Detecting Incident Delirium within Routinely Collected Inpatient Rehabilitation Data: Validation of a Chart-Based Method

Background: Delirium is a brain condition associated with poor outcomes in rehabilitation. It is therefore important to assess delirium incidence in rehabilitation. Purpose: To develop and validate a chart-based method to identify incident delirium episodes within the electronic database of a Swiss rehabilitation clinic, and to identify a study population of validated incident delirium episodes for further research purposes. Design: Retrospective validation study. Settings: Routinely collected inpatient clinical data from ZURZACH Care. Participants: All patients undergoing rehabilitation at ZURZACH Care, Rehaklinik Bad Zurzach between 2015 and 2018 were included. Methods: Within the study population, we identified all rehabilitation stays for which ≥2 delirium-predictive key words (common terms used to describe delirious patients) were recorded in the medical charts. We excluded all prevalent delirium episodes and defined the remaining episodes to be potentially incident. At least two physicians independently confirmed or refuted each potential incident delirium episode by reviewing the patient charts. We calculated the positive predictive value (PPV) with 95% confidence interval (95% CI) for all potential incident delirium episodes and for specific subgroups. Results: Within 10,515 rehabilitation stays we identified 554 potential incident delirium episodes. Overall, 125 potential incident delirium episodes were confirmed by expert review. The PPV of the chart-based method varied from 0.23 (95% CI 0.19–0.26) overall to 0.69 (95% CI 0.56–0.79) in specific subgroups. Conclusions: Our chart-based method was able to capture incident delirium episodes with low to moderate accuracy. By conducting an additional expert review of the medical charts, we identified a study population of validated incident delirium episodes. Our chart-based method contributes towards an automated detection of potential incident delirium episodes that, supplemented with expert review, efficiently yields a validated population of incident delirium episodes for research purposes.

Postoperative delirium screening tools for post-anaesthetic adult patients in non-intensive care units: A systematic review and meta-analysis

AIMS AND OBJECTIVES

To identify the most accurate postoperative delirium screening tools for detecting postoperative delirium among patients who underwent general anaesthesia surgery in general wards.

BACKGROUND

The lack of detection of postoperative delirium can negatively affect the patient's condition, along with their postoperative treatment and rehabilitation, and it can prolong their hospitalisation, persists cognitive dysfunction and increases mortality. Screening for postoperative delirium in hospitalised patients as nursing assessment is routine clinical practice for early detection.

DESIGN

A systematic review and meta-analysis.

METHODS

MEDLINE, Embase, CINAHL, KoreaMed and Cochrane electronic databases were searched using the key words delirium, postoperative, assessment or screening, and adult for articles published up to April 2020, with no limit on the year of publishing. Only prospective cohort studies reporting sensitivity and specificity values were included. We followed the recommendations of the Cochrane Handbook of Diagnostic Test Accuracy Reviews and the PRISMA checklist. The Quality Assessment of the Diagnostic Accuracy Studies-2 tool was used for data extraction and quality assessment, while a bivariate random-effects meta-analysis model was used for pooling and comparing diagnostic accuracy and providing a summary of evidence.

RESULTS

Six delirium assessment tools were evaluated from nine papers including 3088 patients. Due to the limited number of papers, the meta-analysis included the Confusion Assessment Method (CAM) and its variants, Delirium Detection Score (DDS) and Nurses' Delirium Screening Checklist (NuDESC). Overall, NuDESC demonstrated higher sensitivity than CAM or DDS, while all showed high specificity (0.90 or greater).

CONCLUSION

This review suggested that NuDESC can be employed as an accurate screening tool with high specificity for assessing postoperative delirium during routine checkups. However, it is necessary to consider suitable cut-off values, which is the reference point, in accordance with the clinical setting and the patients' condition.

RELEVANCE TO CLINICAL PRACTICE

NuDESC reported the best evidence of diagnostic accuracy, and we recommend clinical nurses to employ this easy-to-use and validated tool for daily screening of postoperative delirium in general wards to facilitate its early detection and the accurate estimation of its prevalence.

ICU delirium burden predicts functional neurologic outcomes

Background

We investigated the effect of delirium burden in mechanically ventilated patients, beginning in the ICU and continuing throughout hospitalization, on functional neurologic outcomes up to 2.5 years following critical illness.

Methods

Prospective cohort study of enrolling 178 consecutive mechanically ventilated adult medical and surgical ICU patients between October 2013 and May 2016. Altogether, patients were assessed daily for delirium 2941days using the Confusion Assessment Method for the ICU (CAM-ICU). Hospitalization delirium burden (DB) was quantified as number of hospital days with delirium divided by total days at risk. Survival status up to 2.5 years and neurologic outcomes using the Glasgow Outcome Scale were recorded at discharge 3, 6, and 12 months post-discharge.

Results

Of 178 patients, 19 (10.7%) were excluded from outcome analyses due to persistent coma. Among the remaining 159, 123 (77.4%) experienced delirium. DB was independently associated with >4-fold increased mortality at 2.5 years following ICU admission (adjusted hazard ratio [aHR], 4.77; 95% CI, 2.10–10.83; P < .001), and worse neurologic outcome at discharge (adjusted odds ratio [aOR], 0.02; 0.01–0.09; P < .001), 3 (aOR, 0.11; 0.04–0.31; P < .001), 6 (aOR, 0.10; 0.04–0.29; P < .001), and 12 months (aOR, 0.19; 0.07–0.52; P = .001). DB in the ICU alone was not associated with mortality (HR, 1.79; 0.93–3.44; P = .082) and predicted neurologic outcome less strongly than entire hospital stay DB. Similarly, the number of delirium days in the ICU and for whole hospitalization were not associated with mortality (HR, 1.00; 0.93–1.08; P = .917 and HR, 0.98; 0.94–1.03, P = .535) nor with neurological outcomes, except for the association between ICU delirium days and neurological outcome at discharge (OR, 0.90; 0.81–0.99, P = .038).

Conclusions

Delirium burden throughout hospitalization independently predicts long term neurologic outcomes and death up to 2.5 years after critical illness, and is more predictive than delirium burden in the ICU alone and number of delirium days.

What you need to know about: delirium in older adults in hospital

Delirium is a clinical syndrome characterised by a disturbance of perception, consciousness and/or cognitive function, with an acute onset, fluctuating course and a severe deterioration arising over hours or days. Delirium is usually triggered by a combination of influences including acute illness, surgery, drugs and environmental factors. It is commonly seen in older people presenting to hospital, but can also develop during hospitalisation. There are three types of delirium: hypoactive, hyperactive and mixed. All patients over 65 years old presenting to hospital should be screened for delirium using the '4AT' tool. An alternate method for diagnosing hospital-acquired delirium is described. This article outlines a 10-stage method for diagnosing, managing and preventing delirium, with emphasis on which areas of the history and examination should be prioritised, what the salient investigations are and both non-pharmacological and pharmacological approaches to preventing and treating delirium. Finally, this article explores which patients require specialist referrals or investigations and how to best follow up patients with delirium.

Evaluation of the 3-Minute Diagnostic Confusion Assessment Method for Identification of Postoperative Delirium in Older Patients

IMPORTANCE

Delirium is a common postoperative complication in older patients that often goes undetected and might lead to worse outcomes. The 3-Minute Diagnostic Confusion Assessment Method (3D-CAM) might be a practical tool for routine clinical diagnosis of delirium.

OBJECTIVE

To assess the 3D-CAM for detecting postoperative delirium compared with the long-form CAM used for research purposes.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study of older patients enrolled in ongoing clinical trials between 2015 and 2018 was conducted at a single tertiary US hospital. Included participants were aged 60 years or older undergoing major elective surgical procedures that required at least a 2-day hospital stay. Data were analyzed between February and April 2019.

EXPOSURES

Surgical procedures of at least 2 hours in length requiring general anesthesia with planned extubation.

MAIN OUTCOMES AND MEASURES

Patients were concurrently assessed for delirium using the 3D-CAM assessment and the long-form CAM, scored based on a standardized cognitive assessment. Agreement between these 2 methods was tested using Cohen κ with repeated measures, a generalized linear mixed-effects model, and Bland-Altman analysis.

RESULTS

Sixteen raters conducted 471 concurrent CAM and 3D-CAM interviews including 299 patients (mean [SD] age, 69 [6.5] years), the majority of whom were men (152 [50.8%]), were White (263 [88.0%]), and had noncardiac operations (211 [70.6%]). Both instruments had good intraclass correlation (0.84 for the CAM and 0.98 for the 3D-CAM). Cohen κ demonstrated good overall agreement between the CAM and 3D-CAM (κ = 0.71; 95% CI, 0.58 to 0.83). According to the mixed-effects model, there was statistically significant disagreement between the 3D-CAM and CAM (estimated difference in fixed effect, -0.68; 95% CI, -1.32 to -0.05; P = .04). Bland-Altman analysis showed the probability of a delirium diagnosis with the 3D-CAM was more than twice the probability of a delirium diagnosis with the CAM (probability ratio, 2.78; 95% CI, 2.44 to 3.23).

