Prediction of functional outcome in patients with convulsive status epilepticus: the END-IT score

Comparison of the three scoring models (STEPSS, mSTEPSS, and END-IT) for outcome characteristics in a pediatric status epilepticus cohort

BACKGROUND

Various scoring models have been developed to predict outcomes in pediatric status epilepticus (SE) OBJECTIVES: To compare a set of scoring models for predictivity of outcome characteristics in a single-center pediatric SE cohort.

PATIENTS AND METHODS

Three SE scoring models (STEPSS, mSTEPSS, and END-IT) were retrospectively evaluated for outcome characteristics in a cohort including 240 children. The areas under curves (AUC) were calculated for the models: short-term outcome with in-hospital mortality, progression to refractory / super-refractory SE, poor outcome at hospital discharge with modified Rankin scale (mRS), and long-term functional outcome with the scores of pediatric overall performance category (POPC) scale at 2-years of follow-up.

RESULTS

The mean age was 64.8 ± 53.9 (1-216) months and 59.2 % of the patients were male. The refractory or super-refractory SE was observed in 100 patients of 240 (41.7 %) patients. A non-convulsive status epilepticus developed in 2.1 % (n = 5) of the patients during follow-up. Fifty-seven patients (23.7 %) received a new diagnosis of epilepsy. In-hospital mortality was 2.5 % in the whole cohort. A poor primary outcome was defined in 64 (26.7 %) with a POPC score ≥ 3. Among three scoring models, the END-IT provided a moderate predictivity for in-hospital mortality, progression to refractory/super-refractory SE, poor outcome at hospital discharge with mRS, and POPC score ≥ 3, AUCs were 0.815, 0.715, 0.742 and 0.720, respectively.

CONCLUSION

The END-IT scoring model is a practical and reliable tool for outcome prediction in the intensive care unit as well as the poor outcome at hospital discharge and functional outcome at 2 years of follow-up.

Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M3A2S2H Score

PurposeThis study aimed to investigate in-patient mortality and predictors of death associated with convulsive status epilepticus (CSE) in a large nationwide cohort and create a simplified predictive score for in-hospital mortality.MethodsRetrospective data from the National Inpatient Sample (NIS) database between 2007 and 2014 were analyzed, including 123,082 adults with CSE. Univariate logistic testing identified admission variables, neurological and medical complications associated with mortality. A simplified clinical prediction score, called M3A2S2H, was generated using variables that were frequent (>1%) and had a significant impact on mortality.ResultsThe overall hospital mortality rate was 3.5%. Univariate analysis revealed that older age, female gender, past medical history, and acute hospital conditions were related to mortality. After reclassification, a final multivariable model with 27 clinical variables was constructed, and the eight strongest predictors were included in the M3A2S2H score: hypoxic-ischemic encephalopathy/cardiac arrest (2 points); age >60 years, acute symptomatic CSE, invasive mechanical ventilation, sepsis, metastases, and chronic liver failure (all 1 point); and medication nonadherence (-1 point). The mortality rate among patients with ≤0, 1, 2, 3, 4, or ≥5 of these risk factors progressively increased from 0.2%, 2.1%, 7.8%, 20.3%, 31.9%, to 50.0% (P < 0.0001). Additionally, a similar stepwise trend was observed regarding discharge to a facility versus home without services (P < 0.0001).ConclusionsThis study demonstrates that mortality in CSE cases occurs in 3.5% of adult hospital admissions. Identification of specific acute and chronic conditions using the standardized M3A2S2H score can help predict the risk of death or disability even in hospitals without advanced brain monitoring.

Development of a nomogram model for early prediction of refractory convulsive status epilepticus

INTRODUCTION

We aim to identify risk factors that predict refractory convulsive status epilepticus (RCSE) and to develop a model for early recognition of patients at high risk for RCSE.

METHODS

This study involved 200 patients diagnosed with convulsive status epilepticus (CSE), of whom 73 were RCSE and 127 were non-RCSE. Variables included demographic information, lifestyle factors, medical history, comorbidities, clinical symptoms, neuroimaging characteristics, laboratory tests, and nutritional scores. A predictive model was developed through multivariable logistic regression analysis. The model's predictive performance and clinical utility were evaluated using various metrics, including the area under the receiver operating characteristic (AUROC) curve, GiViTI calibration belt, and decision curve analysis (DCA). Additionally, we performed internal five-fold cross-validation for this model.

RESULTS

We developed a nomogram model with six predictors: age ≤ 40 years, prior history of epilepsy, presence of epileptic foci, duration of CSE > 30 min, c-reactive protein > 6 mg/L, and nutritional risk screening ≥ 3 points. Our model has a high AUROC (0.838) and good consistency (P = 0.999). In DCA, the curve of our model exhibits a positive net benefit across the entire range of threshold probabilities. Moreover, our model achieved an accuracy of 0.778 and a Kappa value of 0.519 in the five-fold cross-validation.

CONCLUSION

We developed an objective, simple and accessible model to assess the risk of RCSE. This model shows promise as a valuable tool for evaluating the individual risk of RCSE.

Hypoalbuminemia in status epilepticus is a biomarker of short- and long-term mortality: A 9-year cohort study

BACKGROUND

Outcome prediction in Status epilepticus (SE) aids in clinical decision-making, yet existing scores have limitations due to SE heterogeneity. Serum albumin is emerging as a readily available prognostic biomarker in various clinical conditions. This study evaluates hypoalbuminemia in predicting short- and long-term mortality.

METHODS

Observational cohort study including non-hypoxic SE adult patients admitted to the University Hospital of Geneva (Switzerland) between 2015 and 2023. Primary outcomes were in-hospital and 6-month mortality.

RESULTS

Four hundred and ninety-six patients were included, 46 (9.3%) died in hospital; 6-month outcome was available for 364 patients, 86 (23.6%) were not alive at follow-up. Hypoalbuminemia was associated with older age and patients' comorbidities. Binomial regression showed an independent correlation between hypoalbuminemia and short- (p = 0.005, OR = 3.35, 95% CI = 1.43-7.86) and long-term mortality (p = 0.001, OR = 3.59,95% CI = 1.75-7.35). The Status Epilepticus Severity Score (STESS) had an overall AUC of 0.754 (95% CI = 0.656-0.836) for predicting in-hospital mortality and of 0.684 (95% CI = 0.613-0.755) for 6-month mortality. Through an exploratory analysis, we replaced age with hypoalbuminemia in the STESS, creating the Albumin-STESS (A-STESS) score (0-6). The global A-STESS AUC significantly improved for both in-hospital (0.837, 95% CI = 0.760-0.916, p = 0.002) and 6-month (0.739, 95% CI = 0.688-0.826; p = 0.033) mortality prediction. A-STESS-3 cutoff demonstrated a strong sensitivity-specificity balance for both in-hospital (sensitivity = 0.88, specificity = 0.68, accuracy = 0.70) and 6-month (sensitivity = 0.67, specificity = 0.73, accuracy = 0.72) mortality.

CONCLUSIONS

Hypoalbuminemia is an easily measurable biomarker reflecting the overall patient's condition and is independently related to short- and long-term SE mortality. Integrating hypoalbuminemia into the STESS (A-STESS) significantly enhances mortality prediction. Future studies are needed to externally validate the A-STESS and evaluate the benefits of albumin supplementation in SE patient prognosis.

Impact of social factors on the outcome of status epilepticus

In this review we look at the evidence of the impact of social factors, both inherent and external on the prognosis of status epilepticus (SE). Specifically, we look at the impact of gender, ethnicity, educational level and social deprivation on the incidence and prognosis of SE. We found evidence of clear differences in SE incidence and mortality by ethnicity (at least in the United States) with the highest incidence and lowest mortality rates in black populations. One study was identified which demonstrated a clear association of low educational attainment and increased mortality in epilepsy but not specifically SE. Similarly, there was evidence of a clear association (in adults) between social deprivation and epilepsy but again not specifically SE. Finally, there was weak evidence that social deprivation/lower economic status may be associated with higher SE mortality but this may be explained by other factors. This paper was presented at the 9th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in April 2024.

Brain damage caused by status epilepticus: A prospective MRI study

BACKGROUND

Status epilepticus (SE) is a severe neurological condition that might lead to long-term consequences such as neuronal death. This study investigated whether SE leads to brain volume loss by characterizing the dynamic of peri-ictal MRI abnormalities (PMA) through follow-up MRIs and assessing whether SE duration and specific outcome characteristics are associated with brain atrophy.

METHODS

A prospective single-center cohort study enrolled 590 adult patients with definitive or possible SE. MRI in an acute setting was performed in 353/590 (60 %) patients. Follow-up MRIs at one week and one month were conducted to assess the reversibility of PMA. Measurements of diffuse brain volume were performed by employing a voxel-based morphometry with FreeSurfer, comparing an initial MRI with a follow-up test done four weeks after the initial one. The study analyzed the correlation between brain volume loss, SE duration, and clinical outcomes.

RESULTS

PMA were observed in 156/353 (44 %) patients in at least one MRI sequence. In 44/83 (53 %) patients, PMA were reversible in one week. PMA persisted in 39/83 (47 %) patients. A second follow-up MRI was performed four weeks after the initial MRI in 33/39 (85 %) patients. In 14/33 (42 %), the MRI showed signs of focal atrophy, mostly in hippocampus. Volumetric analysis performed in patients who underwent two follow-up MRIs, indicated that 85 % of patients (28/33) had a decreased diffuse brain volume, with a median volume reduction of 16 %. A moderate negative correlation was found between diffuse brain volume and SE duration (Spearman correlation: -0.57) as well as hospitalization length (Spearman correlation: -0.60). This indicates that longer SE duration and extended hospitalization were associated with a greater brain volume loss.

CONCLUSION

In this prospective study, a proportion of patients displayed cerebral volume loss following a SE. These patients had longer duration and worse outcome of SE. However, the findings should be interpreted with caution due to several limitations, including the lack of consideration for underlying etiologies that may contribute to volume loss.

Mortality and morbidity of status epilepticus over the long term

Status epilepticus is associated with high mortality and morbidity, both in the acute phase and over the long term. However, the long-term outcome of SE is not well studied, and there is no consensus on how to measure and predict it. Moreover, the factors that influence the long-term outcome of SE are complex and multifactorial, and may vary depending on the patient's characteristics, the SE etiology and type, and the treatment and complications. The aim of this article is to review the current literature on the mortality and morbidity of SE over the long term and to discuss the challenges and perspectives for future research. Proceedings of the 9th London-Innsbruck Colloquium on Status Epilepticus and acute seizures.

