Utility of Different Adherence Measures for PrEP: Patterns and Incremental Value.
Utility of Different Adherence Measures for PrEP: Patterns and Incremental Value.
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DOI：
10.1007/s10461-017-1951-y
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发表时间：
2018-04
影响因子：
4.4
通讯作者：
Haberer JE
中科院分区：
文献类型：
--
作者：
Abaasa A;Hendrix C;Gandhi M;Anderson P;Kamali A;Kibengo F;Sanders EJ;Mutua G;Bumpus NN;Priddy F;Haberer JE
衡量PrEP遵从性仍然具有挑战性。2009-2010年，国际艾滋病疫苗倡议在乌干达和肯尼亚随机安排第二阶段试验参与者每天服用富马酸替诺福韦/恩曲他滨或安慰剂。依从性通过电子监测(EM)、自我报告(SR)以及血浆和头发中的药物浓度来衡量。每个依从性指标被分类为低、中或高，并持续考虑；确定组合措施的增量值。对45名参与者进行了超过4个月的跟踪调查。受试者工作曲线下面积(AROC)对EM粘附性的识别率SR较差(0.53)，而Hair最好(AROC 0.85)。当头发与血浆或头发与自我报告相结合时，辨别力得到改善(Aroc>；(0.9))。自我报告的坚持本身的效用很低。头发水平是预测EM评估依从性的唯一最佳PK指标；其他指标的鉴别值较低。结合短期(血浆)和长期(头发)指标可能有助于评估PrEP背景下的吸毒模式。
Measuring PrEP adherence remains challenging. In 2009–2010, the International AIDS Vaccine Initiative randomized phase II trial participants to daily tenofovir disoproxil fumarate/emtricitabine or placebo in Uganda and Kenya. Adherence was measured by electronic monitoring (EM), self-report (SR), and drug concentrations in plasma and hair. Each adherence measure was categorised as low, moderate, or high and also considered continuously; the incremental value of combining measures was determined. Forty-five participants were followed over 4 months. Discrimination for EM adherence by area under receiver operating curves (AROC) was poor for SR (0.53) and best for hair (AROC 0.85). When combining hair with plasma or hair with self-report, discrimination was improved (AROC > 0.9). Self-reported adherence was of low utility by itself. Hair level was the single best PK measure to predict EM-assessed adherence; the other measurements had lower discrimination values. Combining short-term (plasma) and long-term (hair) metrics could be useful to assess patterns of drug-taking in the context of PrEP.
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DOI：
10.1097/qai.0000000000000172
发表时间：
2014-07-01
期刊：
Journal of acquired immune deficiency syndromes (1999)
影响因子：
--
作者：
Donnell D;Baeten JM;Bumpus NN;Brantley J;Bangsberg DR;Haberer JE;Mujugira A;Mugo N;Ndase P;Hendrix C;Celum C
通讯作者：
Celum C
影响因子：
3.7
作者：
Haberer JE;Kiwanuka J;Nansera D;Ragland K;Mellins C;Bangsberg DR
通讯作者：
Bangsberg DR
影响因子：
4.4
作者：
Amico KR;Mehrotra M;Avelino-Silva VI;McMahan V;Veloso VG;Anderson P;Guanira J;Grant R;iPrEx Study Team
通讯作者：
iPrEx Study Team
影响因子：
16.1
作者：
Gandhi, Monica;Glidden, David V.;Mayer, Kenneth;Schechter, Mauro;Buchbinder, Susan;Grinsztejn, Beatriz;Hosek, Sybil;Casapia, Martin;Guanira, Juan;Bekker, Linda-Gail;Louie, Alexander;Horng, Howard;Benet, Leslie Z.;Liu, Albert;Grant, Robert M.
通讯作者：
Grant, Robert M.
影响因子：
4.4
作者：
Kebaabetswe, Poloko M.;Stirratt, Michael J.;Paxton, Lynn A.
通讯作者：
Paxton, Lynn A.