Mortality Of Status Epilepticus Research Articles

Mortality, and life expectancy in Epilepsy and Status epilepticus-current trends and future aspects.

Patients with epilepsy carry a risk of premature death which is on average two to three times higher than in the general population. The risk of death is not homogenously distributed over all ages, etiologies, and epilepsy syndromes. People with drug resistant seizures carry the highest risk of death compared to those who are seizure free, whose risk is similar as in the general population. Most of the increased risk is directly related to the cause of epilepsy itself. Sudden unexplained death in epilepsy patients (SUDEP) is the most important cause of epilepsy-related deaths especially in the young and middle-aged groups. Population based studies with long-term follow up demonstrated that the first years after diagnosis carry the highest risk of death, while in the later years the mortality decreases. Improved seizure control and being exposed to a specialized comprehensive care centre may help to reduce the risk of death in patients with epilepsy. The mortality of status epilepticus is substantially increased with case fatality rates between 4.6% and 39%, depending on its cause and duration, and the age of the population studied. The epidemiological data on overall and cause specific mortality as well as their determinants and risk factors are critically reviewed and methodological issues pertinent to the studies on mortality of epilepsy and Status epilepticus are discussed.

Development and Validation of a Nomogram Based on the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) Parameters to Predict 30-day Mortality in Status Epilepticus.

To develop a nomogram using the parameters of the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) and to evaluate its accuracy compared with the EMSE alone in the prediction of 30-day mortality in patients with status epilepticus (SE). We included a cohort of patients with SE aged ≥ 21years admitted from 2013 to 2021. Regression coefficients from the multivariable logistic regression model were used to generate a nomogram predicting the risk of 30-day mortality. Discrimination of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUCROC) with 95% confidence interval. Internal validation was performed by bootstrap resampling. Among 698 patients with SE, the 30-day mortality rate was 28.9% (202 of 698). On the multivariable analysis, all EMSE parameters (except for the comorbidity group including metastatic solid tumor or AIDS) were associated with a significantly higher risk of 30-day mortality and were included in the nomogram. The discriminatory capability of the nomogram with bootstrap resampling (5000 resamples) had an AUCROC of 0.830 (95% confidence interval 0.798-0.862). Conversely, the AUCROC of the EMSE was 0.777 (95% confidence interval 0.742-0.813). Thus, the probability that a patient who died within 30days from SE had a higher score than a patient who survived was 83%, indicating good discriminatory power of the nomogram. Conversely, the risk predicted using the EMSE alone was 77%. The nomogram was well calibrated. A nomogram based on EMSE parameters appears superior to the EMSE in predicting the risk of 30-day mortality after SE. The discrimination and calibration of the nomogram shows a better predictive accuracy than the EMSE alone.

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

Early prediction of long-term mortality in status epilepticus is important given the high fatality rate in the years after diagnosis. To improve prognostication of long-term mortality after status epilepticus diagnosis. 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. Long-term follow-up using data from national and local civil registries in Denmark, Norway, and Germany. 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. 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. 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.

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

ObjectiveThe 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). MethodsWe 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. ResultsThe 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). ConclusionOur 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.

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

PurposeThe 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. MethodWe 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. ResultsThe 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. ConclusionsSTESS 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.

One- to 10-year Status Epilepticus Mortality (SEM) score after 30\u2009days of hospital discharge: development and validation using competing risks analysis

