Volume 22, Issue 1 pp. 79-85
Original Article

Early predictors of refractory status epilepticus: an international two-center study

R. Sutter

Corresponding Author

R. Sutter

Clinic of Intensive Care Medicine, University Hospital Basel, Basel, Switzerland

Division of Clinical Neurophysiology, Department of Neurology, University Hospital Basel, Basel, Switzerland

Division of Neuroscience Critical Care, Department of Anesthesiology, Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA

Department of Neurology, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA

Correspondence: R. Sutter, Intensive Care Units, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland (tel.: +41 (0)61 265 25 25; fax: +41 (0)61 265 56 83; e-mail: [email protected]).Search for more papers by this author
P. W. Kaplan

P. W. Kaplan

Department of Neurology, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA

Search for more papers by this author
S. Marsch

S. Marsch

Clinic of Intensive Care Medicine, University Hospital Basel, Basel, Switzerland

Search for more papers by this author
E. M. Hammel

E. M. Hammel

Clinic of Intensive Care Medicine, University Hospital Basel, Basel, Switzerland

Search for more papers by this author
S. Rüegg

S. Rüegg

Division of Clinical Neurophysiology, Department of Neurology, University Hospital Basel, Basel, Switzerland

Search for more papers by this author
W. C. Ziai

W. C. Ziai

Division of Neuroscience Critical Care, Department of Anesthesiology, Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA

Search for more papers by this author
First published: 07 August 2014
Citations: 40

Abstract

Background and purpose

Status epilepticus (SE) refractory to first- and second-line antiepileptic drugs carries high mortality. Little is known on early prediction of refractory SE (RSE) – an essential tool for planning appropriate therapy. Our aim was to identify and validate independent early RSE predictors in adults.

Methods

Clinical and laboratory data on consecutive intensive care unit patients with SE from two academic care centers (a derivation data set from a Swiss center and a validation data set from a US center) were assessed. Multivariable analysis was performed with the derivation set to identify RSE predictors at SE onset. Their external validity was evaluated with an independent validation set. Measures of calibration and discrimination were assessed.

Results

In all, 302 patients were analyzed (138 with and 164 without RSE), 171 in the derivation data set and 131 in the validation data set. Acute SE etiology, coma/stupor and serum albumin <35 g/l at SE onset were independent predictors for RSE in the derivation data set [odds ratio (OR) 2.02, 95% confidence interval (CI) 1.01–4.07; OR 4.83, 95% CI 2.42–9.68; OR 2.45, 95% CI 1.16–5.16]. The prediction model showed good measures of calibration (Hosmer–Lemesow goodness-of-fit test P = 0.99) and discrimination (area under the receiver operating characteristic curve 0.8) on the derivation data set - results that were similar in the validation data set (Hosmer–Lemeshow P = 0.24; area under the receiver operating characteristic curve 0.73).

Conclusions

This study confirms the independent prognostic value of readily available parameters for early RSE prediction. Prospective studies are needed to identify additional robust predictors, which could be added to the proposed model for further optimization towards a reliable prediction scoring system.

The full text of this article hosted at iucr.org is unavailable due to technical difficulties.