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. 2024 Sep 17;100(7):e056199. doi: 10.1136/sextrans-2024-056199

Management of low-level HIV viremia during antiretroviral therapy: Delphi consensus statement and appraisal of the evidence

Lorenzo Vittorio Rindi 1, Drieda Zaçe 1, Mirko Compagno 1, Luna Colagrossi 2, Maria Mercedes Santoro 3, Massimo Andreoni 1, Carlo Federico Perno 2,4, Loredana Sarmati 1,; on behalf of the Low-level HIV Viremia Consensus Panel
PMCID: PMC11503133  PMID: 39288982

Abstract

Abstract

Objective

While antiretroviral therapy (ART) is highly effective, detection of low levels of HIV-1 RNA in plasma is common in treated individuals. Given the uncertainties on the topic, we convened a panel of experts to consider different clinical scenarios, producing a Delphi consensus to help guide clinical practice.

Methods

A panel of 17 experts in infectious diseases, virology and immunology rated 32 statements related to four distinct scenarios: (1) low-level viremia during stable (≥6 months) first-line ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL); (2) a viral blip during otherwise suppressive ART (a HIV-1 RNA measurement 50–1000 copies/mL with adjacent measurements <50 copies/mL); (3) low-level viral rebound during previously suppressive ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL); (4) residual viremia during suppressive ART (persistent HIV-1 RNA quantification below 50 copies/mL). A systematic review, conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement, informed the 32 statements. The Delphi procedure was modified to include two voting rounds separated by a moderated group discussion. Grading of Recommendations, Assessment, Development, and Evaluations-based recommendations were developed.

Results

Overall, 18/32 statements (56.2%) achieved a strong consensus, 3/32 (9.4%) achieved a moderate consensus and 11/32 (34.4%) did not achieve a consensus. Across the four scenarios, the panel unanimously emphasised the importance of implementing specific interventions prior to considering therapy changes, including assessing adherence, testing for genotypic drug resistance and scheduling more frequent follow-up visits. Strategies indicated in selected circumstances included therapeutic drug monitoring, quantifying total HIV-1 DNA and evaluating concomitant chronic infections.

Conclusions

While acknowledging the many uncertainties about source, significance and optimal management of low-level viremia during ART, the findings provide insights to help harmonise clinical practice. There is a need for well-designed randomised studies assessing different interventions to manage low-level viremia and future research regarding its definition.

Keywords: Anti-HIV Agents, Guidelines as Topic, HIV


WHAT IS ALREADY KNOWN ON THIS TOPIC

  • It is well established that antiretroviral therapy (ART) effectively suppresses HIV-1 replication, leading to virological suppression in most individuals. However, low-level viremia (LLV), characterised by persistently or intermittently detectable low levels of HIV-1 RNA in plasma despite good adherence to ART, is a common clinical finding. The interpretation and management of LLV vary due to limited evidence supporting optimal strategies.

WHAT THIS STUDY ADDS

  • This project provides valuable insights into the management of LLV during ART. We conducted a consensus development study involving a panel of experts to address the lack of evidence-based guidelines. Through a systematic review and analysis of available data, this study identifies common clinical scenarios of LLV and proposes interventions tailored to each scenario. Key findings include recommendations on ART regimen modification, genotypic resistance testing, adherence assessment, therapeutic drug monitoring and follow-up strategies.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY

  • The findings of this study offer practical guidance for clinicians in managing LLV during ART, addressing the uncertainties and variations in clinical practice. By providing evidence-based recommendations and suggestions, it helps standardise approaches to LLV management, potentially improving patient outcomes. Additionally, the study highlights the need for further higher quality studies to fill knowledge gaps and refine management strategies.

Introduction

Antiretroviral therapy (ART) is highly effective in suppressing HIV-1 replication and most individuals receiving currently recommended regimens achieve virological suppression.1 2 Despite this success, HIV cannot be eradicated due to the persistence of latently infected cells containing stably integrated HIV-1 DNA.3

In the course of effective ART, some individuals experience persistently or intermittently detection of low HIV-1 RNA levels in plasma despite reporting excellent adherence. Various definitions based on magnitude and persistence are used internationally to describe plasma HIV-1 RNA detection, including residual viremia (RV), low-level viremia (LLV) and viral blip (VB) (table 1).4,8 The interpretation and recommended management vary, reflecting the limited evidence base for this common clinical finding.9

Table 1. Definitions of plasma HIV-1 RNA detection during ART according to different guidelines and the Low-Level HIV Viremia Consensus Panel.

EACS4 JAMA/IAS5 6 HIVinfo.gov/DHHS8 WHO7 LLHV-CP
Residual viremia Not defined HIV RNA levels>20 and <50 copies/mL6 Not defined Not defined Quantifiable HIV-1 RNA levels below 50 copies/mL.
Low-level viremia HIV RNA levels>51 and <200 copies/mL HIV RNA levels 50–200 copies/mL5 6 Confirmed detectable HIV RNA levels<200 copies/mL HIV RNA levels 50–1000 copies/mL ≥2 consecutive HIV RNA measurements between 50 and 500 copies/mL.
Viral blip Not defined An outlier increase in HIV RNA levels to<1000 copies/mL that returns to undetectable levels5 After vs, an isolated detectable HIV-RNA level that is followed by a return to vs An isolated HIV-RNA measurement of 50–1000 copies/mL with a return to suppressed levels A single HIV-1 RNA measurement between 50 and 1000 copies/mL with adjacent measurements<50 copies/mL.
Viral rebound Confirmed HIV RNA levels>50 copies/mL in someone with previously undetectable viremia Not defined After vs, confirmed HIV RNA levels≥200 copies/mL Not defined Confirmed HIV-1 RNA>50 copies/mL following previously suppressed viremia.

ARTantiretroviral therapyDHHSDepartment of Health and Human ServicesEACSEuropean AIDS Clinical SocietyJAMA/IASJournal of American Medical Association/International Antiviral SocietyLLHV-CPLow-Level HIV-1 Viremia Consensus PanelVSviral suppression

In individuals with excellent adherence, the source of plasma HIV-1 RNA is probably multifactorial.2 HIV-1 RNA sequences in plasma typically do not evolve over time, with most evidence attributing the source of plasma HIV-1 RNA to bursts of viral production from memory CD4+ T cells harbouring integrated provirus, with ART immediately blocking further replication.10 One additional mechanism may involve ongoing virus replication due to suboptimal drug potency or exposure or within sanctuary sites characterised by reduced drug penetration and exclusion of immune response.11 Differentiating between these scenarios is important, as changing the ART regimen would only be effective in cases of ongoing virus replication.