CONCLUSIONS AND RELEVANCE

The 3D-CAM instrument demonstrated agreement with the long-form CAM and might provide a pragmatic and sensitive clinical tool for detecting postoperative delirium, with the caveat that the 3D-CAM might overdiagnose delirium.

Screening and Assessment Tools for Measuring Delirium in Patients with Cancer in Hospice and Palliative Care: A Systematic Review

Purpose

This study reviewed screening and assessment tools that are used to measure delirium in patients with cancer in hospice and palliative care settings and examined their psychometric properties.

Methods

Four databases were searched for studies using related search terms (delirium, tools, palliative care, cancer, and others). The inclusion criteria were a) studies that included screening/assessment tools for measuring delirium in cancer patients receiving hospice/palliative care, and b) studies published in English or Korean. The exclusion criteria were a) studies that were conducted in an intensive care setting, and b) case studies, qualitative studies, systematic reviews, or meta-analyses.

Results

Out of the 81 studies identified, only 10 examined the psychometric properties of tools for measuring delirium, and 8 tools were ultimately identified. The psychometric properties of the Memorial Delirium Assessment Scale (MDAS) were the most frequently examined (n=5), and the MDAS showed good reliability, concurrent validity, and diagnostic accuracy. The Delirium Rating Scale had good reliability and diagnostic accuracy. The Delirium Rating Scale-Revised 98 also showed good reliability and structural validity, but its diagnostic performance was not examined in hospice/palliative care settings. The Nursing Delirium Screening Scale showed relatively low diagnostic accuracy.

Conclusion

The MDAS showed evidence of being a valid assessment tool for assessing delirium in patients with cancer in palliative care. Few studies examined the diagnostic performance of delirium tools. Therefore, further studies are needed to examine the diagnostic performance of screening/assessment tools for the optimal detection of delirium in patients with cancer in hospice/palliative care.

Delirium in Palliative Care

Simple Summary

Delirium is a generalized cerebral dysfunction that occurs frequently near the end of life. In palliative care, delirium is frequently a sign of impending death; it is distressing for patients, families, and caregivers; and the goals of management, assessment, and treatment are controversial. We provide an update on these topics mainly focusing on patients with cancer.

Abstract

Delirium, a widespread neuropsychiatric disorder in patients with terminal diseases, is associated with increased morbidity and mortality, profoundly impacting patients, their families, and caregivers. Although frequently missed, the effective recognition of delirium demands attention and commitment. Reversibility is frequently not achievable. Non-pharmacological and pharmacological interventions are commonly used but largely unproven. Palliative sedation, although controversial, should be considered for refractory delirium. Psychological assistance should be available to patients and their families at all times.

Approach to Altered Mental Status and Inpatient Delirium

Altered mental status is a nonspecific diagnosis that encompasses a wide spectrum of disease and is frequently cited as a reason for both hospital admission and inpatient neurologic consultation. There are numerous etiologies of altered mental status, and so although many are facile with the workup of this potentially life-threatening entity, it can nevertheless be overwhelming. Our goal was to provide a practical framework embedded in a current, comprehensive review of the epidemiology, clinical evaluation, and management of undifferentiated altered mental status. We pay particular attention to the management of a critical yet underdiagnosed subtype of altered mental status: delirium.

Barriers to completing the 4AT for delirium and its clinical implementation in two hospitals: a mixed-methods study

Aim

To assess the clinical implementation and barriers to completing the 4AT for delirium in general medical and geriatric patients over 75 years upon admission to Wellington and Kenepuru Hospitals.

Findings

The 4AT is a feasible and sustainable tool for the assessment of delirium in the hospital setting. Most of the identified barriers to completing the 4AT are potentially reversible.

Message

Implementation of the 4AT may improve through education about these barriers and emphasising its validity in specific groups.

Purpose

To assess the clinical implementation and barriers to completing the 4AT for delirium in general medical and geriatric patients over 75 years upon admission to Wellington and Kenepuru Hospitals during the first eight months of 2017, 2018 and 2019.

Methods

Retrospective data from electronic health records were analysed using an explanatory-sequential mixed-methods approach. The initial quantitative phase measured doctors’ adherence to the 4AT and the rate of positive 4ATs (≥ 4). The subsequent qualitative phase identified doctors’ main reasons for omitting the 4AT through conventional content analysis.

Results

The quantitative population included 7799 acute admissions (mean age 84, 58.2% female). There was good clinical implementation of the 4AT, evidenced by an overall adherence rate of 83.2% and a rate of positive 4ATs of 14.8% that is in keeping with expected delirium rates in similar settings. The qualitative sample consisted of 875 acute admissions (mean age 84, 56.3% female) with documented reasons for omitting the 4AT. The main barriers to completing the 4AT were: reduced patient alertness, communication barriers (language, deafness, aphasia and dysarthria), prioritising patients’ wellness and comfort (addressing critical illnesses, symptoms, end-of-life issues and promoting sleep), pre-existing cognitive disorders, and unstructured delirium assessments.

Conclusion

Adherence to the 4AT was high and sustainable in both hospitals. Most barriers to completing the 4AT were potentially avoidable. Education about the 4AT in relation to these barriers may improve its implementation.

Using the nursing delirium screening scale in assessing postoperative delirium: A meta-regression

The nursing delirium screening scale (Nu-DESC) was developed for the rapid assessment of delirium, but little is known regarding the performance of the Nu-DESC in assessing postoperative delirium. The purpose of this systematic review and meta-analysis was to review and summarize the evidence of the diagnostic accuracy of the Nu-DESC in assessing postoperative delirium. The EMBASE, MEDLINE, Cochrane Library, CINAHL, and a Chinese e-Journal database were searched from the period of the inception of the Nu-DESC to June 18, 2020. Participants were adult (age ≥ 18 years) postoperative patients who received any type of surgery and any method of anesthesia. The quality assessment of diagnostic accuracy studies-2 was employed to assess the risk of bias among the selected studies, and meta-regression analyses were used to detect sources of between-study heterogeneity. Eleven studies involving 2062 postoperative patients in surgical settings were included. The Nu-DESC revealed a pooled sensitivity of 0.73 (95% confidence interval, 0.44-0.90) and a specificity of 0.93 (0.87-0.96). The area under the summary receiver operating characteristics curve was 0.94 (0.91-0.96), which also confirmed the accuracy of the Nu-DESC. Covariates, including the region of study and the standard reference used, were identified as possible sources of heterogeneity in the meta-regression. The findings of this review can update existing clinical guidelines for postoperative delirium. On the basis of its satisfactory diagnostic performance, we suggest that the Nu-DESC could be considered for nurses and allied health professionals for assessing postoperative delirium. However, because of the heterogeneity, the result of this meta-analysis should be considered with caution.

Diagnosis and Risk Factors for Delirium in Elderly Patients in the Emergency Rooms and Intensive Care Unit of the National Geriatric Hospital Emergency Department: A Cross-Sectional Observational Study

Purpose

To diagnose delirium and identify risk factors for its development in elderly patients in the emergency department (ED) and intensive care units (ICU) at the National Geriatric Hospital (Vietnam).

Patients and Methods

A cross-sectional observational study was conducted with a convenience sample of non-surgical patients admitted to ED and ICU at Hanoi National Geriatric Hospital in Vietnam. In total, 163 patients met the selection criteria and were included in the study. Screening involved using the Confusion Assessment Method (CAM) and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). The diagnosis was established according to the DSM-5 and ICD-10 codes.

Results

Delirium was found in a total of 106 (63.1%) patients. The factors significantly affecting its development were vision impairment (OR, 3.3; 95% CI, 1.5 to 7.4, P=0.003), hearing impairment (OR, 3.6; 95% CI, 1.77 to 7.36, P=0.0001), acute or chronic kidney failure (OR, 7.1; 95% CI, 2.05 to 6.39, P<0.001), respiratory disorders (OR, 2.7; 95% CI, 1.4 to 5.2, P=0.004), and malnutrition (OR, 9.17; 95% CI, 3.43–24.5, P=0.0001). The list also include the fall risk factors (OR, 12.2; 95% CI, 4.1–36.3, P=0.0001), frailty (OR, 8.35; 95% CI, 3.4–20.6, P=0.0001), activities of daily living (OR, 8.35; 95% CI, 3.4–20.6, P=0.0001), hyponatremia (OR, 2.48; 95% CI, 1.07 to 5.75, P=0.001), hypernatremia (OR, 13.1; 95% CI, 1.67 to 2.5, P=0.001), and treatment interventions. In addition, delirium was linked to the duration of ICU admission (OR, 6.53; 95% CI, 4.5–25.5, P < 0.0001).

