Literature DB >> 34035910

Beyond HIV viral load: application of pharmacologic measures to identify ART adherence mismatch.

Michael Kristofich1, Peter L Anderson1, Jose R Castillo-Mancilla2.   

Abstract

Entities:  

Year:  2021        PMID: 34035910      PMCID: PMC8127751          DOI: 10.1177/20499361211010596

Source DB:  PubMed          Journal:  Ther Adv Infect Dis        ISSN: 2049-9361


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Major advancements in antiretroviral therapy (ART) have been accomplished in the last two decades for the treatment of persons with HIV (PWH). This is largely the result of newer and more potent antiretroviral drugs that effectively suppress viral replication and are associated with fewer side effects. Despite this, the success of modern ART still relies on overall patient adherence. Therefore, accurately quantifying ART adherence remains of critical importance in clinical practice and research settings. Currently, a wide range of methods are used to assess adherence, each with specific advantages and limitations.[1] Subjective measures of adherence (e.g., self-report) are easy to implement, but are subject to both reporting and recall biases.[2] Pharmacy refills and pill counts are usually considered more objective, but are difficult to implement in clinical practice and do not confirm drug ingestion.[1] Since high adherence (i.e., >95%) was initially required to achieve and sustain viral suppression due to less potent drugs,[3] HIV viral load (VL) has been used as a surrogate for high ART adherence for many years. However, with the increased potency of new regimens, lower adherence may be sufficient to achieve viral suppression.[4] While this “forgiveness” to more potent drugs is advantageous, it results in less-than-optimal adherence that cannot be identified by relying on HIV VL alone, and has been found to have deleterious consequences, as it has been associated with heightened inflammation, immune activation, coagulopathy, and mortality.[5-7] Pharmacologic measures of adherence are objective and can avoid subjective biases.[1] However, they are dependent on the pharmacokinetics of the parent drug or metabolite that is quantified in the body fluid or matrix of interest. Short-term measures of recent dosing (i.e., drug concentration in plasma or urine and emtricitabine triphosphate in dried blood spots), are limited by the short half-lives of antiretrovirals in those matrices, thus translating into qualitative (i.e., yes/no for a recent dose) adherence information that is subject to white coat bias.[1] In comparison, pharmacologic measures of cumulative (i.e., long-term) adherence, such as drug (or metabolite) concentrations in dried blood spots and hair samples, can provide a more informative picture of cumulative drug intake over the preceding 4–12 weeks,[1] similar to the information provided by hemoglobin A1c (HbA1c) in persons with diabetes mellitus. In particular, tenofovir diphosphate (TFV-DP) in dried blood spots has been associated with viral suppression,[8,9] and is predictive of future viremia in PWH who are virologically suppressed.[10-12] Thus, this – and other – pharmacologic adherence biomarkers could be used to inform about ART adherence beyond HIV VL, allowing for a more comprehensive understanding of the level of adherence that resulted in viremia or suppression. In this context, TFV-DP in DBS as a marker of cumulative adherence, measured in conjunction with HIV VL, would result in four unique clinical interpretations as described below (Figure 1):
Figure 1.

Interpreting concomitant HIV viral suppression and drug concentrations in PWH. The green and red squares represent expected clinical scenarios in patients on ART in whom the pharmacologic adherence measures (i.e., drug concentrations) match the clinical outcome (i.e., viral suppression or viremia) and in whom positive feedback (green) or the identification of an adherence barrier (red) are indicated. The black square represents a mismatch scenario where HIV resistance testing is indicated in the setting of high viremia despite high drug concentrations that are expected to be suppressive. The yellow square represents a mismatch scenario in a patient who is virologically suppressed despite having low drug concentrations and in whom an adverse outcome (i.e., viremia, HIV transmission, heightened inflammation) might be imminent, requiring immediate counseling intervention. Adapted with permission from Spinelli et al.[1]

ART, antiretroviral therapy; PWH, persons with HIV.

Interpreting concomitant HIV viral suppression and drug concentrations in PWH. The green and red squares represent expected clinical scenarios in patients on ART in whom the pharmacologic adherence measures (i.e., drug concentrations) match the clinical outcome (i.e., viral suppression or viremia) and in whom positive feedback (green) or the identification of an adherence barrier (red) are indicated. The black square represents a mismatch scenario where HIV resistance testing is indicated in the setting of high viremia despite high drug concentrations that are expected to be suppressive. The yellow square represents a mismatch scenario in a patient who is virologically suppressed despite having low drug concentrations and in whom an adverse outcome (i.e., viremia, HIV transmission, heightened inflammation) might be imminent, requiring immediate counseling intervention. Adapted with permission from Spinelli et al.[1] ART, antiretroviral therapy; PWH, persons with HIV.

