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Background: The Florida Stroke Act, signed into law in 2004, set criteria for Comprehensive Stroke Centers (CSC). For a set time period, Florida hospitals were permitted to either receive national certification (NC) or could self-attest (SA) as fulfilling CSC criteria. The aim of this project was to evaluate the quality of ischemic stroke care in NC versus SA stroke centers in Florida, using well-known, guideline-driven ischemic stroke outcome metrics. Methods: A total of 37 CSCs (74% of Florida CSCs) in the Florida Stroke Registry from January 2013 through December 2018 were analyzed, including 19 SA CSCs and 18 NC (13 CSCs and 5 Thrombectomy-Capable Stroke Center). Hospital- and patient-level characteristics and stroke metrics were evaluated, adjusting for demographics, medical comorbidities, and stroke severity. Results: A total of 78 424 acute ischemic stroke cases, 36 089 from SA CSCs and 42 335 from NC CSC/Thrombectomy-Capable Stroke Centers were analyzed. NC centers had older patients (73 [61–83] versus 71 [60–81]; P P P P P P P P =0.001) and more likely to be treated with intravenous tissue-type plasminogen activator within 45 minutes (adjusted odds ratio, 1.61 [95% CI, 1.04–2.50]; P =0.04) compared with SA CSCs. Conclusions: Among Florida-Stroke Registry CSCs, acute ischemic stroke performance and treatment measures at NC centers are superior to SA CSCs. These findings have implications for stroke systems of care in Florida and support legislation updates requiring NC and removal of SA claims.

Over the past decades, electroencephalography (EEG) has become a widely applied and highly sophisticated brain monitoring tool in a variety of intensive care unit (ICU) settings. The most common indication for EEG monitoring currently is the management of refractory status epilepticus. In addition, a number of studies have associated frequent seizures, including nonconvulsive status epilepticus (NCSE), with worsening secondary brain injury and with worse outcomes. With the widespread utilization of EEG (spot and continuous EEG), rhythmic and periodic patterns that do not fulfill strict seizure criteria have been identified, epidemiologically quantified, and linked to pathophysiological events across a wide spectrum of critical and acute illnesses, including acute brain injury. Increasingly, EEG is not just qualitatively described, but also quantitatively analyzed together with other modalities to generate innovative measurements with possible clinical relevance. In this review, we discuss the current knowledge and emerging applications of EEG in the ICU, including seizure detection, ischemia monitoring, detection of cortical spreading depolarizations, assessment of consciousness and prognostication. We also review some technical aspects and challenges of using EEG in the ICU including the logistics of setting up ICU EEG monitoring in resource-limited settings.

BackgroundGuideline based hypertension management is integral to the prevention of stroke. We examine trends in antihypertensive medications prescribed after stroke and assess how well a prescribers’ blood pressure medication choice adheres to clinical practice guidelines (Prescribers’-Choice Adherence).MethodsThe Florida Stroke registry (FSR) utilizes statewide data prospectively collected for all acute stroke admissions. Based on established guidelines we defined optimal Prescribers’-Choice Adherence using the following hierarchy of rules: 1) use of an angiotensin inhibitor (ACEI) or angiotensin receptor blocker (ARB) as first-line antihypertensive among diabetics; 2) use of thiazide-type diuretics or calcium channel blockers (CCB) among African-American patients; 3) use of beta-adrenergic blockers (BB) among patients with compelling cardiac indication (CCI) 4) use of thiazide, ACEI/ARB or CCB class as first-line in all others; 5) BB should be avoided as first line unless CCI.RESULTSA total of 372,254 cases from January 2010 to March 2020 are in FSR with a diagnosis of acute ischemic, hemorrhagic stroke, transient ischemic attack or subarachnoid hemorrhage; 265,409 with complete data were included in the final analysis. Mean age 70 +/-14 years, 50% female, index stroke subtype of 74% acute ischemic stroke and 11% intracerebral hemorrhage. Prescribers’-Choice Adherence to each specific rule ranged from 48-74% which is below quality standards of 85%. There were race-ethnic disparities with only 49% Prescribers choice Adherence for African Americans patients.ConclusionThis large dataset demonstrates consistently low rates of Prescribers’-Choice Adherence over 10 years. There is an opportunity for quality improvement in hypertensive management after stroke.

Introduction: Patients older than 80 years of age are under-represented in randomized trials of endovascular thrombectomy (EVT). In the large Florida Stroke Registry, we aimed to evaluate the impact of age on EVT outcomes in routine clinical practice. Methods: Prospectively collected data from Get with the Guidelines- Stroke hospitals participating in the Florida Stroke Registry from January 2010 to April 2020 were reviewed. The impact of age on discharge outcomes was studied using multivariate analysis with generalized estimating equations adjusting for sex, race, NIHSS, time from onset to treatment, intravenous thrombolysis, and hospital-based characteristics (size, EVT volume, and stroke center certification), and region. Results: Among 8,344 EVT patients (mean age 71±15, 49% male), 32.9% were ≥ 80 years of age. Patients ≥ 80 years were more likely hypertensive (76% vs 63%), with atrial fibrillation (56% vs 26%), presented earlier to the hospital (onset to arrival 108 vs 126 min), with more severe strokes (NIHSS 17 (IQR=11) vs 15 (IQR=11)) and less likely to ambulate independently at baseline. Short term discharge outcomes and treatment complications, stratified by age ≥ 80 or < 80 are shown in the Table. In multivariable analysis, elderly patients were less likely to achieve independent ambulation (OR: 0.37, CI 0.32, 0.43) and be discharged home/rehabilitation (OR 0.36, CI 0.33, 0.40). In the continuously adjusted model, for every year increase in age, the odds of independent ambulation decreased by 3% per year (p Discussion: In routine practice, one third of endovascularly treated LVO patients are over 80. Our data shows that EVT is safe in this population; however, age remains an independent predictor of poor discharge outcomes, especially in those over the age of 80.

