Abstract
Bone mineral density (BMD) declines due to tenofovir-containing pre-exposure prophylaxis (PrEP) have varied among PrEP demonstration projects, potentially related to variable adherence. Characterization of BMD changes in highly adherent individuals, estimated via tenofovir-diphosphate (TFV-DP) levels in dried blood spots (DBS), can assist clinicians when counseling patients. Cisgender men who have sex with men and transwomen in the optional dual-energy X-ray absorptiometry (DXA) substudy of a large, international, open-label PrEP demonstration project, the iPrEx-open-label extension (OLE) study underwent DXA scans and DBS collection every 24 weeks, with average weekly dosing adherence patterns (2, 4, and 7 doses/week) estimated from validated TFV-DP cut-offs. The mean percent BMD change was estimated in strata of average weekly adherence by using a linear mixed-effects model to calculate the BMD decline in highly adherent individuals on PrEP for the first time. DXA/DBS data were available for 254 individuals over a median of 24 weeks in iPrEx-OLE from June 2011 to December 2013. The percent decline in spine BMD was monotonically associated with strata of increasing average weekly adherence (p < .001 trend); the p value for trends using hip BMD measurements was .07. Individuals with estimated daily adherence experienced a 1.2% decrease in spine BMD and a 0.5% drop in hip BMD. In highly adherent PrEP users, we found a lower-than-expected drop in BMD when compared with previous studies. This drop is likely not clinically significant for most PrEP users. However, for those at the highest risk of fracture who plan prolonged PrEP use, alternate PrEP strategies could be considered.
Keywords: PrEP, adherence, men who have sex with men, transgender people, bone mineral density, cohort studies
Introduction
Among HIV-infected antiretroviral-naive individuals initiating tenofovir disoproxil fumarate (TDF)-based regimens, declines in bone mineral density (BMD) of up to 5% have been observed in adults, and up to 27% have been seen in pediatric populations.1–4 The relationship between TDF exposure and fracture risk, however, is less clear.5–10 Trials of TDF-based pre-exposure prophylaxis (PrEP) have documented smaller decreases in BMD among individuals taking PrEP (up to 2%), and the declines appear to be reversible with discontinuation of TDF.11–15 Moreover, no PrEP trials have demonstrated an increased fracture risk with the use of TDF/emtricitabine (FTC).12–18 Guidelines have recommended against TDF-containing antiretroviral therapy regimens for those with HIV at risk of bone disease based on potential risk of fracture, although no such recommendation has been made for PrEP based on the current evidence.19
TDF-based PrEP studies may be underpowered to detect fracture outcomes given the generally younger, healthier populations enrolled in PrEP trials, leading to the use of BMD as a surrogate.15,20 Peak bone mass is established in young adulthood and is a strong predictor of fracture risk later in life.17,21 TDF-based PrEP has been recently approved for adolescents >35 kg.22 Adolescents and young adults taking PrEP have been observed to have declines, rather than the expected gains in bone mass over time seen in those not on PrEP.11 Given these concerns, potential bone toxicity has, in part, motivated the testing of alternate PrEP agents and alternative dosing strategies for TDF-based PrEP.16
Intermittent PrEP is effective,23 and it is now recommended by the International AIDS Society-United States guidelines as an alternative for cisgender men who have sex with men (MSM) with infrequent sexual exposures.19 The motivation for intermittent PrEP has partially been driven by an interest in reducing potential toxicities associated with TDF-containing PrEP regimens.24,25 However, no study to date has proven that intermittent PrEP decreases the risk of bone or renal-related toxicity.23 As PrEP uptake expands to include younger and older individuals, and those with more comorbidities than participants enrolled in PrEP clinical trials,17,26 knowledge of the relationship between PrEP dosing frequency and PrEP-related toxicity is needed. Such information could guide counseling strategies and decision making around daily versus intermittent PrEP, especially for those at higher risk of PrEP-related toxicity who plan on remaining on PrEP for prolonged periods.
