Background: Prediction of the functional outcome for patients with convulsive status epilepticus (CSE) has been a challenge. The aim of this study was to characterize the prognostic factors and functional outcomes of patients after CSE in order to develop a practicable scoring system for outcome prediction.

Methods: We performed a retrospective explorative analysis on consecutive patients diagnosed with CSE between March, 2008 and November, 2014 in a tertiary academic medical center in northwest China. The modified Rankin Scale (mRS) was used to measure the functional outcome at three months post discharge.

Results: A total of 132 CSE patients was included, with a median age of 25.5 years and 60.6% were male. Three months post discharge, an unfavorable outcome with mRS of 3-6 was seen in 62 (47.0%) patients, 25 (18.9%) of whom died. Logistic regression analysis revealed that encephalitis (p = 0.029), nonconvulsive SE (p = 0.018), diazepam resistance (p = 0.005), image abnormalities (unilateral lesions, p = 0.027; bilateral lesions or diffuse cerebral edema, p < 0.001) and tracheal intubation (p = 0.032) were significant independent predictors for unfavorable outcomes. Based on the coefficients in the model, these predictors were assigned a value of 1 point each, with the exception of the image, creating a 6-point scoring system, which we refer to as END-IT, for the outcome prediction of CSE. The area under the receiver operating characteristic curve for the END-IT score was 0.833 and using a cut-off point of 3 produced the highest sum sensitivity (83.9%) and specificity (68.6%). Compared with status epilepticus severity score (STESS) and Epidemiology-based Mortality score in SE (EMSE), END-IT score showed better discriminative power and predictive accuracy for the outcome prediction.

Conclusions: We developed an END-IT score with a strong discriminative power for predicting the functional outcome of CSE patients. External prospective validation in different cohorts is needed for END-IT score.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768332PMC
http://dx.doi.org/10.1186/s13054-016-1221-9DOI Listing

Publication Analysis

Top Keywords

end-it score
20
functional outcome
16
status epilepticus
12
prediction functional
8
outcome
8
outcome patients
8
patients convulsive
8
convulsive status
8
scoring system
8
three months
8

Similar Publications

If we visit famous and iconic landmarks, we may want to take a photo of them. However, such sites are usually crowded, and taking photos with only landmarks without people could be challenging. This paper aims to automatically remove people in a picture and produce a natural image of the landmark alone.

View Article and Find Full Text PDF

Wearable EEG enables us to capture large amounts of high-quality sleep data for diagnostic purposes. To make full use of this capacity we need high-performance automatic sleep scoring models. To this end, it has been noted that domain mismatch between recording equipment can be considerable, e.

View Article and Find Full Text PDF

Artificial intelligence (AI) chatbots, such as ChatGPT, have widely invaded all domains of human life. They have the potential to transform healthcare future. However, their effective implementation hinges on healthcare workers' (HCWs) adoption and perceptions.

View Article and Find Full Text PDF

The growing tendency towards 'urbanization' is promoting an increase in resource consumption and waste generation, which requires proper waste separation management with active participation of the population. To this end, it is essential to know the personal modifiable factors that predict recycling. The primary aim of the present study is to develop and evaluate the psychometric properties of a Spanish language questionnaire designed to measure determinants of household waste separation for recycling purposes (ReDom Questionnaire).

View Article and Find Full Text PDF
Article Synopsis
  • Objective: The study evaluated the effectiveness of three prognostic scores (STESS, EMSE-EACE, and END-IT) in forecasting outcomes for patients experiencing status epilepticus (SE) in the neurology ICU, focusing on mortality and functional decline.
  • Methods: Researchers reviewed data from neurology ICU patients with SE who required continuous EEG monitoring over ten years and applied the prognostic scores, analyzing their ability to predict outcomes using ROC analysis.
  • Results: Out of 85 patients, 36.5% experienced inpatient mortality and 78.8% had functional decline, with STESS and EMSE-EACE demonstrating acceptable predictive value for mortality, while all three scores performed poorly in predicting functional outcomes at discharge.
View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!