A cross-sectional study to evaluate second line virological failure and elevated bilirubin as a surrogate for adherence to atazanavir/ritonavir in two urban HIV clinics in Lilongwe, Malawi

Virological failure and its predictors among human immunodeficiency virus infected individuals on second line antiretroviral treatment in North-East Ethiopia, 2021

INTRODUCTION

Acquired immune deficiency syndrome (AIDS) becomes a manageable chronic disease due to the presence of effective prevention, diagnosis, treatment, and care accesses. Viral load cascade analyses are important to identify gaps in human immunodeficiency virus (HIV)/AIDS treatment and care for quality improvements.

OBJECTIVE

Time to Virological Failure and its Predictors among HIV Infected Individuals on Second Line Antiretroviral Treatment (SLART) in North-East Ethiopia, 2021.

METHODS

Institution-based retrospective follow-up study was conducted on 474 HIV-infected individuals who were on SLART between September 2016 and April 2020. A universal sampling technique was used to recruit study participants. Data were entered by EpiData-3.3.1 and analyzed by STATA-14. Cox proportional hazard assumptions were checked to determine the effect of predictor variables on virological failure (VF). The study was conducted from February 1 to April 30, 2021.

RESULTS

The rate of VF in this study was 15.4% with an incidence rate of 4.93 per 100 person-years. As participants' age and duration of ART use increased by 1 year the hazards of VF was reduced by 2.9% (AHR: 0.971, 95% CI: 0.945, 0.995) and 10.6% (AHR: 0.894, 95% CI: 0.828, 0.963), respectively. The hazards of VF were twice higher among those who were on a non-protease inhibitor-based regimen. Individuals who had a history of making enhanced adherence counseling (EAC) sessions during SLART had three times more risk to develop VF (AHR: 3.374, 95% CI: 1.790, 6.361).

CONCLUSION AND RECOMMENDATIONS

The rate of VF among SLART users was high. Keeping SLART users on PI-based regimens may improve virological outcomes in HIV care and treatment. Making EAC sessions effective in promoting better ART adherence might reduce VF.

Second-Line Antiretroviral Treatment Outcomes and Predictors in Tigray Region, Ethiopia

Introduction

Ethiopia has one of the highest HIV burdens in sub-Saharan Africa. Despite the fact that second-line antiretroviral therapy (ART) has been available for more than ten years, studies on its effectiveness are scarce.

Objective

To assess treatment outcomes and predictors of unfavorable outcomes in HIV patients receiving second-line ART at Ayder Comprehensive Specialized Hospital and Mekelle Hospital.

Materials and Methods

An institution-based retrospective cohort study was conducted in two hospitals in Tigray Region, Ethiopia. We evaluated 192 patients aged ≥15 years who were switched to second-line from November 2009 to May 2020 after failure of first-line ART. The primary outcome was the time from the initiation of second-line ART to the occurrence of unfavorable treatment outcomes (treatment failure, death, and loss to follow-up). We performed Kaplan-Meier survival estimates to calculate the cumulative incidence rates of unfavorable outcomes.

Results

The mean age (SD) at the initiation of second-line ART was 39 (10.03) years, and the median CD4 cell count was 121 cells/microL. During a median follow-up of 4.6 years, 24 (12.5%) patients had died, 11 (5.7%) patients were lost to follow up, and 47 (24,4%) patients were experienced treatment failure. The incidence rates for unfavorable outcomes were 7.8 per 100 patients/years. Predictors for unfavorable outcomes were body mass index (BMI) <18.5 (adjusted hazard ratio [aHR] = 2.51, 95% confidence interval (CI): 1.27-4.95) and CD4 counts ≤100 cells/microL (aHR = 1.74, 95% CI: 1.09-2.79). Despite the failure of second-line ART, none of the patients received third-line ART.

Conclusion

The incidence rate of unfavorable treatment outcomes for second-line ART was found to be high. A low BMI and a low baseline CD4 count were significant predictors of unfavourable outcomes and should be given special consideration in HIV care. A third-line ART regimen should also be considered for people who have failed second-line ART.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Measuring patient engagement with HIV care in sub-Saharan Africa: a scoping study

INTRODUCTION

Engagement with HIV care is a multi-dimensional, dynamic process, critical to maintaining successful treatment outcomes. However, measures of engagement are not standardized nor comprehensive. This undermines our understanding of the scope of challenges with engagement and whether interventions have an impact, complicating patient and programme-level decision-making. This study identified and characterized measures of engagement to support more consistent and comprehensive evaluation.

