Health care utilization and mortality for people with epilepsy during COVID-19: A population study.

OBJECTIVE: This study was undertaken to characterize changes in health care utilization and mortality for people with epilepsy (PWE) during the COVID-19 pandemic. METHODS: We performed a retrospective study using linked, individual-level, population-scale anonymized health data from the Secure Anonymised Information Linkage databank. We identified PWE living in Wales during the study "pandemic period" (January 1, 2020-June 30, 2021) and during a "prepandemic" period (January 1, 2016-December 31, 2019). We compared prepandemic health care utilization, status epilepticus, and mortality rates with corresponding pandemic rates for PWE and people without epilepsy (PWOE). We performed subgroup analyses on children (<18 years old), older people (>65 years old), those with intellectual disability, and those living in the most deprived areas. We used Poisson models to calculate adjusted rate ratios (RRs). RESULTS: We identified 27 279 PWE who had significantly higher rates of hospital (50.3 visits/1000 patient months), emergency department (55.7), and outpatient attendance (172.4) when compared to PWOE (corresponding figures: 25.7, 25.2, and 87.0) in the prepandemic period. Hospital and epilepsy-related hospital admissions, and emergency department and outpatient attendances all reduced significantly for PWE (and all subgroups) during the pandemic period. RRs [95% confidence intervals (CIs)] for pandemic versus prepandemic periods were .70 [.69-.72], .77 [.73-.81], .78 [.77-.79], and .80 [.79-.81]. The corresponding rates also reduced for PWOE. New epilepsy diagnosis rates decreased during the pandemic compared with the prepandemic period (2.3/100 000/month cf. 3.1/100 000/month, RR = .73, 95% CI = .68-.78). Both all-cause deaths and deaths with epilepsy recorded on the death certificate increased for PWE during the pandemic (RR = 1.07, 95% CI = .997-1.145 and RR = 2.44, 95% CI = 2.12-2.81). When removing COVID deaths, RRs were .88 (95% CI = .81-.95) and 1.29 (95% CI = 1.08-1.53). Status epilepticus rates did not change significantly during the pandemic (RR = .95, 95% CI = .78-1.15). SIGNIFICANCE: All-cause non-COVID deaths did not increase but non-COVID deaths associated with epilepsy did increase for PWE during the COVID-19 pandemic. The longer term effects of the decrease in new epilepsy diagnoses and health care utilization and increase in deaths associated with epilepsy need further research.

Hospital variation of outcomes in status epilepticus.

OBJECTIVE: Understanding factors driving variation in status epilepticus outcomes would be critical to improve care. We evaluated the degree to which patient and hospital characteristics explained hospital-to-hospital variability in intubation and postacute outcomes. METHODS: This was a retrospective cohort study of Medicare beneficiaries admitted with status epilepticus between 2009 and 2019. Outcomes included intubation, discharge to a facility, and 30- and 90-day readmissions and mortality. Multilevel models calculated percent variation in each outcome due to hospital-to-hospital differences. RESULTS: We included 29 150 beneficiaries. The median age was 68 years (interquartile range [IQR] = 57-78), and 18 084 (62%) were eligible for Medicare due to disability. The median (IQR) percentages of each outcome across hospitals were: 30-day mortality 25% (0%-38%), any 30-day readmission 14% (0%-25%), 30-day status epilepticus readmission 0% (0%-3%), 30-day facility stay 40% (25%-53%), and intubation 46% (20%-61%). However, after accounting for many hospitals with small sample size, hospital-to-hospital differences accounted for 2%-6% of variation in all unadjusted outcomes, and approximately 1%-5% (maximally 8% for 30-day readmission for status epilepticus) after adjusting for patient, hospitalization, and/or hospital characteristics. Although many characteristics significantly predicted outcomes, the largest effect size was cardiac arrest predicting death (odds ratio = 10.1, 95% confidence interval = 8.8-11.7), whereas hospital characteristics (e.g., staffing, accreditation, volume, setting, services) all had lesser effects. SIGNIFICANCE: Hospital-to-hospital variation explained little variation in studied outcomes. Rather, certain patient characteristics (e.g., cardiac arrest) had greater effects. Interventions to improve outcomes after status epilepticus may be better focused on individual or prehospital factors, rather than at the inpatient systems level.

