Trauma center admission risk conditions and the probability for developing alcohol withdrawal syndrome: A...

Because the proportion of trauma patients developing alcohol withdrawal syndrome (AWS) is low, AWS risk conditions have not been precisely delineated. We aimed to create multifactor screening strategies to assess probabilities for the likelihood of developing AWS.

We performed a retrospective chart review of 1,011 trauma patients admitted to a Level I trauma center to investigate the associations between AWS and probable AWS risk conditions. Included patients were adults who met trauma registry inclusion criteria and had blood alcohol concentration (BAC) testing performed. Patients were excluded if they had a traumatic brain injury with a Glasgow Coma Score (GCS) ≤ 8, or no BAC testing performed. We defined heavy drinking as daily drinking or >7 per week.

AWS had univariate associations with heavy drinking history, Injury Severity Score (ISS) ≥15, psychiatric disorders, liver disease, smoking history, in-hospital bronchodilator administration, age ≥45, male sex, Intensive Care Unit (ICU) admission, serum aspartate aminotransferase (AST) ≥40 U/L, and cognitive preservation (GCS ≥13 with BAC ≥100 mg/dL) (all, p < 0.05). ICU admission, AST ≥40 U/L, cognitive preservation, male sex, and age ≥45 had associations with ISS ≥15 or alcohol misuse (all, p < 0.0001). For patients with age ≥45 and heavy drinking history or age <45 and heavy drinking history with ISS ≥15 and ICU admission, the AWS proportion (15.3%) was greater in comparison to other patients (0.3%). The AWS risk score was the sum of the following nine conditions, assigned a zero when the condition was absent and one when present (range 0-9): ISS ≥15, psychiatric disorders, liver disease, smoking history, in-hospital bronchodilator administration, age ≥45, male sex, AST ≥40 U/L, and cognitive preservation. The AWS proportion was greater with a risk score of 5-9 (16.8%) than of 0-4 (1.2%; p < 0.0001).

AWS in the setting of traumatic injury is associated with multiple risk conditions. The presence of multiple risk conditions might have additive effects that could contribute toward a clinical manifestation of AWS. The identified risk conditions may be associated with a hyperadrenergic state.