METHODS

We conducted a scoping study to systematically categorize measures the health system could use to evaluate engagement with HIV care for those on antiretroviral treatment. Key terms were used to search literature databases (Embase, PsychINFO, Ovid Global-Health, PubMed, Scopus, CINAHL, Cochrane and the World Health Organization Index Medicus), Google Scholar and stakeholder-identified manuscripts, ultimately including English evidence published from sub-Saharan Africa from 2014 to 2021. Measures were extracted, organized, then reviewed with key stakeholders.

RESULTS AND DISCUSSION

We screened 14,885 titles/abstracts, included 118 full-texts and identified 110 measures of engagement, categorized into three engagement dimensions ("retention," "adherence" and "active self-management"), a combination category ("multi-dimensional engagement") and "treatment outcomes" category (e.g. viral load as an end-result reflecting that engagement occurred). Retention reflected status in care, continuity of attendance and visit timing. Adherence was assessed by a variety of measures categorized into primary (prescription not filled) and secondary measures (medication not taken as directed). Active self-management reflected involvement in care and self-management. Three overarching use cases were identified: research to make recommendations, routine monitoring for quality improvement and strategic decision-making and assessment of individual patients.

CONCLUSIONS

Heterogeneity in conceptualizing engagement with HIV care is reflected by the broad range of measures identified and the lack of consensus on "gold-standard" indicators. This review organized metrics into five categories based on the dimensions of engagement; further work could identify a standardized, minimum set of measures useful for comprehensive evaluation of engagement for different use cases. In the interim, measurement of engagement could be advanced through the assessment of multiple categories for a more thorough evaluation, conducting sensitivity analyses with commonly used measures for more comparable outputs and using longitudinal measures to evaluate engagement patterns. This could improve research, programme evaluation and nuanced assessment of individual patient engagement in HIV care.

Incidence and Predictors of Virological Failure Among Adult HIV/AIDS Patients on Second-Line Anti-Retroviral Therapy, in Selected Public Hospital of Addis Ababa, Ethiopia: Retrospective Follow-Up Study

Introduction

Objective

Methods

Results

Conclusion

Determinants of Virologic Failure Among Adults on Second Line Antiretroviral Therapy in Wollo, Amhara Regional State, Northeast Ethiopia

Background

Treatment failure among the population on second line antiretroviral therapy is a major public health threat. In Ethiopia there has been limited research done on second line treatment failure.

Objective

To identify determinants of virologic failure among adults on second line antiretroviral therapy in six public hospitals of Wollo, Amhara regional state, northeast Ethiopia.

Methods

An institution-based unmatched case–control study was conducted from February 1, 2020 to April 30, 2020 on a total of 377 clients in six public hospitals of Wollo, Amhara regional state, northeast Ethiopia. Clients whose viral load result >1,000 copies/mL in two consecutive results at least 3 month apart were cases, while ≤1,000 copies/mL were controls. The sample size was calculated by using Epi-Info version 7. Cases (94) and controls (283) were selected using a simple random sampling method in a ratio of cases-to-controls of 1:3. The model fitted and binary logistic assumptions were fulfilled with 95% confidence level and P-values<0.05 were taken as statistically significant.

Results

Virologic failure was predicted by poor adherence (AOR=6.060, 95% CI=2.837–12.944), not disclosing their HIV status (AOR=4.178, 95% CI=1.431–12.198), OI (AOR=4.11, 95% CI=1.827–9.246), CD4 count <100 cells/mm³ (AOR=3.497, 95% CI=1.233–9.923) and 100–350 cells/mm³ (AOR=5.442, 95% CI=2.191–13.513), low BMI <16 kg/m² (AOR=7.223, 95% CI=2.218–23.520), and young age 15–29 years (AOR=2.898, 95% CI=1.171–7.170).

