Immunological outcomes of Tenofovir versus Zidovudine-based regimens among people living with HIV/AIDS: a two years retrospective cohort study

Drug-Related Problems in HIV Treatment Failure

Background Antiretroviral therapy (ART) is used in human immunodeficiency virus (HIV) treatment to reduce morbidity and mortality rates among people living with the virus. The types of drug-related problems (DRPs) and their causes that contributed to HIV treatment failure were unknown. Thus, this study aimed to determine the types and causes of DRPs associated with HIV treatment failure. Methods A multicentre, retrospective cohort study was conducted at the Infectious Disease Centre of Sungai Buloh Hospital, Selangor, and Tuanku Ja'afar Hospital, Negeri Sembilan. Data were collected from patients' medical records by reviewing the medical progress notes, laboratory parameters, and treatment regimen. Pharmaceutical Care Network of Europe's (PCNE) classification system V9.1 was used to identify and classify the types and causes of DRPs. Patients were classified as having treatment failure if the HIV RNA viral load was more than 1000 copies/ml for two consecutive readings. Patients were categorized as treatment successful if there was a decrease in HIV RNA viral load suppression after six months of ART initiation and had no history of persistent HIV RNA viral load greater than 1000 copies/ml for two consecutive measurements. Data were analyzed using the chi-square test. Results The number of patients recruited for this study was 355 (treatment success group = 263, treatment failure group = 92). Almost all patients (n = 354, 99.7%) had experienced at least one DRP. A total of 811 problems and 1605 causes of DRPs were encountered. The occurrence of DRPs in the HIV treatment failure group was 5.77 DRPs per patient compared to the success group (4.08 DRPs per patient). In the treatment failure group, treatment effectiveness was identified as the most frequent domain of problems (P) (P1: n = 169, 59.93%), followed by treatment safety (P2: n = 111, 39.36%). The common domains of causes (C) include patient-related (C7: n = 367, 69.11%), other (C9: n = 105, 19.77%), and drug selection (C1: n = 49, 9.23%). Significant differences were found in several causes (C7.1, C7.10, and C9.1) between the two groups. Conclusion The occurrence of DRPs in HIV treatment failure was high, contributing to treatment effectiveness and treatment safety issues.

Patient and health facility attributes associated with retention and virologic suppression in private for-profit health facilities in Nigeria

Background

In Nigeria, private for-profit health facilities present an opportunity to achieve the UNAIDS 95-95-95 HIV targets because of their reach and patronage. However, little is known about determinants of outcomes in these facilities. This study describes patient outcomes and the patient and health facility characteristics associated with these outcomes in adults receiving HIV treatment in private facilities in the Federal Capital Territory (FCT), Benue and Nasarawa states in north-central Nigeria.

Methods

A retrospective longitudinal analysis of program data collected between 2013 and 2019 was done. Patient attributes and outcomes were compared across the two states and FCT. Incidence rates were determined for all cause exit, mortality and loss to follow up (LTFU). Cox proportional hazard models were used to identify associations between patient and facility attributes and these outcomes. Bivariate and multivariate logistic regression models were used to determine the factors associated with viral suppression among the study participants.

Results

Of the 22,010 study subjects, 42.7%, 22.2% and 35.1%, respectively, were in Benue, FCT and Nasarawa. Almost a third (31.8%) had received antiretroviral treatment (ART) for less than a year at censoring. Incidence rates for all-cause exit, mortality and loss to follow up (LTFU) were 17.2 (95% CI 16.8, 17.5), 2.1 (95% CI 2.0, 2.2), and 11.2 (95% CI 10.8, 11.8) per 100 person years respectively. Males had higher risks of death (HR = 1.47, 95% CI 1.25–1.73), and LTFU (HR = 1.08, 95% CI 1.00–1.16). Age at ART start showed a dose–response association with both mortality and LTFU. Care at model facilities (OR = 2.16, p < 0.001), Zidovudine (AZT)-based regimens (OR = 2.00, p < 0.001), and lowest quartile baseline CD4 + count (OR = 2.40, p < 0.001) were associated with regimen switch. 75.6% of subjects were viral suppressed. Male gender (OR = 0.84, p = 0.025); AZT-based regimen (OR = 0.72, p < 0.001), age in the bottom quartile (OR = 0.71, p = 0.002) were associated with virally suppression.

