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Moving Antiretroviral Adherence Assessments to the Modern Era: Correlations Among Three Novel Measures of Adherence

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Abstract

There is no gold standard for estimating antiretroviral therapy (ART) adherence. Feasible, acceptable, and objective measures that are cost- and time-effective are needed. US adults (N = 93) on ART for ≥ 3 months, having access to a mobile phone and internet, and willing to mail in self-collected hair samples, were recruited into a pilot study of remote adherence data collection methods. We examined the correlation of self-reported adherence and three objective remotely collected adherence measures: text-messaged photographs of pharmacy refill dates for pharmacy-refill-based adherence, text-messaged photographs of pills for pill-count-based adherence, and assays of home-collected hair samples for pharmacologic-based adherence. All measures were positively correlated. The strongest correlation was between pill-count- and pharmacy-refill-based adherence (r = 0.68; p < 0.001), and the weakest correlation was between self-reported adherence and hair drug concentrations (r = 0.14, p = 0.34). The three measures provide objective adherence data, are easy to collect, and are viable candidates for future HIV treatment and prevention research.

Resumen

No existe un estándar para estimar la adherencia a la terapia antirretroviral (TAR). Se necesitan medidas viables, aceptables y objetivas que sean económico y efectivo en el tiempo. Los adultos de EEUU (N = 93) en tratamiento antirretroviral durante ≥ 3 meses, con acceso a un teléfono móvil e Internet, y dispuestos a enviar muestras de cabello recolectadas por sí mismos, fueron reclutados para un estudio piloto de métodos de recolección de datos de adherencia remota. Examinamos la correlación de la adherencia autoinformada y tres medidas objetivas de adherencia recolectadas de forma remota: fotografías enviadas por mensaje de texto de fechas de recarga de farmacia para adherencia basada en recarga de farmacia, fotografías enviadas por mensaje de texto de píldoras para adherencia basada en conteo de píldoras, y ensayos de muestras de cabello recolectadas en el hogar para adherencia farmacológica. Todas las medidas se correlacionaron positivamente. La correlación más fuerte fue entre la adherencia basada en el recuento de píldoras y la recarga basada en medicamentos (r = 0·68; p < 0·001), y la correlación más débil fue entre la adherencia autoinformada y las concentraciones de drogas de cabello (r = 0·14, p = 0·34). Las tres medidas proporcionan datos de cumplimiento objetivos, son fáciles de recopilar y son candidatos viables para futuras investigaciones sobre prevención y tratamiento del VIH.

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References

  1. Chesney MA. The elusive gold standard. Future perspectives for HIV adherence assessment and intervention. J Acquir Immune Defic Syndr. 2006;43(Suppl 1):S149–55.

    Article  Google Scholar 

  2. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy. N Engl J Med. 2011;365(6):493–505.

    Article  CAS  Google Scholar 

  3. Bangsberg DR, Perry S, Charlebois ED, Clark RA, Roberston M, Zolopa AR, et al. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS. 2001;15(9):1181–3.

    Article  CAS  Google Scholar 

  4. Paterson DL, Swindells S, Mohr J, Brester M, Vergis EN, Squier C, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133(1):21–30.

    Article  CAS  Google Scholar 

  5. Marcellin F, Spire B, Carrieri MP, Roux P. Assessing adherence to antiretroviral therapy in randomized HIV clinical trials: a review of currently used methods. Expert Rev Anti-Infe. 2013;11(3):239–50.

    Article  CAS  Google Scholar 

  6. Saberi P, Caswell N, Amodio-Groton M, Alpert P. Pharmacy-refill measure of adherence to efavirenz can predict maintenance of HIV viral suppression. AIDS Care. 2008;20(6):741–5.

    Article  CAS  Google Scholar 

  7. Grossberg R, Zhang YW, Gross R. A time-to-prescription-refill measure of antiretroviral adherence predicted changes in viral load in HIV. J Clin Epidemiol. 2004;57(10):1107–10.

    Article  Google Scholar 

  8. Duong M, Piroth L, Peytavin G, Forte F, Kohli E, Grappin M, et al. Value of patient self-report and plasma human immunodeficiency virus protease inhibitor level as markers of adherence to antiretroviral therapy: relationship to virologic response. Clin Infect Dis. 2001;33(3):386–92.

    Article  CAS  Google Scholar 

  9. Gandhi M, Greenblatt RM. Hair it is: the long and short of monitoring antiretroviral treatment. Ann Intern Med. 2002;137(8):696–7.

    Article  Google Scholar 

  10. Williams AB, Amico KR, Bova C, Womack JA. A proposal for quality standards for measuring medication adherence in research. AIDS Behav. 2013;17(1):284–97.

    Article  Google Scholar 

  11. Berg KM, Arnsten JH. Practical and conceptual challenges in measuring antiretroviral adherence. JAIDS-J Acquir Immune Defic. 2006;43:S79–87.

    Article  Google Scholar 

  12. Kagee A, Nel A. Assessing the association between self-report items for HIV pill adherence and biological measures. AIDS Care. 2012;24(11):1448–52.

    Article  Google Scholar 

  13. Liu H, Golin CE, Miller LG, Hays RD, Beck CK, Sanandaji S, et al. A comparison study of multiple measures of adherence to HIV protease inhibitors. Ann Intern Med. 2001;134(10):968–77.

    Article  CAS  Google Scholar 

  14. Arnsten JH, Demas PA, Farzadegan H, Grant RW, Gourevitch MN, Chang CJ, et al. Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: comparison of self-report and electronic monitoring. Clin Infect Dis. 2001;33(8):1417–23.

    Article  CAS  Google Scholar 

  15. Blumenthal J, Haubrich R. Pre-exposure prophylaxis for HIV infection: how antiretroviral pharmacology helps to monitor and improve adherence. Expert Opin Pharmacother. 2013;14(13):1777–85.

