Effects of highly active antiretroviral therapy and its adherence on herpes zoster incidence: a longitudinal cohort study
© Liu et al.; licensee BioMed Central Ltd. 2013
Received: 3 July 2013
Accepted: 13 December 2013
Published: 27 December 2013
Herpes zoster (HZ) is common among HIV-infected individuals, but the impacts of highly active antiretroviral therapy (HAART) and HAART adherence on HZ risk have not been well studied.
The effects of HAART and HAART adherence on HZ incidence were evaluated by comparing HIV-infected women on HAART (HAART use group) with the HIV-infected women remaining HAART naïve (HAART naïve group) in the Women’s Interagency HIV Study (WIHS). A 1:1 matching with propensity score for predicting HAART initiation was conducted to balance background covariates at index visit, including HIV disease stage. Kaplan-Meier method was used to compare the risk of HZ development between the matched pairs. Cox proportional hazard models were used to assess the effects of HAART and HAART adherence on HZ incidence.
Through propensity score matching, 389 pairs of participants were identified and they contributed 3,909 person years after matching. The background covariates were similar between the matched pairs at the index visit. The participants had a mean age around 39 years old, and about 61% of them were Black and 22% were Latina. No significant difference in HZ risk was observed between the HAART use group and the HAART naïve group during the first year of follow-up in any analyses. In the univariate analysis, the HAART use group had marginally lower HZ risk (Hazard Ratio (HR): 0.72; 95% Confidence Interval (CI): 0.48-1.1) over the entire follow-up period. However, women with a HAART adherence level of ≥95% had significantly lower HZ risk (HR: 0.54; 95% CI: 0.31, 0.94) compared to the HAART naïve women. The association remained significant after adjusting for quality of life score and acyclovir use, but it attenuated and was no longer statistically significant after adjusting for an intermediate variable, either CD4+ T cell counts or HIV viral load.
Among adult women, we observed a significant preventive effect of long-term HAART use on HZ incidence when a HAART adherence level of ≥95% was attained, and this effect was mediated through reduction of HIV viral load and improvement of CD4+ T cell counts.
KeywordsHAART Adherence Herpes zoster Incidence Propensity score
Highly active antiretroviral therapy
Human immunodeficiency virus
Acquired immune deficiency syndrome
Women’s Interagency HIV Study.
Highly active antiretroviral therapy (HAART) has been demonstrated to be very effective in decreasing the incidence of opportunistic infections, acquired immunodeficiency syndrome (AIDS) and death among HIV-infected patients. However, previous studies showed that the incidence of herpes zoster (HZ) is less likely than those of other opportunistic infections to be reduced by HAART as it still occurs at a relatively high rate in the HAART era [1–3].
According to studies conducted so far, the effect of HAART on HZ incidence may differ depending on how long HAART has been used. Martinez et al. first reported a high HZ incidence in patients with AIDS soon after initiation of therapy with protease inhibitors . Later, many other studies confirmed their observation as part of an immune reconstitution inflammatory syndrome [5–15]. It was proposed that this transient increase of HZ risk may be associated with immunodysregulation rather than profound immunesuppression. However, other studies showed no association of HZ incidence with recent HAART initiation [2, 16].
The long-term effect of HAART on HZ incidence has also been inconsistent across studies. One study reported that the HZ incidence did not change between the pre-HAART era and the HAART era, and that being on HAART was associated with a high risk of HZ . Furthermore, there are anecdotal reports of failure of antiretroviral therapy to control HZ complications, such as varicella zoster retinitis . However, many other studies showed a protective effect of HAART on the incidence of HZ [18–21] and its complications [16, 22]. Unfortunately, most of these studies did not take into account HAART adherence, which might partially explain the inconsistent results observed.
The objective of our study was to examine the effects of HAART and HAART adherence on HZ incidence by comparing HIV-infected women on HAART as a group (HAART use group) or stratified by HAART adherence level, with the matched HIV-infected HAART naive women (HAART naïve group) using longitudinal data from the Women’s Interagency HIV Study (WIHS).
