Therapeutic Advances in the Prevention and Treatment of Delirium in the Hospital Setting

Electroencephalography based delirium screening in acute supratentorial stroke

BACKGROUND

Up to 25% of patients suffering from an acute stroke are diagnosed with delirium during the hospital stay, with older age increasing the risk. Generalized slowing in the electroencephalogram (EEG) supports the diagnosis of delirium. We examined the potential of single-channel EEG (DeltaScan®) as an easy-to-use device on intensive care units for detecting delirium. Our aim was to investigate characteristics of bihemispheric EEG recordings and single-channel EEG in patients suffering from strokes with and without delirium and to analyze the diagnostic accuracy of EEG-based diagnoses.

METHODS

Within the first five days after stroke onset, patients received single-channel EEG DeltaScan® and a routine 21-channel EEG. The DeltaScan® analyzes right sided fronto-parietal EEG using a proprietary algorithm focusing on polymorphic delta activity (PDA). In routine EEG the power spectral density (PSD) in predefined frequency bands was analyzed based on 2-minute eyes-closed resting state segments. EEG-analyses were conducted in MNE (v1.3.1) in Python (3.10) and RStudio (v4.2.1).

RESULTS

In 9 of 53 patients (52-90 years) delirium was diagnosed according to DSM-V criteria. Sensitivity of DeltaScan® was 44% (95% CI = 15.3-77.3%), while specificity was 71% (95% CI = 57-83%). We found patients with right hemispheric stroke having a higher probability to be false positive in DeltaScan® (p = 0.01). The 21-channel EEG based power analysis revealed significant differences in frontal delta and theta power between patients with and without delirium (p < 0.05).

CONCLUSIONS

When EEG is used in clinical practice to support a delirium diagnosis in stroke patients, bihemispheric recordings are likely preferable over unilateral recordings. Slowing in the delta- or theta-frequency spectrum over the site of stroke may lead to false-positive results in single channel EEG based delirium scoring.

Delirium After Traumatic Brain Injury: Prediction by Location and Size of Brain Lesion

OBJECTIVE

To examine (1) the location of brain lesion that would predict post-traumatic delirium and (2) the association between volume of brain lesion and occurrence of delirium in patients with traumatic brain injury (TBI).

METHODS

A retrospective study was conducted by reviewing medical records of 68 TBI patients, categorized into two groups: the delirious group (n=38) and non-delirious group (n=30). The location and volume of TBI were investigated with the 3D Slicer software.

RESULTS

The TBI region in the delirious group mainly involved the frontal or temporal lobe (p=0.038). All 36 delirious patients had brain injury on the right side (p=0.046). The volume of hemorrhage in the delirious group was larger by about 95 mL compared to the non-delirious group, but this difference was not statistically significant (p=0.382).

CONCLUSION

Patients with delirium after TBI had significantly different injury site and side, but not lesion size compared to patients without delirium.

Hospital practices and clinical outcomes associated with behavioral symptoms in persons with dementia

BACKGROUND

Hospitalized persons living with dementia (PLWD) often experience behavioral symptoms that challenge medical care.

OBJECTIVE

This study aimed to identify clinical practices and outcomes associated with behavioral symptoms in hospitalized PLWD.

DESIGN

A retrospective cross-sectional study.

SETTINGS AND PARTICIPANTS

The study included PLWD (65+) admitted to one of severe health system hospitals in 2019.

INTERVENTION

Behavioral symptoms were defined as the presence of (1) a psychoactive medication for behavioral symptoms; (2) an order for physical restraints or constant observation; and/or (3) physician documentation of delirium, encephalopathy, or behavioral symptoms.

MAIN OUTCOME AND MEASURES

Associations between behavioral symptoms and patient characteristics and hospital practices (e.g., bladder catheter) were examined. Multivariable logistic/linear regression was used to evaluate the association between behavioral symptoms and clinical outcomes (e.g., mortality).

RESULTS

Of hospitalized PLWD (N = 8637), the average age was 84.5 years (IQR = 79-90), 61.7% were female, 60.1% were white, and 9.4% (n = 833) were Hispanic. Behavioral symptoms were identified in 40.6% (N = 3606) of individuals. Behavioral symptoms were significantly associated with male gender (40.3% vs. 36.9%, p = .001), white race (62.7% vs. 58.3%, p < .001), and residence in a facility prior to admission (26.6% vs. 23.7%, p < .001). Regarding hospital practices, indwelling bladder catheters (11.2% vs. 6.0%, p < .001) and dietary restriction (41.9% vs. 33.8%, p < .001) were associated with behavioral symptoms. In multivariable models, behavioral symptoms were associated with increased hospital mortality (odds ratio [OR]: 1.90, CI95%: 1.57-2.29), length of stay (parameter estimate: 2.10, p < .001), 30-day readmissions (OR: 1.14, CI95%: 1.014-1.289), and decreased discharge home (OR: 0.59, CI95%: 0.53-0.65, p < .001).

CONCLUSIONS

Given the association between behavioral symptoms and poor clinical outcomes, there is an urgent need to improve the provision of care for hospitalized PLWD.

Using Telehealth to Improve the Accuracy of Delirium Screening by Bedside Critical Care Nurses

BACKGROUND

Delirium affects up to 80% of patients in the intensive care unit (ICU) but is missed in up to 75% of cases. Telehealth in the ICU (tele-ICU) has become the standard for providing timely, expert care to remotely located ICUs.

