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. 2018 Jan;97(2):e9495.
doi: 10.1097/MD.0000000000009495.

Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus

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Predicting poor adherence to antiretroviral therapy among treatment-naïve veterans infected with human immunodeficiency virus

Yan Cheng et al. Medicine (Baltimore). 2018 Jan.

Abstract

Previous studies suggested that human immunodeficiency virus (HIV) infected patients at risk of poor adherence were not distinguishable only based on the baseline characteristics. This study is to identify patient characteristics that would be consistently associated with poor adherence across regimens and to understand the associations between initial and long-term adherence. HIV treatment-naïve patients initiated on protease inhibitors, nonnucleoside reverse transcriptase inhibitors, or integrase strand transfer inhibitors were identified from the Veteran Health Administration system. Initial adherence measured as initial coverage ratio (ICR) and long-term adherence measured as thereafter 1-year proportion days covered (PDC) of base agent and complete regimen were estimated for each patient. The patients most likely to exhibit poor adherence were African-American, with lower socioeconomic status, and healthier. The initial coverage ratio of base agent and complete regimen were highly correlated, but the correlations between ICR and thereafter 1-year PDC were low. However, including initial adherence as a predictor in predictive model would substantially increase predictive accuracy of future adherence.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1
Figure 1
Adherence Change Pattern by Initiated Regimen.

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References

    1. Singh R, Song R, Johnson AS, et al. HIV incidence, prevalence, and undiagnosed infections in men who have sex with men. Conference on Retroviruses and Opportunistic Infections; Seattle, Washington; 2017.
    1. Samji H, Cescon A, Hogg RS, et al. Closing the gap: increases in life expectancy among treated HIV-positive individuals in the United States and Canada. PLoS One 2013;8:e81355. - PMC - PubMed
    1. Pandhi D, Ailawadi P. Initiation of antiretroviral therapy. Indian J Sex Trans Dis 2014;35:1–1. - PMC - PubMed
    1. Garcia de Olalla P, Knobel H, Carmona A, et al. Impact of adherence and highly active antiretroviral therapy on survival in HIV-infected patients. J Acquir Immune Defic Syndr 2002;30:105–10. - PubMed
    1. Bangsberg DR, Perry S, Charlebois ED, et al. Non-adherence to highly active antiretroviral therapy predicts progression to AIDS. AIDS 2001;15:1181–3. - PubMed

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