Delirium in older emergency department patients: recognition, risk factors, and psychomotor subtypes

Delirium detection in the emergency department: A diagnostic accuracy meta-analysis of history, physical examination, laboratory tests, and screening instruments

INTRODUCTION

Geriatric emergency department (ED) guidelines emphasize timely identification of delirium. This article updates previous diagnostic accuracy systematic reviews of history, physical examination, laboratory testing, and ED screening instruments for the diagnosis of delirium as well as test-treatment thresholds for ED delirium screening.

METHODS

We conducted a systematic review to quantify the diagnostic accuracy of approaches to identify delirium. Studies were included if they described adults aged 60 or older evaluated in the ED setting with an index test for delirium compared with an acceptable criterion standard for delirium. Data were extracted and studies were reviewed for risk of bias. When appropriate, we conducted a meta-analysis and estimated delirium screening thresholds.

RESULTS

Full-text review was performed on 55 studies and 27 were included in the current analysis. No studies were identified exploring the accuracy of findings on history or laboratory analysis. While two studies reported clinicians accurately rule in delirium, clinician gestalt is inadequate to rule out delirium. We report meta-analysis on three studies that quantified the accuracy of the 4 A's Test (4AT) to rule in (pooled positive likelihood ratio [LR+] 7.5, 95% confidence interval [CI] 2.7-20.7) and rule out (pooled negative likelihood ratio [LR-] 0.18, 95% CI 0.09-0.34) delirium. We also conducted meta-analysis of two studies that quantified the accuracy of the Abbreviated Mental Test-4 (AMT-4) and found that the pooled LR+ (4.3, 95% CI 2.4-7.8) was lower than that observed for the 4AT, but the pooled LR- (0.22, 95% CI 0.05-1) was similar. Based on one study the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) is the superior instrument to rule in delirium. The calculated test threshold is 2% and the treatment threshold is 11%.

CONCLUSIONS

The quantitative accuracy of history and physical examination to identify ED delirium is virtually unexplored. The 4AT has the largest quantity of ED-based research. Other screening instruments may more accurately rule in or rule out delirium. If the goal is to rule in delirium then the CAM-ICU or brief CAM or modified CAM for the ED are superior instruments, although the accuracy of these screening tools are based on single-center studies. To rule out delirium, the Delirium Triage Screen is superior based on one single-center study.

Emergency Department Length of Stay for Older Adults With Dementia

STUDY OBJECTIVE

The emergency department (ED) poses unique challenges and risks to persons living with dementia. A longer ED length of stay is associated with the risk of death, delirium, and medication errors. We sought to determine whether ED length of stay differed by dementia status and trends in ED length of stay for persons living with dementia from 2014 to 2018 and whether persons living with dementia were at a higher risk for prolonged ED length of stay (defined as a length of stay > 90th percentile).

METHODS

In this observational study, we used data from the Healthcare Cost and Utilization Project State Emergency Department Database from Massachusetts, Arkansas, Arizona, and Florida. We included ED visits resulting in discharge for adults aged ≥65 years from 2014 to 2018. We used inverse probability weighting to create comparable groups of visits on the basis of dementia status. We used generalized linear models to estimate the mean difference in ED length of stay on the basis of dementia status and logistic regression to determine the odds of prolonged ED length of stay.

RESULTS

We included 1,039,497 ED visits (mean age: 83.5 years; 64% women; 78% White, 12% Hispanic). Compared with visits by persons without dementia, ED length of stay was 3.1 hours longer (95% confidence interval [CI] 3.0 to 3.3 hours) for persons living with dementia. Among the visits resulting in transfer, ED length of stay was on average 4.1 hours longer (95% CI 3.6 to 4.5 hours) for persons living with dementia. Visits by persons living with dementia were more likely to have a prolonged length of stay (risk difference 4.1%, 95% CI 3.9 to 4.4).

CONCLUSION

ED visits were more than 3 hours longer for persons living with versus without dementia. Initiatives focused on optimizing ED care for persons living with dementia are needed.

Prognostic value of cognitive impairment, assessed by the Clock Drawing Test, in emergency department patients presenting with non-specific complaints

BACKGROUND

Cognitive impairment (CI) is common among older patients presenting to the emergency department (ED). The failure to recognize CI at ED presentation constitutes a high risk of additional morbidity, mortality, and functional decline. The Clock Drawing Test (CDT) is a well-established cognitive screening test.

AIM

In patients presenting to the ED with non-specific complaints (NSCs), we aimed to investigate the usability of the CDT and its prognostic value regarding length of hospital stay (LOS) and mortality.

METHOD

Secondary analysis of the Basel Non-specific Complaints (BANC) trial, a prospective delayed type cross-sectional study with a 30-day follow-up. In three EDs, patients presenting with NSCs were enrolled. The CDT was administered at enrollment.

RESULTS

In the 1,278 patients enrolled, median age was 81 [74, 87] years and 782 were female (61.19%). A valid CDT was obtained in 737 (57.7%) patients. In patients without a valid CDT median LOS was higher (29 [9, 49] days vs. 22 [9, 45] days), and 30-day mortality was significantly higher than in patients with a valid CDT (n = 45 (8.32%) vs. n = 39 (5.29%)). Of all valid CDTs, 154 clocks (20.9%) were classified as normal, 55 (7.5%) as mildly deficient, 297 (40.3%) as moderately deficient, and 231 (31.3%) as severely deficient. Mortality and LOS increased along with the CDT deficits (p = 0.012 for 30-day mortality; p < 0.001 for LOS).

CONCLUSION

The early identification of patients with CI may lead to improved patient management and resource allocation. The CDT could be used as a risk stratification tool for older ED patients presenting with NSCs, as it is a predictor for 30-day mortality and LOS.

Delirium screening in the emergency department: evaluation and intervention

BACKGROUND

Between 8-17% of older adults, and up to 40% of those arriving from nursing homes, present with delirium upon admission to the Emergency Department (ED). However, this condition often remains undiagnosed by ED medical staff. We investigated the prevalence of delirium among patients aged 65 and older admitted to the ED and assessed the impact of a prospective study aimed at increasing awareness.

METHODS

The study was structured into four phases: a "pre-intervention period" (T0); an "awareness period" (T1), during which information about delirium and its diagnosis was disseminated to ED staff; a "screening period" (T2), in which dedicated evaluators screened ED patients aged 65 and older; and a "post-intervention period" (T3), following the departure of the evaluators. Delirium screening was conducted using the Brief Confusion Assessment Method (bCAM) questionnaire.

RESULTS

During the T0 and T1 periods, the rate of delirium diagnosed by ED staff was below 1%. The evaluators identified a delirium rate of 14.9% among the screened older adults during the T2 period, whereas the rate among those assessed by ED staff was between 1.6% and 1.9%. Following the evaluators' departure in the T3 period, the rate of delirium diagnosis decreased to 0.89%.

CONCLUSIONS

This study underscores that a significant majority of older adult delirium cases remain undetected by ED staff. Despite efforts to increase awareness, the rate of diagnosis did not significantly improve. While the presence of dedicated delirium evaluators slightly increased the diagnosis rate among patients assessed by ED staff, this rate reverted to pre-intervention levels after the evaluators left. These findings emphasize the necessity of implementing mandatory delirium screening during ED triage and throughout the patient's stay.

Reduction and prevention of agitation in persons with neurocognitive disorders: an international psychogeriatric association consensus algorithm

OBJECTIVES

To develop an agitation reduction and prevention algorithm is intended to guide implementation of the definition of agitation developed by the International Psychogeriatric Association (IPA).

DESIGN

Review of literature on treatment guidelines and recommended algorithms; algorithm development through reiterative integration of research information and expert opinion.

SETTING

IPA Agitation Workgroup.