BackgroundStatus epilepticus (SE) is an emergency neurological disorder that affects quality of life and is associated with high mortality risk. Three scores have been developed to predict the risk of in-hospital death, but these scores are poor discrimination of mortality after discharge. This study aimed to develop and validate a simple risk score for long-term mortality in SE patients.MethodsThis retrospective cohort study was conducted using SE patient data collected from Thailand’s Universal Coverage Scheme database between the fiscal years of 2005 and 2015 and followed-up to 2016. Patients who died in hospital or within 30 days after discharge were excluded. Data were divided at random into either a derivation or validation set. A proportional hazards model for the sub-distribution of competing risks was fitted with backward stepwise method. The coefficients from the model were used to develop a point-based scoring system. The discrimination ability of the model was evaluated using a time-dependent receiver operating characteristic (ROC) curve.ResultsA total of 20,792 SE patients (with ages ranging from the first day of life to 99 years at first admission) were randomly separated into two groups: 13,910 in the development group and 6882 in the validation group. A sub-distribution hazard model was used to determine nine predictors to be included in the final model, which was, in turn, used to develop the scoring system: age (0–19 points), male (two points), brain tumor (12 points), stroke (three points), cancer (11 points), diabetes (three points), chronic kidney disease (five points), pneumonia (five points), and urinary tract infection (four points). The possible total score ranged from zero to 64 and the cumulative incidence function was used to determine the probability of mortality associated with each total score within the first 10 years after the first admission. The area under the ROC curve (AUC) of the first to last time point ranged from 0.760 to 0.738.ConclusionA nine-factor risk score for predicting 10-year mortality in SE patients was developed. Further studies should focus on external validity and including a range seizure types and duration of seizure as the predictors.

Predictive performances of STESS and EMSE in a Norwegian adult status epilepticus cohort

Purpose“Status Epilepticus Severity Score” (STESS) and “Epidemiology-based Mortality Score in Status Epilepticus” (EMSE) are two clinical scoring systems aiming to predict mortality in status epilepticus (SE). The objective of this study was to compare their predictive performances in a cohort of 151 SE-patients from Oslo University Hospital in the period 2001–2017. MethodVariables used to calculate STESS (age, previous seizures, worst SE-semiology, level of consciousness) and two different versions of EMSE, EMSE-EAC (etiology, age, comorbidities) and EMSE-EACE (etiology, age, comorbidities, EEG-pattern), as well as outcome were collected retrospectively. Receiver Operating Characteristic (ROC)-analyses, determination of best cut-off values, sensitivity (Se), specificity (Sp), positive predictive value (PPV) and negative predictive value (NPV) were performed. In addition, Precision-Recall curves (PRC) were produced, plotting PPV as a function of Se. ResultsThirteen patients (9%) died during their hospital stay. STESS did not accurately predict mortality, with a ROC-curve showing an area under the curve (AUC) of 0.625(95%CI = 0.472-0.783), p = 0.15. EMSE-EAC performed better with an AUC of 0.714(95%CI = 0.552-0.873), p = 0.01 and a best cut-off value of 37. Se was 69.2%, Sp 72.1%, PPV 19% and NPV 96.2%. EMSE-EACE performed best with an AUC of 0.855(95%CI = 0.736-0.976), p < 0.0005 and a best cut-off value of 79. Se was 77.8%, Sp 87.8%, PPV 36.8% and NPV 97.7%. The PRC showed areas under the PRC of 0.23 for EMSE-EAC and 0.46 for EMSE-EACE. ConclusionsEMSE-EAC and EMSE-EACE performed better than STESS and may be useful in identifying the patients at risk of death in SE. PRC may give a more relevant visual representation of predictive utility than ROC-curves in situations of imbalanced datasets.

Association Between Hospital Volume and Mortality in Status Epilepticus: A National Cohort Study.