Conclusion

The CAM/CAM-ICU diagnostic algorithm makes it possible to diagnose delirium successfully. The present study confirmed the role of several premorbid and triggering factors in the occurrence of delirium in elderly patients in ED and ICU. There is a need for further research into risk factors for delirium in elderly patients.

A delirium prevalence audit and a pre and post evaluation of an interprofessional education intervention to increase staff knowledge about delirium in older adults

Background

Delirium is more prevalent in older people and estimated to occur in up to 50% of the hospital population. Delirium comprises a spectrum of behaviours, including cognitive and attention deficits, and fluctuating levels of consciousness, often associated with an underlying physiological disturbance. Delirium has been increasingly associated with adverse outcomes. Although often preventable or can at least be mitigated, delirium may not be a standard part of assessment and thus may not be recognized in the early stages when it is most likely to be treated successfully. The aim of this study was to evaluate the level of knowledge of delirium amongst clinicians caring for patients at high risk of developing delirium and to determine whether education can improve clinical assessment of delirium.

Methods

Two hundred and forty-six case notes were audited before and 149 were reviewed after the education intervention and implementation of a delirium screening tool. Clinicians at the hospital were invited to complete a questionnaire on knowledge of delirium. The questionnaire was based on a validated tool which contained 39 questions about delirium. The questionnaire also contained 28 questions on delirium knowledge. Additional questions were included to gather demographic information specific to the hospital. Descriptive statistics, chi square and independent t-tests were conducted to test for differences in knowledge between the pre and post periods. The Squire Checklist Reporting Guidelines for Quality Improvement Studies informed the preparation of the manuscript.

Results

The audit demonstrated that the use of a cognitive assessment tool overall increased from 8.5% in pre education to 43% in the post education period. One hundred and fifty-nine staff completed the questionnaire in total, 118 the pre and 41 post. The knowledge subscale score was high pre and post education and no statistically significant difference was observed. The greatest increase in knowledge was related to knowledge of the risk factors subscale. The increase in knowledge (6.8%) was statistically significant.

Conclusion

An interprofessional approach to delirium education was effective in not only increasing awareness of the factors associated with this syndrome but also increased the use of a delirium assessment tool.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12912-021-00692-2.

Postoperative delirium following total joint arthroplasties in a multi-ethnic population - A prospective observational study

BACKGROUND

Postoperative delirium (POD) is a cause of poorer patient outcomes following total joint arthroplasties (TJA). However, it often goes undiagnosed. Although various risk factors have been documented, study heterogeneity leads to poor understanding within a South East Asian population. This study aims to evaluate POD within this demographic and elucidate its risk factors.

METHODS

This was a single-centre prospective observational study comprising 462 patients. Inclusion criteria was patients 65-90 years old undergoing elective TJA. Exclusion criteria was patients unable to personally provide consent for TJA. Preoperative, intraoperative, and postoperative data was recorded to analyse treatment pathway factors. Patients were assessed for POD twice daily for 3 days after TJA using the Confusion Assessment Method (CAM).

RESULTS

Mean age of the study cohort was 72 ± 5 years; 70.1% were female; and mean MMSE score preoperatively was 27.3 ± 3.3. 419 patients underwent total knee arthroplasty (TKA) and 43 patients underwent total hip arthroplasty (THA). 164 patients received general anaesthesia, and 298 patients received regional anaesthesia. Overall, 0% (0/462) of patients tested positive for POD at any postoperative timepoint. While various CAM components were met, no patients were positive for the complete requisite criteria for POD diagnosis.

CONCLUSION

We report zero incidence of POD in 462 patients who underwent elective TJA in our institution. We believe that our streamlined care process including pre-operative assessment, patient-specific anaesthesia regime as well as a strictly administered inpatient clinical care pathway with opioid-reducing strategy and early mobilization are protective factors against POD.

Delirium and Its Pharmacological Causes in Older People, Part 1

Delirium is a syndrome that can arise from many causes or underlying conditions, and though it has been reported in younger patients, it is more prevalent in older people, though it can occur in other age groups as well. Identifying delirium is challenging in older people because of the coexistence of underlying dementia or depression, which may further complicate the presentation. Drug-induced delirium is one of the major causes of delirium, and evaluation of this potential cause or contribution is an important component of the evaluation process, since it can lead to poor patient outcomes. This article will review the epidemiology, pathophysiology, evaluation, diagnostic process, and causes of delirium in older people, with a focus on the pharmacological causes.

Heart rate variability and delirium in acute non-cardioembolic stroke: a prospective, cross-sectional, cohort study

Objectives

Delirium is an acute fluctuating disorder of attention and awareness. It is associated with autonomic dysfunction and increased mortality. The primary endpoint of our study was to measure autonomic activity in acute stroke patients, by means of heart rate variability analysis, in order to identify autonomic modifications that can predispose to delirium.

Methods

Patients were consecutively enrolled from the stroke unit. Inclusion criteria were age ≥ 18 years and diagnosis of stroke with onset within the previous 72 h confirmed by neuroimaging. Exclusion criteria were atrial fibrillation, congestive heart failure, and conditions requiring intensive care unit. Patients were evaluated by means of Richmond Agitation Sedation Scale (RASS) and Confusion Assessment Method-Intensive Care Unit (CAM-ICU) at baseline, after 72 h, or when symptoms suggesting delirium occurred. For each patient, ECG was recorded at baseline assessment and HRV analysis was conducted on five consecutive minutes of artifact-free ECG traces.

Results

Fifty-six ECGs were available for analysis. During the study period, 11 patients developed delirium. Patients with and without delirium did not differ for sex, age, severity of stroke, and comorbidities. The delirium group had greater standard deviation of the heart rate (DLR − :9.16 ± 8.28; DLR + : 14.36 ± 5.55; p = 0.026) and lower power spectral density of the HF component (DLR − : 38.23 ± 19.23 n.u.; DLR + : 25.75 ± 8.77 n.u.; p = 0.031).

Conclusions

Acute non-cardioembolic stroke patients with increased variability of heart rate and decreased vagal control are at risk for delirium.

Phenotypes and subphenotypes of delirium: a review of current categorisations and suggestions for progression

Delirium is a clinical syndrome occurring in heterogeneous patient populations. It affects 45-87% of critical care patients and is often associated with adverse outcomes including acquired dementia, institutionalisation, and death. Despite an exponential increase in delirium research in recent years, the pathophysiological mechanisms resulting in the clinical presentation of delirium are still hypotheses. Efforts have been made to categorise the delirium spectrum into clinically meaningful subgroups (subphenotypes), using psychomotor subtypes such as hypoactive, hyperactive, and mixed, for example, and also inflammatory and non-inflammatory delirium. Delirium remains, however, a constellation of symptoms resulting from a variety of risk factors and precipitants with currently no successful targeted pharmacological treatment. Identifying specific clinical and biological subphenotypes will greatly improve understanding of the relationship between the clinical symptoms and the putative pathways and thus risk factors, precipitants, natural history, and biological mechanism. This will facilitate risk factor mitigation, identification of potential methods for interventional studies, and informed patient and family counselling. Here, we review evidence to date and propose a framework to identify subphenotypes. Endotype identification may be done by clustering symptoms with their biological mechanism, which will facilitate research of targeted treatments. In order to achieve identification of delirium subphenotypes, the following steps must be taken: (1) robust records of symptoms must be kept at a clinical level. (2) Global collaboration must facilitate large, heterogeneous research cohorts. (3) Patients must be clustered for identification, validation, and mapping of subphenotype stability.

Neutrophil-to-lymphocyte ratio predicts delirium after stroke

BACKGROUND

Delirium is an underdiagnosed and possibly preventable complication in acute stroke and is linked to poor outcome. Neutrophil-to-lymphocyte ratio (NLR), a marker of systemic inflammation, is also associated with poor outcome after acute ischemic stroke.

AIM

To determine whether NLR is a predictor of post-stroke delirium (PSD).

METHODS

We reviewed the UZ Brussel stroke database and included 514 patients with acute ischemic stroke within 24 hours from stroke onset between February 2009 and December 2014. The presence of delirium was evaluated by two raters based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria, using a retrospective chart review method. When no consensus was reached, a third evaluator was consulted. Patients were divided into two groups: those who developed delirium within the first week after stroke onset (n = 201; 39%) and those who did not (n = 313; 61%). Receiver operating characteristics (ROC) and multiple logistic regression analysis (MLRA) were used to identify predictors of PSD.