Several interventions can be considered in the management of LLV, including investigations of adherence, drug resistance, HIV-1 DNA load (as a measure of the viral reservoir), chronic coinfections, plasma drug concentrations and inflammatory markers. Intensified monitoring with more frequent follow-up visits is common practice, and for some individuals, ART changes may be considered. As clinical practice varies, we conducted a consensus development project based on a modified Delphi procedure, with support from a systematic review (SR) employing a Grading of Recommendations, Assessment, Development, and Evaluations (GRADE)-based approach.

Methods

The study was conducted over a 2-month period (figure 1). Initially, a SR employing a GRADE approach was conducted to identify clinical scenarios (CS) related to detection of plasma HIV-1 RNA at low copy numbers and its multiple definitions available in the literature and support panel’s recommendations. The identified CS were: (1) LLV during stable (≥ 6 months) first-line ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL); (2) a VB during otherwise suppressive ART (a HIV-1 RNA measurement 50–1000 copies/mL with adjacent measurements <50 copies/mL); (3) low-level viral rebound during previously suppressive ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL); (4) RV during suppressive ART (persistent HIV-1 RNA quantification below 50 copies/mL). Eight interventions for the management of each CS were assessed by the review, and respective statements were formulated, considering currently recommended oral ART regimes and excluding the use of long-acting injectable therapy. Statements concerning the proposed interventions included: (a) ART regimen modification; (b) genotypic resistance testing (GRT); (c) assessment of adherence; (d) performing therapeutic drug monitoring (TDM); (e) scheduling an earlier follow-up; (f) evaluating chronic coinfections; (g) assessing inflammatory markers; (h) quantification of HIV DNA in peripheral blood.

Figure 1. Flowchart of the development of the scenarios, statements and suggestions.

Figure 1

The search question and full-research protocol for the SR are available on PROSPERO (CRD CRD42024511492). The full methodology and results from the SR are reported in a separate publication.12

To determine recommendations for the management of the identified CS, we employed a modified Delphi procedure, where an expert panel of 17 HIV specialists was consulted and chosen based on expertise in Infectious Diseases, Virology and Immunology, current direct involvement in HIV care and engagement in the topic as indicated by field of research and scientific output. The procedure included two Delphi rounds separated by a group discussion moderated by MA and CFP.

The Delphi method,13 a consensus-building approach,14 involved collecting opinions through a procedure ensuring: (a) anonymity—the experts did not know the responses of the other specialists; (b) feedback—the experts could suggest additional information for research or justify their choices; (c) iterations—the number of rounds and (d) statistical analysis.15

Experts were invited to review the content of each scenario and the statements linked to it and to rate each one in terms of its validity and relevance by indicating a value from 1 to 5 on a Likert scale, where 1=strongly disagree (I do not agree with this statement in the context of this scenario) and 5=strongly agree (This statement is relevant and I agree in the context of this scenario). At the end of the first round, the mean and SD, as well as the content validity index (CVI), were calculated for each statement.16 Furthermore, Cronbach’s alpha was calculated for each scenario.17 18 Content validity determines the ability of the selected items to reflect the variables of the construct in the measure, addressing the degree to which the items of an instrument sufficiently represented the content domain. This could be quantified through the CVI, deriving from the ratio between number of experts that rate a singular item with 4 and 5 (maximum rates) and the total number of experts involved. CVI ranges from 0 to 1 or from 0 to 100%. A CVI greater than 70% is deemed to be suggestive of the item’s consensus, a rate above 75% is considered indicative for strong consensus, while a rate lower than 70% is deemed to be suggestive of non-consensus.16 Experts were also asked to rank each statement based on the clinical priority in order to manage every CS.

Subsequently, the panel of experts gathered to discuss the scenarios and statements during a 2-day meeting. Facilitators went through all the scenarios and statements, presenting the results of the first round of Delphi, and receiving comments and suggestions from the panel with the aim of modifying the statements with poor agreement. After collecting and incorporating all the suggestions, the modified version of the document was sent to the panel of experts for a second round of Delphi, resulting in the final version of the document with the recommendations.

The full expert panel and their role of expertise are available in online supplemental file 1.

Results

The outcome of the final Delphi round, level of agreement, consensus results and CVI are provided in table 2. After the second round, 18/32 (56.2%) statements achieved strong consensus, 3/32 (9.4%) reached moderate consensus and 11/32 (34.4%) statements did not achieve consensus. The level of priority assigned to each proposed intervention is reported in figure 2.

Table 2. Statements and panel consensus.

Number Statement CVI* Agreement range Mean Consensus
Scenario 1. Low-level viremia during stable (≥6 months) first-line ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL)
 1 Immediate need to modify the ART regimen 100 1–2 1.3 Strong consensus against
 2 Perform GRT 82 2–5 4.3 Strong consensus in favour
 3 Assess adherence 100 5 5 Strong consensus in favour
 4 Perform TDM 58 2–5 3.4 No consensus
 5 Schedule an earlier follow-up 100 4–5 4.8 Strong consensus in favour
 6 Evaluate chronic coinfections 58 2–5 3.6 No consensus
 7 Assess inflammatory markers 76 1–4 2.2 Strong consensus against
 8 Quantify HIV DNA in peripheral blood 76 1–5 3.6 Strong consensus in favour
Scenario 2. A viral blip during otherwise suppressive ART (a HIV-1 RNA measurement 50–1000 copies/mL with adjacent measurements<50 copies/mL)
 1 Immediate need to modify the ART regimen 100 1–2 1.1 Strong consensus against
 2 Perform GRT 100 1–2 1.6 Strong consensus against
 3 Assess adherence 100 4–5 4.9 Strong consensus in favour
 4 Perform TDM 82 1–4 1.9 Strong consensus against
 5 Schedule an earlier follow-up 88 2–5 4.3 Strong consensus in favour
 6 Evaluate chronic coinfections 47 1–5 3.2 No consensus
 7 Assess inflammatory markers 100 1–2 1.5 Strong consensus against
 8 Quantify HIV DNA in peripheral blood 64 1–4 2.2 No consensus
Scenario 3. Low-level viral rebound during previously suppressive ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL)
 1 Immediate need to modify the ART regimen 76 1–5 2.2 Strong consensus against
 2 Perform GRT 100 4–5 4.9 Strong consensus in favour
 3 Assess adherence 100 4–5 4.9 Strong consensus in favour
 4 Perform TDM 58 2–5 3.6 No consensus
 5 Schedule an earlier follow-up 88 2–5 4.4 Strong consensus in favour
 6 Evaluate chronic coinfections 53 2–5 3.3 No consensus
 7 Assess inflammatory markers 70 1–4 2.5 Moderate consensus against
 8 Quantify HIV DNA in peripheral blood 58 2–5 3.4 No consensus
Scenario 4. Residual viremia during suppressive ART (persistent HIV-1 RNA quantification below 50 copies/mL)
 1 Immediate need to modify the ART regimen 94 1–5 1.3 Strong consensus against
 2 Perform GRT 70 1–4 2.4 Moderate consensus against
 3 Assess adherence 94 2–5 4.6 Strong consensus in favour
 4 Perform TDM 64 1–5 2.4 No consensus
 5 Schedule an earlier follow-up 70 2–5 3.8 Moderate consensus in favour
 6 Evaluate chronic coinfections 41 1–5 3.2 No consensus
 7 Assess inflammatory markers 64 1–4 2.4 No consensus
 8 Quantify HIV DNA in peripheral blood 47 1–4 3.1 No consensus

Levels: 1, disagree; 2 somewhat disagree; 3 almost agree; 4, agree; 5, strongly agree.