Long-term measures of tenofovir (TFV) exposure, such as TFV-diphosphate (TFV-DP) in dried blood spots (DBS) or TFV levels in hair, permit estimation of patterns of cumulative averaged weekly pill-taking over the previous 4 weeks.27–31 Long-term metrics of PrEP exposure are well suited for evaluating the relationship between cumulative PrEP adherence and toxicities.29 Protective TFV-DP levels in DBS were associated with greater declines in bone toxicity among adolescents,32 as were high TFV-DP levels in peripheral blood mononuclear cells in the placebo-controlled iPrEx trial.15 These studies dichotomized TFV exposure at a single threshold representing “good” adherence.15,32 It is unknown whether BMD decline in highly adherent individuals, such as those who take their medications daily, might differ from previously observed BMD declines among populations with heterogeneous levels of adherence.13,15,17 Further, although several studies have shown a dose–dependent relationship between TFV-DP levels in DBS and TFV levels in hair with declines in renal function,30,31 it is unknown whether PrEP-related BMD decline occurs in a dose–dependent fashion.
Materials and Methods
Study design
We analyzed data from an opt-in substudy nested within iPrEx-open-label extension (OLE), an open-label PrEP demonstration project conducted among MSM and transgender women. The bone and metabolic substudy enrolled participants from 7 out of 11 iPrEx-OLE sites in five cities (Cape Town, South Africa; Chiang Mai, Thailand; Lima, Peru; Rio de Janeiro, Brazil; San Francisco, California; and Chicago, Illinois). The study and procedures of both iPrEx-OLE and the bone and metabolic substudy have been previously published.16,27 The study was conducted in accordance with the ethical standards of the Declaration of Helsinki, the protocol was approved by the institutional review boards at each site, and all participants provided informed consent.
Participants in the bone and metabolic substudy underwent dual-energy X-ray absorptiometry (DXA) to determine BMD at the hip and lumbar spine (L1–L4) at enrollment and every 24 weeks until the end of study participation. The scans were performed with the same protocol at each site. Enrollment in iPrEx-OLE occurred between June 2011 and June 2012, and the last visit for this substudy was in December 2013.
Alcohol use, stimulant use in the past 30 days (any vs. none), and current smoking were assessed at baseline. Excessive alcohol use was considered to be >4 drinks a day based on a threshold of 3 U/day for increased fracture risk,33 and the categories were defined in the original questionnaire. Body mass index (BMI) was categorized as underweight (<18.5 kg/m2), normal (18.5–25 kg/m2), overweight (25–30 kg/m2), and obese (>30 kg/m2).
Drug levels
Whole blood was collected for DBS preparation at each visit when DXA scans were performed. We used validated dosing cut-offs for DBS TFV-DP levels to categorize participants into five average weekly adherence categories: daily drug-taking (>1,250 fmol/punch), 4–6 × weekly (700–1,250 fmol/punch), 2–3 × weekly (350–700 fmol/punch), <2 × weekly [below lower limit of quantification (BLQ)-350 fmol/punch], and no drug detected (BLQ).27,29
Statistical analysis
An adjusted linear mixed-effects model, using full information maximum likelihood estimation to account for missing data, was used to evaluate predictors of percent (%) decline in BMD at both the spine and hip, including demographics, substance use (excessive alcohol; any stimulant use or smoking), study site, BMI, and average estimated dosing categories. The percent change in BMD over time in each dosing category was estimated by using a linear mixed-effects model.