RESULTS

MLRA showed that NLR (odds ratio (OR) 1.14; 95% confidence interval (CI) 1.04-1.26), age (OR 1.05; 95% CI 1.03-1.07), National Institutes of Health Stroke Scale (NIHSS; OR 1.14; 95% CI 1.10-1.18), premorbid modified Rankin Scale (mRS) (OR 1.35; 95% CI 1.05-1.74) and premorbid cognitive dysfunction (OR 3.16; 95% CI 1.26-7.92) predicted PSD. ROC curve of a prediction model including NLR, age, NIHSS and premorbid cognitive dysfunction showed an area under the curve of 0.84 (95% CI = 0.81-0.88).

CONCLUSIONS

Besides age, stroke severity, premorbid mRS and cognitive impairment, NLR is a predictor of PSD, even independent of the development of pneumonia or urinary tract infection.

Comparison of the '4-item assessment test' and 'nursing delirium screening scale' delirium screening tools on non-intensive care unit wards: A prospective mixed-method approach

BACKGROUND

In elderly patients following surgery, postoperative delirium (POD) is the most frequent complication and is associated with negative outcomes. The 2017 European Society of Anaesthesiology guideline on POD aims to improve patient care by implementing structured delirium prevention, diagnosis and treatment. However, these recommendations, especially systematic delirium screening, are still incompletely adopted in clinical practice. The aim of this study was to evaluate the feasibility and acceptance of validated delirium screening tools and to identify barriers to their implementation on nonintensive care unit wards.

METHODS

Screening rates, as well as practicability, acceptance and the interprofessional handling of positive results, were assessed for each group. Screening rates were calculated as a percentage of the total potential testing episodes completed (up to 15 per patient). Patients were considered eligible when aged 65 years and above. Barriers and motivating factors were assessed in a mixed method approach by utilising questionnaires and focus group discussions.

INTERVENTION

In a 3-month phase, a guideline-compliant screening protocol involving screening for POD three times daily for 5 days following surgery was introduced in five wards: both the 4-item assessment test (4AT) and the nursing delirium screening scale (NuDESC) were used. Before commencing the study and again after 6 weeks, medical staff of the respective wards underwent a 45 min training session.

RESULTS

Of a total of 3183 potential testing episodes, 999 (31.4%) were completed, with more NuDESC observational tests (43%) than 4AT bedside tests completed (20%). The 4AT was considered more difficult to integrate into daily working routines, it took longer to administer, and nurses felt uncomfortable conducting the screening (53 vs. 13%). Screening results indicating delirium were often not discussed within the team (47%), and nurses felt that often such results were not taken seriously by physicians (54%).

CONCLUSION

The observational NuDESC showed a higher completion rate than the bedside 4AT, although overall testing rates were low. The necessary time needed to conduct the screening, the negative reactions by patients, insufficient team communication and a lack of initiation of any therapy were identified as major barriers in the implementation of the guideline-compliant screening protocol. For all staff, further education and awareness of the importance of POD diagnosis and treatment might improve the screening rates. The NuDesc received better results concerning acceptance, practicability and introduction into daily work routine, leading to higher screening rates compared with the 4AT. The latter instrument, which was intended to be used rather selectively or when POD is suspected, might therefore not be suitable for guideline-compliant regular and repeated screening for POD.

Delirium in neurosurgery: a systematic review and meta-analysis

Delirium is a frequent occurring complication in surgical patients. Nevertheless, a scientific work-up of the clinical relevance of delirium after intracranial surgery is lacking. We conducted a systematic review (CRD42020166656) to evaluate the current diagnostic work-up, incidence, risk factors and health outcomes of delirium in this population. Five databases (Embase, Medline, Web of Science, PsycINFO, Cochrane Central) were searched from inception through March 31st, 2021. Twenty-four studies (5589 patients) were included for qualitative analysis and twenty-one studies for quantitative analysis (5083 patients). Validated delirium screening tools were used in 70% of the studies, consisting of the Confusion Assessment Method (intensive care unit) (45%), Delirium Observation Screening Scale (5%), Intensive Care Delirium Screening Checklist (10%), Neelon and Champagne Confusion Scale (5%) and Nursing Delirium Screening Scale (5%). Incidence of post-operative delirium after intracranial surgery was 19%, ranging from 12 to 26% caused by variation in clinical features and delirium assessment methods. Meta-regression for age and gender did not show a correlation with delirium. We present an overview of risk factors and health outcomes associated with the onset of delirium. Our review highlights the need of future research on delirium in neurosurgery, which should focus on optimizing diagnosis and assessing prognostic significance and management.

Evaluation of point-of-care thumb-size bispectral electroencephalography device to quantify delirium severity and predict mortality

BACKGROUND

We have developed the bispectral electroencephalography (BSEEG) method for detection of delirium and prediction of poor outcomes.

AIMS

To improve the BSEEG method by introducing a new EEG device.

METHOD

In a prospective cohort study, EEG data were obtained and BSEEG scores were calculated. BSEEG scores were filtered on the basis of standard deviation (s.d.) values to exclude signals with high noise. Both non-filtered and s.d.-filtered BSEEG scores were analysed. BSEEG scores were compared with the results of three delirium screening scales: the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), the Delirium Rating Scale-Revised-98 (DRS) and the Delirium Observation Screening Scale (DOSS). Additionally, the 365-day mortalities and the length of stay (LOS) in the hospital were analysed.

RESULTS

We enrolled 279 elderly participants and obtained 620 BSEEG recordings; 142 participants were categorised as BSEEG-positive, reflecting slower EEG activity. BSEEG scores were higher in the CAM-ICU-positive group than in the CAM-ICU-negative group. There were significant correlations between BSEEG scores and scores on the DRS and the DOSS. The mortality rate of the BSEEG-positive group was significantly higher than that of the BSEEG-negative group. The LOS of the BSEEG-positive group was longer compared with that of the BSEEG-negative group. BSEEG scores after s.d. filtering showed stronger correlations with delirium screening scores and more significant prediction of mortality.

CONCLUSIONS

We confirmed the usefulness of the BSEEG method for detection of delirium and of delirium severity, and prediction of patient outcomes with a new EEG device.

Implementing Delirium Screening in an Intermediate Care Unit

BACKGROUND

Delirium occurs in as many as 82% of hospitalized patients. Use of a valid and reliable tool allows for early detection and management to mitigate adverse effects, including a decrease in patient falls.

OBJECTIVE

To conduct a quality improvement project to implement the confusion assessment method (CAM) tool in an intermediate care unit and measure delirium screening compliance, feasibility of the tool, and the effect on reported patient falls.

METHODS

Web-based training using a 14-item pre-post assessment for knowledge comprehension. The CAM tool was added to the electronic health record (EHR), and documentation compliance was measured for eight weeks. Afterwards, a nurse perception survey was distributed, and 60-day pre- and post-intervention patient falls were compared.

RESULTS

Forty-seven nurses completed the training. Post-test averages were higher than the pre-test (p = .16); five answers showed significant improvement (p < .02). Screening and documentation compliance were 79.1%. Twenty-one nurses completed the perception survey, demonstrating agreement that delirium CAM screening is a feasible intervention. Patient falls were reduced by 57%.

CONCLUSION

Addition of the CAM tool into the EHR-enhanced screening compliance.

IMPLICATIONS FOR NURSING

Early delirium detection may reduce patient falls. The CAM is a feasible instrument and delirium screening is a worthwhile intervention.

Diagnostic accuracy of the 4AT for delirium detection in older adults: systematic review and meta-analysis

OBJECTIVE

Detection of delirium in hospitalised older adults is recommended in national and international guidelines. The 4 'A's Test (4AT) is a short (<2 minutes) instrument for delirium detection that is used internationally as a standard tool in clinical practice. We performed a systematic review and meta-analysis of diagnostic test accuracy of the 4AT for delirium detection.

METHODS

We searched MEDLINE, EMBASE, PsycINFO, CINAHL, clinicaltrials.gov and the Cochrane Central Register of Controlled Trials, from 2011 (year of 4AT release on the website www.the4AT.com) until 21 December 2019. Inclusion criteria were: older adults (≥65 years); diagnostic accuracy study of the 4AT index test when compared to delirium reference standard (standard diagnostic criteria or validated tool). Methodological quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool. Pooled estimates of sensitivity and specificity were generated from a bivariate random effects model.

RESULTS

Seventeen studies (3,702 observations) were included. Settings were acute medicine, surgery, a care home and the emergency department. Three studies assessed performance of the 4AT in stroke. The overall prevalence of delirium was 24.2% (95% CI 17.8-32.1%; range 10.5-61.9%). The pooled sensitivity was 0.88 (95% CI 0.80-0.93) and the pooled specificity was 0.88 (95% CI 0.82-0.92). Excluding the stroke studies, the pooled sensitivity was 0.86 (95% CI 0.77-0.92) and the pooled specificity was 0.89 (95% CI 0.83-0.93). The methodological quality of studies varied but was moderate to good overall.