Conclusion

Private for-profit facilities are a major provider of HIV and other health services in Nigeria. With appropriate technical support and engagement, they can help accelerate efforts to achieve epidemic control of HIV in Nigeria, and contribute to achievement of UNAIDS 95-95-95 target by 2030.

Modelling trends of CD4 counts for patients on antiretroviral therapy (ART): a comprehensive health care clinic in Nairobi, Kenya

BACKGROUND

In resource-limited settings, changes in CD4 counts constitute an important component in patient monitoring and evaluation of treatment response as these patients do not have access to routine viral load testing. In this study, we quantified trends on CD4 counts in patients on highly active antiretroviral therapy (HAART) in a comprehensive health care clinic in Kenya between 2011 and 2017. We evaluated the rate of change in CD4 cell count in response to antiretroviral treatment. We further assessed factors that influenced time to treatment change focusing on baseline characteristics of the patients and different initial drug regimens used. This was a retrospective study involving 432 naïve HIV patients that had at least two CD4 count measurements for the period. The relationship between CD4 cell count and time was modeled using a semi parametric mixed effects model while the Cox proportional hazards model was used to assess factors associated with the first regimen change.

RESULTS

Majority of the patients were females and the average CD4 count at start of treatment was 362.1 [Formula: see text]. The CD4 count measurements increased nonlinearly over time and these trends were similar regardless of the treatment regimen administered to the patients. The change of logarithm CD4 cell count rises fast for in the first 450 days of antiretroviral initiation. The average time to first regimen change was 2142 days. Tenoforvir (TDF) based regimens had a lower drug substitution(aHR 0.2682, 95% CI:0.08263- 0.8706) compared to Zidovudine(AZT).

CONCLUSION

The backbone used was found to be associated with regimen changes among the patients with fewer switches being observed, with the use of TDF when compared to AZT. There was however no significant difference between TDF and AZT in terms of the rate of change in logarithm CD4 count over time.

Risk factors for delayed viral suppression on first-line antiretroviral therapy among persons living with HIV in Haiti, 2013-2017

Studies of viral suppression on first-line antiretroviral therapy (ART) in persons living with human immunodeficiency virus (PLHIV) in Haiti are limited, particularly among PLHIV outside of the Ouest department, where the capital Port-au-Prince is located. This study described the prevalence and risk factors for delayed viral suppression among PLHIV in all geographic departments of Haiti between 2013 and 2017. Individuals who received viral load testing 3 to 12 months after ART initiation were included. Data on demographics and clinical care were obtained from the Haitian Active Longitudinal Tracking of HIV database. Multivariable logistic regression was performed to predict delayed viral suppression, defined as a viral load ≥1000 HIV-1 RNA copies/mL after at least 3 months on ART. Viral load test results were available for 3,368 PLHIV newly-initiated on ART. Prevalence of delayed viral suppression was 40%, which is slightly higher than previous estimates in Haiti. In the multivariable analysis, delayed viral suppression was significantly associated with younger age, receiving of care in the Ouest department, treatment with lamivudine (3TC), zidovudine (AZT), and nevirapine (NVP) combined ART regimen, and CD4 counts below 200 cells/mm³. In conclusion, this study was the first to describe and compare differences in delayed viral suppression among PLHIV by geographic department in Haiti. We identified populations to whom public health interventions, such as more frequent viral load testing, drug resistance testing, and ART adherence counseling should be targeted.