Results
Characteristics of substudy participants
Of the 1,225 individuals who elected to start PrEP in iPrEx-OLE, 290 enrolled in the DXA substudy. The median time between study end of the original placebo-controlled trial, iPrEx, and OLE enrollment was 79 weeks [interquartile range (IQR): 60 to 89]. During that gap, TDF-based PrEP was not approved in any study country. DBS data and at least one follow-up DXA scan were available for 254 individuals (87%) over a median of 24 weeks. The median age of participants in the DXA substudy was 31 years, and 9% were transgender women; 40% were Latino, 18% were Asian, 15% were Black, and 27% were White (Table 1). The median z-score was −0.7 at the spine (IQR: −1.4 to 0.3) and 0.2 at the hip (IQR: −0.7 to 0.4). At baseline, 9% had z-scores less than −2.0 at either spine (median: −2.5, IQR: −2.6 to −2.2) or hip (median: −2.2, IQR: −2.3 to −2.1).34
Table 1.
Sample Characteristics and Predictors of Spine Bone Mineral Density % Change (N = 254)
| Overall, % | Adjusted ß spine BMD % change (95% CI) | p | |
|---|---|---|---|
| Age at study entry, median (IQR) | 31 (23–44) | 0.02 (−0.03 to 0.06) | .47 |
| Race | |||
| White | 27 | Ref. | — |
| Asian | 18 | −0.56 (−3.59 to 2.47) | .72 |
| Black | 15 | 0.70 (−1.11 to 2.50) | .45 |
| Latino | 40 | −0.35 (−1.91 to 1.21) | .66 |
| Transgender woman | 9 | −0.15 (−1.47 to 1.16) | .82 |
| Any stimulant use | 5 | −0.45 (−2.17 to 1.27) | .61 |
| >4 alcoholic drinks a day | 20 | −0.40 (−1.33 to 0.52) | .39 |
| Current smoking | 35 | 0.33 (−0.48 to 1.14) | .42 |
| BMI (kg/m2) | |||
| Low (<18.5) | 3 | 1.77 (−0.46 to 3.99) | .12 |
| Normal (18.5–25) | 43 | Ref. | — |
| Overweight (25–30) | 43 | −0.03 (−0.79 to 0.74) | .95 |
| Obese (>30) | 11 | −1.24 (−2.48 to 0.10) | .05 |
| Estimated average PrEP pill-taking by DBS | |||
| None | 16 | Ref. | — |
| <2 × weekly | 26 | −1.06 (−1.70 to −0.42) | .001 |
| 2–3 × weekly | 13 | −1.38 (−2.32 to −0.44) | .004 |
| 4–6 × weekly | 21 | −1.14 (−1.97 to −0.31) | .007 |
| Daily | 22 | −1.93 (−2.82 to −1.04) | <.001 |
Bold text: statistically significant at 95% CI level. Individuals in an optional substudy of the iPrEx-open-label extension underwent dual-energy X-ray absorptiometry scans and DBS collection every 24 weeks, with average weekly dosing adherence patterns (2, 4, and 7 doses/week) estimated from validated tenofovir-diphosphate cut-offs. The impact of covariates on BMD change was estimated by using adjusted mixed-effects linear regression. The model was also adjusted for site.
BMD, bone mineral density; BMI, body mass index; CI, confidence interval; DBS, dried blood spot; IQR, interquartile range; PrEP, pre-exposure prophylaxis.
Predictors of % BMD decline
After starting PrEP, 3% developed low z-scores as defined by a z-score falling below −2.0, not including the 9% who had z-scores less than −2.0 at baseline. No fractures occurred among substudy participants during the study. All who newly developed low z-scores had quantifiable TFV-DP levels in DBS, and most (57%) had estimated levels of drug-taking consistent with ≥4 doses a week (≥700 fmol/punch).27 Overall, BMD decline did not occur after 24 weeks of DXA assessment [−0.33%, 95% confidence interval (CI): −0.67 to 0.00; p = .05 at week 24; −0.05%, 95% CI: −0.39 to 0.30; p = .79 at week 48; −0.05%, 95% CI: −0.40 to 0.30; p = .76 at week 72]. There was a dose–dependent % decline in spine BMD by strata of increasing estimated average weekly adherence over the course of the study (p < .001 trend) (Table 1). There was also no difference in the % BMD decline in the subset who had low baseline z-scores versus those who had normal baseline z-scores (p = .75). For the hip BMD outcome, a statistically significant dose–dependent % decline occurred at week 24 (p = .02 trend), although the p value for trend using hip BMD measurements was .07 by the study end.
