Modelling the impact of treatment adherence on the transmission of HIV drug resistance

Abstract

Introduction A lower adherence rate (percentage of individuals taking drugs as prescribed) to ART may increase the risk of emergence and transmission of HIV drug resistance, decrease treatment efficacy, and increase mortality rate. Exploring the impact of ART adherence on the transmission of drug resistance could provide insights in controlling the HIV epidemic. Methods We proposed a dynamic transmission model incorporating the CD4 cell count-dependent rates of diagnosis, treatment and adherence with transmitted drug resistance (TDR) and acquired drug resistance. This model was calibrated and validated by 2008–2018 HIV/AIDS surveillance data and prevalence of TDR among newly diagnosed treatment-naive individuals from Guangxi, China, respectively. We aimed to identify the impact of adherence on drug resistance and deaths during expanding ART. Results In the base case (ART at 90% adherence and 79% coverage), we projected the cumulative total new infections, new drug-resistant infections, and HIV-related deaths between 2022 and 2050 would be 420 539, 34 751 and 321 671. Increasing coverage to 95% would reduce the above total new infections (deaths) by 18.85% (15.75%). Reducing adherence to below 57.08% (40.84%) would offset these benefits of increasing coverage to 95% in reducing infections (deaths). Every 10% decrease in adherence would need 5.07% (3.62%) increase in coverage to avoid an increase in infections (deaths). Increasing coverage to 95% with 90% (80%) adherence would increase the above drug-resistant infections by 11.66% (32.98%). Conclusions A decrease in adherence might offset the benefits of ART expansion and exacerbate the transmission of drug resistance. Ensuring treated patients’ adherence might be as important as expanding ART to untreated individuals.

Effectiveness of instant versus text messaging intervention on antiretroviral therapy adherence among men who have sex with men living with HIV

“…Recent modeling evidence indicated that the importance of 100% adherence level, which found that every 10% decrease in ART adherence would need 5.07% (3.62%) increase in coverage to avoid an increase in HIV infections (deaths). 25 Dose-timing adherence was measured by a question “how often did you take medications within 1 hour of prescribed dose-timing in the past month,” with options including “never,” “occasionally,” “nearly half the time,” “more than half the time (most of the time),” and “all within the prescribed time.” The 1-hour window of dose-timing adherence was based on clinical suggestion and a digital intervention in China. 26 …”