Latency of poststroke epilepsy can predict drug resistance.

BACKGROUND AND PURPOSE: The progressive nature of epileptogenesis raises the question of whether the latent period may already carry information about the characteristics of the subsequent epilepsy. This study aimed to explore whether the time from stroke to epilepsy onset was related to the risk of drug resistance in patients with poststroke epilepsy (PSE). METHODS: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. Study outcome was the occurrence of drug resistance defined as failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules to achieve sustained seizure freedom. RESULTS: One hundred fifty-nine patients with PSE and a median follow-up of 5 (interquartile range [IQR] = 3-9) years were included. In the study cohort, 29 (18.2%) participants were drug resistant. The median length of the time interval between stroke and PSE onset was 13 (IQR = 7-15) months in drug-resistant patients and 19 (IQR = 14-42) months (p < 0.001) in patients with seizure control. According to multivariable regression analysis, the time from stroke to PSE was an independent predictor of drug resistance (p < 0.001). The risk of drug resistance was highest when the onset of PSE occurred within the first months from stroke and decreased progressively with a steeper decline over the first 12 months. CONCLUSIONS: Substantial variability may exist in the pathways leading to PSE and distinguish patients with a variable risk of drug resistance.

What Can 5G Do for Public Safety? Structural Health Monitoring and Earthquake Early Warning Scenarios.

The 5th generation of mobile networks has come to the market bringing the promise of disruptive performances as low latency, availability and reliability, imposing the development of the so-called "killer applications". This contribution presents a 5G use case in the context of Structural Health Monitoring which guarantees an unprecedented level of reliability when exploited for public safety purposes as Earthquake Early Warning. The interest on this topic is at first justified through a deep market analysis, and subsequently declined in terms of public safety benefits. A specific sensor board, guaranteeing real-time processing and 5G connectivity, is presented as the foundation on which the architecture of the network is designed and developed. Advantages of 5G-enabled urban safety are then discussed and proven in the experimentation results, showing that the proposed architecture guarantees lower latency delays and overcome the impairments of cloud solutions especially in terms of delays variability.

Clinical phenotypes of embolic strokes of undetermined source.

BACKGROUND AND PURPOSE: The embolic stroke of undetermined source (ESUS) represents a heterogeneous clinical entity. The aim of this study was to investigate whether distinct clinical phenotypes may be identified in the ESUS population. METHODS: We retrospectively identified consecutive patients hospitalized for acute ischemic stroke who met the ESUS diagnostic criteria. Baseline characteristics and diagnostic workup findings were collected. Hierarchical cluster analysis was carried out to classify clinical features and identify different groups of ESUS patients. RESULTS: One hundred twenty-seven patients with a mean age of 68.6 (12.5) years were included. Three main clusters were identified. The first cluster associated young age, male sex, presence of patent foramen ovale, and posterior circulation infarct. The second phenotype linked hypertension, severe stroke, left atrial cardiopathy, diabetes mellitus, and involvement of multiple vascular territories. The third cluster gathered smoking, dyslipidemia, ipsilateral vulnerable sub-stenotic carotid plaque, and infarct of anterior vascular territory. CONCLUSIONS: Distinct clinical phenotypes have been identified within the ESUS population, which may supply clues to the underlying pathogenic mechanisms.

Prediction of Outcome in Embolic Strokes of Undetermined Source.

BACKGROUND AND AIM: Predicting outcome after stroke is a major goal and research field. The Embolic Stroke of Undetermined Source (ESUS) is a recently introduced clinical construct, and the prediction of outcome in this population has to be further explored. The aim of the study was to evaluate the prognostic validity and accuracy of the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) score in patients with ESUS. METHODS: Consecutive patients hospitalized for acute ischemic stroke who met the ESUS diagnostic criteria were identified and the ASTRAL scores estimated. The study endpoint was the 3-month unfavorable outcome (modified Rankin Scale>2). Predictive performance was investigated through logistic regression analysis and discrimination and calibration tests. RESULTS: Among 202 patients with ESUS, 67 (33.2%) had unfavourable 3-month outcome. The ASTRAL score was an independent predictor of poor outcome [adjOR = 1.44, 95% confidence interval (CI) 1.30-1.60, P < .001], showed good discriminatory power (area under the receiver operating characteristic curve .913, 95% CI .871-.956) and was well calibrated (Hosmer-Lemeshow test P = .496). CONCLUSIONS: The ASTRAL score was an independent predictor of 3-month functional outcome and showed high predictive accuracy in patients with ESUS.

