Recognition Of Delirium Research Articles

Approach To: Delirium

Delirium is a common and serious geriatric syndrome with core features of acute onset and inattention. It is often underdiagnosed and is associated with many adverse outcomes, such as prolonged hospitalization, institutionalization, functional impairment and death. This review summarizes an approach to the recognition, work-up, management and prevention of delirium.

Torsade de pointes caused by citalopram during the pacemaker battery‐depletion phase: A case report

Drug‐induced QT prolongation, primarily antiarrhythmic drugs, is a common cause of torsade de pointes (TdP). Although there have been previous reports of drug‐induced TdP in patients, it has not been well documented when caused by citalopram during the pacemaker battery‐depletion phase. To improve delirium recognition, we report a case of citalopram‐induced TdP during the pacemaker battery‐depletion phase. An 84‐year‐old Chinese female was brought to the hospital presenting recurrent syncope. She lost consciousness and was admitted after her syncope TdP was documented. Her pacemaker was inspected and found to be operating in an extremely ineffective manner. Although she had prolonged QT interval after the pacemaker was replaced, she did not suffer another syncope attack, and ECG monitoring revealed no cardiac arrhythmia or TdP. During her admission, she was treated with citalopram for depression. Citalopram was discontinued when the QT interval shortened progressively. In this study, we described a case of citalopram‐induced TdP during the depletion phase of a pacemaker battery. This case should serve as a cautionary lesson to clinicians to avoid using citalopram during the pacemaker battery‐depletion phase.

Detection of delirium by family members in the intensive care unit: Translation, Cross-Cultural adaptation and validation of the Family Confusion Assessment Method for the German-Speaking area.

The aim of this study was the translation, cross-cultural adaptation and validation of the Family Confusion Assessment Method in critically ill patients. Delirium is a frequently unrecognized disorder in critically ill patients. Visiting family members might be the first to notice subtle changes in a patient's cognition and behaviour. The Family Confusion Assessment Method was developed to detect delirium by family members, but has not been available for the German-speaking area yet. A prospective validation study was conducted between January 2020 and October 2020. The Family Confusion Assessment Method was translated into German according to the Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes. Subsequently, we compared the Family Confusion Assessment Method with the Confusion Assessment Method for the Intensive Care Unit in critically ill patients and their family members in a medical intensive care unit in Germany. We included 50 dyads of critically ill patients and their family members. The prevalence of delirium measured by Confusion Assessment Method for the Intensive Care Unit was 44%. Cohen's kappa coefficient was 0.84. The German Family Confusion Assessment Method had a high sensitivity of 95.5% and specificity of 89.3%. The positive predictive value and negative predictive value were 87.5% and 96.2% respectively. These findings suggest that the German Family Confusion Assessment Method is an accurate assessment tool for delirium detection in the intensive care unit by family members. Furthermore, the results indicate that family members may identify delirium by the Family Confusion Assessment Method without prior training. Collaborating medical staff with patients' family members to detect delirium in the intensive care unit may lead to early recognition of delirium.

