish the clinical benefit of immediate antiretroviral therapy in HIV-tuberculosis co-infected adults with low CD4+ cell counts

INTRODUCTION

HIV-tuberculosis (TB) co-infection remains an important cause of mortality in sub-Saharan Africa. Clinical trials have reported early (within 2 weeks of TB therapy) antiretroviral therapy (ART) reduces mortality among HIV-TB co-infected research participants with low CD4 cell counts, but this has not been consistently observed. We aimed to evaluate the current WHO recommendations for ART in HIV-TB co-infected patients on mortality in routine clinical settings.

METHODS

We compared two cohorts before (2008-2010) and after (2012-2013) policy change on ART timing after TB and examined the effectiveness of early versus delayed ART on mortality in HIV-TB co-infected participants with CD4 cell count 100 cells/μl or less. We used inverse probability censoring-weighted Cox models on baseline characteristics to balance the study arms and generated hazard ratios for mortality.

RESULTS

Of 356 participants with CD4 cell counts 100 cells/μl or less, 180 were in the delayed ART cohorts whereas 176 were in the early ART cohorts. Their median age (32.5 versus 32 years) and baseline CD4 cell counts (26.5 versus 26 cells/μl) respectively were similar. There was no difference in mortality rates of both cohorts. The risk of death increased in participants with a positive Cryptococcal antigen (CrAg) test in both the early ART cohort (aHR = 2.6, 95% CI 1.0-6.8; P = 0.045) and the delayed ART cohort (aHR = 4.2, 95% CI 1.9-9.0; P < 0.001 CONCLUSION:: Early ART in patients with HIV-TB co-infection was not associated with reduced risk of mortality in routine care. Asymptomatic Cryptococcal antigenaemia increased the risk of mortality in both cohorts.

Treatment Outcome and Adverse Events of Tenofovir Disoproxil Fumarate Based Regimens as Compared to Zidovudine Based Regimens Among People Living with HIV/AIDS: A Systematic Review and Meta-Analysis of Observational Studies

Background:

Findings from different studies report inferior clinical and virologic efficacy with TDF/3TC/NVP. But, some studies show that, there was no statistically significant difference in mortality among ZDV and TDF based regimens. The objective of this review was to systematically identify, appraise and synthesize the best available evidence on efficacy and safety of TDF based regimen as compared to ZDV based regimens.

Methods:

A three-step search strategy was used to locate published and unpublished studies. First, an initial limited search of google was undertaken followed by analysis of text words. A second extensive search was undertaken. We searched the PubMed, EMBASE, Google Scholar, Medline, and CINHAL. We did the initial search for articles on July 11-18, 2016, and updated the results on May 13, 2017.Third, the reference lists of all identified articles was searched for additional studies.

Results:

ZDV based regimens had better outcome on prevention of mortality (OR=1.31, 95%CI (1.14, 1.50), I² = 0%, Chi² = 2.51), and lower virologic failure (OR = 1.44, 95% CI [1.18, 1.76], chi² = 5.91, P= 0.003, I² =83%) while, TDF based regimens were more tolerable (OR=0.15, 95%CI (0.08, 0.30), I² = 40%, Chi² = 3.31). The difference in incidence of opportunistic infection is not significant (OR = 0.83, 95% CI [0.52, 1.32], chi² = 0.11, P= 0.42, I² =0%).

Conclusion:

There is lower mortality and lower virologic failure in ZDV group, but better safety profile among TDF based regimens.

Five-year trends in treatment changes in an adult cohort of HIV/AIDS patients in Ghana: a retrospective cohort study

BACKGROUND

There is limited information on patterns of treatment change among new initiators of highly active antiretroviral therapy (HAART) in the regions most affected by HIV/AIDS. This makes it difficult to identify the determinants of treatment change. In this retrospective cohort study, we examined treatment change patterns over a five-year period among initiators of HAART.

METHODS

De-identified data were obtained from the Fevers' Unit Database at the Korle-Bu Teaching Hospital. All adult treatment-naive patients who started treatment with first line HAART between 1st January, 2008 and 31st December, 2012 were followed over a minimum period of three months. The main outcome was the first treatment change, defined as the first substitution/switch in accordance with the standard treatment guidelines. Data were analyzed stratified by year of treatment initiation. Crude and adjusted hazard ratios were calculated.

RESULTS

A total of 3933 patients were followed with almost equal numbers of initiators per year. The mean age (standard deviation) at treatment initiation was 39 (10.3) years. The most prescribed HAART combination was AZT/3TC/EFV and overall for initiators zidovudine combination therapy was about 60%. Utilization of stavudine containing HAART increased gradually until 2010 and then dropped to zero. Over the study period, 44.9% of recorded deaths were from those initiated with a stavudine backbone, 41.1% from a zidovudine backbone, and 11.5% from a tenofovir backbone. Females had a significantly higher rate of treatment change compared to males (p-value = 0.0002), and d4T/3TC/EFV and d4T/3TC/NVP recorded independent treatment change hazard ratios of 12.05 (CI 9.58 to 15.16) and 12.03 (CI 9.27 to 15.61) respectively.. Kaplan-Meier curves showed that treatment change was higher among those who started treatment later in the study period compared with those who started earlier.

CONCLUSION

A major treatment change in the utilization of antiretroviral medicines in Ghana occurred during the study period which was associated with type of treatment, year of treatment, gender and disease stage. The influence of a policy change during the period may have made a significant impact.. For diseases involving life-long treatment in particular, it is important to monitor and periodically evaluation treatment utilization patterns.