Abstract
Objectives
As many disparities in the clinical use of HIV DNA sequencing are observed, a DELPHI-type consensus was initiated in France to homogenize use, techniques and interpretation of results.
Methods
Based on a literature review and clinical experience, a steering committee (SC) of eight virologists and one infectious disease specialist formulated statements. Statements were submitted to an independent and anonymous electronic vote of virologists and HIV clinicians in France, between October 2022 and December 2022.
Results
The SC developed 20 statements grouped into six categories: clinical situations for the use of HIV DNA genotyping; techniques for performing HIV DNA genotyping; consideration of apolipoprotein B mRNA editing enzyme (APOBEC) mutations; genotyping results reporting; recycling of antiretrovirals; and availability of HIV DNA genotyping tests and delays. Twenty-one virologists and 47 clinicians participated in two voting rounds and 18/20 (90%) assertions reached a ‘strong’ consensus. For example, that prior genotyping on HIV DNA is useful for clinical decision-making when considering switching to some long-acting regimens or to reduce the number of antiretroviral agents in virologically suppressed patients for whom RNA data are unavailable/not exploitable/not sufficiently informative. Two statements achieved no consensus: reporting any detected viral minority population for discussion in multidisciplinary meetings (virologists), and possible risk of virological failure when using a second-generation InSTI plus lamivudine or emtricitabine regimen in patients with undetectable viral load within ≥1 year and in the presence of a documented M184V mutation within the last 5 years (clinicians).
Conclusions
This DELPHI-type consensus will facilitate the strengthening and harmonization of good practice when performing HIV DNA sequencing.
Introduction
HIV-1 infection has become a manageable chronic disease with the availability of ART.1,2 Lifelong treatment is currently required to obtain and maintain viral suppression. Either prior to initiation of ART or in the event of suboptimal response to ART, HIV drug resistance testing using plasma HIV RNA plays a key role in guiding treatment choices and optimization.1,2 When switching to a new ART regimen due to toxicities, or for simplification, drug reduction or a long-acting regimen, it is also recommended to first check HIV genotyping data.2 In these situations, HIV viral load (VL) usually under 50 copies/mL does not allow amplification for RNA drug resistance testing.3
In recent years, there has been growing interest in how HIV drug resistance testing using cellular HIV DNA could assist in clinical decision-making in the event of switching ART, especially when plasma HIV RNA genotype testing is not possible.4–6 The 2022 European AIDS Clinical Society (EACS) guidelines state that ‘Proviral DNA genotyping may be useful in persons with multiple virologic failures, unavailable resistance history or low-level viremia at the time of switch’.2 European and French guidelines indicate that it is possible to perform genotypic resistance tests on HIV DNA from PBMCs in the absence of historical data on plasma viral RNA.2,7 This test should be interpreted with caution since it has a good positive predictive value but a low negative predictive value.7
However, while these guidelines provide general guidance on the indications for cell-associated total HIV DNA resistance testing, practical recommendations to virologists and HIV clinicians are lacking, particularly regarding frequent specific ART switch situations, technique and interpretation of results.
Since many disparities in clinical practice have been observed, both in the literature and in clinical practice, a modified DELPHI-consensus research project was conducted in France with the aim of homogenizing situations in which HIV DNA sequencing could be used and guiding interpretation of results.
Materials and methods
The Delphi method is an iterative consensus approach based on information collected from a panel of voters with expertise in the subject under consideration.8–16 This approach has been widely used in many therapeutic areas and several times in HIV care.17–28 Using this structured approach, voting experts give their opinion individually and anonymously, and express their degree of agreement on statements in order to achieve consensus on a specific and well-defined subject.
In accordance with both French and international methodologies,9–12,29 our study was structured as a modified national Delphi consensus and conducted among French hospital clinicians and virologists between September 2022 and December 2022. The opinion of voting experts was collected during two assessment rounds using a questionnaire developed by a steering committee (SC) (Figure 1).
Figure 1.
Modified Delphi process chart.
As recommended by the French National Authority for Health (HAS), voters specified their level of agreement with the statements using a 9-point Likert scale ranging from 1 ‘Strongly disagree’ to 9 ‘Strongly agree’.29–31 The percentage of scores and the median were calculated for each statement separately in each voting round. Consensus for a statement was considered ‘strong’ when >75% of the scores were ≥7 and the median score was ≥8, ‘good’ when only one of these two parameters was satisfied, and ‘lacking’ when none of the parameters was satisfied.9,10,32
SC
The SC included one infectious disease specialist and eight virologists directed by the last author of this article. Two initial SC meetings were held in June 2022 and August 2022.
Voting group
Two voter profiles were identified: virologists and HIV clinicians. A list of voters was compiled based on the following criteria: experience, acquired knowledge and expertise in HIV care, presenting in national conferences or involvement in HIV care projects, with recruitment throughout France, including French overseas territories. The voters were invited via individual e-mails to participate in online voting, with personalized access via a dedicated website. Questions on techniques for performing HIV DNA genotyping were voted on by virologists only. The anonymity of both voting groups was guaranteed. Voters had no interaction with the SC, and SC members did not vote.29
Voting Round #1
During this first round of voting, a free-text space for comments was made available, enabling voters to develop or explain their opinion for each statement. At the end of the first round, scores and voter comments were summarized for each statement.
A third SC meeting took place in November 2022 to discuss the round #1 results: statements that achieved a ‘strong’ consensus (i.e. ≥75% of scores ≥7 AND median ≥8) were validated in full and included in the final summary; statements that achieved a ‘good’ consensus (i.e. ≥75% of scores ≥7 OR median ≥8) were discussed and proposed for Voting Round #2 only when the SC was able to develop a revised version based on analysis of voter comments; and statements that did not achieve consensus were reworded by the SC based on feedback from voters and submitted for Voting Round #2.