Individualized Prediction of Drug Resistance in People with Post-Stroke Epilepsy: A Retrospective Study.

BACKGROUND: The study aimed to develop a model and build a nomogram to predict the probability of drug resistance in people with post-stroke epilepsy (PSE). METHODS: Subjects with epilepsy secondary to ischemic stroke or spontaneous intracerebral hemorrhage were included. The study outcome was the occurrence of drug-resistant epilepsy defined according to International League Against Epilepsy criteria. RESULTS: One hundred and sixty-four subjects with PSE were included and 32 (19.5%) were found to be drug-resistant. Five variables were identified as independent predictors of drug resistance and were included in the nomogram: age at stroke onset (odds ratio (OR): 0.941, 95% confidence interval (CI) 0.907-0.977), intracerebral hemorrhage (OR: 6.292, 95% CI 1.957-20.233), severe stroke (OR: 4.727, 95% CI 1.573-14.203), latency of PSE (>12 months, reference; 7-12 months, OR: 4.509, 95% CI 1.335-15.228; 0-6 months, OR: 99.099, 95% CI 14.873-660.272), and status epilepticus at epilepsy onset (OR: 14.127, 95% CI 2.540-78.564). The area under the receiver operating characteristic curve of the nomogram was 0.893 (95% CI: 0.832-0.956). CONCLUSIONS: Great variability exists in the risk of drug resistance in people with PSE. A nomogram based on a set of readily available clinical variables may represent a practical tool for an individualized prediction of drug-resistant PSE.

Ischemic stroke as a presenting manifestation of polycythemia vera: a narrative review.

Polycythemia vera (PV) is a myeloproliferative disorder associated with an increased risk of cerebrovascular diseases. In this narrative review, we aimed to analyze the relationships between acute ischemic stroke and PV. We conducted a PubMed/Medline and Web of Sciences Database search using MeSH major terms. We found 75 articles and finally considered 12 case reports and 11 cohort studies. The ischemic stroke resulted as the first manifestation of PV in up to 16.2% of cases; the cumulative rate of cerebrovascular events was up to 5.5 per 100 persons per year and stroke accounted for 8.8% of all PV-related deaths; age, mutations, and a previous history of thrombosis were the main risk factors. The best approach to reduce stroke recurrence risk is unclear, even if some evidence suggests a potential role of lowering hematocrit below 45%. Ischemic stroke represents one of the most common PV manifestations but, despite their relationship, patients with both diseases have a very heterogeneous clinical course and management. PV-related strokes often remain underdiagnosed, especially for the low prevalence of PV. An early diagnosis could lead to prompt treatment with phlebotomy, cytoreduction, and low-dose aspirin to decrease the risk of recurrences. Clinicians should be aware of PV as a risk factor for stroke when approaching the differential diagnosis of cryptogenic strokes. An early diagnosis could positively influence patients' management and clinical outcomes. Further studies are required to evaluate the role of PV treatments in the prevention of cerebrovascular disease.

Predictors of Pharmaco-Resistance in Patients with Post-Stroke Epilepsy.

