Robert G Deiss1,2,3, Octavio Mesner1,3, Brian K Agan1,3, Anuradha Ganesan1,3,4, Jason F Okulicz5, Mary Bavaro2, Tahaniyat Lalani3,6, Thomas A O'Bryan1,3,5, Ionut Bebu7, Grace E Macalino1,3. 1. Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland. 2. Division of Infectious Diseases, Naval Medical Center of San Diego, San Diego, California. 3. Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, Maryland. 4. Division of Infectious Diseases, Walter Reed Medical Center, Bethesda, Maryland. 5. Infectious Disease Service, San Antonio Military Medical Center, San Antonio, Texas. 6. Division of Infectious Diseases, Naval Medical Center Portsmouth, Portsmouth, Virginia. 7. Biostatistics Center, Department of Epidemiology and Biostatistics, The George Washington University, Washington, District of Columbia.
Abstract
BACKGROUND: The effects of at-risk drinking on HIV infection remain controversial. We investigated the impact of self-reported alcohol consumption on surrogate markers of HIV progression among individuals initiated on highly active antiretroviral therapy (HAART). METHODS: We analyzed individuals who were surveyed on alcohol use within a year of HAART initiation between 2006 and 2014. At-risk drinking was defined as consumption of at least 3 or 4 drinks/d, or 7 and 14 drinks/wk among women and men, respectively. We performed time-updated generalized estimating equation logistic regression to determine the effect of at-risk drinking on virologic failure (VF) and mixed-effects linear regression on CD4 count reconstitution, controlling for potential confounders. RESULTS: Of 801 individuals initiated on HAART, 752 individuals with alcohol survey data were included in the analysis. Of these, 45% (n = 336) met criteria for at-risk drinking at HAART initiation on at least 1 survey. The rates of VF were 4.30 per 100 person-years (95% CI [2.86, 6.21]) for at-risk drinkers and 2.45 per 100 person-years (95% CI [1.57, 3.65]) for individuals without at-risk drinking. At-risk drinking was not significantly associated with VF (OR 1.73, 95% CI [0.92, 3.25]) (p = 0.087) or CD4 reconstitution (CD4 increase 11.4; 95% CI [-19.8, 42.7]) in univariate analyses; however, in our multivariate model, a statistically significant relationship between VF and at-risk drinking was observed (OR 2.28, 95% CI [ 1.01, 5.15]). CONCLUSIONS: We found a high proportion of at-risk drinking in our military cohort, which was predictive of VF in multivariate analysis. Given alcohol's effect on myriad HIV and non-HIV outcomes, interventions to decrease the prevalence of at-risk drinking among HIV-infected individuals are warranted.
BACKGROUND: The effects of at-risk drinking on HIV infection remain controversial. We investigated the impact of self-reported alcohol consumption on surrogate markers of HIV progression among individuals initiated on highly active antiretroviral therapy (HAART). METHODS: We analyzed individuals who were surveyed on alcohol use within a year of HAART initiation between 2006 and 2014. At-risk drinking was defined as consumption of at least 3 or 4 drinks/d, or 7 and 14 drinks/wk among women and men, respectively. We performed time-updated generalized estimating equation logistic regression to determine the effect of at-risk drinking on virologic failure (VF) and mixed-effects linear regression on CD4 count reconstitution, controlling for potential confounders. RESULTS: Of 801 individuals initiated on HAART, 752 individuals with alcohol survey data were included in the analysis. Of these, 45% (n = 336) met criteria for at-risk drinking at HAART initiation on at least 1 survey. The rates of VF were 4.30 per 100 person-years (95% CI [2.86, 6.21]) for at-risk drinkers and 2.45 per 100 person-years (95% CI [1.57, 3.65]) for individuals without at-risk drinking. At-risk drinking was not significantly associated with VF (OR 1.73, 95% CI [0.92, 3.25]) (p = 0.087) or CD4 reconstitution (CD4 increase 11.4; 95% CI [-19.8, 42.7]) in univariate analyses; however, in our multivariate model, a statistically significant relationship between VF and at-risk drinking was observed (OR 2.28, 95% CI [ 1.01, 5.15]). CONCLUSIONS: We found a high proportion of at-risk drinking in our military cohort, which was predictive of VF in multivariate analysis. Given alcohol's effect on myriad HIV and non-HIV outcomes, interventions to decrease the prevalence of at-risk drinking among HIV-infected individuals are warranted.
