Association of Alcohol Consumption and HIV Surrogate Markers in Participants of the Swiss HIV Cohort Study : JAIDS Journal of Acquired Immune Deficiency Syndromes

Secondary Logo

Journal Logo

Clinical Science

Association of Alcohol Consumption and HIV Surrogate Markers in Participants of the Swiss HIV Cohort Study

Conen, Anna MD*; Wang, Qing PhD; Glass, Tracy R. PhD; Fux, Christoph A. MD*; Thurnheer, Maria C. MD; Orasch, Christina MD§; Calmy, Alexandra MD, PhD; Bernasconi, Enos MD; Vernazza, Pietro MD#; Weber, Rainer MD**; Bucher, Heiner C. MD, MPH†,††; Battegay, Manuel MD††; Fehr, Jan MD**

Author Information
JAIDS Journal of Acquired Immune Deficiency Syndromes 64(5):p 472-478, December 15, 2013. | DOI: 10.1097/QAI.0b013e3182a61ea9
  • Free



Alcohol consumption is an important cause of morbidity and mortality in developed countries and likewise affects HIV-infected individuals.1 The World Health Organization categorizes daily alcohol consumption into drinking with light (<20 g for women and <40 g for men), moderate (20–40 g for women and 40–60 g for men), and severe (>40 g for women and >60 g for men) health risks.2 The reported prevalence of alcohol drinking in HIV-infected individuals varies widely: 40%–82% for any and 8%–35% for severe alcohol consumption.3–10 In the Swiss HIV Cohort Study (SHCS), alcohol consumption was reported by up to 52% of individuals and 2.8% reported severe health risk drinking.11

Liver disease in HIV-infected individuals, caused mainly by coinfection with the hepatitis C virus (HCV), is aggravated by alcohol-induced toxicity. Due to the success of combined antiretroviral therapy (ART), survival of HIV-infected individuals has markedly improved and therefore made the development of end-stage liver disease a greater concern.12–17 Furthermore, in vitro studies using human cell cultures and animal studies indicate that alcohol may have cytotoxic and immunosuppressive effects. In simian immunodeficiency virus–infected macaques, a deterioration of immunological and virological parameters (eg, lower CD4 cell count and higher viral loads) were observed after alcohol exposure.18–23 However, studies investigating the association of alcohol exposure and immune function or compromised immune restoration under ART in HIV-infected individuals show conflicting results.4,6,7,9–11,24–33

We assessed the association between self-reported alcohol consumption and HIV surrogate parameters in 2 groups of individuals in the SHCS. The first group included all the individuals initiating their first ART. This group was selected to analyze specifically the impact of alcohol under the influence of ART. We assessed the association between alcohol consumption and the risk of virological failure and discontinuation of ART. The second group included all the ART-naive individuals remaining off ART during the study period. In both groups, we investigated the impact of alcohol on immunological parameters by comparing the CD4 cell count trajectories across different categories of alcohol consumption.


Study Population and Assessment of Self-Reported Alcohol Consumption

The SHCS is a multicenter observational study for interdisciplinary HIV research in Switzerland. Since 1988, HIV-positive adults, aged 16 years or older, have prospectively and continuously been enrolled at 7 cohort centers, affiliated hospitals, and private practices collaborating with the centers. Over 17,000 HIV-infected individuals have been included since 1988, corresponding to approximately 70% of all HIV-infected individuals in Switzerland (for more details consult At a semiannual follow-up in outpatient clinics and associated private practices, structured clinical and laboratory data are obtained. Clinicians or study nurses collect data on sociodemographic and clinical characteristics, antiretroviral treatment, comorbidities including injecting and noninjecting drug use, and comedications based on a predefined questionnaire. Predefined laboratory tests, including HIV viral load and CD4 cell count, are performed at routine follow-up visits every 6 months but also in between cohort visits. Written informed consent was given by all participants and ethical approval by all local ethical committees.