Voting Round #2
Only voters from Voting Round #1 were invited to participate in Voting Round #2 to assess the statements amended by the SC from Voting Round #1 results. The free-text comment option was deleted but replaced with an ‘I don’t know’ option instead of the scoring response. Votes including this ‘I don’t know’ option were excluded from the analysis. Following the results of Voting Round #2, the SC closed the process.
Ethics
This research was conducted in accordance with the Declaration of Helsinki. All personal data transmitted for the study were separated from the results and anonymized, pursuant to the French data protection law (GDPR—General Data Protection Regulation).
Results
Based on a literature analysis, existing guidelines and clinical experience, the SC initially developed 21 statements (two were subsequently merged resulting in 20 statements) divided into six key areas: clinical situations for the use of HIV DNA genotyping; techniques for performing HIV DNA genotyping; consideration of apolipoprotein B mRNA editing enzyme (APOBEC) mutations; genotyping results reporting; recycling of antiretrovirals and availability of HIV DNA genotyping tests and delays.
Participation
Voters in Voting Round #1 included 21 virologists and 47 clinicians. All virologists (21/21; 100%) and 40 clinicians out of 47 (85.1%) from Voting Round #1 actively voted in Voting Round #2.
A summary of the characteristics of voters is shown in Table 1. The virologists were 76% (n = 16) full-time hospital workers, 10% (n = 2) part-time and 14% (n = 3) engineers (‘Others’). Their median (IQR) experience in performing HIV DNA sequencing was 10 years (5–12) and the median number (IQR) of HIV DNA genotypes performed per year was 225 (42.5–425). Clinicians were 94% (n = 44) full-time hospital workers and 6% (n = 3) part-time. Their median (IQR) experience with people living with HIV (PLWH) management was 25 years (15–31.5) and the median number (IQR) of patients they followed per year was 270 (200–400).
Table 1.
Characteristics of voters
Characteristic | Virologists (n = 21) |
Clinicians (n = 47) |
---|---|---|
Age, median (IQR), years | 46 (43–55) | 56 (46–60.5) |
Gender, n (%) | ||
Female | 16 (76) | 18 (38) |
Male | 5 (24) | 29 (62) |
Type of practice, n (%) | ||
Full-time hospital workers | 16 (76) | 44 (94) |
Part-time hospital workers | 2 (10) | 3 (6) |
Others | 3 (14) | — |
Years of experience performing HIV DNA sequencing, median (IQR), years | 10 (5–12) | — |
Number of HIV DNA genotypes performed per year, median (IQR) | 225 (42.5–425) | — |
Years of experience in PLWH management, median (IQR), years | — | 25 (15–31.5) |
Number of PLWH seen per year, median (IQR) | — | 270 (200–400) |
Experience in HIV care-related activities in the past 5 years, n (%) | ||
Conference abstract | 16 (76) | 39 (83) |
Scientific article | 16 (76) | 35 (74) |
Research project (not including this study) | 21 (100) | 43 (91) |
Involved in training | 17 (81) | 38 (81) |
Professional or associate group or member | 16 (76) | 38 (81) |
Speaker at scientific events | 11 (52) | 32 (68) |
All virologists and clinicians had extensive experience in HIV care-related activities over the previous 5 years, such as writing conference abstracts (76% and 83%, respectively), writing scientific publications (76% and 74%), participating in research projects (100% and 91%), involved in training (81% and 81%), belonging to a professional or associated group (76% and 81%) and speaking at scientific events (52% and 68%).
Statements (Table 2)
Table 2.
Statements and cumulative voting results for virologists and clinicians
Statements | Scores 1/2/3, % (n) | Scores 4/5/6, % (n) | Scores 7/8/9, % (n) | Median | Results | |
---|---|---|---|---|---|---|
Clinical situations for the use of HIV DNA genotyping | ||||||
1 | In the context of a therapeutic decision requiring genotyping data, when HIV RNA is not amplifiable, when cumulative HIV RNA genotyping is not available and/or or in the event of an incomplete or unusable genotypic history, HIV DNA genotyping is recommended. | 2.9 (2) | 7.4 (5) | 89.7 (61) | 9 | Strong consensus |
2 | For the following therapeutic targets—reverse transcriptase, protease, integrase—HIV DNA sequencing has a good positive predictive value (excluding APOBEC mutations) and an imperfect negative predictive value. | 2.9 (2) | 13.2 (9) | 83.8 (57) | 8 | Strong consensus |
3 | In the context of a patient who has achieved virological success, in the event of a decision to reduce or simplify treatment to some long-acting regimens, prior genotyping on HIV DNA is useful for clinical decision-making in the absence of usable or sufficiently informative RNA data. | 5.9 (4) | 13.2 (9) | 80.9 (55) | 8 | Strong consensus |
4 | In the context of a patient with virological success, in the event of a decision to reduce or simplify sequential treatment (4 days out of 7 or 5 days out of 7) without changing the treatment molecules, prior genotyping on HIV DNA is not essential for the clinical decision, even in the absence of usable or sufficiently informative RNA data. | 13.3 (8) | 10 (6) | 76.7 (46) | 8 | Strong consensus |
5 | In the absence of usable or sufficiently informative RNA data, in the case of a patient with virological success, in the event of a decision to reduce/simplify to a treatment that reduces the number of ARV, prior genotyping on HIV DNA may be useful for clinical decision-making. | 8.2 (5) | 13.1 (8) | 78.7 (48) | 8 | Strong consensus |
Techniques for performing HIV DNA genotyping | ||||||
6 | In current practice, when the amount of DNA is very low, the performance (sensitivity, representativeness of viral populations) of HIV DNA genotyping is reduced. | 5.3 (1) | 5.3 (1) | 89.5 (17) | 9 | Strong consensus |