In adjusted analysis, only increasing strata of estimated average weekly PrEP adherence (p < .001 trend) were associated with spine BMD decline by the study end (Table 1). The association did not differ when stratifying transgender women versus MSM (p = .57). For the hip BMD outcome, only high adherence (4–6 doses weekly) versus no detectable drug (ß −0.63, 95% CI: −1.25 to −0.01; p = .05) was associated with a statistically significant BMD decline.
Mean % BMD decline by average PrEP adherence
The average mean decline in spine BMD was −1.15% (95% CI: −1.65 to −0.64) among those with estimated daily adherence by TFV-DP DBS level versus −0.53% (95% CI: −1.06 to 0.00) for 4–6 doses per week versus −0.46% (95% CI: −1.31 to 0.39) for 2–3 doses per week versus −0.26% (95% CI: −0.81 to 0.29) for individuals taking <2 doses per week (Fig. 1). There was a 0.72% increase (95% CI: 0.20 to 1.25) in spine BMD among those who were not taking PrEP (TFV-DP BLQ). At the hip, the mean decline in BMD was −0.50% (95% CI: −0.94 to 0.07) for those with estimated daily adherence versus −0.75% (95% CI: −1.16 to −0.32) for 4–6 doses per week versus −0.70% (95% CI: −1.26 to −0.14) for 2–3 doses per week versus −0.43% (95% CI: −0.83 to −0.02) for <2 doses per week, compared with −0.03% (95% CI: −0.45 to 0.39) among those who were not taking PrEP.
FIG. 1.
The average mean change in bone mineral density at the spine over the study period (median 24 weeks) is plotted within strata of estimated average weekly pre-exposure prophylaxis dosing frequency based on validated dosing cut-offs from TFV-DP levels in DBS. BMD, bone mineral density; DBS, dried blood spot; OLE, open-label extension; SE, standard error; TFV-DP, tenofovir-diphosphate.
Discussion
In the iPrEx-OLE demonstration project, we found a monotonic decrease in BMD with higher weekly PrEP adherence as estimated by an objective long-term metric of TFV exposure. However, we observed only approximately a 1% drop in spine BMD and a half percent decrease in hip BMD among PrEP users with very high adherence over a median of 24 weeks. Even when using a DBS drug-level cut-off consistent with estimated daily/very high adherence, the decline was reassuringly similar or lower than that observed in most prior PrEP studies.11,13–15 By employing a long-term metric of exposure stratified into multiple dosing categories, we were also able to define the average and dose–dependent decline in spine BMD with daily (−1.15%) versus less frequent estimated adherence patterns (less than −0.53% for <4 doses weekly).