In August 2005, a questionnaire on self-reported alcohol consumption was introduced. The following questions are asked by clinicians or study nurses every 6 months: (1) Did you drink alcohol at least once a week during the last 6 months? (yes, no, refuse to answer), and (2) If “yes,” how much did you drink on a daily basis? Average daily alcohol consumption is estimated with the help of a predefined list of different alcoholic beverages with their alcohol content in grams. Daily alcohol intake was translated into health risk categories developed by the World Health Organization 2: light (<20 g for women and <40 g for men), moderate (20–40 g for women and 40–60 g for men), and severe health risk (>40 g for women and >60 g for men). For simplicity, individuals were referred to as “nondrinkers,” if they did not consume at least 1 alcoholic beverage a week in the previous 6 months.

For this study, 2 groups were analyzed: (1) individuals who initiated their first ART between August 1, 2005, and October 1, 2012, and answered at least 1 alcohol questionnaire within the first 12 months of therapy; and (2) ART-naive individuals with a known date of first positive HIV test between August 1, 2005, and October 1, 2012, and answered at least 1 alcohol questionnaire within 12 months of diagnosis.

Outcome Variables

“Virological failure” was defined, based on the US Department of Health and Human Services guidelines for the use of antiretroviral agents, as either failure to achieve virological suppression (the first of 2 consecutive viral load measurements >400 copies per milliliter after 24 weeks or >50 copies per milliliter after 48 weeks) or a viral rebound after viral suppression (the first of 2 consecutive detectable viral load measurements after 2 consecutive undetectable viral load measurements, ie, ≤50 copies per milliliter). “ART interruption” was defined as discontinuation of ART for >7 days without medical indication. Longitudinal “changes in CD4 cell count” were modeled as continuous measures.

Covariates and Definitions

We adjusted for potential confounding risk factors.35 Time-independent variables measured at baseline were gender, ethnicity, age, and time since HIV diagnosis. Time-updated variables were current intravenous drug use (IDU) or being in a drug maintenance program, psychiatric comorbidities (defined as either diagnosed/treated by a psychiatrist or taking antidepressant drugs), AIDS-defining disease, chronic infection with hepatitis B virus (HBV) (positive HBs antigen test or detection of HBV DNA) or HCV (detection of HCV RNA or being on treatment for HCV), CD4 cell count, HIV viral load and drug class of current regimen [nonnucleoside reverse transcriptase inhibitor, boosted or unboosted protease inhibitor (PI), triple nucleoside reverse transcriptase inhibitor]. We also considered self-reported nonadherence to ART (at least 1 missed dose in the previous 4 weeks)—a time-dependent confounder which is likely to lie on a causal pathway.

Statistical Methods

For individuals initiating first ART, time-dependent Cox proportional hazards models were used to assess the effect of alcohol consumption on time to virological failure. Individuals were followed from the date of initiating ART and were censored when they stopped ART for >7 days, were lost to follow-up (>9 months since last cohort visit), or at the closing date of the study (October 1, 2012), whichever came first. Likewise, we estimated the association between alcohol consumption and ART interruption. Alcohol consumption was time updated, and covariates listed above were adjusted in all models. We fitted separate models with and without adjusting for nonadherence to assess the overall and cause-specific effect of alcohol consumption on each outcome. Results were presented as hazards ratios (HRs) and 95% confidence intervals (CI).

For both groups of individuals, the trajectories of CD4 cell counts were fitted using linear mixed models with a random effect on the intercept to allow for the fitted curve to vary between individuals. Log-transformed CD4 cell counts were used to ensure that the assumption of linearity was met. A square root transformation was also performed in a sensitivity analysis; although it was considered a better fit, the estimates could not be easily back transformed to the original scale.36 Individuals initiating first ART contributed to the models until they stopped ART for >7 days, were lost to follow-up, or at the closing date of the study, whichever came first. However, we followed ART-naive individuals from the first CD4 cell count measurement after HIV diagnosis until the last measurement strictly before initiating ART, loss to follow-up, or at the closing date of the study, whichever came first. In all models, follow-up time was modeled as a cubic spline with 5 knots at percentiles 5, 27.5, 50, 72.5, and 95. Results were presented as changes in the ratio of geometric means of CD4 cell counts with 95% CIs.

