Low-Level Viremia Is Associated With Cumulative Adherence to Antiretroviral Therapy in Persons With HIV

Using a patient-reported outcome measure to assess quality of life at Western Sydney Sexual Health Centre

Background Attaining a good quality of life (QOL) is a priority for people living with HIV (PLHIV). We explored the interaction between QOL and the associated demographic, behavioural and clinical factors for PLHIV attending an outer-metropolitan clinical setting in Western Sydney, Australia. The clinic's cohort of PLHIV is characterised by relatively high proportions of women, heterosexual men, and patients from culturally and linguistically diverse (CALD) communities. Methods We assessed QOL using the PozQol tool that is specifically designed for PLHIV. QOL scores and de-identified socio-demographic and clinical data were extracted from the electronic and paper medical records of PLHIV who completed a PozQol tool (September 2020-March 2022). We performed descriptive analyses and logistic regression to identify associations. Results Among 188 patients, there were 77.7% men, 21.3% women, 1.1% transwomen; 67.0% were born overseas, 85.1% spoke English, 84.4% were Medicare-eligible, 85.9% were employed, 58.5% were diagnosed with HIV 6-20years ago, and 33.0% within the past 5years. Overall, 58.0% had a high or very high QOL. A low score in any domain was associated with Medicare-ineligibility. Low QOL scores in specific domains were associated with the following factors: health (being born overseas, having partners of both sexes), psychological (unemployment, having a mental health condition, having a viral load >20 copies/mL), social (unemployment), and functional (Medicare-eligibility, unemployment, having a viral load >20 copies/mL). Conclusions The PozQol tool has enhanced understanding of factors impacting on QOL for PLHIV attending our service in Western Sydney. Identifying patients with low QOL scores allows targeted clinical interventions to improve QOL, and re-alignment of clinical services to better support PLHIV.

Low Level Viremia Is Associated With Serious non-AIDS Events in People With HIV

Background

The consequences of low-level viremia in people with HIV are unclear. We used data from the US Military HIV Natural History Study to examine the association of low-level viremia (LLV) and serious non-AIDS events (SNAEs).

Methods

Included participants initiated antiretroviral therapy after 1996 and had ≥3 viral loads (VLs) measured, using an assay with a lower limit of detection of <50 copies/mL, ≥6 months after antiretroviral therapy initiation. VLs were categorized as lower levels of LLV (51-199 copies/mL), higher level of low-level viremia (HLLV; 200-999 copies/mL), and (VF; ≥200 copies/mL on 2 or more successive determinations or a single VL ≥1000 copies/mL), and virologic suppression (VS; ie, VL <50 copies/mL). Viral blips (ie, VLs between 50 and 999 copies/mL that are preceded and succeeded by VL <50 copies/mL) were analyzed in the VS category. Cox proportional hazards models were used to examine the association of LLV and SNAEs, adjusted hazard ratios and 95% confidence intervals are presented.

Results

A total of 439 (17.4%) SNAEs were recorded among the 2528 participants (93% male, 40% Caucasian, 43% African American) followed for a median of 11 years. In 8.5% and 4.6% of the participants, respectively, LLV and HLLV were the highest recorded viremia strata. Compared with VS, SNAEs were associated with LLV (1.3 [1.2-1.4]), HLLV (1.6 [1.5-1.7]), and virologic failure (1.7 [1.7-1.8]).

Conclusions

The results of this study suggest that LLV is associated with the occurrence of SNAEs and needs further study.