In this relatively young, healthy study population, almost a tenth of the sample had low z-scores at baseline and 3% developed a low z-score over the course of <6 months on PrEP. This higher-than-expected proportion of MSM and transgender women with low z-scores at baseline is similar to what has been observed in other studies of healthy, younger participants at risk for HIV, with the mechanism and clinical implications currently unclear, although one study found an association with stimulant use.14,15 The association between TDF-containing PrEP and BMD decline and/or fracture should be examined in studies with longer follow-up time and/or in populations at higher risk of fracture, such as older adults initiating PrEP, to better define PrEP's risks on bone health among diverse populations at risk of HIV.26
We found a monotonic dose–response relationship between TDF/FTC pill-taking and toxicity. For those planning prolonged daily PrEP use who are at high risk of fracture, alternate PrEP strategies such as TFV alafenamide-based PrEP could be considered once available.35 Dose-limiting strategies such as intermittent TDF/FTC-based PrEP could also potentially reduce risks of bone toxicity if that strategy were preferred by the PrEP user, although additional research is needed comparing toxicity in daily versus intermittent use. However, given the modest declines seen with even very high adherence in our study, these differences are likely clinically significant only for those at the highest risk of bone toxicity. Obtaining baseline DXA scans in all PrEP initiators is likely not cost-effective, and our data suggest that a low z-score at baseline does not modify the effect of TDF on subsequent BMD decline. Instead, individuals at high risk of fracture based on other risk factors and comorbidities, such as stimulant use, glucocorticoid use, etc.,14,34 should be monitored closely. Alternative PrEP agents, once available, could also be considered in those at risk of bone or renal toxicity. Future studies would preferably include objective metrics of long-term exposure to TDF to assess the relationship between cumulative drug exposure and BMD decline, including in populations using intermittent PrEP. Inclusion of long-term metrics of drug exposure with validated dosing cut-offs can, to a degree, overcome the impact of variable adherence when interpreting the risks and benefits of medications in PrEP trials and roll-out projects.27
Limitations of the DXA substudy include the opt-in nature of the cohort. For instance, individuals electing to receive DXA scans could exhibit greater health-seeking behaviors on average, which could lead to underestimation of the intervention's risks, and/or impact generalizability. It is unknown whether prior receipt of TDF-based PrEP could have impacted BMD declines (median 79 weeks off PrEP); however, a prior analysis suggested that BMD in TDF/FTC PrEP users returned to baseline on average 48 weeks after discontinuation of the medication.16 Given that transgender women were <10% of the sample, estimates are less precise for transgender women. Finally, given the short follow-up time and the younger, healthy MSM and transgender women population studied in iPrEx-OLE, this study was not designed to explore the risk of fracture or BMD decline in the long term.
TDF/FTC PrEP users with daily/very high adherence experienced only ∼a 1% average decline in BMD in the spine and a 0.5% decrease in the hip, lower than expected based on prior studies. Given the monotonic relationship between PrEP pill-taking behavior and TDF-related bone toxicity, individuals at the highest risk for fracture could consider alternate PrEP strategies if they plan to use PrEP for prolonged periods.
Acknowledgments
This work was supported by the National Institute of Allergy and Infectious Diseases at the National Institute of Health (grant nos. 5T32AI060530 to M.A.S., R03AI122908 and R03AI120819 to D.G.; R01AI143340 and R01AI098472 to M.G.; U01AI106499 and U01AI084735 to P.L.A.; and R01AI118575 to R.M.G. and P.D.).
Author Disclosure Statement
D.G. and P.L.A. have received grants from Gilead Sciences. P.L.A., S.P.B., and R.M.G. have led studies in which Gilead Sciences donated a study drug. The other authors have no conflicts of interest to declare.