Introduction: The decision to withhold or withdraw life-sustaining therapy (WLST) is common after acute stroke. Factors that may influence the decision are not well determined. We aimed to investigate factors associated with WLST in hospitalized acute stroke patients. Methods: Patients with acute ischemic stroke (AIS), intracerebral hemorrhage (ICH), and subarachnoid hemorrhage (SAH) were included across 152 Florida hospitals participating in the prospective Florida Stroke Registry from 2008-2021. Importance plots were performed to generate the predictive factors associated with WLST. AUC-ROC curves were generated for the performance of logistic regression (LR) and random forest (RF) models. We used 75/15/15 for training/testing/validation. Results: Among 309,393 AIS patients, 47,485 ICH patients, and 16,694 SAH patients; 9%, 28%, and 19% subsequently had WLST during hospitalization. Patients who had WLST were older (77 vs. 69 years), more women (57% vs. 49%), more White (76% vs. 67%), greater stroke severity at presentation NIHSS ≥ 5 (29% vs.19%), more likely to be treated in comprehensive stroke centers (52% vs. 44%), more likely to have Medicare insurance (53% vs. 44%), less likely to be uninsured (8% vs. 13%), more likely to undergo surgical treatments (1.2% vs 0.3%), and more likely to have impaired level of consciousness (38% vs. 12%). The most predictive factors associated with the decision to WLST in AIS were age, stroke severity, state region, insurance status, stroke center type, race, and level of consciousness (RF AUC of .93 and LR AUC of .85). The most predictive factors in ICH were age, impaired level of consciousness, state region, race, insurance status, stroke center type, and ambulation status at baseline (RF AUC of .76 and LR AUC of .71). Most predictive factors in SAH were age, impaired level of consciousness, state region, insurance status, race, and stroke center type (RF AUC of .82 and LR AUC of .72). Conclusion: Among acute hospitalized stroke patients; age, level of consciousness, state region, race, insurance status, ambulation status at baseline, and stroke center type could contribute to the decision to WLST.

Background and ObjectivesEarly consciousness disorder (ECD) after acute ischemic stroke (AIS) is understudied. ECD may influence outcomes and the decision to withhold or withdraw life-sustaining treatment.MethodsWe studied patients with AIS from 2010 to 2019 across 122 hospitals participating in the Florida Stroke Registry. We studied the effect of ECD on in-hospital mortality, withholding or withdrawal of life-sustaining treatment (WLST), ambulation status on discharge, hospital length of stay, and discharge disposition.ResultsOf 238,989 patients with AIS, 32,861 (14%) had ECD at stroke presentation. Overall, average age was 72 years (Q1 61, Q3 82), 49% were women, 63% were White, 18% were Black, and 14% were Hispanic. Compared to patients without ECD, patients with ECD were older (77 vs 72 years), were more often female (54% vs 48%), had more comorbidities, had greater stroke severity as assessed by the National Institutes of Health Stroke Scale (score ≥5 49% vs 27%), had higher WLST rates (21% vs 6%), and had greater in-hospital mortality (9% vs 3%). Using adjusted models accounting for basic characteristics, patients with ECD had greater in-hospital mortality (odds ratio [OR] 2.23, 95% CI 1.98–2.51), had longer hospitalization (OR 1.37, 95% CI 1.33–1.44), were less likely to be discharged home or to rehabilitation (OR 0.54, 95% CI 0.52–0.57), and were less likely to ambulate independently (OR 0.61, 95% CI 0.57–0.64). WLST significantly mediated the effect of ECD on mortality (mediation effect 265; 95% CI 217–314). In temporal trend analysis, we found a significant decrease in early WLST (2 0.7, p = 0.002) and an increase in late WLST (≥2 days) (R2 0.7, p = 0.004).DiscussionIn this large prospective multicenter stroke registry, patients with AIS presenting with ECD had greater mortality and worse discharge outcomes. Mortality was largely influenced by the WLST decision.

To describe predictive data and workflow in the intensive care unit when managing neurologically ill patients.In the era of Big Data in medicine, intensive critical care units are data-rich environments. Neurocritical care adds another layer of data with advanced multimodal monitoring to prevent secondary brain injury from ischemia, tissue hypoxia, and a cascade of ongoing metabolic events. A step closer toward personalized medicine is the application of multimodal monitoring of cerebral hemodynamics, bran oxygenation, brain metabolism, and electrophysiologic indices, all of which have complex and dynamic interactions. These data are acquired and visualized using different tools and monitors facing multiple challenges toward the goal of the optimal decision support system. In this review, we highlight some of the predictive data used to diagnose, treat, and prognosticate the neurologically ill patients. We describe information management in neurocritical care units including data acquisition, wrangling, analysis, and visualization.

Background and Purpose: Impaired level of consciousness (LOC) on presentation at hospital admission in patients with intracerebral hemorrhage (ICH) may affect outcomes and the decision to withhold or withdraw life-sustaining treatment (WOLST). Methods: Patients with ICH were included across 121 Florida hospitals participating in the Florida Stroke Registry from 2010 to 2019. We studied the effect of LOC on presentation on in-hospital mortality (primary outcome), WOLST, ambulation status on discharge, hospital length of stay, and discharge disposition. Results: Among 37 613 cases with ICH (mean age 71, 46% women, 61% White, 20% Black, 15% Hispanic), 12 272 (33%) had impaired LOC at onset. Compared with cases with preserved LOC, patients with impaired LOC were older (72 versus 70 years), more women (49% versus 45%), more likely to have aphasia (38% versus 16%), had greater ICH score (3 versus 1), greater risk of WOLST (41% versus 18%), and had an increased in-hospital mortality (32% versus 12%). In the multivariable-logistic regression with generalized estimating equations accounting for basic demographics, comorbidities, ICH severity, hospital size and teaching status, impaired LOC was associated with greater mortality (odds ratio, 3.7 [95% CI, 3.1–4.3], P P P Conclusions: In this large multicenter stroke registry, a third of ICH cases presented with impaired LOC. Impaired LOC was associated with greater in-hospital mortality and worse disposition at discharge, largely influenced by early decision to withhold or WOLST.

Objective To determine the ability of quantitative electroencephalography (QEEG) to improve the accuracy of predicting recovery of consciousness by post-cardiac arrest day 10. Methods Unconscious survivors of cardiac arrest undergoing daily clinical and EEG assessments through post-cardiac arrest day 10 were studied in a prospective observational cohort study. Power spectral density, local coherence, and permutation entropy were calculated from daily EEG clips following a painful stimulus. Recovery of consciousness was defined as following at least simple commands by day 10. We determined the impact of EEG metrics to predict recovery when analyzed with established predictors of recovery using partial least squares regression models. Explained variance analysis identified which features contributed most to the predictive model. Results 367 EEG epochs from 98 subjects were analyzed in conjunction with clinical measures. Highest prediction accuracy was achieved when adding QEEG features from post-arrest days 4–6 to established predictors (area under the receiver operating curve improved from 0.81 ± 0.04 to 0.86 ± 0.05). Prediction accuracy decreased from 0.84 ± 0.04 to 0.79 ± 0.04 when adding QEEG features from post-arrest days 1–3. Patients with recovery of command-following by day 10 showed higher coherence across the frequency spectrum and higher centro-occipital delta-frequency spectral power by days 4–6, and globally-higher theta range permutation entropy by days 7–10. Conclusions Adding quantitative EEG metrics to established predictors of recovery allows modest improvement of prediction accuracy for recovery of consciousness, when obtained within a week of cardiac arrest. Further research is needed to determine the best strategy for integration of QEEG data into prognostic models in this patient population.