Regional determinants for outcome and cost of status epilepticus

OBJECTIVE

Status epilepticus (SE) requires informed management. Since regional differences exist in practice and outcome, we aimed to characterize the epidemiology of SE and identify the factors associated with cost-effective management at the sole level IV epilepsy center of Central New York (CNY).

METHODS

We searched for patients aged 18 years or older admitted at our center's hospitals from February 2018 to November 2019 with the discharge diagnosis of SE. Seventy-seven individuals with definite SE were included. We constructed models to determine the main factors that impact the refractoriness of SE, the clinical outcome, and the estimated cost of hospitalization.

RESULTS

The rate of SE-related disability was 20.8% and the all-cause mortality 36.4%. Our analysis showed that initial anti-seizure medication (ASM) choice did not have a significant influence on the clinical outcome; nor did it affect the refractoriness of SE. Likewise, our anesthetic regimen did not alter the disease course or outcome. In line with prior studies, we demonstrated that age carried a negative predictive value to the SE-related disability and mortality (CI95% [-0.02, 0], p < 0.001). Interestingly, we found that use of midazolam (CI95% [-20.8, -0.08], p = 0.05) and anoxic brain injury as the underlying etiology (CI95% [-33.5, -1.59], p = 0.03) were marginally associated with shorter hospitalizations and reduced cost. The latter might reflect the rapidly-deteriorating course of anoxic brain injury, complicated by its higher likelihood of refractoriness (CI95% [0.14, 0.79], p = 0.006), and consequently, the decision to withdraw care.

CONCLUSION

Taken together, we described the demographics, management, and prognosis of SE locally and further defined the potential determinants for the cost-effective care. We found that similar to other studies, age was the main determinant factor in prognosis. We also noticed that midazolam usage was associated with shorter hospital stay, suggesting that strategic use of midazolam may reduce the direct cost of management of SE. These findings can be adopted to optimize SE management in CNY.

Mortality of Epilepsy in Chinese Populations: A Comprehensive Review

BACKGROUND

Premature mortality is a significant part of the epilepsy burden and may vary across populations, especially between high-income and lower- and middle-income countries. People with epilepsy in China are approximately a fifth of the global population with epilepsy. Previous studies were unlikely to represent the situation in China due to limitations in design, methods, sample size, follow-up time, and other inherent population heterogeneity.

SUMMARY

By summarising the evidence on the mortality characteristics in Chinese populations with epilepsy in the last 6 decades, we found a median mortality rate of 14.7 (6.8-74.4)/1,000 person-years and a median standardised mortality ratio (SMR) of 4.4 (2.6-12.9) in population-based studies, and a median mortality rate of 12.3 (9.5-101.5)/1,000 person-years and a median SMR of 3.0 (1.5-5.1) in hospital-based studies. Vascular diseases, complications of diabetes, and accidental injuries were the leading causes of death. Risk factors for mortality were reported as older age, male, longer duration, and higher frequency of seizures. Case fatality ratios of status epilepticus in adults were higher than in children, and both increased with follow-up time. Mortality in people with symptomatic epilepsy was high and varied across different primary diseases.

KEY MESSAGES

The highest mortality rate and sudden unexpected death in epilepsy (SUDEP) incidence were reported from the least developed areas in China. Accidental injuries were the most common causes of epilepsy-related deaths, while the incidence of SUDEP may be underestimated in Chinese populations. Further research is warranted to improve the understanding of premature mortality risk so that preventative measures can be introduced to improve the situation.

Remote seizures and drug-resistant epilepsy after a first status epilepticus in adults

BACKGROUND AND PURPOSE

Long-term consequences after status epilepticus (SE) represent an unsettled issue. We investigated the incidence of remote unprovoked seizures (RS) and drug-resistant epilepsy (DRE) in a cohort of first-ever SE survivors.

METHODS

A retrospective, observational, and monocentric study was conducted on adult patients (age ≥ 14 years) with first SE who were consecutively admitted to the Modena Academic Hospital, Italy (September 2013-March 2022). Kaplan-Meier survival analyses were used to calculate the probability of seizure freedom following the index event, whereas Cox proportional hazard regression models were used to identify outcome predictors.

RESULTS

A total of 279 patients were included, 57 of whom (20.4%) developed RS (mean follow-up = 32.4 months). Cumulative probability of seizure freedom was 85%, 78%, and 68% respectively at 12 months, 2 years, and 5 years. In 45 of 57 patients (81%), the first relapse occurred within 2 years after SE. The risk of RS was higher in the case of structural brain damage (hazard ratio [HR] = 2.1, 95% confidence interval [CI] = 1.06-4.01), progressive symptomatic etiology (HR = 2.7, 95% CI = 1.44-5.16), and occurrence of nonconvulsive evolution in the semiological sequence of SE (HR = 2.9, 95% CI = 1.37-6.37). Eighteen of 57 patients (32%) developed DRE; the risk was higher in the case of super-refractory (p = 0.006) and non-convulsive SE evolution (p = 0.008).

CONCLUSIONS

The overall risk of RS was moderate, temporally confined within 2 years after the index event, and driven by specific etiologies and SE semiology. Treatment super-refractoriness and non-convulsive SE evolution were associated with DRE development.

Clinician-Reported Physical and Cognitive Impairments After Convulsive Status Epilepticus: Post Hoc Study of a Randomized Controlled Trial

BACKGROUND

Clinician-reported outcome (ClinRO) measures are emerging as useful contributors to assessments of treatment benefits. The objective of this study was to collect ClinRO measures of physical and cognitive impairments after convulsive status epilepticus (CSE) requiring intensive care unit admission.

METHODS

We conducted a post hoc analysis of the data from HYBERNATUS, a multicenter open-label controlled trial that randomized 270 critically ill patients with CSE requiring mechanical ventilation in 11 French intensive care units to therapeutic hypothermia (32-34 °C for 24 h) plus standard care or standard care alone. We included all patients who attended a day 90 in-person neurologist visit with measurement of the functional independence measure (FIM) score (range from 18 [total assistance] to 126 [total independence]), Mini-Mental State Examination (MMSE) score (range 0-30), and Glasgow outcome scale (GOS) score (1, death; 2, vegetative state; 3, severe disability; 4, moderate disability; and 5, mild or no disability). These three scores were compared across groups defined by several patient and CSE characteristics.

RESULTS

Of 229 patients with GOS scores ≥ 3 on day 90 (male sex, 58.2%; median age, 56 years [47-67]), 67 (29%) attended an in-person neurologist visit. Twenty-nine (43%) patients had a previous history of epilepsy, and 16 (24%) patients had a primary brain insult. CSE was refractory in 22 (33%) patients. On day 90 after CSE onset, median FIM and MMSE scores were 121 (112-125) and 26.0 (24.0-28.8), respectively. The GOS score was 3 in 16 (33.8%) patients, 4 in 9 (13.4%) patients, and 5 in 42 (62.7%) patients. Worse GOS score values were significantly associated with worse FIM and MMSE scores.

CONCLUSIONS

In patients attending the in-person neurologist visit on day 90 after CSE onset, ClinRO measures indicated that the main impairments were cognitive. FIM and MMSE scores were associated with GOS scores. Further studies are needed to evaluate the possible impact of neuroprotective and rehabilitation strategies on disability and cognitive impairments in survivors of CSE. Clinical trial registration NCT01359332.

Prediction of early bladder outcomes after spinal cord injury: The HALT score

AIMS

Neurogenic bladder (NB) is a prevalent and debilitating consequence of spinal cord injury (SCI). Indeed, the accurate prognostication of early bladder outcomes is crucial for patient counseling, rehabilitation goal setting, and personalized intervention planning.

METHODS

A retrospective exploratory analysis was conducted on a cohort of consecutive SCI patients admitted to a rehabilitation facility in China from May 2016 to December 2022. Demographic, clinical, and electrophysiological data were collected within 40 days post-SCI, with bladder outcomes assessed at 3 months following SCI onset.

RESULTS

The present study enrolled 202 SCI patients with a mean age of 40.3 ± 12.3 years. At 3 months post-SCI, 79 participants exhibited complete bladder emptying. Least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression analyses identified the H-reflex of the soleus muscle, the American Spinal Injury Association Lower Extremity Motor Score (ASIA-LEMS), and the time from lesion to rehabilitation facility (TLRF) as significant independent predictors for bladder emptying. A scoring system named HALT was developed, yielding a strong discriminatory performance with an area under the receiver operating characteristics curve (aROC) of 0.878 (95% CI: 0.823-0.933). A simplified model utilizing only the H-reflex exhibited excellent discriminatory ability with an aROC of 0.824 (95% CI: 0.766-0.881). Both models demonstrated good calibration via the Hosmer-Lemeshow test and favorable clinical net benefits through decision curve analysis (DCA). In comparison to ASIA-LEMS, both the HALT score and H-reflex showed superior predictive accuracy for bladder outcome. Notably, in individuals with incomplete injuries, the HALT score (aROC = 0.973, 95% CI: 0.940-1.000) and the H-reflex (aROC = 0.888, 95% CI: 0.807-0.970) displayed enhanced performance.

CONCLUSION

Two reliable models, the HALT score and the H-reflex, were developed to predict bladder outcomes as early as 3 months after SCI onset. Importantly, this study provides hitherto undocumented evidence regarding the predictive significance of the soleus H-reflex in relation to bladder outcomes in SCI patients.

Prognostic value of Salzburg nonconvulsive status epilepticus criteria: The SACE score

OBJECTIVE

This study was undertaken to investigate the association between the Salzburg nonconvulsive status epilepticus (NCSE) criteria and in-hospital outcome, to determine the predictive accuracy of the Status Epilepticus Severity Score (STESS), modified STESS (mSTESS), Epidemiology-Based Mortality Score in Status Epilepticus (EMSE), and END-IT (encephalitis, NCSE, diazepam resistance, imaging features, and tracheal intubation) in NCSE patients, and to develop a new prognostic score specifically designed for NCSE patients.

METHODS

Clinical and electroencephalographic (EEG) data of adult patients treated for NCSE from 2020 to 2023 were retrospectively assessed. Age, sex, modified Rankin Scale at admission, comorbidities, history of seizures, etiology, status epilepticus type, and outcome were collected from the patients' digital charts. EEG data were assessed and categorized applying the Salzburg NCSE criteria. In-hospital death was defined as the primary outcome.

