Delirium in hospitalized older adults

COVID-19 and the Impact on Delirium Care of Hospitalized Older Adults: A Qualitative Study

BACKGROUND

Older adult patients with COVID-19 and delirium experience higher rates of adverse outcomes. Early recognition of at-risk patients and implementation of management strategies improve outcomes, though understanding barriers to acute care nurses implementing these strategies is limited.

PURPOSE

This study's purpose was to understand the experiences of acute care nurses providing care to older adults with COVID-19 and delirium. Experiences explored included assessment, nursing management interventions, and barriers to care.

METHODS

Purposive sampling to recruit nurses for semistructured focus groups was performed, and thematic analysis was generated by 4 members of the research team.

RESULTS

Twenty-one nurses participated in focus groups. Thematic analysis revealed themes of increased patient social isolation, barriers to delirium assessment and prevention, increased staff demands, and stressful work environments.

CONCLUSION

Rich findings reveal the profound impact of the pandemic on assessment for delirium and implementation of strategies for prevention and management in older adult patients.

Machine learning with clinical and intraoperative biosignal data for predicting postoperative delirium after cardiac surgery

Early identification of patients at high risk of delirium is crucial for its prevention. Our study aimed to develop machine learning models to predict delirium after cardiac surgery using intraoperative biosignals and clinical data. We introduced a novel approach to extract relevant features from continuously measured intraoperative biosignals. These features reflect the patient's overall or baseline status, the extent of unfavorable conditions encountered intraoperatively, and beat-to-beat variability within the data. We developed a soft voting ensemble machine learning model using retrospective data from 1,912 patients. The model was then prospectively validated with data from 202 additional patients, achieving a high performance with an area under the receiver operating characteristic curve of 0.887 and an accuracy of 0.881. According to the SHapley Additive exPlanation method, several intraoperative biosignal features had high feature importance, suggesting that intraoperative patient management plays a crucial role in preventing delirium after cardiac surgery.

The role of heart rate variability in predicting delirium: A systematic review and meta-analysis

Brain and heart interact through multiple ways. Heart rate variability, a non-invasive measurement is studied extensively as a predicting model for various health conditions including subarachnoid hemorrhage, cancer, and diabetes. There is limited evidence to predict delirium, an acute fluctuating disorder of brain dysfunction, as it poses a significant challenge in the intensive care unit (ICU) and post-operative setting. In this systematic review of 9 articles, heart rate variability indices were used to investigate the occurrence of post-operative and ICU delirium. This systematic review and meta-analysis reveal evidence of a strong predilection between postoperative and intensive care unit delirium and alterations in the heart rate variability, measured by mean differences for standard deviation of NN-intervals. Other heart rate variability indices [root mean squares of successive differences, low-frequency (LF), high-frequency (HF), and LF:HF ratio] showed lack of or very weak association. A non-invasive tool of brain and heart interaction may refine diagnostic predictions for acute brain dysfunctions like delirium in such population and would be an important step in delirium research.

Prevalence of post-stroke delirium in acute settings: A systematic review and meta-analysis

BACKGROUND

Although post-stroke delirium is a frequent complication in acute settings and has significant long-lasting implications for patients, the prevalence of post-stroke delirium diagnosed according to gold-standard criteria remains uncertain. This highlights the importance of updating the current evidence.

OBJECTIVE

This review aims to provide a precise estimation of the prevalence of delirium in acute post-stroke settings and to explore potential differences in the reported prevalence according to the characteristics of the study and stroke survivors.

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Post-stroke survivors with delirium in acute settings.

DATA SOURCES

Five English and two Chinese language databases from inception to June 2023, and the reference lists of published reviews.

METHODS

Studies reporting the prevalence of post-stroke delirium according to the Diagnostic and Statistical Manual of Mental Disorders criteria with the description of assessment method in the absence of interventions for delirium were eligible. Two reviewers independently screened searched records and extracted data from eligible studies. A meta-analysis was conducted using a random-effects model to evaluate the prevalence of post-stroke delirium, and predefined subgroup analyses, sensitivity analyses, and mixed-effects meta-regression were conducted to explore the contribution of heterogeneity.