In all analyses, we considered the combined categories of none and light health risk drinkers as the reference category. Given the small number of visits where individuals refused to answer the alcohol questions, these entries were considered as missing. We also carried out a series of sensitivity analyses: (1) we combined moderate and severe health risk drinkers into a single category termed “at-risk drinkers” due to the small numbers in each category; (2) we expanded the definition of drug use to include noninjecting drug use, which was only collected since April 2007; (3) we only included ART-naive individuals who had at least 6 months of follow-up, given that CD4 cell count does not change very rapidly; (4) we did not censor individuals initiating first ART at ART interruption to get an overall estimate of the effect of alcohol consumption on virological failure and CD4 cell count; (5) we adjusted for misclassification due to underreport by assuming all individuals to underreport their alcohol consumption equally by 40%.37 All analyses were done using SAS version 9.2 (SAS Institute Inc., Cary, NC).


Participants' Characteristics

During the study period, 3464 individuals initiated their first ART. Of which, 482 were excluded due to incomplete alcohol consumption questionnaire or missing data on CD4 cell count and viral load within 12 months of initiating ART. The 2982 (86%) included individuals had a median follow-up of 30 [interquartile range (IQR): 14–51] months. A total of 2607 ART-naive individuals had a known date of first positive HIV test. Of which, 522 were excluded due to incomplete alcohol consumption questionnaire or missing data on CD4 cell count and viral load within 12 months of diagnosis. The 2085 (80%) included individuals were followed for a total of 1614 person-years. During this time, 7809 CD4 cell count measurements were made, with a median time between measurements of 2.6 (IQR: 0.9–3.9) months. Their median follow-up time was 2 (IQR: 1–14) months: 1744 (84%) started ART with a median follow-up of 1 (IQR: 0.4–10) month, and 341 (16%) remained off ART with a median follow-up of 12 (IQR: 1–36) months.

Missing data in excluded individuals was largely due to early censoring. Among individuals initiating first ART, 324 (67%) excluded individuals had a follow-up of at least 12 months and were on average younger (mean age was 37 years for excluded vs. 40 years for included individuals), more likely to be female (31% vs. 25%), non-Caucasian (37% vs. 24%), or IDUs (15% vs. 8%). Among ART-naive individuals, 273 (52%) excluded individuals had a follow-up of at least 12 months and were more likely to be IDUs (9% vs. 4%).

The baseline characteristics are shown in Table 1. Individuals initiating first ART and ART-naive individuals reported to be nondrinkers in 46.4% and 42.4%, light health risk drinkers in 45.9% and 51.3%, moderate health risk drinkers in 4.7% and 3.9%, and severe health risk drinkers in 2.2% and 2.2%, respectively. Only 0.8% and 0.2% refused to answer the alcohol questionnaire, respectively.

Baseline Characteristics for Individuals Initiating First ART and ART-Naive Individuals in the SHCS (n = 5067)

Treatment Outcome and Association With Alcohol Use

In individuals initiating first ART, 241 (8%) experienced virological failure, of which 91 (38%) failed to achieve suppression and 150 (62%) experienced viral rebound. There was no significant effect of alcohol consumption on the risk of virological failure (Table 2). ART interruption without medical indication was noted in 449 (15%) individuals initiating first ART with a median time to interruption of 12 (IQR: 5–22) months. Severe health risk drinkers were more likely to stop treatment compared with none/light health risk drinkers (HR: 2.24, 95% CI: 1.42 to 3.52). This association remained significant when nonadherence was included in the model (HR: 2.20, 95% CI: 1.40 to 3.46). Estimates from other covariates confirmed known associations from a previous study from the SHCS concerning ART interruption and virological failure.38 In a sensitivity analysis where individuals were not censored at ART interruption, severe health risk drinkers were more likely to experience virological failure (HR: 1.66, 95% CI: 1.00 to 2.77).