RESULTS

A total of 116 NCSE patients were included. Multivariable logistic regression revealed that Salzburg NCSE criterion A2 (ictal morphological, spatial, and temporal evolution) was associated with in-hospital survival. The best STESS cutoff was ≥4 (sensitivity = .62, specificity = .69, accuracy = 67%). mSTESS ≥ 5 reached a sensitivity of .68, a specificity of .57, and an overall accuracy of 60%, EMSE ≥ 64 a sensitivity of .82, a specificity of .39, and an overall accuracy of 52%, and END-IT ≥ 3 a sensitivity of .65, a specificity of .44, and an overall accuracy of 50%. Through a hypothesis-generating approach, we developed the SACE score, which integrates EEG features (criterion A2) with patient age (with a 75-year cutoff), history of seizures, and level of consciousness. With a cutoff of ≥3, it had a sensitivity of .77, a specificity of .74, and an overall accuracy of 76%, performing better than other prognostic scores.

SIGNIFICANCE

We developed a new user-friendly scoring system, the SACE score, which integrates EEG features with other established outcome-related variables assessable in early stages, to assist neurologists and neurointensivists in making more tailored prognostic decisions for NCSE patients.

Risk factors for super-refractory and mortality in generalized convulsive status epilepticus: a 10-year retrospective cohort study

Background

Generalized convulsive status epilepticus (GCSE) is one of the most challenging life-threatening neurological emergencies. If GCSE becomes super-refractory, it is associated with significant mortality. Although aggressive management of prolonged status epilepticus was conducted, the mortality has not decreased since the late 1990s.

Objectives

The present study aimed to explore the risk factors for progression to super-refractory in patients with generalized convulsive status epilepticus (GCSE). Moreover, we illustrated the risk factors for mortality in GCSE patients.

Design

An observational retrospective cohort study.

Methods

We conducted a retrospective study of patients with GCSE admitted to our neurocritical unit, in Guangzhou, China, from October 2010 to February 2021. The data of sociodemographic information, etiology, laboratory results, treatment, and prognosis were collected and analyzed.

Results

A total of 106 patients were enrolled; 51 (48%) of them developed super-refractory status epilepticus (SRSE). Multivariate logistic regression analysis demonstrated that patients with autoimmune encephalitis (p = 0.015) and intracranial infection (p = 0.019) are likely to progress to SRSE. The in-hospital mortality was 11.8% and 9.1% for patients in the SRSE and non-SRSE groups, respectively (p = 0.652). Multivariate logistic regression analysis showed that neutrophil-to-lymphocyte ratios (NLR) at admission were independently associated with in-hospital mortality. Up to 31.4% of SRSE patients and 29.1% of non-SRSE patients died within 6 months after discharge (p = 0.798). Multivariate logistic regression analysis showed that plasma exchange (PE) was a protective factor for 6-month mortality. A high NLR at discharge was a risk factor for 6-month mortality.

Conclusion

In the current study, about 48% of GCSE patients progressed to SRSE. Regarding etiology, autoimmune encephalitis or intracranial infection was prone to SRSE. No significant differences were observed in the in-hospital and 6-month mortality between SRSE and non-SRSE groups. Multivariate logistic regression analysis showed that NLR at admission and discharge was an independent predictor of in-hospital and 6-month mortality, respectively. Moreover, PE significantly reduced the 6-month mortality.

Development and validation of a nomogram to provide individualized predictions of functional outcomes in patients with convulsive status epilepticus at 3 months: The modified END-IT tool

AIMS

The prediction of outcomes in convulsive status epilepticus (CSE) remains a constant challenge. The Encephalitis-Nonconvulsive Status Epilepticus-Diazepam Resistance-Image Abnormalities-Tracheal Intubation (END-IT) score was a useful tool for predicting the functional outcomes of CSE patients, excluding cerebral hypoxia patients. With further understanding of CSE, and in view of the deficiencies of END-IT itself, we consider it necessary to modify the prediction tool.

METHODS

The prediction model was designed from a cohort of CSE patients from Xijing Hospital (China), between 2008 and 2020. The enrolled subjects were randomly divided into training cohort and validation cohort as a ratio of 2:1. The logistic regression analysis was performed to identify the predictors and construct the nomogram. The performance of the nomogram was assessed by calculating the concordance index, and creating calibration plots to check the consistency between the predicted probabilities of poor prognosis and the actual outcomes of CSE.

RESULTS

The training cohort included 131 patients and validation cohort included 66 patients. Variables included in the nomogram were age, etiology of CSE, non-convulsive SE, mechanical ventilation, abnormal albumin level at CSE onset. The concordance index of the nomogram in the training and validation cohorts was 0.853 (95% CI, 0.787-0.920) and 0.806 (95% CI, 0.683-0.923), respectively. The calibration plots showed an adequate consistency between the reported and predicted unfavorable outcomes of patients with CSE at 3 months after discharge.

CONCLUSIONS

A nomogram for predicting the individualized risks of poor functional outcomes in CSE was constructed and validated, which has been an important modification of END-IT score.

External validation of newly modified status epilepticus severity score for predicting mortality in patients with status epilepticus in a regional hospital in Taiwan

PURPOSE

To evaluate and compare the performance of the status epilepticus severity score (STESS), modified STESS (mSTESS), and the newly modified STESS (nSTESS) in predicting mortality in patients with status epilepticus (SE) at a regional hospital in Taiwan.

METHODS

Data were collected from 81 patients with SE, aged over 18 years at a regional medical hospital in Tainan from January 2012 to December 2022. SE were treated following the standard treatment protocol. Exclusion criteria included missing data, lack of adherence to the treatment protocol, and transfer to tertiary medical centers. Outcome measures included differences in characteristics between survivor and non-survivor groups, the accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of STESS, nSTESS, mSTESS. Receiver operating characteristic (ROC) curve and area under curve (AUC) of scales were generated. Calibration with Hosmer-Lemeshow test was built as well.

RESULTS

The study found significant differences in seizure types (p = 0.015) and undergoing intubation (p = 0.017) between survivor and non-survivor groups. No significant differences were observed in age, gender, underlying diseases, or the category of antiseizure medications (ASMs) usage. The ROC curve for STESS, nSTESS and mSTESS showed similar predictive values of around 0.75, indicating moderate performance of prediction. The Hosmer-Lemeshow test showed no significant difference between real-world predictions and these three clinical scales. In the aspect of accuracy, sensitivity and specificity, nSTESS has similar overall accuracy as in STESS and mSTESS.

CONCLUSION

This external validation study demonstrates the moderate performance of nSTESS in predicting mortality in SE patients at a regional hospital in Taiwan. These outcomes underscore the practical utility of these scales in clinical practice, with nSTESS demonstrating accuracy on par with the others. Further validation in larger, multicenter cohorts and other healthcare settings is necessary to fully confirm its predictive value.

Nonconvulsive status epilepticus in neurocritical care: A critical reappraisal of outcome prediction scores

OBJECTIVE

Nonconvulsive status epilepticus (NCSE) is a frequent condition in the neurocritical care unit (NCCU) patient population, with high morbidity and mortality. We aimed to assess the validity of available outcome prediction scores for prognostication in an NCCU patient population in relation to their admission reason (NCSE vs. non-NCSE related).

METHODS

All 196 consecutive patients diagnosed with NCSE during the NCCU stay between January 2010 and December 2020 were included. Demographics, Simplified Acute Physiology Score II (SAPS II), NCSE characteristics, and in-hospital and 3-month outcome were extracted from the electronic charts. Status Epilepticus Severity Score (STESS), Epidemiology-Based Mortality Score in Status Epilepticus (EMSE), and encephalitis, NCSE, diazepam resistance, imaging features, and tracheal intubation score (END-IT) were evaluated as previously described. Univariable and multivariable analysis and comparison of sensitivity/specificity/positive and negative predictive values/accuracy were performed.

RESULTS

A total of 30.1% died during the hospital stay, and 63.5% of survivors did not achieve favorable outcome at 3 months after onset of NCSE. Patients admitted primarily due to NCSE had longer NCSE duration and were more likely to be intubated at diagnosis. The receiver operating characteristic (ROC) for SAPS II, EMSE, and STESS when predicting mortality was between .683 and .762. The ROC for SAPS II, EMSE, STESS, and END-IT when predicting 3-month outcome was between .649 and .710. The accuracy in predicting mortality/outcome was low, when considering both proposed cutoffs and optimized cutoffs (estimated using the Youden Index) as well as when adjusting for admission reason.

SIGNIFICANCE

The scores EMSE, STESS, and END-IT perform poorly when predicting outcome of patients with NCSE in an NCCU environment. They should be interpreted cautiously and only in conjunction with other clinical data in this particular patient group.

Early Clinical Variables Associated With Refractory Convulsive Status Epilepticus in Children

BACKGROUND AND OBJECTIVES

The objective of this study was to determine patient-specific factors known proximate to the presentation to emergency care associated with the development of refractory convulsive status epilepticus (RSE) in children.

METHODS

An observational case-control study was conducted comparing pediatric patients (1 month-21 years) with convulsive SE whose seizures stopped after benzodiazepine (BZD) and a single second-line antiseizure medication (ASM) (responsive established status epilepticus [rESE]) with patients requiring more than a BZD and a single second-line ASM to stop their seizures (RSE). These subpopulations were obtained from the pediatric Status Epilepticus Research Group study cohort. We explored clinical variables that could be acquired early after presentation to emergency medical services with univariate analysis of the raw data. Variables with p < 0.1 were retained for univariable and multivariable regression analyses. Multivariable logistic regression models were fit to age-matched and sex-matched data to obtain variables associated with RSE.

RESULTS

We compared data from a total of 595 episodes of pediatric SE. Univariate analysis demonstrated no differences in time to the first BZD (RSE 16 minutes [IQR 5-45]; rESE 18 minutes [IQR 6-44], p = 0.068). Time to second-line ASM was shorter in patients with RSE (RSE 65 minutes; rESE 70 minutes; p = 0.021). Both univariable and multivariable regression analyses revealed a family history of seizures (OR 0.37; 95% CI 0.20-0.70, p = 0.0022) or a prescription for rectal diazepam (OR 0.21; 95% CI 0.078-0.53, p = 0.0012) was associated with decreased odds of RSE.

DISCUSSION

Time to initial BZD or second-line ASM was not associated with progression to RSE in our cohort of patients with rESE. A family history of seizures and a prescription for rectal diazepam were associated with a decreased likelihood of progression to RSE. Early attainment of these variables may help care for pediatric rESE in a more patient-tailored manner.

CLASSIFICATION OF EVIDENCE

This study provides Class II evidence that patient and clinical factors may predict RSE in children with convulsive seizures.

