Risk Factors for Severe Alcohol Withdrawal Syndrome in an Acute Hospital Population

Area of Science:

• Addiction Medicine
• Clinical Research
• Patient Safety

Background:

• Consensus is lacking on factors predicting severe alcohol withdrawal syndrome (SAWS).
• Understanding these predictors is essential for timely intervention and improved patient outcomes.

Purpose of the Study:

• To identify variables associated with the risk of developing SAWS in patients diagnosed with alcohol dependence syndrome.
• To inform the development of risk stratification tools for emergency departments.

Main Methods:

• A retrospective case-control study involving 382 cases and 382 controls.
• Data collected from referrals to an acute addiction liaison nursing service over 12 months.
• Statistical analyses included chi-square, Cramer's V, odds ratio, and Levene's test to determine associations (p < .05).

Main Results:

• Twenty-four variables were associated with SAWS development.
• Five variables showed moderate-to-strong association: Fast Alcohol Screening Test, Glasgow Modified Alcohol Withdrawal Scale score, AWS admission, hours since last drink, and systolic blood pressure.
• Comorbidity was linked to a lower risk of developing SAWS.

Conclusions:

• Noninvasive variables obtainable in the emergency department can effectively identify SAWS risk.
• These findings support the development of a risk stratification tool for emergency settings.
• Further research is planned to refine and implement such a tool.