Obsessions in normality and psychopathology

This study examines the presence of obsessions in the general population and in various psychiatric disorders. Second, the impact of obsessions is studied in terms of general functioning and quality of life in the general population. Data were derived from the Netherlands Mental Health Survey and Incidence Study (NEMESIS), a large representative sample of the Dutch population (n = 7,076). Diagnostic criteria were assessed by the Composite International Diagnostic Interview (CIDI). The association of quality of life and obsessions on each subject was assessed by using Short Form 36 Health Survey (SF-36) and General Health Questionnaire (GHQ). Obsessions occurred frequently in the general population: the lifetime prevalence of obsessions was 5.3% and the 12-month prevalence was 1.7%. Subjects with obsessions scored significantly worse (P <.0001) on all eight dimensions of the SF-36 as well as on the GHQ. When controlling for the presence of any mental disorder, the negative association of obsessions and low general health and well-being remained significantly intact. In patients with a psychiatric disorder, obsessions had a lifetime prevalence of 10.3% and a 12-month prevalence of 6.8%. Obsessions are common phenomena in the general population and are associated with decreased functioning in several areas of health and well-being. Furthermore, they occur frequently in the presence of various psychiatric disorders. Obsessions should be perceived, similar to delusions, as a distinct dimension across psychiatric disorders rather than a mere symptom of OC

Delirium detection using relative delta power based on 1 minute single-channel EEG : a multicentre study

Background: Delirium is frequently unrecognised. EEG shows slower frequencies (i.e. below 4 Hz) during delirium, which might be useful in improving delirium recognition. We studied the discriminative performance of a brief single-channel EEG recording for delirium detection in an independent cohort of patients. Methods: In this prospective, multicentre study, postoperative patients aged ≥60 yr were included (n=159). Before operation and during the first 3 postoperative days, patients underwent a 5-min EEG recording, followed by a video-recorded standardised cognitive assessment. Two or, in case of disagreement, three delirium experts classified each postoperative day based on the video and chart review. Relative delta power (1–4 Hz) was based on 1-min artifact-free EEG. The diagnostic value of the relative delta power was evaluated by the area under the receiver operating characteristic curve (AUROC), using the expert classification as the gold standard. Results: Experts classified 84 (23.3%) postoperative days as either delirium or possible delirium, and 276 (76.7%) non-delirium days. The AUROC of the relative EEG delta power was 0.75 [95% confidence interval (CI) 0.69–0.82]. Exploratory analysis showed that relative power from 1 to 6 Hz had significantly higher AUROC (0.78, 95% CI 0.72–0.84, P=0.014). Conclusions: Delirium/possible delirium can be detected in older postoperative patients based on a single-channel EEG recording that can be automatically analysed. This objective detection method with a continuous scale instead of a dichotomised outcome is a promising approach for routine detection of delirium. Clinical trial registration: NCT02404181

Delirium detection using relative delta power based on 1 minute single-channel EEG : a multicentre study

Background: Delirium is frequently unrecognised. EEG shows slower frequencies (i.e. below 4 Hz) during delirium, which might be useful in improving delirium recognition. We studied the discriminative performance of a brief single-channel EEG recording for delirium detection in an independent cohort of patients. Methods: In this prospective, multicentre study, postoperative patients aged ≥60 yr were included (n=159). Before operation and during the first 3 postoperative days, patients underwent a 5-min EEG recording, followed by a video-recorded standardised cognitive assessment. Two or, in case of disagreement, three delirium experts classified each postoperative day based on the video and chart review. Relative delta power (1–4 Hz) was based on 1-min artifact-free EEG. The diagnostic value of the relative delta power was evaluated by the area under the receiver operating characteristic curve (AUROC), using the expert classification as the gold standard. Results: Experts classified 84 (23.3%) postoperative days as either delirium or possible delirium, and 276 (76.7%) non-delirium days. The AUROC of the relative EEG delta power was 0.75 [95% confidence interval (CI) 0.69–0.82]. Exploratory analysis showed that relative power from 1 to 6 Hz had significantly higher AUROC (0.78, 95% CI 0.72–0.84, P=0.014). Conclusions: Delirium/possible delirium can be detected in older postoperative patients based on a single-channel EEG recording that can be automatically analysed. This objective detection method with a continuous scale instead of a dichotomised outcome is a promising approach for routine detection of delirium. Clinical trial registration: NCT02404181