Factors Associated with Low-Level Viremia in People Living with HIV in the Italian Antiviral Response Cohort Analysis Cohort: A Case-Control Study

Despite effective antiretroviral therapies (ARTs), a subset of people living with HIV (PLWH) still experience low-level viremia (LLV, i.e., 50-1,000 copies/mL). The present study compared PLWH experiencing LLV with those maintaining virological suppression (VS) and explored the potential impact of preexisting drug resistance and other factors on LLV. We conducted a retrospective, 1:1 matched case-control study within a cohort of drug-experienced VS subjects from the Italian Antiviral Response Cohort Analysis database, followed in the period 2009-2019. Cases were individuals experiencing LLV, while controls were those who maintained VS. Matching was for calendar year of first ART regimen. Preexisting drug resistance was calculated as cumulative genotypic susceptibility score (GSS) according to regimen administered at the observational period start. To explore the effect of cumulative GSS, treated as a binary variable (≥2 and <2) and other factors on LLV, we performed a logistic regression analysis. Within a main population of 3,455 PLWH, 337 cases were selected. Cases were comparable to the controls for both gender and age. However, cases showed that they had experienced a longer time since HIV diagnosis, a higher number of drugs previously administered, lower baseline CD4+ T cell count and a higher zenith viral load (VL). By multivariate analysis, we found that higher zenith VL [adjusted odds ratio (aOR) (95% confidence interval [CI]) 1.30 (1.14-1.48)], a cumulative usage of both PI [aOR (95% CI): 2.03 (1.19-3.48)] and InSTI [aOR (95% CI): 2.23 (1.47-3.38)] and a cumulative GSS <2 [aOR (95% CI) 0.67 (0.46-0.98)], were associated with a higher risk in developing LLV. In current high-efficacy ART era, in drug-experienced PLWH, the predictors of increased risk of LLV were the presence of preexisting drug resistance, higher zenith VL, and previous PI, and InSTI exposure.

Dynamics of Low-Level Viremia and Immune Activation after Switching to a Darunavir-Based Regimen

There is an ongoing debate regarding whether low-level viremia (LLV), in particular persistent LLV, during HIV treatment with optimal adherence originates from low-level viral replication, viral production, or both. We performed an observational study in 30 individuals with LLV who switched to a boosted darunavir (DRV)-based therapy. In-depth virological analyses were used to characterize the viral population and the (activity) of the viral reservoir. Immune activation was examined using cell-bound and soluble markers. The primary outcome was defined as the effect on HIV-RNA and was categorized by responders (<50 cp/mL) or non-responders (>50 cp/mL). At week 24, 53% of the individuals were considered responders, 40% non-responders, and 7% could not be assigned. Sequencing showed no evolution or selection of drug resistance in the non-responders. Production of defective virus with mutations in either the protease (D25N) or RT active site contributed to persistent LLV in two individuals. We show that in about half of the study participants, the switch to a DRV-based regimen resulted in a viral response indicative of ongoing low-level viral replication as the cause of LLV before the switch. Our data confirm that in clinical management, high genetic barrier drugs like DRV are a safe choice, irrespective of the source of LLV.

Low-level HIV viraemia during antiretroviral therapy: Longitudinal patterns and predictors of viral suppression

OBJECTIVES

Our objective was to characterize longitudinal patterns of viraemia and factors associated with viral suppression in people with HIV and low-level viraemia (LLV) during antiretroviral therapy (ART).

METHODS

We included people with HIV in the EuResist Integrated Database with LLV following ART initiation after 2005. LLV was defined as two or more consecutive viral load (VL) measurements of 51-199 copies/mL 30-365 days apart after >12 months of ART. Viraemia patterns were analyzed over 24 months. Factors associated with viral suppression at 12 months after LLV episodes were identified using univariable and multivariable logistic regression.