BACKGROUND: Electroencephalography (EEG) findings following cardiovascular collapse in death are uncertain. We aimed to characterize EEG changes immediately preceding and following cardiac death. METHODS: We retrospectively analyzed EEGs of patients who died from cardiac arrest while undergoing standard EEG monitoring in an intensive care unit. Patients with brain death preceding cardiac death were excluded. Three events during fatal cardiovascular failure were investigated: (1) last recorded QRS complex on electrocardiogram (QRS(0)), (2) cessation of cerebral blood flow (CBF(0)) estimated as the time that blood pressure and heart rate dropped below set thresholds, and (3) electrocerebral silence on EEG (EEG(0)). We evaluated EEG spectral power, coherence, and permutation entropy at these time points. RESULTS: Among 19 patients who died while undergoing EEG monitoring, seven (37%) had a comfort-measures-only status and 18 (95%) had a do-not-resuscitate status in place at the time of death. EEG(0) occurred at the time of QRS(0) in five patients and after QRS(0) in two patients (cohort median − 2.0, interquartile range − 8.0 to 0.0), whereas EEG(0) was seen at the time of CBF(0) in six patients and following CBF(0) in 11 patients (cohort median 2.0 min, interquartile range − 1.5 to 6.0). After CBF(0), full-spectrum log power (p < 0.001) and coherence (p < 0.001) decreased on EEG, whereas delta (p = 0.007) and theta (p = 0.007) permutation entropy increased. CONCLUSIONS: Rarely may patients have transient electrocerebral activity following the last recorded QRS (less than 5 min) and estimated cessation of cerebral blood flow. These results may have implications for discussions around cardiopulmonary resuscitation and organ donation.

BackgroundPost-traumatic epilepsy (PTE) is a severe complication of traumatic brain injury (TBI). Electroencephalography aids early post-traumatic seizure diagnosis, but its optimal utility for PTE prediction remains unknown. We aim to evaluate the contribution of quantitative electroencephalograms to predict first-year PTE (PTE1).MethodsWe performed a multicentre, retrospective case–control study of patients with TBI. 63 PTE1patients were matched with 63 non-PTE1patients by admission Glasgow Coma Scale score, age and sex. We evaluated the association of quantitative electroencephalography features with PTE1using logistic regressions and examined their predictive value relative to TBI mechanism and CT abnormalities.ResultsIn the matched cohort (n=126), greater epileptiform burden, suppression burden and beta variability were associated with 4.6 times higher PTE1risk based on multivariable logistic regression analysis (area under the receiver operating characteristic curve, AUC (95% CI) 0.69 (0.60 to 0.78)). Among 116 (92%) patients with available CT reports, adding quantitative electroencephalography features to a combined mechanism and CT model improved performance (AUC (95% CI), 0.71 (0.61 to 0.80) vs 0.61 (0.51 to 0.72)).ConclusionsEpileptiform and spectral characteristics enhance covariates identified on TBI admission and CT abnormalities in PTE1prediction. Future trials should incorporate quantitative electroencephalography features to validate this enhancement of PTE risk stratification models.

Background and Purpose: Delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage negatively impacts long-term recovery but is often detected too late to prevent damage. We aim to develop hourly risk scores using routinely collected clinical data to detect DCI. Methods: A DCI classification model was trained using vital sign measurements (heart rate, blood pressure, respiratory rate, and oxygen saturation) and demographics routinely collected for clinical care. Twenty-two time-varying physiological measures were computed including mean, SD, and cross-correlation of heart rate time series with each of the other vitals. Classification was achieved using an ensemble approach with L2-regularized logistic regression, random forest, and support vector machines models. Classifier performance was determined by area under the receiver operating characteristic curves and confusion matrices. Hourly DCI risk scores were generated as the posterior probability at time t using the Ensemble classifier on cohorts recruited at 2 external institutions (n=38 and 40). Results: Three hundred ten patients were included in the training model (median, 54 years old [interquartile range, 45–65]; 80.2% women, 28.4% Hunt and Hess scale 4–5, 38.7% Modified Fisher Scale 3–4); 101 (33%) developed DCI with a median onset day 6 (interquartile range, 5–8). Classification accuracy before DCI onset was 0.83 (interquartile range, 0.76–0.83) area under the receiver operating characteristic curve. Risk scores applied to external institution datasets correctly predicted 64% and 91% of DCI events as early as 12 hours before clinical detection, with 2.7 and 1.6 true alerts for every false alert. Conclusions: An hourly risk score for DCI derived from routine vital signs may have the potential to alert clinicians to DCI, which could reduce neurological injury.

To qualitatively and quantitatively summarize curricula, teaching methods, and effectiveness of educational programs for training bedside care providers (non-experts) in the performance and screening of adult electroencephalography (EEG) for nonconvulsive seizures and other patterns. PRISMA methodological standards were followed. MEDLINE, EMBASE, Cochrane, CINAHL, WOS, Scopus, and MedEdPORTAL databases were searched from inception until February 26, 2020 with no restrictions. Abstract and full-text review was completed in duplicate. Studies were included if they were original research; involved non-experts performing, troubleshooting, or screening adult EEG; and provided qualitative descriptions of curricula and teaching methods and/or quantitative assessment of non-experts (vs gold standard EEG performance by neurodiagnostic technologists or interpretation by neurophysiologists). Data were extracted in duplicate. A content analysis and a meta-narrative review were performed. Of 2430 abstracts, 35 studies were included. Sensitivity and specificity of seizure identification varied from 38 to 100% and 65 to 100% for raw EEG; 40 to 93% and 38 to 95% for quantitative EEG, and 95 to 100% and 65 to 85% for sonified EEG, respectively. Non-expert performance of EEG resulted in statistically significant reduced delay (86 min, p

Seizures are common in critically ill patients. Electroencephalogram (EEG) is a tool that enables clinicians to provide continuous brain monitoring and to guide treatment decisions—brain telemetry. EEG monitoring has particular utility in the intensive care unit as most seizures in this setting are nonconvulsive. Despite the increased use of EEG monitoring in the critical care unit, it remains underutilized. In this review, we summarize the utility of EEG and different EEG modalities to monitor patients in the critical care setting.

