TY  - JOUR
PY  - 1997//
TI  - Predictive model to identify trauma patients with blood alcohol concentrations > or = 50 mg/dl
JO  - Journal of trauma
A1  - Soderstrom, C. A.
A1  - Kufera, J. A.
A1  - Dischinger, Patricia C.
A1  - Kerns, T. J.
A1  - Murphy, James G.
A1  - Lowenfels, A.
SP  - 67
EP  - 73
VL  - 42
IS  - 1
N2  - OBJECTIVE: To develop a simple model for identification of trauma patients who are likely to have a blood alcohol concentration > or = 50 mg/dL (BAC + 50). METHODS: Demographic, clinical, and BAC data were collected from the clinical trauma registry and toxicology data base at a Level I trauma center. Logistic regression was used to analyze data from 11,206 patients to develop a predictive model, which was validated using a subsequent cohort of 3,523 patients. RESULTS: In the model development cohort, alcohol was detected in the blood of 3,180 BAC-tested patients (28.7%), of whom 91.2% had a BAC + 50 status. Preliminary analysis revealed associations between a BAC + 50 status and sex, age, race, injury type (intentional vs. unintentional), and time of injury (night vs. day and weekend vs. weekday). A predictive model using four attributes (sex and injury type) identified patients at low, medium, and high risk for being BAC + 50. The model was validated using the second group of patients. CONCLUSION: Injured patients with a high probability of being alcohol positive can be identified using a simple scoring system based on readily available demographic and clinical information.<p /> <p>Language: en</p>
LA  - en
SN  - 0022-5282
UR  - http://dx.doi.org/
ID  - ref1
ER  -