798 SPOT DELIRIUM - IMPROVING DELIRIUM AWARENESS AND ASSESSMENT USING ELECTRONIC 4AT

Abstract Introduction Delirium is a common medical emergency which is associated with adverse outcomes but often unrecognised in up to two thirds of patients in the acute care setting. The 4AT is a sensitive and rapid assessment tool that can be applied to assess for delirium in clinical practice. Method An initial audit into the use of delirium diagnostic assessment scores on an Acute Medical Assessment Unit (AAU) was carried out. Medical notes were reviewed of patients over 75 years (n = 42) admitted over a 6 week period. A re-audit was undertaken following an educational induction session for junior doctors about delirium and 4AT (n = 42). Results Initially 14% of patients with documented acute confusion (n = 2) had a 4AT assessment completed. 2 patients were recognised to be at risk of delirium but did not have a 4AT. A diagnosis of dementia was documented for 28% (n = 12) of patients however only one had a 4AT. An educational session about delirium and how to complete the electronic 4AT assessment was organised for junior doctors on AAU. Before teaching, survey results showed no participants were familiar with the 4AT screening tool. Following the session all participants indicated knowing where to locate the electronic 4AT and reported improved confidence in recognising delirium. On re-audit 14 patients had documented confusion but 4AT assessment completion increased to 79%. For those identified as being at risk of delirium or having previous delirium 90% had a 4AT completed. All patients with a dementia had an AMTS and 89% also had a 4AT. Conclusion There was an improvement in documentation of both 4AT and AMTS forms following engagement in education and use of an electronic assessment tool to diagnose delirium. Future recommendations include interdisciplinary induction sessions to target a wider audience to improve awareness and recognition of delirium in acute care.

675 IMPROVING RECOGNITION OF DELIRIUM IN CRITICAL CARE PATIENTS

Abstract Introduction Delirium is more prevalent in patients admitted to the critical care environment, those over 65 years old and living with frailty. By increasing the recognition of delirium we can improve management of patients and therefore reduce associated morbidity. Initial audit of this patient group highlighted that we are missing opportunities to screen for, diagnose and document the presence of delirium. This Quality Improvement project aimed to improve delirium screening, and therefore recognition, on the critical care unit at The Royal Bolton Hospital. Method A retrospective analysis of patients aged ≥65 years or with a CFS ≥5 admitted to critical care at The Royal Bolton Hospital over a 2-week period for each PDSA cycle. Three cycles were undertaken. The initial intervention was a local teaching session for medical and nursing staff on critical care. The second intervention was to display delirium information posters throughout critical care which encouraged recognition and screening of delirium. Results Prior to intervention 9% of this patient group were assessed for delirium on admission to critical care and 55% were re-assessed at some point during their admission. After the initial intervention these numbers significantly improved to 33% and 80% respectively. After the second intervention 8% were screened on admission and 69% were re-assessed. Missed opportunities to document delirium as a diagnosis remained similar throughout all cycles. Conclusion We can improve delirium screening via regular educational sessions for medical and nursing staff on critical care. Information posters do not appear to have as much impact. There is scope to improve documentation of delirium as a diagnosis which would further aid in management and outcomes. We suggest a further PDSA cycle with an intervention to address this.

Massachusetts Intensive Care Unit Nurses From Multiple Hospitals Develop a Collaborative to Improve Delirium Assessment Accuracy.

Early recognition of delirium mobilizes nurses to intervene in a timely manner to minimize cognitive, physical, and mental health burdens. The life-altering challenges of unrecognized delirium in intensive care unit (ICU) patients motivated a group of Massachusetts ICU nurse leaders to form a collaborative and improve delirium screening accuracy in 4 area hospitals. Baseline audits confirmed a lack of delirium screening accuracy across multiple institutions. The purpose of this article is to describe how our collaborative was developed and to outline our delirium accuracy assessment program. In March of 2015, 2 graduates from the Clinical Scene Investigator Academy contacted members within the Boston cohort to form a regional collaborative to improve patient outcomes. The purpose of our project was to improve our delirium assessment accuracy to greater than 80% in patients across our ICUs. Using a successful project, we scaled this work based on the needs of each institution. A preaudit-postaudit design was used to evaluate the effectiveness of our programs. Data showed an improved overall accuracy assessment of 88.3% (P < .01), whereas the patients with an altered Richmond Agitation Sedation Scale markedly improved to 87.7% (P < .01). Every ICU in the United States is working on improving reportable quality metrics, but all too often, this work is being done in silos. When critical care nurses have the knowledge, skills, and time to work together, they can begin to transform health care.

Nurses' Knowledge about Delirium in the Group of Intensive Care Units Patients.

