Predictors of suboptimal CD4 response among women achieving virologic suppression in a randomized antiretroviral treatment trial, Africa

CD4 testing after initiation of antiretroviral therapy: Analysis of routine data from the South African HIV programme

Background

People living with HIV (PLHIV) who have low CD4 counts require advanced clinical care (ACC) to minimise morbidity and mortality risk. These patients include immunological non-responders (INRs) with low CD4 counts despite a suppressed viral load.

Objectives

To determine the proportion of patients with low CD4 counts after antiretroviral therapy (ART) initiation and to describe INRs within that group.

Methods

Routine Three Interlinked Electronic Registers.Net (TIER.Net) data from four South African districts were analysed for adult PLHIV on ART > 12 months. Immunological non-responders were defined as patients on ART > 4 years who were virally suppressed (viral load < 1000 copies/mL) with a CD4 count ≤ 350 cell/mm³.

Results

Baseline CD4 was recorded for 80.9% of the 869 571 patients newly initiating ART, with 37.2% of those starting ART since 2017 having baseline counts ≤ 200 cells/mm³. Amongst all 1 178 190 patients on ART, only 46.5% had a CD4 test after ART initiation and of these, 14.3% had CD4 ≤ 200 cells/mm³. This proportion was highest amongst patients on ART ≤ 2 years (19.7%) (p < 0.001). Amongst virally suppressed patients, 20.0% were INRs. Immunological non-response was significantly more likely amongst patients on second-line ART (adjusted odds ratio [aOR] 1.79), those aged 35-45 and ≥ 45 years (aOR 1.15 and 1.50, respectively), males (aOR 2.28) and patients with confirmed TB (aOR 2.49), and was significantly less likely in cases with higher baseline CD4 count (aOR 0.35).

Conclusion

CD4 testing subsequent to ART initiation is poorly implemented and there is a notable proportion of patients with low CD4 counts. Guidelines regarding CD4 testing and ACC need to be more widely implemented to identify patients with low CD4 counts and improve their outcomes.

Concurrent advanced HIV disease and viral load suppression in a high-burden setting: Findings from the 2015-6 ZIMPHIA survey

BACKGROUND

As Zimbabwe approaches epidemic control of HIV, programs now prioritize viral load over CD4 monitoring, making it difficult to identify persons living with HIV (PLHIV) suffering from advanced disease (AD). We present an analysis of cross-sectional ZIMPHIA data, highlighting PLHIV with AD and concurrent viral load suppression (VLS).

METHODS

ZIMPHIA collected blood specimens for HIV testing from 22,501 consenting adults (ages 15 years and older); 3,466 PLHIV had CD4 and VL results. Household HIV testing used the national serial algorithm, and those testing positive then received point-of-care CD4 enumeration with subsequent VL testing. We used logistic regression analysis to explore factors associated with concurrent AD and VLS (<1000 copies/mL). All analyses were weighted to account for complex survey design.

RESULTS

Of the 3,466 PLHIV in the survey with CD4 and VL results, 17% were found to have AD (CD4<200cells/mm3). Of all AD patients, 30% had VLS. Concurrent AD and VLS was associated with male sex (aOR 2.45 95%CI 1.61-3.72), older age (35-49 years [aOR 2.46 95%CI 1.03-5.91] and 50+ years [aOR 4.82 95%CI 2.02-11.46] vs 15-24 years), and ART duration (<6 months [aOR 0.46 95%CI 0.29-0.76] and 6-24 months [aOR 2.07 95%CI 1.35-3.17] vs more than 2 years). The relationship between sex and AD is driven by age with significant associations among men aged 25-34, (aOR 3.37 95%CI 1.35-8.41), 35-49 (aOR 5.13 95%CI 2.16-12.18), and 50+ (aOR 12.56 95%CI 4.82-32.72) versus men aged 15-24.

CONCLUSIONS

The percentage of PLHIV with AD and VLS illustrates the conundrum of decreased support for CD4 monitoring, as these patients may not receive appropriate clinical services for advanced HIV disease. In high-prevalence settings such as Zimbabwe, CD4 monitoring support warrants further consideration to differentiate care appropriately for the most vulnerable PLHIV. Males may need to be prioritized, given their over-representation in this sub-population.

Definition of Immunological Nonresponse to Antiretroviral Therapy: A Systematic Review

BACKGROUND

Terms and criteria to classify people living with HIV on antiretroviral therapy who fail to achieve satisfactory CD4 T-cell counts are heterogeneous, and need revision and summarization.

METHODS

We performed a systematic review of PubMed original research articles containing a set of predefined terms, published in English between January 2009 and September 2018. The search retrieved initially 1360 studies, of which 103 were eligible. The representative terminology and criteria were extracted and analyzed.

RESULTS

Twenty-two terms and 73 criteria to define the condition were identified. The most frequent term was "immunological nonresponders" and the most frequent criterion was "CD4 T-cell count <350 cells/µL after ≥24 months of virologic suppression." Most criteria use CD4+ T-cell counts as a surrogate, either as an absolute value or as a change after a defined period of time [corrected]. Distinct values and time points were used. Only 9 of the 73 criteria were used by more than one independent research team. Herein we propose 2 criteria that could help to reach a consensus.

