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

被引:4
|
作者
Lai, Hao [1 ]
Li, Rui [1 ]
Li, Zengbin [1 ]
Zhang, Baoming [2 ,3 ,4 ]
Li, Chao [4 ]
Song, Chang [5 ]
Zhao, Quanbi [5 ]
Huang, Jinghua [6 ]
Zhu, Qiuying [6 ]
Liang, Shujia [6 ]
Chen, Huanhuan [6 ]
Li, Jianjun [6 ]
Liao, Lingjie [5 ,6 ]
Shao, Yiming [5 ,6 ]
Xing, Hui [5 ,6 ]
Ruan, Yuhua [5 ,6 ]
Lan, Guanghua [6 ]
Zhang, Lei [1 ,7 ,8 ]
Shen, Mingwang [1 ,9 ]
机构
[1] Xi An Jiao Tong Univ, China Australia Joint Res Ctr Infect Dis, Sch Publ Hlth, Hlth Sci Ctr, Xian 710061, Shaanxi, Peoples R China
[2] Xi An Jiao Tong Univ, Coll Stomatol, Xian 710004, Shaanxi, Peoples R China
[3] Xi An Jiao Tong Univ, Coll Stomatol, Key Lab Shaanxi Prov Craniofacial Precis Med Res, Xian 710004, Shaanxi, Peoples R China
[4] Xi An Jiao Tong Univ, Sch Publ Hlth, Hlth Sci Ctr, Xian 710061, Shaanxi, Peoples R China
[5] Chinese Ctr Dis Control & Prevent China CDC, Natl Ctr AIDS STD Control & Prevent NCAIDS, Collaborat Innovat Ctr Diag & Treatment Infect Dis, State Key Lab Infect Dis Prevent & Control SKLID, Beijing 102206, Peoples R China
[6] Guangxi Ctr Dis Control & Prevent, Guangxi Key Lab Major Infect Dis Prevent Control &, Nanning 530028, Peoples R China
[7] Alfred Hlth, Melbourne Sexual Hlth Ctr, Artificial Intelligence & Modelling Epidemiol Prog, Melbourne, Australia
[8] Monash Univ, Fac Med, Cent Clin Sch, Melbourne, Australia
[9] Xi An Jiao Tong Univ, Sch Publ Hlth, Key Lab Dis Prevent & Control & Hlth Promot Shaanx, Hlth Sci Ctr, Xian, Shaanxi, Peoples R China
基金
国家重点研发计划; 比尔及梅琳达.盖茨基金会; 中国国家自然科学基金; 中国博士后科学基金;
关键词
COMBINATION ANTIRETROVIRAL THERAPY; LIFE EXPECTANCY; INCOME COUNTRIES; ART ADHERENCE; INFECTION; CHINA; RISK; TIME; MEN; INTERVENTION;
D O I
10.1093/jac/dkad186
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
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.
引用
收藏
页码:1934 / 1943
页数:10
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