Background: Intensive Care Unit (ICU) delirium is a nonspecific, potentially preventable, and often reversible disorder of impaired cognition, which results from various causes in ICU patients. For appropriate management of delirium, early identification and risk factor assessment are key factors. Multidisciplinary collaboration and standardized care can enhance the recognition of delirium. Design: In this study, authors used the exploratory and descriptive study method. Method: The study was conducted in a group of 45 nurses of the cardiac intensive care unit. The department has 16 intensive care stations and is intended for patients after cardiac surgery who require intensive care in the postoperative period. Results: During the analysis the interviews, five Collective Subject Discourses were distinguished: signs and symptoms, physical restraint, use of sedatives, environment, and lack of education. Conclusion: Nurses have no knowledge of the factors contributing to the development of delirium, are unable to communicate with such patients and, most of all, do not know the consequences of the actions taken.

Implementation of a Delirium Bundle for Pediatric Intensive Care Patients.

Background and ObjectiveDelirium represents the most common form of acute cerebral dysfunction in critical illness. The prevention, recognition, and treatment of delirium must become the focus of modern pediatric intensive care, as delirium can lead to increased morbidity and mortality. The aim of this study is to evaluate the impact of a delirium bundle consisting of mainly non-pharmacological measures.Material and MethodsThis is a pre-/post-implementation study in an interdisciplinary pediatric intensive care unit of a tertiary care university hospital. In the pre-implementation period, pediatric intensive care delirium was monitored using the Sophia Observation withdrawal Symptoms and Pediatric Delirium scale. After introduction of a delirium bundle consisting of non-pharmacological prevention and treatment measures a period of 4 months was interposed to train the PICU staff and ensure that the delirium bundle was implemented consistently before evaluating the effects in the post-implementation period. Data collection included prevalence of delirium and withdrawal, length of PICU stay, duration of mechanical ventilation, and cumulative dose of sedatives and analgesics.ResultsA total of 792 critically ill children aged 0–18 years were included in this study. An overall delirium prevalence of 30% was recorded in the pre-implementation group and 26% in the post-implementation group (p = 0.13). A significant reduction in the prevalence of pediatric delirium from was achieved in the subgroup of patients under 5 years of age (27.9 vs. 35.8%, p = 0.04) and in patients after surgery for congenital heart disease (28.2 vs. 39.5%, p = 0.04). Young age, length of PICU stay, and iatrogenic withdrawal syndrome were found to be risk factors for developing delirium.ConclusionsBased on a validated delirium monitoring, our study gives new information regarding the prevalence of pediatric delirium and the characteristics of intensive care patients at risk for this significant complication. Especially young patients and patients after surgery for congenital heart disease seem to benefit from the implementation of non-pharmacological delirium bundles. Based on our findings, it is important to promote change in pediatric intensive care—toward a comprehensive approach to prevent delirium in critically ill children as best as possible.

Prevalence, management and outcomes of unrecognized delirium in a National Sample of 1,493 older emergency department patients: how many were sent home and what happened to them?

Retrospective studies estimate Emergency Department (ED) delirium recognition at <20%; few prospective studies have assessed delirium recognition and outcomes for patients with unrecognized delirium. To prospectively measure delirium recognition by ED nurses and physicians, document their confidence in diagnosis and disposition, actual dispositions, and patient outcomes. Prospective observational study of people ≥65years. We assessed delirium using the Confusion Assessment Method, then asked ED staff if the patient had delirium, confidence in their assessment, if the patient could be discharged, and contacted patients 1week postdischarge. We report proportions and 95% confidence intervals (Cls). We enrolled 1,493 participants; mean age was 77.9years; 49.2% were female, 79 (5.3%, 95% CI 4.2-6.5%) had delirium. ED nurses missed delirium in 43/78 cases (55.1%, 95% CI 43.4-66.4%). Nurses considered 12/43 (27.9%) patients with unrecognized delirium safe to discharge. Median confidence in their delirium diagnosis for patients with unrecognized delirium was 7.0/10. Physicians missed delirium in 10/20 (50.0%, 95% CI 27.2-72.8) cases and considered 2/10 (20.0%) safe to discharge. Median confidence in their delirium diagnosis for patients with unrecognized delirium was 8.0/10. Fifteen patients with unrecognized delirium were sent home: 6.7% died at 1week follow-up vs. none in those with recognized delirium and 1.1% in the rest of the cohort. Delirium recognition by nurses and physicians was sub-optimal at ~50% and may be associated with increased mortality. Research should explore root causes of unrecognized delirium, and novel strategies to systematically improve delirium recognition and patient outcomes.