In various medical and surgical conditions, research has found that centers with higher patient volumes have better outcomes. This relationship has not previously been explored for status epilepticus. This study sought to examine whether centers that see higher volumes of patients with status epilepticus have lower in-hospital mortality than low-volume centers. Cohort study, using 2010-2015 data from the nationwide Case Mix Programme database of the U.K.'s Intensive Care National Audit and Research Centre. Greater than 90% of ICUs in United Kingdom, Wales, and Northern Ireland. Twenty-thousand nine-hundred twenty-two adult critical care admissions with a primary or secondary diagnosis of status epilepticus or prolonged seizure. Annual hospital status epilepticus admission volume. We used multiple logistic regression to evaluate the association between hospital annual status epilepticus admission volume and in-hospital mortality. Hospital volume was modeled as a nonlinear variable using restricted cubic splines, and generalized estimating equations with robust SEs were used to account for clustering by institution. There were 2,462 in-hospital deaths (11.8%). There was no significant association between treatment volume and in-hospital mortality for status epilepticus (p = 0.54). This conclusion was unchanged across a number of subgroup and sensitivity analyses, although we lacked data on seizure duration and medication use. Secondary analyses suggest that many high-risk patients were already transferred from low- to high-volume centers. We find no evidence that higher volume centers are associated with lower mortality in status epilepticus overall. It is likely that national guidelines and local pathways in the United Kingdom allow efficient patient transfer from smaller centers like district general hospitals to provide satisfactory patient care in status epilepticus. Future research using more granular data should explore this association for the subgroup of patients with refractory and superrefractory status epilepticus.

External validation of the epidemiology-based mortality score in status epilepticus in an American intensive care population

IntroductionAlthough overall mortality of status epilepticus is high, baseline patient characteristics and co-morbidities may be helpful to predict outcomes and shape treatment decisions. Two previously published scoring systems exist to predict outcomes: the Status Epilepticus Severity Score (STESS) and the Epidemiology-based Mortality Score in Status Epilepticus (EMSE). However, a comparison of the two scores has not previously been completed in an American intensive care unit. We hypothesize that both scores will adequately predict the primary outcome of in-hospital death, but that the EMSE may more accurately predict functional outcomes, and significantly impact treatment decisions for both clinicians and families. MethodsWe performed a retrospective analysis of all cases of status epilepticus admitted to the Neuro-Critical Care Unit (NCCU) at the Ohio State University Wexner Medical Center from 6/1/2014 – 8/31/2015. We collected data on age, comorbidities, EEG findings, and seizure history. The primary outcome measured was in-hospital death; secondary outcomes included length of stay in the NCCU, placement of a tracheostomy and/or a percutaneous endoscopic gastrostomy upon discharge, and discharge location were used as surrogate markers for outcome severity. A sensitivity and specificity analysis was carried out, in addition to a student’s t-test for a comparison of the two scores. ANOVA was completed to compare secondary outcomes ResultsForty-six patients were admitted to the NCCU for management of status epilepticus during June 2014 and January 2016, thirteen of which experienced in-hospital death. The median age of the sample was 60, with approximately half of the sample (52.63%) having 3 or more comorbidities. The sensitivity of both EMSE and STESS were very high (100% and 90% respectively); however, the specificities were very low (28.6% and 42.9% respectively). A student’s t-test between those who experienced in-hospital death and those who did not was only significant for EMSE at the p < 0.1 level (p = 0.055). Additionally, mean EMSE scores but not STESS scores, were significantly higher (p < 0.001) for those patients who were discharged to skilled nursing facilities or with hospice than compared to those who were discharged to home or to acute inpatient rehabilitation. ConclusionsThe EMSE and STESS may be useful to predict outcomes of status epilepticus in populations with few comorbid conditions, but are less helpful when patients have multiple medical problems. Secondly, while neither score may be specific enough to differentiate for the primary outcome of death, their utility may be helpful to predict secondary outcomes that strongly affect clinical decisions. Based on these results, we believe a prospective trial of EMSE and STESS should be carried out to obtain more information on their utility, especially in American patients who may have more relevant comorbidities than in other countries.

Risk score predictive of mortality in status epilepticus according to a national database.