Viral suppression with high drug concentrations

This is an expected – and very likely – scenario where cumulative adherence (i.e., high drug concentrations) match the clinical outcome (i.e., undetectable HIV VL), informing PWH and medical providers that the patient is adhering to ART and that treatment is effective (Figure 1, green square). As such, this could serve as positive reinforcement to encourage continued adherence and to reassure the patient of the treatment’s efficacy, as is commonly done in other chronic medical conditions, such as diabetes mellitus.[13] This feedback could also reinforce the view that, by remaining highly adherent and virally suppressed, PWH greatly reduce their risk of progression to AIDS and of HIV transmission.

Viremia with low drug concentrations

For PWH in this scenario, the quantification of low cumulative adherence would match an unsuppressed HIV VL, informing patients and providers that treatment failure is most likely due to low adherence (Figure 1, red square). In this case, the clinician could use this information to initiate an open and honest discussion with the patient and identify challenges or barriers to adherence (side effects, cost of medication, competing events, etc.) and seek out an appropriate solution.[14] In addition, this could be an opportunity to remind PWH that low adherence and viremia are associated with the development of AIDS, non-AIDS comorbidities, and transmission.

Viremia with high drug concentrations

This is a mismatch scenario where HIV VL is elevated despite high cumulative adherence as measured by high drug concentrations (Figure 1, black square). Low-level or residual viremia have been associated with lower cumulative adherence,[15] but can also occur in patients who are highly adherent.[16] However, residual viremia has been found mostly to predict development of drug resistance and virologic failure only in patients with lower adherence.[15,17] More informative, however, would be high viremia in patients with high cumulative adherence, which is most likely due to antiretroviral resistance.[18-20] Thus, when facing this clinical presentation (i.e., high adherence and high viremia), providers could be more inclined to order HIV drug resistance testing rather than have repeated discussions about adherence (with the potential of further perpetuating the accumulation of drug resistance).

Viral suppression with low drug concentrations

The last scenario, another mismatch, is also highly informative – and perhaps the most impactful – as it encompasses PWH who are virally suppressed despite having low ART adherence (Figure 1, yellow square). Currently, interventions aimed at improving ART adherence are implemented only in PWH who are already viremic and might have already transmitted HIV, overlooking PWH in this fourth category. Since low cumulative adherence is predictive of future viremia,[10-12] even in PWH who are virally suppressed at the time of testing,[10] identifying PWH at high risk of viremia before it occurs could trigger an early intervention to prevent adverse health outcomes. In addition, it could help identify PWH who are undergoing frequent ART interruptions, which have also been associated with heightened residual inflammation, immune activation, and coagulopathy,[7] and identify early adherence barriers. In conclusion, pharmacologic measures of ART adherence can provide important clinical information beyond HIV VL, with the potential of better predicting outcomes in HIV treatment. The above-mentioned case-scenarios assume a rapid turnaround time for drug level assessment, which is currently approximately 1–2 weeks for laboratory-based assays. However, point-of-care assays of cumulative adherence are in development.[21] As data on the clinical utility of these measures continues to accumulate, further research on their implementation and their utility to provide constructive feedback will be required.
  18 in total

Review 1.  Self-report measures of antiretroviral therapy adherence: A review with recommendations for HIV research and clinical management.

Authors:  Jane M Simoni; Ann E Kurth; Cynthia R Pearson; David W Pantalone; Joseph O Merrill; Pamela A Frick
Journal:  AIDS Behav       Date:  2006-05

Review 2.  Approaches to Objectively Measure Antiretroviral Medication Adherence and Drive Adherence Interventions.

Authors:  Matthew A Spinelli; Jessica E Haberer; Peter R Chai; Jose Castillo-Mancilla; Peter L Anderson; Monica Gandhi
Journal:  Curr HIV/AIDS Rep       Date:  2020-08       Impact factor: 5.071

3.  Persistent low-level viraemia in antiretroviral treatment-experienced patients is not linked to viral resistance or inadequate drug concentrations.

Authors:  R Palich; M Wirden; G Peytavin; M-P Lê; S Seang; B Abdi; L Schneider; R Tubiana; M-A Valantin; O Paccoud; C Soulié; V Calvez; C Katlama; A-G Marcelin
Journal:  J Antimicrob Chemother       Date:  2020-10-01       Impact factor: 5.790

4.  Antiretroviral Adherence Level Necessary for HIV Viral Suppression Using Real-World Data.

Authors:  Kathy K Byrd; John G Hou; Ron Hazen; Heather Kirkham; Sumihiro Suzuki; Patrick G Clay; Tim Bush; Nasima M Camp; Paul J Weidle; Ambrose Delpino
Journal:  J Acquir Immune Defic Syndr       Date:  2019-11-01       Impact factor: 3.731

5.  Suboptimal Adherence to Combination Antiretroviral Therapy Is Associated With Higher Levels of Inflammation Despite HIV Suppression.