PARTICIPANTS

IPA panel of international experts on agitation.

INTERVENTION

Integration of available information into a comprehensive algorithm.

MEASUREMENTS

None.

RESULTS

The IPA Agitation Work Group recommends the Investigate, Plan, and Act (IPA) approach to agitation reduction and prevention. A thorough investigation of the behavior is followed by planning and acting with an emphasis on shared decision-making; the success of the plan is evaluated and adjusted as needed. The process is repeated until agitation is reduced to an acceptable level and prevention of recurrence is optimized. Psychosocial interventions are part of every plan and are continued throughout the process. Pharmacologic interventions are organized into panels of choices for nocturnal/circadian agitation; mild-moderate agitation or agitation with prominent mood features; moderate-severe agitation; and severe agitation with threatened harm to the patient or others. Therapeutic alternatives are presented for each panel. The occurrence of agitation in a variety of venues-home, nursing home, emergency department, hospice-and adjustments to the therapeutic approach are presented.

CONCLUSIONS

The IPA definition of agitation is operationalized into an agitation management algorithm that emphasizes the integration of psychosocial and pharmacologic interventions, reiterative assessment of response to treatment, adjustment of therapeutic approaches to reflect the clinical situation, and shared decision-making.

Usability of the 4Ms Worksheet in the Emergency Department for Older Patients: A Qualitative Study

Introduction

Older adults often have multiple comorbidities; therefore, they are at high risk for adverse events after discharge. The 4Ms framework-what matters, medications, mentation, mobility-has been used in acute and ambulatory care settings to identify risk factors for adverse events in older adults, although it has not been used in the emergency department (ED). We aimed to determine whether 1) use of the 4Ms worksheet would help emergency clinicians understand older adult patients' goals of care and 2) use of the worksheet was feasible in the ED.

Methods

We conducted a qualitative, descriptive study among patients aged ≥60 years and emergency clinicians from January-June 2022. Patients were asked to fill out a 4Ms worksheet; following this, semi-structured interviews were conducted with patients and clinicians separately. We analysed data to create codes, which were divided into categories and sub-categories.

Results

A total of 20 older patients and 19 emergency clinicians were interviewed. We identified two categories based on our aims: understanding patient goals of care (sub-categories: clinician/ patient concordance; understanding underlying goals of care; underlying goals of care discrepancy) and use of 4Ms Worksheet (sub-categories: worksheet to discussion discrepancy; challenges using worksheet; challenge completing worksheet before discharge). Rates of concordance between patient and clinician on main concern/goal of care and underlying goals of care were 82.4% and 15.4%, respectively.

Conclusion

We found that most patients and emergency clinicians agreed on the main goal of care, although clinicians often failed to elicit patients' underlying goal(s) of care. Additionally, many patients preferred to have the interviewer fill out the worksheet for them. There was often discrepancy between what was written and what was discussed with the interviewer. More research is needed to determine the best way to integrate the 4Ms framework within emergency care.

Geriatric Psychiatric Emergencies

Geriatric patients, those 65 years of age and older, often experience psychiatric symptoms or changes in mentation as a manifestation of an organic illness. It is crucial to recognize and treat delirium in these patients as it is often under-recognized and associated with significant morbidity. Iatrogenic causes of altered mentation or delirium due to medication adverse reactions are common. Treatment of the underlying cause, creating an environment conducive to orientation, and minimizing agitation and discomfort are first-line interventions. Antipsychotics are first-line pharmacologic interventions if needed to preserve patient safety.

Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records

COVID-19 has a range of complications, from no symptoms to severe pneumonia. It can also affect multiple organs including the nervous system. COVID-19 affects the brain, leading to neurological symptoms such as delirium. Delirium, a sudden change in consciousness, can increase the risk of death and prolong the hospital stay. However, research on delirium prediction in patients with COVID-19 is insufficient. This study aimed to identify new risk factors that could predict the onset of delirium in patients with COVID-19 using machine learning (ML) applied to nursing records. This retrospective cohort study used natural language processing and ML to develop a model for classifying the nursing records of patients with delirium. We extracted the features of each word from the model and grouped similar words. To evaluate the usefulness of word groups in predicting the occurrence of delirium in patients with COVID-19, we analyzed the temporal changes in the frequency of occurrence of these word groups before and after the onset of delirium. Moreover, the sensitivity, specificity, and odds ratios were calculated. We identified (1) elimination-related behaviors and conditions and (2) abnormal patient behavior and conditions as risk factors for delirium. Group 1 had the highest sensitivity (0.603), whereas group 2 had the highest specificity and odds ratio (0.938 and 6.903, respectively). These results suggest that these parameters may be useful in predicting delirium in these patients. The risk factors for COVID-19-associated delirium identified in this study were more specific but less sensitive than the ICDSC (Intensive Care Delirium Screening Checklist) and CAM-ICU (Confusion Assessment Method for the Intensive Care Unit). However, they are superior to the ICDSC and CAM-ICU because they can predict delirium without medical staff and at no cost.

Development of postoperative delirium prediction models in patients undergoing cardiovascular surgery using machine learning algorithms

Associations between delirium and postoperative adverse events in cardiovascular surgery have been reported and the preoperative identification of high-risk patients of delirium is needed to implement focused interventions. We aimed to develop and validate machine learning models to predict post-cardiovascular surgery delirium. Patients aged ≥ 40 years who underwent cardiovascular surgery at a single hospital were prospectively enrolled. Preoperative and intraoperative factors were assessed. Each patient was evaluated for postoperative delirium 7 days after surgery. We developed machine learning models using the Bernoulli naive Bayes, Support vector machine, Random forest, Extra-trees, and XGBoost algorithms. Stratified fivefold cross-validation was performed for each developed model. Of the 87 patients, 24 (27.6%) developed postoperative delirium. Age, use of psychotropic drugs, cognitive function (Mini-Cog < 4), index of activities of daily living (Barthel Index < 100), history of stroke or cerebral hemorrhage, and eGFR (estimated glomerular filtration rate) < 60 were selected to develop delirium prediction models. The Extra-trees model had the best area under the receiver operating characteristic curve (0.76 [standard deviation 0.11]; sensitivity: 0.63; specificity: 0.78). XGBoost showed the highest sensitivity (AUROC, 0.75 [0.07]; sensitivity: 0.67; specificity: 0.79). Machine learning algorithms could predict post-cardiovascular delirium using preoperative data.Trial registration: UMIN-CTR (ID; UMIN000049390).

Exploration of key drug target proteins highlighting their related regulatory molecules, functional pathways and drug candidates associated with delirium: evidence from meta-data analyses

BACKGROUND

Delirium is a prevalent neuropsychiatric medical phenomenon that causes serious emergency outcomes, including mortality and morbidity. It also increases the suffering and the economic burden for families and carers. Unfortunately, the pathophysiology of delirium is still unknown, which is a major obstacle to therapeutic development. The modern network-based system biology and multi-omics analysis approach has been widely used to recover the key drug target biomolecules and signaling pathways associated with disease pathophysiology. This study aimed to identify the major drug target hub-proteins associated with delirium, their regulatory molecules with functional pathways, and repurposable drug candidates for delirium treatment.

METHODS

We used a comprehensive proteomic seed dataset derived from a systematic literature review and the Comparative Toxicogenomics Database (CTD). An integrated multi-omics network-based bioinformatics approach was utilized in this study. The STRING database was used to construct the protein-protein interaction (PPI) network. The gene set enrichment and signaling pathways analysis, the regulatory transcription factors and microRNAs were conducted using delirium-associated genes. Finally, hub-proteins associated repurposable drugs were retrieved from CMap database.