7 | In current practice, genotyping on HIV DNA can be performed either from whole blood, from PBMCs or from blood cell pellets. | 14.3 (3) | 9.5 (2) | 76.2 (16) | 8 | Strong consensus |
8 | Duplicate DNA genotyping increases performance (sensitivity, representativeness of viral populations) but is not possible in current practice. | 10.5 (2) | 5.3 (1) | 84.2 (16) | 8 | Strong consensus |
9 | Sanger and UDS can be used to perform HIV DNA genotyping. | 0 (0) | 23.8 (5) | 76.2 (16) | 8 | Strong consensus |
10 | For ultra-high throughput DNA sequencing techniques (UDS), with the current state of knowledge, the clinically relevant detection threshold is not defined. Nevertheless, it may be interesting to report any viral minority population detected for multidisciplinary discussions. | 10 (2) | 25 (5) | 65 (13) | 7.5 | No consensus |
Consideration of APOBEC mutations | ||||||
11 | Detection of the M184I mutation in HIV DNA is suggestive of the presence of a defective genome due to the APOBEC enzyme when it is associated with other suggestive mutations (e.g. M41I, M230I on reverse transcriptase) and/or stop codons. | 1.9 (1) | 13.2 (7) | 84.9 (45) | 8 | Strong consensus |
12 | When resistance mutations attributable to APOBEC are present, their significance should be interpreted with caution and based on the clinical context and treatment history. | 5.2 (3) | 5.2 (3) | 89.7 (52) | 9 | Strong consensus |
13 | The presence of resistance mutations attributable to APOBEC should be reported in the HIV DNA genotyping analysis. | 9.5 (2) | 4.8 (1) | 85.7 (18) | 8 | Strong consensus |
Reporting of genotyping results | ||||||
14 | The clinical interpretation of resistance mutations on HIV DNA genotyping should be discussed at multidisciplinary consultation meetings. | 4.4 (3) | 17.2 (10) | 80.9 (55) | 8 | Strong consensus |
15 | In a patient with virological success, the detection on HIV DNA genotyping of new resistance mutations (excluding APOBEC & stop codons) previously undetected must be considered for the switch decision and subsequent follow-up. | 5 (3) | 10 (6) | 85 (51) | 8 | Strong consensus |
ARV recycling | ||||||
16 | In a patient with an undetectable VL for at least 1 year, in the presence of a documented M184V substitution over the past 5 years, the use of a second-generation InSTI + XTC + 1 NRTI combination presents low risk of virological failure over time. | 7.4 (5) | 7.4 (5) | 85.3 (58) | 8 | Strong consensus |
17 | In a patient with an undetectable VL for at least 1 year, in the presence of a documented M184V substitution over the past 5 years, the use of a second-generation InSTI + XTC combination might present a risk of virological failure over time. | 21.3 (13) | 14.8 (9) | 63.9 (39) | 7 | No consensus |
18 | The use/recycling of NNRTIs in the event of documented resistance to ARV of this class is associated with a greater risk of virological failure, independently of the duration of undetectable VL, especially in drug-reduction strategies using this ARV class. | 1.7 (1) | 18.3 (11) | 80 (48) | 8 | Strong consensus |
Test availability and delays | ||||||
19 | HIV DNA genotypic tests should be accessible in clinical practice to all clinicians managing PLWH. | 8.8 (6) | 7.4 (5) | 83.8 (57) | 9 | Strong consensus |
20 | Reports of genotypic HIV DNA test results should be sent to clinicians within 30 days. | 6.6 (4) | 9.8 (6) | 83.6 (51) | 9 | Strong consensus |
For each statement, a total number of voters equalling 21 indicates that only virologists were invited to vote and a total number of voters different from 68, 61 or 21 indicates the use of the ‘I don't know’ option by voters during the second voting round.
After Voting Round #1, 9/21 statements achieved a ‘strong’ consensus (≥75% votes ≥7 and median ≥8), 5/21 statements achieved a ‘good’ consensus (≥75% votes ≥7 or median ≥8) and 7 statements lacked a consensus: 12 statements were revised by the SC for Voting Round #2, including all those that achieved a ‘good’ consensus and all those that did not achieve a consensus, of which 2 were merged, resulting in 20 statements. After Voting Round #2, 9/11 revised statements achieved a ‘strong’ consensus, and 2 statements did not achieve a consensus. In total, 18/20 statements (90%) achieved consensus. The distribution of cumulative votes, medians and results are provided in Table 2. See Table S1 (available as Supplementary data at JAC Online) for consensus results according to voter group, and Table S2 for statements, details of virologists’ and clinicians’ voting results, and cumulative results for both groups.
Clinical situations for the use of HIV DNA genotyping
In the context of a therapeutic decision requiring genotyping data, there was a ‘strong’ consensus from voters on the recommendation to perform HIV DNA genotyping when HIV RNA is non-amplifiable, when cumulative HIV RNA genotyping is not available and/or when the historical genotype is incomplete or unusable. Voters recognized with a ‘strong’ consensus that for the following therapeutic targets—reverse transcriptase, protease, integrase—HIV DNA sequencing has a good positive predictive value towards mutation detection, excluding APOBEC mutations, and an imperfect negative predictive value.
Voters also ‘strongly’ agreed that, in a virologically suppressed patient, in the absence of exploitable or sufficiently informative RNA data, and when considering a drug-reduction/simplification of the antiretroviral (ARV) regimen: (i) for a switch to some long-acting regimens, prior HIV DNA genotyping is useful for clinical decision-making; (ii) for sequential dosing (4 days out of 7 or 5 days out of 7) without changing any ARV in the current regimen, it is not mandatory to prior perform HIV DNA genotyping for clinical decision-making; and (iii) for a reduced ARV number regimen, prior HIV DNA genotyping may be useful for clinical decision-making.