Authors:  Jose R Castillo-Mancilla; Todd T Brown; Kristine M Erlandson; Frank J Palella; Edward M Gardner; Bernard J C Macatangay; Elizabeth C Breen; Lisa P Jacobson; Peter L Anderson; Nikolas I Wada
Journal:  Clin Infect Dis       Date:  2016-09-22       Impact factor: 9.079

6.  Direct quantitation of tenofovir diphosphate in human blood with mass spectrometry for adherence monitoring.

Authors:  Fan Pu; Sangeeta Pandey; Lane R Bushman; Peter L Anderson; Zheng Ouyang; R Graham Cooks
Journal:  Anal Bioanal Chem       Date:  2020-01-02       Impact factor: 4.142

7.  Protease inhibitor levels in hair strongly predict virologic response to treatment.

Authors:  Monica Gandhi; Niloufar Ameli; Peter Bacchetti; Stephen J Gange; Kathryn Anastos; Alexandra Levine; Charles L Hyman; Mardge Cohen; Mary Young; Yong Huang; Ruth M Greenblatt
Journal:  AIDS       Date:  2009-02-20       Impact factor: 4.177

Review 8.  Patient-Reported Barriers to Adherence to Antiretroviral Therapy: A Systematic Review and Meta-Analysis.

Authors:  Zara Shubber; Edward J Mills; Jean B Nachega; Rachel Vreeman; Marcelo Freitas; Peter Bock; Sabin Nsanzimana; Martina Penazzato; Tsitsi Appolo; Meg Doherty; Nathan Ford
Journal:  PLoS Med       Date:  2016-11-29       Impact factor: 11.069

9.  Association of Incomplete Adherence to Antiretroviral Therapy With Cardiovascular Events and Mortality in Virologically Suppressed Persons With HIV: The Swiss HIV Cohort Study.

Authors:  Jose R Castillo-Mancilla; Matthias Cavassini; Marie Paule Schneider; Hansjakob Furrer; Alexandra Calmy; Manuel Battegay; Giulia Scanferla; Enos Bernasconi; Huldrych F Günthard; Tracy R Glass
Journal:  Open Forum Infect Dis       Date:  2021-01-21       Impact factor: 4.423

10.  Moderately High Tenofovir Diphosphate in Dried Blood Spots Indicates Drug Resistance in Viremic Persons Living with HIV.

Authors:  Jenna Lynn Yager; Ryan Patrick Coyle; Stacey Summer Coleman; Lucas Ellison; Jia-Hua Zheng; Lane Bushman; Edward Michael Gardner; Mary Morrow; Samantha MaWhinney; Peter L Anderson; Jennifer Justice Kiser; Jose Ramon Castillo-Mancilla
Journal:  J Int Assoc Provid AIDS Care       Date:  2019 Jan-Dec
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  3 in total

1.  Use of Tenofovir Diphosphate Levels to Predict Viremia During the Postpartum Period in Women Living With Human Immunodeficiency Virus (HIV): A Nested Case-Control Study.

Authors:  Jasantha Odayar; Catherine Orrell; Tamsin K Phillips; Nai Chung Hu; Siti Kabanda; Thokozile R Malaba; Joanna Allerton; Lubbe Wiesner; Nei Yuan Hsiao; Jose Castillo-Mancilla; Maia Lesosky; Landon Myer
Journal:  Clin Infect Dis       Date:  2022-09-14       Impact factor: 20.999

2.  Tenofovir Diphosphate in Dried Blood Spots in Pregnant and Postpartum Women With HIV in Kenya: A Novel Approach to Measuring Peripartum Adherence.

Authors:  Lisa L Abuogi; Jose Castillo-Mancilla; Karen Hampanda; Kevin Owuor; Tobias Odwar; Maricianah Onono; Anna Helova; Janet M Turan; Peter L Anderson
Journal:  J Acquir Immune Defic Syndr       Date:  2022-03-01       Impact factor: 3.771

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

Authors:  Jose R Castillo-Mancilla; Mary Morrow; Ryan P Coyle; Stacey S Coleman; Jia-Hua Zheng; Lucas Ellison; Lane R Bushman; Jennifer J Kiser; Peter L Anderson; Samantha MaWhinney
Journal:  Open Forum Infect Dis       Date:  2021-09-17       Impact factor: 3.835

  3 in total

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