Single-channel amplitude integrated EEG recording for the identification of epileptic seizures by nonexpert physicians in the adult acute care setting.

OBJECTIVE: Although several studies have shown the potential of amplitude integrated electroencephalography (aEEG) in detecting neonatal seizures, no publications have evaluated the diagnostic use of aEEG for the detection of seizures in adult patients. METHODS: In this prospective blinded observational study, bifrontal single-channel electroencephalography (EEG) recordings were performed with a portable EEG monitor (CSM M3 ICU, Danmeter-Goalwick Holdings Limited, Odense, Denmark) during the out-of-hospital care of emergency cases. Four intensive care unit (ICU) physicians received training in the interpretation of aEEG recordings. After the training they evaluated the stored aEEG traces for the presence of epileptic seizure activity during the recording time. The physicians were blinded to the clinical data of the patients. The results obtained were compared with the clinical diagnosis and the evaluation of the raw EEG signal. The level of interrater agreement was quantified using Fleiss' ĸ. RESULTS: The aEEG traces from 10 patients with generalized epileptic seizures and 46 patients without seizures were analysed. Overall, the nonexpert ICU physicians failed to identify recordings obtained from patients with seizures reliably, when compared with clinical diagnosis and the single-channel EEG results (mean sensitivity 40%, range 40-60%; mean specificity 89%, range 87-93%). Agreement between observers was high for the cases with seizures ( ĸ = 0.80 ± 0.13). Patients who suffered status epilepticus during the recordings were difficult to identify by most raters. CONCLUSION: Recording of aEEG without access to the raw EEG data is not a reliable diagnostic tool for the identification of epileptic seizures in the hands of nonexpert ICU physicians.

Comparison of the confusion assessment method for the intensive care unit (CAM-ICU) with the Intensive Care Delirium Screening Checklist (ICDSC) for delirium in critical care patients gives high agreement rate(s).

OBJECTIVE: In the intensive care unit (ICU) we assessed the agreement between the delirium ratings of two independent delirium assessment methods: (a) the Confusion Assessment method for the ICU (CAM-ICU); and (b) the Intensive Care Delirium Screening Checklist (ICDSC). DESIGN: Prospective, descriptive cohort study. SETTING AND PATIENTS: During a 6-month period, 174 patients (mean age 62.4+/-13.0 years) admitted to the ICU after elective surgery or after an emergency were included and assessed with both delirium assessment systems by two trained independent investigators (research person and bedside nurses) during their ICU stay or for up to 7 days after ICU admission. INTERVENTIONS: Patients' clinical characteristics at ICU admission day were documented. MEASUREMENTS AND RESULTS: After excluding permanently unconscious patients with

Significant correlation between plasma and CSF anticholinergic activity in presurgical patients.

Previous studies have suggested a possible link between cognitive impairment and anticholinergic burden as reflected by high serum anticholinergic activity (SAA). Thus, we hypothesized a close relationship between anticholinergic activity in cerebral spinal fluid (CSF) and blood. However, it has never been convincingly demonstrated that peripheral anticholinergic activity correlates with central anticholinergic levels in presurgical patients. Therefore, anticholinergic activity was measured in blood and CSF from 15 patients with admission scheduled for urological surgery to compare peripheral and central anticholinergic level. Blood and CSF probes were taken after routine premedication and before spinal anesthesia. Anticholinergic activity was determined by competitive radioreceptor binding assay for muscarinergic receptors. Correlation analysis was conducted for peripheral and central anticholinergic levels. The mean anticholinergic levels were 2.4+/-1.7 in the patients' blood and 5.9+/-2.1 pmol/mL of atropine equivalents in CSF. Interestingly, the anticholinergic activity in CSF was about 2.5-fold higher than in patients' blood. A significant linear correlation was detected between blood and CSF levels. Therefore we conclude that SAA levels adequately reflect central anticholinergic activity. When patients receiving or not receiving anticholinergic medication were compared, anticholinergic activity tended to increase in blood and CSF after receiving anticholinergic medication > or =4 weeks (p>0.05).