Prolonged external ventricular drainage (EVD) in patients with subarachnoid hemorrhage (SAH) leads to morbidity, whereas early removal can have untoward effects related to recurrent hydrocephalus. A metric to help determine the optimal time for EVD removal or ventriculoperitoneal shunt (VPS) placement would be beneficial in preventing the prolonged, unnecessary use of EVD. This study aimed to identify whether dynamics of cerebrospinal fluid (CSF) biometrics can temporally predict VPS dependency after SAH.This was a retrospective analysis of a prospective, single-center, observational study of patients with aneurysmal SAH who required EVD placement for hydrocephalus. Patients were divided into VPS-dependent (VPS+) and non-VPS dependent groups. We measured the bicaudate index (BCI) on all available computed tomography scans and calculated the change over time (ΔBCI). We analyzed the relationship of ΔBCI with CSF output by using Pearson's correlation. A k-nearest neighbor model of the relationship between ΔBCI and CSF output was computed to classify VPS.Fifty-eight patients met inclusion criteria. CSF output was significantly higher in the VPS+ group in the 7 days post EVD placement. There was a negative correlation between delta BCI and CSF output in the VPS+ group (negative delta BCI means ventricles become smaller) and a positive correlation in the VPS- group starting from days four to six after EVD placement (p 0.05). A weighted k-nearest neighbor model for classification had a sensitivity of 0.75, a specificity of 0.70, and an area under the receiver operating characteristic curve of 0.80.The correlation of ΔBCI and CSF output is a reliable intraindividual biometric for VPS dependency after SAH as early as days four to six after EVD placement. Our machine learning model leverages this relationship between ΔBCI and cumulative CSF output to predict VPS dependency. Early knowledge of VPS dependency could be studied to reduce EVD duration in many centers (intensive care unit length of stay).

ObjectiveTo better understand the heterogeneous population of patients with new-onset refractory status epilepticus (NORSE), we studied the most severe cases in patients who presented with new-onset super-refractory status epilepticus (NOSRSE).MethodsWe report a retrospective case series of 26 adults admitted to the Columbia University Irving Medical Center neurologic intensive care unit (NICU) from February 2009 to February 2016 with NOSRSE. We evaluated demographics, diagnostic studies, and treatment course. Outcomes were modified Rankin Scale score (mRS) at hospital discharge and most recent follow-up visit (minimum of 2 months post discharge), NICU and hospital length of stay, and long-term antiepileptic drug use.ResultsOf the 252 patients with refractory status epilepticus, 27/252 had NORSE and 26/27 of those had NOSRSE. Age was bimodally distributed with peaks at 27 and 63 years. The majority (96%) had an infectious or psychiatric prodrome. Etiology was cryptogenic in 73%, autoimmune in 19%, and infectious in 8%. Seven patients (27%) underwent brain biopsy, autopsy, or both; 3 (12%) were diagnostic (herpes simplex encephalitis, candida encephalitis, and acute demyelinating encephalomyelitis). On discharge, 6 patients (23%) had good or fair outcome (mRS 0–3). Of the patients with long-term follow-up data (median 9 months, interquartile range 2–22 months), 12 patients (71%) had mRS 0–3.ConclusionAmong our cohort, nearly all patients with NORSE had NOSRSE. The majority were cryptogenic with few antibody-positive cases identified. Neuropathology was diagnostic in 12% of cases. Although only 23% of patients had good or fair outcome on discharge, 71% met these criteria at follow-up.

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

PURPOSE OF REVIEW: Status epilepticus is a neurological emergency associated with high morbidity and mortality. There is a lack of robust data to guide the management of this neurological emergency beyond the initial treatment. This review examines recent literature on treatment considerations including the choice of continuous anesthetics or adjunctive anticonvulsant, the cause of the status epilepticus, and use of nonpharmacologic therapies. RECENT FINDINGS: Status epilepticus remains undertreated and mortality persists to be unchanged over the past 30 years. New anticonvulsant choices, such as levetiracetam and lacosamide have been explored as alternative emergent therapies. Anecdotal reports on the use of other generation anticonvulsants and nonpharmacologic therapies for the treatment of refractory and super-refractory status epilepticus have been described. Finally, recent evidence has examined etiology-guided management of status epilepticus in certain patient populations, such as immune-mediated, paraneoplastic or infectious encephalitis and anoxic brain injury. SUMMARY: Randomized clinical trials are needed to determine the role for newer generation anticonvulsants and nonpharmacologic modalities for the treatment of epilepticus remains and evaluate the long-term outcomes associated with continuous anesthetics.

Background The objective of this study was to evaluate the accuracy of seizure burden in patients with super-refractory status epilepticus (SRSE) by using quantitative electroencephalography (qEEG). Methods EEG recordings from 69 patients with SRSE (2009-2019) were reviewed and annotated for seizures by three groups of reviewers: two board-certified neurophysiologists using only raw EEG (gold standard), two neurocritical care providers with substantial experience in qEEG analysis (qEEG experts), and two inexperienced qEEG readers (qEEG novices) using only a qEEG trend panel. Results Raw EEG experts identified 35 (51%) patients with seizures, accounting for 2950 seizures (3,126 min). qEEG experts had a sensitivity of 93%, a specificity of 61%, a false positive rate of 6.5 per day, and good agreement (κ = 0.64) between both qEEG experts. qEEG novices had a sensitivity of 98.5%, a specificity of 13%, a false positive rate of 15 per day, and fair agreement (κ = 0.4) between both qEEG novices. Seizure burden was not different between the qEEG experts and the gold standard (3,257 vs. 3,126 min), whereas qEEG novices reported higher burden (6066 vs. 3126 min). Conclusions Both qEEG experts and novices had a high sensitivity but a low specificity for seizure detection in patients with SRSE. qEEG could be a useful tool for qEEG experts to estimate seizure burden in patients with SRSE.

Refractory and super-refractory status epilepticus (RSE and SRSE) are life-threatening conditions requiring prompt initiation of appropriate treatment to avoid permanent neurological damage and reduce morbidity and mortality. RSE is defined as status epilepticus that persists despite administering at least two appropriately dosed parenteral medications, including a benzodiazepine. SRSE is status epilepticus that persists at least 24 h after adding at least one appropriately dosed continuous anesthetic (i.e., midazolam, propofol, pentobarbital, and ketamine). Other therapeutic interventions include immunotherapy, neuromodulation, ketogenic diet, or even surgical intervention in certain cases. Continuous electroencephalogram is an essential monitoring tool for diagnosis and treatment. In this review, we focus on the diagnosis and treatment of RSE and SRSE.

The association between impaired brain perfusion, cerebrovascular reactivity status and the risk of ictal events in patients with subarachnoid hemorrhage is unknown. We identified 13 subarachnoid hemorrhage (SAH) patients with seizures and 22 with ictal-interictal continuum (IIC), and compared multimodality physiological recordings to 38 similarly poor-grade SAH patients without ictal activity. We analyzed 10,179 cumulative minutes of seizure and 12,762 cumulative minutes of IIC. Cerebrovascular reactivity (PRx) was not different between subjects with seizures, IIC, or controls. Cerebral perfusion pressure (CPP) was higher in patients with seizures [99 ± 6.5, p = .005] and IIC [97 ± 8.5, p = .007] when compared to controls [89 ± 12.3]. DeltaCPP, defined as actual CPP minus optimal CPP (CPPopt), was also higher in the seizure group [8.3 ± 7.9, p = .0003] and IIC [8.1 ± 10.3, p = .0006] when compared to controls [−0.1 ± 5]. Time spent with supra-optimal CPP was higher in the seizure group [342 ± 213 min/day, p = .002] when compared to controls [154 ± 120 min/day]. In a temporal examination, a supra-optimal CPP preceded increased seizures and IIC in SAH patients, an hour before and continued to increase during the events [ p