References
- 1. Grigsby IF, Pham L, Mansky LM, Gopalakrishnan R, Mansky KC: Tenofovir-associated bone density loss. Ther Clin Risk Manag 2010;6:41–47 [PMC free article] [PubMed] [Google Scholar]
- 2. Casado JL, Santiuste C, Vazquez M, et al. : Bone mineral density decline according to renal tubular dysfunction and phosphaturia in tenofovir-exposed HIV-infected patients. AIDS 2016;30:1423–1431 [DOI] [PubMed] [Google Scholar]
- 3. Kalayjian RC, Albert JM, Cremers S, et al. : Women have enhanced bone loss associated with phosphaturia and CD4 cell restoration during initial antiretroviral therapy. AIDS 2018;32:2517–2524 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Taiwo BO, Chan ES, Fichtenbaum CJ, et al. : Less bone loss with maraviroc- versus tenofovir-containing antiretroviral therapy in the AIDS Clinical Trials group A5303 study. Clin Infect Dis 2015;61:1179–1188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Horizon AA, Joseph RJ, Liao Q, Ross ST, Pakes GE: Characteristics of foot fractures in HIV-infected patients previously treated with tenofovir versus non-tenofovir-containing highly active antiretroviral therapy. HIV AIDS (Auckl) 2011;3:53–59 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Mundy LM, Youk AO, McComsey GA, Bowlin SJ: Overall benefit of antiretroviral treatment on the risk of fracture in HIV: Nested case-control analysis in a health-insured population. AIDS 2012;26:1073–1082 [DOI] [PubMed] [Google Scholar]
- 7. Yong MK, Elliott JH, Woolley IJ, Hoy JF: Low CD4 count is associated with an increased risk of fragility fracture in HIV-infected patients. J Acquir Immune Defic Syndr 2011;57:205–210 [DOI] [PubMed] [Google Scholar]
- 8. Bedimo R, Maalouf NM, Zhang S, Drechsler H, Tebas P: Osteoporotic fracture risk associated with cumulative exposure to tenofovir and other antiretroviral agents. AIDS 2012;26:825–831 [DOI] [PubMed] [Google Scholar]
- 9. Mary-Krause M, Viard JP, Ename-Mkoumazok B, et al. : Prevalence of low bone mineral density in men and women infected with human immunodeficiency virus 1 and a proposal for screening strategy. J Clin Densitom 2012;15:422–433 [DOI] [PubMed] [Google Scholar]
- 10. Costagliola D, Potard V, Lang S, et al. : Impact of antiretroviral drugs on fracture risk in HIV-infected individuals: A case-control study nested within the French Hospital Database on HIV (FHDH-ANRS CO4). J Acquir Immune Defic Syndr 2018;80:214–223 [DOI] [PubMed] [Google Scholar]
- 11. Havens PL, Stephensen CB, Van Loan MD, et al. : Decline in bone mass with tenofovir disoproxil fumarate/emtricitabine is associated with hormonal changes in the absence of renal impairment when used by HIV-uninfected adolescent boys and young men for HIV preexposure prophylaxis. Clin Infect Dis 2017;64:317–325 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Hosek SG, Rudy B, Landovitz R, et al. : An HIV preexposure prophylaxis demonstration project and safety study for young MSM. J Acquir Immune Defic Syndr 2017;74:21–29 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Mirembe BG, Kelly CW, Mgodi N, et al. : Bone mineral density changes among young, healthy african women receiving oral tenofovir for HIV preexposure prophylaxis. J Acquir Immune Defic Syndr 2016;71:287–294 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Liu AY, Vittinghoff E, Sellmeyer DE, et al. : Bone mineral density in HIV-negative men participating in a tenofovir pre-exposure prophylaxis randomized clinical trial in San Francisco. PLoS One 2011;6:e23688. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Mulligan K, Glidden DV, Anderson PL, et al. : Effects of emtricitabine/tenofovir on bone mineral density in HIV-negative persons in a randomized, double-blind, placebo-controlled trial. Clin Infect Dis 2015;61:572–580 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Glidden DV, Mulligan K, McMahan V, et al. : Brief report: recovery of bone mineral density after discontinuation of tenofovir-based HIV pre-exposure prophylaxis. J Acquir Immune Defic Syndr 2017;76:177–182 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Hosek SG, Landovitz RJ, Kapogiannis B, et al. : Safety and feasibility of antiretroviral preexposure prophylaxis for adolescent men who have sex with men aged 15 to 17 years in the United States. JAMA Pediatr 2017;171:1063–1071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Thigpen MC, Kebaabetswe PM, Paxton LA, et al. : Antiretroviral preexposure prophylaxis for heterosexual HIV transmission in Botswana. N Engl J Med 2012;367:423–434 [DOI] [PubMed] [Google Scholar]