Immunologic Response of HIV-Infected Children to Different Regimens of Antiretroviral Therapy: A Retrospective Observational Study

Background

Both abacavir- (ABC-) based and zidovudine- (AZT-) based regimens are widely utilized for managing HIV infection in children. Unfortunately, there is a lack of data regarding their immunological response and associated risk factors in Ethiopia.

Methods

A retrospective hospital-based cohort study was conducted on HIV-infected children in Jimma Medical Center (JMC). A total of 179 records were reviewed by including data from November 2015 to April 2017. Data were collected on sociodemographic, clinical characteristics of patients and drug-related variables. Data analysis was done using STATA 13.1. Mixed-effect linear regression was performed to assess the difference in CD4+ changes between groups adjusting for baseline characteristics. The change in predicted CD4 count attributed to each regimen was also assessed by marginal analysis. P < 0.05 for slope of the random-effect linear regression was used as an indicator for the presence of association.

Result

Of 179 patients, 98 (54.7%) were females. The mean (±SD) duration of follow-up was 939.8 ± 478.3 and 984.92 ± 453.1 days for ABC and AZT groups, respectively. AZT group had a significant CD4+ count gain per visit compared with their ABC counterparts ((β = 20.51, 95% CI [6.37–34.65]), P = 0.004) over time. The regimen AZT + 3TC + LPV/r tended to have an excellent predicted CD4+ lymphocyte count change relative to all other regimens, while ABC + 3TC + LPV/r had the least immunologic recovery (margins 338.0 cells/mm³ versus 249.13 cells/mm³ (P < 0.001)). Baseline CD4+ lymphocyte count, ART group, WHO clinical stages, and viral load were independent predictors for CD4+ change overtime.

Conclusion

AZT-based regimens seem to have better immunological response compared to ABC-based regimens. Immunologic response was described worse in patients with a viral load of >1000copies/ml, low baseline CD4+ count, advanced WHO clinical stages, and ABC-containing regimens. Further study is needed to clarify these aspects.

Prevalence of HIV-1 Drug-Resistance Genotypes Among Unique Recombinant Forms from Yunnan Province, China in 2016-2017

To investigate the prevalence and characteristics of drug-resistance genotypes among unique recombinant forms (URFs) in HIV-1 infected people under long-term antiretroviral treatment failure from Yunnan Province. The plasma samples were collected from antiretroviral therapy (ART)-failure experienced individuals from 2016 to 2017 in Yunnan Province, China. The genotyping drug resistance of HIV-1 pol gene fragments was implemented using in-house assay. According to the analysis of RIP and MEGA 7.0, the HIV-1 strains related to URFs were screened for recombinant identification and drug resistance analysis. A total of 130 pol sequences of HIV-1 URF strains were obtained from 1,121 samples. The proportion of HIV-1 URF strains was 11.6% among the ART-failure individuals from 2016 to 2017 in Yunnan. The overall drug-resistance rate of HIV-1 URF strains was 56.9%. Meanwhile, the percentage of protease inhibitors, nucleoside reverse transcriptase inhibitors (NRTIs), and non-nucleoside reverse transcriptase inhibitors (NNRTIs) resistance was 3.8% (5/130), 36.2% (47/130), and 53.8% (70/130), respectively. Mutations such as M184V/I (35.4%) in NRTIs and K103N/R/S/T (25.4%), V179D/E/T/Y (18.9%), G190A/E/R/S (13.8%), and Y181C (9.2%) in NNRTIs were common among the HIV-1 URF strains relative to other mutations. Factors such as male, sexual transmission pathway, and source of the year 2017 were significantly correlated with the development of HIV-1 URF drug resistance. The emergence of the multiple recombinant forms identified in Yunnan indicates active transmission networks of HIV-1 of different HIV-1 subtype/circulating recombinant forms cross-infection in this region. Therefore, it is necessary to further monitor the molecular epidemiology and drug resistance of HIV-1 in Yunnan.