CONCLUSIONS

The 4AT shows good diagnostic test accuracy for delirium in the 17 available studies. These findings support its use in routine clinical practice in delirium detection.

PROSPERO REGISTRATION NUMBER

CRD42019133702.

Current Challenges in the Recognition and Management of Delirium Superimposed on Dementia

Delirium occurring in a patient with preexisting dementia is referred to as delirium superimposed on dementia (DSD). DSD commonly occurs in older hospitalized patients and is associated with worse outcomes, including higher rates of mortality and institutionalization, compared to inpatients with delirium or dementia alone. This narrative review summarizes the screening, diagnosis, management, and pathophysiology of DSD and concludes by highlighting opportunities for future research. Studies were identified via Medline and PsycINFO keyword search, and handsearching reference lists. Conceptually, DSD could be considered an "acute exacerbation" of dementia precipitated by a noxious insult akin to an acute exacerbation of heart failure or acute on chronic renal failure. However, unlike other organ systems, there are no established biomarkers for delirium, so DSD is diagnosed and monitored clinically. Because cognitive dysfunction is common to both delirium and dementia, the diagnosis of DSD can be challenging. Inattention, altered levels of arousal, and motor dysfunction may help distinguish DSD from dementia alone. An informant history suggestive of an acute change in cognition or alertness should be investigated and managed as delirium until proven otherwise. The key management principles include prevention, identifying and treating the underlying precipitant(s), implementing multicomponent interventions to create an ideal environment for brain recovery, preventing complications, managing distress, and monitoring for resolution. Informing and involving family members or caregivers throughout the patient journey are essential because there is significant prognostic uncertainty, including the risk of persistent cognitive and functional decline following DSD and relapse. Furthermore, informal carers can provide significant assistance in management. Emerging evidence demonstrates that increased exposure to delirium is associated with neuronal injury and worse cognitive outcomes although the mechanisms through which this occurs remain unclear. Given the clinical overlap between delirium and dementia, studying shared pathophysiological pathways may uncover diagnostic tests and is an essential step in therapeutic innovation.

A qualitative analysis of clinicians' communication strategies with family members of patients experiencing hospital-acquired delirium

OBJECTIVE

Identify doctors' and nurses' perceptions of effective communication strategies when talking with family members of patients with hospital-acquired delirium.

METHODS

We conducted focus groups and interviews of hospitalists, anesthesiologists, and nurses using a semi-structured approach. We rigorously analyzed transcribed data using a constant comparative method.

RESULTS

We conducted six focus groups and 14 interviews. Participants included 20 hospitalists, 9 anesthesiologists, and 21 nurses. Clinicians identified three communication approaches as effective when communicating with family of delirium patients: Provide reassurance, educate families, and engage in family-centered communication.

CONCLUSION

In communicating with families of patients with post-operative delirium, clinicians work to reassure and educate families using family-centered communication. Different approaches are used by different types of clinicians to accomplish this goal. Clinicians recognized the importance of involving family members in the patients' recovery.

PRACTICE IMPLICATIONS

Though clinically common and familiar to clinicians, delirium may be a new diagnosis for family members and thus compassion and education are vital. Due to the different clinical roles, education may be different for each discipline.

Delirium screening tools validated in the context of palliative care: A systematic review

BACKGROUND

Delirium is a distressing neuropsychiatric disorder affecting patients in palliative care. Although many delirium screening tools exist, their utility, and validation within palliative care settings has not undergone systematic review.

AIM

To systematically review studies that validate delirium screening tools conducted in palliative care settings.

DESIGN

Systematic review with narrative synthesis (PROSPERO ID: CRD42019125481). A risk of bias assessment via Quality Assessment Tool for Diagnostic Accuracy Studies-2 was performed.

DATA SOURCES

Five electronic databases were systematically searched (January 1, 1982-May 3, 2020). Quantitative studies validating a screening tool in adult palliative care patient populations were included. Studies involving alcohol withdrawal, critical or perioperative care were excluded.

RESULTS

Dual-reviewer screening of 3749 unique titles and abstracts identified 95 studies for full-text review and of these, 17 studies of 14 screening tools were included (n = 3496 patients). Data analyses revealed substantial heterogeneity in patient demographics and variability in screening and diagnostic practices that limited generalizability between study populations and care settings. A risk of bias assessment revealed methodological and reporting deficits, with only 3/17 studies at low risk of bias.

CONCLUSIONS

The processes of selecting a delirium screening tool and determining optimal screening practices in palliative care are complex. One tool is unlikely to fit the needs of the entire palliative care population across all palliative care settings. Further research should be directed at evaluating and/or adapting screening tools and practices to fit the needs of specific palliative care settings and populations.

A Survey of Nurses' Perspectives on Delirium Screening in Older Adult Medical Inpatients With Limited English Proficiency

The Confusion Assessment Method (CAM) is commonly used to detect delirium but its utility in patients with limited English proficiency (LEP) is not well-established. In the current study, internal medicine nurses at an acute care hospital in Canada were surveyed on the use of the CAM in older adults with LEP. Nurses' perspectives were explored with a focus on barriers to administration. Fifty participants were enrolled (response rate = 47.6%). Twenty-eight (56%) participants stated they could not confidently and accurately assess delirium in patients with LEP. Twenty-nine (58%) participants believed the CAM is not an effective delirium screening tool in the LEP population. Barriers to screening included: challenges with interpretation services, dependence on family members, and fear that the assessment itself may worsen confusion. Our study is the first to describe specific barriers to administering the CAM in patients with LEP. Strategies are required to address these barriers and optimize delirium screening for patients with LEP. [Journal of Gerontological Nursing, 47(4), 29-34.].

Rapid Fire: Acute Brain Failure in Older Emergency Department Patients

Delirium is common in older emergency department (ED) patients. Although associated with significant morbidity and mortality, it often goes unrecognized. A consistent approach to evaluation of mental status, including use of validated tools, is key to diagnosing delirium. Identification of the precipitating event requires thorough evaluation, including detailed history, medication reconciliation, physical examination, and medical work-up, for causes of delirium. Management is aimed at identifying and treating the underlying cause. Meaningful improvements in delirium care can be achieved when prevention, identification, and management of older delirious ED patients is integrated by physicians and corresponding frameworks implemented at the health system level.

Nurses' experiences of delirium and how to identify delirium-A qualitative study

AIM

Delirium is a serious, acute medical condition which places a heavy burden on the patient, his or her family and healthcare professionals. There have been only a limited number of studies to explore nurses' experiences of delirium and how delirium is identified in community care. The research questions of the study are as follows: "How do community care nurses' experience delirium?" and "How is delirium identified?".

DESIGN

This study has been designed as an explorative and descriptive study.

METHODS

A topic-based interview guide was developed containing questions associated with the Registered Nurses' experiences of their meetings with people with delirium and their identification of delirium.

RESULTS

Nurses working in the community care need to know more about delirium as they play a key role in treatment. Our results also show that the participants have difficulty in establishing whether a patient is suffering from acute confusion/delirium, depression or dementia.

Delirium in acute stroke: A prospective, cross-sectional, cohort study

BACKGROUND AND PURPOSE

Delirium is a neuropsychiatric disorder of attention and awareness that develops over a short time and fluctuates in severity. Although delirium has been extensively studied in intensive care units, the incidence of delirium in stroke units and its predictors in stroke patients need further investigation. The endpoints of our study were incidence of delirium in acute stroke and the risk factors that predispose to this condition.

METHODS

Patients were consecutively enrolled in a stroke unit from April to October 2020. Inclusion criteria were: age ≥18 years, acute stroke and National Institute of Health Stroke Scale (NIHSS) score ≥1 at the time of clinical assessment of delirium. Exclusion criteria were: transient ischemic attack; absence of neuroimaging evidence of brain lesion; cerebral venous thrombosis; subarachnoid hemorrhage; and clinical conditions requiring intensive care unit treatment. All patients were evaluated by means of Richmond Agitation-Sedation Scale (RASS) and Confusion Assessment Method-Intensive Care Unit (CAM-ICU) scores at baseline, evaluations which were repeated within 72 h or when patients developed symptoms suggesting delirium.

RESULTS

The overall incidence of delirium was 36/120 (30%). Delirium was associated with aphasia (odds ratio [OR] 9.77; confidence interval [CI] 1.2-79.6), chronic obstructive pulmonary disease (COPD; OR 16.67; CI 1.1-263.0), deep Fazekas score (OR 5.05; CI 1.7-14.8), and physical restraint (OR 45.02; CI 1.4-1411.5). Diabetes was associated with a lower incidence of delirium (OR 0.04; CI 0.026-0.7).

CONCLUSIONS

Nearly one-third of patients (30%) had delirium in the acute phase of stroke. This finding supports the notion that delirium is a common complication of stroke. Delirium was associated with speech disorder, leukoencephalopathy, COPD and early use of physical restraint.

