Screening for hazardous alcohol use in the Emergency Department: Comparison of phosphatidylethanol with the Alcohol Use Disorders Identification Test and the Timeline Follow-back

ZSCAN25 methylation predicts seizures and severe alcohol withdrawal syndrome

Currently, clinicians use their judgement and indices such as the Prediction of Alcohol Withdrawal Syndrome Scale (PAWSS) to determine whether patients are admitted to hospitals for consideration of withdrawal syndrome (AWS). However, only a fraction of those admitted will experience severe AWS. Previously, we and others have shown that epigenetic indices, such as the Alcohol T-Score (ATS), can quantify recent alcohol consumption. However, whether these or other alcohol biomarkers, such as carbohydrate deficient transferrin (CDT), could identify those at risk for severe AWS is unknown. To determine this, we first conducted genome-wide DNA methylation analyses of subjects entering and exiting alcohol treatment to identify loci whose methylation quickly reverted as a function of abstinence. We then tested whether methylation at a rapidly reverting locus, cg07375256, or other existing metrics including PAWSS scores, CDT levels, or ATS, could predict outcome in 125 subjects admitted for consideration of AWS. We found that PAWSS did not significantly predict severe AWS nor seizures. However, methylation at cg07375256 (ZSCAN25) and CDT strongly predicted severe AWS with ATS (p < 0.007) and cg07375256 (p < 6 × 10-5) methylation also predicting AWS associated seizures. We conclude that epigenetic methods can predict those likely to experience severe AWS and that the use of these or similar Precision Epigenetic approaches could better guide AWS management.

Factors associated with higher alcohol concentrations in emergency department presentations: PACE study

INTRODUCTION

The health impact from alcohol is of recognised concern, from acute intoxication as well as increased risk of chronic health issues over time. Identifying factors associated with higher alcohol consumption when presenting to the emergency department (ED) will inform public health policy and enable more targeted health care and appropriate referrals.

METHODS

Secondary testing of blood samples collected during routine clinical care of 1160 ED patients presenting to the Royal Brisbane and Women's Hospital in Queensland, Australia, for 10 days between 22 January and 1 February 2021. Alcohol was measured by blood ethanol (intake in recent hours) and phosphatidylethanol (PEth; intake over 2-4 weeks). Zero-inflated negative binomial regression was used to identify demographic and clinical factors associated with higher alcohol concentrations.

RESULTS

Males were found to have 83% higher blood ethanol and 32% higher PEth concentrations than females (adjusted rate ratio [ARR] 1.83, 95% confidence interval [CI] 1.37-2.45 and ARR 1.32, 95% CI 1.04-1.68, respectively). Blood ethanol concentrations were 3.4 times higher for those 18-44 years, compared to those aged 65+ (ARR 3.40, 95% CI 2.40-4.82) whereas PEth concentrations were found to be the highest in those aged 45-64 years, being 70% higher than those aged 65+ (ARR 1.70, 95% CI 1.19-2.44). Patients brought in involuntarily had eight-times higher blood ethanol concentrations than those who self-attended.

DISCUSSION AND CONCLUSIONS

This study used two alcohol markers to identify factors associated with higher alcohol concentrations in emergency presentations. The findings demonstrate how these biomarkers can provide informative data for public health responses and monitoring of alcohol use trends.