RESULTS

Of 25 113 people with HIV, 2474 (9.9%) had LLV. Among 1387 participants with 24 months of follow-up after LLV, 406 (29%) had persistent suppression, 669 (48%) had transient viraemic episodes, 29 (2%) had persistent LLV, and 283 (20%) had virological failure. Following LLV episodes, the proportion with detectable viraemia declined (p for trend <0.001 and 0.034, in the first and second year, respectively). At 12 months, 68% had undetectable VL, which was associated with suppression before LLV (adjusted odds ratio [aOR] 1.7; 95% confidence interval [CI] 1.2-2.4) and ART modification after LLV (aOR 1.6; 95% CI 1.0-2.4). The following factors were negatively associated with undetectable VL at 12 months: higher VL during LLV (aOR 0.57 per log10 copies/mL; 95% CI 0.37-0.89), injecting drug use (aOR 0.67; 95% CI 0.47-0.96), and regimens with protease inhibitors (aOR 0.65; 95% CI 0.49-0.87) or combined anchor drugs (aOR 0.52; 95% CI 0.32-0.85).

CONCLUSION

Most people with LLV did not experience sustained viral suppression during 24-month follow-up, supporting the association between LLV and inferior treatment outcome.

Predictors of Post-switch Viremia in People With HIV on Injectable Cabotegravir/Rilpivirine

BACKGROUND

Predictors of virologic failure in those receiving long-acting injectable (LAI) cabotegravir/rilpivirine (CAB/RPV) have been evaluated; however, factors associated with low-level viremia, including blips and persistent low-level viremia (pLLV), are not well-described.

METHODS

A retrospective cohort study was performed using data from April 2021 through December 2022. Inclusion criteria included treatment with CAB/RPV for at least 3 months, availability of pre- and postswitch HIV RNA values, HIV RNA value of <200 copies/mL (cpm) at the time of switch to CAB/RPV, and at least 1 postswitch HIV RNA collected >21 days after the start of CAB/RPV. Outcomes included incidence of HIV RNA ≥20, ≥50, and ≥200 cpm after switch and factors associated with detectable HIV RNA after switch.

RESULTS

The median duration of follow-up among 144 participants was 287 days. After switching to CAB/RPV, occurrences of at least 1 HIV RNA ≥20, ≥50, and ≥200 cpm after switch were 34.7%, 15.3%, and 2.8%, respectively. Those with pLLV before switch were significantly more likely to have detectable HIV RNA after switch [hazard ratio 24.39 (8.71-68.34)], and 44.4% of those with pLLV before switch continued with pLLV after switch to LAI CAB/RPV. Body mass index, late injection, and monthly versus every two-month dosing were not associated with detectable viremia after switch.

CONCLUSIONS

Despite virologic suppression at the time of switch and the perceived adherence benefits, participants still experienced blips or pLLV after switch to LAI CAB/RPV. Having detectable HIV RNA on oral therapy before switch was associated with detectable HIV RNA after switching.

Viral and host mediators of non-suppressible HIV-1 viremia

Non-suppressible HIV-1 viremia (NSV) is defined as persistent low-level viremia on antiretroviral therapy (ART) without evidence of ART non-adherence or significant drug resistance. Unraveling the mechanisms behind NSV would broaden our understanding of HIV-1 persistence. Here we analyzed plasma virus sequences in eight ART-treated individuals with NSV (88% male) and show that they are composed of large clones without evidence of viral evolution over time in those with longitudinal samples. We defined proviruses that match plasma HIV-1 RNA sequences as 'producer proviruses', and those that did not as 'non-producer proviruses'. Non-suppressible viremia arose from expanded clones of producer proviruses that were significantly larger than the genome-intact proviral reservoir of ART-suppressed individuals. Integration sites of producer proviruses were enriched in proximity to the activating H3K36me3 epigenetic mark. CD4+ T cells from participants with NSV demonstrated upregulation of anti-apoptotic genes and downregulation of pro-apoptotic and type I/II interferon-related pathways. Furthermore, participants with NSV showed significantly lower HIV-specific CD8+ T cell responses compared with untreated viremic controllers with similar viral loads. We identified potential critical host and viral mediators of NSV that may represent targets to disrupt HIV-1 persistence.