Techniques for performing HIV-DNA genotyping
Virologists validated with a ‘strong’ consensus that, in current practice, HIV DNA genotyping has a decreased performance (sensitivity, representativeness of viral populations) when the DNA quantity is very low. It can be performed indifferently from whole blood, mononuclear cells isolated from peripheral blood or blood cell pellets, and although performance could be increased by performing in duplicate, performing in duplicate is not feasible in clinical practice.
Concerning HIV DNA genotyping techniques, virologists agreed with a ‘strong’ consensus that Sanger or ultra-deep sequencing (UDS) could be used. However, there was an absence of consensus on the relevance of discussing any viral minority population (i.e. variants below 15% to 20% of the viral population) detected after using UDS techniques in a multidisciplinary meeting in the absence of defined clinically relevant detection threshold, according to the current state of knowledge (‘no consensus’; with the exclusion of 1/21 (4.7%) virologists who answered ‘I don’t know’).
Consideration of APOBEC mutations
The cytidine deaminases APOBEC3F and 3G enzymes might introduce G to A nucleotide mutations that can impair crucial enzymatic sites or generate stop codons that reduce the amount of replication competent proviruses.33–36 Voters validated with a ‘strong’ consensus that the detection of the M184I mutation in HIV DNA is suggestive of the presence of a defective genome in the APOBEC enzyme when associated with other evocative mutations (e.g. M41I, M230I on reverse transcriptase) and/or stop codons. They also recognized with a ‘strong’ consensus that, when resistance mutations attributable to APOBEC are present, their significance should be interpreted with caution according to the clinical context and therapeutic history of the patient and should be indicated in the HIV DNA genotyping analysis report.
Reporting of genotyping results
With a ‘strong’ consensus, virologists and clinicians felt that the clinical interpretation of resistance mutations on HIV DNA genotyping should be discussed in multidisciplinary meetings. They also agreed that the detection via HIV DNA sequencing of new resistance mutations (excluding APOBEC and stop codons), which were previously undetected, must be considered for the switch decision and subsequent patient follow-up.
ARV recycling
Virologists and clinicians agreed with a ‘strong’ consensus that, in a patient with an undetectable VL for at least 1 year and with documented M184V substitution on the current DNA genotype and/or on an RNA genotype performed within the last 5 years, the use of a second-generation integrase strand transfer inhibitor (InSTI) + XTC (lamivudine or emtricitabine) + 1 NRTI combination is at low risk of virological failure over time. Virologists validated with a ‘strong’ consensus that, under the same conditions, the use of a second-generation InSTI + XTC combination may present a risk of virological failure over time. However, clinicians remained divided on this possible virological risk and their vote did not reach a consensus (‘no consensus’, no clinicians answered ‘I don't know’).
With a ‘strong’ consensus, virologists and clinicians validated that the use/recycling of NNRTIs, if resistance to this class was detected in HIV-DNA and/or in previous historical genotypes, is associated with a greater risk of virological failure, independently of the duration of undetectable VL, particularly in drug-reduction strategies using this ARV class.
Availability of HIV DNA genotyping tests and time to report results
With a ‘strong’ consensus, virologists and clinicians felt that genotypic HIV DNA testing should be accessible in clinical practice to all clinicians managing PLWH, and that results from these tests should be available within 30 days.
Discussion
This consensus research, using the DELPHI method, aimed at harmonizing HIV DNA sequencing practices.
All five assertions on clinical situations for the use of HIV DNA genotyping developed by the SC were validated with a ‘strong’ consensus by the voters. Although HIV DNA sequencing is not routinely recommended2 and does not systematically reveal the same results as those previously detected by cumulative plasma RNA genotyping in virologically controlled patients,4,5 it is useful to perform in several clinical circumstances. This is the case when historical HIV RNA resistance data are insufficient and/or incomplete, or when the VL is too low to proceed with HIV RNA sequencing. A recent study—based on a very large genotypic database in France—describing the prevalence of genotypic baseline risk factors for some long-acting regimen failures among ARV-naive patients showed that 10.1% of patients displayed one baseline virological risk factor for virological failure.37 These findings emphasize the need to check the genotypic resistance profile prior to initiating a long-acting regimen to limit the potential risk of virological failure and the emergence of resistance.
However, in the case of a virologically suppressed patient, in the event of a decision to reduce or simplify sequential treatment (4 days or 5 days out of 7) without changing the regimen, there was a ‘strong’ consensus that prior genotyping of HIV DNA is not essential to clinical decision-making, even in the absence of usable or sufficiently informative RNA data. This matches literature findings showing that triple combination therapy of a second-generation InSTI + XTC + 1 NRTI administered every 4 or 5 days maintains control of HIV replication in virologically suppressed PLWH while reducing cumulative exposure to ARV.38,39
There was a ‘strong’ consensus from virologist voters that HIV DNA sequencing should be performed when the viral quantity is sufficiently high (since the quantity of HIV DNA influences the quality of the results obtained), that it can be used from different blood sample matrix, indifferently by Sanger or UDS, and that duplicates increase test performance (although this cannot be used in current clinical practice). Nevertheless, knowing that HIV-DNA genotyping underestimates resistance detection due to a phenomenon of dilution of resistant species in the reservoir regardless of the sequencing method used, UDS methods might improve resistance detection in HIV-DNA due to their greater sensitivity.40–42 Virologists were unable to reach a consensus on the fact that, given the current state of knowledge, it may be worthwhile reporting any minority viral population detected for discussion in a multidisciplinary discussion. They also didn’t support the idea that it might be useful to report any minority viral population detected for multidisciplinary discussion in the current context of an undefined detection threshold for UDS techniques.