    Article  CAS  Google Scholar 

  16. Saberi P, Ming K, Legnitto D, Neilands TB, Gandhi M, Johnson MO. Novel methods to estimate antiretroviral adherence: protocol for a longitudinal study. Patient Prefer Adher. 2018;12:1033–42.

    Article  Google Scholar 

  17. Lu M, Safren SA, Skolnik PR, Rogers WH, Coady W, Hardy H, et al. Optimal recall period and response task for self-reported HIV medication adherence. AIDS Behav. 2008;12(1):86–94.

    Article  Google Scholar 

  18. Saberi P, Neilands TB, Ming K, Johnson MO, Kuncze K, Koss CA, et al. Strong correlation between concentrations of antiretrovirals in home-collected and study-collected hair samples: implications for adherence monitoring. J Acquir Immune Defic Syndr. 2017;76(4):e101–3.

    Article  Google Scholar 

  19. Benner JS, Glynn RJ, Mogun H, Neumann PJ, Weinstein MC, Avorn J. Long-term persistence in use of statin therapy in elderly patients. JAMA-J Am Med Assoc. 2002;288(4):455–61.

    Article  Google Scholar 

  20. Kalichman SC, Amaral CM, Stearns H, White D, Flanagan J, Pope H, et al. Adherence to antiretroviral therapy assessed by unannounced pill counts conducted by telephone. J Gen Intern Med. 2007;22(7):1003–6.

    Article  Google Scholar 

  21. Bangsberg DR, Hecht FM, Charlebois ED, Chesney M, Moss A. Comparing objective measures of adherence to HIV antiretroviral therapy: electronic medication monitors and unannounced pill counts. AIDS Behav. 2001;5(3):275–81.

    Article  Google Scholar 

  22. Huang Y, Gandhi M, Greenblatt RM, Gee WN, Lin ET, Messenkoff N. Sensitive analysis of anti-HIV drugs, efavirenz, lopinavir and ritonavir, in human hair by liquid chromatography coupled with tandem mass spectrometry. Rapid Commun Mass Spectrom. 2008;22(21):3401–9.

    Article  CAS  Google Scholar 

  23. Huang Y, Yang QY, Yoon K, Lei Y, Shi R, Gee W, et al. Microanalysis of the antiretroviral nevirapine in human hair from HIV-infected patients by liquid chromatography-tandem mass spectrometry. Anal Bioanal Chem. 2011;401(6):1923–33.

    Article  CAS  Google Scholar 

  24. Liu AY, Yang QY, Huang Y, Bacchetti P, Anderson PL, Jin CS, et al. Strong relationship between oral dose and tenofovir hair levels in a randomized trial: hair as a potential adherence measure for pre-exposure prophylaxis (PrEP). PLoS ONE. 2014;9(1):e83736.

    Article  CAS  Google Scholar 

  25. Saberi P, Ming K, Legnitto D, Neilands TB, Gandhi M, Johnson MO. Feasibility and acceptability of novel methods to estimate antiretroviral adherence: a longitudinal study. PLoS ONE. 2019;14(1):e0210791.

    Article  CAS  Google Scholar 

  26. Hickey MD, Salmen CR, Tessler RA, Omollo D, Bacchetti P, Magerenge R, et al. Antiretroviral concentrations in small hair samples as a feasible marker of adherence in rural kenya. JAIDS-J Acquir Immune Defic. 2014;66(3):311–5.

    Article  CAS  Google Scholar 

  27. Koss CA, Bacchetti P, Hillier SL, Livant E, Horng H, Mgodi N, et al. Differences in cumulative exposure and adherence to tenofovir in the VOICE, iPrEx OLE, and PrEP demo studies as determined via hair concentrations. AIDS Res Hum Retroviruses. 2017;33(8):778.

    Article  CAS  Google Scholar 

  28. Tabb ZJ, Mmbaga BT, Gandhi M, Louie A, Kuncze K, Okochi H, et al. Antiretroviral drug concentrations in hair are associated with virologic outcomes among young people living with HIV in Tanzania. AIDS. 2018;32(9):1115–23.

    Article  CAS  Google Scholar 

  29. Giordano TP, Guzman D, Clark R, Charlebois ED, Bangsberg DR. Measuring adherence to antiretroviral therapy in a diverse population using a visual analogue scale. HIV Clin Trials. 2004;5(2):74–9.

    Article  Google Scholar 

  30. Gandhi M, Ameli N, Bacchetti P, Gange SJ, Anastos K, Levine A, et al. Protease inhibitor levels in hair strongly predict virologic response to treatment. AIDS. 2009;23(4):471–8.

    Article  CAS  Google Scholar 

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Acknowledgements

The authors do not have a commercial or other association that might pose a conflict of interest. Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health under Award Number Award Numbers R21MH108414 (P.I. Saberi), K23MH097649 (P.I. Saberi), and K24DA037034 (P.I. Johnson), and the National Institute of Allergy and Infectious Diseases 2R01AI098472 (P.I. Gandhi). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. These data have not been presented at any meetings. The authors would like to thank the participants for taking part in this study; Dr. Hideaki Okochi, the HAL Director, and Karen Kuncze in the HAL, for their work on the assays; Dr. Peter Bacchetti for his guidance with data analysis; and Dr. Nicolas Sheon for his help in creating the video describing the study objectives and demonstrating home-collection of hair.

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Saberi, P., Chakravarty, D., Ming, K. et al. Moving Antiretroviral Adherence Assessments to the Modern Era: Correlations Among Three Novel Measures of Adherence. AIDS Behav 24, 284–290 (2020). https://doi.org/10.1007/s10461-019-02744-w

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