Neutral theory: applicability and neutrality of clinical study endpoints where a disease-specific instrument is available

BACKGROUND

There is a pressing need to improve the accuracy of rare disease clinical study endpoints. Neutral theory, first described here, can be used to assess the accuracy of endpoints and improve their selection in rare disease clinical studies, reducing the risk of patient misclassification.

METHODS

Neutral theory was used to assess the accuracy of rare disease clinical study endpoints and the resulting probability of false positive and false negative classifications at different disease prevalence rates. Search strings were extracted from the Orphanet Register of Rare Diseases using a proprietary algorithm to conduct a systematic review of studies published until January 2021. Overall, 11 rare diseases with one disease-specific disease severity scale (133 studies) and 12 rare diseases with more than one disease-specific disease severity scale (483 studies) were included. All indicators from clinical studies were extracted, and Neutral theory was used to calculate their match to disease-specific disease severity scales, which were used as surrogates for the disease phenotype. For those with more than one disease-severity scale, endpoints were compared with the first disease-specific disease severity scale and a composite of all later scales. A Neutrality score of > 1.50 was considered acceptable.

RESULTS

Around half the clinical studies for half the rare diseases with one disease-specific disease severity score (palmoplantar psoriasis, achalasia, systemic lupus erythematosus, systemic sclerosis and Fournier's gangrene) met the threshold for an acceptable match to the disease phenotype, one rare disease (Guillain-Barré syndrome) had one study with an acceptable match, and four diseases (Behcet's syndrome, Creutzfeldt-Jakob disease, atypical hemolytic uremic syndrome and Prader-Willi syndrome) had no studies. Clinical study endpoints in almost half the rare diseases with more than one disease-specific DSS (acromegaly, amyotrophic lateral sclerosis, cystic fibrosis, Fabry disease and juvenile rheumatoid arthritis) were a better match to the composite, while endpoints in the remaining rare diseases (Charcot Marie Tooth disease, Gaucher disease Type I, Huntington's disease, Sjogren's syndrome and Tourette syndrome) were a worse match. Misclassifications varied with increasing disease prevalence.

CONCLUSIONS

Neutral theory confirmed that disease-severity measurement needs improvement in rare disease clinical studies, especially for some diseases, and suggested that the potential for accuracy increases as the body of knowledge on a disease increases. Using Neutral theory to benchmark disease-severity measurement in rare disease clinical studies may reduce the risk of misclassification, ensuring that recruitment and treatment effect assessment optimise medicine adoption and benefit patients.

The value of serum albumin concentration in predicting functional outcome of status epilepticus: An observational study

OBJECTIVE

Status epilepticus (SE) is a common neurological emergency with unsatisfying prognoses, and accurate prediction of functional outcome is beneficial in clinical decision-making. The relationship between serum albumin concentration and outcome of SE patients has yet to be unveiled.

METHODS

Clinical profiles of SE patients admitted to Xiangya Hospital, Central South University, from April 2017 to November 2020, were analyzed retrospectively. Outcomes of SE patients at discharge were divided into two groups based on the modified Rankin Scale (mRS): favorable outcome (mRS: 0-3) and unfavorable outcome (mRS: 4-6).

RESULTS

Fifty-one patients were enrolled. Unfavorable functional outcome at discharge was reported in 60.8% (31/51). Serum albumin concentration at admission and the Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT) score remained independent predictors for functional outcome of SE patients. A lower albumin concentration at admission and higher END-IT score indicated a higher chance of unfavorable outcome for SE patients. The cut-off value of serum albumin to predict unfavorable outcome was 35.2 g/L, with a sensitivity of 67.7% and specificity of 85.0%, and an area under the receiver operating characteristic curve (ROC) of .738 (95% CI: .600-.876, p = .004). The preferable END-IT score with optimal sensitivity (74.2%) and specificity (60%) was 2 and the area under the ROC was .742, with 95% CI of .608-.876 (p = .004).

SIGNIFICANCE

Serum albumin concentration at admission and the END-IT score are two independent predictive factors for short-term outcome of SE patients, moreover, the serum albumin concentration is not inferior to the END-IT score in indicating functional outcome at discharge.

Neuro-glial degeneration in Status Epilepticus: Exploring the role of serum levels of Neurofilament light chains and S100B as prognostic biomarkers for short-term functional outcome

BACKGROUND

The last ILAE definition of Status Epilepticus (SE) highlights that the persistence of the epileptic activity per se could determine irreversible brain damages that could be responsible for long-term consequences. The measurement of neuro-glial injury biomarkers could help in the identification of those patients who will eventually develop short- and long-term consequences of SE. At present none of the already studied biomarkers has been validated to be used in everyday clinical practice. In this study, we explore the role of NfL and S100B as a prognostic biomarkers to identify patients who will develop short-term disability after an episode of SE.

METHODS

This is a retrospective assessment of the serum levels of both NfL and S100B in a cohort of 87 adult patients with SE prospectively collected in our SE registry (Modena Status Epilepticus Registry - MoSER -) at Baggiovara Civil Hospital (Modena, Italy). All samples were acquired during SE within 72 hours of SE diagnosis. The comparison groups were: healthy controls (HC, n = 27) and patients with epilepsy (PWE, n = 30). Demographic, clinical, and therapeutical information and thirty-days follow-up information regarding disability development were acquired for every included patient and analyzed in relation to NfL and S100B values.

RESULTS

Serum levels of NfL were significantly higher in SE compared to those of PWE (median 7.35 pg/ml, IQR 6.4, p < 0.001) and HC (median 6.57 pg/ml, IQR 9.1, p < 0.001); S100B serum levels were higher in SE (median 0.11 ug/L, IQR 0.18) compared to PWE (median 0.03 ug/L, IQR 0.03, p < 0.001) and HC (median 0.02 ug/L, IQR 0.008, p < 0.001). However, only NfL serum levels were found to be an independent predictor of 30 days functional outcome whereas S100B levels did not.

CONCLUSIONS

Our results suggest that NfL measurement in serum during SE could help predict the short-term functional outcome. This paper was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022.

Clinical scores and clusters for prediction of outcomes in status epilepticus

Status epilepticus (SE) is a life-threatening condition and may have long-term negative sequelae. Short- and long-term outcomes encompass mortality, deterioration of functional status compared to baseline, refractoriness to treatment, recurrence of SE, and development of epilepsy, cognitive impairment, and behavioral disturbances. So far, the greatest amount of evidence is available for the prediction of short-term mortality. Conversely, the knowledge regarding long-term consequences among SE survivors is still scarce and several issues have not yet been resolved. The heterogeneity of SE renders the prognostication of outcomes challenging. Although aetiology is the main determinant of the outcome, different prognostic predictors have been identified. In this regard, data on group effects need to be integrated into prognostic scores to allow individual risk stratification. Importantly, many of the present scores are not designed to enable repetition to follow patient evolution. A new paradigm for the assessment of SE outcomes should consider variables that become available and/or can be retested during the course of SE. Neuroimaging findings, serum biomarkers, treatment characteristics, complications during SE, peri-ictal and postictal characteristics after SE cessation look as promising determinants of outcome and are suitable for inclusion in future models to enhance the quality and increase the reliability of prediction. This paper was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022.

Do acute EEG findings add to clinical features in predicting outcomes after status epilepticus and acute symptomatic seizures?

Status epilepticus is a potentially life-threatening medical emergency associated with poor functional outcomes. Improving our ability to accurately predict functional outcomes is beneficial to optimizing treatment strategies. Currently, there are four published status epilepticus scores in adults: STESS (Status Epilepticus Severity Score), EMSE (Epidemiology-Based Mortality Score in Status Epilepticus), END-IT (Encephalitis-Nonconvulsive-Diazepam resistance-Imaging-Tracheal intubation), and recently published ACD (Age-level of Consciousness-Duration of status epilepticus) score. The only available scale in the pediatric population is PEDSS (Pediatric CPC scale-EEG (normal vs abnormal)-Drug refractoriness-critical Sickness-Semiology). While these scores are useful research tools, currently there is little evidence to suggest their utility during real-time clinical care. Except for EMSE, none of the scores incorporate EEG findings for prognostication. Adding EEG features improves prognostic accuracy, as has been shown with the EMSE scale with and without the EEG component. Acute symptomatic seizures (AsyS) and early epileptiform abnormalities, especially nonconvulsive seizures, and periodic discharges, markedly increase the risk for subsequent unprovoked seizures. However, many of these patients may not need lifelong anti-seizure medications (ASMs). Continuous EEG monitoring shows that the majority of ASyS are nonconvulsive and can identify epileptic patterns. Dedicated specialty clinics for these patients, known as Post Acute Symptomatic Seizure (PASS) clinics, already exist in the United States. Post Acute Symptomatic Seizure clinics are ideal for both long-term clinical care and answering important research questions related to epileptogenesis, duration of ASM treatment required, and evolution of EEG findings. This topic was presented at the 8th London-Innsbruck Colloquium on Status Epilepticus and Acute Seizures held in September 2022. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Severity scores for status epilepticus in the ICU: systemic illness also matters

BACKGROUND

Current prognostic scores for status epilepticus (SE) may not be adequate for patients in ICU who usually have more severe systemic conditions or more refractory episodes of SE. We aimed to compare the prognostic performance of two SE scores, Status Epilepticus Severity Score (STESS) and Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) score, with four systemic severity scores, Acute Physiology and Chronic Health Evaluation 2 (APACHE-2), Simplified Acute Physiology Score 2 (SAPS-2), Sequential Organ Failure Assessment (SOFA) score, and Inflammation, Nutrition, Consciousness, Neurologic function and Systemic condition (INCNS) score in critically ill patients with SE.

METHODS

This retrospective observational study of a prospectively identified SE cohort was conducted in the ICU at a tertiary-care center. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and associations with outcomes of STESS, EMSE, INCNS, APACHE-2, SAPS-2, and SOFA score for the prediction of in-hospital mortality and no return to baseline condition were assessed.

RESULTS

Between January 2015 and December 2020, 166 patients with SE in ICU were included in the study. In predicting in-hospital death, APACHE-2 (0.72), SAPS-2 (0.73), and SOFA score (0.71) had higher AUCs than STESS (0.58) and EMSE (0.69). In predicting no return to baseline condition, the AUC of APACHE-2 (0.75) was the highest, and the AUC of INCNS (0.55) was the lowest. When the specificity approached 90%, the sensitivity values of these scores were not quite acceptable (< 40%). Neither SE scores nor systemic severity scores had desirable prognostic power. In the multivariate logistic regression analyses, the best combinations of scores always included at least one or more systemic severity scores.