RESULTS

We have distinguished 11 drug targeted hub-proteins (MAPK1, MAPK3, TP53, JUN, STAT3, SRC, RELA, AKT1, MAPK14, HSP90AA1 and DLG4), 5 transcription factors (FOXC1, GATA2, YY1, TFAP2A and SREBF1) and 6 microRNA (miR-375, miR-17-5, miR-17-5p, miR-106a-5p, miR-125b-5p, and miR-125a-5p) associated with delirium. The functional enrichment and pathway analysis revealed the cytokines, inflammation, postoperative pain, oxidative stress-associated pathways, developmental biology, shigellosis and cellular senescence which are closely connected with delirium development and the hallmarks of aging. The hub-proteins associated computationally identified repurposable drugs were retrieved from database. The predicted drug molecules including aspirin, irbesartan, ephedrine-(racemic), nedocromil, and guanidine were characterized as anti-inflammatory, stimulating the central nervous system, neuroprotective medication based on the existing literatures. The drug molecules may play an important role for therapeutic development against delirium if they are investigated more extensively through clinical trials and various wet lab experiments.

CONCLUSION

This study could possibly help future research on investigating the delirium-associated therapeutic target biomarker hub-proteins and repurposed drug compounds. These results will also aid understanding of the molecular mechanisms that underlie the pathophysiology of delirium onset and molecular function.

Electroencephalogram measured functional connectivity for delirium detection: a systematic review

Objective

Delirium is an acute alteration of consciousness marked by confusion, inattention, and changes in cognition. Some speculate that delirium may be a disorder of functional connectivity, but the requirement to lay still may limit measurement with existing functional imaging modalities in this population. Electroencephalography (EEG) may allow for a more feasible approach to the study of potential connectivity disturbances in delirium. We conducted a systematic review to investigate whether there are EEG-measurable differences in brain functional connectivity in the resting state associated with delirium.

Methods

Medline, PubMed, PsychInfo, Embase and CINAHL were searched for relevant articles containing original data studying EEG functional connectivity measures in delirium.

Results

The search yielded 1,516 records. Following strict inclusion criteria, four studies were included in the review. The studies used a variety of EEG measures including phase lag index, coherence, entropy, shortest path length, minimum spanning tree, and network clustering coefficients to study functional connectivity between scalp electrodes. Across connectivity measures, delirium was associated with decreased brain functional connectivity. All four studies found decreased alpha band connectivity for patients with delirium. None of the studies directly compared the different motor subtypes of delirium.

Significance

This systematic review provides converging evidence for disturbances in oscillatory-based functional connectivity in delirium.

Association of neurocognitive disorders with morbidity and mortality in older adults undergoing major surgery in the USA: a retrospective, population-based, cohort study

BACKGROUND

Neurocognitive disorders become increasingly common as patients age, and increasing numbers of surgical interventions are done on older patients. The aim of this study was to understand the clinical characteristics and outcomes of surgical patients with neurocognitive disorders in the USA in order to guide future targeted interventions for better care.

METHODS

This retrospective cohort study used claims data for US Medicare beneficiaries aged 65 years and older with a record of inpatient admission for a major diagnostic or therapeutic surgical procedure between Jan 1, 2017, and Dec 31, 2018. Data were retrieved through a data use agreement between Dartmouth Hitchcock Medical Center and US Centers for Medicare and Medicaid Services via the Research Data Assistance Center. The exposure of interest was the presence of a pre-existing neurocognitive disorder as defined by diagnostic code within 3 years of index hospital admission. The primary outcome was mortality at 30 days, 90 days, and 365 days from date of surgery among all patients with available data.

FINDINGS

Among 5 263 264 Medicare patients who underwent a major surgical procedure, 767 830 (14·59%) had a pre-existing neurocognitive disorder and 4 495 434 (85·41%) had no pre-existing neurocognitive disorder. Adjusting for demographic factors and comorbidities, patients with a neurocognitive disorder had higher 30-day (hazard ratio 1·24 [95% CI 1·23-1·25]; p<0·0001), 90-day (1·25 [1·24-1·26]; p<0·0001), and 365-day mortality (1·25 [1·25-1·26]; p<0·0001) compared with patients without a neurocognitive disorder.

INTERPRETATION

Our findings suggest that the presence of a neurocognitive disorder is independently associated with an increased risk of mortality. Identification of a neurocognitive disorder before surgery can help clinicians to better disclose risks and plan for patient care after hospital discharge.

FUNDING

Department of Anesthesiology and Perioperative Medicine at Dartmouth Hitchcock Medical Center.

Delirium and Delirium Prevention in the Emergency Department

This article covers the epidemiology of delirium and the overlapping condition of altered mental status and encephalopathy that is relevant to those who practice in the emergency department.

A Lethal Combination of Delirium and Overcrowding in the Emergency Department

Delirium is a common public health concern that significantly impacts older patients admitted to the Emergency Department (ED). This condition is linked to adverse outcomes such as reduced long-term functionality, higher mortality rates, extended hospital stays, and increased medical costs. The identification of risk factors is crucial for the early recognition and management of delirium in ED patients. Aging, cognitive decline, polypharmacy, and sensory impairment are some of the most common general risk factors described in the literature. Although validated delirium assessment tools already exist, they are not practical for the fast-paced ED environment because of their extended evaluation period or specialized training request. Moreover, clear guidance is needed to select the most suitable tool for detecting delirium, balancing between the accuracy and the swiftness required in an overcrowded, high-stress, and understaffed healthcare setting. This narrative review aims to analyze the updated literature on delirium risk factors in older ED patients and focuses on the methods for better screening, managing, and treating this condition in the ED.

Thirty-day mortality among patients with acute delirium in the emergency department

Purpose

The number of visits to the emergency department (ED) is growing among older patients. Older people are at risk of acute delirium, which is associated with mortality. Our primary objective was to determine the 30-day mortality outcome between older patients with and without acute delirium.

Methods

From August 2018 to October 2019, we conducted a prospective cohort study in the ED of a tertiary care and university hospital. Patients over the age of 65 years who presented to the ED were included in the study. Within the first 12 h after the ED visit, delirium was assessed by using the Thai version of the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). We collected data on 30-day mortality, ED LOS, hospital length of stay (LOS), and the 30-day ED revisit rate.

Results

We enrolled 173 patients in this study; 49 (28%) patients had acute delirium according to the CAM-ICU. The overall 30-day mortality was 4% (7/173). Delirium had no effect on 30-day mortality (adjusted odds ratio [OR], 2.15; 95% confidence interval [CI], 0.37-12.55; P = 0.40). Delirium was not associated with hospital LOS (adjusted mean difference -18.83 h; 95% CI, -71.94-34.28; P = 0.49) and the 30-day ED revisit rate (adjusted OR, 1.55; 95% CI, 0.59-4.11; P = 0.37). However, an increasing trend in ED LOS was observed (adjusted mean difference 16.39 h; 95% CI, -0.160-32.96; P = 0.05).

Conclusions

We found insufficient evidence to establish an association between delirium and 30-day mortality, hospital LOS, or 30-day emergency department revisits.

Trial registration

The trial was retrospectively registered in the Thai Clinical Trial Registry, identification number TCTR2021082700 on August 27, 2021.

Evaluating the performance of machine learning methods for risk estimation of delirium in patients hospitalized from the emergency department

INTRODUCTION

Delirium is a cerebral dysfunction seen commonly in the acute care setting. It is associated with increased mortality and morbidity and is frequently missed in the emergency department (ED) and inpatient care by clinical gestalt alone. Identifying those at risk of delirium may help prioritize screening and interventions in the hospital setting.

OBJECTIVE

Our objective was to leverage electronic health records to identify a clinically valuable risk estimation model for prevalent delirium in patients being transferred from the ED to inpatient units.