*

CVI expressed as %.

ARTantiretroviral therapyCVIcontent validity indexGRTgenotypic resistance testingTDMtherapeutic drug monitoring

Figure 2. . Opinion on the priority of interventions in the management of people with low-level viremia during ART. (A) Scenario 1. Low-level viremia during stable (≥6 months) first-line ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL); (B) Scenario 2. A viral blip during otherwise suppressive ART (a HIV-1 RNA measurement 50–1000 copies/mL with adjacent measurements <50 copies/mL) (C) Scenario 3. Low-level viral rebound during previously suppressive ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/ml); (D) Scenario 4: Residual viremia during suppressive ART (persistent HIV-1 RNA quantification below 50 copies/mL). ART, antiretroviral therapy; GRT, genotypic resistance testing; TDM, therapeutic drug monitoring; FU, follow-up.

Figure 2

Statement 1: immediate need to modify the ART regimen

Data identified from SR

The systematic search identified 14 studies evaluating the topic, including three randomised controlled trials (RCTs).19,21

The meta-analysis of four cohort studies,22,25 reporting virologic suppression (defined as <20 cp/mL) among a total of 435 people with HIV (PWH) with LLV who switched therapy and 532 PWH with LLV who belonged to the non-intervention group, reported no significant association between therapeutic switch and virologic suppression. The meta-analysis of three studies (one RCT, one cohort and one case–control) reporting virologic suppression (defined as <50 cp/mL) in a total of 121 PWH with LLV who switched therapy and 192 PWH with LLV who continued therapy, also reported no significant association between therapeutic switch and virologic suppression.21 26 27

Among the studies that could not be meta-analysed a non-randomised study and an RCT report that treatment intensification of ART with raltegravir did not decrease the rate of RV in subjects on ART.20 28 A French study investigating a switch to a dual therapy based on maraviroc and raltegravir did not find a correlation with reducing RV.29 Another non-randomised study found that RV was not reduced by ART intensification.30 Conversely, a beneficial effect of an ART switch in PWH with RV was reported in two studies.19 31 A cohort study conducted on PWH with LLV found a virologic suppression in 20/27 cases after ART modification.32

Panel’s consensus and management suggestions

The panel suggests against an immediate treatment change in the four CS considered, with high CVIs of 94%–100% for scenarios 1, 2 and 4, decreasing to 76% for scenario 3 (weak recommendation, very low certainty of evidence).

Statement 2: perform genotypic resistance testing

Data identified from SR

Available data derived from observational studies with sample sizes ranging from 18 to 2200, where GRT was conducted on plasma with HIV-1 RNA levels ranging from 20 to 1000.2326 32,47 The meta-analysis of 19 studies including 7508 PWH on ART with LLV showed an overall drug resistance of 28.74% (95% CI 27.84 to 29.65). A meta-analysis of three cohort studies conducted in 406 participants with LLV concluded that PWH with LLV who have drug resistance documented by GRT are significantly less likely to achieve virological suppression. Other studies have reported mainly resistances in gag,48 new resistance mutations in 37% of these participants during LLV34 and a resistance prevalence of 74% analysing 3895 samples from 2200 patients.46

Panel’s consensus and management suggestions

The panel suggests performing GRT in scenarios 1 and 3, while does not suggest performing GRT in scenario 2 and scenario 4 (CVI=1:82%; 2:100%; 3:100%; 4:70%) (weak recommendation, very low certainty of evidence).

Statement 3: assess adherence

Evidence identified from SR

The literature search identified a total of 11 studies on the topic. The meta-analysis of 5 cohort studies among 306 PWH with LLV reported an overall prevalence of suboptimal adherence to ART of 38.05% (95% CI 32.7 to 43.3). The effect of counselling on improving adherence and in turn reducing LLV was reported by two studies.49 50

Lower adherence was significantly associated with LLV in a French case–control study, another one in Canada and a third cohort study in Italy.51,53 On the other hand, an Italian study concludes that adherence above 70% was enough to maintain viral suppression stating that an elevated regimen forgiveness may be an important feature, next to adherence, to improve patient outcomes.54 On the contrary, reported adherence was similar among PHW with and without LLV in a prospective cohort study in Peru and a case–control study in the USA.55 56

Panel’s consensus and management suggestions

The panel suggests assessing adherence to ART during the management of all scenarios considered (CVI=1:100%; 2:100%; 3:100%; 4:94%) (strong recommendation, very low certainty of evidence).

Statement 4: perform TDM

Evidence identified from SR

The SR identified three studies on the topic. A Canadian cohort study measured subtherapeutic drug concentrations in 78/328 (24%) treated individuals with HIV-1 RNA levels between 50 and 999 copies/mL.33 In contrast, an observational study in Peru found no difference in nevirapine concentration among 33 adherent individuals with and 49 adherent individuals without LLV, defined as HIV-1 RNA levels of 30–1000 copies/mL.55 Finally, a French prospective cohort study concluded that plasma drug concentrations were adequate in 53/57 (93%) individuals with HIV-1 RNA levels between 21 copies/mL and 200 copies/mL).22

Panel’s consensus and management suggestions

The panel suggests against routine use of TDM in the management of scenario 2, whereas no consensus was reached for any of the other scenarios (CVI=1:58%; 2:82%; 3:58%; 4:64%) (weak recommendation, insufficient evidence).

Statement 5: schedule an earlier follow-up

Evidence identified from SR

The SR did not identify evidence on the topic.

Panel’s consensus and management suggestions

The panel suggests scheduling an early follow-up visit for scenarios 1, 2, 3 (CVI=1:100%; 2 and 3:88%) and for scenario 4 (CVI=70%) (weak recommendation, no evidence identified).

Statement 6: evaluate chronic coinfections

Evidence identified from SR

No studies addressing this issue were identified in the SR.

Panel’s consensus and management suggestions

The panel debated the potential role of coinfections such as chronic hepatitis B or cytomegalovirus in driving LLV. However, no consensus was reached in any of the four scenarios (CVI=1 58%; 2 47%; 3 53%; 41%).