CONCLUSIONS

STESS and EMSE were insufficient in outcome prediction for SE patients in ICU, and EMSE was marginally better than STESS. Systemic illness matters in ICU patients with SE, and SE scores should be modified to achieve better accuracy in this severely ill population. This study mostly refers to severely ill patients in the ICU.

Prognostic scores in status epilepticus: A systematic review and meta-analysis

The performance of prognostic scores of status epilepticus (SE) has been reported in very heterogeneous cohorts. We aimed to provide a summary of the available evidence on their respective performance. PubMed and EMBASE were searched for relevant articles. Studies were reviewed for eligibility for meta-analysis of the area under the receiver-operating characteristic curve (AUC) and for meta-analysis of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in predicting in-hospital mortality with scores in which at least two external evaluations had been published. This study was registered with PROSPERO (international prospective register of systematic reviews) (CRD42022325766). Study quality was assessed using Prediction model Risk Of Bias ASsessment Tool (PROBAST). In the meta-analysis of AUC, 21 studies were pooled for STESS (Status Epilepticus Severity Score), five for EMSE-EAC (Epidemiology-based Mortality Score in Status Epilepticus - Etiology, Age, level of Consciousness), five for EMSE-EACE (EMSE - Etiology, Age, level of Consciousness, EEG), and two for ENDIT (Encephalitis, nonconvulsive status epilepticus, Diazepam resistance, Imaging abnormalities, Tracheal intubation). The pooled AUC of STESS, EMSE-EAC, EMSE-EACE, and ENDIT was 0.74 (95% CI: 0.71-0.78), 0.68 (95% CI 0.63-0.72), 0.77 (95% CI: 0.72-0.81), and 0.78 (95% CI: 0.70-0.87), respectively. The pooled sensitivity of STESS-3, STESS-4, EMSE-EACE-64, and ENDIT-4 was 0.83 (95% CI: 0.80-0.86), 0.60 (95% CI: 0.55-0.65), 0.76 (95% CI: 0.67-0.83), and 0.70 (95% CI: 0.55-0.82), respectively. Their pooled specificity was 0.50 (95% CI: 0.48-0.52), 0.74 (95% CI: 0.72-0.76), 0.63 (95% CI: 0.59-0.67), and 0.65 (95% CI: 0.61-0.70), respectively. Their pooled PPV was 0.27 (95% CI: 0.24-0.30), 0.35 (95% CI: 0.29-0.41), 0.33 (95% CI: 0.24-0.43), and 0.20 (95% CI: 0.13-0.27). Their pooled NPV was 0.94 (95% CI: 0.93-0.96), 0.90 (95% CI: 0.89-0.92), 0.89 (95% CI: 0.80-0.98), and 0.95 (95% CI: 0.92-0.98). Variations in performance were observed in patients' subgroups, such as critically ill patients and refractory cases. Investigated scores only have acceptable AUC, sensitivity, and specificity for predicting in-hospital mortality, with the EMSE-EAC having a lower discriminative power. STESS-3 has the highest sensitivity, and STESS-4 the highest specificity, but neither combines acceptable sensitivity and specificity. All these scores had high NPV but very low PPV. Caution should be exercised in their clinical use. Further studies are required to develop more accurate scores.

Pediatric Status Epilepticus Severity Score (STEPSS): Predictive Performance of Functional Outcomes: A Prospective Single-Center Study

Objective: To prospectively investigate the predictive value of the modified Status Epilepticus Severity Score (STESS) for pediatric use (STEPSS) regarding unfavorable outcomes in the short term. Methods: Patients diagnosed as status epilepticus in the emergency department between January 2019 and June 2021 at a tertiary center of the University of Health Sciences, Dr. Behcet Uz Children's Hospital, were included in the study. The patients were followed up in the emergency department, neurology clinic, and pediatric intensive care unit until discharge. Demographic and clinical characteristics, STEPSS, and Pediatric Overall Performance Category Scale (POPC) scores were calculated. We defined a Pediatric Overall Performance Category Scale score ≥3 as an unfavorable outcome. We compared the effect of STEPSS on unfavorable outcomes and mortality. Results: 124 children were included. The median age was 33 months (interquartile range 16.2-84.7). Seventy-two (58.1%) patients had acute symptomatic etiology. We found that the STEPSS score with the receiver operating characteristic curve (area under the curve  = 0.917, P < .001) could predict unfavorable outcomes (Pediatric Overall Performance Category Scale score ≥3) in children with status epilepticus. The Youden index (0.76) showed that a STEPSS score >2 was the optimal cutoff point for an unfavorable outcome. We found STEPSS useful in predicting mortality (area under the curve  = 0.853, P < .001). The Youden index (0.58) indicated that a STEPSS >2 was the optimal cutoff for mortality: sensitivity 0.90 (95% confidence interval [CI] 0.58-0.99), specificity 0.67 (95% CI 0.57-0.77), positive predictive value 0.21, negative predictive value 0.98, positive likelihood ratio 2.7, negative likelihood ratio 0.14. Conclusion: We determined that STEPSS can be predicted unfavorable outcomes and mortality. We think that STEPSS can be used as a useful clinical score with further studies and external validations.

Timing matters: there are significant differences in short-term outcomes between two time points of status epilepticus

Background

In 2015, the International League Against Epilepsy proposed a new conceptual definition of status epilepticus (SE) with two operational dimensions (t1 and t2) to guide emergency treatment. The purpose of this study was to compare clinical characteristics and prognoses of patients at these two different time points.

Methods

We conducted a prospective observational cohort study of consecutive adults diagnosed with SE. In case of convulsive SE, t1 is 5 min and t2 is 30 min, whereas in case of focal SE with impaired consciousness, t1 is 10 min, t2 is 60 min. Data on clinical characteristics, including age, gender, history of prior seizures, neuroimaging, semiology, duration, and etiology of SE, were collected. The primary outcome was mortality, with seizure recurrence as a secondary measure, and functional status as tertiary outcome of enrolled patients at 3 months after SE onset.

Results

We screened one hundred patients with SE, with a median age of 66 years and 61% were male. Fifty-six (56.0%) patients reached t1 of SE, while 44 (44.0%) reached t2 of SE. Convulsive SE (52.0%, n = 52) was more common than focal SE with impaired consciousness (48.0%, n = 48). Status epilepticus secondary to an acute symptomatic process was the most common (50%, n = 50). Patients meeting t2 of SE demonstrated a remarkably increased risk of mortality (unadjusted analysis-RR 3.606, 95%CI 1.552–8.376, p = 0.003; adjusted analysis-RR 2.924, 95%CI 1.221–7.003, p = 0.016) and unfavorable functional status (unadjusted analysis-RR 1.803, 95%CI 1.280–2.539, p = 0.001; adjusted analysis-RR 1.664, 95%CI 1.184–2.340, p = 0.003) at 3 months compared to those who only reached t1 of SE. Patients reaching t2 of SE were more likely to experience seizure recurrence, however, there was no significant difference between the two cohorts.

Conclusions

Our study provides strong support for the new definition of SE. Patients meeting t2 of SE tend to have a remarkably increased risk of mortality and unfavorable functional outcomes compared to those who only reached t1 of SE. Furthermore, patients were likely to experience seizure recurrence after undergoing an episode of SE. Physicians must be educated about prompt recognition and appropriate management of SE.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-022-02868-y.

Clinico-biological markers for the prognosis of status epilepticus in adults

Prediction of mortality, functional outcome and recovery after status epilepticus (SE) is a challenge. Biological and clinical markers have been proposed to reflect the brain injury or to monitor critical ill patients' severity. The aim of this study was to characterize short-term and long-term prognostic factors for SE patients hospitalized in intensive care unit. Patient's outcome was assessed using the modified Rankin Scale at discharge and after 6-12 months. We first assessed the univariate prognosis significance of 51 clinical, demographic or biochemical markers. Next, we built multivariate clinico-biological models by combining most important factors. Statistical models' performances were compared to those of two previous published scales STESS and mSTESS. Eighty-one patients were enrolled. Thirty-five patients showed a steady state while 46 patients clinically worsened at discharge: 14 died, 14 had persistent disability at 6-12 months and 18 recovered. Logistic regression analysis revealed that clinical markers (SE refractoriness, SE duration, de novo SE) were significant independent predictors of worsening while lipids markers and progranulin better predicted mortality. The association of clinico-biological variables allowed to accurately predict worsening at discharge (AUC > 0.72), mortality at discharge (AUC 0.83) and recovery at long-term (AUC 0.89). Previous scales provided lower prediction for worsening (AUC 0.63, STESS; 0.53, mSTESS) and mortality (AUC 0.56, STESS; 0.62, mSTESS) (p < 0.001). We proposed new clinico-biological models with a strong discrimination power for prediction of short- and long-term outcome of hospitalized status epilepticus patients. Their implementation in electronic devices may enhance their clinical liability.

Prediction of Long-term Survival After Status Epilepticus Using the ACD Score

Importance

Early prediction of long-term mortality in status epilepticus is important given the high fatality rate in the years after diagnosis.

Objective

To improve prognostication of long-term mortality after status epilepticus diagnosis.

Design, Settings, and Participants

This retrospective, multicenter, multinational cohort study analyzed adult patients who were diagnosed with and treated for status epilepticus at university hospitals in Odense, Denmark, between January 1, 2008, and December 31, 2017, as well as in Oslo, Norway; Marburg, Germany; and Frankfurt, Germany. They were aged 18 years or older and had first-time, nonanoxic status epilepticus. A new scoring system, called the ACD score, for predicting 2-year (long-term) mortality after hospital discharge for status epilepticus was developed in the Danish cohort and validated in the German and Norwegian cohorts. The ACD score represents age at onset, level of consciousness at admission, and duration of status epilepticus. Data analysis was performed between September 1, 2019, and March 31, 2020.

Exposures

Long-term follow-up using data from national and local civil registries in Denmark, Norway, and Germany.

Main Outcomes and Measures

The predefined end point was 2-year survival for all patients and for a subgroup of patients with status epilepticus causes that were not damaging or were less damaging to the brain. Neurological deficits before and after onset, demographic characteristics, etiological categories of status epilepticus, comorbidities, survival, time points, treatments, and prognostic scores for different measures were assessed.

