Arendina W. van der Kooi

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Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting state are increasingly used to study functional connectivity and network topology. Moreover, the number of different analysis approaches is expanding along with the rising interest in this research area. The comparison between studies can therefore be challenging and(More)
OBJECTIVE To determine the attributable mortality caused by delirium in critically ill patients. DESIGN Prospective cohort study. SETTING 32 mixed bed intensive care unit in the Netherlands, January 2011 to July 2013. PARTICIPANTS 1112 consecutive adults admitted to an intensive care unit for a minimum of 24 hours. EXPOSURES Trained observers(More)
Non-dystrophic myotonic syndromes represent a heterogeneous group of clinically quite similar diseases sharing the feature of myotonia. These syndromes can be separated into chloride and sodium channelopathies, with gene-defects in chloride or sodium channel proteins of the sarcolemmal membrane. Myotonia has its basis in an electrical instability of the(More)
Sympathovagal balance, assessed with heart rate variability (HRV), may be altered in intensive care unit (ICU) delirium. HRV was measured in the frequency domain [low frequencies (LF)=0.04-0.15 Hz and high frequencies (HF)=0.15-0.40 Hz] with HF in normalized units (HFnu) to evaluate parasympathetic tone and LF:HF ratio for sympathovagal balance. The authors(More)
PURPOSE The association between benzodiazepine use and delirium risk in the ICU remains unclear. Prior investigations have failed to account for disease severity prior to delirium onset, competing events that may preclude delirium detection, other important delirium risk factors, and an adequate number of patients receiving continuous midazolam. The aim of(More)
OBJECTIVE To gain insight in the underlying mechanism of reduced levels of consciousness due to hypoactive delirium versus recovery from anesthesia, we studied functional connectivity and network topology using electroencephalography (EEG). METHODS EEG recordings were performed in age and sex-matched patients with hypoactive delirium (n=18), patients(More)
OBJECTIVE To investigate whether delirious patients differ from nondelirious patients with regard to blinks and eye movements to explore opportunities for delirium detection. METHODS Using a single-center, observational study in a tertiary hospital in the Netherlands, we studied 28 delirious elderly and 28 age- and gender-matched (group level)(More)
INTRODUCTION Delirium is an acute disturbance of consciousness and cognition. It is a common disorder in the intensive care unit (ICU) and associated with impaired long-term outcome. Despite its frequency and impact, delirium is poorly recognized by ICU-physicians and -nurses using delirium screening tools. A completely new approach to detect delirium is to(More)
Recognition of delirium in intensive care unit (ICU) patients is poor, despite the use of screening tools. Electroencephalography (EEG) with a limited number of electrodes and automatic processing may be a more sensitive approach for delirium monitoring. The authors conducted a systematic literature search on EEG characteristics that define delirium,(More)
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