A Prediction Model for Identifying Alcohol Withdrawal Seizures

Content Provider	Scilit
Author	Morton, W. Alexander Laird, Lyle K. Crane, Douglas F. Partovi, Nilufar Frye, Louise H.
Copyright Year	1994
Description	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.
Related Links	http://www.tandfonline.com/doi/pdf/10.3109/00952999409084058
Ending Page	86
Page Count	12
Starting Page	75
ISSN	00952990
e-ISSN	10979891
DOI	10.3109/00952999409084058
Journal	The American journal of drug and alcohol abuse
Issue Number	1
Volume Number	20
Language	English
Publisher	Informa UK Limited
Publisher Date	1994-01-01
Access Restriction	Open
Subject Keyword	Journal: The American Journal of Drug and Alcohol Abuse Anesthesiology Alcohol Withdrawal Seizures Function Treatment Predictive Model
Content Type	Text
Resource Type	Article
Subject	Clinical Psychology Psychiatry and Mental Health