Association Between Alcohol Consumption, Virological Failure, and Interruption of ART in Individuals Initiating First ART (n = 2982)

In both groups of individuals initiating first ART and ART-naive individuals, we found no association between alcohol consumption and CD4 cell count change over time (Table 3). In individuals initiating first ART, lower CD4 cell count was found in those who were older, non-Caucasian, diagnosed with HIV for longer, coinfected with HBV or HCV, had lower baseline CD4 cell count, higher baseline viral load, and initiated nonnucleoside reverse transcriptase inhibitor–based regimens. In ART-naive individuals, lower CD4 cell count was found in females, individuals with psychiatric comorbidities, AIDS, lower baseline CD4 cell count, and higher baseline viral load. All sensitivity analyses gave similar results, which led to the same conclusion (data not shown).

Association Between Alcohol Consumption and CD4 Cell Count Changes Over Time in Individuals Initiating First ART and in ART-Naive Individuals


The influence of alcohol on HIV surrogate markers is controversially discussed. Our study uses one of the largest dataset of self-reported alcohol consumption in HIV-infected individuals to assess the putative association with immunological and virological parameters among individuals initiating first ART and ART-naïve individuals. We found no association between CD4 cell count change over time and the different alcohol drinking categories, neither in ART-initiating nor in ART-naïve individuals. However, we found a higher rate of ART interruption in ART-initiating individuals with severe health risk drinking but no increased risk of virological failure.

The prevalence of severe health risk drinking in the SHCS was lower (2.2%) compared with other studies (10%–30%).4,30,31 This probably is due to the fact that most of the comparator studies recruited from their study populations, such as homeless people or individuals with known harmful substance consumption, or due to a higher rate of underreport of the real alcohol consumption in our study.

Our findings challenge the hypothesis generated by studies from cell cultures and animals indicating an association between higher alcohol intake, lower CD4 cell count and higher simian immunodeficiency virus viral loads.18,19,21,22 Previous studies on HIV-infected individuals with and without ART also suggested an association between alcohol consumption and unfavorable virological and/or immunological outcomes.26,27,29,39 Due to the high heterogeneity of study designs and populations, these findings are difficult to interpret. Many of them were cross-sectional and were performed in the pre-ART era with both selected and small samples.

In line with our results, the following studies on treated and untreated HIV-infected individuals found no effect of alcohol on CD4 cell counts.4,10,24,25,30,31 In a large study of 1107 individuals initiating ART, Kowalski et al31 concluded that the positive effects of ART on viral suppression and immunological function predominated the potential immunotoxic effects of alcohol. But unlike our study, untreated individuals were not included to analyze the effect of alcohol in the absence of ART. Samet et al4 conducted a longitudinal study in 595 individuals over 7 years and found no effect of alcohol on CD4 cell count in ART-treated individuals but an impact in untreated individuals. This provides more evidence for the hypothesis of the counterbalancing effect of ART. Notably, only individuals with current or previous alcohol problems were included, limiting generalizability. Wu et al showed in 325 individuals that neither in ART-treated nor untreated individuals, there was an association between alcohol consumption and CD4 cell count.30 However, daily alcohol consumers had a 4-fold increase in detectable HIV viral load, and this remained significant when results were adjusted for adherence. Smaller earlier studies, even from the pre-ART era, found neither an effect of alcohol on CD4 cell count nor on AIDS-defining events.10,24,25