RESULTS

Twenty-nine eligible studies involving 8839 survivors were included. In acute settings, the overall weighted prevalence of post-stroke delirium was 25 % (95 % CI, 20-30; I2, 95 %). Subgroup analyses revealed age-dependent variations in delirium prevalence, with rates of 20 %, 25 %, and 34 % for ages 60-64, 65-74, and 75-79, respectively. Delirium prevalence varied by assessment duration (7 days: 31 %, >7 days: 24 %, <7 days: 20 %). Initial screening significantly reduced reported prevalence to 15 %, compared with 30 % when no initial screening was conducted. Delirium prevalence was lower when nurses were involved in assessments (13 % vs. 29 %). No significant effects were detected for economic status, publication year, female percentage, onset-to-admission time, stroke type, and assessment frequency. Meta-regression analysis revealed that higher delirium prevalence was associated with increased survivors' age (β = 0.051; 95 % CI, -0.0002 to 0.103; P = 0.05; R2 = 13.36 %).

CONCLUSION

A high prevalence of post-stroke delirium was observed in acute settings. Nurses are required to integrate and coordinate the prevention, early detection, and management of delirium following stroke into their nursing practice, particularly for older stroke survivors. The findings necessitate the need for incorporating specialized training within nursing education to identify and manage the delirium effectively and accurately. This reinforces the pivotal role of nurses in the early detection and prevention of delirium within the acute stroke care continuum.

REGISTRATION

The protocol was registered on PROSPERO (CRD42022352097).

TWEETABLE ABSTRACT

Evidence suggests 25 % prevalence of post-stroke delirium in acute settings, with higher rates in older patients, emphasizing the need for prevention, early detection, and management in nursing practice.

The effectiveness of preoperative delirium prevention in intermediate to high-risk older surgical patients: A systematic review

BACKGROUND

Few reviews have addressed delirium prevention among intermediate to high-risk older surgical patients.

AIMS

To map preoperative delirium prevention interventions for older surgical patients at intermediate to high risk of developing delirium, assess outcomes and identify gaps in knowledge.

DESIGN

Systematic narrative review of randomised controlled trials reported following the PRISMA checklist.

METHODS

A systematic search was conducted of the literature published from 1990 to October 2022 in Medline, CINAHL and Ageline and of the grey literature in Google Scholar. Randomised controlled trials were retrieved that assessed the effectiveness of preoperative delirium prevention interventions for older surgical patients at intermediate to high risk of delirium. Data were extracted using a data extraction tool, and results were tabulated. Studies were assessed for bias using the Cochrane Collaboration Risk of Bias tool.

RESULTS

Twenty-one studies met the selection criteria including N = 5096 participants. Two studies tested cognitive training, two studies tested fascia iliaca compartment block and one study assessed femoral nerve block. Ten studies tested prophylactic medications including methylprednisolone. Five studies investigated geriatric assessment and management. One study assessed transcutaneous electrical acupoint stimulation. In the two studies testing fascia iliaca compartment block, there was a reduction in postoperative delirium for orthopaedic patients. Methylprednisolone reduced postoperative delirium in orthopaedic patients and in those undergoing gastrointestinal surgery. Results of all other interventions on the occurrence of postoperative delirium and additional outcomes including the severity and duration of delirium were inconclusive.

CONCLUSIONS

Despite the promising results for fascia iliaca compartment block and methylprednisolone, there is limited knowledge regarding evidence-based delirium prevention interventions. Most studies had small sample sizes indicating that the current evidence is exploratory. There is an urgent need for the funding and conduct of trials to test preventative interventions for older surgical patients at intermediate to high risk of developing delirium.

The evaluation of frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults'

BACKGROUND

Delirium is a common complication in hospitalized older adults with multifactorial etiology and poor health outcomes.

AIM

To determine the frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults.

METHODS

A prospective observational study was performed in patients aged ≥60 years consecutively admitted to geriatric ward. Potential risk factors were assessed within 24 hours of hospital admission. Delirium screening was performed on admission and daily thereafter throughout the hospital stay using Confusion Assessment Method (CAM). Patients were followed up at 1-year post-discharge.

RESULTS

The study included 200 patients with mean age 73.1 ± 8.83 years. Incidence and prevalence rate of delirium were 5% and 20% respectively. Multivariable regression analysis revealed emergency admission (OR= 5.12 (1.94-13.57), p=0.001), functional dependency (Katz index of Independence in Activities of Daily Living (Katz-ADL) score <5) 2 weeks before admission (OR= 3.08 (1.30-7.33), p=0.011) and more psychopathological symptoms (higher Brief Psychiatric Rating Scale (BPRS) total score) (OR=1.12 (1.06-1.18), p=0.001) to be independently associated with delirium. Patients in delirium group had significantly high in-hospital mortality (OR= 5.02 (2.12-11.8), p=0.001) and post-discharge mortality (HR= 2.02 (1.13-3.61), p=0.017) and functional dependency (Katz-ADL score <5) (OR= 5.45 (1.49-19.31), p=0.01) at 1-year follow up.