HIV-1 RNA and DNA genotyping drug resistance detection in patients with low-level viremia in Liangshan, China

In this study, we characterized HIV-1 RNA and HIV-1 DNA genotyping drug resistance detection in patients with low-level viremia in Liangshan, China. Whole blood samples were collected from HIV/AIDS patients who had received anti-retroviral therapy for more than six months and whose HIV-1 RNA loads were 50-1000 copies/mL for two consecutive times at least one month apart. The patients were enrolled from a county in Liangshan Yi Autonomous Prefecture, Sichuan Province between May 2021 and May 2022. Plasma and blood cells were separated. Plasma samples were tested for HIV-1 RNA genotyping drug resistance, while blood cell samples were tested for HIV-1 DNA genotyping drug resistance. Then, HIV-1 RNA and HIV-1 DNA genotyping drug resistance outcomes were compared. Among the 32 participants, 16 were males while 16 were females; with the median age of 34.5 years. The main HIV-1 infection route was heterosexual transmission. The median anti-retroviral therapy duration was 3.9 years. Two types of nucleoside reverse transcriptase inhibitors (NRTIs) + one non-nucleoside reverse transcriptase inhibitors (NNRTIs) were the main antiviral therapeutic options. Pol region genes for 28 HIV-1 DNA samples and 10 HIV-1 RNA samples were successfully amplified. The success rate of pol region genes amplification for HIV-1 DNA was significantly higher than that of HIV-1 RNA (χ2 = 20.988, P < 0.05). In HIV-1 RNA and HIV-1 DNA samples, M184 (4/8) and K103 (3/8) were the most frequent drug resistance mutation sites. Among the NNRTIs, the rates of drug resistance were highest to EFV (6/8) and NVP (6/8) while among the NRTIs, the rates of drug resistance were highest to ABC (4/8), FTC (4/8) and 3TC (4/8). In conclusion, detection of HIV-1 RNA genotyping drug resistance combined with HIV-1 DNA genotyping drug resistance can improve the success rate of drug resistance detection in patients with low-level viremia.

Beyond Undetectable: Modeling the Clinical Benefit of Improved Antiretroviral Adherence in Persons With Human Immunodeficiency Virus With Virologic Suppression

Background

Incomplete antiretroviral therapy (ART) adherence has been linked to deleterious immunologic, inflammatory, and clinical consequences, even among virally suppressed (<50 copies/mL) persons with human immunodeficiency virus (PWH). The impact of improving adherence in the risk of severe non-AIDS events (SNAEs) and death in this population is unknown.

Methods

We estimated the reduction in the risk of SNAEs or death resulting from an increase in ART adherence by (1) applying existing data on the association between adherence with high residual inflammation/coagulopathy in virally suppressed PWH, and (2) using a Cox proportional hazards model derived from changes in plasma interleukin 6 (IL-6) and D-dimer from 3 randomized clinical trials. Comparatively, assuming 100% ART adherence in a PWH who achieves viral suppression, we estimated the number of persons in whom a decrease in adherence to <100% would need to be observed for an additional SNAE or death event to occur during 3- and 5-year follow-up.

Results

Increasing ART adherence to 100% in PWH who are suppressed on ART despite imperfect adherence translated into a 6%-37% reduction in the risk of SNAEs or death. Comparatively, based on an anticipated 12% increase in IL-6, 254 and 165 PWH would need to decrease their adherence from 100% to <100% for an additional event to occur over 3- and 5-year follow-up, respectively.

Conclusions

Modest gains in ART adherence could have clinical benefits beyond virologic suppression. Increasing ART adherence (eg, via an intervention or switch to long-acting ART) in PWH who remain virally suppressed despite incomplete adherence should be evaluated.

Influencing factors and adverse outcomes of different virologic rebound states in antiretroviral treated HIV/AIDS patients

Antiretroviral therapy (ART) aims to inhibit HIV replication, decrease CD4 T cell loss, and immune function recovery in order to reduce the morbidity and mortality associated with the infection. Treatment should also, improve quality of life and control HIV spread. However, incomplete viral suppression still occurs during ART. Viral suppression and virological failure (VF) thresholds vary between studies in terms of virological rebound (VR) states using different detection thresholds. Further understanding of influencing factors and adverse outcomes in various VR states should provide important guidance for HIV treatment.

