Will This Hospitalized Patient Develop Severe Alcohol Withdrawal Syndrome?: The Rational Clinical Examination...

Area of Science:

• Clinical Medicine
• Pharmacology
• Public Health

Background:

• Severe alcohol withdrawal syndrome (SAWS) presents significant morbidity and mortality risks.
• Early identification of patients at high risk for SAWS is critical for timely intervention.
• Most at-risk patients do not develop SAWS, necessitating accurate predictive measures.

Purpose of the Study:

• To evaluate the accuracy and predictive value of various symptoms and signs in identifying hospitalized patients at risk of SAWS.
• To assess the utility of risk assessment tools in predicting severe alcohol withdrawal.
• To define SAWS as delirium tremens, withdrawal seizure, or clinically diagnosed severe withdrawal.

Main Methods:

• A systematic literature search of MEDLINE and EMBASE databases (1946-January 2018) was conducted.
• Included studies compared symptoms, signs, and risk assessment tools in patients with and without SAWS.
• Meta-analysis was used to calculate likelihood ratios (LRs), sensitivity, and specificity for predictive factors.

Main Results:

• 14 high-quality studies involving 71,295 patients were analyzed.
• A history of delirium tremens (LR, 2.9) and baseline systolic blood pressure ≥140 mm Hg (LR, 1.7) increased SAWS likelihood.
• The Prediction of Alcohol Withdrawal Severity Scale (PAWSS) demonstrated high utility (LR 174 for ≥4 findings; LR 0.07 for ≤3 findings).

Conclusions:

• Combined assessment tools are effective in identifying patients at risk for SAWS.
• The PAWSS tool shows significant promise for risk stratification in acute care settings.
• Further validation of these tools is needed to enhance generalizability.