Delirium in the intensive care setting dependent on the Richmond Agitation and Sedation Scale (RASS): Inattention and visuo-spatial impairment as potential screening domains.

OBJECTIVE: In the intensive care setting, delirium is a common occurrence; however, the impact of the level of alertness has never been evaluated. Therefore, this study aimed to assess the delirium characteristics in the drowsy, as well as the alert and calm patient. METHOD: In this prospective cohort study, 225 intensive care patients with Richmond Agitation and Sedation Scale (RASS) scores of -1 - drowsy and 0 - alert and calm were evaluated with the Delirium Rating Scale-Revised-1998 (DRS-R-98) and the Diagnostic and Statistical Manual 4th edition text revision (DSM-IV-TR)-determined diagnosis of delirium. RESULTS: In total, 85 drowsy and 140 alert and calm patients were included. Crucial items for the correct identification of delirium were sleep-wake cycle disturbances, language abnormalities, thought process alterations, psychomotor retardation, disorientation, inattention, short- and long-term memory, as well as visuo-spatial impairment, and the temporal onset. Conversely, perceptual disturbances, delusions, affective lability, psychomotor agitation, or fluctuations were items, which identified delirium less correctly. Further, the severities of inattentiveness and visuo-spatial impairment were indicative of delirium in both alert- or calmness and drowsiness. SIGNIFICANCE OF RESULTS: The impairment in the cognitive domain, psychomotor retardation, and sleep-wake cycle disturbances correctly identified delirium irrespective of the level alertness. Further, inattentiveness and - to a lesser degree - visuo-spatial impairment could represent a specific marker for delirium in the intensive care setting meriting further evaluation.

Screening for delirium with the Intensive Care Delirium Screening Checklist (ICDSC): Symptom profile and utility of individual items in the identification of delirium dependent on the level of sedation.

OBJECTIVE: The importance of the proper identification of delirium, with its high incidence and adversities in the intensive care setting, has been widely recognized. One common screening instrument is the Intensive Care Delirium Screening Checklist (ICDSC); however, the symptom profile and key features of delirium dependent on the level of sedation have not yet been evaluated. METHOD: In this prospective cohort study, the ICDSC was evaluated versus the Diagnostic and Statistical Manual, 4th edition, text revision, diagnosis of delirium set as standard with respect to the symptom profile, and correct identification of delirium. The aim of this study was to identify key features of delirium in the intensive care setting dependent on the Richmond Agitation and Sedation Scale levels of sedation: drowsiness versus alert and calmness.ResultThe 88 delirious patients of 225 were older, had more severe disease, and prolonged hospitalization. Irrespective of the level of sedation, delirium was correctly classified by items related to inattention, disorientation, psychomotor alterations, inappropriate speech or mood, and symptom fluctuation. In the drowsy patients, inattention reached substantial sensitivity and specificity, whereas psychomotor alterations and sleep-wake cycle disturbances were sensitive lacked specificity. The positive prediction was substantial across items, whereas the negative prediction was only moderate. In the alert and calm patient, the sensitivities were substantial for psychomotor alterations, sleep-wake cycle disturbances, and symptom fluctuations; however, these fluctuations were not specific. The positive prediction was moderate and the negative prediction substantial. Between the nondelirious drowsy and alert, the symptom profile was similar; however, drowsiness was associated with alterations in consciousness.Significance of resultsIn the clinical routine, irrespective of the level of sedation, delirium was characterized by the ICDSC items for inattention, disorientation, psychomotor alterations, inappropriate speech or mood and symptom fluctuation. Further, drowsiness caused altered levels of consciousness.

Screening for delirium with the Intensive Care Delirium Screening Checklist (ICDSC): a re-evaluation of the threshold for delirium.

BACKGROUND: With its high incidence and subsequent adverse consequences in the intensive care setting, several instruments have been developed to screen for and detect delirium. One of the more commonly used is the Intensive Care Delirium Screening Checklist (ICDSC); however, the optimal cut-off score indicating delirium has been debated. METHODS: In this prospective cohort study, the ICDSC threshold for delirium set at ≥3, ≥4, or ≥5 was compared with the DSM-IV-TR-determined diagnosis of delirium (used as standard), and with the Confusion Assessment Method for the ICU (CAM-ICU), with respect to their concurrent validity. RESULTS: In total, 289 patients were assessed, including 122 with delirium. The cut-off score of ≥4 had several shortcomings: although 90% of patients with delirium were correctly classified, 23% remained undetected. The agreement with the DSM-IV-TR diagnosis of delirium was only moderate (Cohen's κ 0.59) and the sensitivity was only 62%. In contrast, when the cut-off was ≥3, 83% of patients with delirium were correctly classified and only 14.5% remained undetected. The agreement with DSM-IV-TR was substantial (Cohen's κ 0.68) and the sensitivity increased to 83%. The benefit of setting the cut-off at ≥5 was not convincing: although 90% of patients with delirium were correctly classified, 30% remained undetected. The concurrent validity was only moderate (Cohen's κ 0.44), and the sensitivity reached only 44%. Changing the ICDSC cut-off score did not strengthen the moderate agreement with the CAM-ICU (Cohen's κ 0.45-0.56). CONCLUSION: In clinical routine, decreasing the ICDSC threshold for delirium to ≥3 increased the accuracy in detecting delirium at the cost of over-identification and is therefore recommended as the optimal threshold. Increasing the cut-off score to ≥5 decreased the concurrent validity and sensitivity; in addition, the under-detection of delirium was substantial.

