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. Author manuscript; available in PMC: 2012 Apr 15.
Published in final edited form as: J Acquir Immune Defic Syndr. 2011 Apr 15;56(5):e129–e130. doi: 10.1097/QAI.0b013e31820dc1c8

Association between Alcohol Use and HIV Viral Load

Evan S Wu 1, David S Metzger 2, Kevin G Lynch 1,4, Steven D Douglas 3
PMCID: PMC3082398  NIHMSID: NIHMS268927  PMID: 21532918

Introduction

The association between alcohol use and indicators of HIV progression through adherence has been documented (13); however, a direct association between alcohol use and HIV viral load and CD4 count has not been established. Immunologic studies have searched for a biological mechanism by which alcohol may directly affect the immune function of HIV positive patients. Alcohol significantly enhanced HIV R5 strain infection in monocyte-derived macrophages, treated ex vivo (4). Samet et al. conducted a seven-year longitudinal study which examined the independent association between HIV progression and alcohol use (5). Heavy alcohol consumption was not directly associated with higher HIV RNA levels among subjects receiving HAART (4).

We examined the relationship between alcohol use and viral load - independent of adherence to HAART. Focus was placed on the HAART using group, since Samet et al. observed that alcohol’s effects on the liver could potentially affect the metabolism of ARV medications, which may account for the associations between alcohol and HIV disease progression (6).

Methods

Participants

Participants for the study were recruited from HIV treatment settings in Philadelphia between 2003 and 2005. We studied subjects with a history of alcohol and substance abuse, and as a comparison group, also enrolled a sample of non-alcohol users. Inclusion criteria required that participants had a confirmed seropositive status, and were receiving HIV treatment at the time of interview. The trial was approved by the Committee on Human Subjects of the University of Pennsylvania Institutional Review Board.

Alcohol Use Data

All behavioral data were assessed through self-report. Participant alcohol use was collected using the Risk Assessment Battery (RAB). The RAB measure asked participants of their frequency of alcohol use in the past month with four response options: everyday, a few times a week, a few times a month, and not at all. Using this measure, we classified our sample into “daily drinkers”, “regular drinkers”, and “non-drinkers”. “Daily drinkers” used alcohol everyday, “regular drinkers” reported drinking a few times a week, and “non-drinkers” reported drinking a few times a month or not at all.

HAART Adherence

Self-reported adherence to HAART was measured using a four-point scale (always, usually, sometimes, never), all participants were asked the way in which they took their prescribed medication for HIV. Participants currently not on HAART were provided the choice not on HAART. Based on this adherence schema, we dichotomized HAART users in our sample into “adherers” (always taking their medication), and “non-adherers” (usually, sometimes, or never taking their medicine).

Laboratory Data

Our primary outcomes were HIV viral load and absolute CD4 count. Levels of HIV RNA in plasma were quantified by means of RT-PCR assay (Roche Molecular Systems, Branchburg, NJ) according to the manufacturer’s protocol. The minimal detectable level of HIV RNA was 50 copies/ml.

Data Analysis

In order to investigate the adjusted association between viral load and alcohol use, we first used logistic regression to examine the relationship between detectable viral load and daily alcohol use, adjusted for adherence (for HAART users only) and age, race and gender. Linear regression was employed to study the association between CD4 count and daily alcohol use. Finally, we included “regular drinkers” in the alcohol users group, in addition to the “daily drinkers”, and reran the above analyses. All statistical analyses were carried out in R 2.9.1 (Free Software Foundation, Inc, Boston, MA, USA).

Results

Sample Description

Of our 325 subjects, 241 (74%) were currently on HAART, and 84 (26%) were non-HAART users. Table 1 outlines the outcome measures in our study. 43.4% of HAART users in our sample had a detectable viral load, as compared to 90.5% of the non-HAART users (p<0.01). There were no significant differences in absolute CD4 count between the groups, and nearly 55% of HAART users were always adherent to HAART. With respect to the alcohol measures, 10.6% of the HAART users and 24.1% of the non-HAART subjects consumed alcohol daily in the past month; 44.2% in the HAART group and 36.1% in the non-HAART group did not drink at all in the past month (p=0.24).

Table 1.