METHODS

This was a retrospective cohort study to develop and validate a risk model to detect delirium using patient data available from prior visits and ED encounter. Electronic health records were extracted for patients hospitalized from the ED between January 1, 2014, and December 31, 2020. Eligible patients were aged 65 or older, admitted to an inpatient unit from the emergency department, and had at least one DOSS assessment or CAM-ICU recorded within 72 h of hospitalization. Six machine learning models were developed to estimate the risk of delirium using clinical variables including demographic features, physiological measurements, medications administered, lab results, and diagnoses.

RESULTS

A total of 28,531 patients met the inclusion criteria with 8057 (28.4%) having a positive delirium screening within the outcome observation period. Machine learning models were compared using the area under the receiver operating curve (AUC). The gradient boosted machine achieved the best performance with an AUC of 0.839 (95% CI, 0.837-0.841). At a 90% sensitivity threshold, this model achieved a specificity of 53.5% (95% CI 53.0%-54.0%) a positive predictive value of 43.5% (95% CI 43.2%-43.9%), and a negative predictive value of 93.1% (95% CI 93.1%-93.2%). A random forest model and L1-penalized logistic regression also demonstrated notable performance with AUCs of 0.837 (95% CI, 0.835-0.838) and 0.831 (95% CI, 0.830-0.833) respectively.

CONCLUSION

This study demonstrated the use of machine learning algorithms to identify a combination of variables that enables an estimation of risk of positive delirium screens early in hospitalization to develop prevention or management protocols.

Leveraging the Electronic Health Record to Implement Emergency Department Delirium Screening

OBJECTIVE

The aim of this study is to understand how emergency departments (EDs) use health information technology (HIT), and specifically the electronic health record (EHR), to support implementation of delirium screening.

METHODS

We conducted semi-structured interviews with 23 ED clinician-administrators, representing 20 EDs, about how they used HIT resources to implement delirium screening. Interviews focused on challenges participants experienced when implementing ED delirium screening and EHR-based strategies they used to overcome them. We coded interview transcripts using dimensions from the Singh and Sittig sociotechnical model, which addresses use of HIT in complex adaptive health care systems. Subsequently, we analyzed data for common themes across dimensions of the sociotechnical model.

RESULTS

Three themes emerged about how the EHR could be used to address challenges in implementation of delirium screening: (1) staff adherence to screening, (2) communication among ED team members about a positive screen, and (3) linking positive screening to delirium management. Participants described several HIT-based strategies including visual nudges, icons, hard stop alerts, order sets, and automated communications that facilitated implementation of delirium screening. An additional theme emerged about challenges related to the availability of HIT resources.

CONCLUSION

Our findings provide practical HIT-based strategies for health care institutions planning to adopt geriatric screenings. Building delirium screening tools and reminders to perform screening into the EHR may prompt adherence to screening. Automating related workflows, team communication, and management of patients who screen positive for delirium may help save staff members' time. Staff education, engagement, and access to HIT resources may support successful screening implementation.

Association of delirium with increased short-term mortality among older emergency department patients: A cohort study

STUDY OBJECTIVE

To evaluate the association between delirium and subsequent short-term mortality in geriatric patients presenting to the emergency department (ED).

METHODS

This was an observational cohort study of adults age ≥75 years who presented to an academic ED and were screened for delirium during their ED visit. The Delirium Triage Screen followed by the Brief Confusion Assessment Method were used to ascertain the presence of delirium. In-hospital, 7-day, and 30-day mortality were compared between patients with and without ED delirium. Odds ratios with 95% confidence intervals (CIs) were calculated through logistic regression after adjusting for confounders including age, sex, history of dementia, ED disposition, and acuity.

RESULTS

A total of 967 ED visits were included for analysis among which delirium was detected in 107 (11.1%). The median age of the cohort was 83 years (IQR 79, 88), 526 (54.4%) were female, 285 (29.5%) had documented dementia, and 171 (17.7%) had a high acuity Emergency Severity Index triage level 1 or 2. During the hospitalization, 5/107 (4.7%) of those with delirium and 4/860 (0.5%) of those without delirium died. Within 7 days of ED departure, 6/107 (5.6%) of those with delirium and 6/860 (0.7%) of those without delirium died (unadjusted OR 8.46, 95% CI 2.68-26.71). Within 30 days, 18/107 (16.8%) of those with delirium and 37/860 (4.3%) of those without delirium died (unadjusted OR 4.50, 95% CI 2.46-8.23). ED delirium remained associated with higher 7-day (adjusted OR 5.23, 95% CI 1.44-19.05, p = 0.008) and 30-day mortality (adjusted OR 2.82, 95% CI 1.45-5.46, p = 0.002).

CONCLUSION

Delirium is an important prognostic factor that ED clinicians and nurses must be aware of to optimize delirium prevention, management, disposition, and communication with patients and families.

Diagnostic accuracy of the "4 A's Test" delirium screening tool for the postoperative cardiac surgery ward

BACKGROUND

Delirium is prevalent and underdetected among cardiac surgery patients on the postoperative ward. This study aimed to validate the 4 A's Test delirium screening tool and evaluate its accuracy both when used by research assistants and when subsequently implemented by nursing staff on the ward.

METHODS

This single-center, prospective observational study evaluated the performance of the 4 A's Test administered by research assistants (phase 1) and nursing staff (phase 2). Assessments were undertaken during the patients' first 3 postoperative days on the postcardiac surgery ward along with previous routine nurse-led Confusion Assessment Method assessments. These index tests were compared with a reference standard diagnosis of delirium based on Diagnostic and Statistical Manual of Mental Disorders 5th Edition criteria. Surveys regarding delirium screening were administered to nurses pre- and postimplementation of the 4 A's Test in phase 2 of the study.

RESULTS

In phase 1, a total of 137 patients were enrolled, of whom 24.8% experienced delirium on the postoperative cardiac ward. The 4 A's Test had a sensitivity of 85% (95% confidence interval, 73-93) and a specificity of 90% (95% confidence interval, 85-93) compared with the reference standard. The nurse-assessed Confusion Assessment Method had a sensitivity of 23% (95% confidence interval, 13-37) and specificity of 100% (95% confidence interval, 99-100). In phase 2, nurses (n = 51) screened 179 patients for delirium using the 4 A's Test. Compared with the reference rater, the 4 A's Test had a sensitivity of 58% (95% confidence interval, 28-85) and specificity of 94% (95% confidence interval, 85-98). Postimplementation, 64% of nurses thought that the 4 A's Test improved their confidence in delirium detection, and 76% of nurses would consider routine 4 A's Test use.

CONCLUSIONS

The 4 A's Test demonstrated moderate sensitivity and high specificity to detect delirium in a real-world setting after cardiac surgery on the postoperative ward. A modified model of use with less frequent administration, along with increased engagement of the postoperative team, is recommended to improve early delirium detection on the cardiac surgery postoperative ward.

Effect of physical and occupational therapy on delirium duration in older emergency department patients who are hospitalized

Objective

Delirium in older emergency department (ED) adults is associated with poorer long-term physical function and cognition. We sought to evaluate if the time to and intensity of physical and/or occupational therapy (PT/OT) are associated with the duration of ED delirium into hospitalization (ED delirium duration).

Methods

This is a secondary analysis of a prospective cohort study conducted from March 2012 to November 2014 at an urban, academic, tertiary care hospital. Patients aged ≥65 years presenting to the ED and who received PT/OT during their hospitalization were included. Days from enrollment to the first PT/OT session and PT/OT duration relative to hospital length of stay (PT/OT intensity) were abstracted from the medical record. ED delirium duration was defined as the duration of delirium detected in the ED using the Brief Confusion Assessment Method. Data were analyzed using a proportional odds logistic regression adjusted for multiple variables. Adjusted odds ratios (ORs) were calculated with 95% confidence intervals (95%CI).