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.

Diazepam Monotherapy or Diazepam-Ketamine Dual Therapy at Different Time Points Terminates Seizures and Reduces Mortality in a Status Epilepticus Animal Model.

BACKGROUND Being refractory to drugs remains an urgent treatment problem in status epilepticus (SE). The fact that γ-aminobutyric acid A receptors (GABAARs) become internalized and inactive, N-methyl-D-aspartate receptors (NMDARs) become externalized and active during SE may explain the refractoriness to benzodiazepine. However, the real-time dynamic efficacy of antiepileptic drugs remains unclear. Therefore, we propose a hypothesis that diazepam monotherapy or diazepam-ketamine dual therapy could terminate seizures and reduce mortality in the SE model at different time points during ongoing SE. MATERIAL AND METHODS An SE model was established in adult Sprague-Dawley rats with lithium and pilocarpine. The GABAAR agonist diazepam was injected at 5, 10, 20, or 30 min when SE continued. In addition, diazepam and the NMDAR antagonist ketamine were injected at 10 to 60 min at 6 different time points. We measured seizure-free rates, seizure duration, degree of behavioral seizure, and mortality. RESULTS Diazepam monotherapy at 5 min and 10 min from the beginning of SE was able to terminate seizures and improved survival rates. Diazepam-ketamine dual therapy at 10 min, 20 min, and 30 min from the beginning of SE terminated seizures and achieved high survival rates. CONCLUSIONS In this parallel randomized controlled trial with a rat model, we found that diazepam monotherapy was an effective antiepileptic strategy at the early stage of SE less than 10 min after SE onset. If SE lasts more than 10 min but less than 30 min, the diazepam-ketamine dual therapy strategy may be an appropriate choice.

De-novo non-convulsive status epilepticus in adult medical inpatients without known epilepsy: Analysis of mortality related factors and literature review.

BACKGROUND: Non-convulsive status epilepticus (NCSE) often goes unnoticed and is not easily detected in patients with a decreased level of consciousness, especially in older patients. In this sense, lack of data in this population is available. AIMS: The aim of the present study was to examine daily clinical practice and evaluate factors that may influence the prognosis of NCSE in non-epileptic medical inpatients. METHODS: We conducted a retrospective analysis including patients admitted by any cause in an Internal Medicine ward. All patients with compatible symptoms, exclusion of other causes, clinical suspicion or diagnosis of NCSE, and compatible EEG were included. Patients with a previous diagnosis of epilepsy were excluded. We also conducted a literature review by searching the PubMed/Medline database with the terms: Nonconvulsive Status OR Non-Convulsive Status. RESULTS: We included 54 patients, mortality rate reached 37% and the main factors linked to it were hypernatremia (OR = 16.2; 95% CI, 1.6-165.6; P = 0.019) and atrial fibrillation (OR = 6.7; 95% CI, 1.7-26; P = 0.006). There were no differences regarding mortality when comparing different diagnosis approach or treatment regimens. Our literature review showed that the main etiology of NCSE were neurovascular causes (17.8%), followed by antibiotic treatment (17.2%) and metabolic causes (17%). Global mortality in the literature review, excluding our series, reached 20%. DISCUSSION: We present the largest series of NCSE cases in medical patients, which showed that this entity is probably misdiagnosed in older patients and is linked to a high mortality. CONCLUSION: The presence of atrial fibrillation and hypernatremia in patients diagnosed with NCSE should advise physicians of a high mortality risk.

