Alcohol use and dysglycemia among people living with human immunodeficiency virus (HIV) in the Alcohol & Metabolic Comorbidities in PLWH: Evidence Driven Interventions (ALIVE-Ex) study

Stefany D Primeaux, Liz Simon, Tekeda F Ferguson, Danielle E Levitt, Meghan M Brashear, Alice Yeh, Patricia E Molina, Stefany D Primeaux, Liz Simon, Tekeda F Ferguson, Danielle E Levitt, Meghan M Brashear, Alice Yeh, Patricia E Molina

Abstract

Background: At-risk alcohol use is a common and costly form of substance misuse that is highly prevalent among people living with HIV (PLWH). The goal of the current analysis was to test the hypothesis that PLWH with at-risk alcohol use are more likely to meet the clinical criteria for prediabetes/diabetes than PLWH with low-risk alcohol use.

Methods: A cross-sectional analysis was performed on measures of alcohol and glycemic control in adult PLWH (n = 105) enrolled in a prospective, interventional study (the ALIVE-Ex Study (NCT03299205)) that investigated the effects of aerobic exercise on metabolic dysregulation in PLWH with at-risk alcohol use. The Alcohol Use Disorders Identification Test (AUDIT), Timeline Followback, and phosphatidylethanol (PEth) level were used to measure alcohol use. Participants were stratified into low-risk (AUDIT score < 5) and at-risk alcohol use (AUDIT score ≥ 5). All participants underwent an oral glucose tolerance test and measures of glycemic control- the Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) and Matsuda Index - were correlated with alcohol measures and compared by AUDIT score group using mixed-effects linear and logistic regression models, adjusting for age, sex, race, body mass index (BMI), and viral load.

Results: In response to the glucose challenge, participants with at-risk alcohol use (n = 46) had higher glucose levels and were five times more likely to meet criteria for prediabetes/diabetes (OR: 5.3 (1.8, 15.9)) than participants with an AUDIT score < 5. Two-hour glucose values were positively associated with AUDIT score and PEth level and a higher percentage of PLWH with at-risk alcohol use had glucose values ≥140 mg/dl than those with low-risk alcohol use (34.8% vs. 10.2%, respectively).

Conclusion: In this cohort of PLWH, at-risk alcohol use increased the likelihood of meeting the clinical criteria for prediabetes/diabetes (2-h glucose level ≥140 mg/dl). Established determinants of metabolic dysfunction (e.g., BMI, waist-hip ratio) were not associated with greater alcohol use and dysglycemia, suggesting that other mechanisms may contribute to the impaired glycemic control observed in this cohort.

Keywords: HIV; OGTT; at-risk alcohol use; dysglycemia; glycemic control.

Conflict of interest statement

The authors declare no conflicts of interest.

© 2021 Research Society on Alcoholism.

Figures

Figure 1:
Figure 1:
Assessment of circulating glucose values following an Oral Glucose Tolerance Test in the ALIVE-Ex Study (2018–2020). A. Glucose levels in the OGTT were higher in PLWH with at-risk alcohol use compared to PLWH with low-risk alcohol use. B. 2-hour glucose levels were significantly higher in PLWH with an AUDIT ≥ 5. C. The percentage of participants with 2-hour glucose levels ≥ 140mg/dL, which is indicative of prediabetes/diabetes. Data shown as mean ± SEM, *p<.05.
Figure 2:
Figure 2:
Scatter plots and unadjusted linear regression analyses of Alcohol Use Disorder Identification Test (AUDIT) scores and measures of glycemic control in PLWH in the ALIVE-Ex Study (2018–2020). A. Circulating glucose levels at 2-hours following oral glucose tolerance tests (OGTT) were positively associated with AUDIT score. B. Circulating 2-hour glucose levels were positively associated with PEth values. C. Circulating 2-hour glucose levels were not associated with TLFB (g). *p<.05, unadjusted.
Figure 3:
Figure 3:
Odds ratios of glucose, insulin, C-peptide at 2-hours following Oral Glucose Tolerance Tests and Matsuda Index by alcohol measures in the ALIVE-Ex Study (2018–2020). Open symbols represent the unadjusted odds ratio and closed symbols represent odds ratio adjusted for age, sex, race, body mass index (BMI), and viral load. * p<.05 unadjusted adjusted for age sex race bmi viral load.>

Source: PubMed

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