Results

The median log PT/OT intensity was 0.5% (interquartile range [IQR]: 0.3%, 0.9%) and was associated with shorter delirium duration (adjusted OR, 0.39; 95% CI, 0.21-0.73). The median time to the first PT/OT session was 2 days (IQR: 1, 3 days) and was not associated with delirium duration (adjusted OR, 1.02; 95% CI, 0.82-1.27).

Conclusion

In older hospitalized adults, higher PT/OT intensity may be a useful intervention to shorten delirium duration. Time to first PT/OT session was not associated with delirium duration but was initiated a full 2 days after the ED presentation.

Recognition of Delirium Superimposed on Dementia: Is There an Ideal Tool?

Delirium in persons with dementia (DSD) is a common occurrence. Over the past three decades, several tools have been developed and validated to diagnose delirium, yet there is still a shortage of tools recommended in persons with dementia and there is a lack of sufficient research on the accuracy of performance of such tools in this growing population. The purpose of this article is to (1) conduct a clinical review of the detection of DSD across settings of care by formal health care professionals and informal family members and care partners; (2) identify barriers and facilitators to detection and highlight delirium tools that have been tested in person with dementia; and (3) make recommendations for future research, practice, and policy. Given this review, an "ideal" tool for DSD would point to tools being brief, easy to integrate into the EMR, and accurate with at least 90% accuracy given the poor outcomes associated with delirium and DSD. Knowing the baseline and communication between family members and healthcare professionals should be a top priority for education, research, and health systems policy. More work is needed in better understanding DSD and optimizing and standardizing feature assessment, especially the acute change feature at the bedside for DSD.

The Association between Delirium and In-Hospital Falls: A Cross-Sectional Analysis of a Delirium Screening Program

Methods

A cross-sectional study using delirium screening and falls reports was used to measure the association between delirium and falls. All inpatient data from August, 2018, to January, 2020, at a large academic medical center were analyzed. A multivariable logistic regression of 29,655 hospital admissions was used to understand the association between in-hospital delirium and falls.

Results

Analysis revealed a delirium rate of 12.5% (n = 3,707) of all admissions and 286 (0.9%) admissions with falls; of the falls studied, 37.6% of these patients screened positive for delirium during their admission. Relative to those who screened negative for delirium, admissions that screened positive for delirium had a 2.81 increased odds of falling.

Conclusions

Delirium and falls are related. This strong association should motivate health systems to look closely at both problems. Falls and delirium can both have immense impacts on the patient and the health system. The powerful association between them provides a window to reduce these additional patient harms. More specifically, a modern delirium screening tool should be used as part of routine risk assessment focused on reducing in-hospital falls.

Contemporary Practices for Medical Evaluation of the Psychiatric Patient in the Emergency Department

Although emergency department (ED) visits for patients with mental illness are frequent, medical evaluation (i.e., "medical screening") of patients presenting with psychiatric complaints is inconsistent. This may largely be related to differing goals for medical screening, which often vary according to specialty. Although emergency physicians typically focus on stabilization of life-threatening diseases, psychiatrists tend to believe that care in the ED is more comprehensive, which often places the two fields at odds. The authors discuss the concept of medical screening, review the literature on this topic, and offer a clinically oriented update to the 2017 American Association for Emergency Psychiatry consensus guidelines on medical evaluation of the adult psychiatric patient in the ED.

Understanding why delirium is often missed in older emergency department patients: a qualitative descriptive study

OBJECTIVES

Unrecognized delirium is associated with significant adverse outcomes. Despite decades of effort and educational initiatives, validated screening tools have not improved delirium recognition in the emergency department (ED). There remains a fundamental knowledge gap of why it is consistently missed. The objective of this study was to explore the perceptions of ED physicians and nurses regarding factors contributing to missed delirium in older ED patients.

METHODS

We conducted a qualitative descriptive study at two academic tertiary care EDs in Toronto, Canada. Emergency physicians and nurses were interviewed by a trained qualitative researcher using a semi-structured interview guide. We coded transcripts with an iteratively developed codebook. Interviews were conducted until thematic saturation occurred. Thematic data analysis occurred in conjunction with data collection to continuously monitor emerging themes and areas for further exploration.

RESULTS

We interviewed 26 ED physicians and nurses. We identified key themes at four levels: clinical practice, provider attitudes, systematic processes, and education. The four themes include: (1) there are varied approaches to delirium recognition and infrequent use of screening tools; (2) delirium assessment is perceived as overly time consuming and of lower priority than other symptoms and syndromes; (3) it is unclear whose responsibility it is to recognize delirium; and (4) there is a need for a deeper or "functional" understanding of delirium that includes its consequences.

CONCLUSIONS

Our findings demonstrate a need for ED leadership to identify clear team roles for delirium recognition, standardize use of delirium screening tools, and prioritize delirium as a symptom of an acute medical emergency.

Head computed tomography for elderly patients with acute altered mental status in the emergency setting: value for decision-making and predictors of abnormal findings

OBJECTIVE

This study evaluated the impact of head computed tomography (CT) on clinical decision-making about older adults with acute altered mental status (AMS) in the emergency department in terms of CT's diagnostic yield, emergency department length of stay, and changes in medical strategy. It also attempted to find predictors of an acute imaging abnormality.

METHODS

This was a 1-year, retrospective, single-center observational study of patients aged ≥75 years who underwent noncontrast head CT because of an isolated episode of AMS. The acute positive CT findings were ischemic strokes, hemorrhages, tumors, demyelinating lesions, hydrocephalus, and intracranial infections.

RESULTS

A total of 594 CTs were performed, of which 38 (6.4%) were positive. The main etiology of AMS was sepsis (29.1%). Changes in medical strategy were more common in patients with a positive CT, and the major changes were ordering additional neuro exams (odds ratio [OR], 95.3; 95% confidence interval [CI], 38.4-233.8; P<0.001), adjusting treatments (OR, 12.2; 95% CI, 5.0-29.5; P<0.001), and referral to a neurologic unit (OR, 7.3; 95% CI, 3.0-17.5; P<0.01). Three factors were significantly associated with a positive outcome: Glasgow Coma Scale <13 (OR, 8.5; 95% CI, 2.3-28.9; P<0.001), head wound (OR, 3.1; 95% CI, 1.1-8.2; P=0.025), and dehydration (OR, 0.3; 95% CI, 0.1-0.4; P=0.021). For elderly patients with a Glasgow Coma Scale ≥13 and no head wound or clinical dehydration, the probability of a positive CT was 0.02 (95% CI, 0.01-0.04). Considering only those patients, the diagnostic yield fell to 1.7%.

CONCLUSION

In elderly patients, the causes of AMS are primarily extracerebral. Randomized clinical trials are needed to validate a clinical pathway for selecting patients who require emergent neuroimaging.

Do All Adult Psychiatric Patients Need Routine Laboratory Evaluation and an Electrocardiogram?

BACKGROUND

Acute psychiatric presentations account for a significant number of emergency department (ED) visits. These patients require assessment by the emergency physician and often need further evaluation by a psychiatrist, who may request routine laboratory evaluation and an electrocardiogram (ECG).

CLINICAL QUESTION

Do all adult psychiatric patients need routine laboratory evaluation and an ECG?

EVIDENCE REVIEW

Studies retrieved included 2 prospective, observational studies and 7 retrospective studies. These studies evaluate the utility of laboratory analysis in all patients presenting a psychiatric complaint and its impact on patient management and disposition.

CONCLUSION

Based upon the available literature, routine laboratory analysis and ECG for all patients presenting with a psychiatric complaint are not recommended. Clinicians should consider the individual patient, clinical situation, and comorbidities when deciding to obtain further studies such as laboratory analysis. © 2022 Elsevier Inc.