Statement 7: assess inflammatory markers

Evidence identified from SR

The search identified four relevant observational studies on the topic. No correlation was found between LLV (HIV-1 RNA 20–399 copies/mL) and a series of inflammation markers in a cohort study in the USA57 and in Africa.58 A correlation between viremia and growth differentiation factor 15 and D-dimer was found in a Swedish case–control study, while there was no correlation with C reactive protein (CRP) interferon-inducible protein 10 (IP-10) or soluble CD-14.59 In a Spanish cross-sectional study (n=52), microbial translocation and levels of Tumour Necrosis Factor alpha (TNF-alpha) and IL-6 were higher in the presence of HIV-1 RNA levels between 20 copies/mL and 200 copies/mL compared with levels<20 copies/mL.60

Panel’s consensus and management suggestions

The panel suggests against routine assessment of inflammatory markers (other than CD4+, CD8+ T cell count and ratio) such as IL-6 and CRP in the management of scenarios 1, 2 and 3 (CVI=1:76%; 2:100%; 3:70%); no consensus was achieved for scenario 4 (CVI=64%) (weak recommendation, insufficient evidence).

Statement 8: quantify HIV-1 DNA in peripheral blood

Evidence identified from SR

The SR identified limited evidence on this topic. In a single-arm pilot study in the USA, the level of viremia was positively associated with the amount of reservoir, measured by infection units per million cells.61 Another study showed no significant correlation between HIV-1 DNA levels and detection of HIV-1 RNA levels, in terms of Target Not Detected and RV development among virologically suppressed participants who either continue dolutegravir plus one Reverse Transcriptase Inhibitor (RTI) or switch to coformulated Elvitegravir/Cobicistat/Emtricitabine/Tenofovir Alafenamide E/C/FTC/TAF.19 In contrast, a cross-sectional study in Canada (n=127) demonstrated a correlation between RV and the frequency of CD4+cells carrying HIV-1-integrated DNA.62

Panel’s consensus and management suggestions

The panel suggests measuring total HIV-DNA load in peripheral blood, in scenario 1 (CVI=1:76%); no consensus was reached for the other scenarios (CVI=2:64%; 3:58%; 4:47%) (weak recommendation, insufficient evidence).

Discussion

LLV is common in clinical practice, but there is limited evidence to guide management strategies. In an attempt to support harmonised practice, we defined four common CS characterised by LLV, accompanied by a description of possible interventions. These were discussed within a panel of experts following a modified Delphi procedure. The consensus was developed through a 2-day discussion with a focus group in between, providing the experts with the findings of the SR to enrich the confrontation. Where applicable, GRADE-based recommendations were developed.

The panel expressed a consensus that an accurate evaluation should be performed in all cases before considering a change of ART. Such consideration should always begin with a thorough assessment of adherence. However, the urgency of considering a change of the ART regimen was also related to type of CS and the regimen. For example, a more rapid decision about modifying the ART regimen should be considered in scenario 3, that is, a case of virological rebound at LLV, especially in the case of regimens with a low barrier to the emergence of resistance.

The panel reached a strong consensus on undertaking GRT testing in cases of LLV during stable (≥6 months) first-line ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL) and LLV rebound during previously suppressive ART (≥2 consecutive HIV-1 RNA measurements 50–500 copies/mL). In the former scenario, incomplete agreement was driven by the consideration that ART-naïve subjects with high pre-ART viral load may take longer to achieve viral suppression, without necessarily acquiring resistance. The panel also agreed unanimously that GRT is not indicated in VB or RV, but should be reserved for confirmed viremia above 50 copies/mL. However, the discussion highlighted that the approach to VB should be related to their magnitude and frequency. In one study, for instance, VB >500 copies/mL were associated with an increased risk of virological failure.63 Thus, larger or more frequent blips should trigger a review of adherence and consider the risk of emergent drug resistance. The SR identified several studies indicating that performing GRT is possible and likely to reveal the presence of resistance-associated mutations (RAM) in a substantial fraction of individuals with LLV, although not all studies differentiated between pre-existing and treatment-emergent RAMs.2326 32,47 However, resistances are less frequent with the current first-line antiretroviral regimens. In the setting of LLV, sequencing of cellular material, rather than plasma, may offer an alternative tool.4 8 38 64 65

Regarding the assays to be used in case of LLV, plasma GRT performed through the bulk sequencing provides reliable and reproducible results that are informative about emerging drug resistance43 46 66 and predictive of the subsequent virological failure.47 However, this assay could not be always successful at LLV. HIV GRT through next-generation sequencing (NGS) is gradually replacing bulk sequencing. Nowdays, through NGS approaches, is possible to detect low-abundance drug-resistance mutations.67 On the other hand, NGS has specific limitations regarding the virion copies used as input, which may make them unsuitable for GRT when HIV-1 RNA levels are below 1000 copies/mL. Resistance GRT performed on peripheral blood mononuclear cells is technically feasible and can represent a valuable tool to define drug-resistance profiles archived in HIV-DNA.64 65 Therefore, in case of unsuccessful plasma GRT, HIV DNA GRT may also be considered. However, this assay may not detect previous resistance mutations and can also detect clinically irrelevant mutations; thus, the results should be interpreted with caution. NGS methods might improve resistance detection in HIV-DNA due to their greater sensitivity.68 So far, most clinical applications of NGS have used thresholds between 5% and 10%, however further studies are needed to evaluate the most clinically relevant threshold for NGS. In any case, when a therapy switch is planned, in combination with the GRT performed at LLV, cumulative genotypic resistance history should be always considered together with a complete history of ART and viremia.4 8

The panel agreed about the relevance of plasma drug concentrations in driving outcomes but highlighted limitations related to TDM test availability and interpretation. This resulted in lack of a consensus in most scenarios, although testing should be considered in specific cases, for example, suspected malabsorption or drug–drug interactions. As of now, routine TDM is not recommended. However, it may be beneficial in cases involving drug interactions, toxicity control, special populations (eg, children, pregnant individuals and the elderly) or in managing treatment responses in patients with good adherence but suboptimal outcomes.22 69

The panel recognised the potential impact on HIV pathogenesis of chronic coinfections such as hepatitis B or cytomegalovirus.70 71 However, there was lack of consensus about how to use the information to guide the management of LLV in routine practice, beyond recommending that such infections should be appropriately managed. On the other hand, the panel recognised the importance of considering intercurrent infections or vaccinations in relation to the occurrence of VBs.72,74

Along similar lines, experts recognised the pathogenic role of inflammation and immune activation and discussed how they may both result from and be a driver of viremia.75,77 Beyond the routine evaluation of CD4+, CD8+ count and ratio as easily available, most members acknowledged the difficulties of implementing wider inflammatory biomarker assays due to lack of consensus on the type of markers to adopt in routine practice, interpretation, availability and costs.

