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Exploring Structural Relationships Between Blood Alcohol Concentration and Signs and Clinical Assessment of Intoxication in Alcohol-Involved Injury Cases
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2014 (English)In: Alcohol and Alcoholism, ISSN 0735-0414, E-ISSN 1464-3502, Vol. 49, no 4, 417-422 p.Article in journal (Refereed) Published
Abstract [en]

Aims: Although the relationship between the Y90 (blood alcohol concentration, BAC) and Y91 (clinician intoxication assessment) ICD-10 codes has received attention recently, the role of 10 signs of intoxication in the Y91-Y90 relationship has not been studied yet. This work examines these signs in the estimation of alcohol intoxication levels of patients in medical settings. Methods: Collected and analyzed were data on 1997 injured emergency room patients from 17 countries worldwide reporting drinking prior to injury or presenting with a non-zero BAC from 17 countries worldwide. A model is estimated describing how the 10 signs inform the Y91, Y90 prediction with the goal of the use of observations on patients in place of a biological measure. Results: Signs were consistent with a single underlying construct that strongly predicted Y91. Smell of alcohol on breath predicted Y91 above its contribution through the construct and was stronger for those with tolerance to alcohol than for those without. Controlling for Y91, no sign further contributed to prediction of Y90 indicating that Y91 incorporated all intoxication sign information in predicting Y90. Variance explained was high for Y91 (R-2 = 0.84) and intoxication signs (above 0.72 for all but smell on the breath, 0.57) and lower for Y90 (0.38). Conclusion: Intoxication assessments are well predicted by overall intoxication severity, which itself is well represented by intoxication signs along with differential emphasis on smell of alcohol on breath, especially for those with alcohol tolerance. However, BAC levels remain largely unexplained by intoxication signs with a clinician's assessment serving as the primary predictive measure.

Place, publisher, year, edition, pages
2014. Vol. 49, no 4, 417-422 p.
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URN: urn:nbn:se:su:diva-106574DOI: 10.1093/alcalc/agu014ISI: 000338502700006OAI: diva2:737959


Available from: 2014-08-14 Created: 2014-08-12 Last updated: 2014-08-14Bibliographically approved

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Room, Robin
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Centre for Social Research on Alcohol and Drugs (SoRAD)
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