传输(电信)
抗药性
逻辑回归
中国
人类免疫缺陷病毒(HIV)
星团(航天器)
内科学
药品
生物
医学
人口学
病毒学
遗传学
药理学
地理
程序设计语言
社会学
考古
工程类
电气工程
计算机科学
作者
Dong Zhang,Jingwan Han,Hanping Li,Chenli Zheng,Zhi Li,Zixuan Sun,Hao Li,Tianyi Li,Xiaolin Wang,Lin Chen,Zhengrong Yang,Chunlin Lan,Siqi Li,Lei Jia,Yongxia Gan,Yifan Zhong,Jingyun Li,Lin Li,Jin Zhao
摘要
The 'treat-all' strategy was implemented in Shenzhen, China in 2016. The effect of this extensive treatment on transmitted drug resistance (TDR) of HIV is unclear.TDR analysis was performed, based on the partial HIV-1 pol gene obtained from the newly reported HIV-1 positive cases from 2011 to 2019 in Shenzhen, China. The HIV-1 molecular transmission networks were inferred to analyse the spread of TDR. Logistic regression was used to identify the potential risk factors with TDR mutations (TDRMs) to cluster.A total of 12 320 partial pol sequences were included in this study. The prevalence of TDR was 2.95% (363/12 320), which increased from 2.57% to 3.52% after 'treat-all'. The TDR prevalence was increased in populations with the characteristics of CRF07_BC, being single, educated to junior college level and above, MSM and male. The sensitivities of viruses to six antiretroviral drugs were decreased. The clustering rate of TDRMs remained stable, and the sequences in the three drug resistance transmission clusters (DRTCs) were mainly found during 2011-16. CRF07_BC and CRF55_01B were the factors associated with TDRMs clustering in the networks.The 'treat-all' strategy might have contributed to a small increase in TDR, while most of the TDRMs were distributed sporadically, which implies that the 'treat-all' strategy is helpful for the control of TDR in high-risk populations.
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