The WIHS was initiated in 1993/1994 and expanded in 2001/2002 to examine the natural and treated history of HIV disease among women. The study design of the WIHS is detailed elsewhere [23, 24]. Briefly, 2,813 HIV-infected and 953 high risk HIV-negative women were recruited from six study sites (Chicago, Los Angeles, San Francisco, Washington D.C., Brooklyn and the Bronx) in the United States. Women visit a study site every 6 months. During each visit, structured interviews are performed to collect data on socio-demographical characteristics, sexual behaviors, substance use, health care utilization, antiretroviral therapy, treatments of comorbidities and different disease outcomes. In addition, physical and obstetric/gynecologic examinations are performed and biological specimens are collected. The local institutional review board at each site has approved the study protocol, and all women have given their written informed consents. For this study, our analyses were restricted to the HIV-infected participants only.
Propensity score matching
Unlike in randomized clinical trials, use of therapy in observational studies is not based upon random assignment. Thus, unbalanced distributions of background covariates may bias estimated treatment effects. To account for this, a propensity score matching method was used in our analysis. This method approaches more closely a randomized clinical trial by balancing background covariates via matching propensity score, which is the probability of HAART initiation in our study. The propensity score was calculated for each subject at each of her visits before starting HAART using a logistic regression model, with potential confounders for HAART initiation as predictors, including age, race, education, AIDS status, CD4+ and CD8+ T cell counts, HIV viral load and quality of life score. Each HAART user was matched at the last visit before her HAART initiation to a visit of a HAART naïve participant with similar propensity score (±0.1%). For any HAART naïve participant already selected as a control, the rest of her visits were removed from the matching pool to ensure 1:1 matching ratio. Participants who had HZ history on or before the matched visits were also removed from the analysis. The matched visits are the index visits after which all follow-up occurs in this analysis.
We used a longitudinal cohort design to assess the impact of HAART use and its adherence on HZ incidence. In the WIHS, questions about HZ occurrence were asked from visit 1 (October 1994) to visit 30 (April 2009). At WIHS study enrollment, participants were asked “Has a health care provider ever told you that you had shingles (herpes zoster)?” At follow up visits, participants were asked “Since your last visit, has a health care provider told you that you had shingles (herpes zoster)?” The study outcome was time to first HZ event from the index visit and participants were censored at the last study visit, death, or loss to follow up. As a participant usually had difficulty in recalling exact date of a HZ event, we used a visit date as the HZ event date when HZ was first reported at that visit, in our calculation of time to first HZ event. The exposure variables were HAART use group (yes/no) and HAART adherence level. The definition of HAART in the WIHS was guided by the DHHS/Kaiser Panel guidelines . The HAART use group was defined as the matched HAART using women, while the HAART naïve group was defined as the matched women who never initiated HAART during the follow-up. HAART adherence level was self-reported and at each visit participants were asked the extent to which they took antiretrovirals as prescribed over the past 6 months. Participants categorized their level of adherence into one of five categories: 100% of the time, 95-99% of the time, 75-94% of the time, <75% of the time, and have not taken any prescribed medications. In WIHS, a shortened version of MOS-HIV developed by Bozzette et al. was adopted to measure QOL and its summary score was used . The score ranged from 0–100, with higher score indicating better QOL. Time varying covariates were selected based on causal diagram analysis of factors that might affect HZ incidence; CD4+ T cell counts, CD8+ T cell counts and HIV viral load were potential intermediate variables, while quality of life score and acyclovir use since the last study visit were potential confounders.
Descriptive statistics such as mean and proportions were used to assess distributions of background covariates before and after propensity score matching. Kaplan-Meier method was used to describe HZ free curves during study follow up. Cox proportional hazards models were used to estimate associations of risk factors with time to first HZ event from the index visit, as reflected by hazard ratios (HR) and their corresponding 95% confidence intervals (CI). The underlying proportional hazard assumption in the Cox models was assessed for each covariate, and we found the assumption was satisfied, with the smallest P value being 0.2959. Values of time varying variables at the last study visit were excluded from analyses to avoid temporal ambiguity. For example, acyclovir use that was reported at the visit at which HZ was first reported was not counted as acyclovir use prior to HZ since the drug may have been prescribed to treat HZ. Univariate associations were first evaluated and only variables significant in univariate analysis were included in multivariate models. For short-term HAART effect, the study was assumed to end one year after the index visit. For long-term HAART effect, the participants were followed from the index visits to either their first HZ event or censored events such as death, loss to follow up or at the last visit (visit 30). To assess the effect of HAART use on HZ incidence, we assumed that a woman who initiated HAART will continue on HAART, which is similar to an intent-to-treatment analysis in a clinical trial. To assess the effect of HAART adherence on HZ incidence, time varying HAART adherence level was used as exposure variable, which is similar to the as-treated analysis in a clinical trial. To examine whether HAART exerts its effect via immune recovery, we purposely added into the multivariate models an intermediate variable between HAART use and HZ incidence, along with an exposure variable and potential confounders. All statistical analyses were carried out using SAS 9.2 (SAS Inc, Carey, NC).
