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Cited 24 time in webofscience Cited 32 time in scopus
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Clinical predictors for delirium tremens in patients with alcohol withdrawal seizures

Authors
Kim, Dong WookKim, Hyun KyungBae, Eun-KeePark, So-HeeKim, Kwang Ki
Issue Date
May-2015
Publisher
W B SAUNDERS CO-ELSEVIER INC
Citation
AMERICAN JOURNAL OF EMERGENCY MEDICINE, v.33, no.5, pp 701 - 704
Pages
4
Indexed
SCIE
SCOPUS
Journal Title
AMERICAN JOURNAL OF EMERGENCY MEDICINE
Volume
33
Number
5
Start Page
701
End Page
704
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/17159
DOI
10.1016/j.ajem.2015.02.030
ISSN
0735-6757
1532-8171
Abstract
Background: Delirium tremens (DT) is the severest form of alcohol withdrawal syndrome, frequently after alcohol withdrawal seizures. Delirium tremens occurs in a small proportion of patients with alcohol withdrawal seizures; nevertheless, early identification of high-risk patients is important for intensive preventive management of unexpected episodes due to agitation and its associated increased mortality. However, there are limited studies on clinical predictors of the development of DT in patients with alcohol withdrawal seizures. Methods: Patients who visited the emergency department with acute seizures were included in the study when alcohol withdrawal was the only or the strongest precipitating factor for seizures. All patients were carefully observed for at least 48 hours in the intensive care unit after the initial assessment to closely monitor vital signs and development of DT. Clinical and laboratory findings were analyzed for predicting the development of DT. Results: Of the 97 patients (82 males; mean age, 48.6 +/- 13.3 years) with alcohol withdrawal seizures, 34 (35.1%) developed DT. Low platelet count, high blood level of homocysteine, and low blood level of pyridoxine were associated with the subsequent development of DT. Low platelet count and high blood level of homocysteine were independent risk factors with high diagnostic sensitivity and specificity for the development of DT. Conclusions: The study indicated that some easily determined parameters are potential clinical predictors for the development of DT in patients with alcohol withdrawal seizures. These findings would be helpful in clinical identification and management patients at high risk for DT. (C) 2015 Elsevier Inc. All rights reserved.
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