Publications by authors named "Dirk Straver"

Background And Objectives: Early neuroprognostication in children with reduced consciousness after cardiac arrest (CA) is a major clinical challenge. EEG is frequently used for neuroprognostication in adults, but has not been sufficiently validated for this indication in children. Using machine learning techniques, we studied the predictive value of quantitative EEG (qEEG) features for survival 12 months after CA, based on EEG recordings obtained 24 hours after CA in children.

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Article Synopsis
  • The study explored the potential of supervised machine learning applied to ECG data for real-time sleep monitoring in pediatric intensive care, which is currently not available.
  • Researchers analyzed polysomnography recordings from 90 non-critically ill children, developing various machine learning models to classify sleep states based on derived features from the ECG data.
  • Results showed that the models achieved moderate to good accuracy, especially in classifying two and three sleep states, with the XGBoost model performing best overall, highlighting the method's promise for bedside use.
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Article Synopsis
  • The study aims to create a straightforward index for sleep classification using electroencephalography data to address sleep disruption in pediatric intensive care units where real-time monitoring is unavailable.! -
  • A retrospective analysis was performed at Erasmus MC Sophia Children's Hospital on polysomnography recordings from non-critically ill children between 2017 and 2021, evaluating sleep patterns across various age groups and frequency bands.! -
  • The results indicated a strong performance of the developed sleep index, particularly with a gamma to delta power ratio, achieving balanced accuracy rates of up to 0.92 for two-state classifications in different age categories, suggesting it could facilitate automated sleep monitoring for children aged 6 months to 18 years.!
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Objectives: Postresuscitation care in children focuses on preventing secondary neurologic injury and attempts to provide (precise) prognostication for both caregivers and the medical team. This systematic review provides an overview of neuromonitoring modalities and their potential role in neuroprognostication in postcardiac arrest children.

Data Resources: Databases EMBASE, Web of Science, Cochrane, MEDLINE Ovid, Google Scholar, and PsycINFO Ovid were searched in February 2019.

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Multifocal motor neuropathy (MMN) is a rare inflammatory neuropathy characterized by progressive, asymmetric distal limb weakness and conduction block (CB). Clinically MMN is a pure motor neuropathy, which as such can mimic motor neuron disease. GM1-specific IgM antibodies are present in the serum of approximately half of all MMN patients, and are thought to play a key role in the immune pathophysiology.

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In the second part of this review we deal with the clinical aspects of immune-mediated demyelinating neuropathies. We describe the relationship between pathophysiology and symptoms and discuss the pathophysiology of specific disease entities, including Guillain-Barré syndrome, chronic inflammatory demyelinating polyneuropathy, multifocal motor neuropathy, anti-myelin-associated glycoprotein neuropathy, and POEMS syndrome.

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This first article of this review deals with neuroscientific aspects of immune-mediated demyelinating neuropathies. It describes the anatomy and physiology of normal myelinated axons, methods of studying peripheral nerve physiology, pathophysiological consequences of demyelination or damage at the node of Ranvier, and the mechanisms that may lead to impaired axonal membrane dysfunction or axonal degeneration. This article (part I) will be followed by a second (part II) dealing with clinical aspects of these neuropathies.

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Multifocal motor neuropathy (MMN) is a rare inflammatory neuropathy characterized by slowly progressive, asymmetric distal limb weakness without sensory loss. The clinical presentation of MMN may mimic amyotrophic lateral sclerosis, other variants of motor neuron disease, or chronic inflammatory demyelinating polyneuropathy with asymmetric onset. Differentiation is important, as these diseases differ in prognosis and treatment.

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Activity-induced weakness was reported in multifocal motor neuropathy (MMN) and chronic inflammatory demyelinating polyneuropathy (CIDP). This was attributed to activity-dependent conduction block (CB) arising in demyelinated axons. It is not known if activity-induced weakness is common, nor if it is specific for MMN and CIDP.

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Previous studies suggested that activity-dependent conduction block (CB) contributes to weakness in multifocal motor neuropathy (MMN). Obtaining more robust evidence for activity-dependent CB is important because it may be a novel target for treatment strategies. We performed nerve conduction studies in 22 nerve segments of 19 MMN patients, before and immediately after 60 seconds of maximal voluntary contraction (MVC) of the relevant muscle.

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Previous studies suggested that activity-dependent conduction block (CB) contributes to weakness in chronic inflammatory demyelinating polyneuropathy (CIDP). These studies, however, investigated only one nerve segment per patient, employed cervical magnetic stimulation which may be submaximal, included nerves with extremely low compound muscle action potentials (CMAPs) which precludes assessment of CB, and lacked predefined criteria for activity-dependent CB. Obtaining more robust evidence for activity-dependent CB is important because it may be treated pharmacologically.

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Increased weakness during cold (cold paresis) was reported in single cases of multifocal motor neuropathy (MMN). This was unexpected because demyelination is a feature of MMN and symptoms of demyelination improve, rather than worsen, in cold. It was hypothesized that cold paresis in MMN does not reflect demyelination only, but may indicate the existence of inflammatory nerve lesions with permanently depolarized axons that only just conduct at normal temperature, but fail at lower temperatures.

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