Results

A total of 261 patients (mean [SD] age, 67.2 [14.8] years; 132 women [50.6%]) were included, of whom 145 patients (mean [SD] age, 66.3 [15.0] years; 78 women [53.8%]) had status epilepticus causes that were not damaging or were less damaging to the brain. The validation cohort comprised patients from Norway (n = 139) and Germany (n = 906). At hospital discharge, 29.8% of patients (n = 64 of 215) had new moderate to severe neurological deficits compared with baseline. New neurological deficits were a major predictor of 2-year survival after hospital discharge (odds ratio, 5.1; 95% CI, 2.2-11.8); this association was independent of etiological category. Nonconvulsive status epilepticus in coma and duration of status epilepticus were associated with development of new neurological deficits, and a simple 3-factor score (ACD score) combining these 2 risk factors with age at onset was developed to estimate survival after status epilepticus diagnosis. The ACD score had a linear correlation with 2-year survival (Pearson r2 = 0.848), especially in the subset of patients with a low likelihood of brain damage.

Conclusions and Relevance

This study found that age, long duration, and nonconvulsive type of status epilepticus in coma were associated with the development of new neurological deficits, which were predictors of long-term mortality. Accounting for risk factors for new neurological deficits using the ACD score is a reliable method of prediction of long-term outcome in patients with status epilepticus causes that were not damaging or were less damaging to the brain.

Management of Status Epilepticus, Refractory Status Epilepticus, and Super-refractory Status Epilepticus

PURPOSE OF REVIEW

Status epilepticus is a serious condition caused by disorders and diseases that affect the central nervous system. In status epilepticus, hypersynchronous epileptic activity lasts longer than the usual duration of isolated self-limited seizures (time t1), which causes neuronal damage or alteration of neuronal networks at a certain time point (time t2), depending on the type of and duration of status epilepticus. The successful management of status epilepticus includes both the early termination of seizure activity and the earliest possible identification of a causative etiology, which may require independent acute treatment. In nonconvulsive status epilepticus, patients present only with subtle clinical signs or even without any visible clinical manifestations. In these cases, EEG allows for the assessment of cerebral function and identification of patterns in need of urgent treatment.

RECENT FINDINGS

In 2015, the International League Against Epilepsy proposed a new definition and classification of status epilepticus, encompassing four axes: symptomatology, etiology, EEG, and age. Various validation studies determined the practical usefulness of EEG criteria to identify nonconvulsive status epilepticus. The American Clinical Neurophysiology Society has incorporated these criteria into their most recent critical care EEG terminology in 2021. Etiology, age, symptomatology, and the metabolic demand associated with an increasing duration of status epilepticus are the most important determinants of prognosis. The consequences of status epilepticus can be visualized in vivo by MRI studies.

SUMMARY

The current knowledge about status epilepticus allows for a more reliable diagnosis, earlier treatment, and improved cerebral imaging of its consequences. Outcome prediction is a soft tool for estimating the need for intensive care resources.

Management of status epilepticus: a narrative review

Status epilepticus causes prolonged or repetitive seizures that, if left untreated, can lead to neuronal injury, severe disability, coma and death in paediatric and adult populations. While convulsive status epilepticus can be diagnosed using clinical features alone, non-convulsive status epilepticus requires confirmation by electroencephalogram. Early seizure control remains key in preventing the complications of status epilepticus. This is especially true for convulsive status epilepticus, which has stronger evidence supporting the benefit of treatment on outcomes. When status epilepticus becomes refractory, often due to gamma-aminobutyric acid and N-methyl-D-aspartate receptor modulation, anaesthetic drugs are needed to suppress seizure activity, of which there is limited evidence regarding the selection, dose or duration of their use. Seizure monitoring with electroencephalogram is often needed when patients do not return to baseline or during anaesthetic wean; however, it is resource-intensive, costly, only available in highly specialised centres and has not been shown to improve functional outcomes. Thus, the treatment goals and aggressiveness of therapy remain under debate, especially for non-convulsive status epilepticus, where prolonged therapeutic coma can lead to severe complications. This review presents an evidence-based, clinically-oriented and comprehensive review of status epilepticus and its definitions, aetiologies, treatments, outcomes and prognosis at different stages of the patient's journey.

Status Epilepticus Mortality Risk Factors and a Correlation Survey with the Newly Modified STESS

BACKGROUND

Status epilepticus (SE) is a neurological emergency and is usually associated with significant morbidity and mortality rates. Several clinical scales have been proposed to predict the clinical outcome of such incidents, including the Status Epilepticus Severity Score (STESS), the modified STESS (mSTESS), and the Encephalitis-Nonconvulsive Status Epilepticus-Diazepam Resistance-Image Abnormalities-Tracheal intubation (END-IT). Nevertheless, there is still a need for a more practical and precise predictive scale.

METHODS

This is a retrospective cohort study which examines data from patients with SE in our Department of Neurology between 2009 and 2020. Based on the outcome of each case, the patients were divided into survivor and non-survivor groups. We analyzed the independent factors and adjusted the STESS to achieve a better prediction of prognosis. The predictive accuracy of our new STESS scale was then compared with that of the mSTESS and the END-IT.

RESULTS

Data on a total of 59 patients were collected, with 6 of them classified as non-survivors. The effects of the variables of age, sex, underlying disease(s), and type(s) of antiepileptic drug (AED) use showed no significant differences between the survivor and non-survivor groups. Importantly, the number of AEDs used in the first week and the use of thiobarbiturates predicted non-survival. We adjusted the STESS to create the newly modified STESS (nSTESS), which showed a better predictive capacity than the STESS, the mSTESS, and the END-IT.

CONCLUSIONS

Our adjustment of the STESS with the addition of the factors "number of AEDs within the first week" and "use of thiobarbiturates", could have a positive impact on the prediction of mortality rates compared with currently used scales. This nSTESS could potentially be useful in clinical practices, for the early prediction of outcomes for patients with SE.

Clinical findings, etiological factors, and prognosis markers in status epilepticus: a university hospital experience

OBJECTIVE

To determine the factors affecting mortality and disability in status epilepticus (SE) and to evaluate the prediction ability of the Status Epilepticus Severity Score (STESS) for disability and mortality.

MATERIALS AND METHOD

The demographic and clinical characteristics, prognosis and prognosis predictors of 72 patients who were diagnosed with SE between 2013 and 2018 were retrospectively evaluated. The STESS was used to predict prognosis, and the modified Rankin scale (mRS) was used to determine the disability at discharge.

RESULTS

The study population had a mean age of 45.4 ± 20.7, and it was found that mortality was 22.2% and acute symptomatic etiology played a 54.1% role in etiology. Advanced age, refractory SE or super-refractory SE, acute symptomatic etiology, and a history of epilepsy were related to mortality, symptomatic etiology (acute, progressive, remote), a history of hospitalization and epilepsy in intensive care or in other departments other than the neurology department were associated with disability. The sensitivity of STESS in predicting mortality was 100%, specificity was 69%, accuracy was 76.4%, positive predictive value (PPV) was 48.5%, and the negative predictive value (NPV) was 100%. The sensitivity of STESS in predicting mobilization during discharge was 55.6% with a 63.9% specificity and 59.7% accuracy, PPV was 60.6%, and NPV was 59%.

CONCLUSION

It was observed that STESS strongly predicts a good prognosis; however, it was not found to be useful in predicting motor disability during discharge. Thus, new studies should be conducted to predict and evaluate mobility in SE patients at discharge.

Utility of the END-IT Score to Predict the outcome of Childhood Status Epilepticus: A Retrospective Cohort Study

Introduction:

Scoring systems to predict outcomes in pediatric status epilepticus (SE) are limited. We sought to assess usefulness of the END-IT score in pediatric SE.

Methodology:

We conducted a retrospective study at a tertiary hospital in New Delhi, India. Children aged 1 month–18 years who presented with seizure for ≥5 min/actively convulsing to emergency were enrolled. END-IT score was calculated and correlated with outcome at discharge using Pediatric Overall Performance Category (POPC) scale, in-hospital mortality, and progression to refractory and super-refractory SE (SRSE).

Results:

We enrolled 140 children (mean age 5.8 years; 67.1% males). Seven children died and 15 had unfavorable outcomes. The predictive accuracy of END-IT at a cutoff of > 2: for unfavorable outcome (POPC score ≥3) was: sensitivity 0.73 (95% CI: 0.45–0.92), specificity 0.94 (95% CI: 0.89–0.98), PPV 0.61 (95% CI: 0.36–0.83), NPV 0.97 (95% CI: 0.92–0.99), positive likelihood ratio (13.09), F1 score (0.666); for death: sensitivity 0.86 (95% CI: 0.42–0.99), specificity 0.91 (95% CI: 0.85–0.95), PPV 0.33 (95% CI: 0.13–0.59), NPV 0.99 (95% CI: 0.96–1.00), F1 score (0.48); for RSE: sensitivity 0.80 (95%CI: 0.28–0.99), specificity 0.90 (95% CI: 0.83–0.94), PPV 0.22 (95% CI: 0.06–0.48) NPV 0.99 (95% CI: 0.96–1.00), F1 score (0.35); for SRSE: sensitivity 0.67 (95% CI: 0.22–0.96) specificity 0.75 (95% CI: 0.66–0.82), PPV 0.22 (95% CI: 0.06–0.48) NPV 0.98 (95% CI: 0.94–0.99), F1 score (0.33).

Conclusion:

We demonstrate utility of the END-IT score to predict short-term outcomes as well as progression to refractory and SRSE for the first time among children with SE.

Status Epilepticus in Patients with Anti-NMDAR Encephalitis Requiring Intensive Care: A Follow-Up Study

BACKGROUND

To date, specialized studies focusing on status epilepticus (SE) in anti-N-methyl D-aspartate receptor (anti-NMDAR) encephalitis are limited, and the association between the occurrence of SE and clinical outcome is controversial. This study aims to investigate the differences between patients with critical anti-NMDAR encephalitis with SE and patients who experienced epileptic seizures without SE and to evaluate the long-term disease outcomes of patients with anti-NMDAR encephalitis with SE who were admitted to the neurological intensive care unit (neuro-ICU).

METHODS

In this retrospective study based on a prospective registry, patients with anti-NMDAR encephalitis with neuro-ICU admission from 2014 to 2019 were analyzed and divided into two groups based on whether they had SE. Their clinical characteristics during the neuro-ICU stay were assessed and compared. The neurological and seizure outcomes were evaluated every 3 months.

RESULTS

Of 83 patients with anti-NMDAR encephalitis, 24 required intensive care. In the SE group, 38.5% (5 of 13) of patients developed refractory SE (RSE), and 21.3% (3 of 13) of patients developed super RSE. More patients in the SE group presented with seizures as the initial symptoms (53.8% vs. 9.1%, p = 0.033) and had a strong positive NMDAR antibody titer in the cerebrospinal fluid (76.9% vs. 27.3%, p = 0.043). More patients in the non-SE group had a good neurological outcome (modified Rankin Scale (mRS) score < 2) at 3 months after disease onset (60.0% vs. 15.4%, p = 0.039), but 83.3% of patients with SE had a mRS score < 2 at 9 months after disease onset, which was similar to the rate in the non-SE group. A total of 41.7% of patients with SE had their last seizure within 1 month from disease onset, which was significantly lower than the rate in the non-SE group (90%), but all the patients with SE became seizure free after the acute phase of disease.