Improving delirium screening and recognition in UK hospitals: results of a multi-centre quality improvement project.

Backgrounddelirium is an acute severe neuropsychiatric condition associated with adverse outcomes, particularly in older adults. However, it is frequently under-recognised.Methodsthis multi-centre quality improvement project utilised a collaborative approach to implementation of changes at sites, with the aim to improve delirium screening, recognition and documentation on discharge summaries. Resources, including delirium guidelines and presentations, were shared between sites, and broad details of local interventions were collected. Three timepoints of data collection (14 March 2018, 14 September 2018 and 13 March 2019) were conducted to assess screening, recognition and documentation of delirium in unscheduled admissions of adults aged ≥65 years old. The impact of local interventions and site-specific factors was assessed using logistic regression analysis, adjusting for patient factors.Resultsa total of 3,013 patients (mean age 80.2, 53.8% females) were recruited across the three timepoints. Screening for delirium was associated with increased odds of recognition (aOR 4.75, CI 2.98–7.56; P < 0.001); this was not affected by grade/profession of screener. Rates of screening, recognition and discharge documentation improved across the three timepoints of data collection. The presence of a local delirium specialist team was associated with increased rates of screening for delirium (aOR 1.75, CI 1.41–2.18; P < 0.001), and the presence of a geriatric medicine team embedded into the admissions unit was associated with increased recognition rates (aOR 1.78, CI 1.09–2.92; P = 0.022).Conclusiondelirium screening is associated with improved recognition. Interventions that strive to improve screening within a culture of delirium awareness are encouraged.

Clinical Significance of Delirium With Catatonic Signs in Patients With Neurological Disorders.

According to DSM-5, catatonia and delirium are mutually exclusive clinical syndromes. The investigators explored the co-occurrence of delirium and catatonia (i.e., catatonic delirium) and the clinical significance of this syndrome with a sample of neurological patients. This prospective study with consecutive sampling included patients diagnosed with delirium at the National Institute of Neurology and Neurosurgery of Mexico. DSM-5 criteria for delirium, the Confusion Assessment Method, and the Delirium Rating Scale-Revised-98 were used to select and characterize patients. Catatonia was assessed using the Bush-Francis Catatonia Rating Scale and DSM-5 diagnostic criteria. Logistic regression analysis was performed to identify etiological factors associated with catatonic delirium. A total of 264 patients with delirium were included, 61 (23%) of whom fulfilled the criteria for catatonia and delirium simultaneously. Brain tumors, subarachnoid hemorrhage, acute hydrocephalus, and ischemic stroke were associated with delirium without catatonic signs. Catatonic delirium was observed among patients with encephalitis, epilepsy, brain neoplasms, and brain tuberculosis. After multivariate analysis, the association between catatonic delirium and encephalitis (both viral and anti-N-methyl-d-aspartate receptor [NMDAR]) was confirmed. Delirium is a common complication of neurological diseases, and it can coexist with catatonia. The recognition of catatonic delirium has clinical significance in terms of etiology, as it was significantly associated with viral and anti-NMDAR encephalitis.