CONCLUSIONS

The high disparity in terms and criteria here reported precludes data aggregation and progression of the knowledge on this condition, because it renders impossible to compare data from different studies. This review will foster the discussion of terms and criteria to achieve a consensual definition.

Risk Factors for Low CD4+ Count Recovery Despite Viral Suppression Among Participants Initiating Antiretroviral Treatment With CD4+ Counts > 500 Cells/mm3: Findings From the Strategic Timing of AntiRetroviral Therapy (START) Trial

BACKGROUND

Low CD4 recovery among HIV-positive individuals who achieve virologic suppression is common but has not been studied among individuals initiating treatment at CD4 counts of >500 cells/mm.

SETTING

United States, Africa, Asia, Europe and Israel, Australia, Latin America.

METHODS

Among participants randomized to immediate antiretroviral therapy (ART) in the Strategic Timing of AntiRetroviral Therapy trial, low CD4 recovery was defined as a CD4 increase of <50 cells/mm from baseline after 8 months despite viral load of ≤200 copies/mL. Risk factors for low recovery were investigated with logistic regression.

RESULTS

Low CD4 recovery was observed in 39.7% of participants. Male sex [odds ratio (OR), 1.53; P = 0.007], lower screening CD4 cell counts (OR, 1.09 per 100 fewer cells/mm; P = 0.004), higher baseline CD8 cell counts (OR, 1.05 per 100 more cells/mm; P < 0.001), and lower HIV RNA levels (OR, 1.93 per log10 decrease; P < 0.001) were associated with low CD4 recovery. D-dimer had a quadratic association with low CD4 recovery, with lowest odds occurring at 0.32 μg/mL. At lower HIV RNA levels, the odds of low CD4 recovery were elevated across the levels of screening CD4 count; but at higher HIV RNA levels, the odds of low CD4 recovery were higher among those with lower vs. higher screening CD4.

CONCLUSIONS

Low CD4 recovery is frequent among participants starting ART at high CD4 counts. Risk factors include male sex, lower screening CD4 cell counts, higher CD8 cell counts, and lower HIV RNA levels. More follow-up is required to determine the impact of low CD4 recovery on clinical outcomes.

Antiretroviral changes during the first year of therapy

INTRODUCTION

The Brazilian HIV/AIDS management and treatment guideline (PCDT), published in 2013, recommends and standardizes the use of highly active antiretroviral therapy (HAART) in all adult patients, in spite of LTCD4 count. This study aimed to analyze the first year of HAART use in patients from a reference center on HIV/AIDS management in Fortaleza, Ceará.

METHOD

This descriptive study reviewed all prescription forms of antiretroviral regimens initiation and changes from January to July 2014. All antiretroviral regimen changes that occurred during the first year of therapy were evaluated. Data were analyzed with SPSS version 20. Mean, standard deviation and frequency, Student's t and Mann-Whitney tests calculations were used, with significance at p<0.05.

RESULTS

From 527 patients initiating HAART, 16.5% (n=87) had a regimen change in the first year. These patients were mostly male (59.8%; n=52), aged 20 to 39 years, with only one HAART change (72.4%; n=63). Efavirenz was the most often changed drug, followed by tenofovir, zidovudine and lopinavir/ritonavir. Mean time of HAART changes was 120 days, with adverse reactions as the most prevalent cause. HAART was effective in decreasing viral load since second month of treatment (p=0.003) and increasing LTCD4 lymphocytes since fifth month (p<0.001).

CONCLUSION

The main cause of initial HAART changes was adverse reaction and most patients had only one change in the HAART regimen. HAART prescription was in accordance to the PCDT from 2013.

Nutritional status and its effect on treatment outcome among HIV infected clients receiving HAART in Ethiopia: a cohort study

Purposes

The aim of this study was to determine the effects of nutritional status at the start of highly active anti-retroviral therapy on treatment outcomes among HIV/AIDS patients taking HAART at Jimma University Specialized Hospital.

Methods

We performed a retrospective cohort study involving 340 adults who started highly active anti-retroviral therapy. The patients have been clinically followed for 2 years. Data were extracted from paper based medical charts by trained data collectors from January 30 to February 28, 2014 using data collection format. We entered data into Epi data version 3.1 and then exported to SPSS for windows version 21. Predictors of CD4 change were identified using multivariable linear regression model. Time to an event (death) was estimated by Kaplan–Meier and predictors of mortality were identified by Cox proportional hazard model.

Results

Out of 340 patients, 42 patients died during the follow-up. Twenty-five (59.5 %) deaths were from malnourished group. Age, baseline CD4, sex, baseline HAART and marital status were significant predictors of immunologic recovery at different time points. Malnutrition was associated with lower CD4 recovery and greater hazard of death.

Conclusions

Malnutrition tends to decrease CD4 recovery and predisposes patient to early death.