Status epilepticus (SE) is a serious neurologic condition with high morbidity and mortality rates. This study aimed to develop and validate a risk score that is predictive of mortality in patients with SE using clinical factors without electrocardiography. The inclusion criteria of this study were all patients diagnosed with SE and treated between 2005 and 2015. We retrospectively searched for eligible patients using the International Classification of Diseases, Tenth Revision (ICD-10) code for SE (G41) in the national Universal Health Coverage database. The outcome was death at discharge or within 30days after discharge. Factors-associated death was analyzed using stepwise logistic regression analysis. Risk scores were developed based on the final logistic regression model. The final model was also validated. There were 10924 patients used for model development and 10808 used for model validation. The formula to determine the risk score for SE mortality was 5×shock+4×age over 60 years old+3.5×heart diseases+3×acute renal failure+3×septicemia+2.5×central nervous system infection+2.5×age 41-60 years old+2×cancer+2×chronic renal failure+1.5×age 21-40 years old+1×pneumonia+1×respiratory failure+1×anemia. The risk scores of greater than 4 indicated risk for mortality with a sensitivity of 78.20% and specificity of 75.38%. The area under the receiver-operating characteristic (ROC) curve for death in the final model was 83.59%. The area under the ROC curve for the model validation group was 83.52%. SE patients who had a risk score of 4 or more were at high risk for death. Physicians should be aware of the high mortality rate in these particular patients.

Comparison of scoring tools for the prediction of in-hospital mortality in status epilepticus

PurposeSeveral scoring tools have been developed for the prognostication of outcome after status epilepticus (SE). In this study, we compared the performances of STESS (Status Epilepticus Severity Score), mSTESS (modified STESS), EMSE-EAL (Epidemiology-based Mortality Score in Status Epilepticus- Etiology, Age, Level of Consciousness) and END-IT (Encephalitis-NCSE-Diazepam resistance-Image abnormalities-Tracheal intubation) in predicting in-hospital mortality after SE. MethodData collected retrospectively from a cohort of 287 patients with SE were used to calculate STESS, mSTESS, EMSE-EAL, and END-IT scores. The differences between the scores’ performances were determined by means of area under the ROC curve (AUC) comparisons and McNemar testing. ResultsThe in-hospital mortality rate was 11.8%. The AUC of STESS (0.628; 95% confidence interval (CI), 0.529–0.727) was similar to that of mSTESS (0.620; 95% CI, 0.510–0.731), EMSE-EAL (0.556; 95% CI, 0.446–0.665), and END-IT (0.659; 95% CI, 0.550–0.768; p > .05 for each comparison) in predicting in-hospital mortality. STESS with a cutoff of 3 was found to have lowest specificity and number of correctly classified episodes. EMSE-EAL with a cutoff at 40 had highest specificity and showed a trend towards more correctly classified episodes while sensitivity tended to be low. END-IT with a cutoff of 3 had the most balanced sensitivity-specificity ratio. ConclusionsEMSE-EAL is as easy to calculate as STESS and tended towards higher diagnostic accuracy. Adding information on premorbid functional status to STESS did not enhance outcome prediction. END-IT was not superior to other scores in prediction of in-hospital mortality despite including information of diagnostic work-up and response to initial treatment.

Status Epilepticus in Children: A Study of 54 Cases

Objectives: To review the clinical character, the management and outcome of status epilepticus in children. Methodology: We conducted a retrospective review of 54 cases treated between 1996 and 1997 at the Royal Alexandra Hospital for Children, Sydney, Australia. Among the variables collected for analysis in this study were age, sex, etiology of status epilepticus, median length of Paediatric Intensive Care Unit (PICU) stay and days of mechanical ventilation, and mortality of status epilepticus. Results: Of the patients with status epilepticus, 61% were male and 39% female, with an age range of 3 months to 15 years (mean 5.3 years). The etiology of status epilepticus is largely age related, with acute causes common in 1 - 3 year and 4 - 7 year ages, 44 cases (81.5%). The etiology of status epilepticus included febrile (35.18%), acute symptomatic (27.58%) and idiopathic (16.6%), total was 44 cases (81.4%). Median length of PICU stay and days of mechanical ventilation were 3.02 ± 1.6 days and 1.24 ± 0.5 days respectively. Mortality was 5.3%. Most patients were treated with diazepam and phenytoin. The total number of the patients with a favorable outcome was 41 (75.89%). Conclusions: One of the most common neurologic emergencies in children of status epilepticus remains a major problem in morbidity and mortality. There are multiple causes of status epilepticus that include the categories of idiopathic, febrile, acute symptomatic and remote symptomatic. Intravenously administered phenytoin and diazepam remains the first-line therapy for status epilepticus. Most of the patients will respond to this treatment. The etiology of status epilepticus included febrile (35.18%), acute symptomatic (27.58%), idiopathic (16.6%) and total was 44 (81.4%).