The panel discussed the potential role of total HIV-1 DNA quantification, as VBs and LLV are significantly associated with slower reservoir decay.78 One recognised limitation was access to standardised tests.79

For the majority of the statements considered, the SR identified low-quality studies, often lacking a direct comparison of populations with and without LLV. Included studies were frequently not powered to identify our outcome of interest, hence indirectness was an issue in almost all the studies. Furthermore, most of the studies included a low number of participants and were downgraded for high level of imprecision. In this context, even when a strong consensus was reached by the panel of experts, the recommendations or suggestions put forth should be cautiously framed, hence providing weak recommendations/suggestions and emphasising the need for future studies that are appropriately designed and of higher quality.

Conclusion

LLV during effective ART is multifactorial. Beyond continued monitoring for evidence of increasing viral load, we currently have limited tools to differentiate between virus release from reservoirs and ongoing virus replication, making clinical management challenging. While research on new technologies is ongoing,80 LLV requires a personalised approach, taking into consideration the individual-related factors and utilising diagnostic tools judiciously. Further research is warranted to address the knowledge gaps, starting from agreeing on definitions. The suggestions outlined in this study aim to assist clinicians in navigating the complexities of managing LLV during ART.

supplementary material

online supplemental file 1
sextrans-100-7-s001.pdf (60.2KB, pdf)
DOI: 10.1136/sextrans-2024-056199

Acknowledgements

The 2-day meeting organised for the Delphi procedure was promoted by Gilead.

Footnotes

Funding: The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

Provenance and peer review: Not commissioned; internally peer-reviewed.

Handling editor: Mark Charles Atkins

Patient consent for publication: Not applicable.

Ethics approval: Not applicable.

Collaborators: Massimo Andreoni, Francesca Ceccherini-Silberstein, Luna Colagrossi, Mirko Compagno, Andrea Cossarizza, Antonio Di Biagio, Giovanni Di Perri, Anna Maria Geretti, Nicola Gianotti, Andrea Gori, Sergio Lo Caputo, Giordano Madeddu, Giulia Carla Marchetti, Claudio Mastroianni, Cristina Mussini, Carlo Federico Perno, Lorenzo Vittorio Rindi, Maria Mercedes Santoro, Loredana Sarmati, Drieda Zaçe, and Maurizio Zazzi.

Contributor Information

Lorenzo Vittorio Rindi, Email: l.rindi@gmail.com.

Drieda Zaçe, Email: driedazace@gmail.com.

Mirko Compagno, Email: mirkocompagno2@gmail.com.

Luna Colagrossi, Email: luna.colagrossi@opbg.net.

Maria Mercedes Santoro, Email: santormaria@gmail.com.

Massimo Andreoni, Email: andreoni@uniroma2.it.

Carlo Federico Perno, Email: perno@uniroma2.it.

Loredana Sarmati, Email: srmldn00@uniroma2.it.

on behalf of the Low-level HIV Viremia Consensus Panel:

Massimo Andreoni, Francesca Ceccherini-Silberstein, Luna Colagrossi, Mirko Compagno, Andrea Cossarizza, Antonio Di Biagio, Giovanni Di Perri, Anna Maria Geretti, Nicola Gianotti, Andrea Gori, Sergio Lo Caputo, Giordano Madeddu, Giulia Carla Marchetti, Claudio Mastroianni, Cristina Mussini, Carlo Federico Perno, Lorenzo Vittorio Rindi, Maria Mercedes Santoro, Loredana Sarmati, Drieda Zaçe, and Maurizio Zazzi

Data availability statement

Data are available upon reasonable request. All data relevant to the study are included in the article or uploaded as supplementary information.