Authors: Robert M Bray; Michael R Pemberton; Marian E Lane; Laurel L Hourani; Mark J Mattiko; Lorraine A Babeu Journal: Mil Med Date: 2010-06 Impact factor: 1.437
Authors: Gregory J Bagby; Ping Zhang; Jeanette E Purcell; Peter J Didier; Steve Nelson Journal: Alcohol Clin Exp Res Date: 2006-10 Impact factor: 3.455
Authors: Matthew S Freiberg; Kathleen A McGinnis; Kevin Kraemer; Jeffrey H Samet; Joseph Conigliaro; R Curtis Ellison; Kendall Bryant; Lewis H Kuller; Amy C Justice Journal: J Acquir Immune Defic Syndr Date: 2010-02 Impact factor: 3.731
Authors: Isabel G Jacobson; Margaret A K Ryan; Tomoko I Hooper; Tyler C Smith; Paul J Amoroso; Edward J Boyko; Gary D Gackstetter; Timothy S Wells; Nicole S Bell Journal: JAMA Date: 2008-08-13 Impact factor: 56.272
Authors: Patricia E Molina; Charles H Lang; Margaret McNurlan; Gregory J Bagby; Steve Nelson Journal: Alcohol Clin Exp Res Date: 2007-11-20 Impact factor: 3.455
Authors: Anna Conen; Qing Wang; Tracy R Glass; Christoph A Fux; Maria C Thurnheer; Christina Orasch; Alexandra Calmy; Enos Bernasconi; Pietro Vernazza; Rainer Weber; Heiner C Bucher; Manuel Battegay; Jan Fehr Journal: J Acquir Immune Defic Syndr Date: 2013-12-15 Impact factor: 3.731
Authors: Natalie E Kelso-Chichetto; Michael Plankey; Alison G Abraham; Nicole Ennis; Xinguang Chen; Robert Bolan; Robert L Cook Journal: Am J Drug Alcohol Abuse Date: 2017-06-16 Impact factor: 3.829
Authors: Morgan Byrne; Robert Deiss; Octavio Mesner; Margaret Glancey; Anuradha Ganesan; Jason Okulicz; Karl Kronmann; Ryan Maves; Christina Schofield; Brian Agan; Grace Macalino Journal: Mil Med Date: 2019-05-01 Impact factor: 1.437
Authors: Christopher W Kahler; David W Pantalone; Nadine R Mastroleo; Tao Liu; Gerald Bove; Bharat Ramratnam; Peter M Monti; Kenneth H Mayer Journal: J Consult Clin Psychol Date: 2018-08
Authors: Emily C Williams; Judith A Hahn; Richard Saitz; Kendall Bryant; Marlene C Lira; Jeffrey H Samet Journal: Alcohol Clin Exp Res Date: 2016-09-22 Impact factor: 3.455
Authors: Robert L Cook; Zhi Zhou; Maria Jose Miguez; Clery Quiros; Luis Espinoza; John E Lewis; Babette Brumback; Kendall Bryant Journal: Alcohol Clin Exp Res Date: 2019-07-10 Impact factor: 3.455
Authors: Lauren Lipira; Deepa Rao; Paul E Nevin; Christopher G Kemp; Susan E Cohn; Janet M Turan; Jane M Simoni; Michele P Andrasik; Audrey L French; Joseph M Unger; Patrick Heagerty; Emily C Williams Journal: Drug Alcohol Depend Date: 2019-11-20 Impact factor: 4.492
Authors: Casey D Xavier Hall; Ethan Morgan; Camille Bundy; James E Foran; Patrick Janulis; Michael E Newcomb; Brian Mustanski Journal: AIDS Behav Date: 2021-02-13
Authors: Ariadna Capasso; Jennifer L Brown; Polina Safonova; Nikolay Belyakov; Vadim Rassokhin; Ralph J DiClemente Journal: AIDS Behav Date: 2021-05-20
Authors: Natalie E Chichetto; Suman Kundu; Matthew S Freiberg; John R Koethe; Adeel A Butt; Stephen Crystal; Kaku A So-Armah; Robert L Cook; R Scott Braithwaite; Amy C Justice; David A Fiellin; Maria Khan; Kendall J Bryant; Julie R Gaither; Shirish S Barve; Kristina Crothers; Roger J Bedimo; Alberta Warner; Hilary A Tindle Journal: AIDS Behav Date: 2021-06-08