Morton W A, Laird L K, Crane D F, Partovi N, Frye L H
Department of Hospital Pharmacy Practice and Administration, Medical University of South Carolina, Charleston 29425.
Am J Drug Alcohol Abuse. 1994;20(1):75-86. doi: 10.3109/00952999409084058.
A retrospective review of alcohol withdrawal seizures was performed at a private chemical-dependence treatment facility to help identify patients who were at high risk for having a seizure. Patients were identified by two means: controlled substance records were reviewed to determine patients having received intramuscular phenobarbital, and patient charts were reviewed for all patients with a discharge diagnosis of a seizure disorder. Two thousand and one patient records were reviewed; alcohol withdrawal seizure patients were identified. Twenty-eight randomly selected nonseizure patient records served as controls. The statistical test consisted of a discriminant function analysis. The data yielded a statistically significant predictive model for alcohol withdrawal seizures based on six interdependent patient variables which will be helpful in treating future patients undergoing alcohol withdrawal.
在一家私立化学药物依赖治疗机构对酒精戒断性癫痫发作进行了回顾性研究，以帮助识别有癫痫发作高风险的患者。通过两种方式识别患者：审查管制药物记录以确定接受过肌肉注射苯巴比妥的患者，并查阅所有出院诊断为癫痫障碍患者的病历。共审查了2001份患者记录；确定了酒精戒断性癫痫发作患者。随机选择28份无癫痫发作患者的记录作为对照。统计检验包括判别函数分析。数据得出了一个基于六个相互关联的患者变量的、具有统计学意义的酒精戒断性癫痫发作预测模型，这将有助于治疗未来正在接受酒精戒断治疗的患者。