Trends in HAART use and HZ incidence in the WIHS
Propensity score matching and participant characteristics balancing
Characteristics comparison before and after matching
Before matching at WIHSbenrollment
After matching at index visit
All HAARTcuse women
All HAART naïve women
Matched HAART use women
Matched HAART naïve women
(N = 2053)
(N = 760)
(N = 389)
(N = 389)
Age, mean (SD a )
Race, N (%)
Education, N (%)
Less than high school
Completed high school
Some college and above
AIDS, N (%)
CD4+ cell counts, mean (SD)
CD8+ cell counts, mean (SD)
log10 (Viral load), mean (SD)
Quality of life score, mean (SD)
Comparison of HZ free curves between the HAART use group and HAART naïve group
Short-term Effect of HAART on HZ incidence
During the first year of follow up, the HAART use group and the HAART naïve group reported 13 (incidence rate: 49 per 1000 person years; 95% CI (29, 82)) and 12 (incidence rate: 47 per 1000 person years, 95% CI (27, 81)) HZ events respectively. In the univariate analysis, compared to the HAART naïve group, neither the HAART use group (HR: 0.88; 95% CI: 0.39-1.99) nor women with a HAART adherence level of ≥95% (HR: 1.20; 95% CI: 0.42-3.11) had significantly different risk of HZ incidence.
Long-term Effects of HAART on HZ incidence
Long-term effect of haart a use on herpes zoster incidence
HAART use group:
HAART use adherence since last visit c
0 < adherence <75%
HAART users, but did not use HAART since last visit
No HAART users
Current CD4+ cell counts (per100 cell increase) d
Current CD8+ cell counts (per 100 cell increase) d
HIV viral load (per Log 10) d
Quality of life score d
Used acyclovir since last visit d :
Though the mechanisms by which HAART exerts its effect on HZ incidence are not yet clear, accumulating evidence suggests that HAART might have different effects on HZ incidence depending on how long HAART has been used. Many studies demonstrated that HZ occurs at a high level shortly after initiation of HAART [4–15], which might reflect dysregulated immune responses against pre-existing varicella zoster antigens at the beginning of immune restoration, rather than profound immunosuppression [4, 27]. However, like a few other observational studies [2, 16], we did not observe such a phenomenon in this study. Possible reasons for this discrepancy might include: (1). HAART users in our study had higher CD4+ T cell counts (372 cells/μl) before starting HAART; (2). In this short term analysis, our study might not have sufficient power to detect minor difference in HZ incidence due to relatively small sample size and rarity of HZ events; (3). Participants were followed every 6 months and the exact dates of HAART initiation could not be determined.
Since HAART became available in 1996, a steady decrease in HZ incidence over time has been observed among HIV-infected women in the WIHS coincident with their increasing access to HAART. Like many other studies [18–21, 28], ours showed a protective effect of long-term HAART use on HZ incidence. However, a statistically significant effect was achieved only when a HAART adherence level of ≥95% was attained. Thus, a further examination of the role of HAART adherence level might shed light on the lack of associations between HAART use and HZ incidence as reported by some earlier studies as no such information was reported . In addition, we found that the long-term effect of HAART on HZ incidence was mainly mediated through its effects in reducing HIV viral load and improving host immune status. Enhanced immune status and decreased shedding of varicella zoster virus antigen by HAART  might explain the protective effect of HAART on HZ incidence as observed in our study.
In this study, we found that acyclovir use was surprisingly associated with higher HZ incidence in univariate analysis. Possible explanation for this lies in that prior acyclovir use might be an indication of other herpes infections that were closely related to HZ incidence due to common cause - immunosuppression by HIV infection, rather than be used to prevent occurrence of HZ [30, 31]. In addition, lower overall QOL was also associated with higher incidence of herpes zoster, which is consistent with the role of psychological stress in the development of HZ .