Troponin elevations due to Type II myocardial infarction (T2MI) are associated with hemorrhagic and ischemic strokes but there is little data on stroke severity, troponin elevation and outcome. We studied 1655 patients from a tertiary medical center between 1/2013-4/2015 using multivariate regression analysis for demographics, vascular risk factors, admission stroke severity, laboratory tests, echocardiogram results and discharge disposition. Troponin levels were classified as normal0.04 ng/ml and high0.04 ng/ml (critical if0.5 ng/ml). A T2MI was diagnosed by a trending troponin elevation; patients with type I MI, patients with subdural and epidural hematoma, or hemorrhagic metastatic disease and patients younger than 18 years old were excluded. We had 818 patients with ischemic stroke, 306 with intracerebral hemorrhage (ICH) and 169 with subarachnoid hemorrhage (SAH). Troponin was elevated (0.04 ng/ml) in 24.1% of ischemic stroke patients, 27.1% in the ICH group, and in 39% of SAH patients. High initial and peak troponin levels were associated with higher National Institutes of Health Stroke Scale (NIHSS) in patients with ischemic stroke (OR 1.04; CI 95%, 1.02-1.07, p = .001) and (OR 1.05; CI 95%, 1.03-1.07, p .001). In ICH patients, higher initial and peak troponin levels were not associated with worse ICH scores (OR 1.21; CI 95%, 0.66-2.22, p = .53) and (OR 1.36; CI 95%, 0.77-2.41, p = .29). In SAH patients, higher initial and peak troponin levels was associated with higher Hunt and Hess scores (OR 4.2; CI 95%, 1.6-11.4, p = .005) and (OR 3.14; CI 95%, 1.5-6.5, p = .002). In patients with high troponin levels mortality was 14.7% in ischemic stroke patients, 31.3% in our ICH patients, and 43.8% in our SAH. After adjusting for demographics and clinical risk factors, only high troponin ischemic stroke patients were associated with higher mortality (OR 6.16; CI95%, 2.46-15.4, p .001), and worse discharge disposition (OR 2.3; CI 95%, 1.19-4.45, p = .01). High troponin levels were not associated with change of outcomes in patients with SAH and ICH after adjusting for demographics and clinical risk factors. Elevated troponin due to T2MI is common in patients with ischemic strokes, ICH, and SAH. It is significantly associated with stroke severity, poor discharge disposition, and high mortality. Troponin levels should be considered on admission for acute strokes.

Background: Impaired level of consciousness (LOC) on presentation after intracerebral hemorrhage (ICH) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and trends after ICH by the LOC status on presentation. Methods: We studied 37,613 cases with ICH in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, ICH severity, hospital size and teaching status. Results: At stroke presentation, 12,272 (33%) cases had impaired LOC (mean age 72, 49% women, 61 white%, 20% Black, 14% Hispanic). Compared to cases with preserved LOC, LOC case were older (72 vs. 70 years old), more women (49% vs. 45%), more likely to have aphasia (38% vs. 16%), had lower GCS score (9 vs. 15), had greater ICH score (3 vs. 1), greater WLST rates (41% vs. 18%), and had greater in-hospital mortality rates (32% vs. 12%). In our adjusted model, no association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.4, 95%CI 0.2-0.9, p=0.03) and more likely to ambulate independently (OR 1.6, 95%CI 1.1-2.4, p=0.02). Trend analysis (2010-2019) showed decreased mortality, increased length of stay, and increased rates of discharge to home/rehab in all, regardless of the LOC status. Conclusion: In this large multi-center registry, a third of ICH cases presents with impaired LOC. Although LOC was not associated with significantly more in-hospital morality, LOC was associated with had higher rates of WLST and more disability at discharge. Future efforts should focus on biomarkers of LOC that detect early recovery and reduced disability in ICH patients with impaired LOC.

Background: Impaired level of consciousness (LOC) on presentation after acute ischemic stroke (AIS) may affect outcomes and the decision to withdraw life-sustaining treatment (WLST). We aim to investigate the outcomes and their trends after AISby the LOC on stroke presentation. Methods: We studied 238,989 cases with AIS in the Florida Stroke Registry from 2010-2019. Pearson chi-squared and Kruskall-Wallis tests were used to compare descriptive statistics. A multivariable-logistic regression with GEE accounted for basic demographics, comorbidities, stroke severity, location, hospital size and teaching status. Results: At stroke presentation, 32,861 (14%) cases had impaired LOC (mean age 77, 54% women, 60 white%, 19% Black, 16% Hispanic). Compared to cases with preserved LOC, impaired cases were older (77 vs. 72 years old), more women (54% vs. 48%), had more comorbidities, greater stroke severity on NIHSS ≥ 5 (49% vs. 27%), higher WLST rates (3% vs. 0.6%), and greater in-hospital mortality rates (9% vs. 3%). In our adjusted model however, no significant association was found between impaired LOC and in-hospital mortality, or length of stay. Those with preserved LOC were more likely discharged home/rehab (OR 0.7, 95%CI 0.6-0.8, p Conclusion: In this large multicenter registry, AIS cases presenting with impaired LOC had more severe strokes at presentation. Although LOC was not associated with significantly worse in-hospital morality, it was associated with higher rates of WLST and more disability among survivors. Future efforts should focus on biomarkers of LOC that discriminates the potential for early recovery and reduced disability in acute stroke patients with impaired LOC.

Objectives Prone positioning has been shown to be a beneficial adjunctive supportive measure for patients who develop acute respiratory distress syndrome. Studies have excluded patients with reduced intracranial compliance, whereby patients with concomitant neurologic diagnoses and acute respiratory distress syndrome have no defined treatment algorithm or recommendations for management. In this study, we aim to determine the safety and feasibility of prone positioning in the neurologically ill patients. Design and setting A systematic review of the literature, performed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analyses 2009 guidelines, yielded 10 articles for analysis. Using consensus from these articles, in combination with review of multi-institutional proning protocols for patients with nonneurologic conditions, a proning protocol for patients with intracranial pathology and concomitant acute respiratory distress syndrome was developed. Measurements and main results Among 10 studies included in the final analysis, we found that prone positioning is safe and feasible in the neurologically ill patients with acute respiratory distress syndrome. Increased intracranial pressure and compromised cerebral perfusion pressure may occur with prone positioning. We propose a prone positioning protocol for the neurologically ill patients who require frequent neurologic examinations and intracranial monitoring. Conclusions Although elevations in intracranial pressure and reductions in cerebral perfusion pressure do occur during proning, they may not occur to a degree that would warrant exclusion of prone ventilation as a treatment modality for patients with acute respiratory distress syndrome and concomitant neurologic diagnoses. In cases where intracranial pressure, cerebral perfusion pressure, and brain tissue oxygenation can be monitored, prone position ventilation should be considered a safe and viable therapy.