Sumatriptan reduces severity of status epilepticus induced by lithium-pilocarpine through nitrergic transmission and 5-HT1B/D receptors in rats: A pharmacological-based evidence.

Status epilepticus (SE) is a life-threatening neurologic disorder that can be as both cause and consequence of neuroinflammation. In addition to previous reports on anti-inflammatory property of the anti-migraine medication sumatriptan, we have recently shown its anticonvulsive effects on pentylenetetrazole-induced seizure in mice. In the present study, we investigated further (i) the effects of sumatriptan in the lithium-pilocarpine SE model in rats, and (ii) the possible involvement of nitric oxide (NO), 5-hydroxytryptamin 1B/1D (5-HT1B/1D ) receptor, and inflammatory pathways in such effects of sumatriptan. Status epilepticus was induced by lithium chloride (127 mg/kg, i.p) and pilocarpine (60 mg/kg, i.p.) in Wistar rats. While SE induction increased SE scores and mortality rate, sumatriptan (0.001-1 mg/kg, i.p.) improved it (P < 0.001). Administration of the selective 5-HT1B/1D antagonist GR-127935 (0.01 mg/kg, i.p.) reversed the anticonvulsive effects of sumatriptan (0.01 mg/kg, i.p.). Although both tumor necrosis factor-α (TNF-α) and NO levels were markedly elevated in the rats' brain tissues post-SE induction, pre-treatment with sumatriptan significantly reduced both TNF-α (P < 0.05) and NO (P < 0.001) levels. Combined GR-127935 and sumatriptan treatment inhibited these anti-inflammatory effects of sumatriptan, whereas combined non-specific NOS (L-NAME) or selective neuronal NOS (7-nitroindazole) inhibitors and sumatriptan further reduced NO levels. In conclusion, sumatriptan exerted a protective effect against the clinical manifestations and mortality rate of SE in rats which is possibly through targeting 5-HT1B/1D receptors, neuroinflammation, and nitrergic transmission.

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.

EEG findings and clinical prognostic factors associated with mortality in a prospective cohort of inpatients with COVID-19.

PURPOSE: Our objective is to describe the most prevalent electroencephalographic findings in COVID-19 hospitalized patients, and to determine possible predictors of mortality including EEG and clinical variables. METHODS: A multicentric prospective observational study in patients with COVID-19 requiring EEG during hospitalization. RESULTS: We found 94 EEG from 62 patients (55 % men, mean age 59.7 ± 17.8 years) were analyzed. Most frequent comorbidity was cardiac (52 %), followed by metabolic (45 %) and CNS disease (39 %). Patients required ICU management by 60 %, with a mortality of 27 % in the whole cohort. The most frequent EEG finding was generalized continuous slow-wave activity (66 %). Epileptic activity was observed in 19 % including non-convulsive status epilepticus, seizures and interictal epileptiform discharges. Periodic patterns were observed in 3 patients (3.2 %). Multivariate analysis found that cancer comorbidity and requiring an EEG during the third week of evolution portended a higher risk of mortality CONCLUSION: We observed that the most prevalent EEG finding in this cohort was generalized continuous slow-wave activity, while epileptic activity was observed in less than 20 % of the cases. Mortality risk factors were comorbidity with cancer and requiring an EEG during the third week of evolution, possibly related to the hyperinflammatory state.

Assessing the Risk/Benefit at Status Epilepticus Onset: The Prognostic Scores.

Status epilepticus is a medical emergency with a wide range of etiology, severity, and outcome. Different scores that can help in the stratification of a patient's risk of mortality have been published. This study describes and compares the three available scores (Status Epilepticus Severity Score, Epidemiology-Based Mortality Score in Status Epilepticus and Encephalitis, Nonconvulsive, Diazepam resistance, Imaging, Tracheal intubation).

Tumor-associated status epilepticus: A prospective cohort in a tertiary hospital.