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

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

Motor Behavior Changes Are Predictive of Acute Events in Skilled Nursing

Background: Common acute medical conditions among older adults with dementia in skilled nursing include falls, delirium, and pneumonia. This study utilized a sensor technology to examine how motor behaviors may predict these acute events. Methods: Radio frequency identification (RFID) technology continuously measured time and distance travelled, gait speed, and continuous walking with little/no breaks (paths) across 3 long-term facilities for up to 1 year (N=51). Change point analysis estimates the probability of whether a sudden change occurred and provides the location of the change point (in days prior to the event) in a time series model. Results: Gait speed had very low probability to detect a change point across all events (22 falls, 10 delirium and 8 pneumonia). Sensitivity estimates ranged from 63% (number of paths) to 90% (distance travelled) for a fall; 37.5% (number of paths) to 100% (rest of the motor behaviors) for pneumonia. Except for gait speed, all other motor behaviors had high probability (100%) to detect a delirium change point. There was intra-individual variability in the location of the change points (mean of 10 days). Linear regression models for time and distance travelled using baseline predictors of age, ethnicity, gait and balance explained 89% and 90% of the variance in change point locations. Conclusions: Prior to an acute event there is a significant change in motor behavior, suggesting these are an early signal that may be used to prevent a fall or provide for the earlier recognition and treatment of delirium and pneumonia.

REcognizing DElirium in geriatric Emergency Medicine: The REDEEM risk stratification score.

The objective was to derive a risk score that uses variables available early during the emergency department (ED) encounter to identify high-risk geriatric patients who may benefit from delirium screening. This was an observational study of older adults age≥75years who presented to an academic ED and who were screened for delirium during their ED visit. Variable selection from candidate predictors was performed through a LASSO-penalized logistic regression. A risk score was derived from the final prediction model, and predictive accuracy characteristics were calculated with 95% confidence intervals (CIs). From the 967 eligible ED visits, delirium was detected in 107 (11.1%). The area under the curve for the REcognizing DElirium in Emergency Medicine (REDEEM) score was 0.901 (95% CI=0.864-0.938). The REEDEM risk score included 10 different variables (seven based on triage information and three obtained during early history taking) with a score ranging from -3 to 66. Using an optimal cutoff of ≥11, we found a sensitivity of 84.1% (90 of 107 ED delirium patients, 95% CI=75.5%-90.2%) and a specificity of 86.6% (745 of 860 non-ED delirium patients, 95% CI=84.1%-88.8%). A lower cutoff of ≥5 was found to minimize false negatives with an improved sensitivity at 91.6% (98 of 107 ED delirium patients, 95% CI=84.2%-95.8%). A risk stratification score was derived with the potential to augment delirium recognition in geriatric ED patients. This has the potential to assist on delirium-targeted screening of high-risk patients in the ED. Validation of REDEEM, however, is needed prior to implementation.

Opioid and benzodiazepine use in the emergency department and the recognition of delirium within the first 24 hours of hospitalization

ObjectiveDelirium is a common and serious brain dysfunction. The objective of our study was to test the hypothesis that opioids and benzodiazepines exposure in the emergency department (ED) is associated with delirium. MethodsThis was a retrospective cohort study, including patients aged 65 years and older who were hospitalized from ED at an academic medical center from 2014 to 2017. Medication administration records were used to identify opioids and benzodiazepines given during the ED stay. Nurses used the Delirium Observation Screening Scale (DOSS) twice daily to assess delirium during hospitalization. The outcome was a positive DOSS within 1 day of ED encounter. We used logistic regression to predict the outcome of positive delirium screening by opioids and benzodiazepines. ResultsA total of 7927 ED encounters that resulted in hospitalization were included in the analysis. We identified 2008 visits (25.3%) with a positive delirium screen. A total of 3304 (41.7%) received opioids, and 1801 (22.7%) received benzodiazepines. In this cohort, opioids were not associated with an increased odds of delirium (OR 1.00, 95% CI 0.87–1.15). Benzodiazepines were associated with increased odds of delirium (OR 1.37, 95% CI 1.13–1.65), as were benzodiazepines combined with opioids (OR 1.61, 95% CI 1.33–1.97). ConclusionIn this study, the use of benzodiazepines was associated with a risk of delirium. The use of opioids did not increase the risk of delirium. Our findings imply that judicious pain management with opioids in the ED might not increase the risk of delirium.