Predictors of In-Hospital Mortality in Status Epilepticus; Data from The Nationwide Inpatient Sample Database, 2008-2012 (P7.004)

Predictors of In-Hospital Mortality in Status Epilepticus; Data from The Nationwide Inpatient Sample Database, 2008-2012 (P7.004)

Age-dependent sex difference of the incidence and mortality of status epilepticus: a twelve year nationwide population-based cohort study in Taiwan.

Status epilepticus (SE) is a serious neurologic emergency associated with a significant mortality. The objective of this study is to investigate its epidemiology in terms of age- and sex-specific incidences and mortality. By using the Taiwan National Health Insurance Research Database during 2000 to 2011, we identified hospitalized patients with a discharged diagnosis of SE and calculated the incidence and in-hospital mortality of SE with respect to age and sex. The overall incidence of SE was 4.61 per 100,000 person-years, which displayed a “J-shaped” distribution by age with a little higher under the age of 5 and highest over 60 years. The male-to-female rate ratio was 1.57 and it demonstrated a “mountain-shape” across ages with the peak at 45 to 49 years old. The in-hospital mortality was significantly lower in males (7.38%) than in females (11.12%) with an odds ratio of 0.64 (95% CI 0.56-0.72). Notably, the in-hospital mortality for females increased rapidly after the age of 40 to 45 years. The multivariate analysis found males had a significantly lower risk of mortality than females after, but not before, 45 years of age with an odds ratio of 0.56 (95% CI 0.49-0.65). Sex and age are crucial factors associated with the incidence and in-hospital mortality of SE. The females over 45 years of age have a higher risk of occurrence and mortality from SE. The underlying mechanism deserves further study.

Hospital Mortality in Primary Admissions of Septic Patients With Status Epilepticus in the United States*

To determine the prevalence of status epilepticus, associated factors, and relationship with in-hospital mortality in primary admissions of septic patients in the United States. Cross-sectional study. Primary admissions of adult patients more than 18 years old with a diagnosis of sepsis and status epilepticus from 1988 to 2008 identified through the Nationwide Inpatient Sample. A total of 7,669,125 primary admissions of patients with sepsis. None. During the 21-year study period, the prevalence of status epilepticus in primary admissions of septic patients increased from 0.1% in 1988 to 0.2% in 2008 (p < 0.001). Status epilepticus was also more common among later years, younger admissions, female gender, Black race, rural hospital admissions, and in those patients with organ dysfunctions. Mortality of primary sepsis admissions decreased from 20% in 1988 to 18% in 2008 (p < 0.001). Mortality in status epilepticus during sepsis decreased from 43% in 1988 to 28% in 2008. In-hospital mortality after admissions for sepsis was associated with status epilepticus, older age, and Black and Native American/Eskimo race; patients admitted to a rural or urban private hospitals; and patients with organ dysfunctions. Our analysis demonstrates that status epilepticus after admission for sepsis in the United States was rare. Despite an overall significant reduction in mortality after admission for sepsis, status epilepticus carried a higher risk of death. More aggressive electrophysiological monitoring and a high level of suspicion for the diagnosis of status epilepticus may be indicated in those patients with central nervous system organ dysfunction after sepsis.