INTRODUCTION: Tumor-associated status epilepticus (TASE) follows a relatively benign course compared with SE in the general population. Little, however, is known about associated prognostic factors. METHODS: We conducted a prospective, observational study of all cases of TASE treated at a tertiary hospital in Barcelona, Spain between May 2011 and May 2019. We collected data on tumor and SE characteristics and baseline functional status and analyzed associations with outcomes at discharge and 1-year follow-up. RESULTS: Eighty-two patients were studied; 58.5% (n = 48) had an aggressive tumor (glioblastoma or brain metastasis). Fifty-one patients (62.2%) had a favorable outcome at discharge compared with just 30 patients (25.8%) at 1-year follow-up. Fourteen patients (17.1%) died during hospitalization. Lateralized period discharges (LPDs) on the baseline electroencephalography (EEG), presence of metastasis, and SE severity were significantly associated with a worse outcome at discharge. The independent predictors of poor prognosis at 1-year follow-up were SE duration of at least 21 h, an aggressive brain tumor, and a nonsurgical treatment before SE onset. Lateralized period discharges, super-refractory SE, and an aggressive tumor type were independently associated with increased mortality. CONCLUSIONS: Status epilepticus duration is the main modifiable factor associated with poor prognosis at 1-year follow-up. Accordingly, patients with TASE, like those with SE of any etiology, should receive early, aggressive treatment.

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.

Clinical Profile and Short-term Outcome of Pediatric Status Epilepticus at a Tertiary-care Center in Northern India.

OBJECTIVE: To assess clinical profile and short term treatment outcomes of pediatric status epilepticus (SE) at a tertiary-care center in northern India. METHODS: Prospective cohort study enrolled children aged 1 month to 18 years presenting with SE to the emergency department. Enrolled children (109) were treated as per hospital protocols. Clinical features during hospitalization were noted. Pediatric overall performance category (POPC) scale was used for classification of outcome at the time of discharge. RESULTS: Acute symptomatic etiology was identified in 66 (60.6%) cases (CNS infections were predominant). Previous diagnosis of epilepsy was found in 32 (29.4%) children; and benzodiazepine responsive SE were seen in 65 (59.6%) children. Predictors of unfavorable outcome were acute symptomatic etiology (adjusted OR 4.50; 95% CI 1.49, 13.62) and no treatment administered prior to hospital (adjusted OR 3.97; 95% CI 1.06, 14.81). CONCLUSIONS: Acute symptomatic etiology, mainly acute CNS infections, is the leading cause of SE in this region. Early and pre-hospital management with benzodiazepines may improve SE outcome.

Status epilepticus severity score as a predictor for the length of stay at hospital for acute-phase treatment in convulsive status epilepticus.

To date, hospital length of stay (LOS) determinants for convulsive status epilepticus's (CSE) acute-phase treatment have not been sufficiently investigated, as opposed to those for status epilepticus's (SE) outcome predictors, such as status epilepticus severity score (STESS). Here, we aimed at assessing the significance of STESS in the LOS in patients with CSE. We retrospectively reviewed consecutive adult patients with CSE who were transported to the emergency department of our urban tertiary care hospital in Tokyo, Japan. The study period was from August 2010 to September 2015. The primary endpoint was the LOS of patients with CSE who were directly discharged after acute-phase treatment, and survival analysis for LOS until discharge was conducted. As a result, among 132 eligible patients with CSE admitted to our hospital, 96 (72.7%) were directly discharged with a median LOS of 10 days (IQR: 4-19 days). CSE patients with severe seizures, represented by higher STESS (≥3), had a significantly longer LOS after adjustments with multiple covariates (p = 0.016, in restricted mean survival time analysis). Additionally, prediction for the binomial longer/shorter LOS achieved better performance when STESS was incorporated into the prediction model. Our findings indicate that STESS can also be used as a rough predictor of longer LOS at index admission of patients with CSE.

Predisposing factors and prognosis of status epilepticus in patients with autoimmune encephalitis.