Although the 1% threshold for UDS techniques was found to be close to the sensitivity obtained in historical HIV RNA resistance tests,41 it was difficult for the SC to generate a statement for voting with such a detection threshold. This is due to the variability of this threshold depending on the UDS technique used, and the lack of solid evidence on the impact of a minority variant as low as 1% on virological failure for newer ARVs with a high barrier to resistance. Considering that UDS on HIV-DNA is now affordable in clinical practice and may become the potential new gold standard in the future, the definition of a technical cut-off to warrant enough sequencing accuracy and a clinical cut-off to establish the clinical relevance of minority variants on treatment switch in virologically suppressed patients are still unmet needs. So further research into these thresholds for both RNA- and DNA-based techniques is warranted.
As shown in the literature,43,44 the detection of the M184I mutation in HIV DNA suggests the presence of a defective genome due to the APOBEC enzyme when associated with other suggestive mutations (see Table S3 for the list of mutations)36 and/or stop codons, and a ‘strong’ consensus was reached on this statement. The presence of M184I mutation can impair the activity of XTC and possibly some nucleoside reverse transcriptase translocation inhibitors (NRTTIs). These mutations should be considered possible artefacts if they occur at the same threshold at which multiple signature APOBEC mutations are also present.45 When resistance mutations attributable to APOBEC are detected, it is recommended that their significance should be interpreted with caution37 and should be indicated in the HIV DNA genotyping analysis.
The HAS already recommends that the interpretation of results from a DNA-based genotypic resistance test requires consultation between clinician and virologist.46 In this context, a ‘strong’ consensus was reached on the need to discuss clinical interpretation of resistance mutations obtained by HIV DNA genotyping at multidisciplinary discussions. This was also the case regarding clinical decisions about switching ART and patient follow-up in newly detected resistance mutations.
The question of how resistance mutations are ‘archived’ over time remains important for the potential reuse of specific ARVs. A recent study investigated the kinetics of the M184V mutation in proviral HIV DNA in long-term virologically suppressed patients.47 The authors showed significant progressive clearance of the M184V mutation in proviral HIV DNA over the 5 years of the study. In the presence of a detected M184V substitution over the past 5 years, the SC looked for consensus statements on ARV recycling practices. In this context, the SC proposed statements on ARV recycling practices in the event of the presence of an M184V substitution detected within the last 5 years.
Regardless of the finding of an M184V mutation in the DNA genotype and clearance kinetics of the mutation, it has been observed that, in patients virologically suppressed for at least 1 year, the use of a second-generation InSTI + XTC + 1 NRTI regimen presents a low risk of virological failure over time.48 The voters ‘strongly’ endorsed this statement. However, when a M184V mutation has been documented over the past 5 years in a virologically suppressed patient, the virologist voters ‘strongly’ agreed that the use of a second-generation InSTI + XTC regimen could present a risk of virological failure over time, as described in some literature.49
For documented NNRTI mutations, there was a ‘strong’ consensus that the recycling of this ARV class is associated with an increased risk of virological failure, irrespective of the duration of viral suppression, particularly in drug reduction strategies and long-acting regimens using this ARV class.50
Since HIV DNA sequencing adds an important contribution to many clinical situations and patient follow-up,2 there was a ‘strong’ consensus that it should be accessible to all practitioners. Also, that its results should be received within 1 month. The literature rarely provides such an indication of time in which to report results but, with current HIV DNA sequencing methods being faster than before, this timeframe seems reasonable.51
The Delphi method is known as a structured procedure, which enables many experts to be consulted individually and anonymously on a specific subject while guaranteeing free expression of each voter. However, this approach has some limitations associated with voters’ profiles, statement elaboration and criteria considered to achieve a consensus.52 Our research sought to limit these potential biases as far as possible to ensure maximum objectivity. Although voters were recruited only in France, they were selected on objective criteria based on their experience and expertise in HIV care and HIV virology. These criteria yielded a voter sample with reassuring characteristics: a median of 10 years’ experience performing HIV DNA sequencing in the virologists’ group and a median of 25 years’ experience in PLWH management in the clinicians’ group. As far as the SC statements are concerned, a literature review made it possible to identify key questions raised in clinical practice and propose precisely worded statements. In terms of the threshold used to reach consensus, our study was based on a rigorous two-criteria approach. This strict and demanding definition lends a high degree of credibility to our results. To ensure the virologist panel represented the whole of France territory, the SC supported identification of some virologists. Finally, our research was conducted with a continuous and complete separation between voters who voted anonymously and SC members who neither participated in the vote nor interacted directly with voters. The constraint inherent in this separation was the absence of direct exchanges between voters and SC members: such exchanges could have been useful when revising statements for voting Round #2. Furthermore, like all Delphi-type consensus, the findings represent good practices for virologists and clinicians who remain masters of their own practice and must adapt findings to individual patient circumstances.
In conclusion, in this consensus research using the Delphi method, 18/20 (90%) statements achieved a consensus. Only two assertions did not reach consensus. Virologist voters remained divided on the value of discussing any minority population detected at a multidisciplinary meeting, and the clinician voters remained divided on the possible virological risk of using a combination of a second-generation InSTI + XTC in HIV suppressed patients of more than 1 year in the presence of a documented M184V mutation of less than 5 years.
Our consensus findings constitute a solid basis for implementation and homogenization of practice regarding the use of DNA HIV sequencing, its performance, and its reporting, particularly when needing to reduce the number of ARV agents and when using some long-acting regimens.
Supplementary Material
Acknowledgements
We would like to thank all virologists and clinicians who agreed to participate and vote on the statements in both rounds, and who made it possible to achieve this consensus.
Contributor Information
Elisabeth Andre-Garnier, Virology Department, University Hospital Nantes, CIC 1413 Nantes, France.
