Status epilepticus in Auckland, New Zealand: Incidence, etiology, and outcomes.

OBJECTIVE: To determine the incidence, etiology, and outcome of status epilepticus (SE) in Auckland, New Zealand, using the latest International League Against Epilepsy (ILAE) SE semiological classification. METHODS: We prospectively identified patients presenting to the public or major private hospitals in Auckland (population = 1.61 million) between April 6, 2015 and April 5, 2016 with a seizure lasting 10 minutes or longer, with retrospective review to confirm completeness of data capture. Information was recorded in the EpiNet database. RESULTS: A total of 477 episodes of SE occurred in 367 patients. Fifty-one percent of patients were aged <15 years. SE with prominent motor symptoms comprised 81% of episodes (387/477). Eighty-four episodes (18%) were nonconvulsive SE. Four hundred fifty episodes occurred in 345 patients who were resident in Auckland. The age-adjusted incidence of 10-minute SE episodes and patients was 29.25 (95% confidence interval [CI] = 27.34-31.27) and 22.22 (95% CI = 20.57-23.99)/100 000/year, respectively. SE lasted 30 minutes or longer in 250 (56%) episodes; age-adjusted incidence was 15.95 (95% CI = 14.56-17.45) SE episodes/100 000/year and 12.92 (95% CI = 11.67-14.27) patients/100 000/year. Age-adjusted incidence (10-minute SE) was 25.54 (95% CI = 23.06-28.24) patients/100 000/year for males and 19.07 (95% CI = 16.91-21.46) patients/100 000/year for females. The age-adjusted incidence of 10-minute SE was higher in Maori (29.31 [95% CI = 23.52-37.14]/100 000/year) and Pacific Islanders (26.55 [95% CI = 22.05-31.99]/100 000/year) than in patients of European (19.13 [95% CI = 17.09-21.37]/100 000/year) or Asian/other descent (17.76 [95% CI = 14.73-21.38]/100 000/year). Seventeen of 367 patients in the study died within 30 days of the episode of SE; 30-day mortality was 4.6%. SIGNIFICANCE: In this population-based study, incidence and mortality of SE in Auckland lie in the lower range when compared to North America and Europe. For pragmatic reasons, we only included convulsive SE if episodes lasted 10 minutes or longer, although the 2015 ILAE SE classification was otherwise practical and easy to use.

EpiNet study of incidence of status epilepticus in Auckland, New Zealand: Methods and preliminary results.

The EpiNet project has been commenced to facilitate investigator-led collaborative research in epilepsy. A new Web-based data collection tool has been developed within EpiNet to record comprehensive data regarding status epilepticus and has been used for a study of status epilepticus in Auckland, New Zealand. All patients aged >4 weeks who presented to any of the five public hospitals and the major private hospital within Auckland city (population = 1.61 million) with an episode of status epilepticus between April 6, 2015 and April 5, 2016 were identified using multiple overlapping sources of information. For this study, status epilepticus was defined as any seizure exceeding 10 minutes in duration, or repeated seizures lasting >10 minutes without recovery between seizures. Patients who had either convulsive or nonconvulsive status epilepticus were included. Episodes of status epilepticus were classified according to the 2015 International League Against Epilepsy ILAE status epilepticus classification. A total of 477 episodes in 367 patients were considered as definite or probable status epilepticus; 285 episodes (62%) lasted >30 minutes, which is the duration that has previously been used for epidemiological studies of status epilepticus.

Use of the EpiNet database for observational study of status epilepticus in Auckland, New Zealand.

The EpiNet project has been established to facilitate investigator-initiated clinical research in epilepsy, to undertake epidemiological studies, and to simultaneously improve the care of patients who have records created within the EpiNet database. The EpiNet database has recently been adapted to collect detailed information regarding status epilepticus. An incidence study is now underway in Auckland, New Zealand in which the incidence of status epilepticus in the greater Auckland area (population: 1.5 million) will be calculated. The form that has been developed for this study can be used in the future to collect information for randomized controlled trials in status epilepticus. This article is part of a Special Issue entitled "Status Epilepticus".