Nonadherence to ART in heavy alcohol drinkers is a frequent problem and nonadherence rates are 3–3.6 times higher in moderate and severe drinkers compared with nondrinkers.9,33 In our previous publication, we found similar results with a dose-dependent relationship between alcohol use and nonadherence to ART.11 Here, severe health risk drinkers were more likely to stop ART compared with none/light health risk drinkers. This association still held when nonadherence was adjusted in the model. Intentional nonadherence by skipping or stopping ART intake while drinking alcohol was identified in a prospective cohort study as an important cause of suboptimal ART adherence in individuals consuming relevant amounts of alcohol.40 Because reporting of reasons for ART interruption is not detailed in the SHCS, we are not able to analyze the direct influence of drinking behavior on ART interruption. Despite the higher rate of ART interruption, severe health risk drinking was not associated with virological failure. An explanation might be that individuals did not interrupt ART in an “on and off” manner but simply stopped at 1 time, thereby minimizing the risk for virological failure. Furthermore, in our study population, PIs were used in >50% of all individuals. The higher resistance barrier of PIs may counterbalance the risk of virological failure in severe health risk drinkers. If individuals were not censored at ART interruption, severe health risk drinkers were more likely to experience virological failure, implying that alcohol consumption was associated with virological failure largely through ART interruption and poor adherence.

Alcohol is a contributing factor for risky sexual behavior and HIV transmission.41–44 In the SHCS, IDU and moderate or severe alcohol consumption are associated with unprotected sex.41 If HIV infection is not optimally treated in severe alcohol drinkers with risky sexual behavior, the risk of sexual HIV transmission is high. This is not only a public health concern in Switzerland but is of utmost importance in regions, such as Eastern Europe, where alcohol consumption per capita is high and an uncontrolled HIV epidemic is ongoing. Hence, it is important to treat these individuals at risk appropriately and to provide them with all the needed support to achieve virological suppression. As severe health risk drinkers were not shown to have a higher risk of virological failure, ART should not be withheld because this was sometimes the case for IDUs.45 In addition to concerns over possible treatment failure, the physician's fear of alcohol-related liver toxicity might be another reason for postponing ART in heavy drinkers. However, this argument can be disproved as liver-related toxicities from alcohol and ART were found to be rare in a recent D.A.D. publication.46

Our study has several strengths. Most importantly, we studied not only ART-naive individuals but also individuals initiating first ART, which allowed us to analyze the influence of different alcohol consumption levels both in the absence and presence of ART. The SHCS has excellent follow-up, and data are of high quality with only a small percentage of missing entries. Our study is based on a large sample and includes individuals from a representative population with different HIV transmission risk groups and social classes.

We acknowledge the following limitations: we had limited power despite the large sample size because of the relatively few individuals in the moderate and severe health risk drinking group. Follow-up was too short to see an immunological change due to alcohol-induced toxicity in ART-naive individuals because they started ART shortly after HIV diagnosis. A social desirability and interviewer bias can lead to underreport of the alcohol consumption, and individuals' reporting behavior might be different in front of physicians or nurses who perform the interview. Data were not missing completely at random as individuals who refused to answer the alcohol questionnaire or missed the follow-up visits were likely to belong to the at-risk population (eg, IDUs). However, the percentage of missing data was low (<1%) and results were based on a large sample from a representative population of HIV-infected individuals, which is a strong argument for our findings being valid and relevant. Finally, there is a lack of data on binge drinking in the SHCS. Binge drinking is known to be a risky drinking behavior and associated with lower adherence to ART, and omitting it can lead to underestimation of the degree of hazardous alcohol consumption.47,48

In conclusion, this large representative study of self-reported alcohol consumption in the SHCS showed an association between higher alcohol consumption and ART interruption but not virological failure. Motivational efforts to take ART should be optimized not only to have better virological and immunological outcomes in the individuals themselves but also to avoid sexual HIV transmission through risky sexual behavior due to severe health risk drinking. We could not detect an effect of alcohol on CD4 cell counts neither in ART-naive nor treated individuals. Our data contribute valuable knowledge to the controversy whether alcohol has an influence on HIV surrogates or not.