Laurence Bocket, Virology Department, University Hospital Lille, Lille, France.
Thomas Bourlet, Infectious Agents and Hygiene Department, University Hospital of Saint Etienne, Saint-Etienne, France.
Laurent Hocqueloux, Infectious and Tropical Diseases Department, University Hospital Orléans, Orléans, France.
Quentin Lepiller, Virology Department, University Hospital Besançon, Besançon, France.
Anne Maillard, Virology Department, University Hospital Rennes, Rennes, France.
Sandrine Reigadas, Gilead Sciences S.A.S., Boulogne-Billancourt, France.
Guillaume Barriere, Gilead Sciences S.A.S., Boulogne-Billancourt, France.
François Durand, Gilead Sciences S.A.S., Boulogne-Billancourt, France.
Brigitte Montes, Virology Department, University Hospital Montpellier, Montpellier, France.
Karl Stefic, Bacteriology, Virology and Hospital Hygene Department, University of Tours, INSERM U1259 MAVIVH, University Hospital Tours, Tours, France.
Anne-Geneviève Marcelin, Virology Departement, Sorbonne University, INSERM, Pierre Louis Institute of Epidemiology and Public Health, AP-HP, University Hospitals Pitié-Salpêtrière—Charles Foix, 83, Boulevard de l’hôpital, Paris 75013, France.
Funding
This consensus research was funded by Gilead Sciences.
Transparency declarations
This study was carried out with the institutional support of Gilead Sciences S.A.S. Operational and publishing aspects of the interviews were managed by Medica Education Corpus agency. Elisabeth ANDRE-GARNIER reports grants from Gilead Sciences, MSD and ViiV Healthcare. Laurence BOCKET reports grants from Gilead Sciences, MSD and ViiV Healthcare. Thomas BOURLET reports grants from MSD and GILEAD Sciences, not in the scope of the present work. Laurent HOCQUELOUX reports non-financial support from Gilead Sciences, MSD and ViiV Healthcare, payments for advisory board participation from Gilead Sciences and ViiV Healthcare, and personal fees from Gilead Sciences, MSD and ViiV Healthcare, all outside the submitted work. Quentin LEPILLER reports grants from Gilead Sciences, MSD and ViiV Healthcare. Anne MAILLARD reports grants from Gilead Sciences, MSD and ViiV Healthcare. Sandrine REIGADAS, Guillaume BARRIERE and François DURAND are employees of Gilead Sciences S.A.S. Brigitte MONTES reports grants from Gilead Sciences, MSD and ViiV Healthcare. Karl STEFIC reports payments for advisory board participation from Gilead Sciences and ViiV Healthcare. Anne-Geneviève MARCELIN reports grants from Gilead Sciences, MSD and ViiV Healthcare, and payments for advisory board participation from Gilead Sciences, MSD and ViiV Healthcare.
Supplementary data
Tables S1 to S3 are available as Supplementary data at JAC Online.
References
- 1. Panel on Antiretroviral Guidelines for Adults and Adolescents . Guidelines for the use of antiretroviral agents in adults and adolescents with HIV. https://clinicalinfo.hiv.gov/sites/default/files/guidelines/documents/adult-adolescent-arv/guidelines-adult-adolescent-arv.pdf.
- 2. European AIDS Clinical Society . GUIDELINES Version 11.1. 2022. https://www.eacsociety.org/media/guidelines-11.1_final_09-10.pdf
- 3. Assoumou L, Charpentier C, Recordon-Pinson P et al. Prevalence of HIV-1 drug resistance in treated patients with viral load.50 copies/mL: a 2014 French nationwide study. J Antimicrob Chemother 2017; 72: 1769–73. 10.1093/jac/dkx042 [DOI] [PubMed] [Google Scholar]
- 4. Wirden M, Soulie C, Valantin MA et al. Historical HIV-RNA resistance test results are more informative than proviral DNA genotyping in cases of suppressed or residual viraemia. J Antimicrob Chemother 2011; 66: 709–12. 10.1093/jac/dkq544 [DOI] [PubMed] [Google Scholar]
- 5. Delaugerre C, Braun J, Charreau I et al. Comparison of resistance mutation patterns in historical plasma HIV RNA genotypes with those in current proviral HIV DNA genotypes among extensively treated patients with suppressed replication. HIV Med 2012; 13: 517–25. 10.1111/j.1468-1293.2012.01002.x [DOI] [PubMed] [Google Scholar]
- 6. Boukli N, Boyd A, Collot M et al. Utility of HIV-1 DNA genotype in determining antiretroviral resistance in patients with low or undetectable HIV RNA viral loads. J Antimicrob Chemother 2018; 73: 3129–36. 10.1093/jac/dky316 [DOI] [PubMed] [Google Scholar]
- 7. CNS, ANRS . Optimisation d’un traitement antirétroviral en situation de succès virologique. Prise en charge médicale des personnes vivant avec le VIH. 2017. https://cns.sante.fr/actualites/prise-en-charge-du-vih-recommandations-du-groupe-dexperts/.