Objective: This study aimed to examine whether changes in intracranial pressure (ICP) waveform morphologies can be used as a biomarker for early detection of ventriculitis.

Recent racial inequities as illustrated by the health disparities in COVID-19 infections and deaths, the recent killings of Black men and women by law enforcement, and the widening socioeconomic inequality and have brought systemic racism into a national conversation. These unprecedented times may have deleterious consequences, increasing stress, and trauma for many members of the neurology workforce. The Equity, Diversity, Inclusion and Anti-Racism Committee within our Department of Neurology provides infrastructure and guidance to foster a culture of belonging and addresses the well-being of faculty, staff, and trainees. Here, we present the creation and implementation of our Equity, Diversity, Inclusion, and Anti-Racism (EDIA) Pledge, which was central to our committee's response to these unprecedented times. We outline the process of developing this unique EDIA Pledge and provide a roadmap for approaching these important topics through a Continuing Medical Education Neurology Grand Rounds aimed at fostering a diverse, inclusive, equitable, and antiracist work environment. Through the lived experiences of 4 faculty members, we identify the impact of bias and microaggressions and encourage allyship and personal development for cultural intelligence. We hope that these efforts will inspire neurology departments and other academic institutions across the globe to make a similar pledge.

Objective. Automatic detection of interictal epileptiform discharges (IEDs, short as ‘spikes’) from an epileptic brain can help predict seizure recurrence and support the diagnosis of epilepsy. Developing fast, reliable and robust detection methods for IEDs based on scalp or intracranial electroencephalogram (iEEG) may facilitate online seizure monitoring and closed-loop neurostimulation. Approach. We developed a new deep learning approach, which employs a long short-term memory network architecture (‘IEDnet’) and an auxiliary classifier generative adversarial network (AC-GAN), to train on both expert-annotated and augmented spike events from iEEG recordings of epilepsy patients. We validated our IEDnet with two real-world iEEG datasets, and compared IEDnet with the support vector machine (SVM) and random forest (RF) classifiers on their detection performances. Main results. IEDnet achieved excellent cross-validated detection performances in terms of both sensitivity and specificity, and outperformed SVM and RF. Synthetic spike samples augmented by AC-GAN further improved the detection performance. In addition, the performance of IEDnet was robust with respect to the sampling frequency and noise. Furthermore, we demonstrated the cross-institutional generalization ability of IEDnet while testing between two datasets. Significance. IEDnet achieves excellent detection performances in identifying interictal spikes. AC-GAN can produce augmented iEEG samples to improve supervised deep learning.

ObjectiveTo develop a risk prediction score identifying patients with intracerebral hemorrhage (ICH) at low risk for critical care.MethodsWe retrospectively analyzed data of 451 patients with ICH between 2010 and 2018. The sample was randomly divided into a development and a validation cohort. Logistic regression was used to develop a risk score by weighting independent predictors of intensive care unit (ICU) needs according to strength of association. The risk score was tested in the validation cohort and externally validated in a dataset from another institution.ResultsThe rate of ICU interventions was 80.3%. Systolic blood pressure (SBP), Glasgow Coma Scale (GCS) score, intraventricular hemorrhage (IVH), and ICH volume were independent predictors of critical care, resulting in the following point assignments for the Intensive Care Triaging in Spontaneous Intracerebral Hemorrhage (INTRINSIC) score: SBP 160 to 190 mm Hg (1 point), SBP >190 mm Hg (3 points); GCS 8 to 13 (1 point), GCS 3 (1 point), ICH volume >40 cm3 (2 points); and presence of IVH (1 point), with values ranging between 0 and 9. Among patients with a score of 0 and no ICU needs during their emergency department stay, 93.6% remained without critical care needs. In an external validation cohort of patients with ICH, the INTRINSIC score achieved an area under the receiver operating characteristic curve of 0.823 (95% confidence interval 0.782–0.863). A score ConclusionThe INTRINSIC score identifies patients with ICH who are at low risk for critical care interventions.Classification of EvidenceThis study provides Class II evidence that the INTRINSIC score identifies patients with ICH at low risk for critical care interventions.

To qualitatively and quantitatively summarize curricula, teaching methods, and effectiveness of educational programs for training bedside care providers (non-experts) in the performance and screening of adult electroencephalography (EEG) for nonconvulsive seizures and other patterns.PRISMA methodological standards were followed. MEDLINE, EMBASE, Cochrane, CINAHL, WOS, Scopus, and MedEdPORTAL databases were searched from inception until February 26, 2020 with no restrictions. Abstract and full-text review was completed in duplicate. Studies were included if they were original research; involved non-experts performing, troubleshooting, or screening adult EEG; and provided qualitative descriptions of curricula and teaching methods and/or quantitative assessment of non-experts (vs gold standard EEG performance by neurodiagnostic technologists or interpretation by neurophysiologists). Data were extracted in duplicate. A content analysis and a meta-narrative review were performed.Of 2430 abstracts, 35 studies were included. Sensitivity and specificity of seizure identification varied from 38 to 100% and 65 to 100% for raw EEG; 40 to 93% and 38 to 95% for quantitative EEG, and 95 to 100% and 65 to 85% for sonified EEG, respectively. Non-expert performance of EEG resulted in statistically significant reduced delay (86 min, p 0.0001; 196 min, p 0.0001; 667 min, p 0.005) in EEG completion and changes in management in approximately 40% of patients. Non-experts who were trained included physicians, nurses, neurodiagnostic technicians, and medical students. Numerous teaching methods were utilized and often combined, with instructional and hands-on training being most common.Several different bedside providers can be educated to perform and screen adult EEG, particularly for the purpose of diagnosing nonconvulsive seizures. While further rigorous research is warranted, this review demonstrates several potential bridges by which EEG may be integrated into the care of critically ill patients.

To survey the literature around “big data” and “artificial intelligence” use, its challenges, and examples in clinical and research domains within neurocritical care. Innovations in digital data storage and integration technology have motivated the active development of data-driven tools for neurocritical care practice. There has been progress towards harmonization of data dictionaries within the field to boost generalizability of studies. Numerous collaborative groups have cultivated datasets that will enable further study of disease detection, prediction, and management of critically ill neurologic patients. Essential to the effective analysis of big data in neurocritical care are the increasing relationships between clinicians and data scientists. There are multiple challenges related to the efficient and ethical use of big data, including data complexity, database stewardship and governance, data quality, and safe implementation of data-driven conclusions. Continued efforts towards optimally harnessing data will be crucial in neurocritical care. Critically ill neurologic patients generate an abundant amount of data in the course of routine management. Clinical research is evolving from benefiting the “average patient” to aiming to deliver more precise treatment to the individual patient. In neurocritical care, this has manifested through big data—for triage decisions, enhancing workflow, event detection, and outcome prediction.