CONCLUSIONS

Patients with critical anti-NMDAR encephalitis who present with SE have a high rate of RSE/super RSE and recover more slowly than patients without SE, but most of them will eventually achieve good long-term neurological outcomes and live seizure free after the acute phase.

Super-Refractory Status Epilepticus: Prognosis and Recent Advances in Management

Super-refractory status epilepticus (SRSE) is a life-threatening neurological emergency with high morbidity and mortality. It is defined as “status epilepticus (SE) that continues or recurs 24 hours or more after the onset of anesthesia, including those cases in which SE recurs on the reduction or withdrawal of anesthesia.” This condition is resistant to normal protocols used in the treatment of status epilepticus and exposes patients to increased risks of neuronal death, neuronal injury, and disruption of neuronal networks if not treated in a timely manner. It is mainly seen in patients with severe acute onset brain injury or presentation of new-onset refractory status epilepticus (NORSE). The mortality, neurological deficits, and functional impairments are significant depending on the duration of status epilepticus and the resultant brain damage. Research is underway to find the cure for this devastating neurological condition. In this review, we will discuss the wide range of therapies used in the management of SRSE, provide suggestions regarding its treatment, and comment on future directions. The therapies evaluated include traditional and alternative anesthetic agents with antiepileptic agents. The other emerging therapies include hypothermia, steroids, immunosuppressive agents, electrical and magnetic stimulation therapies, emergent respective epilepsy surgery, the ketogenic diet, pyridoxine infusion, cerebrospinal fluid drainage, and magnesium infusion. To date, there is a lack of robust published data regarding the safety and effectiveness of various therapies, and there continues to be a need for large randomized multicenter trials comparing newer therapies to treat this refractory condition.

A novel nomogram for early prediction of death in severe neurological disease patients with electroencephalographic periodic discharges

OBJECTIVE

To investigate death-related factors in patients with electroencephalographic (EEG) periodic discharges (PDs) and to construct a model for death prediction.

METHODS

This case-control study enrolled a total of 80 severe neurological disease patients with EEG PDs within 72 h of admission to the neuroscience intensive care unit (NICU). According to modified Rankin scale (mRS) scores half a year after discharge, patients were divided into a survival group (<6 points) and a death group (6 points). Their relevant clinical and biochemical indicators as well as EEG characteristics were retrospectively analyzed. Logistic regression analysis was used to identify the risk factors associated with the death of patients with EEG PDs. A death risk prediction model and an individualized nomogram prediction model were constructed, and the prediction performance and concordance of the models were evaluated.

RESULTS

Multivariate logistic regression analysis showed that the involvement of both gray and white matter in imaging, disappearance of EEG reactivity, occurrence of stimulus-induced rhythmic, periodic, or ictal discharges (SIRPIDs), and an interval time of 0.5-4 s were independent risk factors for death. A regression model was established according to the multivariate logistic regression analysis, and the area under the curve of this model was 0.9135. The accuracy of the model was 87.01%, the sensitivity was 87.17%, and the specificity was 89.17%. A nomogram model was constructed, and a concordance index of 0.914 was obtained after internal validation.

CONCLUSION

The regression model based on risk factors has high accuracy in predicting the risk of death of patients with EEG PDs.

SIGNIFICANCE

This model can help clinicians in the early assessment of the prognosis of severe neurological disease patients with EEG PDs.

Status epilepticus with prominent motor symptoms clusters into distinct electroclinical phenotypes

BACKGROUND AND PURPOSE

Status epilepticus (SE) is a heterogeneous condition and considerable variability exists in its etiology, semiology, electroencephalographic correlates, and response to treatment. The aim of the present study was to explore whether distinct phenotypes may be identified within SE with prominent motor symptoms.

METHODS

Consecutive episodes of SE with prominent motor symptoms in patients aged ≥14 years were included. Etiology of SE was defined as symptomatic (acute, remote, progressive) or unknown. Electroencephalogram (EEG) recordings were searched for lateralized periodic discharges (LPDs), generalized sharply and/or triphasic periodic potentials (GPDs), and spontaneous burst suppression (BS). According to treatment response, SE was classified into responsive, refractory and super-refractory. Average linkage hierarchical cluster analysis was performed with Pearson's correlation as a similarity measure.

RESULTS

A total of 240 episodes of SE were identified. Three major clusters were found. The first cluster linked focal motor SE evolving into non-convulsive SE (NCSE), presence of LPDs/GPDs on EEG, unknown etiology and treatment refractoriness. The second cluster linked convulsive and myoclonic SE evolving into NCSE, presence of spontaneous BS on EEG, progressive symptomatic etiology and super-refractoriness. The third cluster linked convulsive and myoclonic SE not evolving into other semiologies, absence of LPDs/GPDs/spontaneous BS on EEG, acute symptomatic etiology and treatment responsiveness.

CONCLUSIONS

Distinct electroclinical phenotypes characterized by different response to pharmacological intervention can be identified within the heterogeneity of SE with prominent motor phenomena.

Does continuous electroencephalography influence therapeutic decisions in neurocritical care?

OBJECTIVES

In the neurocritical care unit (neuro-ICU), the impact of continuous EEG (cEEG) on therapeutic decisions and prognostication, including outcome prediction using the Status Epilepticus Severity Score (STESS), is poorly investigated. We studied to what extent cEEG contributes to treatment decisions, and how this relates to clinical outcome and the use of STESS in neurocritical care.

METHODS

We included patients admitted to the neuro-ICU or neurological step-down unit of a tertiary referral hospital between 05/2013 and 06/2015. Inclusion criteria were ≥20 h of cEEG monitoring and age ≥15 years. Exclusion criteria were primary epileptic and post-cardiac arrest encephalopathies.

RESULTS

Ninety-eight patients met inclusion criteria, 80 of which had status epilepticus, including 14 with super-refractory status. Median length of cEEG monitoring was 50 h (range 21-374 h). Mean STESS was lower in patients with favorable outcome 1 year after discharge (modified Rankin Scale [mRS] 0-2) compared to patients with unfavorable outcome (mRS 3-6), albeit not statistically significant (mean STESS 2.3 ± 2.1 vs 3.6 ± 1.7, p = 0.09). STESS had a sensitivity of 80%, a specificity of 42%, and a negative predictive value of 93% for outcome. cEEG results changed treatment decisions in 76 patients, including escalation of antiepileptic treatment in 65 and reduction in 11 patients.

CONCLUSION

Status Epilepticus Severity Score had a high negative predictive value but low sensitivity, suggesting that STESS should be used cautiously. Of note, cEEG results altered clinical decision-making in three of four patients, irrespective of the presence or absence of status epilepticus, confirming the clinical value of cEEG in neurocritical care.

Prediction of in-hospital mortality in status epilepticus: Evaluation of four scoring tools in younger and older adult patients

OBJECTIVE

The goal of this study was to evaluate the predictive capacity of four scoring tools: the Status Epilepticus Severity Score (STESS), the Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT) score, and two variable combinations of the Epidemiology-based Mortality Score in Status Epilepticus (EMSE) in younger and older adult patients with status epilepticus (SE).

METHODS

We present a retrospective hospital-based analysis with a focus on adult patients with SE at three tertiary care hospitals in the Zhejiang province of China. Data were collected from January 2013 to December 2018. The patients were divided into two groups: younger adult patients (18-64 years old) and older adult patients (≥65 years old). Clinical outcomes (dead or alive) were assessed at hospital discharge. The four scoring tools were used to predict in-hospital mortality in both younger and older adult patients.

RESULTS

The mortality rate in older adult patients (25.4%) was higher than in younger adult patients (12.9%). Compared with the elderly, the younger adult patients had a higher proportion of encephalitis, while acute cerebrovascular disease and Charlson Complications Index (CCI) were lower. For the younger adult patients, END-IT had the largest area under the curve (AUC) of 0.843 (95% CI, 0.772-0.899), which was higher than the EMSE-EAL value of 0.687 (95% CI, 0.603-0.763, p < 0.05) and EMSE-EAC of 0.646 (95% CI, 0.561-0.725, p < 0.05). For the older adult patients, EMSE-EAL had the largest AUC of 0.843 (95% CI, 0.738-0.919), which was significantly higher than STESS with an AUC of 0.676 (95% CI, 0.554-0.782, p < 0.05). Moreover, the AUC of EMSE-EAL in the elderly was larger than in younger adult patients. The cutoffs in younger adult patients were STESS ≥ 4 (sensitivity 0.444, specificity 0.951), END-IT ≥ 3 (sensitivity 0.833, specificity 0.672), EMSE-EAL ≥ 31 (sensitivity 0.778, specificity 0.566), and EMSE-EAC ≥ 33 (sensitivity 0.833, specificity 0.492). However, the cutoffs in older adult patients were STESS ≥ 5 (sensitivity 0.500, specificity 0.925), END-IT ≥ 2 (sensitivity 0.944, specificity 0.547), EMSE-EAL ≥ 30 (sensitivity 0.944, specificity 0.623), and EMSE-EAC ≥ 31 (sensitivity 0.944, specificity 0.415).

CONCLUSION

Our results indicated that the STESS, END-IT, EMSE-EAC, and EMSE-EAL scores have excellent capacity to predict in-hospital mortality in both younger and older adult patients with SE. Our study supports the use of END-IT in patients under 65 years of age and suggests that EMSE-EAL is the most suitable scoring tool for patients over 65.

Development of a novel outcome prediction score (PEDSS) for pediatric convulsive status epilepticus: A longitudinal observational study

OBJECTIVE

The objectives of this study were to evaluate ENDIT score and develop a novel outcome prediction score for outcome of pediatric convulsive status epilepticus (CSE) at the hospital and 3 months postdischarge.

METHODS

Children and adolescents aged 1 month to 14 years, presenting with CSE to a tertiary care teaching center in North India from January 2017 to March 2019, were screened for enrollment. In-hospital and 3-month postdischarge outcome were defined as poor if Pediatric Cerebral Performance Category Scale (PCPCS) score dropped by ≥2 levels.

