Zhang Quan, Li Xiaoming, Qiao Shan, Liu Shuaifeng, Shen Zhiyong, Zhou Yuejiao
South Carolina SmartState Center for Healthcare Quality (CHQ), Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Institute of Pedagogy and Applied Psychology, School of Public Administration, Hohai University, Nanjing, Jiangsu, People's Republic of China.
Patient Prefer Adherence. 2021 Apr 23;15:853-861. doi: 10.2147/PPA.S277965. eCollection 2021.
Hair concentrations of antiretrovirals are an innovative and non-invasive method for measuring cumulative antiretroviral exposure and assessing long-term antiretroviral adherence. This study aimed to examine hair concentrations of antiretrovirals in relation to virologic outcomes among PLHIV in Guangxi, China.
Cross-sectional data of hair concentrations of antiretrovirals and HIV viral load were collected from 215 PLHIV in Guangxi, China. Multivariate logistic regression analyses were used to examine the association of hair concentrations of antiretrovirals with virologic outcomes.
Of the 215 participants, 215, 67, and 163 PLHIV are receiving lamivudine, zidovudine, and efavirenz, respectively. Multivariate analysis revealed that hair concentrations of lamivudine [odds ratio = 16.52, 95% CI 2.51-108.60, = 0.004] and efavirenz [odds ratio = 14.26, 95% CI 1.18-172.01, = 0.036], but not zidovudine [odds ratio = 1.77, 95% CI 0.06-56.14, = 0.747], were the strongest independent predictor of virologic suppression when controlling for sociodemographic and other HIV-related characteristics.
Hair concentrations of lamivudine and efavirenz were the strongest independent predictor of virologic suppression among Chinese PLHIV. Hair analysis of antiretrovirals may provide a non-invasive, cost-effective tool that predicts virologic suppression among PLHIV in China.
抗逆转录病毒药物的头发浓度是一种创新的非侵入性方法，用于测量抗逆转录病毒药物的累积暴露量并评估长期抗逆转录病毒治疗的依从性。本研究旨在探讨中国广西艾滋病病毒感染者（PLHIV）抗逆转录病毒药物的头发浓度与病毒学结局之间的关系。
收集了中国广西215名PLHIV的抗逆转录病毒药物头发浓度和HIV病毒载量的横断面数据。采用多因素logistic回归分析来检验抗逆转录病毒药物头发浓度与病毒学结局之间的关联。
在215名参与者中，分别有215名、67名和163名PLHIV正在接受拉米夫定、齐多夫定和依非韦伦治疗。多因素分析显示，在控制社会人口学和其他与HIV相关的特征后，拉米夫定的头发浓度[比值比=16.52，95%可信区间2.51-108.60，P=0.004]和依非韦伦的头发浓度[比值比=14.26，95%可信区间1.18-172.01，P=0.036]是病毒学抑制的最强独立预测因素，而齐多夫定不是[比值比=1.77，95%可信区间0.06-56.14，P=0.747]。
拉米夫定和依非韦伦的头发浓度是中国PLHIV中病毒学抑制的最强独立预测因素。抗逆转录病毒药物的头发分析可能提供一种非侵入性、具有成本效益的工具，用于预测中国PLHIV的病毒学抑制情况。