The aim of this study was to study the predisposing factors and prognosis of status epilepticus (SE) in patients with autoimmune encephalitis (AE).A total of 227 cases of AE were collected from the inpatient department of West China Hospital of Sichuan University from January 2010 to May 2018. All patients met the 2015 criteria for the diagnosis of AE. The binary logistic regression model was used to multivariate and retrospective chart analysis the predisposition factors for SE and its prognostic factors.Of the 227 patients with AE, 50 (22.03%) had SE during hospitalization, and 19 patients with SE had a poor prognosis (modified Rankin score MRS = 3-6), and 7 patients with no SE had a poor prognosis. In the logistic regression model, electroencephalograms (EEGs) abnormalities (P = .000) and head magnetic resonance imaging (MRI) abnormalities (P = .003) were associated with a predisposition to SE, while Glasgow scores <8 (P = .027), abnormal EEG (P = .046), delayed immunotherapy (P = .012), and SE duration at admission lasting >30 minutes (P = .023) were risk factors for a poor prognosis of SE.SE is a common complication in patients with AE. EEG and MRI abnormalities may be predisposing factors for SE. Glasgow scores <8 points, abnormal EEG, delayed immunotherapy, and SE duration lasting >30 minutes at admission are risk factors for a poor prognosis in patients with SE.

Changes in Real-world Practice Patterns of Antiepileptic Drugs for Status Epilepticus: A Nationwide Observational Study in Japan.

Intravenous (i.v.) phenytoin/fosphenytoin is recommended as the second-line therapy of antiepileptic drugs in patients with status epilepticus (SE). i.v. Levetiracetam is regarded as an effective and safe equivalent with i.v. phenytoin/fosphenytoin. However, i.v. levetiracetam is not covered by public health insurance for SE in most countries. For this study, we performed the real-world practice pattern survey of antiepileptic drugs for status epilepticus using the nationwide inpatient database. We used the Japanese Diagnosis Procedure Combination inpatient database in Japan and identified all cases of emergency admission attributable to status epilepticus from March 2011 through March 2018. We described the patient characteristics and practice pattern of antiepileptic drugs. The analysis conducted for this study examined 31,472 cases. As the second-line therapy, the use of i.v. levetiracetam increased rapidly from 2016; 35% of cases received i.v. levetiracetam in 2017. By contrast, the use of i.v. phenytoin/fosphenytoin decreased from 2016. In-hospital mortality decreased year-by-year. No year-by-year change was observed for deaths within 24 h, length of hospital stay, drug-induced hepatitis, or drug-induced eruption. Although the use of levetiracetam for treatment of SE is not compensated by public health insurance in Japan, i.v. levetiracetam use is increasing dramatically as the second-line SE therapy. We propose that health insurance coverage be extended to include i.v. levetiracetam treatment for SE.

Fatality From Status Epilepticus After Myelography.

OBJECTIVE. Myelography is a commonly used procedure to evaluate the spinal canal. However, the procedure is not without risk, chiefly risk of seizure after intrathecal administration of iodinated contrast material. CONCLUSION. The risk of seizure remains an important concern for radiologists, who should strongly consider practice parameter guidelines that address this risk.

In-hospital mortality of status epilepticus in China: Results from a nationwide survey.