A novel semiautomatic Chinese keywords instrument screening delirium based on electronic medical records

BACKGROUND

Delirium is frequently unrecognized due to the absence of regular screening. In addition to validated bedside tools, the computer-assisted instrument based on clinical notes from electronic medical records may be useful.

AIMS

To assess the psychometric properties of a Chinese-chart-based keyword instrument for semiautomatically screening delirium using Natural language processing (NLP) based on clinical notes from electronic medical records.

METHODS

The patients were admitted to West China Hospital from January 2015 to December 2017. Grouping patients based on the medical notes, those with accessible physician documents but no nurse documents were classified as the physician & no-nurse (PNN) group, while those with accessible physician and nurse documents were classified as the physician & nurse (PN) group. The psychometric properties, test-retest reliability, internal consistency reliability (Cronbach's α), and criterion validity were calculated. Using receiver operating characteristic (ROC) analysis, the criterion validity of delirium was evaluated in comparison to the results of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.

RESULTS

A total of 779 patients were enrolled in the study. Their ages ranged from 65 to 103 years (82.5 ± 6.5), with men accounting for 71.9% of the total. A total of 312 patients had access to only physician documents in the physician & no-nurse (PNN) group, whereas 467 patients had access to both physician and nurse documents in the physician & nurse (PN) group. All 779 patients had a Cronbach's alpha of 0.728 in terms of reliability, with 100% test-retest reliability. The area under the ROC curve (AUC) values of the delirium screening instrument for criterion validity were 0.76 (all patients, n = 779), 0.72 (PNN, n = 312), and 0.79 (PN, n = 467), respectively.

CONCLUSION

A delirium screening instrument composed of Chinese keywords that can be easily and quickly obtained from electronic medical records was developed, which improved delirium detection in older people.

TRIAL REGISTRATION

Not applicable.

Emergency Department Care Transitions for Patients With Cognitive Impairment: A Scoping Review

OBJECTIVES

We aimed to describe emergency department (ED) care transition interventions delivered to older adults with cognitive impairment, identify relevant patient-centered outcomes, and determine priority research areas for future investigation.

DESIGN

Systematic scoping review.

SETTING AND PARTICIPANTS

ED patients with cognitive impairment and/or their care partners.

METHODS

Informed by the clinical questions, we conducted systematic electronic searches of medical research databases for relevant publications following published guidelines. The results were presented to a stakeholder group representing ED-based and non-ED-based clinicians, individuals living with cognitive impairment, care partners, and advocacy organizations. After discussion, they voted on potential research areas to prioritize for future investigations.

RESULTS

From 3848 publications identified, 78 eligible studies underwent full text review, and 10 articles were abstracted. Common ED-to-community care transition interventions for older adults with cognitive impairment included interdisciplinary geriatric assessments, home visits from medical personnel, and telephone follow-ups. Intervention effects were mixed, with improvements observed in 30-day ED revisit rates but most largely ineffective at promoting connections to outpatient care or improving secondary outcomes such as physical function. Outcomes identified as important to adults with cognitive impairment and their care partners included care coordination between providers and inclusion of care partners in care management within the ED setting. The highest priority research area for future investigation identified by stakeholders was identifying strategies to tailor ED-to-community care transitions for adults living with cognitive impairment complicated by other vulnerabilities such as social isolation or economic disadvantage.

CONCLUSIONS AND IMPLICATIONS

This scoping review identified key gaps in ED-to-community care transition interventions delivered to older adults with cognitive impairment. Combined with a stakeholder assessment and prioritization, it identified relevant patient-centered outcomes and clarifies priority areas for future investigation to improve ED care for individuals with impaired cognition, an area of critical need given the current population trends.

Early Diagnosis of Delirium in Palliative Care Patients Decreases Mortality and Necessity of Palliative Sedation: Results of a Prospective Observational Study

Introduction: Delirium in end-of-life patients is reported to be between 13% and 42% and up to 80% in the terminal phase. It is a serious clinical situation, often a cause of death due to the frequent ineffectiveness of treatments. This study aimed to assess whether and how much precocity of diagnosis, hitherto little considered, could affect the outcomes and prognosis of delirium in palliative care settings.

Methods: Patients consecutively admitted to a palliative care unit (PCU) between October 2018 and December 2019, cared for both in hospice and home programs, were analyzed. All patients were subjected to a careful procedure aimed at recognizing the onset of delirium. The first step was the detection of prodromal "sentinel" symptoms related to incoming delirium. PCU staff and family members/caregivers were trained to observe the patients and immediately identify the appearance of even one symptom. The final diagnosis was performed with the 4AT (4 A’s test). Patients were then included in the categories of "early" or "slow" diagnosis (cut-off: four hours) depending on the time between sentinel symptom observation and the final diagnosis of delirium.

Results: Among 503 admitted patients, 95 developed delirium. Confusion was the most frequent sentinel symptom (49.5%). The early diagnosis was more frequent in hospice than in home care (p-value<0.0001). Delirium was positively resolved in 43 patients, of which 25 with an early diagnosis (p-value=0.038). Time to resolution was shorter in the case of early diagnosis (7.1 vs. 13.7 hours in hospice patients; p-value=0.018). Palliative sedation was performed on 25 patients, but only 8 of them had an early diagnosis.

Conclusion: Time of diagnosis was important in determining the clinical outcomes of patients in charge of PCU who experienced delirium. The early diagnosis reduced both mortality and the necessity of palliative sedation.

Identification through the Manchester Triage System of the older population at risk of delirium: A case-control study

OBJECTIVE

To identify the flow charts and discriminators of the Manchester Triage System that are most likely to identify the onset of delirium in older people.

BACKGROUND

Delirium is an underdiagnosed geriatric syndrome, and up to 80% of all cases of delirium go undetected in emergency departments. Patient triage seeks to manage clinical risk with a view to safely and appropriately managing patient flows.

DESIGN

A case-control study was performed according to the STROBE checklist.

SETTING

The emergency department of a secondary hospital.

PARTICIPANTS

Older adults aged ≥65 years and admitted from 1 January to 31 December 2020.

METHODS

Older patients were identified from the emergency department research database. Cases were defined as patients diagnosed with delirium (n = 128), excluding cases of delirium due to alcohol or substance abuse. Controls were randomised from the remaining patients (n = 128).

RESULTS

A total of 29.35% of the subjects admitted to the emergency department were older adults with an incidence of delirium of 0.7%. The flow charts with the highest probability of delirium were 'unwell adult' [OR = 3.04 (95%CI:1.82-5.1)] and 'behaving strangely' [OR = 16.06 (95%CI:3.72-69.29)], and the discriminators were 'rapid onset' [OR = 3.3 (95%CI:1.85-5.88)] and 'new neurological deficit less than 24 h old' [OR = 4.76 (95%%CI:1.01-22.5). The area under the curve for 'unwell adult' in the presence of dementia, previous stroke and fall in the previous 30 days was 0.73 (95%CI: 0.67-0.79), and that for 'behaving strangely' in the presence of diabetes was 0.75 (95%CI: 0.69-0.81).

CONCLUSIONS

Knowing which flow charts, discriminators and risk factors are most likely to predict delirium allows the identification of the older population at risk for triage screening in emergency departments.

RELEVANCE TO CLINICAL PRACTICE

Risk factors such as diabetes, dementia, previous stroke and recent fall among 'unwell adult' or 'behaving strangely' triaged older persons should be assessed for the probable presence of delirium.