Evaluating older adults with cognitive dysfunction: A qualitative study with emergency clinicians.

Evaluating older adults with cognitive dysfunction in emergency departments (EDs) requires obtaining collateral information from sources other than the patient. Understanding the challenges emergency clinicians face in obtaining collateral information can inform development of interventions to improve geriatric emergency care and, more specifically, detection of ED delirium. The objective was to understand emergency clinicians' experiences obtaining collateral information on older adults with cognitive dysfunction, both before and during the COVID-19 pandemic. From February to May 2021, we conducted semi-structured interviews with a purposive sample of 22 emergency physicians and advanced practice providers from two urban academic hospitals and one community hospital in the Northeast United States. Interviews lasted 10-20 min and were digitally recorded and transcribed. Interview transcripts were analyzed for dominant themes using a combined deductive-inductive approach. Responses regarding experiences before and during the pandemic were compared. Five major challenges emerged regarding (1) availability of caregivers, (2) reliability of sources, (3) language barriers, (4) time constraints, and (5) incomplete transfer documentation. Participants perceived all challenges, but those relating to transfer documentation were amplified by the COVID-19 pandemic. Emergency clinicians' perspectives can inform efforts to support caregiver presence at bedside and develop standardized communication tools to improve recognition of delirium and, more broadly, geriatric emergency care.

An Emergency Department Delirium Screening and Management Initiative: The Development and Refinement of the SCREENED-ED Intervention.

The current article describes an intervention aimed at emergency department (ED) nurses and physicians that was designed to address the challenges of managing delirium in the ED environment. The intervention development process followed the Medical Research Council principles paired with a user-centered design perspective. Expert clinicians and nursing staff were involved in the development process. As a result, the SCREENED-ED intervention includes four major components: screening for delirium, informing providers, an acronym (ALTERED), and documentation in the electronic health record. The acronym "ALTERED" includes seven key elements of delirium management that were considered the most evidence-based, relevant, and practical for the ED. Nurses are at the frontline of delirium recognition and management and the SCREENED-ED intervention with the ALTERED acronym holds the potential to improve nursing care in this complex clinical setting. [Journal of Gerontological Nursing, 47(12), 13-17.].

Neutrophil-Lymphocyte Ratio as a Potential Biomarker for Delirium in the Intensive Care Unit.

Background: Recognition and early detection of delirium in the intensive care unit (ICU) is essential to improve ICU outcomes. To date, neutrophil-lymphocyte ratio (NLR), one of inflammatory markers, has been proposed as a potential biomarker for brain disorders related to neuroinflammation. This study aimed to investigate whether NLR could be utilized in early detection of delirium in the ICU.Methods: Of 10,144 patients who admitted to the ICU, 1,112 delirium patients (DE) were included in the current study. To compare among inflammatory markers, NLR, C-reactive protein (CRP), and white blood cell (WBC) counts were obtained: the mean NLR, CRP levels, and WBC counts between the initial day of ICU admission and the day of initial delirium onset within DE were examined. The inflammatory marker of 1,272 non-delirium patients (ND) were also comparatively measured as a supplement. Further comparisons included a subgroup analysis based on delirium subtypes (non-hypoactive vs. hypoactive) or admission types (elective vs. emergent).Results: The NLR and CRP levels in DE increased on the day of delirium onset compared to the initial admission day. ND also showed increased CRP levels on the sixth day (the closest day to average delirium onset day among DE) of ICU admission compared to baseline, while NLR in ND did not show significant difference over time. In further analyses, the CRP level of the non-hypoactive group was more increased than that of the hypoactive group during the delirium onset. NLR, however, was more significantly increased in patients with elective admission than in those with emergent admission.Conclusion: Elevation of NLR was more closely linked to the onset of delirium compared to other inflammatory markers, indicating that NLR may play a role in early detection of delirium.