Summary of Outcome Measures

Outcome Group
P-value
HAART User n=241 Non-HAART User n=84
Log10 Viral Load, mean ± SD 1.43 ± 1.83 3.58 ± 1.39 <0.01
Detectable Viral Load (%)
 Detectable 43.4 90.5 <0.01
 Non-Detectable 46.6 9.5
CD4, mean ± SD 442.8 ± 295.6 441.3 ± 239.1 0.964
Adherence (%)
 Always take 54.8 N/A
 Usually take 38.6 N/A
 Sometimes take 6.6 N/A
 Never take 0.0 N/A
Frequency of Alcohol Use (%) 0.238
 Everyday 10.7 24.1
 A few times a week 27.0 24.1
 A few times a month 18.1 15.7
 Not at all 44.2 36.1
Current DSM-IV Diagnosis (%) 0.341
 Present 30.4 44.0
 Absent 69.6 56.0
Past DSM-IV Diagnosis (%) 0.213
 Dependence 68.5 78.6
 Abuse 9.1 4.8
 Absent 22.4 16.7
Cocaine 0.642
 Everyday 5.3 9.7
 A few times a week 0.9 1.2
 A few times a month 1.8 3.6
 Not at all 92.0 85.5

Alcohol Use and Viral Load

The relationship between detectable viral load and alcohol use was examined. Adjusting for adherence and demographic covariates, daily drinkers had nearly a four-fold increase in the odds of detectable viral load (OR=3.81, p=0.01, 95%CI = [1.42, 11.48]), as compared to the remainder of the HAART users in the sample. When we included regular drinkers in our alcohol user group, the adjusted association was no longer significant (OR=1.29, p=0.41, 95%CI = [0.70, 2.33]). For non-HAART users, daily drinking was not associated with significantly higher odds of detectable viral load (OR=2.08, p=0.62, 95%CI = [0.32, 41.20]).

Alcohol Use and CD4

For HAART users, daily alcohol use, adjusted for adherence and demographic factors, was associated with a −41.59 cells/ml decrease in CD4 (p=0.52, 95%CI = [−169.24, 86.06]). Among the non-HAART users, daily alcohol use was associated with a 65.6 cells/ml decrease in CD4 (p=0.31, 95%CI = [−193.01, 61.77]).

Discussion

We investigated the direct relationship between alcohol use and HIV viral load. After controlling for adherence and demographic covariates, there remains a strong relationship between daily alcohol use and detectable viral load among participants on HAART. Daily drinkers in our sample had increased odds of detectable viral load, regular drinkers, defined as consuming a few drinks a week, did not.

Limitations

This was a cross-sectional study; a longitudinal design may have been more appropriate to investigate the possible association between alcohol use and progression of the HIV virus over time. Givenour limited sample size (n=84) and highly skewed distribution (90.5% detectable viral load) of non-HAART participants, it was difficult to conclude whether the non-significant association for this group was due to the inherent lack of statistical power, or an underlying biological explanation.

Implications and Suggestions for Future Research

Despite these limitations, our results suggest that there is an association among HAART users between daily alcohol use and viral load. By classifying alcohol users into “daily” and “regular”, we also found that while daily consumption was significantly associated with detectable viral load, regular alcohol use was not. This finding is consistent with previous work that moderate alcohol use is associated with different impact on HIV progression and survival than heavy alcohol use (5,7). In contrast, Samet et al. (5) established a significant association between heavy alcohol use and CD4 count among non-HAART users, but not among HAART users. Heavy alcohol use in their study was not associated with higher HIV RNA levels for either medication group (5). Our study established an independent relationship for HAART users between heavy alcohol use and HIV RNA levels, but inconclusive results among participants not on HAART.

In summary, reducing alcohol use, even from daily to a few times a week, may decrease the odds of detectable viral load in patients undergoing HAART therapy. Our results provide evidence in support of Samet’s hypothesis (6) that the association between alcohol use and HIV RNA levels is modified by HAART, and the possibility of drug-drug interaction between HAART and alcohol, whereby alcohol impacts the metabolism of HAART as previously suggested.

Acknowledgments

Sources of Support

This research was financially supported by the National Institute of Health (NIH-AA-13547 to SDD) and Training Grant (2T32MH065218) in Biostatistics

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