PURPOSE: We attempted to determine the nationwide in-hospital mortality rate in people with status epilepticus (SE) in China. METHODS: Using the database of the Chinese Hospital Quality Monitoring System (HQMS), we identified people hospitalised from 2013 to 2017 with an ICD-10 code G41 for SE as the primary diagnosis. HQMS was developed by the National Health Commission of the People's Republic of China. Demographics, outcomes at discharge, and financial information were extracted automatically from the medical records. RESULTS: We identified 29,031 cases with SE as the primary diagnosis from 585 tertiary centres during the five-year period. Among those included, there was a preponderance of men (61 %), and the mean age was 40.4 ± 25.2 years (range: 0-98). The in-hospital mortality rate was 1.46 % over the whole time period, while the overall mortality ranged from 1.80 % in 2013 to 1.20 % in 2017. The mean cost of treatment was 14517.81 RMB ($ 2147.92) per individual, and the mean duration of hospital stay was 9.25 days. CONCLUSION: We provide an overview of mortality related to SE in China as the HQMS database covers a large number of cases of SE in China, making it one of the most efficient tools for mortality investigation. The use of electronic medical records in China creates several challenges and here we discuss lessons learned. The methodology will be improved and will be used in future studies.

Towards Successes in the Management of Nonconvulsive Status Epilepticus: Tracing the Detection-to-Needle Trajectories.

PURPOSE: Data on the timeliness of emergent medication delivery for nonconvulsive status epilepticus (NCSE) are currently lacking. METHODS: Retrospective chart reviews (between 2015 and 2018) and analyses of all patients with NCSE were performed at the University of Nebraska Medical Center, a level 4 epilepsy center, to determine the latencies to order and administration of the first, second, and third antiepileptic drugs (AEDs). Recurrent NCSE cases were considered independently and classified as comatose and noncomatose. RESULTS: There were 77 occurrences of NCSE in 53 patients. The first, second, and third AEDs were delivered with substantial delays at median times of 80 (25%-75% interquartile range, 44-166), 126 (interquartile range, 67-239), and 158 minutes (interquartile range, 89-295), respectively, from seizure detection. The median times to the order of the first and second AEDs were 33 and 134.5 minutes longer in comatose NCSE patients compared with those with noncomatose forms, respectively (P = 0.001 and 0.004, respectively). The median times between the AED orders and their administration in these two groups were the same (P = 0.60 and 0.37, respectively). With bivariate analysis, the median latencies to administration of the first, second, and third AEDs were significantly increased by 33, 109.5, and 173 minutes, respectively, in patients who died within 30 days compared with those who survived (P = 0.047, P = 0.02, P = 0.0007, respectively). CONCLUSIONS: The administration of the first, second, and third AEDs for NCSE was delayed. Slow initiation of acute treatment in comatose patients was caused by delays in the placement of the medication order.

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.

Admission patterns and survival from status epilepticus in critical care in the UK: an analysis of the Intensive Care National Audit and Research Centre Case Mix Programme database.

BACKGROUND AND PURPOSE: Factors influencing the outcome after the critical care unit (CCU) for patients with status epilepticus (SE) are poorly understood. Survival for these patients was examined to establish (i) whether the risk of mortality has changed over time and (ii) whether admission to different unit types affects mortality risk over and above other risk factors. METHODS: The Intensive Care National Audit and Research Centre database and the Case Mix Programme database (January 2001 to December 2016) were analysed. Units were defined as neuro-CCU (NCCU), general CCU with 24-h neurological support (GCCU-N) or general CCU with limited neurological support (GCCU-L). RESULTS: There were 35 595 CCU cases of SE with a 3-fold increase over time (4739 in 2001-2004 to 14 166 in 2013-2016). More recent admissions were older and were more often unsedated on admission. Mortality declined for all units although this was more marked for NCCUs (8.1% in 2001-2004 to 4.4% in 2013-2016 compared to 5.1% and 4.1% for GCCU-L). Acute hospital mortality was two to three times higher than CCU mortality although this has also declined with time. GCCU-L appeared to have lower mortality than NCCUs (odds ratio 0.84, 95% confidence interval 0.72, 0.98) but after post hoc adjustment for case mix there were no differences. Older age and markers of seriousness of morbidity were all associated with increased mortality risk. CONCLUSIONS: The number of patients admitted to a CCU for SE is rising but critical care and acute hospital mortality is decreasing. Patients treated in an NCCU have higher mortality but this is explicable by more severe underlying disease.