Predicting outcome of status epilepticus

Area of Science:

• Neurology
• Clinical Medicine
• Medical Informatics

Background:

• Status epilepticus (SE) is a critical neurological emergency with high mortality and poor outcomes for survivors.
• Predicting patient outcomes in SE is crucial for effective management and treatment strategies.

Purpose of the Study:

• To review and compare existing clinical scores for predicting outcomes in status epilepticus.
• To identify the most effective score for risk stratification and individual outcome prediction.

Main Methods:

• A literature review was conducted using PubMed with search terms 'score', 'outcome', and 'status epilepticus'.
• Included were publications with English abstracts, without language or patient restrictions.
• Two scores, STESS and EMSE, were identified and comprehensively compared.

Main Results:

• The Epidemiology based Mortality score in SE (EMSE) demonstrated superiority over the Status Epilepticus Severity Score (STESS).
• EMSE allows detailed individual risk factor assessment and is more accurate in predicting both good and bad outcomes.
• STESS has limitations, including a ceiling effect for predicting bad outcomes and uncertainty in its cutoff value.

Conclusions:

• EMSE is recommended for individual outcome prediction and risk stratification in SE studies due to its superior performance.
• STESS is simpler to perform but has lower predictive value, especially for good outcomes.
• Further prospective validation of EMSE in diverse cohorts and STESS in varied etiologies is recommended.