References

  • 1.Crespo-Bermejo C, de Arellano ER, Lara-Aguilar V, et al. Persistent low-Level viremia in persons living with HIV undertreatment: An unresolved status. Virulence. 2021;12:2919–31. doi: 10.1080/21505594.2021.2004743. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Wu F, Simonetti FR. Learning from Persistent Viremia: Mechanisms and Implications for Clinical Care and HIV-1 Cure. Curr HIV/AIDS Rep . 2023;20:428–39. doi: 10.1007/s11904-023-00674-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Chun TW, Finzi D, Margolick J, et al. In vivo fate of HIV-1-infected T cells: quantitative analysis of the transition to stable latency. Nat Med. 1995;1:1284–90. doi: 10.1038/nm1295-1284. [DOI] [PubMed] [Google Scholar]
  • 4.Ambrosioni J, Levi L, Alagaratnam J, et al. Major revision version 12.0 of the European AIDS Clinical Society guidelines 2023. HIV Med. 2023;24:1126–36. doi: 10.1111/hiv.13542. [DOI] [PubMed] [Google Scholar]
  • 5.Saag MS, Gandhi RT, Hoy JF, et al. Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults: 2020 Recommendations of the International Antiviral Society-USA Panel. JAMA. 2020;324:1651–69. doi: 10.1001/jama.2020.17025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Gandhi RT, Bedimo R, Hoy JF, et al. Antiretroviral Drugs for Treatment and Prevention of HIV Infection in Adults: 2022 Recommendations of the International Antiviral Society-USA Panel. JAMA. 2023;329:63–84. doi: 10.1001/jama.2022.22246. [DOI] [PubMed] [Google Scholar]
  • 7.WHO Consolidated guidelines on HIV prevention, testing, treatment, service delivery and monitoring: recommendations for a public health approach. 2021. https://www.who.int/publications/i/item/9789240031593 Available. [PubMed]
  • 8.Panel on Antiretroviral Guidelines for Adults N Guidelines for the use of antiretroviral agents in adults and adolescents with HIV how to cite the adult and adolescent antiretroviral guidelines: panel on antiretroviral guidelines for adults and adolescents. Guidelines for the use of antiretroviral agents in adults and adolescents with HIV. Department of Health and Human Services [internet] https://clinicalinfo.hiv.gov/ n.d. Available.
  • 9.Hanners EK, Benitez-Burke J, Badowski ME. HIV: how to manage low-level viraemia in people living with HIV. Drugs Context. 2022;11:2021-8-13. doi: 10.7573/dic.2021-8-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Halvas EK, Joseph KW, Brandt LD, et al. HIV-1 viremia not suppressible by antiretroviral therapy can originate from large T cell clones producing infectious virus. J Clin Invest. 2020;130:5847–57. doi: 10.1172/JCI138099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jacobs JL, Halvas EK, Tosiano MA, et al. Persistent HIV-1 Viremia on Antiretroviral Therapy: Measurement and Mechanisms. Front Microbiol. 2019;10:2383. doi: 10.3389/fmicb.2019.02383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Zaçe D, Rindi LV, Compagno M, et al. Managing low-level HIV viraemia in antiretroviral therapy: a systematic review and meta-analysis. Sex Transm Infect. 2024 doi: 10.1136/sextrans-2024-056198. [Epub ahead of print: 17 Sep 2024] [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Grime MM, Wright G. In: Wiley StatsRef: statistics reference online [internet] Kenett RS, Longford NT, Piegorsch WW, et al., editors. Wiley; 2016. Delphi method; pp. 1–6.https://onlinelibrary.wiley.com/doi/10.1002/9781118445112.stat07879 Available. [Google Scholar]
  • 14.Hsu CC, Sandford BA. The delphi technique: making sense of consensus. https://openpublishing.library.umass.edu/pare/article/id/1418/ n.d. Available.
  • 15.Trakman GL, Forsyth A, Hoye R, et al. Developing and validating a nutrition knowledge questionnaire: key methods and considerations. Public Health Nutr. 2017;20:2670–9. doi: 10.1017/S1368980017001471. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zamanzadeh V, Ghahramanian A, Rassouli M, et al. Design and Implementation Content Validity Study: Development of an instrument for measuring Patient-Centered Communication. J Caring Sci. 2015;4:165–78. doi: 10.15171/jcs.2015.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Tavakol M, Dennick R. Making sense of Cronbach’s alpha. Int J Med Educ. 2011;2:53–5. doi: 10.5116/ijme.4dfb.8dfd. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Streiner DL. Starting at the beginning: an introduction to coefficient alpha and internal consistency. J Pers Assess. 2003;80:99–103. doi: 10.1207/S15327752JPA8001_18. [DOI] [PubMed] [Google Scholar]
  • 19.Scutari R, Galli L, Alteri C, et al. Evaluation of HIV-DNA and residual viremia levels through week 96 in HIV-infected individuals who continue a two-drug or switch to a three-drug integrase strand transfer inhibitor-based regimen. Int J Antimicrob Agents. 2023;61:106771. doi: 10.1016/j.ijantimicag.2023.106771. [DOI] [PubMed] [Google Scholar]
  • 20.Gandhi RT, Zheng L, Bosch RJ, et al. The effect of raltegravir intensification on low-level residual viremia in HIV-infected patients on antiretroviral therapy: a randomized controlled trial. PLoS Med. 2010;7:e1000321. doi: 10.1371/journal.pmed.1000321. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Amstutz A, Nsakala BL, Vanobberghen F, et al. Switch to second-line versus continued first-line antiretroviral therapy for patients with low-level HIV-1 viremia: An open-label randomized controlled trial in Lesotho. PLoS Med . 2020;17:e1003325. doi: 10.1371/journal.pmed.1003325. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Palich R, Wirden M, Peytavin G, et al. Persistent low-level viraemia in antiretroviral treatment-experienced patients is not linked to viral resistance or inadequate drug concentrations. J Antimicrob Chemother. 2020;75:2981–5. doi: 10.1093/jac/dkaa273. [DOI] [PubMed] [Google Scholar]
  • 23.McConnell MJ, Mier-Mota J, Flor-Parra F, et al. Improved viral suppression after treatment optimization in HIV-infected patients with persistent low-level viremia. J Acquir Immune Defic Syndr . 2011;58:446–9. doi: 10.1097/QAI.0b013e3182364513. [DOI] [PubMed] [Google Scholar]
  • 24.Boillat-Blanco N, Darling KEA, Schoni-Affolter F, et al. Virological outcome and management of persistent low-level viraemia in HIV-1-infected patients: 11 years of the Swiss HIV Cohort Study. Antivir Ther. 2015;20:165–75. doi: 10.3851/IMP2815. [DOI] [PubMed] [Google Scholar]
  • 25.Nzivo MM, Waruhiu CN, Kang’ethe JM, et al. HIV Virologic Failure among Patients with Persistent Low-Level Viremia in Nairobi, Kenya: It Is Time to Review the >1000 Virologic Failure Threshold. Biomed Res Int. 2023;2023:8961372. doi: 10.1155/2023/8961372. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Wirden M, Todesco E, Valantin M-A, et al. Low-level HIV-1 viraemia in patients on HAART: risk factors and management in clinical practice. J Antimicrob Chemother. 2015;70:2347–53. doi: 10.1093/jac/dkv099. [DOI] [PubMed] [Google Scholar]
  • 27.Pham T, Alrabaa S, Somboonwit C, et al. The HIV Virologic Outcomes of Different Interventions Among Treatment-Experienced Patients With 2 Consecutive Detectable Low-Level Viremia. J Int Assoc Physicians AIDS Care (Chic) 2011;10:54–6. doi: 10.1177/1545109710385122. [DOI] [PubMed] [Google Scholar]