Preoperative Cognitive Impairment and the Prevalence of Postoperative Delirium in Elderly Cancer Patients-A Prospective Observational Study

Preoperative cognitive impairment (PCI) in cancer patients includes a broad spectrum of neurocognitive changes produced by complex interplay of patient, tumoural and treatment-related factors. Reduced preoperative cognitive reserve can favour the emergence of postoperative delirium (POD). The study aims to document PCI prevalence and to assess the relationship with POD in elderly cancer patients. The prospective observational study included consecutive patients scheduled for elective surgery; PCI was assessed with Mini-Cog test and defined at a score ≤ 3, POD was screened using Nursing Delirium Screening Scale (Nu-DESC) and defined at a score ≥ 2. Data on education, American Society of Anesthesiologists (ASA) score, preoperative medications, substance use, comorbidities, sensorial deficits, surgery and anaesthesia type, anaesthetic drugs, Mini-Cog score, postoperative pain, Nu-DESC were collected. In total, 131 patients were enrolled, mean age 72.1 ± 5.9 years. PCI prevalence was 51.9% (n = 68). POD prevalence was 19.8% (n = 26), with significantly higher value in PCI patients (27.9% vs. 11.1%, p = 0.016). In multivariate analysis, Mini-Cog score ≤ 3 (OR = 2.6, p = 0.027), clock draw (OR: 2.9, p = 0.013), preoperative renal dysfunction (OR = 2.6, p = 0.012), morphine (OR = 2.7, p = 0.007), metoclopramide (OR = 6.6, p = 0.006), and high pain score (OR = 1.8, p = 0.018) had a significant association with POD development. In this sample of elderly patients, PCI had a high prevalence and predicted the emergence of POD. Incorporating Mini-Cog test into the preoperative evaluation of onco-geriatric patients seems valuable and feasible.

Delirium Triage Screen/Brief Confusion Assessment Method in Adult Orthopaedic and Hematological Patients: A Validation Study

Delirium in the hospitalized orthopaedic patient is associated with numerous negative outcomes. Assessing for the presence of delirium using an accurate and reliable tool is essential. However, the number of validated screening tools is limited. The purpose of this study was to validate and test the reliability of the Delirium Triage Screening and brief Confusion Assessment Method (DTS/bCAM) to screen for delirium in non-intensive care (ICU) orthopaedic and hematological patients. This was a prospective, observational study. Seventy-six delirium assessments were completed on 19 orthopaedic patients and 10 hematological patients. The clinical nurse performed the DTS/bCAM during every 12-hour shift. Within 2 hours of this assessment, a research investigator performed both the DTS/bCAM and the Confusion Assessment Method (CAM). Each patient had a maximum of three assessments by a research investigator. Interrater reliability for the clinical nurse and the researcher was measured through comparison of positive and negative DTS/bCAM results. Validity was measured by comparing the matched DTS/bCAM and CAM results, both performed by the researcher. The DTS/bCAM and CAM results had 100% agreement. Two patients (7%) screened positive for delirium. Sensitivity of the DTS/bCAM was 100% (95% CI [15.8-100]) and specificity was 100% (95% CI [95.1, 100]). There was 86% agreement (43/50) between the clinical nurse and the researcher for the DTS/bCAM. In adult orthopaedic and hematological patients not receiving intensive care, the DTS/bCAM may be a valid, reliable, and rapid screening tool for delirium.

"SQiD, the Single Question in Delirium; can a single question help clinicians to detect delirium in hospitalised cancer patients?" running heading Single Question in Delirium" (Bcan-D-20-01665)

Aim

A serious syndrome for cancer in-patients, delirium risk increases with age and medical acuity. Screening tools exist but detection is frequently delayed or missed. We test the ‘Single Question in Delirium’ (SQiD), in comparison to psychiatrist clinical interview.

Methods

Inpatients in two comprehensive cancer centres were prospectively screened. Clinical staff asked informants to respond to the SQiD: “Do you feel that [patient’s name] has been more confused lately?”. The primary endpoint was negative predictive value (NPV) of the SQiD versus psychiatrist diagnosis (Diagnostic and Statistics Manual criteria). Secondary endpoints included: NPV of the Confusion Assessment Method (CAM), sensitivity, specificity and Cohen’s Kappa coefficient.

Results

Between May 2012 and July 2015, the SQiD plus CAM was applied to 122 patients; 73 had the SQiD and psychiatrist interview. Median age was 65 yrs. (interquartile range 54–74), 46% were female; median length of hospital stay was 12 days (5–18 days). Major cancer types were lung (19%), gastric or other upper GI (15%) and breast (14%). 70% of participants had stage 4 cancer. Diagnostic values were similar between the SQiD (NPV = 74, 95% CI 67–81; kappa = 0.32) and CAM (NPV = 72, 95% CI 67–77, kappa = 0.32), compared with psychiatrist interview. Overall the CAM identified only a small number of delirious cases but all were true positives. The specificity of the SQiD was 87% (74–95) The SQiD had higher sensitivity than CAM (44% [95% CI 41–80] vs 26% [10–48]).

Conclusion

The SQiD, administered by bedside clinical staff, was feasible and its psychometric properties are now better understood. The SQiD can contribute to delirium detection and clinical care for hospitalised cancer patients.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12885-020-07504-x.

Delirium in older adults

This narrative review provides a broad examination of the most current concepts on the etiopathogenesis, diagnosis, prevention, and treatment of delirium, an acute neuropsychiatric syndrome characterized by fluctuating changes in cognition and consciousness. With the interaction of underlying vulnerability and severity of acute insults, delirium can occur at any age but is particularly frequent in hospitalized older adults. Delirium is also associated with numerous adverse outcomes, including functional impairment, cognitive decline, increased healthcare costs, and death. Its diagnosis is based on clinical and cognitive assessments, preferably following systematized detection instruments, such as the Confusion Assessment Method (CAM). Delirium and its consequences are most effectively fought using multicomponent preventive interventions, like those proposed by the Hospital Elder Life Program (HELP). When prevention fails, delirium management is primarily based on the identification and reversal of precipitating factors and the non-pharmacological control of delirium symptoms. Pharmacological interventions in delirium should be restricted to cases of dangerous agitation or severe psychotic symptoms.

Delirium Prevention, Detection, and Treatment in Emergency Medicine Settings: A Geriatric Emergency Care Applied Research (GEAR) Network Scoping Review and Consensus Statement

BACKGROUND

Older adult delirium is often unrecognized in the emergency department (ED), yet the most compelling research questions to overcome knowledge-to-practice deficits remain undefined. The Geriatric Emergency care Applied Research (GEAR) Network was organized to identify and prioritize delirium clinical questions.

METHODS

GEAR identified and engaged 49 transdisciplinary stakeholders including emergency physicians, geriatricians, nurses, social workers, pharmacists, and patient advocates. Adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews, clinical questions were derived, medical librarian electronic searches were conducted, and applicable research evidence was synthesized for ED delirium detection, prevention, and management. The scoping review served as the foundation for a consensus conference to identify the highest priority research foci.

RESULTS

In the scoping review, 27 delirium detection "instruments" were described in 48 ED studies and used variable criterion standards with the result of delirium prevalence ranging from 6% to 38%. Clinician gestalt was the most common "instrument" evaluated with sensitivity ranging from 0% to 81% and specificity from 65% to 100%. For delirium management, 15 relevant studies were identified, including one randomized controlled trial. Some intervention studies targeted clinicians via education and others used clinical pathways. Three medications were evaluated to reduce or prevent ED delirium. No intervention consistently prevented or treated delirium. After reviewing the scoping review results, the GEAR stakeholders identified ED delirium prevention interventions not reliant on additional nurse or physician effort as the highest priority research.

CONCLUSIONS

Transdisciplinary stakeholders prioritize ED delirium prevention studies that are not reliant on health care worker tasks instead of alternative research directions such as defining etiologic delirium phenotypes to target prevention or intervention strategies.

Course and Recognition of Poststroke Delirium: A Prospective Noninferiority Trial of Delirium Screening Tools

BACKGROUND AND PURPOSE

Poststroke delirium (PSD) is an independent predictor of unfavorable outcome. Despite its individual and socioeconomic burden, its frequency, clinical course, and routine detection remain unresolved. This study aimed to assess psychometric properties of established delirium screening tools and investigate the natural course of PSD.

METHODS

This study investigated patients presenting with high-risk transient ischemic attacks or ischemic stroke within 24 hours during a 3-month period. Twice-daily screenings for PSD were done using the confusion assessment method, nursing delirium scale, and rapid delirium assessment, and evaluated for noninferiority against Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria. We investigated demographic and stroke characteristics as predictors of PSD, neurological deficits as predictors of false screening results, and conducted a simulation study to estimate the best timing to identify PSD.

