Citations

Abstract Objective . Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery. Approach . Data from seven patients (age 34 ± 12 , 4 women) who underwent intracranial depth electrode implantation for iEEG monitoring were included. Spectral power features (0.1–600 Hz) spanning several frequency bands from a single electrode were used to train and test a support vector machine classifier. Main results . Classification accuracy of 97.8 ± 0.3% (normal tissue) and 89.4 ± 0.8% (epileptic tissue) across seven subjects using multiple spectral power features from a single electrode was achieved. Spectral power features from electrodes placed in normal temporal neocortex were found to be more useful (accuracy 90.8 ± 0.8%) for sleep-wake state classification than electrodes located in normal hippocampus (87.1 ± 1.6%). Spectral power in high frequency band features (Ripple (80–250 Hz), Fast Ripple (250–600 Hz)) showed comparable performance for AW and SWS classification as the best performing Berger bands (Alpha, Beta, low Gamma) with accuracy ⩾90% using a single electrode contact and single spectral feature. Significance . Automated classification of wake and SWS should prove useful for future implantable epilepsy devices with limited computational power, memory, and number of electrodes. Applications include quantifying patient sleep patterns and behavioral state dependent detection, prediction, and electrical stimulation therapies.

AbstractAs part of the 2016 Academic Emergency Medicine Consensus Conference, “Shared Decision Making in the Emergency Department: Development of a Policy‐relevant Patient‐centered Research Agenda,” a panel of representatives from the Office of Emergency Care Research, the Patient‐Centered Outcomes Research Institute, the American Heart Association, the John A. Hartford Foundation, and the Emergency Care Coordination Center were assembled to discuss funding opportunities for future research in this field. This article summarizes their discussion of funding priorities and examples of successfully funded projects related to shared decision making in emergency medicine.

SummaryObjectiveLocal field potentials (LFPs) arise from synchronous activation of millions of neurons, producing seemingly consistent waveform shapes and relative synchrony across electrodes. Interictal spikes (IISs) are LFPs associated with epilepsy that are commonly used to guide surgical resection. Recently, changes in neuronal firing patterns observed in the minutes preceding seizure onset were found to be reactivated during postseizure sleep, a process called seizure‐related consolidation (SRC), due to similarities with learning‐related consolidation. Because IISs arise from summed neural activity, we hypothesized that changes in IIS shape and relative synchrony would be observed in the minutes preceding seizure onset and would be reactivated preferentially during postseizure slow‐wave sleep (SWS).MethodsScalp and intracranial recordings were obtained continuously across multiple days from clinical macroelectrodes implanted in patients undergoing treatment for intractable epilepsy. Data from scalp electrodes were used to stage sleep. Data from intracranial electrodes were used to detect IISs using a previously established algorithm. Partial correlations were computed for sleep and wake periods before and after seizures as a function of correlations observed in the minutes preceding seizures. Magnetic resonance imaging (MRI) and computed tomography (CT) scans were co‐registered with electroencephalography (EEG) to determine the location of the seizure‐onset zone (SOZ).ResultsChanges in IIS shape and relative synchrony were observed on a subset of macroelectrodes minutes before seizure onset, and these changes were reactivated preferentially during postseizure SWS. Changes in synchrony were greatest for pairs of electrodes where at least one electrode was located in the SOZ.SignificanceThese data suggest preseizure changes in neural activity and their subsequent reactivation occur across a broad spatiotemporal scale: from single neurons to LFPs, both within and outside the SOZ. The preferential reactivation of seizure‐related changes in IISs during postseizure SWS adds to a growing body of literature suggesting that pathologic neural processes may utilize physiologic mechanisms of synaptic plasticity.

AbstractShared decision making (SDM) has been advocated as an approach to selecting medical tests and treatments for many situations. The goal of SDM is to ensure that patients are well informed, are meaningfully involved in decisions, and receive treatments that meet their goals and preferences. There is considerable evidence about the tools used to promote SDM, called patient decision aids, and many different measures have been developed to assess the impact of SDM. However, fairly little is known about the applicability of the tools and measures in the emergency department (ED) setting. This article builds on insights from two keynote lectures presented at the 2016 Academic Emergency Medicine Consensus Conference discussing the state of the science for measurement of SDM and the design of patient decision aids to promote SDM conversations and highlights some key areas for further research to advance SDM in the ED.

AbstractObjectivesto compare healthcare utilization including coronary angiography, percutaneous coronary intervention (PCI), rehospitalization, and rate of subsequent acute myocardial infarction (AMI) within 30 days, among patients presenting to the emergency department (ED) with chest pain admitted as short‐term inpatient (≤2 days) versus observation (in‐ED observation units combined with in‐hospital observation).MethodsWe identified adults diagnosed with acute chest pain in the ED from 2010 to 2014 using administrative claims from privately insured and Medicare Advantage. Patients having AMI during the index visit were excluded. One‐to‐one propensity‐score matching and logistic regression were used. Odds ratios (ORs) with 95% confidence intervals (CIs) were reported.ResultsA total of 774,017 chest pain visits were included. After matching, healthcare utilization was lower among observation versus short inpatient, with 10.9% versus 24.4% (OR = 0.38, 95% CI = 0.36 to 0.39) undergoing cardiac catheterization and 1.8% versus 7.6% (OR = 0.23, 95% CI = 0.21 to 0.24) having PCI. The incidence of subsequent AMI within the following 30 days was similar in patients admitted as observation versus short inpatient (0.23% vs. 0.21%; OR = 1.09, 95% CI = 0.84 to 1.42).ConclusionsThere were higher rates of cardiac catheterization and PCI among those admitted as a short inpatient compared to observation, while the incidence of subsequent AMI within 30 days was similar.

Although pathophysiological links between postmenopause and healthy aging remain unclear, both factors are associated with increased blood pressure and sympathetic nerve activity (SNA) in women. Activation of polymodal musculoskeletal neural afferents originating within adventia of venules modulates SNA and blood pressure control during exercise in healthy adults. We hypothesized transient subsystolic regional circulatory occlusion (RCO) during exercise sensitizes these afferents leading to augmented systemic vascular resistance (SVR)-mediated increased mean arterial pressure (MAP) in postmenopause vs. premenopause. Normotensive women in premenopause or postmenopause ( n = 14 and 14; ages: 30 ± 9 and 55 ± 7 yr, respectively; P < 0.01) performed: 1) peak exercise testing and 2) fixed-load cycling at 30% peak workload (48 ± 11 and 38 ± 6 W, respectively; P < 0.01), whereby the initial 3 min were control exercise without RCO (CTL), thereafter including 2 min of bilateral-thigh RCO to 20, 40, 60, 80, or 100 mmHg (randomized), with 2 min deflation between RCO. Both MAP (17 ± 4 vs. 4 ± 4%, P = 0.02) and SVR (16 ± 8 vs. −3 ± 8%, P = 0.04) increased at 80 mmHg from CTL in postmenopause vs. premenopause, respectively. However, cardiac index was similar in postmenopause vs. premenopause at 80 mmHg from CTL (1 ± 6 vs. 7 ± 6%, respectively; P = 0.15). There was no continuous effect of aging in MAP ( P = 0.12), SVR ( P = 0.07), or cardiac index ( P = 0.18) models. These data suggest transient locomotor subsystolic RCO sensitizes musculoskeletal afferents, which provoke increased SVR to generate augmented MAP during exercise in postmenopause. These observations provide a novel approach for understanding the age-independent variability in exercise blood pressure control across the normotensive adult pre- to postmenopause spectrum.