Background: Acute ingestion of alcohol impairs cognitive function and poses significant threat to public health and safety with impaired operation of motor vehicles. However, there is a lack of access to tools to assess one's cognitive impairment due to alcohol. The purpose of this study was to explore the use of a neuropsychological assessment software, BrainCheck, to assess levels of alcohol impairment based on performance on the neuropsychological assessments. Methods: We administered the BrainCheck battery to 91 volunteer participants. Participants were required to take a baseline battery prior to any alcohol ingestion, and another testing battery after a voluntary drinking period. Blood alcohol concentration (BAC) for the participant was obtained using a breathalyzer. We performed statistical analysis comparing alcohol vs. non-alcohol performance on the BrainCheck battery, and used significant metrics of these assessments to generate predictive models. Results: Statistical analyses were performed comparing participants performance on the BrainCheck battery before and after alcohol consumption. Comparison was also done comparing performance between an intoxicated group with a BAC > 0.05, and a sober group with a BAC ≤ 0.05. Two assessment metrics were found to be significant among comparison groups after P-value correction, and four test metrics were observed to moderately correlate (|r| > 0.40) with BAC levels. Three linear regression models (least-squares, ridge and LASSO) were built to predict participant BAC levels, with the best performing model being the least-squares model with a RMSE of 0.027. We also built a predictive logistic regression model to detect whether the participant is intoxicated or not, with 80.6% accuracy, 73.3% sensitivity, and 75.0% specificity. Discussion: The BrainCheck battery has potential to predict alcohol impairment, including participant BAC levels and if the participant is intoxicated or not. BrainCheck provides another option to assess an individual's cognitive impairment due to alcohol, with the utility of being portable and available on one's smartphone.

中文翻译：

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使用计算机化的神经认知评估软件检测酒精中毒

背景：急性摄入酒精会损害认知功能，并会因机动车的运行不佳而严重威胁公共健康和安全。但是，缺乏获得评估酒精引起的认知障碍的工具的途径。这项研究的目的是探索使用神经心理学评估软件BrainCheck，根据神经心理学评估的表现评估酒精中毒水平。方法：我们为91名志愿者提供了BrainCheck电池。要求参与者在喝酒前先服用基准电池，在自愿饮酒后再进行测试。使用呼吸测定仪获得参与者的血液酒精浓度（BAC）。我们进行了统计分析，比较了酒精饮料与 BrainCheck电池的非酒精性能，并使用这些评估的重要指标来生成预测模型。结果：进行了统计分析，比较了参与者在饮酒前后使用BrainCheck电池的表现。还进行了比较，比较了BAC> 0.05的中毒组和BAC≤0.05的清醒组的表现。在校正P值后，发现两个评估指标在比较组之间具有重要意义，并且观察到四个测试指标与BAC水平有中度相关（| r |> 0.40）。建立了三个线性回归模型（最小二乘，岭和LASSO）来预测参与者的BAC水平，而表现最佳的模型是最小二乘模型，RMSE为0.027。我们还建立了预测逻辑回归模型，以80.6％的准确性，73.3％的敏感性和75.0％的特异性检测参与者是否陶醉。讨论：BrainCheck电池有潜力预测酒精损害，包括参与者的BAC水平以及参与者是否陶醉。BrainCheck提供了另一种选择来评估个人因酒精引起的认知障碍，具有便携式和可在智能手机上使用的功能。