Members of the Swiss HIV Cohort Study (SHCS)

J. Barth, M. Battegay, E. Bernasconi, J. Böni, H. C. Bucher, C. Burton-Jeangros, A. Calmy, M. Cavassini, C. Cellerai, M. Egger, L. Elzi, J. Fehr, J. Fellay, M. Flepp, P. Francioli (President of the SHCS), H. Furrer (Chairman of the Clinical and Laboratory Committee), C. A. Fux, M. Gorgievski, H. Günthard (Chairman of the Scientific Board), D. Haerry (Deputy of “Positive Council”), B. Hasse, H. H. Hirsch, B. Hirschel, I. Hösli, C. Kahlert, L. Kaiser, O. Keiser, C. Kind, T. Klimkait, H. Kovari, B. Ledergerber, G. Martinetti, B. Martinez de Tejada, K. Metzner, N. Müller, D. Nadal, G. Pantaleo, A. Rauch, S. Regenass, M. Rickenbach (Head of Data Center), C. Rudin (Chairman of the Mother & Child Substudy), P. Schmid, D. Schultze, F. Schöni-Affolter, J. Schüpbach, R. Speck, P. Taffé, P. Tarr, A. Telenti, A. Trkola, P. Vernazza, R. Weber, and S. Yerly.


1. Brundtland GH. From the World Health Organization. Reducing risks to health, promoting healthy life. JAMA. 2002;288:1974.
2. WHO. International Guide for Monitoring Alcohol Consumption and Related Harm, Non-communicable Diseases and Health Cluster2000. Geneva, Switzerland: World Health Organization (WHO).
3. Chander G, Josephs J, Fleishman JA, et al.. Alcohol use among HIV-infected persons in care: results of a multi-site survey. HIV Med. 2008;9:196–202.
4. Samet JH, Cheng DM, Libman H, et al.. Alcohol consumption and HIV disease progression. J Acquir Immune Defic Syndr. 2007;46:194–199.
5. Galvan FH, Bing EG, Fleishman JA, et al.. The prevalence of alcohol consumption and heavy drinking among people with HIV in the United States: results from the HIV Cost and Services Utilization Study. J Stud Alcohol. 2002;63:179–186.
6. Cook RL, Sereika SM, Hunt SC, et al.. Problem drinking and medication adherence among persons with HIV infection. J Gen Intern Med. 2001;16:83–88.
7. Justice AC, Lasky E, McGinnis KA, et al.. Medical disease and alcohol use among veterans with human immunodeficiency infection: a comparison of disease measurement strategies. Med Care. 2006;44(8 suppl 2):S52–S60.
8. Lefevre F, O'Leary B, Moran M, et al.. Alcohol consumption among HIV-infected patients. J Gen Intern Med. 1995;10:458–460.
9. Chander G, Lau B, Moore RD. Hazardous alcohol use: a risk factor for non-adherence and lack of suppression in HIV infection. J Acquir Immune Defic Syndr. 2006;43:411–417.
10. Fabris P, Tositti G, Manfrin V, et al.. Does alcohol intake affect highly active antiretroviral therapy (HAART) response in HIV-positive patients? J Acquir Immune Defic Syndr. 2000;25:92–93.
11. Conen A, Fehr J, Glass TR, et al.. Self-reported alcohol consumption and its association with adherence and outcome of antiretroviral therapy in the Swiss HIV Cohort Study. Antivir Ther. 2009;14:349–357.
12. Egger M, May M, Chene G, et al.. Prognosis of HIV-1-infected patients starting highly active antiretroviral therapy: a collaborative analysis of prospective studies. Lancet. 2002;360:119–129.
13. May MT, Sterne JA, Costagliola D, et al.. HIV treatment response and prognosis in Europe and North America in the first decade of highly active antiretroviral therapy: a collaborative analysis. Lancet. 2006;368:451–458.