Potential neurological manifestations of COVID-19: a narrative review

Neurological manifestations are increasingly reported in a subset of COVID-19 patients. Previous infections related to coronaviruses, namely Severe Acute Respiratory Syndrome (SARS) and Middle Eastern Respiratory Syndrome (MERS) also appeared to have neurological effects on some patients. The viruses associated with COVID-19 like that of SARS enters the body via the ACE-2 receptors in the central nervous system, which causes the body to balance an immune response against potential damage to nonrenewable cells. A few rare cases of neurological sequelae of SARS and MERS have been reported. A growing body of evidence is accumulating that COVID-19, particularly in severe cases, may have neurological consequences although respiratory symptoms nearly always develop prior to neurological ones. Patients with preexisting neurological conditions may be at elevated risk for COVID-19-associated neurological symptoms. Neurological reports in COVID-19 patients have described encephalopathy, Guillain-Barré syndrome, myopathy, neuromuscular disorders, encephalitis, cephalgia, delirium, critical illness polyneuropathy, and others. Treating neurological symptoms can pose clinical challenges as drugs that suppress immune response may be contraindicated in COVID-19 patients. It is possible that in some COVID-19 patients, neurological symptoms are being overlooked or misinterpreted. To date, neurological manifestations of COVID-19 have been described largely within the disease trajectory and the long-term effects of such manifestations remain unknown.

Delirium as a Presenting Symptom of COVID-19

Delirium is a common neurologic manifestation of coronavirus disease 2019 (COVID–19) in older adults who present to the emergency department (ED).

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

OBJECTIVE

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.

METHODS

This was an observational study of older adults age ≥ 75 years 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).

RESULTS

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%).

CONCLUSION

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.

Machine learning-assisted screening for cognitive impairment in the emergency department

BACKGROUND/OBJECTIVES

Despite a high prevalence and association with poor outcomes, screening to identify cognitive impairment (CI) in the emergency department (ED) is uncommon. Identification of high-risk subsets of older adults is a critical challenge to expanding screening programs. We developed and evaluated an automated screening tool to identify a subset of patients at high risk for CI.

METHODS

In this secondary analysis of existing data collected for a randomized control trial, we developed machine-learning models to identify patients at higher risk of CI using only variables available in electronic health record (EHR). We used records from 1736 community-dwelling adults age > 59 being discharged from three EDs. Potential CI was determined based on the Blessed Orientation Memory Concentration (BOMC) test, administered in the ED. A nested cross-validation framework was used to evaluate machine-learning algorithms, comparing area under the receiver-operator curve (AUC) as the primary metric of performance.

RESULTS

Based on BOMC scores, 121 of 1736 (7%) participants screened positive for potential CI at the time of their ED visit. The best performing algorithm, an XGBoost model, predicted BOMC positivity with an AUC of 0.72. With a classification threshold of 0.4, this model had a sensitivity of 0.73, a specificity of 0.64, a negative predictive value of 0.97, and a positive predictive value of 0.13. In a hypothetical ED with 200 older adult visits per week, the use of this model would lead to a decrease in the in-person screening burden from 200 to 77 individuals in order to detect 10 of 14 patients who would fail a BOMC.

CONCLUSION

This study demonstrates that an algorithm based on EHR data can define a subset of patients at higher risk for CI. Incorporating such an algorithm into a screening workflow could allow screening efforts and resources to be focused where they have the most impact.

Exploring communication difficulties with deaf patients

One in five people in the UK are deaf, with hearing loss affecting more than 70% of people over the age of 70. Despite this being a higher prevalence than asthma, heart disease or diabetes, deaf people experience persistent health inequalities with poorer experiences and outcomes in disease prevention and management. Clear communication and patient engagement with health are key to better outcomes. Nonetheless, there exist cultural, educational and organisational barriers when addressing communication with patients with hearing loss.Foundation doctors have regular and prolonged contact with their patients, and often feel underprepared when interacting with patients with hearing loss. This article aims to highlight these communication barriers and suggest changes for improvement.Improvement will require adaptations from both individual and organisational perspectives, with patient care as a clear focus for change.

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

OBJECTIVE

Delirium 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.

METHODS

This 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.

RESULTS

A 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).

CONCLUSION

In 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.

Barriers and facilitators to nursing delirium screening in older emergency patients: a qualitative study using the theoretical domains framework

BACKGROUND

delirium is common in older emergency department (ED) patients, but vastly under-recognised, in part due to lack of standardised screening processes. Understanding local context and barriers to delirium screening are integral for successful implementation of a delirium screening protocol.

OBJECTIVES

we sought to identify barriers and facilitators to delirium screening by nurses in older ED patients.

METHODS

we conducted 15 semi-structured, face-to-face interviews based on the Theoretical Domains Framework with bedside nurses, nurse educators and managers at two academic EDs in 2017. Two research assistants independently coded transcripts. Relevant domains and themes were identified.

RESULTS

a total of 717 utterances were coded into 14 domains. Three dominant themes emerged: (i) lack of clinical prioritisation because of competing demands, lack of time and heavy workload; (ii) discordance between perceived capabilities and knowledge and (iii) hospital culture.

CONCLUSION

this qualitative study explored nursing barriers and facilitators to delirium screening in older ED patients. We found that delirium was recognised as an important clinical problem; however, it was not clinically prioritised; there was a false self-perception of knowledge and ability to recognise delirium and hospital culture was a strong influencer of behaviour. Successful adoption of a delirium screening protocol will only be realised if these issues are addressed.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Diagnostic accuracy and clinical applicability of the Swedish version of the 4AT assessment test for delirium detection, in a mixed patient population and setting

BACKGROUND

Delirium is common in older hospitalized patients. It has serious consequences e.g., poor health outcomes, mortality and increased costs. Despite that, many cases are undetected. Early detection of delirium is important in improving outcomes and use of assessment tools improves detection rates. The 4AT is a brief screening tool for delirium detection, which has not previously been translated into Swedish. The study aim was to evaluate diagnostic accuracy and clinical applicability of a Swedish version of the screening tool 4AT for delirium detection.

METHOD

This diagnostic test accuracy study used a quantitative and a qualitative approach and evaluated the patients' and the health care professionals' experiences of the tool. Study included 200 patients ≥65 years from a university hospital and a county hospital in two Swedish regions. Medical specialties were geriatric stroke/neurology, geriatric multimorbidity, severe cognitive impairment, orthopaedic, and urology. The translated 4AT was tested against the reference standard DSM-IV-TR criteria, based on the Organic Brain Syndrome scale and patient records. The 4AT was assessed simultaneously and independently by two assessors. Additionally, data was collected through patient record reviews, and questions about applicability to the patients (n = 200) and the assessors (n = 37). Statistical analyses, and qualitative content analyses were conducted.

RESULTS

By reference standard 18% had delirium, and by 4AT 19%. The overall percent agreement was 88%, AUROC 0.808, sensitivity 0.70 (95% CI 0.51-0.84) and specificity 0.92 (95% CI 0.87-0.96). In the ward for severe cognitive impairment (n = 63) the 4AT was less sensitive and less specific. In the other wards (n = 132) sensitivity was 0.77 (95% CI 0.50-0.93), specificity 0.93 (95% CI 0.87-0.97), and AUROC 0.848. Interrater reliability (Kappa) was 0.918, p = < 0.001 (n = 144). The 4AT was well tolerated by patients, easy to use for health care professionals, and took a few minutes to conduct.

CONCLUSION

The Swedish version of 4AT is an accurate and applicable tool to use in clinical practice for detecting delirium in hospitalized patients across different medical specialities, and to use by different professionals and levels of seniority. To improve patient outcomes, we recommend the 4AT to be incorporated in clinical practice in health care settings in Sweden.

Development and validation of a delirium risk assessment tool in older patients admitted to the Emergency Department Observation Unit

BACKGROUND

Delirium is frequent though undetected in older patients admitted to the Emergency Department (ED).

AIMS

To develop and validate a delirium risk assessment tool for older persons admitted to the ED Observation Unit (OU).