Reasons for Discharge in a National Network of Early Psychosis Intervention Programs.

BACKGROUND: Discharge from early psychosis intervention is a critical stage of treatment that may occur for a variety of reasons. This study characterizes reasons for discharge among participants in early psychosis intervention programs participating in the Early Psychosis Intervention Network (EPINET) which comprises >100 programs in the United States organized under 8 academic hubs. STUDY DESIGN: We analyzed 1787 discharges, focusing on program completion, unilateral termination by the client/family, and lost contact with the client/family. We performed exploratory analyses of demographic, clinical, and functional predictors of discharge reason. Variables predictive of discharge type were included in multilevel logistic regressions, allowing for the estimation of predictors of discharge reason and variability in rates by program and hub. STUDY RESULTS: An estimated 20%-30% of enrolled patients completed the program. Program completion rates were higher among participants who were older on admission, had lower negative symptoms severity, spent more time in education, employment, or training, and who were covered by private insurance (a close proxy for socioeconomic status). Programs were more likely to lose contact with male participants, Black participants, and participants who were never covered by private insurance. After accounting for patient-level factors, there was substantial program-level variation in all 3 discharge outcomes, and hub-level variability in the proportion of participants who completed the program. The impact of race on program completion varied substantially by program. CONCLUSIONS: Participants were discharged from early psychosis intervention services for diverse reasons, some of which were associated with sociocultural factors. Disengagement is a widespread problem affecting all hubs.

Two-year mortality and seizure recurrence following status epilepticus in Auckland, New Zealand: A prospective cohort study.

PURPOSE: To document the 2-year mortality and seizure recurrence rate of a prospective cohort of patients identified with status epilepticus (SE). METHODS: Patients presenting to any hospital in the Auckland region between April 6 2015, and April 5 2016, with a seizure lasting 10 min or longer were identified. Follow up was at 2 years post index SE episode via telephone calls and detailed review of clinical notes. RESULTS: We identified 367 patients with SE over the course of one year. 335/367 (91.3 %) were successfully followed up at the 2-year mark. Two-year all-cause mortality was 50/335 (14.9 %), and 49/267 (18.4 %) when febrile SE was excluded. Two-year seizure recurrence was 197/335 (58.8 %). On univariate analyses, children (preschoolers 2 to < 5 years and children 5 to < 15 years), Asian ethnicity, SE duration <30 mins and acute (febrile) aetiology were associated with lower mortality, while older age >60 and progressive causes were associated with higher mortality on both univariate and multivariate analyses. Age < 2 years and acute aetiology were associated with lower seizure recurrence, while non convulsive status epilepticus (NCSE) with coma and a history of epilepsy were associated with higher seizure recurrence. On multivariate analyses, a history of epilepsy, as well as having both acute and remote causes were associated with higher seizure recurrence. CONCLUSIONS: All-cause mortality in both the paediatric and adult populations at 2 years was lower than most previous reports. Older age, SE duration ≥30 mins and progressive aetiologies were associated with the highest 2-year mortality, while febrile SE had the lowest mortality. A history of epilepsy, NCSE with coma, and having both acute and remote causes were associated with higher seizure recurrence at 2 years. Future studies should focus on functional measures of outcome and long-term quality of life.

A 19-Year Study of Dental Needlestick and Sharps Injuries in Japan.