Cumulative Human Immunodeficiency Virus (HIV)-1 Viremia Is Associated With Increased Risk of Multimorbidity Among US Women With HIV, 1997-2019

Background

To evaluate the effect of cumulative human immunodeficiency virus (HIV)-1 viremia on aging-related multimorbidity among women with HIV (WWH), we analyzed data collected prospectively among women who achieved viral suppression after antiretroviral therapy (ART) initiation (1997-2019).

Methods

We included WWH with ≥2 plasma HIV-1 viral loads (VL) <200 copies/mL within a 2-year period (baseline) following self-reported ART use. Primary outcome was multimorbidity (≥2 nonacquired immune deficiency syndrome comorbidities [NACM] of 5 total assessed). The trapezoidal rule calculated viremia copy-years (VCY) as area-under-the-VL-curve. Cox proportional hazard models estimated the association of time-updated cumulative VCY with incident multimorbidity and with incidence of each NACM, adjusting for important covariates (eg, age, CD4 count, etc).

Results

Eight hundred six WWH contributed 6368 women-years, with median 12 (Q1-Q3, 7-23) VL per participant. At baseline, median age was 39 years, 56% were Black, and median CD4 was 534 cells/mm3. Median time-updated cumulative VCY was 5.4 (Q1-Q3, 4.7-6.9) log10 copy-years/mL. Of 211 (26%) WWH who developed multimorbidity, 162 (77%) had incident hypertension, 133 (63%) had dyslipidemia, 60 (28%) had diabetes, 52 (25%) had cardiovascular disease, and 32 (15%) had kidney disease. Compared with WWH who had time-updated cumulative VCY <5 log10, the adjusted hazard ratio of multimorbidity was 1.99 (95% confidence interval [CI], 1.29-3.08) and 3.78 (95% CI, 2.17-6.58) for those with VCY 5-6.9 and ≥7 log10 copy-years/mL, respectively (P < .0001). Higher time-updated cumulative VCY increased the risk of each NACM.

Conclusions

Among ART-treated WWH, greater cumulative viremia increased the risk of multimorbidity and of developing each NACM, and hence this may be a prognostically useful biomarker for NACM risk assessment in this population.

The influence of low-level viremia on CD4+ cell count in human immunodeficiency virus-infected patients

BACKGROUND

Following initiation of combined antiretroviral therapy, the majority of human immunodeficiency virus-infected patients experience immune reconstitution indicated by virologic suppression and an increase in peripheral CD4+ T-cell counts. Some patients may suffer from low-level viremia, which was reported to be significantly associated with acquired immunodeficiency syndrome cases, virologic failure, and death. We aimed to further investigate the influence of low-level viremia on CD4+ T-cell count.

METHODS

In our study, we included human immunodeficiency virus-seropositive patients on combined antiretroviral therapy, for at least 6 months, who received at least one assessment of human immunodeficiency virus plasma viral load and CD4+ cell count every 6 months, from January 2009 to January 2019. The copy-year viremia was determined by calculating the area under the curve of the plasma human immunodeficiency virus viral load.

RESULTS

When comparing patients with a mean CD4+ cell count <200 cells/μL, there was no significant difference between patients with a mean viral load <1000 copies/mL and patients with a mean viral load ≥1000 copies/mL (p = 0.219). Among those with a mean viral load <1000 copies/mL, a higher proportion of patients had a mean CD4+ cell count ≥500 cells/µL (p < 0.001). The mean CD4+ cell count of patients with copy-years viremia (log10) <4 (577.7, interquartile range 429.2-736.7) was significantly higher than that of patients with copy-years viremia (log10) ≥4 (443.3, interquartile range 319.0-558.4) (p < 0.001). In multivariate logistic regression analysis, we observed that malignancy without history, lower copy-years viremia, and high nadir CD4+ cell count were independent predictors of mean CD4+ cell count ≥500 cells/µL.