14. Ledergerber B, Egger M, Opravil M, et al.. Clinical progression and virological failure on highly active antiretroviral therapy in HIV-1 patients: a prospective cohort study. Swiss HIV Cohort Study. Lancet. 1999;353:863–868.
15. Rosenthal E, Salmon-Ceron D, Lewden C, et al.. Liver-related deaths in HIV-infected patients between 1995 and 2005 in the French GERMIVIC Joint Study Group Network (Mortavic 2005 study in collaboration with the Mortalite 2005 survey, ANRS EN19). HIV Med. 2009;10:282–289.
16. Bonacini M. Alcohol use among patients with HIV infection. Ann Hepatol. 2011;10:502–507.
17. Obel N, Omland LH, Kronborg G, et al.. Impact of non-HIV and HIV risk factors on survival in HIV-infected patients on HAART: a population-based nationwide cohort study. PloS One. 2011;6:e22698.
18. Heermans EH. Booze and blood: the effects of acute and chronic alcohol abuse on the hematopoietic system. Clin Lab Sci. 1998;11:229–232.
19. Liu X, Zha J, Nishitani J, et al.. HIV-1 infection in peripheral blood lymphocytes (PBLs) exposed to alcohol. Virology. 2003;307:37–44.
20. Bagasra O, Kajdacsy-Balla A, Lischner HW, et al.. Alcohol intake increases human immunodeficiency virus type 1 replication in human peripheral blood mononuclear cells. J Infect Dis. 1993;167:789–797.
21. Poonia B, Nelson S, Bagby GJ, et al.. Intestinal lymphocyte subsets and turnover are affected by chronic alcohol consumption: implications for SIV/HIV infection. J Acquir Immune Defic Syndr. 2006;41:537–547.
22. Kumar R, Perez-Casanova AE, Tirado G, et al.. Increased viral replication in simian immunodeficiency virus/simian-HIV-infected macaques with self-administering model of chronic alcohol consumption. J Acquir Immune Defic Syndr. 2005;39:386–390.
23. Bagby GJ, Zhang P, Purcell JE, et al.. Chronic binge ethanol consumption accelerates progression of simian immunodeficiency virus disease. Alcohol Clin Exp Res. 2006;30:1781–1790.
24. Dingle GA, Oei TP. Is alcohol a cofactor of HIV and AIDS? Evidence from immunological and behavioral studies. Psychol Bull. 1997;122:56–71.
25. Kaslow RA, Blackwelder WC, Ostrow DG, et al.. No evidence for a role of alcohol or other psychoactive drugs in accelerating immunodeficiency in HIV-1-positive individuals. A report from the Multicenter AIDS Cohort Study. JAMA. 1989;261:3424–3429.
26. Samet JH, Horton NJ, Traphagen ET, et al.. Alcohol consumption and HIV disease progression: are they related? Alcohol Clin Exp Res. 2003;27:862–867.
27. Miguez MJ, Shor-Posner G, Morales G, et al.. HIV treatment in drug abusers: impact of alcohol use. Addict Biol. 2003;8:33–37.
28. Ghebremichael M, Paintsil E, Ickovics JR, et al.. Longitudinal association of alcohol use with HIV disease progression and psychological health of women with HIV. AIDS Care. 2009;21:834–841.
29. Baum MK, Rafie C, Lai S, et al.. Alcohol use accelerates HIV disease progression. AIDS Res Hum Retroviruses. 2010;26:511–518.
30. Wu ES, Metzger DS, Lynch KG, et al.. Association between alcohol use and HIV viral load. J Acquir Immune Defic Syndr. 2011;56:e129–e130.
31. Kowalski S, Colantuoni E, Lau B, et al.. Alcohol consumption and CD4 T-cell count response among persons initiating antiretroviral therapy. J Acquir Immune Defic Syndromes. 2012;61:455–461.
32. Shor-Posner G, Miguez MJ. Heavy alcohol use hinders HIV therapy: study. AIDS Alert. 2001;16:88–90.