Our study had some advantages over previous studies. First, we used a propensity score matching method to balance background covariates. In this way, the indication bias for HAART initiation was dramatically decreased. Second, previous studies focused on HAART use but did not take into account HAART adherence level. Our study showed the protective effect of HAART use was most clear when a ≥95% HAART adherence level was attained, suggesting that HAART adherence level should always be considered in future similar studies. However, some limitations of our study should also be mentioned. First, self-reported HZ was not documented by a health professional; however, a previous study has ascribed high validity to self-reports of HZ , suggesting that HZ misclassification in our study was likely to be very low. Second, we used self-reported HAART adherence as an exposure variable. However, this concern might be mitigated by the fact that the relationships between the WIHS participants and their interviewers have been built on trust and respect over many years, and previous WIHS research has shown that self-reported medication use is consistent with objective measures of HIV outcomes, such as CD4+ T-cell count, HIV viral load, and self-reported physical functioning . Lastly, our study only included women, and the results might not be generalizable to men.
We have shown that individuals highly adherent to HAART regimes had a significantly lower incidence of HZ than similar individuals who were not as adherent to HAART, underscoring the importance of high HAART adherence level in the clinical management of HIV-infected individuals, in addition to its role in decreasing HIV disease progression and HIV transmission.
Data in this manuscript were collected by the Women’s Interagency HIV Study (WIHS) Collaborative Study Group with centers (Principal Investigators) at New York City/Bronx Consortium (Kathryn Anastos); Brooklyn, NY (Howard Minkoff); Washington, DC, Metropolitan Consortium (Mary Young); The Connie Wofsy Study Consortium of Northern California (Ruth Greenblatt); Los Angeles County/Southern California Consortium (Alexandra Levine); Chicago Consortium (Mardge Cohen); Data Coordinating Center (Stephen Gange). The WIHS is funded by the National Institute of Allergy and Infectious Diseases (UO1-AI-35004, UO1-AI-31834, UO1-AI-34994, UO1-AI-34989, UO1-AI-34993, and UO1-AI-42590) and by the Eunice Kennedy Shriver National Institute of Child Health and Human Development (UO1-HD-32632). The study is co-funded by the National Cancer Institute, the National Institute on Drug Abuse, and the National Institute on Deafness and Other Communication Disorders. Funding is also provided by the National Center for Research Resources (UCSF-CTSI Grant Number UL1 RR024131). This manuscript was also partially supported by K24 AI078884 funded by NIH. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
- Vanhems P, Voisin L, Gayet-Ageron A, Trepo C, Cotte L, Peyramond D, Chidiac C, Touraine JL, Livrozet JM, Fabry J, Voirin N: The incidence of herpes zoster is less likely than other opportunistic infections to be reduced by highly active antiretroviral therapy. J Acquir Immune Defic Syndr. 2005, 38: 111-113. 10.1097/00126334-200501010-00020View ArticlePubMed
- Levin MJ, Anderson JP, Seage GR, Williams PL: Short-term and long-term effects of highly active antiretroviral therapy on the incidence of herpes zoster in HIV-infected children. J Acquir Immune Defic Syndr. 2009, 50: 182-191. 10.1097/QAI.0b013e31819550a4PubMed CentralView ArticlePubMed
- Glesby MJ, Hoover DR, Tan T, Shi Q, Gao W, French AL, Maurer T, Young M, Dehovitz J, Ru J, Anastos K: Herpes zoster in women with and at risk for HIV: data from the Women’s interagency HIV study. J Acquir Immune Defic Syndr. 2004, 37: 1604-1609. 10.1097/00126334-200412150-00013View ArticlePubMed
