Infection and Drug Resistance (Dec 2021)

Risk Factors of Drug Resistance and the Potential Risk of HIV-1 Transmission of Patients with ART Virological Failure: A Population-Based Study in Sichuan, China

  • Zhou C,
  • Kang R,
  • Liang S,
  • Fei T,
  • Li Y,
  • Su L,
  • Li L,
  • Ye L,
  • Zhang Y,
  • Yuan D

Journal volume & issue
Vol. Volume 14
pp. 5219 – 5233

Abstract

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Chang Zhou,1,* Rui Kang,2,* Shu Liang,1 Teng Fei,2 Yiping Li,1 Ling Su,1 Ling Li,1 Li Ye,1 Yan Zhang,1 Dan Yuan1 1Center for AIDS/STD Control and Prevention, Sichuan Center for Disease Control and Prevention, Chengdu, People’s Republic of China; 2School of Resource and Environmental Sciences, Wuhan University, Wuhan, People’s Republic of China*These authors contributed equally to this workCorrespondence: Dan Yuan Email [email protected]: Sichuan Province, in the interior of Southwest China, is the most severe HIV-affected area in China. Few data are currently available for people living with HIV/AIDS (PLWH) with virological failure of antiretroviral therapy (ART). Estimating the HIV-1 drug-resistant spread influencing factors and transmission patterns of the HIV-1 epidemic of PLWH with ART virological failure are critical in Sichuan.Methods: We evaluated the drug-resistant transmission patterns on 5790 PLWH in 2018 with identified pol sequences of the five main HIV-1 subtypes (ie, subtype B, CRF08_BC, CRF85_BC, CRF07_BC, and CRF01_AE) in Sichuan Province, China. The multivariate logistic regression model was used to explore potential influencing factors of the spread of drug resistance (DR) clustering in the genetic transmission network. Spatial analyses were applied to demonstrate drug-resistant spatial clustering patterns of spatial connections of HIV-1 intercity transmission. Genetic transmission networks were performed by comparing sequences, calculating the pairwise distance, and visualizing the network.Results: There were identified 452 transmission clusters containing 2159 of 5790 patients (37.29%) in the HIV-1 genetic transmission networks. Some clinical and demographic factors (eg, route of transmission, subtype) determined the DR clustering in the genetic transmission networks. The high drug-resistant clustering rates were mainly distributed in the Southern and Northeast of Sichuan Province (eg, Deyang, Neijiang), especially for CRF85_BC, which showed the highest clustering rate. Some cities had with strong intracity links (eg, Yibin, Neijiang), some cities had with strong transmission links with another city (eg, Ziyang and Guangyuan), 12 of 37 drug resistance mutation sites had a significant difference in the five subtypes (P < 0.001).Conclusion: Our findings revealed the HIV-1 drug-resistant spread influencing factors and transmission patterns of PLWH with ART virological failure, which showed regions with high drug-resistant transmission of PLWH may not be a match for regions with severe epidemics in Sichuan, and it provided evidence-based to drug-resistant transmission targeting interventions.Keywords: HIV-1, antiretroviral resistance, transmitted drug resistance, spatial analyses

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