- 8. Dalkey NC. The Delphi method: an experimental study of group opinion. In: Dalkey NC, Rourke DL, Lewis R, Snyder D, eds. Studies in the Quality of Life: Delphi and Decision-Making. Lexington Books, 1972; 13–54. [Google Scholar]
- 9. Loblaw DA, Prestrud AA, Somerfield MR et al. American Society of Clinical Oncology clinical practice guidelines: formal systematic review-based consensus methodology. J Clin Oncol 2012; 30: 3136–40. 10.1200/JCO.2012.42.0489 [DOI] [PubMed] [Google Scholar]
- 10. Boulkedid R, Abdoul H, Loustau M et al. Using and reporting the Delphi method for selecting healthcare quality indicators: a systematic review. PLoS One 2011; 6: e20476. 10.1371/journal.pone.0020476 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Diamond IR, Grant RC, Feldman BM et al. Defining consensus: a systematic review recommends methodologic criteria for reporting of Delphi studies. J Clin Epidemiol 2014; 67: 401–9. 10.1016/j.jclinepi.2013.12.002 [DOI] [PubMed] [Google Scholar]
- 12. Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs 2000; 32: 1008–15. 10.1046/j.1365-2648.2000.t01-1-01567.x [DOI] [PubMed] [Google Scholar]
- 13. Hsu CC, Sandford BA. The Delphi technique: making sense of consensus. Pract Assess Res Evaluation 2019; 12: 10. 10.7275/pdz9-th90 [DOI] [Google Scholar]
- 14. Humphrey-Murto S, Varpio L, Wood TJ et al. The use of the Delphi and other consensus group methods in medical education research: a review. Acad Med 2017; 92: 1491–8. 10.1097/ACM.0000000000001812 [DOI] [PubMed] [Google Scholar]
- 15. Richard MA, Aubin F, Beneton N et al. Moderate psoriasis in clinical practice: French expert consensus using a modified Delphi method. Adv Ther 2022; 39: 5203–15. 10.1007/s12325-022-02305-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Kodjikian L, Baillif S, Couturier A et al. Recommendations for the management of diabetic macular oedema with intravitreal dexamethasone implant: a national Delphi consensus study. Eur J Ophthalmol 2022; 32: 2845–56. 10.1177/11206721211052852 [DOI] [PubMed] [Google Scholar]
- 17. Tsui S, Denison JA, Kennedy CE et al. Identifying models of HIV care and treatment service delivery in Tanzania, Uganda, and Zambia using cluster analysis and Delphi survey. BMC Health Serv Res 2017; 17: 811. 10.1186/s12913-017-2772-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Johnson MO, Neilands TB, Koester KA et al. Detecting disengagement from HIV care before it is too late: development and preliminary validation of a novel index of engagement in HIV care. J Acquir Immune Defic Syndr 2019; 81: 145–52. 10.1097/QAI.0000000000002000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. O’Connell KA, Kisteneff AV, Gill SS et al. HIV post-exposure prophylaxis in the emergency department: an updated assessment and opportunities for HIV prevention identified. Am J Emerg Med 2021; 46: 323–8. 10.1016/j.ajem.2020.10.004 [DOI] [PubMed] [Google Scholar]
- 20. Fredericksen RJ, Edwards TC, Merlin JS et al. Patient and provider priorities for self-reported domains of HIV clinical care. AIDS Care 2015; 27: 1255–64. 10.1080/09540121.2015.1050983 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Cummins D, Waters D, Aggar C et al. Assessing risk of HIV-associated neurocognitive disorder. Nurs Res 2019; 68: 22–8. 10.1097/NNR.0000000000000312 [DOI] [PubMed] [Google Scholar]
- 22. Greacen T, Kersaudy-Rahib D, Le Gall JM et al. Comparing the information and support needs of different population groups in preparation for 2015 government approval for HIV self-testing in France. PLoS One 2016; 11: e0152567. 10.1371/journal.pone.0152567 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Feyissa GT, Lockwood C, Woldie M et al. Evaluation of a guideline developed to reduce HIV-related stigma and discrimination in healthcare settings and establishing consensus. PLoS One 2018; 13: e0198781. 10.1371/journal.pone.0198781 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Johnson MO, Koester KA, Wood T et al. Development of an index of engagement in HIV care: an adapted internet-based Delphi process. JMIR Res Protoc 2017; 6: e224. 10.2196/resprot.8520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Uyei J, Li L, Braithwaite RS. HIV and alcohol research priorities of city, state, and federal policymakers: results of a Delphi study. Am J Public Health 2015; 105: e23–6. 10.2105/AJPH.2015.302799 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Maserati R, Antinori A, Bonora S et al. Optimizing HIV therapy. A consensus project on differences between cytidine analogues and regime compactness. New Microbiol 2014; 37: 285–306. [PubMed] [Google Scholar]
- 27. Adegbehingbe SM, Paul-Ebhohimhen V, Marais D. Development of an AFASS assessment and screening tool towards the prevention of mother-to-child HIV transmission (PMTCT) in sub-Saharan Africa - a Delphi survey. BMC Public Health 2012; 12: 402. 10.1186/1471-2458-12-402 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Engler K, Ahmed S, Lessard D et al. Assessing the content validity of a new patient-reported measure of barriers to antiretroviral therapy adherence for electronic administration in routine HIV care: proposal for a web-based Delphi study. JMIR Res Protoc 2019; 8: e12836. 10.2196/12836 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. HAS (Haute Autorité de Santé). Guide méthodologique . Élaboration de recommandations de bonne pratique. Méthode « Recommandations pour la pratique clinique ». 2010. https://www.has-sante.fr/upload/docs/application/pdf/2011-01/guide_methodologique_consensus_formalise.pdf.