RESULTS

Overall, 61 patients were enrolled for final analysis after applying exclusion and inclusion criteria. The area under the receiver operating characteristic (ROC) curve for ENDIT score in predicting mortality and differentiating good from poor outcome at the hospital and at 3 months postdischarge was 0.74 (95% confidence interval [CI] = 0.58-0.89), 0.7 (95% CI = 0.57-0.83), and 0.72 (95% CI = 0.6-0.82), respectively. Based on predictors in the present cohort that were significantly different between good and poor outcome cases at the hospital and 3 months postdischarge, a new six-point score named PEDSS (pre-status epilepticus PCPCS, background electroencephalographic abnormalities, drug refractoriness, semiology, and critical sickness) was developed. The area under ROC curves for PEDSS score in predicting mortality and differentiating good from poor outcome at the hospital and at 3 months postdischarge were 0.93 (95% CI = 0.87-0.99), 0.8 (95% CI = 0.7-0.9), and 0.89 (95% CI = 0.8-0.96), respectively. The best cutoff PEDSS scores for predicting mortality and poor outcome at the hospital and at 3 months postdischarge were ≥4, ≥3, and ≥3, respectively.

SIGNIFICANCE

The PEDSS score has high predictive accuracy for mortality and differentiating good from poor outcome at the hospital and 3 months postdischarge in pediatric CSE. Future studies should be planned to validate it in various geographical and health care settings and in adults.

Association of systemic secondary brain insults and outcome in patients with convulsive status epilepticus: A post hoc study of a randomized controlled trial

OBJECTIVE

To evaluate the association between systemic factors (mean arterial blood pressure, arterial partial pressures of carbon dioxide and oxygen, body temperature, natremia, and glycemia) on day 1 and neurologic outcomes 90 days after convulsive status epilepticus.

METHODS

This was a post hoc analysis of the Evaluation of Therapeutic Hypothermia in Convulsive Status Epilepticus in Adults in Intensive Care (HYBERNATUS) multicenter open-label controlled trial, which randomized 270 critically ill patients with convulsive status epilepticus requiring mechanical ventilation to therapeutic hypothermia (32°C-34°C for 24 hours) plus standard care or standard care alone between March 2011 and January 2015. The primary endpoint was a Glasgow Outcome Scale score of 5, defining a favorable outcome, 90 days after convulsive status epilepticus.

RESULTS

The 172 men and 93 women had a median age of 57 years (45-68 years). Among them, 130 (49%) had a history of epilepsy, and 59 (29%) had a primary brain insult. Convulsive status epilepticus was refractory in 86 (32%) patients, and total seizure duration was 67 minutes (35-120 minutes). The 90-day outcome was unfavorable in 126 (48%) patients. In multivariate analysis, none of the systemic secondary brain insults were associated with outcome; achieving an unfavorable outcome was associated with age >65 years (odds ratio [OR] 2.17, 95% confidence interval [CI] 1.20-3.85; p = 0.01), refractory convulsive status epilepticus (OR 2.00, 95% CI 1.04-3.85; p = 0.04), primary brain insult (OR 2.00, 95% CI 1.02-4.00; p = 0.047), and no bystander-witnessed seizure onset (OR 2.49, 95% CI 1.05-5.59; p = 0.04).

CONCLUSIONS

In our population, systemic secondary brain insults were not associated with outcome in critically ill patients with convulsive status epilepticus.

CLINICALTRIALSGOV IDENTIFIER

NCT01359332.

Improving the ability to predict hospital mortality among adults by combining two status epilepticus outcome scoring tools

OBJECTIVE

The goal of this study was to compare the predictive ability of the Status Epilepticus Severity Score (STESS), the Encephalitis-nonconvulsive status epilepticus (NCSE)-Diazepam resistance-Image abnormalities-Tracheal intubation (END-IT), and the combination of these two scoring tools to predict mortality among inhospital patients with status epilepticus (SE).

METHODS

A retrospective analysis was conducted of adult patients with SE who were admitted to the neurology department, the emergency department, and the intensive care unit from January 2013 to December 2017. The patients were divided into two groups: survivors and nonsurvivors. The STESS data were obtained when the patient arrived at the hospital, and the END-IT data were collected 24 h after patients were initially treated in the hospital. The ability of the scoring tools to predict death in patients with SE, alone or in combination, was evaluated.

RESULTS

A total of 123 patients with SE were included in the study, of which 22 died, for a mortality rate of 17.9%. The STESS and END-IT scores of nonsurvivors were both significantly higher than those of survivors (median STESS 4 vs. 2, p = 0.003; median END-IT 3 vs. 1, p < 0.001). The area under the receiver operating characteristic curve (AUC) was 0.698 for the STESS and 0.852 for the END-IT, and the cutoff values were 4 and 3, respectively. The AUC of the END-IT with the optimal cutoff value was larger than that of the STESS (p = 0.024). The sensitivity and specificity of combining the STESS and END-IT by the serial method (STESS ≥ 4∩END-IT ≥ 3) were 0.50 and 0.95, respectively, and the specificity was significantly higher than the STESS or END-IT (both p's < 0.001). The sensitivity and specificity of combining the STESS and END-IT by the parallel method (STESS ≥ 4⋃END-IT ≥ 3) were 0.91 and 0.53, respectively, and the sensitivity was higher than the STESS was (p = 0.016).

CONCLUSION

Our results indicated that the combined score of the STESS and END-IT systems was a better predictor of survival of patients with SE than the scores of either the STESS system or the END-IT system alone and that combining the scores may be considered to be a new method for early identification of patients for both good and bad outcomes.

Markers in Status Epilepticus Prognosis

Status epilepticus (SE) is a neurologic emergency with high morbidity and mortality. The assessment of a patient's prognosis is crucial in making treatment decisions. In this review, we discuss various markers that have been used to prognosticate SE in terms of recurrence, mortality, and functional outcome. These markers include demographic, clinical, electrophysiological, biochemical, and structural data. The heterogeneity of SE etiology and semiology renders development of prognostic markers challenging. Currently, prognostication in SE is limited to a few clinical scores. Future research should integrate clinical, genetic and epigenetic, metabolic, inflammatory, and structural biomarkers into prognostication models to approach "personalized medicine" in prognostication of outcomes after SE.

Validation of the Status epilepticus severity score (STESS) at high-complexity hospitals in Medellín, Colombia

PURPOSE

The Status Epilepticus Severity Score (STESS) is one of the most well-known clinical scoring systems to predict mortality in status epilepticus (SE). The objective of this study was to validate STESS in a Colombian population.

METHOD

We evaluated historical data of adult patients (age ≥16 years) with a clinical or electroencephalographic diagnosis of SE admitted between 2014 and 2017. Prospectively, we included patients admitted from January to June of 2018. The primary outcome was in-hospital mortality. Receiver operating characteristic (ROC)-analysis, determination of best cutoff values, sensitivity, specificity, and positive and negative likelihood ratios were performed.

RESULTS

The sample was 395 patients, with in-hospital mortality of 16.8 %. The area under the ROC curve for STESS was 0.84. A cutoff point of ≥3 produced the highest sensitivity of 84.9 % (95 % CI 73.9 %-92.5 %) and a specificity of 65.7 % (95 % CI 60.2 %-70.8 %), with a positive likelihood ratio of 2.5 and a negative likelihood ratio of 0.2.

CONCLUSIONS

STESS is a useful tool to predict mortality in patients with SE. In Medellin, Colombia, a STESS < 3 allows the identification of the patients who survive reliably. Those patients with a score <3 may have a better prognosis, and treatment with fewer side effects than anaesthetics could be suggested, always remembering the importance of the treating physician's clinical judgement.

Gap Analysis Regarding Prognostication in Neurocritical Care: A Joint Statement from the German Neurocritical Care Society and the Neurocritical Care Society

Background/Objective

Prognostication is a routine part of the delivery of neurocritical care for most patients with acute neurocritical illnesses. Numerous prognostic models exist for many different conditions. However, there are concerns about significant gaps in knowledge regarding optimal methods of prognostication.

Methods

As part of the Arbeitstagung NeuroIntensivMedizin meeting in February 2018 in Würzburg, Germany, a joint session on prognostication was held between the German NeuroIntensive Care Society and the Neurocritical Care Society. The purpose of this session was to provide presentations and open discussion regarding existing prognostic models for eight common neurocritical care conditions (aneurysmal subarachnoid hemorrhage, intracerebral hemorrhage, acute ischemic stroke, traumatic brain injury, traumatic spinal cord injury, status epilepticus, Guillain–Barré Syndrome, and global cerebral ischemia from cardiac arrest). The goal was to develop a qualitative gap analysis regarding prognostication that could help inform a future framework for clinical studies and guidelines.

Results

Prognostic models exist for all of the conditions presented. However, there are significant gaps in prognostication in each condition. Furthermore, several themes emerged that crossed across several or all diseases presented. Specifically, the self-fulfilling prophecy, lack of accounting for medical comorbidities, and absence of integration of in-hospital care parameters were identified as major gaps in most prognostic models.

Conclusions

Prognostication in neurocritical care is important, and current prognostic models are limited. This gap analysis provides a summary assessment of issues that could be addressed in future studies and evidence-based guidelines in order to improve the process of prognostication.

Factors affecting mortality of refractory status epilepticus

OBJECTIVE

The aim of this study was to determine the factors affecting the mortality of refractory status epilepticus (RSE) in comparison with non-refractory status epilepticus (non-RSE).

MATERIAL-METHOD

Included in this retrospective study were 109 status epilepticus cases who were hospitalized in the neurological intensive care unit Katip Celebi University. Fifty-two were RSE and 57 were non-RSE. All clinical data were gathered from the hospital archives. Factors which may cause mortality were categorized for statistical analysis.

RESULTS

While elderly age, continuous clinical seizure activity, absence of former seizure, infection, prolonged stay of ICU, anesthesia, and cardiac comorbidity were significantly related to mortality in the RSE subgroup, potentially fatal accompanying diseases were significantly related to mortality in the non-RSE subgroup. No significant relationship was found between mortality and refractoriness. Multivariate analysis revealed that a Glasgow Coma Score (GCS) at presentation of 8 or lower was the independent predictor of mortality both in the general SE population (P = .017) and in the RSE subgroup (P = .007). Intubation (P = .011) and hypotension (P = .011) were the other independent predictors of mortality in the general SE population. No independent predictor of mortality was detected in the non-RSE subgroup.

DISCUSSION/CONCLUSION

Intubation, hypotension, and a low GCS at presentation could be the main factors which could alert clinicians of an increased risk of mortality in SE patients. Although non-RSE and RSE had similar rates of mortality in the ICU, the mortality-related factors of SE vary in the RSE and the non-RSE subgroups.