OBJECTIVES: The study aimed to explore the clinical predictors of pharmaco-resistance in patients with post-stroke epilepsy (PSE). METHODS: Patients with epilepsy secondary to cerebral infarct or spontaneous intracerebral hemorrhage were included. The study outcome was the occurrence of pharmaco-resistance defined as the failure of adequate trials of two tolerated and appropriately chosen and used antiseizure medication schedules, whether as monotherapies or in combination, to achieve sustained seizure freedom. RESULTS: One-hundred and fifty-nine patients with PSE and a median follow-up of 5 (3-9) years were included. The mean age of the patients at stroke onset was 56.7 (14.9) years, and 104 (65.4%) were males. In the study cohort, 29 participants were pharmaco-resistant. Age at stroke onset [odds ratio (OR) 0.97, 95% confidence interval (CI) 0.93-0.99; p = 0.044], history of intracerebral hemorrhage (OR 2.95, 95% CI 1.06-8.24; p = 0.039), severe stroke (OR 5.43, 95% CI 1.82-16.16; p = 0.002), status epilepticus as initial presentation of PSE (OR 7.90, 1.66-37.55; p = 0.009), and focal to bilateral tonic-clonic seizures (OR 3.19, 95% CI 1.16-8.79; p = 0.025) were independent predictors of treatment refractoriness. CONCLUSIONS: Pharmaco-resistance developed in approximately 20% of patients with PSE and was associated with younger age at stroke onset, stroke type and severity, status epilepticus occurrence, and seizure types.

Neutrophil-to-lymphocyte ratio improves outcome prediction of acute intracerebral hemorrhage.

BACKGROUND: The inflammatory response plays a role in determining the course of intra-cerebral hemorrhage (ICH) and immune parameters may have prognostic value. The aim of the study was to determine whether the peripheral leukocyte counts and neutrophil-to-lymphocyte ratio (NLR) were associated to 30-day functional status after ICH, and improved the accuracy of outcome prediction when added to the Modified ICH score. METHODS: We retrospectively identified consecutive patients with spontaneous ICH who underwent blood sampling and cranial CT neuroimaging within 24 h from onset. Total white blood cells (WBC), absolute neutrophil count (ANC) and absolute lymphocyte count (ALC) were collected, and the NLR computed as the ANC to ALC ratio. The study endpoint was 30-day functional status; poor outcome was defined as death or major disability (modified Rankin Scale score ≥ 3). RESULTS: Two hundred and eight patients were enrolled, of which 111 (53.4%) had a modified Rankin Scale score ≥ 3 at 30 days from ICH. At multivariate analysis, the WBC (adjusted odd ratio [adjOR] for 1000 leukocytes increase 1.20, 95% confidence interval [CI] 1.05-1.38), ANC (adjOR for 1000 neutrophils increase 1.34, 95% CI 1.14-1.57), ALC (adjOR for 1000 lymphocytes increase 0.34, 95% CI 0.20-0.59) and NLR (adjOR for 1-point increase 1.49, 95% CI 1.24-1.79) were independently associated with 30-day poor outcome. Predictive accuracy of the Modified ICH score was enhanced by adding the NLR. CONCLUSIONS: The NLR was associated with 30-day mortality and morbidity after ICH, and improved the accuracy of outcome prediction when added to the Modified ICH score.

Sleep-related hypermotor epilepsy: Long-term outcome in a large cohort.