RESULTS

We enrolled 141 patients (73.8±10.4 years of age, 61 female) with a mean National Institutes of Health Stroke Scale score of 6.4±6.5. Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition based PSD incidence was 39%, which manifested within 24 hours in 25% and 72 hours in almost all cases. The confusion assessment method was the only screening tool noninferior to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition ratings providing a sensitivity of 82% and specificity of 80%. Age (odds ratio, 1.07 [1.02-1.13] per year, P=0.004) and National Institutes of Health Stroke Scale (odds ratio, 1.24 [1.15-1.34] per point, P<0.001) were predictors of PSD. False-positive screening results were associated with stroke-induced disorientation (odds ratio, 6.1 [3.2-11.61], P<0.001) and neglect (odds ratio, 2.17 [1.22-3.87], P=0.008). Simulations revealed that one in 4 cases is missed with less than daily screenings.

CONCLUSIONS

PSD is a common complication of stroke and transient ischemic attack. Detection is challenged by confounding effects such as focal neurological deficits and the necessity for at least daily screenings. Future studies are required to investigate implementation of these findings in clinical routine. Registration: URL: https://www.clinicaltrials.gov. Unique identifier: NCT03930719.

The effects of surgery on plasma vitamin C concentrations and cognitive function: a protocol for a prospective, observational study

BACKGROUND

Post-operative cognitive function has recently become an area of focus for researchers. The most commonly reported perioperative neurocognitive disorders include delirium and longer-lasting post-operative cognitive dysfunctions. The contributing pathophysiology to these complications remains unclear. A number of studies have systematically revealed a significant post-operative plasma vitamin C depletion. Recent insights have also exhibited a link between plasma vitamin C and numerous biological roles in brain function, with deficiencies potentially compromising cognitive function.

AIM

The present prospective, observational study will investigate whether there is a possible link between post-operative plasma vitamin C depletion and cognitive dysfunction.

METHODS

The cohort will consist of surgical patients, between the ages of 65 and 85 years, undergoing hip replacement surgery or a control group not exposed to surgical trauma. Participants will have their plasma vitamin C concentrations tested alongside a battery of computer-based cognitive assessments and paper and pen based cognitive tests. Further assessments will include dietary nutritional intake, serum vitamin B12 concentrations, cardiovascular biomarkers, wound healing, sleep quality, pain, mood and inflammatory cytokines. Participants will be tested at baseline (1-2 weeks prior to surgery) and subsequent testing sessions will be performed within 1 week, 4-6 weeks, 3 months and 6 months following surgery.

CONCLUSIONS

Findings from this observational study will provide insight into whether there is a concomitant depletion in post-operative plasma vitamin C concentrations and cognition function. Extrapolated results may prompt future, extensive randomized controlled trials to assess whether vitamin C supplementation can alleviate or even prevent post-operative cognitive complications.

Consciousness and the rabbit holes of delirium

Delirium is a common disorder in hospitalized older adults and the defining characteristic is a disturbance of consciousness. Unfortunately, there are currently no testable measures of consciousness as pertains to its disruption in delirium. Not surprisingly rates of recognition of delirium suffer. Arguably, a greater understanding of the quantum of consciousness may improve delirium diagnosis through better diagnostic tools. Candidate dimensions of consciousness derived from fields of psychology, psychiatry, and philosophy are discussed and relevance to delirium explored. Based upon existing literature in the field of consciousness we identify the pre-reflective state, experiential awareness, and functional networks as candidate sites that may be affected in delirium. Opportunities for clinical instrument development and how these tools can be tested are discussed. We conclude that consciousness content may not hold to a unitary measurement, but facets of its integrity that are impacted in delirium are open to further exploration. Disorders in pre-reflective status, experiential awareness, and functional networks may represent the measurable "rabbit holes" of consciousness disturbance.

Delirium

Delirium, a syndrome characterized by an acute change in attention, awareness and cognition, is caused by a medical condition that cannot be better explained by a pre-existing neurocognitive disorder. Multiple predisposing factors (for example, pre-existing cognitive impairment) and precipitating factors (for example, urinary tract infection) for delirium have been described, with most patients having both types. Because multiple factors are implicated in the aetiology of delirium, there are likely several neurobiological processes that contribute to delirium pathogenesis, including neuroinflammation, brain vascular dysfunction, altered brain metabolism, neurotransmitter imbalance and impaired neuronal network connectivity. The Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5) is the most commonly used diagnostic system upon which a reference standard diagnosis is made, although many other delirium screening tools have been developed given the impracticality of using the DSM-5 in many settings. Pharmacological treatments for delirium (such as antipsychotic drugs) are not effective, reflecting substantial gaps in our understanding of its pathophysiology. Currently, the best management strategies are multidomain interventions that focus on treating precipitating conditions, medication review, managing distress, mitigating complications and maintaining engagement to environmental issues. The effective implementation of delirium detection, treatment and prevention strategies remains a major challenge for health-care organizations globally.

The 4 'A's test for detecting delirium in acute medical patients: a diagnostic accuracy study

BACKGROUND

Delirium is a common and serious neuropsychiatric syndrome, usually triggered by illness or drugs. It remains underdetected. One reason for this is a lack of brief, pragmatic assessment tools. The 4 'A's test (Arousal, Attention, Abbreviated Mental Test - 4, Acute change) (4AT) is a screening tool designed for routine use. This project evaluated its usability, diagnostic accuracy and cost.

METHODS

Phase 1 - the usability of the 4AT in routine practice was measured with two surveys and two qualitative studies of health-care professionals, and a review of current clinical use of the 4AT as well as its presence in guidelines and reports. Phase 2 - the 4AT's diagnostic accuracy was assessed in newly admitted acute medical patients aged ≥ 70 years. Its performance was compared with that of the Confusion Assessment Method (CAM; a longer screening tool). The performance of individual 4AT test items was related to cognitive status, length of stay, new institutionalisation, mortality at 12 weeks and outcomes. The method used was a prospective, double-blind diagnostic test accuracy study in emergency departments or in acute general medical wards in three UK sites. Each patient underwent a reference standard delirium assessment and was also randomised to receive an assessment with either the 4AT (n = 421) or the CAM (n = 420). A health economics analysis was also conducted.

RESULTS

Phase 1 found evidence that delirium awareness is increasing, but also that there is a need for education on delirium in general and on the 4AT in particular. Most users reported that the 4AT was useful, and it was in widespread use both in the UK and beyond. No changes to the 4AT were considered necessary. Phase 2 involved 785 individuals who had data for analysis; their mean age was 81.4 (standard deviation 6.4) years, 45% were male, 99% were white and 9% had a known dementia diagnosis. The 4AT (n = 392) had an area under the receiver operating characteristic curve of 0.90. A positive 4AT score (> 3) had a specificity of 95% [95% confidence interval (CI) 92% to 97%] and a sensitivity of 76% (95% CI 61% to 87%) for reference standard delirium. The CAM (n = 382) had a specificity of 100% (95% CI 98% to 100%) and a sensitivity of 40% (95% CI 26% to 57%) in the subset of participants whom it was possible to assess using this. Patients with positive 4AT scores had longer lengths of stay (median 5 days, interquartile range 2.0-14.0 days) than did those with negative 4AT scores (median 2 days, interquartile range 1.0-6.0 days), and they had a higher 12-week mortality rate (16.1% and 9.2%, respectively). The estimated 12-week costs of an initial inpatient stay for patients with delirium were more than double the costs of an inpatient stay for patients without delirium (e.g. in Scotland, £7559, 95% CI £7362 to £7755, vs. £4215, 95% CI £4175 to £4254). The estimated cost of false-positive cases was £4653, of false-negative cases was £8956, and of a missed diagnosis was £2067.

LIMITATIONS

Patients were aged ≥ 70 years and were assessed soon after they were admitted, limiting generalisability. The treatment of patients in accordance with reference standard diagnosis limited the ability to assess comparative cost-effectiveness.

CONCLUSIONS

These findings support the use of the 4AT as a rapid delirium assessment instrument. The 4AT has acceptable diagnostic accuracy for acute older patients aged > 70 years.

FUTURE WORK

Further research should address the real-world implementation of delirium assessment. The 4AT should be tested in other populations.

TRIAL REGISTRATION

Current Controlled Trials ISRCTN53388093.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 40. See the NIHR Journals Library website for further project information. The funder specified that any new delirium assessment tool should be compared against the CAM, but had no other role in the study design or conduct of the study.