BACKGROUND: Needlestick and sharps injuries (NSIs) are serious problems for dental health care workers (DHCWs) because they are at risk for occupational blood-borne infections. In this study, risk factors for NSIs in DHCWs at Tohoku University Hospital (TUH) in Japan over 19 years were analysed. METHODS: NSI data of DHCWs at TUH from April 2002 to March 2020 were collected from the Exposure Prevention Information Network (EPINet) and statistically analysed. RESULTS: A total of 195 NSIs occurred during the 19-year study period. Approximately 58.5% of NSIs occurred in DHCWs with less than 5 years of experience. Injection needles were the most frequent cause of NSIs (19.0%) followed by suture needles (13.3%) and ultrasonic scaler chips (12.8%). Needle injuries occurred mainly on the left hand, whereas ultrasonic scaler chip and bur injuries occurred on the right hand and other body parts whilst DHCWs were placing the instruments back on the dental unit hanging holder without removing the sharps. NSIs from other instruments primarily occurred on both hands and foot insteps during cleanup. No case of occupational blood-borne infection caused by NSIs was observed during the study period at TUH. CONCLUSIONS: NSIs occurred in DHCWs with less experience, and there were associations between the instruments, timing of use, and NSI site. EPINet was considered a valuable tool for monitoring NSIs in order to develop future strategies for minimising NSIs.

Data-driven electrophysiological feature based on deep learning to detect epileptic seizures.

Objective. To identify a new electrophysiological feature characterising the epileptic seizures, which is commonly observed in different types of epilepsy.Methods. We recorded the intracranial electroencephalogram (iEEG) of 21 patients (12 women and 9 men) with multiple types of refractory epilepsy. The raw iEEG signals of the early phase of epileptic seizures and interictal states were classified by a convolutional neural network (Epi-Net). For comparison, the same signals were classified by a support vector machine (SVM) using the spectral power and phase-amplitude coupling. The features learned by Epi-Net were derived by a modified integrated gradients method. We considered the product of powers multiplied by the relative contribution of each frequency amplitude as a data-driven epileptogenicity index (d-EI). We compared the d-EI and other conventional features in terms of accuracy to detect the epileptic seizures. Finally, we compared the d-EI among the electrodes to evaluate its relationship with the resected area and the Engel classification.Results. Epi-Net successfully identified the epileptic seizures, with an area under the receiver operating characteristic curve of 0.944 ± 0.067, which was significantly larger than that of the SVM (0.808 ± 0.253,n =21;p =0.025). The learned iEEG signals were characterised by increased powers of 17-92 Hz and >180 Hz in addition to decreased powers of other frequencies. The proposed d-EI detected them with better accuracy than the other iEEG features. Moreover, the surgical resection of areas with a larger increase in d-EI was observed for all nine patients with Engel class ⩽1, but not for the 4 of 12 patients with Engel class >1, demonstrating the significant association with seizure outcomes.Significance.We derived an iEEG feature from the trained Epi-Net, which identified the epileptic seizures with improved accuracy and might contribute to identification of the epileptogenic zone.

Do neurologists around the world agree when diagnosing epilepsy? - Results of an international EpiNet study.

OBJECTIVE: Previous studies have shown moderate agreement between physicians when diagnosing epilepsy, but have included small numbers. The EpiNet study group was established to undertake multicentre clinical trials in epilepsy. Before commencing trials, we wanted to determine levels of agreement between physicians from different countries and different health systems when diagnosing epilepsy, specific seizure types and etiologies. METHODS: 30 Case scenarios describing six children and 24 adults with paroxysmal events (21 epileptic seizures, nine non-epileptic attacks) were presented to physicians with an interest in epilepsy. Physicians were asked how likely was a diagnosis of epilepsy; if seizures were generalised or focal; and the likely etiology. For 23 cases, clinical information was presented in Step 1, and investigations in Step 2. RESULTS: 189 Participants from 36 countries completed the 30 cases. Levels of agreement were determined for 154 participants who provided details regarding their clinical experience. There was substantial agreement for diagnosis of epilepsy (kappa=0.61); agreement was fair to moderate for seizure type(s) (kappa=0.40) and etiology (kappa=0.41). For 23 cases with two steps, agreement increased from step 1 to step 2 for diagnosis of epilepsy (kappa 0.56-0.70), seizure type(s) (kappa 0.38-0.52), and etiology (kappa 0.38-0.47). Agreement was better for 53 epileptologists (diagnosis of epilepsy, kappa=0.66) than 56 neurologists with a special interest in epilepsy (kappa=0.58). Levels of agreement differed slightly between physicians practicing in different parts of the world, between child and adult neurologists, and according to one's experience with epilepsy. CONCLUSION: Although there is substantial agreement when epileptologists diagnose epilepsy, there is less agreement for diagnoses of seizure types and etiology. Further education of physicians regarding semiology of different seizure types is required. Differences in approach to diagnosis, both between physicians and between countries, could impact negatively on clinical trials of anti-epileptic drugs.