- Martinez E, Gatell J, Moran Y, Aznar E, Buira E, Guelar A, Mallolas J, Soriano E: High incidence of herpes zoster in patients with AIDS soon after therapy with protease inhibitors. Clin Infect Dis. 1998, 27: 1510-1513. 10.1086/515019View ArticlePubMed
- Rodriguez-Rosado R, Soriano V, Dona C, Gonzalez-Lahoz J: Opportunistic infections shortly after beginning highly active antiretroviral therapy. Antivir Ther. 1998, 3: 229-231.PubMed
- Michelet C, Arvieux C, Francois C, Besnier JM, Rogez JP, Breux JP, Souala F, Allavena C, Raffi F, Garre M, Cartier F: Opportunistic infections occurring during highly active antiretroviral treatment. Aids. 1998, 12: 1815-1822. 10.1097/00002030-199814000-00013View ArticlePubMed
- Espinosa E, Pena-Jimenez A, Ormsby CE, Vega-Barrientos R, Reyes-Teran G: Later onset of herpes zoster-associated immune reconstitution inflammatory syndrome. HIV Med. 2009, 10: 454-457. 10.1111/j.1468-1293.2009.00700.xView ArticlePubMed
- Sharma A, Makrandi S, Modi M, Sharma A, Marfatia Y: Immune reconstitution inflammatory syndrome. Indian J Dermatol Venereol Leprol. 2008, 74: 619-621. 10.4103/0378-6323.45105View ArticlePubMed
- Murdoch DM, Venter WD, Feldman C, Van Rie A: Incidence and risk factors for the immune reconstitution inflammatory syndrome in HIV patients in South Africa: a prospective study. Aids. 2008, 22: 601-610. 10.1097/QAD.0b013e3282f4a607View ArticlePubMed
- Huruy K, Mulu A, Mengistu G, Shewa-Amare A, Akalu A, Kassu A, Andargie G, Elias D, Torben W: Immune reconstitution inflammatory syndrome among HIV/AIDS patients during highly active antiretroviral therapy in Addis Ababa, Ethiopia. Jpn J Infect Dis. 2008, 61: 205-209.PubMed
- Patel AK, Patel KK, Shah SD, Desai J: Immune reconstitution syndrome presenting with cerebral varicella zoster vasculitis in HIV-1-infected patient: a case report. J Int Assoc Physicians AIDS Care (Chic Ill). 2006, 5: 157-160. 10.1177/1545109706294853.View Article
- Lehloenya R, Meintjes G: Dermatologic manifestations of the immune reconstitution inflammatory syndrome. Dermatol Clin. 2006, 24: 549-570, vii. 10.1016/j.det.2006.06.007View ArticlePubMed
- Ratnam I, Chiu C, Kandala NB, Easterbrook PJ: Incidence and risk factors for immune reconstitution inflammatory syndrome in an ethnically diverse HIV type 1-infected cohort. Clin Infect Dis. 2006, 42: 418-427. 10.1086/499356View ArticlePubMed
- Tangsinmankong N, Kamchaisatian W, Lujan-Zilbermann J, Brown CL, Sleasman JW, Emmanuel PJ: Varicella zoster as a manifestation of immune restoration disease in HIV-infected children. J Allergy Clin Immunol. 2004, 113: 742-746. 10.1016/j.jaci.2004.01.768View ArticlePubMed
- Domingo P, Torres OH, Ris J, Vazquez G: Herpes zoster as an immune reconstitution disease after initiation of combination antiretroviral therapy in patients with human immunodeficiency virus type-1 infection. Am J Med. 2001, 110: 605-609. 10.1016/S0002-9343(01)00703-3View ArticlePubMed
- Gebo KA, Kalyani R, Moore RD, Polydefkis MJ: The incidence of, risk factors for, and sequelae of herpes zoster among HIV patients in the highly active antiretroviral therapy era. J Acquir Immune Defic Syndr. 2005, 40: 169-174. 10.1097/01.qai.0000178408.62675.b0View ArticlePubMed
- Ramsay A, Young S, Lightman S: Failure of antiretroviral therapy to control Varicella zoster retinitis. Clin Experiment Ophthalmol. 2001, 29: 433-434. 10.1046/j.1442-9071.2001.00463.xView ArticlePubMed
- Maurer T, Rodrigues LK, Ameli N, Phanuphak N, Gange SJ, DeHovitz J, French AL, Glesby M, Jordan C, Khalsa A, Hessol NA: The effect of highly active antiretroviral therapy on dermatologic disease in a longitudinal study of HIV type 1-infected women. Clin Infect Dis. 2004, 38: 579-584. 10.1086/381264View ArticlePubMed