Delirium

Delirium is an acute confusional state that is common and costly and is associated with significant functional decline and distress. It is the manifestation of acute encephalopathy and is variably called acute brain failure, acute brain dysfunction, or altered mental status. All patients are at risk for delirium, although those with more vulnerabilities (such as advanced age, exposures to other stressors like infection, and certain medications) are at higher risk. The pathophysiologic cause of delirium is not well understood. It is important to recognize patients at risk for and those with delirium and to immediately identify and treat factors contributing to it. There is no single intervention or medication to treat delirium, making it challenging to manage. Therefore, risk mitigation and prompt treatment rely on a sophisticated strategy to address the contributing factors. Delirium may be prevented or attenuated when multimodal strategies are used, thereby improving patient outcomes.

Influence of Frailty on Outcome in Older Patients Undergoing Non-Cardiac Surgery - A Systematic Review and Meta-Analysis

Frailty is increasingly recognized as a better predictor of adverse postoperative events than chronological age. The objective of this review was to systematically evaluate the effect of frailty on postoperative morbidity and mortality. Studies were included if patients underwent non-cardiac surgery and if frailty was measured by a validated instrument using physical, cognitive and functional domains. A systematic search was performed using EMBASE, MEDLINE, Web of Science, CENTRAL and PubMed from 1990 - 2017. Methodological quality was assessed using an assessment tool for prognosis studies. Outcomes were 30-day mortality and complications, one-year mortality, postoperative delirium and discharge location. Meta-analyses using random effect models were performed and presented as pooled risk ratios with confidence intervals and prediction intervals. We included 56 studies involving 1.106.653 patients. Eleven frailty assessment tools were used. Frailty increases risk of 30-day mortality (31 studies, 673.387 patients, risk ratio 3.71 [95% CI 2.89-4.77] (PI 1.38-9.97; I2=95%) and 30-day complications (37 studies, 627.991 patients, RR 2.39 [95% CI 2.02-2.83). Risk of 1-year mortality was threefold higher (six studies, 341.769 patients, RR 3.40 [95% CI 2.42-4.77]). Four studies (N=438) reported on postoperative delirium. Meta-analysis showed a significant increased risk (RR 2.13 [95% CI 1.23-3.67). Finally, frail patients had a higher risk of institutionalization (10 studies, RR 2.30 [95% CI 1.81- 2.92]). Frailty is strongly associated with risk of postoperative complications, delirium, institutionalization and mortality. Preoperative assessment of frailty can be used as a tool for patients and doctors to decide who benefits from surgery and who doesn’t.

Postoperative delirium in patients with head and neck oral cancer in the West of Scotland

Our aims were to determine the prevalence and association of postoperative delirium (POD) in head and neck (H&N) cancer patients undergoing free flap reconstruction at the oral and maxillofacial surgery (OMFS) unit, Queen Elizabeth University Hospital (QEUH) Glasgow, and to assess whether these determinants can be modified to optimise patient care and reduce the occurrence of POD. Delirium remains an important problem in the postoperative care of patients undergoing major H&N surgery, and early detection and management improve overall outcomes. The patient database containing details of the preoperative physical status (including alcohol misuse, chronic comorbidity, and physiological status) of 1006 patients who underwent major H&N surgery with free-flap repair at the QEUH from 2009-2019, was analysed. Factors associated with delirium were studied, identifying univariate associations as well as multivariate models to determine independent risk factors. The incidence of POD was 7.5% (75/1006; 53 male:22 female; mean (SD) age 65.41 (13.16) years). POD was strongly associated with pre-existing medical comorbidities, excess alcohol, smoking, a prolonged surgical operating time (more than 700 minutes), tracheostomy, blood transfusion, and bony free flaps. Those with POD were at an increased risk of postoperative wound and lung complications, and were more likely to require a hospital stay of more than 21 days. Presurgical assessment should identify risk factors to optimise the diagnosis and treatment of POD, and will enhance patient care by reducing further medical and surgical complications, and overall hospital stay.

New Cutoff Scores for Delirium Screening Tools to Predict Patient Mortality

BACKGROUND/OBJECTIVES

Detecting delirium is important to identify patients with a high risk of poor outcomes. Although many different kinds of screening instruments for delirium exist, there is no solid consensus about which methods are the most effective. In addition, it is important to find the most useful tools in predicting outcomes such as mortality.

DESIGN

Retrospective cohort study.

SETTING

University of Iowa Hospitals and Clinics.

PARTICIPANTS

A total of 1,125 adult inpatients (mean age = 67.7; median age = 69).

MEASUREMENTS

Post hoc analyses were performed based on existing data from the Confusion Assessment Method for Intensive Care Unit (CAM-ICU), Delirium Rating Scale-Revised-98 (DRS), and the Delirium Observation Screening Scale (DOSS). Correlation among these scales and relationships between 365-day mortality and each scale were evaluated.

RESULTS

A positive result on the CAM-ICU ("CAM-ICU positive") was associated with higher DRS and DOSS scores. A DRS score = 9/10 was the best cutoff to detect CAM-ICU positive, and DOSS = 2/3 was the best cutoff to detect CAM-ICU positive. CAM-ICU positive was associated with high 365-day mortality. DRS score = 9/10 and DOSS score = 0/1 were found to differentiate mortality risk the most significantly. Higher DRS and DOSS scores significantly coincided with a decrease in a patient's survival rate at 365 days.

CONCLUSION

The best DRS and DOSS cutoff scores to differentiate 365-day mortality risk were lower than those commonly used to detect delirium in the literature. New cutoff scores for the DRS and DOSS might be useful in differentiating risk of mortality among hospital patients.

Post-stroke delirium risk factors, signs and symptoms of onset and outcomes as perceived by expert nurses: A focus group study

BACKGROUND

Higher rates of delirium have been reported among patients with acute stroke. However, poorly modifiable risk factors have been documented to date while sign and symptoms capable of early detecting its onset and outcomes in this specific population have been largely neglected. The aim of this study was to emerge nurses' clinical knowledge and experiences regarding post-stroke delirium (a) risk factors, (b) signs and symptoms of delirium onset, and (c) outcomes.

METHOD

A qualitative study based upon focus groups have been performed on 2019 and here reported according to the COnsolidated criteria for REporting Qualitative research. A purposeful sample of 28 nurses was invited to participate in focus groups at two Italian hospitals, and 20 participated. A semi-structured question guide was developed; all focus groups were audio recorded and then transcribed verbatim. Two researchers independently analysed, coded and categorised the findings according to the main research question. A member checking with ten nurses was also performed to ensure rigour.

RESULTS

Four risk factors emerged (a) at the individual level; (b) associated with previous (e.g., dementia) and the current clinical condition (stroke), (c) associated with the nursing care delivered, and (d) associated with the hospital environment. In their daily practice, nurses suspect the onset of delirium when some motor, verbal or multidimensional signs and symptoms occur. The delirium episodes affect outcomes at the individual, family, and at the system levels.

CONCLUSIONS

In a field of research in need of study, we have involved expert nurses who shared their tacit knowledge to gain insights regarding risk factors, early signs and symptoms of delirium and its outcomes to address future directions of this research field.

Validation of two nurse-based screening tools for delirium in elderly patients in general medical wards

Background

Delirium is an acute disturbance characterized by fluctuating symptoms related to attention, awareness and recognition. Especially for elderly patients, delirium is frequently associated with high hospital costs and resource consumption, worse functional deterioration and increased mortality rates. Early recognition of risk factors and delirium symptoms enables medical staff to prevent or treat negative effects. Most studies examining screening instruments for delirium were conducted in intensive care units and surgical wards, and rarely in general medical wards. The aim of the study is to validate the Nursing Delirium Screening Scale (Nu-DESC) and the Delirium Observation Screening Scale (DOS) in general medical wards in a German tertiary care hospital, considering predisposing delirium risk factors in patients aged 65 and older.

Methods

The prospective observational study including 698 patients was conducted between May and August 2018 in two neurological and one cardiology ward. During their shifts, trained nurses assessed all patients aged 65 or older for delirium symptoms using the Nu-DESC and the DOS. Delirium was diagnosed according to the DSM-5 criteria by neurologists. Patient characteristics and predisposing risk factors were obtained from the digital patient management system. Descriptive and bivariate statistics were computed.

Results

The study determined an overall delirium occurrence rate of 9.0%. Regarding the DOS, sensitivity was 0.94, specificity 0.86, PPV 0.40 NPV 0.99 and regarding the Nu-DESC, sensitivity was 0.98, specificity 0.87, PPV 0.43, NPV 1.00. Several predisposing risk factors increased the probability of delirium: pressure ulcer risk OR: 17.3; falls risk OR: 14.0; immobility OR: 12.7; dementia OR: 5.38.

Conclusions

Both screening instruments provided high accuracy for delirium detection in general medical wards. The Nu-DESC proved to be an efficient delirium screening tool that can be integrated into routine patient care. According to the study results, pressure ulcer risk, falls risk, and immobility were risk factors triggering delirium in most cases. Impaired mobility, as common risk factor of the before mentioned risks, is well known to be preventable through physical activity programmes.