33. Samet JH, Horton NJ, Meli S, et al.. Alcohol consumption and antiretroviral adherence among HIV-infected persons with alcohol problems. Alcohol Clin Exp Res. 2004;28:572–577.
34. Schoeni-Affolter F, Ledergerber B, Rickenbach M, et al.. Cohort profile: the Swiss HIV Cohort study. Int J Epidemiol. 2010;39:1179–1189.
35. Hernan MA, Hernandez-Diaz S, Werler MM, et al.. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol. 2002;155:176–184.
36. May M, Wood R, Myer L, et al.. CD4(+) T cell count decreases by ethnicity among untreated patients with HIV infection in South Africa and Switzerland. J Infect Dis. 2009;200:1729–1735.
37. Boniface S, Shelton N. How is alcohol consumption affected if we account for under-reporting? A hypothetical scenario. Eur J Public Health. 2013. [Epub ahead of print, February 26, 2013. doi: 10.1093/eurpub/ckt016].
38. Glass TR, Battegay M, Cavassini M, et al.. Longitudinal analysis of patterns and predictors of changes in self-reported adherence to antiretroviral therapy: Swiss HIV Cohort Study. J Acquir Immune Defic Syndr. 2010;54:197–203.
39. Henrich TJ, Lauder N, Desai MM, et al.. Association of alcohol abuse and injection drug use with immunologic and virologic responses to HAART in HIV-positive patients from urban community health clinics. J Community Health. 2008;33:69–77.
40. Kalichman SC, Grebler T, Amaral CM, et al.. Intentional non-adherence to medications among HIV positive alcohol drinkers: prospective study of Interactive toxicity beliefs. J Gen Intern Med. 2012;28:399–405.
41. Hasse B, Ledergerber B, Hirschel B, et al.. Frequency and determinants of unprotected sex among HIV-infected persons: the Swiss HIV cohort study. Clin Infec Dis. 2010;51:1314–1322.
42. Semple SJ, Strathdee SA, Zians J, et al.. Sexual risk behavior associated with co-administration of methamphetamine and other drugs in a sample of HIV-positive men who have sex with men. Am J Addict. 2009;18:65–72.
43. Bouhnik AD, Preau M, Lert F, et al.. Unsafe sex in regular partnerships among heterosexual persons living with HIV: evidence from a large representative sample of individuals attending outpatients services in France (ANRS-EN12-VESPA Study). AIDS. 2007;21(suppl 1):S57–S62.
44. Bouhnik AD, Preau M, Schiltz MA, et al.. Unprotected sex in regular partnerships among homosexual men living with HIV: a comparison between sero-nonconcordant and seroconcordant couples (ANRS-EN12-VESPA Study). AIDS. 2007;21(suppl 1):S43–S48.
45. Bassetti S, Battegay M, Furrer H, et al.. Why is highly active antiretroviral therapy (HAART) not prescribed or discontinued? Swiss HIV Cohort Study. J Acquir Immune Defic Syndr. 1999;21:114–119.
46. Kovari H, Sabin CA, Ledergerber B, et al.. Antiretroviral drug-related liver mortality among HIV-positive persons in the absence of HBV or HCV co-infection. The data collection on adverse events of anti-HIV drugs (D:A:D) study. Clin Infect Dis. 2012;56:870–879.
47. Beer L, Heffelfinger J, Frazier E, et al.. Use of and adherence to antiretroviral therapy in a large U.S. sample of HIV-infected adults in care, 2007-2008. Open AIDS J. 2012;6:213–223.
48. Braithwaite RS, Bryant KJ. Influence of alcohol consumption on adherence to and toxicity of antiretroviral therapy and survival. Alcohol Res Health. 2010;33:280–287.

alcohol; HIV infection; virological failure; CD4 cell count; antiretroviral therapy

© 2013 by Lippincott Williams & Wilkins