- Hung CC, Hsiao CF, Wang JL, Chen MY, Hsieh SM, Sheng WH, Chang SC: Herpes zoster in HIV-1-infected patients in the era of highly active antiretroviral therapy: a prospective observational study. Int J STD AIDS. 2005, 16: 673-676. 10.1258/095646205774357271View ArticlePubMed
- Gona P, Van Dyke RB, Williams PL, Dankner WM, Chernoff MC, Nachman SA, Seage GR: Incidence of opportunistic and other infections in HIV-infected children in the HAART era. Jama. 2006, 296: 292-300. 10.1001/jama.296.3.292View ArticlePubMed
- Wood SM, Shah SS, Steenhoff AP, Rutstein RM: Primary varicella and herpes zoster among HIV-infected children from 1989 to 2006. Pediatrics. 2008, 121: e150-e156. 10.1542/peds.2007-0564View ArticlePubMed
- Martinez PA, Diaz R, Gonzalez D, Oropesa L, Gonzalez R, Perez L, Viera J, Kouri V: The effect of highly active antiretroviral therapy on outcome of central nervous system herpesviruses infection in Cuban human immunodeficiency virus-infected individuals. J Neurovirol. 2007, 13: 446-451. 10.1080/13550280701510088View ArticlePubMed
- Barkan SE, Melnick SL, Preston-Martin S, Weber K, Kalish LA, Miotti P, Young M, Greenblatt R, Sacks H, Feldman J: The women’s interagency HIV study. WIHS collaborative study group. Epidemiology. 1998, 9: 117-125. 10.1097/00001648-199803000-00004View ArticlePubMed
- Bacon MC, von Wyl V, Alden C, Sharp G, Robison E, Hessol N, Gange S, Barranday Y, Holman S, Weber K, Young MA: The Women’s interagency HIV study: an observational cohort brings clinical sciences to the bench. Clin Diagn Lab Immunol. 2005, 12: 1013-1019.PubMed CentralPubMed
- DHHS : DHHS/Henry J. Kaiser family foundation panel on clinical practices for the treatment of HIV infection. Guidelines for the use of antiretroviral agents in HIV-infected adults and adolescents. 2009, Available at http://aidsinfo.nih.gov. In, Available at . In
- Bozzette SA, Hays RD, Berry SH, Kanouse DE, Wu AW: Derivation and properties of a brief health status assessment instrument for use in HIV disease. J Acquir Immune Defic Syndr Hum Retrovirol. 1995, 8: 253-265. 10.1097/00042560-199503010-00006View ArticlePubMed
- Stone SF, Price P, French MA: Immune restoration disease: a consequence of dysregulated immune responses after HAART. Curr HIV Res. 2004, 2: 235-242. 10.2174/1570162043351345View ArticlePubMed
- Takeoka H, Chong Y, Murata M, Furusyo N, Nabeshima S, Yamaji K, Kishihara Y, Hayashi J: [Varicella-zoster virus symptoms and polyneuropathy in a patient with human immunodeficiency virus infection not improved until highly active anti-retroviral therapy added to acyclovir therapy]. Kansenshogaku Zasshi. 2006, 80: 46-50.View ArticlePubMed
- Wang CC, Yepes LC, Danaher RJ, Berger JR, Mootoor Y, Kryscio RJ, Miller CS: Low prevalence of varicella zoster virus and herpes simplex virus type 2 in saliva from human immunodeficiency virus-infected persons in the era of highly active antiretroviral therapy. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2010, 109: 232-237. 10.1016/j.tripleo.2009.08.037PubMed CentralView ArticlePubMed
- Carmichael JK: Treatment of herpes zoster and postherpetic neuralgia. Am Fam Physician. 1991, 44: 203-210.PubMed
- Whitley RJ: The past as prelude to the future: history, status, and future of antiviral drugs. Ann Pharmacother. 1996, 30: 967-971.PubMed
- Livengood JM: The role of stress in the development of herpes zoster and postherpetic neuralgia. Curr Rev Pain. 2000, 4: 7-11. 10.1007/s11916-000-0003-9View ArticlePubMed
- Schmader K, George LK, Newton R, Hamilton JD: The accuracy of self-report of herpes zoster. J Clin Epidemiol. 1994, 47: 1271-1276. 10.1016/0895-4356(94)90132-5View ArticlePubMed
- Wilson TE, Barron Y, Cohen M, Richardson J, Greenblatt R, Sacks HS, Young M: Adherence to antiretroviral therapy and its association with sexual behavior in a national sample of women with human immunodeficiency virus. Clin Infect Dis. 2002, 34: 529-534. 10.1086/338397View ArticlePubMed
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.