Acute-Phase Proteins and Mortality in Status Epilepticus

Acute-phase proteins, such as C-reactive protein and albumin, may be related with course and outcome in status epilepticus, as changes of cytokine levels and blood-brain barrier breakdown during status epilepticus have been demonstrated. The aim of this study was to elucidate the association of C-reactive protein and albumin with course and outcome of status epilepticus. Observational cohort study. This study was performed on the ICU of a university-affiliated tertiary care center. All consecutive patients with status epilepticus from 2005 to 2009 were selected from a prospectively established electroencephalography database. None. Albumin was assessed at admission and status epilepticus onset, and C-reactive protein was assessed during the first 3 days of status epilepticus. Outcomes were defined as refractory status epilepticus and death. One hundred thirty-five consecutive status epilepticus patients were analyzed. Patients with higher levels of albumin at status epilepticus onset had significant lower odds for the development of refractory status epilepticus and death (with every 1g/L: odds ratio 0.91, 95% confidence interval 0.86-0.96, p = 0.001; odds ratio 0.88, 95% confidence interval 0.82-0.95, p < 0.0001, respectively). These associations remained significant after multiple adjustments for possible confounders and correction for multiple comparisons (with every 1g/L: odds ratio 0.92, 95% confidence interval 0.86-0.97, p = 0.004; odds ratio 0.87, 95% confidence interval 0.80-0.94, p = 0.001, respectively). Increased C-reactive protein levels at status epilepticus onset were associated with higher rates of refractory status epilepticus and death (with every 1mg/L: odds ratio 1.01, 95% confidence interval 1.00-1.02, p = 0.021; odds ratio 1.01, 95% confidence interval 1.00-1.02, p < 0.007, respectively). These associations were inconsistent after adjustment for possible confounders and corrections for multiple comparisons (with every 1mg/L: odds ratio 1.01, 95% confidence interval 1.00-1.02, p = 0.109; odds ratio 1.01, 95% confidence interval 1.00-1.02, p = 0.043). Albumin levels measured early in status epilepticus are independently associated with refractory epileptic activity and death while C-reactive protein levels were inconsistent. Further studies are needed to assess the potential of acute-phase proteins for inclusion in prediction models allowing to identify patients with poor outcome of status epilepticus.

RSE prediction by EEG patterns in adult GCSE patients

Electroencephalogram (EEG) can predict mortality in status epilepticus (SE) patients. However, we consider that the prediction for refractory status epilepticus (RSE) after SE initial treatment is more significant than long-term prognosis of SE. The objective of this study is to detect some predictive EEG patterns for RSE. Pooled data derived from two randomized controlled trials (RCTs) were prospectively analyzed in adult generalized convulsive status epilepticus (GCSE) patients. Etiology, GCSE duration and EEG patterns are three factors which were statistically different between non-RSE and RSE groups. However, when we introduced these factors into multivariable logistic regression model, only EEG pattern was an independent risk factor for RSE prediction. Comparing with rhythmic fast activities background (RFAB) pattern, there were positive correlations between interictal epileptiform discharges (IEDs), periodic epileptic discharges/subtle status epilepticus (PEDs/subtle SE) patterns and RSE incidence respectively. There was an increased risk of RSE incidence accompanied with IEDs and PEDs/subtle SE patterns appearance. Clinicians should adjust anti-epileptic strategies with the aid of these EEG patterns in order to reduce RSE incidence.

Incidence, risk factors, and impact on mortality of status epilepticus in sepsis in the United States

We sought to determine the epidemiology of status epilepticus (SE), prevalence of risk factors and impact on hospital mortality in sepsis in the United States. We hypothesized that SE would be associated with increased mortality.

Incidence, risk factors, and impact on hospital mortality of status epilepticus after subdural hemorrhage in the United States

Patients with intracranial hemorrhages are at risk of seizure activity. Small cohort studies have shown that patients with subdural hemorrhages (SDH) may be at risk of developing status epilepticus (SE). In this study, we sought to determine the epidemiology of SE, the prevalence of risk factors, and the impact on hospital mortality in SDH, using a large administrative dataset.

MO07 Evaluation of demographic data and mortality in status epilepticus caused by infections

MO07 Evaluation of demographic data and mortality in status epilepticus caused by infections