OBJECTIVES

This pilot study assessed the feasibility and acceptability of using tele-ICU to increase the accuracy of delirium screening and recognition by ICU nurses.

METHODS

The pilot sites included 4 ICUs across 3 hospitals. A geriatrician with delirium expertise remotely observed 13 bedside ICU nurses administering the Confusion Assessment Method for the ICU (CAM-ICU) to patients in real time via the tele-ICU platform and subsequently provided training on CAM-ICU performance and delirium management. Training evaluation consisted of a validated spot check form, a 2-item satisfaction/change-of-practice survey, and a qualitative question on acceptability.

RESULTS

Thirteen ICU nurses were observed performing 26 bedside delirium assessments. The top observed barriers to accurate delirium screening were CAM-ICU knowledge deficits, establishment of baseline cognition, and inappropriate use of the "unable to assess" designation. The mean percentage of correct observations improved from 40% (first observation) to 90% (second observation) (P < .001). All 13 nurses strongly agreed that the training was beneficial and practice changing.

CONCLUSIONS

The use of tele-ICU to improve the accuracy of delirium screening by ICU nurses appears to be feasible and efficient for leveraging delirium expertise across multiple ICUs. Future studies should evaluate the effects of tele-ICU delirium training on patient-centered outcomes.

Clinical practice in the management of postoperative delirium by Chinese anesthesiologists: a cross-sectional survey designed by the European Society of Anaesthesiology

OBJECTIVE

In this survey, we assessed the current clinical management of postoperative delirium (POD) among Chinese anesthesiologists, after publishing the European POD guideline.

METHODS

We administered an electronic survey, designed according to the European POD guideline. The survey was completed using mobile devices.

RESULTS

In total, 1,514 respondents from China participated in the survey. Overall, 74.4% of participants reported that delirium is very important. More than 95% of participants stated that they routinely assessed POD. In total, 61.4% screened for POD using clinical observation and 37.6% used a delirium screening tool. Although the depth of anesthesia (a POD risk factor) was monitored, electroencephalogram monitoring was unavailable to 30.6% of respondents. Regarding treatment, only 24.1% of respondents used a standard algorithm; 58.5% used individualized treatment.

CONCLUSION

Our survey showed that there are high awareness levels among Chinese anesthesiologists regarding the importance of POD. However, routine assessment and monitoring of all patients, including perioperative anesthesia depth monitoring, and a treatment algorithm need to be implemented on a larger scale. According to the results, efforts should be made to improve the knowledge of POD among Chinese anesthesiologists.

Detecting Delirium Using a Physiologic Monitor

For the past 2500 years, delirium has been described based on the presence of behavioral symptoms. Each year, as many as 1 in 5 acute care and 80% of critically ill patients develop delirium. The United States spends approximately $164 million annually to combat the associated consequences of delirium. There are no laboratory tools available to assist with diagnosis and ongoing monitoring of delirium; therefore, current national guidelines for psychiatry, geriatrics, and critical care strongly recommend routine bedside screening. Despite the significance, health care teams fail to accurately identify approximately 80% of delirium episodes.The utility of conventional electroencephalogram (EEG) in the diagnosis and monitoring of delirium has been well established. Neurochemical and the associated neuroelectrical changes occur in response to overwhelming stress before behavioral symptoms; therefore, using EEG will improve early delirium identification. Adding EEG analysis to the current routine clinical assessment significantly increases the accuracy of detection. Using newer EEG technology with a limited number of leads that is capable of processing EEG may provide a viable option by reducing the cost and need for expert interpretation. Because EEG monitoring with automatic processing has become technically feasible, it could increase delirium recognition. Electroencephalogram monitoring may also provide identification before symptom onset when nursing interventions would be more effective, likely reducing the long-term ramifications. Having an objective method that nurses can easily use to detect delirium could change the standard of care and provide earlier identification.

Music intervention to prevent delirium among older patients admitted to a trauma intensive care unit and a trauma orthopaedic unit

PURPOSE

Evaluate music listening for delirium prevention among patients admitted to a Trauma Intensive Care and Trauma Orthopaedic Unit. The Roy Adaptation Model provided the theoretical framework focusing on modifying contextual stimuli.

METHODS

Randomised controlled trial, 40 patients aged 55 and older.

INTERVENTION

Participants randomly assigned to receive music listening or usual care for 60 minutes, twice a day, over three days. Pre-recorded self-selected music using an iPod and headsets, with slow tempo, low pitch and simple repetitive rhythms to alter physiologic responses.

OUTCOMES

Heart rate, respiratory rate, systolic and diastolic blood pressure, confusion assessment method.

RESULTS

Repeated measures ANOVA, F(4, 134) = 4.75, p = .001, suggested statistically significant differences in heart rate pre/post music listening, and F(1, 37) = 10.44, p = .003 in systolic blood pressure pre/post music listening. Post-hoc analysis reported changes at three time periods of statistical significance; (p = .010), (p = .005) and (p = .039) and a change in systolic blood pressure pre/post music listening; (p = .001) of statistical significance. All participants screened negative for delirium.

CONCLUSION

Music addresses pathophysiologic mechanisms that contribute to delirium; neurotransmitter imbalance, inflammation and acute physiologic stressors. Music to prevent delirium is one of few that provide support in a critical care setting.