OBJECTIVE: To assess the long-term outcome of sleep-related hypermotor epilepsy (SHE). METHODS: We retrospectively reconstructed a representative cohort of patients diagnosed with SHE according to international diagnostic criteria, sleep-related seizures ≥75% and follow-up ≥5 years. Terminal remission (TR) was defined as a period of ≥5 consecutive years of seizure freedom at the last follow-up. We used Kaplan-Meier estimates to calculate the cumulative time-dependent probability of TR and to generate survival curves. Univariate and multivariate Cox regression analyses were performed. RESULTS: We included 139 patients with a 16-year median follow-up (2,414 person-years). The mean age at onset was 13 ± 10 years. SHE was sporadic in 86% of cases and familial in 14%; 16% of patients had underlying brain abnormalities. Forty-five percent of patients had at least 1 seizure in wakefulness lifetime and 55% had seizures only in sleep (typical SHE). At the last assessment, 31 patients achieved TR (TR group, 22.3%), while 108 (NTR group, 77.7%) still had seizures or had been in remission for <5 years. The cumulative TR rate was 20.4%, 23.5%, and 28.4% by 10, 20, and 30 years from inclusion. At univariate analysis, any underlying brain disorder (any combination of intellectual disability, perinatal insult, pathologic neurologic examination, and brain structural abnormalities) and seizures in wakefulness were more frequent among the NTR group (p = 0.028; p = 0.043). Absence of any underlying brain disorder (hazard ratio 4.21, 95% confidence interval 1.26-14.05, p = 0.020) and typical SHE (hazard ratio 2.76, 95% confidence interval 1.31-5.85, p = 0.008) were associated with TR. CONCLUSIONS: Our data show a poor prognosis of SHE after a long-term follow-up. Its outcome is primarily a function of the underlying etiology.

Incidence of sudden unexpected death in nocturnal frontal lobe epilepsy: a cohort study.

OBJECTIVE: Most cases of sudden unexpected death in epilepsy (SUDEP) follow a seizure, and most deaths occur while people are in bed, presumably sleeping. Nocturnal seizures are reported to be a risk factor for SUDEP. People with nocturnal frontal lobe epilepsy (NFLE) have seizures predominantly or exclusively during sleep, often many times per night. The present study aimed to assess whether NFLE represents a high-risk condition for SUDEP. METHODS: The present study retrospectively assessed the incidence of SUDEP in a cohort reconstructed from a dedicated database of consecutive patients referred to the Epilepsy and Sleep Centres of the Institute of Neurological Sciences of Bologna from 1980 to 2012 with: (1) a diagnosis of NFLE, (2) at least 90% of seizures during sleep, and (3) at least one-year of follow-up. RESULTS: One hundred and three people were included. The median time from seizure onset to last observation was 26 years, equal to a follow-up of 2789 person-years. One person died of SUDEP during the follow-up period. The incidence rate of SUDEP was 0.36 per 1000 person-years (95% CI 0.01 to 2.0). CONCLUSIONS: The incidence of SUDEP in the participant population was not higher than the rates previously reported in prevalent epilepsy populations (0.4 to 2.3 per 1000 person-years). The low prevalence of SUDEP might reflect the low occurrence of generalised tonic-clonic seizures in people with NFLE.

Preschool Matters: Predicting Reading Difficulties for Spanish-Speaking Bilingual Students in First Grade.

This article reports on a longitudinal analysis of factors that predict the word reading skills in English and Spanish for a sample of 234 Spanish-speaking students in first grade. The children were assessed at the end of preschool, kindergarten, and first grade. Data include three subtests of the Woodcock Language Proficiency Battery and a researcher-developed phonological awareness task. Results showed that, on average, children's English word reading skills were similar to those of monolingual norms, while their Spanish word readings skills were, on average, one standard deviation below the mean. English vocabulary, English recalling skills, Spanish vocabulary, and Spanish word reading skills in preschool were found to be significant predictors of English word reading skills in first grade. Educational implications for assessment and instruction for this population during the early childhood years are discussed.

Predicting English Word Reading Skills for Spanish-Speaking Students in First Grade.

This article describes the word reading skills in English and Spanish for a sample of 244 Spanish-speaking, English-learning (hence, bilingual) students in first grade and presents a predictive model for English word reading skills. The children in the study were assessed at the end of kindergarten and first grade, respectively. Data were gathered with 3 subtests of the Woodcock Language Proficiency Battery and a researcher-developed phonological awareness task. Results showed that, on average, children's English word reading skills were similar to monolingual norms whereas their Spanish word reading skills averaged 1 SD below the mean. English vocabulary, English phonological awareness, and Spanish word reading skills in kindergarten were found to be significant predictors of English word reading skills in first grade. Educational implications for screening language and reading skills and promising areas for targeted instruction for this population are discussed.