- 30. Letrilliart L, Milliat-Guittard L, Romestaing P et al. Building a shared patient record for breast cancer management: a French Delphi study. Eur J Cancer Care (Engl) 2009; 18: 131–9. 10.1111/j.1365-2354.2007.00887.x [DOI] [PubMed] [Google Scholar]
- 31. McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. Int J Clin Pharm 2016; 38: 655–62. 10.1007/s11096-016-0257-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Koene S, van Bon L, Bertini E et al. Outcome measures for children with mitochondrial disease: consensus recommendations for future studies from a Delphi-based international workshop. J Inherit Metab Dis 2018; 41: 1267–73. 10.1007/s10545-018-0229-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Mangeat B, Turelli P, Caron G et al. Broad antiretroviral defence by human APOBEC3G through lethal editing of nascent reverse transcripts. Nature 2003; 424: 99–103. 10.1038/nature01709 [DOI] [PubMed] [Google Scholar]
- 34. Armitage AE, Deforche K, Chang CH et al. APOBEC3G-induced hypermutation of human immunodeficiency virus type-1 is typically a discrete “all or nothing” phenomenon. PLoS Genet 2012; 8: e1002550. 10.1371/journal.pgen.1002550 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Russell RA, Moore MD, Hu WS et al. APOBEC3G induces a hypermutation gradient: purifying selection at multiple steps during HIV-1 replication results in levels of G-to-A mutations that are high in DNA, intermediate in cellular viral RNA, and low in virion RNA. Retrovirology 2009; 6: 16. 10.1186/1742-4690-6-16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Armenia D, Gagliardini R, Alteri C et al. Temporal trend of drug-resistance and APOBEC editing in PBMC genotypic resistance tests from HIV-1 infected virologically suppressed individuals. J Clin Virol 2023; 168: 105551. 10.1016/j.jcv.2023.105551 [DOI] [PubMed] [Google Scholar]
- 37. Charpentier C, Storto A, Soulié C et al. Prevalence of genotypic baseline risk factors for cabotegravir + rilpivirine failure among ARV-naive patients. J Antimicrob Chemother 2021; 76: 2983–7. 10.1093/jac/dkab161 [DOI] [PubMed] [Google Scholar]
- 38. Sellem B, Abdi B, Lê M et al. Intermittent bictegravir/emtricitabine/tenofovir alafenamide treatment maintains high level of viral suppression in virally suppressed people living with HIV. J Pers Med 2023; 13: 583. 10.3390/jpm13040583 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Landman R, de Truchis P, Assoumou L et al. A 4-days-on and 3-days-off maintenance treatment strategy for adults with HIV-1 (ANRS 170 QUATUOR): a randomised, open-label, multicentre, parallel, non-inferiority trial. Lancet HIV 2022; 9: e79–90. 10.1016/S2352-3018(21)00300-3 [DOI] [PubMed] [Google Scholar]
- 40. St John EP, Simen BB, Turenchalk GS et al. A follow-up of the multicenter collaborative study on HIV-1 drug resistance and tropism testing using 454 ultra deep pyrosequencing. PLoS One 2016; 11: e0146687. 10.1371/journal.pone.0146687 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. 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. 10.1093/jac/dky315 [DOI] [PubMed] [Google Scholar]
- 42. Balakrishna S, Loosli T, Zaheri M et al. Frequency matters: comparison of drug resistance mutation detection by Sanger and next-generation sequencing in HIV-1. J Antimicrob Chemother 2023; 78: 656–64. 10.1093/jac/dkac430 [DOI] [PubMed] [Google Scholar]
- 43. Charpentier C, Montes B, Perrier M et al. HIV-1 DNA ultra-deep sequencing analysis at initiation of the dual therapy dolutegravir + lamivudine in the maintenance DOLULAM pilot study. J Antimicrob Chemother 2017; 72: 2831–6. 10.1093/jac/dkx233 [DOI] [PubMed] [Google Scholar]
- 44. Allavena C, Rodallec A, Leplat A et al. Interest of proviral HIV-1 DNA genotypic resistance testing in virologically suppressed patients candidate for maintenance therapy. J Virol Methods 2018; 251: 106–10. 10.1016/j.jviromet.2017.10.016 [DOI] [PubMed] [Google Scholar]
- 45. Tzou PL, Kosakovsky Pond SL, Avila-Rios S et al. Analysis of unusual and signature APOBEC-mutations in HIV-1 pol next-generation sequences. PLoS One 2020; 15: e0225352. 10.1371/journal.pone.0225352 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. CNS, ANRS . Prise en charge médicale des personnes vivant avec le VIH. Résistance du VIH-1 aux antirétroviraux. 2016. https://cns.sante.fr/wp-content/uploads/2017/02/experts-vih_resistance.pdf.
- 47. Palich R, Teyssou E, Sayon S et al. Kinetics of archived M184V mutation in treatment-experienced virally suppressed HIV-infected patients. J Infect Dis 2022; 225: 502–9. 10.1093/infdis/jiab413 [DOI] [PubMed] [Google Scholar]
- 48. Andreatta K, Willkom M, Martin R et al. Switching to bictegravir/emtricitabine/tenofovir alafenamide maintained HIV-1 RNA suppression in participants with archived antiretroviral resistance including M184V/I. J Antimicrob Chemother 2019; 74: 3555–64. 10.1093/jac/dkz347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Santoro MM, Armenia D, Teyssou E et al. Virological efficacy of switch to DTG plus 3TC in a retrospective observational cohort of suppressed HIV-1 patients with or without past M184V: the LAMRES study. J Glob Antimicrob Resist 2022; 31: 52–62. 10.1016/j.jgar.2022.07.022 [DOI] [PubMed] [Google Scholar]
- 50. Marcelin AG, Soulie C, Wirden M et al. The Virostar study: analysis of emergent resistance-associated mutations at first- or second-line HIV-1 virological failure with second-generation InSTIs in two- and three-drug regimens. HIV Glasgow Congress 2022. Abstract P225. [DOI] [PMC free article] [PubMed]
- 51. Alidjinou EK, Deldalle J, Hallaert C et al. RNA and DNA sanger sequencing versus next-generation sequencing for HIV-1 drug resistance testing in treatment-naive patients. Antimicrob Chemother 2017; 72: 2823–30. 10.1093/jac/dkx232 [DOI] [PubMed] [Google Scholar]
- 52. Skinner R, Nelson RR, Chin WW et al. The Delphi method research strategy in studies of information systems. Commun Assoc Inf Syst 2015; 37: 31–63. [Google Scholar]
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