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Figures

Fig. 1

Algorithm for enrollment of patients with alcohol withdrawal seizures; IV, intravenous.

Fig. 2

Receiver operating characteristic curve for blood homocysteine and platelet count in patients with and without DT (for homocysteine, AUC: 0.788; SE: 0.058; P = .0001; 95% confidence interval: 0.681-0.872; for platelet, AUC: 0.716; SE: 0.052; P = .0001; 95% confidence interval: 0.615-0.804). A comparison of the area under the ROC curve did not show statistical difference of the 2 parameters (P = .500).

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.

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This work was supported by Konkuk University.

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