We report a case of focal status epilepticus (SE) associated with peri-ictal water drinking (PIWD) behavior in a nine-year-old left-handed boy with epilepsy. We reviewed prior cases of epileptic peri-ictal water drinking. Only one adult patient with status epilepticus and PIWD has been reported previously. This is the first reported case of PIWD SE in a pediatric patient with frontal lobe epilepsy. We found PIWD to have no lateralizing value., Highlights • We report a case of focal status epilepticus (SE) associated with peri-ictal water drinking (PIWD). • PIWD is a rare autonomic symptom. • We found PIWD to have no lateralizing value.

ObjectiveTo test ketamine infusion efficacy in the treatment of super-refractory status epilepticus (SRSE), we studied patients with SRSE who were treated with ketamine retrospectively. We also studied the effect of high doses of ketamine on brain physiology as reflected by invasive multimodality monitoring (MMM).MethodsWe studied a consecutive series of 68 patients with SRSE who were admitted between 2009 and 2018, treated with ketamine, and monitored with scalp EEG. Eleven of these patients underwent MMM at the time of ketamine administration. We compared patients who had seizure cessation after ketamine initiation to those who did not.ResultsMean age was 53 ± 18 years and 46% of patients were female. Seizure burden decreased by at least 50% within 24 hours of starting ketamine in 55 (81%) patients, with complete cessation in 43 (63%). Average dose of ketamine infusion was 2.2 ± 1.8 mg/kg/h, with median duration of 2 (1–4) days. Average dose of midazolam was 1.0 ± 0.8 mg/kg/h at the time of ketamine initiation and was started at a median of 0.4 (0.1–1.0) days before ketamine. Using a generalized linear mixed effect model, ketamine was associated with stable mean arterial pressure (odds ratio 1.39, 95% confidence interval 1.38–1.40) and with decreased vasopressor requirements over time. We found no effect on intracranial pressure, cerebral blood flow, or cerebral perfusion pressure.ConclusionKetamine treatment was associated with a decrease in seizure burden in patients with SRSE. Our data support the notion that high-dose ketamine infusions are associated with decreased vasopressor requirements without increased intracranial pressure.Classification of evidenceThis study provides Class IV evidence that ketamine decreases seizures in patients with SRSE.

Disorder of consciousness (DOC) is common in patients with acute brain injury (ABI) and it weighs heavily in goals of care discussion.1 Dopaminergic agents to support recovery have shown encouraging results in chronic DOC following traumatic brain injury (TBI) and are currently the most promising candidates to also support recovery during the acute post injury phase.2 Amantadine is a neurohormonal modulator that increases the concentration of dopamine at the synaptic cleft. Behavioural assessments of consciousness alone are often operator dependent, time consuming to obtain and may miss patients with covert consciousness.3 Our hypothesis is that resting Electroencephalogram (EEG) features follow a predictable course preceding behavioural recovery in patients with acute non-hypoxic-ischaemic brain injury receiving amantadine and may serve as biomarkers for recovery of consciousness. We studied 44 patients with ABI that were not following commands and were on EEG monitoring before and after the start of amantadine. A full description of the methods is available in the online supplementary file. ### Supplementary data [jnnp-2019-322645supp001.pdf] ### Study cohort From a cohort of 44 patients, 30 (68%) recovered consciousness prior to hospital discharge (online supplementary tables S1, S2). ### Baseline predictors of recovery Age, focal versus diffuse brain injury and admission Glasgow Coma Score were not associated with recovery of command following. Presence of sleep structures in the EEG (spindles and K-complexes) prior to starting amantadine was independently associated with recovery of command following (online supplementary table S3). Average spectrogram plots for each EEG recording classified according to the ‘ABCD’ model representing thalamocortical integrity were generated (figure 1A, online supplementary figure).4 The percent of patients that recovered command following did not increase hierarchically with higher ‘ABCD’ levels (figure 1B). Power spectral density analysis …

Background The clinical presentation and risk factors of nonconvulsive status epilepticus (NCSE) in the context of electroconvulsive therapy (ECT) are poorly understood, and guidance regarding diagnosis and management remains scarce. In this article, we identify case reports of ECT-induced NCSE from literature, and discuss the presentation, diagnosis, and management of these cases in the context of what is known about NCSE from the neurology literature. Methods A literature search on PubMed for case reports of NCSE after ECT. Results We identified 13 cases for this review. Diagnosis in all cases was based on clinical features and electroencephalogram (EEG) findings. Clinical presentation was altered mental status or unresponsiveness, with subtle motor phenomena in some cases. All cases had nonspecific risk factors that have been associated with prolonged seizures and convulsions, such as recent discontinuation/reduction of benzodiazepines or anticonvulsants, and concurrent use of antipsychotics and antidepressants. All patients were treated with either benzodiazepines or antiepileptic agents. Outcomes in these post-ECT NCSE cases were generally favorable. Discussion Although rare, post-ECT NCSE should be kept in mind by physicians when confusion or unresponsiveness develops and continues after ECT; multilead EEG is gold standard for diagnosis. An intravenous (IV) antiepileptic drug (AED) challenge can help clarify the diagnosis. Initial treatment is recommended with IV benzodiazepines, with a repeat dose if necessary. If seizures persist, IV AEDs are warranted. NCSE refractory to this treatment should be treated with a scheduled IV or oral AED. Serial multilead EEGs should be used to monitor resolution of symptoms. Conclusion NCSE after ECT is a rare but recognizable clinical event. A high clinical suspicion and low threshold for EEG is necessary for prompt diagnosis.

Case series Patient: Male, 52 • Female, 68 Final Diagnosis: VBD Symptoms: Ophthalmoplegia Medication: — Clinical Procedure: — Specialty: Neurology Objective: Unusual clinical course Background: Vertebrobasilar dolichoectasia (VBD) is a complex progressive arterial disease characterized by dilation, elongation, and tortuosity of the vertebral and basilar arteries, and may be congenital or acquired. VBD may lead to progressive compression of the brainstem, cranial nerve abnormalities, and intracranial hemorrhage, but may also be associated with arterial thrombosis, with ischemic stroke as the most common clinical outcome. Case Report: Two cases of VBD are presented, both with acute bilateral ophthalmoplegia and cranial nerve palsies, and vertebrobasilar arterial thrombosis that resulted in ischemic stroke. Conclusions: VBD is a complex arterial disease with a variety of clinical manifestation, with bilateral ophthalmoplegia being a rare presentation. Clinical management of VBD is a challenge as there are no current management guidelines. Therefore, clinical management of cases of VBD should be individualized to balance the risks and benefits of treatment options for each patient.