- 19. Saag MS, Benson CA, Gandhi RT, et al. : Antiretroviral drugs for treatment and prevention of HIV infection in adults: 2018 recommendations of the International Antiviral Society-USA panel. JAMA 2018;320:379–396 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Yin MT, Brown TT: HIV and bone complications: Understudied populations and new management strategies. Curr HIV/AIDS Rep 2016;13:349–358 [DOI] [PubMed] [Google Scholar]
- 21. Gordon CM, Zemel BS, Wren TA, et al. : The determinants of peak bone mass. J Pediatr 2017;180:261–269 [DOI] [PubMed] [Google Scholar]
- 22. Society for Adolescent H, Medicine. HIV Pre-exposure prophylaxis medication for adolescents and young adults: A position paper of the society for adolescent health and medicine. J Adolesc Health 2018;63:513–516 [DOI] [PubMed] [Google Scholar]
- 23. Molina JM, Capitant C, Spire B, et al. : On-demand preexposure prophylaxis in men at high risk for HIV-1 infection. N Engl J Med 2015;373:2237–2246 [DOI] [PubMed] [Google Scholar]
- 24. Mutua G, Sanders E, Mugo P, et al. : Safety and adherence to intermittent pre-exposure prophylaxis (PrEP) for HIV-1 in African men who have sex with men and female sex workers. PLoS One 2012;7:e33103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Kibengo FM, Ruzagira E, Katende D, et al. : Safety, adherence and acceptability of intermittent tenofovir/emtricitabine as HIV pre-exposure prophylaxis (PrEP) among HIV-uninfected Ugandan volunteers living in HIV-serodiscordant relationships: A randomized, clinical trial. PLoS One 2013;8:e74314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Franconi I, Guaraldi G: Pre-exposure prophylaxis for HIV infection in the older patient: What can be recommended? Drugs Aging 2018;35:485–491 [DOI] [PubMed] [Google Scholar]
- 27. Grant RM, Anderson PL, McMahan V, et al. : Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: A cohort study. Lancet Infect Dis 2014;14:820–829 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Koss CA, Hosek SG, Bacchetti P, et al. : Comparison of measures of adherence to human immunodeficiency virus preexposure prophylaxis among adolescent and young men who have sex with men in the United States. Clin Infect Dis 2018;66:213–219 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Anderson PL, Liu AY, Castillo-Mancilla JR, et al. : Intracellular tenofovir-diphosphate and emtricitabine-triphosphate in dried blood spots following directly observed therapy. Antimicrob Agents Chemother 2018;62:e01710-17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Gandhi M, Glidden DV, Mayer K, et al. : Association of age, baseline kidney function, and medication exposure with declines in creatinine clearance on pre-exposure prophylaxis: An observational cohort study. Lancet HIV 2016;3:e521–e528 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Gandhi M, Murnane PM, Bacchetti P, et al. : Hair levels of preexposure prophylaxis drugs measure adherence and are associated with renal decline among men/transwomen. AIDS 2017;31:2245–2251 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Havens PL, Tamhane A, Stephensen C, et al. : Association of vitamin D insufficiency and protective tenofovir diphosphate concentrations with bone toxicity in adolescent boys and young men using tenofovir disoproxil fumarate/emtricitabine for HIV pre-exposure prophylaxis. AIDS Res Hum Retroviruses 2018;35:123–128 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Kanis JA, Johansson H, Johnell O, et al. : Alcohol intake as a risk factor for fracture. Osteoporos Int 2005;16:737–742 [DOI] [PubMed] [Google Scholar]
- 34. Qaseem A, Forciea MA, McLean RM, Denberg TD, Clinical Guidelines Committee of the American College of P: Treatment of low bone density or osteoporosis to prevent fractures in men and women: A clinical practice guideline update from the American College of Physicians. Ann Intern Med2017;166:818–839 [DOI] [PubMed] [Google Scholar]
- 35. Hare CB, Coll J, Ruane P, et al.: The phase 3 discover study: Daily F/TAF or F/TDF for HIV preexposure prophylaxis. Conference on Retroviruses and Opportunistic Infections, March 3–7, Seatle, 2019 [Google Scholar]