  • 28.McMahon D, Jones J, Wiegand A, et al. Short-course raltegravir intensification does not reduce persistent low-level viremia in patients with HIV-1 suppression during receipt of combination antiretroviral therapy. Clin Infect Dis. 2010;50:912–9. doi: 10.1086/650749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Campillo-Gimenez L, Assoumou L, Valantin M-A, et al. Switch to maraviroc/raltegravir dual therapy leads to an unfavorable immune profile with low-level HIV viremia. AIDS. 2015;29:853–6. doi: 10.1097/QAD.0000000000000626. [DOI] [PubMed] [Google Scholar]
  • 30.Dinoso JB, Kim SY, Wiegand AM, et al. Treatment intensification does not reduce residual HIV-1 viremia in patients on highly active antiretroviral therapy. Proc Natl Acad Sci U S A. 2009;106:9403–8. doi: 10.1073/pnas.0903107106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.De Miguel Buckley R, Rial-Crestelo D, Montejano R, et al. Long-term Evaluation of Residual Viremia in a Clinical Trial of Dolutegravir Plus Lamivudine as Maintenance Treatment for Participants With and Without Prior Lamivudine Resistance. Open Forum Infect Dis. 2022;9:ofac610. doi: 10.1093/ofid/ofac610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Parra-Ruiz J, Álvarez M, Chueca N, et al. Resistencias genotípicas en pacientes con VIH-1 y grados de viremia persistentemente bajos. Enferm Infecc Microbiol Clín. 2009;27:75–80. doi: 10.1016/j.eimc.2008.02.007. [DOI] [PubMed] [Google Scholar]
  • 33.Gonzalez-Serna A, Swenson LC, Watson B, et al. A single untimed plasma drug concentration measurement during low-level HIV viremia predicts virologic failure. Clin Microbiol Infect. 2016;22:1004. doi: 10.1016/j.cmi.2016.08.012. [DOI] [PubMed] [Google Scholar]
  • 34.Taiwo B, Gallien S, Aga E, et al. Antiretroviral drug resistance in HIV-1-infected patients experiencing persistent low-level viremia during first-line therapy. J Infect Dis. 2011;204:515–20. doi: 10.1093/infdis/jir353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Lan Y, Ling X, Deng X, et al. Drug Resistance Profile Among HIV-1 Infections Experiencing ART with Low-Level Viral Load in Guangdong China During 2011-2022: A Retrospective Study. Infect Drug Resist. 2023;16:4953–64. doi: 10.2147/IDR.S419610. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Bangalee A, Hans L, Steegen K. Feasibility and clinical relevance of HIV-1 drug resistance testing in patients with low-level viraemia in South Africa. J Antimicrob Chemother. 2021;76:2659–65. doi: 10.1093/jac/dkab220. [DOI] [PubMed] [Google Scholar]
  • 37.Nettles RE, Kieffer TL, Simmons RP, et al. Genotypic resistance in HIV-1-infected patients with persistently detectable low-level viremia while receiving highly active antiretroviral therapy. Clin Infect Dis. 2004;39:1030–7. doi: 10.1086/423388. [DOI] [PubMed] [Google Scholar]
  • 38.Zaccarelli M, Santoro MM, Armenia D, et al. Genotypic resistance test in proviral DNA can identify resistance mutations never detected in historical genotypic test in patients with low level or undetectable HIV-RNA. J Clin Virol. 2016;82:94–100. doi: 10.1016/j.jcv.2016.07.007. [DOI] [PubMed] [Google Scholar]
  • 39.Bareng OT, Moyo S, Zahralban-Steele M, et al. HIV-1 drug resistance mutations among individuals with low-level viraemia while taking combination ART in Botswana. J Antimicrob Chemother. 2022;77:1385–95. doi: 10.1093/jac/dkac056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Taramasso L, Magnasco L, Bruzzone B, et al. How relevant is the HIV low level viremia and how is its management changing in the era of modern ART? A large cohort analysis. J Clin Virol. 2020;123:104255. doi: 10.1016/j.jcv.2019.104255. [DOI] [PubMed] [Google Scholar]
  • 41.Liu P, You Y, Liao L, et al. Impact of low-level viremia with drug resistance on CD4 cell counts among people living with HIV on antiretroviral treatment in China. BMC Infect Dis. 2022;22:426. doi: 10.1186/s12879-022-07417-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Delaugerre C, Gallien S, Flandre P, et al. Impact of low-level-viremia on HIV-1 drug-resistance evolution among antiretroviral treated-patients. PLoS One. 2012;7:e36673. doi: 10.1371/journal.pone.0036673. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Gonzalez-Serna A, Min JE, Woods C, et al. Performance of HIV-1 drug resistance testing at low-level viremia and its ability to predict future virologic outcomes and viral evolution in treatment-naive individuals. Clin Infect Dis. 2014;58:1165–73. doi: 10.1093/cid/ciu019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Li JZ, Gallien S, Do TD, et al. Prevalence and significance of HIV-1 drug resistance mutations among patients on antiretroviral therapy with detectable low-level viremia. Antimicrob Agents Chemother. 2012;56:5998–6000. doi: 10.1128/AAC.01217-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Kao S-W, Liu Z-H, Wu T-S, et al. Prevalence of drug resistance mutations in HIV-infected individuals with low-level viraemia under combination antiretroviral therapy: an observational study in a tertiary hospital in Northern Taiwan, 2017-19. J Antimicrob Chemother. 2021;76:722–8. doi: 10.1093/jac/dkaa510. [DOI] [PubMed] [Google Scholar]
  • 46.Santoro MM, Fabeni L, Armenia D, et al. Reliability and clinical relevance of the HIV-1 drug resistance test in patients with low viremia levels. Clin Infect Dis. 2014;58:1156–64. doi: 10.1093/cid/ciu020. [DOI] [PubMed] [Google Scholar]
  • 47.Swenson LC, Min JE, Woods CK, et al. HIV drug resistance detected during low-level viraemia is associated with subsequent virologic failure. AIDS. 2014;28:1125–34. doi: 10.1097/QAD.0000000000000203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Ferretti F, Mackie NE, Singh GKJ, et al. Characterization of low level viraemia in HIV-infected patients receiving boosted protease inhibitor-based antiretroviral regimens. HIV Res Clin Pract. 2019;20:107–10. doi: 10.1080/25787489.2020.1716159. [DOI] [PubMed] [Google Scholar]
  • 49.Nanyeenya N, Nakanjako D, Makumbi F, et al. Effectiveness of intensive adherence counselling in achieving an undetectable viral load among people on antiretroviral therapy with low-level viraemia in Uganda. HIV Med. 2024;25:245–53. doi: 10.1111/hiv.13568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Konstantopoulos C, Ribaudo H, Ragland K, et al. Antiretroviral regimen and suboptimal medication adherence are associated with low-level human immunodeficiency virus viremia. Open Forum Infect Dis. 2015;2:ofu119. doi: 10.1093/ofid/ofu119. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Goupil de Bouillé J, Collignon M, Capsec J, et al. Low-level HIV viremia is associated with low antiretroviral prescription refill rates and social deprivation. AIDS Care. 2021;33:1445–50. doi: 10.1080/09540121.2020.1806198. [DOI] [PubMed] [Google Scholar]
  • 52.Bouchard A, Bourdeau F, Roger J, et al. Predictive Factors of Detectable Viral Load in HIV-Infected Patients. AIDS Res Hum Retroviruses. 2022;38:552–60. doi: 10.1089/AID.2021.0106. [DOI] [PubMed] [Google Scholar]