CONCLUSION

Human immunodeficiency virus-infected patients with a history of malignancy, high copy-year viremia, and lower nadir CD4+ cell counts should be monitored carefully in clinical settings.

Virologic Failure Following Low-level Viremia and Viral Blips During Antiretroviral Therapy: Results From a European Multicenter Cohort

BACKGROUND

It is unclear whether low-level viremia (LLV), defined as repeatedly detectable viral load (VL) of <200 copies/mL, and/or transient viremic episodes (blips) during antiretroviral therapy (ART), predict future virologic failure. We investigated the association between LLV, blips, and virologic failure (VF) in a multicenter European cohort.

METHODS

People with HIV-1 who started ART in 2005 or later were identified from the EuResist Integrated Database. We analyzed the incidence of VF (≥200 copies/mL) depending on viremia exposure, starting 12 months after ART initiation (grouped as suppression [≤50 copies/mL], blips [isolated VL of 51-999 copies/mL], and LLV [repeated VLs of 51-199 copies/mL]) using Cox proportional hazard models adjusted for age, sex, injecting drug use, pre-ART VL, CD4 count, HIV-1 subtype, type of ART, and treatment experience. We queried the database for drug-resistance mutations (DRM) related to episodes of LLV and VF and compared those with baseline resistance data.

RESULTS

During 81 837 person-years of follow-up, we observed 1424 events of VF in 22 523 participants. Both blips (adjusted subhazard ratio [aHR], 1.7; 95% confidence interval [CI], 1.3-2.2) and LLV (aHR, 2.2; 95% CI, 1.6-3.0) were associated with VF, compared with virologic suppression. These associations remained statistically significant in subanalyses restricted to people with VL <200 copies/mL and those starting ART 2014 or later. Among people with LLV and genotype data available within 90 days following LLV, 49/140 (35%) had at least 1 DRM.

CONCLUSIONS

Both blips and LLV during ART are associated with increased risk of subsequent VF.

More HIV-1 RNA detected and quantified with the Cobas 6800 system in patients on antiretroviral therapy

BACKGROUND

Target-detected (TD) results or low-level viraemia (LLV) can be observed in HIV-1 patients on ART, which regularly raises questions.

OBJECTIVES

We describe here the impact on HIV-1 RNA quantification of switching from the COBAS AmpliPrep/COBAS TaqMan (CAP/CTM) to the Cobas 6800 system (C6800), based on analyses of viraemia close to the lower limit of quantification (LLoQ).

PATIENTS AND METHODS

We retrospectively selected two groups of patients: 200 individuals whose viral loads (VLs) were consistently <50 copies/mL with CAP/CTM for at least 3 years before switching to C6800 (group 1), and 35 other patients with confirmed LLV when C6800 was in use (group 2). In both groups, we compared several consecutive VL results performed before and after the change of quantification assay. Analyses were performed with McNemar's paired tests or Fisher's exact tests.

RESULTS

In group 1, the frequency of TD results (below or above the LLoQ) increased significantly after the switch to C6800 for patients with <25% of results being TD for VLs performed with CAP/CTM (P < 0.0001). Significantly more patients had at least one VL ≥20 or ≥50 copies/mL with C6800, in both group 1 (37.0% versus 18.5%; P < 0.0001 and 6.5% versus 0%; P = 0.0009, respectively) and group 2 (100% versus 66%; P = 0.0015 and 97% versus 40%; P < 0.0001, respectively).

CONCLUSIONS

C6800 revealed residual or low-level HIV-1 RNA that was not detected with CAP/CTM, resulting in twice as many patients being found to have a VL ≥20 copies/mL. Physicians and patients should be aware of possible differences in results between assays, and it is crucial to specify the quantitative assay used in studies.