METHODS

We used data from two samples of 65 + year-old patients, one admitted to the ED of Brescia Hospital (n = 257) and one to the ED of Desio Hospital (n = 107), Italy. Data from Brescia were used as training sample, those collected in Desio as testing one. Delirium was assessed using the 4AT and patients' characteristic were retrieved from medical charts. Variables found to be associated with delirium in the training sample were tested for the creation of a delirium risk assessment tool. The resulting tool's performances were assessed in the testing subsample.

RESULTS

Of all possible scores tested, the combination with the highest discriminative ability in the training sample included: age ≥ 75 years, dementia diagnosis, chronic use of neuroleptics, and hearing impairment. The delirium score exhibited an AUC of 0.874 and 0.893 in the training and testing samples, respectively. For a 1-point increase in the score, the odds of delirium increased more than twice in both samples.

DISCUSSION

We propose a delirium risk assessing tool that includes variables that can be easily collected at ED admission and that can be calculated rapidly.

CONCLUSION

A risk assessment tool could help improving delirium detection in older persons referring to ED.

Biomarkers in delirium: A systematic review

BACKGROUND

Delirium is a common neuropsychiatric disorder associated with prolonged hospital stays, and increased morbidity and mortality. Diagnosis is frequently missed due to varying disease presentation and lack of standardized testing. We examined biomarkers as diagnostic or prognostic indicators of delirium, and provide a rational basis for future studies.

METHOD

Systematic review of literature published between Jan 2000 and June 2019. Searches included: PubMed; Web of Science; CINAHL; EMBASE; COCHRANE and Medline. Additional studies were identified by searching bibliographies of eligible articles.

RESULTS

2082 relevant papers were identified from all sources. Seventy-three met the inclusion criteria, all of which were observational. These assessed a range of fourteen biomarkers. All papers included were in the English language. Assessment methods varied between studies, including: DSM criteria; Confusion Assessment Method (CAM) or CAM-Intensive Care Unit (ICU). Delirium severity was measured using the Delirium Rating Scale (DRS). Delirium was secondary to post-operative dysfunction or acute medical conditions.

CONCLUSION

Evidence does not currently support the use of any one biomarker. However, certain markers were associated with promising results and may warrant evaluation in future studies. Heterogeneity across study methods may have contributed to inconclusive results, and more clarity may arise from standardization of methods of clinical assessment. Adjusting for comorbidities may improve understanding of the pathophysiology of delirium, in particular the role of confounders such as inflammation, cognitive disorders and surgical trauma. Future research may also benefit from inclusion of other diagnostic modalities such as EEG as well as analysis of genetic or epigenetic factors.

Factors for Timely Identification of Possible Occurrence of Delirium in Palliative Care: A Prospective Observational Study

Delirium occurs in 50–80% of end-of-life patients but is often misdiagnosed. Identification of clinical factors potentially associated with delirium onset can lead to a correct early diagnosis. To this aim, we conducted a prospective cohort study on patients from an Italian palliative care unit (PCU) admitted in 2018–2019. We evaluated the presence of several clinical factors at patient admission and compared their presence in patients who developed delirium and in those who did not develop it during follow-up. Among 503 enrolled patients, after a median follow-up time of 16 days (interquartile range 6–40 days), 95 (18.9%) developed delirium. Hazard ratios (HR) and corresponding 95% confidence intervals were computed using Cox proportional hazard models. In univariate analyses, factors significantly more frequent in patients with delirium were care in hospice, compromised performance status, kidney disease, fever, renal failure, hypoxia, dehydration, drowsiness, poor well-being, breathlessness, and “around the clock” therapy with psychoactive drugs, particularly haloperidol. In multivariate analyses, setting of care (HR 2.28 for hospice versus home care, 95% CI 1.45–3.60; p < 0.001), presence of breathlessness (HR 1.71, 95% CI 1.03–2.83, p = 0.037), and administration of psychoactive drugs, particularly haloperidol (HR 2.17 for haloperidol, 95% CI 1.11–4.22 and 1.53 for other drugs, 95% CI 0.94–2.48; p = 0.048) were significantly associated with the risk of developing delirium. The study indicates that some clinical factors are associated with the probability of delirium onset. Their evaluation in PC patients could help healthcare professionals to identify the development of delirium in those patients in a timely manner.

A prospective cohort study on predictors of mortality of delirium in an emergency observational unit

BACKGROUND

Delirium is often an underdiagnosed and underestimated neuropsychiatric syndrome, especially in low- and middle-income countries.

AIM

To document the prevalence and clinical profile of delirium and to detect the baseline parameters associated with in-hospital mortality.

DESIGN

A prospective cohort study conducted between January 2016 to December 2016 at an adult medical emergency observational unit of an academic hospital in north India.

METHODS

Confusion Assessment Method for the intensive care unit was used for screening and diagnosis of delirium. Subtypes of delirium and severity were defined with the Richmond agitation-sedation scale and Delirium Rating Scale-Revised-98 (DRS-R-98).

RESULTS

Out of 939 screened patients, 312 (33.2%) had delirium, including 73.7% unrecognized cases. The mean age was 49.1 ± 17.3 years (range 17-90), and only 33.3% of the patients were above 60 years. The prevalence of hypoactive, mixed and hyperactive delirium was 39.1, 33.7 and 27.2%, respectively. Usual predisposing factors were alcohol use disorder (57.4%) and hypertension (51.0%), and infections remain the most common precipitating factors (42.0%). In total, 96.1% of patients received midazolam before delirium onset, and physical restraints were used in 73.4%. Mortality was higher in delirium (19.9% vs. 6.4%). The independent predictors of death in delirium were low diastolic blood pressure (P-value = 0.000), Glasgow coma scale score <15 (P = 0.026), high Acute Physiology and Chronic Health Evaluation II score (P = 0.007), high DRS-R-98 severity score (P = 0.000) and hyperactive delirium (P = 0.024).

CONCLUSION

Rapid screening with Confusion Assessment Method for the intensive care unit detected a high prevalence of delirium (even in young patients), and it associated with high mortality.

Delirium Severity Trajectories and Outcomes in ICU Patients. Defining a Dynamic Symptom Phenotype

Rationale: Delirium severity and duration are independently associated with higher mortality and morbidity. No studies to date have described a delirium trajectory by integrating both severity and duration.Objectives: The primary aim was to develop delirium trajectories by integrating symptom severity and duration. The secondary aim was to investigate the association among trajectory membership, clinical characteristics, and 30-day mortality.Methods: A secondary analysis of the PMD (Pharmacologic Management of Delirium) randomized control trial (ClinicalTrials.gov Identifier: NCT00842608; N = 531) was conducted. The presence of delirium and symptom severity were measured at least daily for 7 days using the Confusion Assessment Method for the intensive care unit (CAM-ICU) and CAM-ICU-7 (on a scale of 0-7, with 7 being the most severe). Delirium trajectories were defined using an innovative, data-driven statistical method (group-based trajectory modeling [GBTM]) and SAS v9.4.Results: A total of 531 delirious participants (mean age 60 yr [standard deviation = 16], 55% female, and 46% African American) were analyzed. Five distinct delirium trajectories were described (CAM-ICU-7: mean [standard deviation]); mild-brief (CAM-ICU-7: 0.5 [0.5]), severe-rapid recovers (CAM-ICU-7: 2.1 [1.0]), mild-accelerating (CAM-ICU-7: 2.2 [0.9]), severe-slow recovers (CAM-ICU-7: 3.9 [0.9]), and severe-nonrecovers (CAM-ICU-7: 5.9 [1.0]). Baseline cognition and race were associated with trajectory membership. Trajectory membership independently predicted 30-day mortality while controlling for age, sex, race, cognition, illness severity, and comorbidities.Conclusions: This secondary analysis described five distinct delirium trajectories based on delirium symptom severity and duration using group-based trajectory modeling. Trajectory membership predicted 30-day mortality.