Conclusion and Recommendations

Determinants of second line ART virologic failure were patients who had poor adherence to ART, not disclosed, opportunistic infection, low CD4 counts <350 cell/mm³, low BMI (<16 kg/m²), and young age 15–29 year patients. Social support, disclosing their HIV status, and getting early treatment for any opportunistic infection is crucial to patients.

Second-line HIV treatment failure in sub-Saharan Africa: A systematic review and meta-analysis

BACKGROUND

Increased second-line antiretroviral therapy (ART) failure rate narrows future options for HIV/AIDS treatment. It has critical implications in resource-limited settings; including sub-Saharan Africa (SSA) where the burden of HIV-infection is immense. Hence, pooled estimate for second-line HIV treatment failure is relevant to suggest valid recommendations that optimize ART outcomes in SSA.

METHODS

We retrieved literature systematically from PUBMED/MEDLINE, EMBASE, CINAHL, Google Scholar, and AJOL. The retrieved studies were screened and assessed for eligibility. We also assessed the eligible studies for their methodological quality using the Joanna Briggs Institute's appraisal checklist. The pooled estimates for second-line HIV treatment failure and its associated factors were determined using STATA, version 15.0 and MEDCALC, version 18.11.3, respectively. We assessed publication bias using Comprehensive Meta-analysis software, version 3. Detailed study protocol for this review/meta-analysis is registered and found on PROSPERO (ID: CRD42018118959).

RESULTS

A total of 33 studies with the overall 18,550 participants and 19,988.45 person-years (PYs) of follow-up were included in the review. The pooled second-line HIV treatment failure rate was 15.0 per 100 PYs (95% CI: 13.0-18.0). It was slightly higher at 12-18 months of follow-up (19.0/100 PYs; 95% CI: 15.0-22.0), in children (19.0/100 PYs; 95% CI: 14.0-23.0) and in southern SSA (18.0/100 PYs; 95% CI: 14.0-23.0). Baseline values (high viral load (OR: 5.67; 95% CI: 13.40-9.45); advanced clinical stage (OR: 3.27; 95% CI: 2.07-5.19); and low CD4 counts (OR: 2.80; 95% CI: 1.83-4.29)) and suboptimal adherence to therapy (OR: 1.92; 95% CI: 1.28-2.86) were the factors associated with increased failure rates.

CONCLUSION

Second-line HIV treatment failure has become highly prevalent in SSA with alarming rates during the 12-18 month period of treatment start; in children; and southern SSA. Therefore, the second-line HIV treatment approach in SSA should critically consider excellent adherence to therapy, aggressive viral load suppression, and rapid immune recovery.

Retention in care and virological failure among adult HIV+ patients on second-line ART in Rwanda: a national representative study

Background

Currently, there is limited evidence on the effectiveness of second-line antiretroviral therapy (ART) in sub-Saharan Africa. To address this challenge, outcomes of second-line protease inhibitor (PI) based ART in Rwanda were assessed.

Methods

A two-stage cluster sampling design was undertaken. 49 of 340 health facilities linked to the open-source electronic medical record (EMR) system of Rwanda were randomly sampled. Data sampling criteria included adult HIV positive patients with documented change from first to second-line ART regimen. Retention in care and treatment failure (viral load above 1000 copies/mL) were evaluated using multivariable Cox proportional hazards and logistic regression models.

Results

A total of 1688 patients (60% females) initiated second-line ART PI-based regimen by 31st December 2016 with a median follow-up time of 26 months (IQR 24–36). Overall, 92.5% of patients were retained in care; 83% achieved VL ≤ 1000 copies/ml, 2.8% were lost to care and 2.2% died. Defaulting from care was associated with more recent initiation of ART- PI based regimen, CD4 cell count ≤500 cells/mm³ at initiation of second line ART and viral load > 1000 copies/ml at last measurement. Viral failure was associated with younger age, WHO stage III&IV at ART initiation, CD4 cell count ≤500 cells/mm³ at switch, atazanavir based second-line ART and receiving care at a health center compared to hospital settings.

Conclusions

A high proportion of patients on second-line ART are doing relatively well in Rwanda and retained in care with low viral failure rates. However, enhanced understandings of adherence and adherence interventions for less healthy individuals are required. Routine viral load measurement and tracing of loss to follow-up is fundamental in resource limited settings, especially among less healthy patients.