Incidence and predictors of second-line antiretroviral treatment failure among adults living with HIV in Amhara region: a multi-centered retrospective follow-up study

BACKGROUND

Second-line Antiretroviral Therapy (ART) regimens are used when patients develop treatment failure for first-line drug regimens. It is costly unaffordable and it is not widely available for patients in resource limiting setting, there is a need to maximizing the duration of stay on second-line regimen. This study was conducted to estimate the incidence rate of second-line treatment failure and to identify its predictors among adults living with HIV in the Amhara region.

METHODS

An institution based retrospective follow-up study was conducted from May to June 2017. A total of 1,011 adults on second-line ART who were enrolled between February 2008 and April 2016 were included for final analysis. Kaplan-Meier estimator curves were used to describe the survival function. Semi-parametric proportional hazard model was fitted to identify the predictors of treatment failure.

RESULTS

The overall incidence of second-line treatment failure was 9.86 per 100 person-years. It was high during the first and the last year of follow-up. The rate of second-line treatment failure was higher for patients who didn't change second-line regimens (HR: 1.55, 95%CI: 1.18-2.04), who had poor ART adherence (HR: 1.40, 95%CI: 1.06-1.85), and not taking INH (HR: 1.68, 95%CI: 1.23-2.30) as compared to their counter group. The rate of treatment failure for patients who were under WHO clinical stage III at switch (HR: 0.68, 95%CI: 0.50-0.91) was also lower as compared to clients who were under WHO clinical stage I. Furthermore, the rate of treatment failure was higher for clients who were under second-line regimen "TDF-3TC-LPV/r" (HR: 1.55, 95%CI: 1.03-2.32) and "AZT-3TC-LPV/r" (HR: 3.00, 95%CI: 1.86-4.85) as compared to patients under "ABC-ddI-LPV/r" regimens.

CONCLUSIONS

A high incidence rate of second-line treatment failure was noticed in the study setting. The rate of second-line treatment failure was higher for patients who didn't change drug regimens, who had poor ART adherence, and who were not taking INH. Therefore, addressing significant predictors to prevent treatment failure among ART patients is essential and sustainable monitoring to reduce the risk of treatment failure is also desirable.

Impact of initiation of combination antiretroviral therapy according to the WHO recommendations on the survival of HIV-positive patients in Taiwan

BACKGROUND/PURPOSE

Early initiation of antiretroviral therapy (ART) reduces the risks for serious infections and mortality. We aimed to assess the outcomes of initiating ART among HIV-positive Taiwanese according to the CD4 cut-off values by the WHO recommendations.

METHODS

We reviewed medical records of patients with newly diagnosed HIV infection between 2004 and 2015 and 3 groups of patients were defined according to the timing of ART initiation based on CD4 count recommended by WHO: Group 1 between 2004 and 2009; Group 2 between 2010 and 2012; and Group 3 between 2013 and 2015. The primary outcome was all-cause mortality. All patients were followed until 2 years after the last patient was included in each group.

RESULTS

Of 2022 patients included, the mortality rate was 18.28, 14.01, and 9.10 deaths per 1000 person-years of follow-up (PYFU) in Groups 1, 2, and 3, respectively. In multivariable Cox regression analysis, factors associated with mortality were age (per 1-year increase, adjusted hazard ratio [AHR], 1.06; 95% CI, 1.05-1.08), presence of AIDS-defining disease at HIV diagnosis (AHR, 4.81; 95% CI, 2.99-7.74), solid-organ malignancy (AHR, 3.10; 95% CI, 1.86-5.18), and initiation of ART (AHR, 0.09; 95% CI, 0.05-0.16). By competing risk regression model for non-AIDS-related death, the AHR for Group 3 versus Group 1 was 0.27 (95% CI, 0.09-0.80).

CONCLUSIONS

While continued efforts are needed to improve early diagnosis and linkage to care, initiation of cART improved survival among HIV-positive patients in Taiwan according to the increasing CD4 cut-off values that were recommended by the WHO.

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.

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.