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Exploring Structural Relationships Between Blood Alcohol Concentration and Signs and Clinical Assessment of Intoxication in Alcohol-Involved Injury Cases

机译:酒精中毒病例血中酒精浓度与体征之间的结构关系及中毒临床评估

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摘要

>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 (R2 = 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.
机译:>目的:尽管Y90(酒精浓度,BAC)和Y91(临床医师中毒评估)ICD-10编码之间的关系最近受到关注,但在Y91-Y90中10种中毒迹象的作用关系尚未研究。这项工作在评估医疗机构中患者的酒精中毒水平时检查了这些迹象。 >方法:收集并分析了来自全球17个国家/地区的1997年受伤急诊室患者的数据,这些患者报告受伤前饮酒或来自全球17个国家/地区的BAC非零。估计了一个模型,该模型描述了10个标志如何告知Y91,Y90预测,目的是使用对患者的观察结果代替生物学指标。 >结果:信号与强烈预测Y91的单个基础结构一致。酒精呼吸的气味预测Y91高于其通过构建体的贡献,并且对酒精耐受的患者比没有酒精的患者更强。控制Y91,没有迹象进一步有助于预测Y90,表明Y91将所有中毒迹象信息纳入了预测Y90。 Y91的变异性较高(R 2 = 0.84),中毒征象(除呼吸异味外的其他所有物质均高于0.72,0.57),而Y90的中毒迹象较低(0.38)。 >结论:总体中毒严重程度可以很好地预测中毒评估,而中毒严重程度本身就可以很好地表示中毒症状,同时对呼吸中的酒精气味也有不同的重视,特别是对于那些有酒精耐受性的人。但是,中毒症状尚无法解释BAC水平,临床医师的评估是主要的预测指标。

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