Association of Pharmacogenetic Markers With Atazanavir Exposure in HIV‐Infected Women

Study, Women’s Interagency Hiv

doi:10.1002/cpt.1605

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…The findings regarding the lack of association of most potential factors with hair lamivudine concentration were generally in line with the results from previous studies by using hair concentrations of other antiretroviral medications. For example, major previous studies also reported that some of those factors had no significant influence on hair concentrations of tenofovir (for example, age, gender, ethnicity, weight, hair colour, hair treatment) [9,28-33], zidovudine (for example, gender) [24], efavirenz (for example, age, ethnicity) [8,34] and atazanavir (for example, age, gender, ethnicity, BMI, duration of treatment) [35,36]. Taken together, hair antiretroviral concentration was less affected by some of those factors than plasma antiretroviral concentration.…”

Section: Discussionmentioning

confidence: 99%

Factors Influencing Hair Lamivudine Concentration among People Living with HIV in Guangxi, China

Zhang

Qiao

et al. 2019

Antiviral Therapy

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Background Hair antiretroviral concentration has served as an innovative and objective measure of antiretroviral adherence. However, some factors (for example, pharma-cokinetics and hair characteristics) may contribute to the variability of hair antiretroviral concentration that may threaten the validity and reliability of the hair measure as a biomarker of adherence. This study aimed to examine the potential factors that may influence the measure of hair antiretroviral concentration. Methods Hair samples from a cohort of 372 people living with HIV (PLHIV) receiving lamivudine (300 mg/day) in Guangxi, China. Lamivudine concentration was analysed using liquid chromatography-tandem mass spectrometry. Multivariable linear regression was used to evaluate the associations of hair lamivudine concentration with age, sex, ethnicity, height, weight, body mass index, duration of HIV diagnosis, duration of current regimen, dosing schedule, concomitant antiretroviral medications, frequency of hair washing, hair care products use, hair cosmetic treatment and self-reported adherence. Results Multivariable models revealed that frequency of hair washing (β=-0.221, P=0.001), dosing schedule (β=0.141, P=0.036) and self-reported adherence (β=0.160, P=0.002) were associated with hair lamivudine concentration. Conclusions We observed that, among those potential factors, hair lamivudine concentration was influenced by frequency of hair washing and dosing schedule. Therefore, frequency of hair washing and dosing schedule should be considered in future research using hair lamivudine concentration as a measure of lamivudine exposure and bio-marker of adherence.

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