Are preoperative sex-related differences of affective symptoms in primary brain tumor patients associated with postoperative histopathological grading?

Our objective was to explore the impact of the histopathological tumor type on affective symptoms before surgery among male and female patients with supratentorial primary brain tumors. A total of 44 adult patients were included in the study. Depression and anxiety were measured using the Beck Depression Inventory (BDI) and the State-Trait Anxiety Inventory. Additionally, clinical interviews, including the Hamilton Depression Rating Scale (HDRS), were conducted. The general function of patients was measured with the Karnofsky Performance Status scale (KPS). All measures were obtained before surgery and therefore before the final histopathological diagnosis. All self-rating questionnaires but not the HDRS, showed significantly higher scores in female patients. The functional status assessed with the KPS was lower in female patients and correlated to the somatic part of the BDI. We further found a tendency for higher HDRS scores in male patients with a WHO grade 4 tumor stage compared to female patients. This finding was supported by positive correlations between HDRS scores and WHO grade in male and negative correlations between HDRS scores and WHO grade in female patients. In conclusion the preoperative evaluation of affective symptoms with self-rating questionnaires in patients with brain tumors may be invalidated by the patient's functional status. Depression should be explored with clinical interviews in these patients. Sex differences of affective symptoms in this patient group may also be related to the malignancy of the tumor, but further studies are needed to disentangle this relationship.

Affective Symptoms and White Matter Changes in Brain Tumor Patients.

BACKGROUND: Affective symptoms are frequent in patients with brain tumors. The origin of such symptoms is unknown; either focal brain injury or reactive emotional distress may be responsible. This cross-sectional pilot study linked depressive symptoms and anxiety to white matter integrity. The objective was to test the hypothesis of a relationship between tissue damage and brain function in patients with brain tumors and to provide a basis for further studies in this field. METHODS: Diffusion tensor imaging was performed in 39 patients with newly diagnosed supratentorial primary brain tumor. Patients completed the Beck Depression Inventory, and examiners rated them on the Hamilton Depression Rating Scale (HDRS). State and trait anxiety were measured using the State-Trait Anxiety Inventory. Correlations between fractional anisotropy (FA) and psychological measures were assessed on the basis of regions of interest; the defined regions of interest corresponded to clearly specified white matter tracts. RESULTS: Statistical analysis revealed correlations between FA in the left internal capsule and scores on the HDRS, Beck Depression Inventory, and State-Trait Anxiety Inventory (P < 0.05). HDRS scores were also correlated with FA in the right medial uncinate fasciculus, and state anxiety scores were significantly correlated with FA in the left lateral and medial uncinate fasciculus (P < 0.05). CONCLUSIONS: Our results suggest that neurobiologic mechanisms related to the integrity of tissue in specific white matter tracts may influence affective symptoms in patients with brain tumors, and these mechanisms can be investigated with diffusion tensor imaging. However, prospective observational studies are needed to investigate further the links between brain structures and the severity of affective symptoms in this patient population.

Lorazepam modulates orbitofrontal signal changes during emotional processing in catatonia.

OBJECTIVE: Catatonia is a psychomotor syndrome characterized by concomitant emotional, behavioural and motor symptoms. In many cases clinical symptoms disappear almost immediately with administration of lorazepam, which acts on GABA(A) receptors. METHODS: Using functional magnetic resonance imaging (fMRI) we investigated prefrontal activation patterns during emotion processing in catatonic patients with and without lorazepam in a double-blind study design. For emotional stimulation the International Affective Picture System (IAPS) was used. BOLD-signals were determined using regions of interest (ROI) and were statistically compared between groups. RESULTS: For negative emotional pictures lorazepam induced higher signal decreases in the orbitofrontal cortex (OFC) in catatonic patients than in healthy subjects resulting in a regularization of activity patterns comparable to healthy subjects with placebo. CONCLUSIONS: Results indicate disturbances in the functioning of OFC in catatonia. GABAergic modified emotion regulation with decreased inhibition of affective stimuli could lead to the intense emotions reported by many catatonic patients.