Using epigenetic networks for the analysis of movement associated with levodopa therapy for Parkinson's disease.

Levodopa is a drug that is commonly used to treat movement disorders associated with Parkinson's disease. Its dosage requires careful monitoring, since the required amount changes over time, and excess dosage can lead to muscle spasms known as levodopa-induced dyskinesia. In this work, we investigate the potential for using epiNet, a novel artificial gene regulatory network, as a classifier for monitoring accelerometry time series data collected from patients undergoing levodopa therapy. We also consider how dynamical analysis of epiNet classifiers and their transitions between different states can highlight clinically useful information which is not available through more conventional data mining techniques. The results show that epiNet is capable of discriminating between different movement patterns which are indicative of either insufficient or excessive levodopa.

Reducing needlestick injuries through safety-engineered devices: results of a Japanese multi-centre study.

BACKGROUND: Quantitative information on the effectiveness of safety-engineered devices (SEDs) is needed to support decisions regarding their implementation. AIM: To elucidate the effects of SED use in winged steel needles, intravenous (IV) catheter stylets and suture needles on needlestick injury (NSI) incidence rates in Japan. METHODS: Japan EPINet survey data and device utilization data for conventional devices and SEDs were collected from 26 participating hospitals between 1 April 2009 and 31 March 2014. The NSI incidence rate for every 100,000 devices was calculated according to hospital, year and SED use for winged steel needles, IV catheter stylets and suture needles. Weighted means and 95% confidence intervals (CI) were used to calculate overall NSI incidence rates. FINDINGS: In total, there were 236 NSIs for winged steel needles, 152 NSIs for IV catheter stylets and 180 NSIs for suture needles. The weighted NSI incidence rates per 100,000 devices for SEDs and non-SEDs were as follows: winged steel needles, 2.10 (95% CI 1.66-2.54) and 14.95 (95% CI 2.46-27.43), respectively; IV catheter stylets, 0.95 (95% CI 0.60-1.29) and 6.39 (95% CI 3.56-9.23), respectively; and suture needles, 1.47 (95% CI -1.14-4.09) and 16.50 (95% CI 4.15-28.86), respectively. All devices showed a significant reduction in the NSI incidence rate with SED use (P < 0.001 for winged steel needles, P = 0.035 for IV catheter stylets and P = 0.044 for suture needles). CONCLUSION: SED use substantially reduces the incidence of NSIs, and is therefore recommended as a means to prevent occupational infections in healthcare workers and improve healthcare safety.

Risk analysis of needle stick and sharp object injuries among health care workers in a tertiary care hospital (Saudi Arabia).

OBJECTIVE: To study different risk factors associated with needle stick injury among health care workers of a tertiary care hospital in Saudi Arabia. SUBJECTS AND METHODOLOGY: Retrospective study involving all reported cases of needle stick and sharp object injury among health care workers through using Epinet™ access U.K. version 1.3 program in King Saud Medical City (KSMC) during the period (January 2007-December 2011). RESULTS: During the study period, 477 needle stick and sharp object injuries were reported with peak incidence (13.84%) during 2009. Distribution of needle stick and sharp object injuries according to the location of their occurrence clarified that patient room/ward was the most common place of occurrence of NSSIs 150/477, followed by emergency department 82/477, then the intensive and critical care units 70/477. The study presented that nurses were encountered as the most affected job category and use of items is the most common activity associated with the incidents. Most of the incidents were caused by needles with disposable needle and hands were the most affected body parts. CONCLUSION: Needle stick and sharp object injuries represent a major occupational challenge to health care workers. Prevention should be based on different working lines including immunization, education of health care workers and proper engineering control measures.