Objective: Among patients with status epilepticus, we sought to determine the rate of endotracheal intubation, identify the physician specialties responsible for endotracheal intubation, and characterize the trend in use of endotracheal intubation over the last 20 years. Methods: We performed a cross-sectional study using data from 2 sources. First, we used inpatient claims between 2009 and 2015 from a nationally representative 5% sample of Medicare beneficiaries. Patients with status epilepticus were identified using International Classification of Diseases, 9th Revision, Clinical Modification ( ICD-9-CM) codes, and those who underwent endotracheal intubation were identified based on Current Procedural Terminology codes. Medical specialties of providers performing intubation were identified based on Healthcare Provider Taxonomy Codes. Second, we used claims data from the National Inpatient Sample (NIS) to estimate the annual rates and trends of endotracheal intubation and tracheostomy among patients with status epilepticus from 1995 to 2014. Results: Among 1971 Medicare beneficiaries with status epilepticus, 566 (29%) patients underwent endotracheal intubation. 375 (66%) patients were intubated on admission. The most common medical providers performing intubation in patients with status epilepticus were emergency medicine physicians (50.4%), anesthesiologists (16.4%), and pulmonary medicine physicians (10.1%). Neurologists accounted for 1.7% of all intubations. Among individuals with status epilepticus identified in the NIS, 248 681 (41.7%) were intubated. The proportion of patients intubated increased from 29.5% (95% confidence interval [CI]: 27.8%-31.3%, P = .018) in 1995 to 50.8% (95% CI: 49.6%-52%, P = .012) in 2014. The proportion of patients with status epilepticus who underwent tracheostomy increased from 2.2% (95% CI: 1.7%-2.7%, P = .005) in 1995 to 3.4% (95% CI: 3%-3.9%, P = .004) in 2014. Significance: Approximately 1 in 3 patients with status epilepticus undergo endotracheal intubation. Over the last 20 years, the proportion of patients with status epilepticus undergoing endotracheal intubation has almost doubled. Neurologists perform a small percentage of these intubations.

The objective of this study was to examine whether heart rate variability (HRV) measures can be used to detect neurocardiogenic injury (NCI). Three hundred and twenty-six consecutive admissions with aneurysmal subarachnoid hemorrhage (SAH) met criteria for the study. Of 326 subjects, 56 (17.2%) developed NCI which we defined by wall motion abnormality with ventricular dysfunction on transthoracic echocardiogram or cardiac troponin-I > 0.3 ng/mL without electrocardiogram evidence of coronary artery insufficiency. HRV measures (in time and frequency domains, as well as nonlinear technique of detrended fluctuation analysis) were calculated over the first 48 h. We applied longitudinal multilevel linear regression to characterize the relationship of HRV measures with NCI and examine between-group differences at baseline and over time. There was decreased vagal activity in NCI subjects with a between-group difference in low/high frequency ratio (β 3.42, SE 0.92, p = 0.0002), with sympathovagal balance in favor of sympathetic nervous activity. All time-domain measures were decreased in SAH subjects with NCI. An ensemble machine learning approach translated these measures into a classification tool that demonstrated good discrimination using the area under the receiver operating characteristic curve (AUROC 0.82), the area under precision recall curve (AUPRC 0.75), and a correct classification rate of 0.81. HRV measures are significantly associated with our label of NCI and a machine learning approach using features derived from HRV measures can classify SAH patients that develop NCI.

Introduction: Hunter syndrome (mucopolysaccharidosis II) is a rare genetic disorder. Carpal tunnel syndrome (CTS) is a common finding in these patients. Methods: We report the ultrasound findings in a 40-year-old Hunter syndrome patient with severe CTS. Results: Marked abnormalities of the median nerve were present proximal to the carpal tunnel with an unusual area of increased echogenicity between enlarged fascicles separating the area of maximal enlargement and the normal median nerve proximally. Conclusions: This case demonstrated unique ultrasound findings in a Hunter syndrome with CTS. Ultrasound also localized the median nerve lesion in the setting of end-stage median neuropathy and nonlocalizing electrophysiology. Muscle Nerve 53: 147–150, 2016

Objective Seizures can be provoked by systemic diseases associated with metabolic derangements, but the association between liver disease and seizures remains unclear. Methods We performed a retrospective cohort study using inpatient and outpatient claims between 2008 and 2015 from a nationally representative 5% sample of Medicare beneficiaries. The primary exposure variable was cirrhosis, and the secondary exposure was mild, noncirrhotic liver disease. The primary outcome was seizure, and the secondary outcome was status epilepticus. Diagnoses were ascertained using validated International Classification of Diseases, Ninth Edition, Clinical Modification codes. Survival statistics were used to calculate incidence rates, and Cox proportional hazards models were used to examine the association between exposures and outcomes while adjusting for seizure risk factors. Results Among 1 782 402 beneficiaries, we identified 10 393 (0.6%) beneficiaries with cirrhosis and 19 557 (1.1%) with mild, noncirrhotic liver disease. Individuals with liver disease were older and had more seizure risk factors than those without liver disease. Over 4.6 ± 2.2 years of follow-up, 49 843 (2.8%) individuals were diagnosed with seizures and 25 patients (0.001%) were diagnosed with status epilepticus. Cirrhosis was not associated with seizures (hazard ratio [HR] = 1.1, 95% confidence interval [CI] = 1.0-1.3), but there was an association with status epilepticus (HR = 1.9, 95% CI = 1.3-2.8). Mild liver disease was not associated with a higher risk of seizures (HR = 0.8, 95% CI = 0.6-0.9) or status epilepticus (HR = 1.1, 95% CI = 0.7-1.5). Significance In a large, population-based cohort, we found an association between cirrhosis and status epilepticus, but no overall association between liver disease and seizures.

Purpose Generalized periodic discharges (GPDs) with a triphasic morphology have been associated with nonepileptic encephalopathies. We conducted the study to assess the reliability in which electroencephalographers can differentiate triphasic from nontriphasic periodic discharges and to evaluate for the presence of electroencephalogram and clinical characteristics that are associated with a higher risk of seizures. Methods We studied prospectively 92 patients between May 2016 and February 2017. Each pattern was analyzed by two readers, who were blinded to clinical data. Results The interrater agreement was "substantial" (Kappa 0.67). The following features significantly increased the risk of developing seizures: the absence of triphasic morphology, focality on electroencephalogram, interburst suppression, a history of epilepsy, and an abnormal scan. The "GPD score" includes a history of epilepsy, focality on electroencephalogram, and the absence of triphasic morphology. A GPD score of 0 has 13% risk of seizures, whereas a score of 5 to 6 has a 94% risk. Conclusions Triphasic morphology GPDs confer less risk of seizures when compared with patients with GPDs without triphasic morphology. Features with a higher risk of seizures include focality on electroencephalogram, interburst suppression, a history of epilepsy, and an abnormal scan. The GPD score can be used to assess the risk of developing seizures in patients with GPDs.