108 COMBATTING CONFUSION: SIMULATION-BASED MEDICAL EDUCATION FOR DEALING WITH DELIRIUM

Abstract Background Delirium is a complex, costly, and common clinical syndrome. Simulation-based medical education has been shown to be effective in enhancing the confidence, knowledge and skills of healthcare professionals in the management of delirium. We piloted an inter-professional education simulation on delirium in an acute hospital setting. The session’s design was informed by participating in ‘Sim Stars’, a regional simulation development competition. Methods We iteratively developed a low-fidelity simulation scenario on the recognition, prevention and management of delirium. The resulting simulation was piloted during an hour-long multidisciplinary departmental teaching session in a lecture hall setting. A candidate was asked to review an acutely confused patient (played by a ‘confederate’) on call. The candidate was expected to screen for delirium using the 4AT tool; assess for possible causes of delirium; and implement an appropriate management plan. After the session, qualitative feedback from the participants and audience was sought. Results This pilot simulation included one candidate (medical Senior House Officer); two confederates (Consultant Geriatrician, Advanced Nurse Practitioner); two facilitators (Consultant Geriatrician, Advanced Nurse Practitioner); and an audience of 17 members. Feedback indicated that learners and trainers found this a helpful and enjoyable pedagogical method. Areas for improvement were highlighted, including providing advance notice for learners of the topic to be simulated; a more structured introduction defining the learning outcomes and declaring a ‘blame free’ environment; improved script for the patient confederate; and that having a team of learners (rather than specialists) to play ‘confederates’ may help improve team-building and reduce learner anxiety. Conclusion This pilot simulation received positive appraisals from the team, and plans are underway to incorporate simulation more regularly into departmental teaching. Suggestions to improve future simulations were welcomed. Given its low-fidelity, this scenario can easily be used at any site for simulation-based training.

Antipsychotic Drug Prescription in Pediatric Intensive Care Units: A 10-Year U.S. Retrospective Database Study.

Delirium recognition during pediatric critical illness may result in the prescription of antipsychotic medication. These medications have unclear efficacy and safety. We sought to describe antipsychotic medication use in pediatric intensive care units (PICUs) contributing to a U.S. national database. This study is an analysis of the Pediatric Health Information System Database between 2008 and 2018, including children admitted to a PICU aged 0 to 18 years, without prior psychiatric diagnoses. Antipsychotics were given in 16,465 (2.3%) of 706,635 PICU admissions at 30 hospitals. Risperidone (39.6%), quetiapine (22.1%), and haloperidol (20.8%) were the most commonly used medications. Median duration of prescription was 4 days (interquartile range: 2-11 days) for atypical antipsychotics, and haloperidol was used a median of 1 day (1-3 days). Trend analysis showed quetiapine use increased over the study period, whereas use of haloperidol and chlorpromazine (typical antipsychotics) decreased ( p < 0.001). Compared with no antipsychotic administration, use of antipsychotics was associated with comorbidities (81 vs. 65%), mechanical ventilation (57 vs. 36%), longer PICU stay (6 vs. 3 days), and higher mortality (5.7 vs. 2.8%) in univariate analyses. In the multivariable model including demographic and clinical factors, antipsychotic prescription was associated with mortality (odds ratio [OR] = 1.09, 95% confidence interval [CI]: 1.02-1.18). Use of atypical antipsychotics increased over the 10-year period, possibly reflecting increased comfort with their use in pediatric patients. Antipsychotics were more common in patients with comorbidities, mechanical ventilation, and longer PICU stay, and associated with higher mortality in an adjusted model which warrants further study.