  • 53.Maggiolo F, Di Filippo E, Comi L, et al. Reduced adherence to antiretroviral therapy is associated with residual low-level viremia. Pragmat Obs Res. 2017;8:91–7. doi: 10.2147/POR.S127974. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Maggiolo F, Valenti D, Teocchi R, et al. Real World Data on Forgiveness to Uncomplete Adherence to Bictegravir/ Emtricitabine/Tenofovir Alafenamide. J Int Assoc Provid AIDS Care. 2022;21:23259582221140208. doi: 10.1177/23259582221140208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Bull ME, Mitchell C, Soria J, et al. Monotypic low-level HIV viremias during antiretroviral therapy are associated with disproportionate production of X4 virions and systemic immune activation. AIDS. 2018;32:1389–401. doi: 10.1097/QAD.0000000000001824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Miller LG, Golin CE, Liu H, et al. No evidence of an association between transient HIV viremia (“Blips”) and lower adherence to the antiretroviral medication regimen. J Infect Dis. 2004;189:1487–96. doi: 10.1086/382895. [DOI] [PubMed] [Google Scholar]
  • 57.Eastburn A, Scherzer R, Zolopa AR, et al. Association of low level viremia with inflammation and mortality in HIV-infected adults. PLoS One. 2011;6:e26320. doi: 10.1371/journal.pone.0026320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Botha-Le Roux S, Elvstam O, De Boever P, et al. Cardiovascular Profile of South African Adults with Low-Level Viremia during Antiretroviral Therapy. J Clin Med . 2022;11:2812. doi: 10.3390/jcm11102812. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Elvstam O, Medstrand P, Jansson M, et al. Is low-level HIV-1 viraemia associated with elevated levels of markers of immune activation, coagulation and cardiovascular disease? HIV Med. 2019;20:571–80. doi: 10.1111/hiv.12756. [DOI] [PubMed] [Google Scholar]
  • 60.Reus S, Portilla J, Sánchez-Payá J, et al. Low-level HIV viremia is associated with microbial translocation and inflammation. J Acquir Immune Defic Syndr . 2013;62:129–34. doi: 10.1097/QAI.0b013e3182745ab0. [DOI] [PubMed] [Google Scholar]
  • 61.Gandhi RT, Bosch RJ, Aga E, et al. Residual plasma viraemia and infectious HIV-1 recovery from resting memory CD4 cells in patients on antiretroviral therapy: results from ACTG A5173. Antivir Ther. 2013;18:607–13. doi: 10.3851/IMP2543. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Chun T-W, Murray D, Justement JS, et al. Relationship between residual plasma viremia and the size of HIV proviral DNA reservoirs in infected individuals receiving effective antiretroviral therapy. J Infect Dis. 2011;204:135–8. doi: 10.1093/infdis/jir208. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Elvstam O, Malmborn K, Elén S, et al. Virologic Failure Following Low-level Viremia and Viral Blips During Antiretroviral Therapy: Results From a European Multicenter Cohort. Clin Infect Dis. 2023;76:25–31. doi: 10.1093/cid/ciac762. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Geretti AM, Blanco JL, Marcelin AG, et al. HIV DNA Sequencing to Detect Archived Antiretroviral Drug Resistance. Infect Dis Ther. 2022;11:1793–803. doi: 10.1007/s40121-022-00676-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Chu C, Armenia D, Walworth C, et al. Genotypic Resistance Testing of HIV-1 DNA in Peripheral Blood Mononuclear Cells. Clin Microbiol Rev. 2022;35:e00052-22. doi: 10.1128/cmr.00052-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Armenia D, Fabeni L, Alteri C, et al. HIV-1 integrase genotyping is reliable and reproducible for routine clinical detection of integrase resistance mutations even in patients with low-level viraemia. J Antimicrob Chemother. 2015;70:1865–73. doi: 10.1093/jac/dkv029. [DOI] [PubMed] [Google Scholar]
  • 67.Tzou PL, Ariyaratne P, Varghese V, et al. Comparison of an In Vitro Diagnostic Next-Generation Sequencing Assay with Sanger Sequencing for HIV-1 Genotypic Resistance Testing. J Clin Microbiol. 2018;56:e00105-18. doi: 10.1128/JCM.00105-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Rodriguez C, Nere ML, Demontant V, et al. Ultra-deep sequencing improves the detection of drug resistance in cellular DNA from HIV-infected patients on ART with suppressed viraemia. J Antimicrob Chemother. 2018;73:3122–8. doi: 10.1093/jac/dky315. [DOI] [PubMed] [Google Scholar]
  • 69.Punyawudho B, Singkham N, Thammajaruk N, et al. Therapeutic drug monitoring of antiretroviral drugs in HIV-infected patients. Expert Rev Clin Pharmacol. 2016;9:1583–95. doi: 10.1080/17512433.2016.1235972. [DOI] [PubMed] [Google Scholar]
  • 70.Gianella S, Letendre S. Cytomegalovirus and HIV: A Dangerous Pas de Deux. J Infect Dis. 2016;214 Suppl 2:S67–74. doi: 10.1093/infdis/jiw217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Singh KP, Crane M, Audsley J, et al. HIV-hepatitis B virus coinfection: epidemiology, pathogenesis, and treatment. AIDS. 2017;31:2035–52. doi: 10.1097/QAD.0000000000001574. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 72.Raccagni AR, Diotallevi S, Lolatto R, et al. Viral blips and virologic failures following mpox vaccination with MVA-BN among people with HIV. AIDS. 2023;37:2365–9. doi: 10.1097/QAD.0000000000003733. [DOI] [PubMed] [Google Scholar]
  • 73.Zhao M, Zhuo C, Li Q, et al. Cytomegalovirus (CMV) infection in HIV/AIDS patients and diagnostic values of CMV-DNA detection across different sample types. Ann Palliat Med. 2020;9:2710–5. doi: 10.21037/apm-20-1352. [DOI] [PubMed] [Google Scholar]
  • 74.Tasker SA, O’Brien WA, Treanor JJ, et al. Effects of influenza vaccination in HIV-infected adults: a double-blind, placebo-controlled trial. Vaccine (Auckl) 1998;16:1039–42. doi: 10.1016/s0264-410x(97)00275-2. [DOI] [PubMed] [Google Scholar]
  • 75.Hsu DC, Sereti I. Serious Non-AIDS Events: Therapeutic Targets of Immune Activation and Chronic Inflammation in HIV Infection. Drugs (Abingdon Engl) 2016;76:533–49. doi: 10.1007/s40265-016-0546-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Li JZ, Segal FP, Bosch RJ, et al. Antiretroviral Therapy Reduces T-cell Activation and Immune Exhaustion Markers in Human Immunodeficiency Virus Controllers. Clin Infect Dis. 2020;70:1636–42. doi: 10.1093/cid/ciz442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Ruggiero A, Cozzi-Lepri A, Beloukas A, et al. Factors Associated With Persistence of Plasma HIV-1 RNA During Long-term Continuously Suppressive Firstline Antiretroviral Therapy. Open Forum Infect Dis. 2018;5:ofy032. doi: 10.1093/ofid/ofy032. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Bachmann N, von Siebenthal C, Vongrad V, et al. Determinants of HIV-1 reservoir size and long-term dynamics during suppressive ART. Nat Commun. 2019;10:3193. doi: 10.1038/s41467-019-10884-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Belmonti S, Di Giambenedetto S, Lombardi F. Quantification of Total HIV DNA as a Marker to Measure Viral Reservoir: Methods and Potential Implications for Clinical Practice. Diagn (Basel) 2021;12:39. doi: 10.3390/diagnostics12010039. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Cole B, Lambrechts L, Gantner P, et al. In-depth single-cell analysis of translation-competent HIV-1 reservoirs identifies cellular sources of plasma viremia. Nat Commun. 2021;12:3727. doi: 10.1038/s41467-021-24080-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

online supplemental file 1
sextrans-100-7-s001.pdf (60.2KB, pdf)
DOI: 10.1136/sextrans-2024-056199

Data Availability Statement

Data are available upon reasonable request. All data relevant to the study are included in the article or uploaded as supplementary information.


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