CONCLUSION

Delirium is quite frequent in geriatric inpatients and is associated with high in-hospital and post-discharge mortality risk and long-term functional dependency. Emergency admission, pre-hospitalization functional dependency, and more general psychopathological symptoms are independently associated factors. Hence, earliest identification and treatment with early implementation of rehabilitation services is warranted.

Level of implementation of pain management and early mobilization strategies to prevent delirium in geriatric trauma patients: A mixed-methods study

BACKGROUND

Pain management and early mobilization strategies are recommended in clinical practice guidelines for the prevention of delirium in older adults. However, available data on the implementation of these strategies in trauma are limited.

AIMS

To describe the use of pain management and early mobilization strategies in older adults at a level I trauma center, as well as the facilitators and barriers to their implementation.

METHODS

A convergent mixed methods study was used. Quantitative data were collected from sixty medical records. Qualitative data was collected through a focus group with healthcare providers to explore their perspectives regarding the use of the target practices and on barriers and facilitators to their implementation. Descriptive statistics were calculated, and a thematic analysis using an inductive and deductive interpretative descriptive approach was undertaken.

RESULTS

A question on the presence/absence of pain was the most frequently documented pain assessment method. Pain assessment was poorly documented. Frequencies of non-opioid and opioid administrations were similar, but non-pharmacological strategies were not widely used. The first mobilization was performed quickly and was most commonly to a chair. The focus group discussion confirmed many of the data collected in the medical records. Barriers to implementing the targeted strategies were primarily related to organizational context and facilitation processes.

CONCLUSIONS

Areas for improvement were identified including pain assessment, the use of non-pharmacological pain management strategies and ambulation as a mobilization strategy. Our findings will serve as a starting point for optimizing and adapting practices for geriatric trauma patients and evaluating their impact.

A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records

BACKGROUND

Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients.

METHODS

The electronic medical information of the cardiac surgical intensive care unit (CSICU) was extracted from a tertiary and major referral hospital in southern China over 1 year, from June 2019 to June 2020. A total of 507 patients admitted to the CSICU after cardiac valve surgery were included in this study. Seven classical machine learning algorithms (Random Forest Classifier, Logistic Regression, Support Vector Machine Classifier, K-nearest Neighbors Classifier, Gaussian Naive Bayes, Gradient Boosting Decision Tree, and Perceptron.) were used to develop delirium prediction models under full (q = 31) and selected (q = 19) feature sets, respectively.

RESULT

The Random Forest classifier performs exceptionally well in both feature datasets, with an Area Under the Curve (AUC) of 0.92 for the full feature dataset and an AUC of 0.86 for the selected feature dataset. Additionally, it achieves a relatively lower Expected Calibration Error (ECE) and the highest Average Precision (AP), with an AP of 0.80 for the full feature dataset and an AP of 0.73 for the selected feature dataset. To further evaluate the best-performing Random Forest classifier, SHAP (Shapley Additive Explanations) was used, and the importance matrix plot, scatter plots, and summary plots were generated.

CONCLUSIONS

We established machine learning-based prediction models to predict POD in patients undergoing cardiac valve surgery. The random forest model has the best predictive performance in prediction and can help improve the prognosis of patients with POD.

Development and evaluation of a concise nurse-driven non-pharmacological delirium reduction workflow for hospitalized patients: An interrupted time series study

We created a concise nurse-driven delirium reduction workflow with the aim of reducing delirium rates and length of stay for hospitalized adults. Our nurse-driven workflow included five evidence-based daytime "sunrise" interventions (patient room lights on, blinds up, mobilization/out-of-bed, water within patient's reach and patient awake) and five nighttime "turndown" interventions (patient room lights off, blinds down, television off, noise reduction and pre-set bedtime). Interventions were also chosen because fidelity could be quickly monitored twice daily without patient interruption from outside the room. To evaluate the workflow, we used an interrupted time series study design between 06/01/17 and 05/30/22 to determine if the workflow significantly reduced the unit's delirium rate and average length of stay. Our workflow is feasible to implement and monitor and initially significantly reduced delirium rates but not length of stay. However, the reduction in delirium rates were not sustained following the emergence of the COVID-19 pandemic.

Usefulness of dalbavancin in early discharge and nonhospitalization. It's time to throw your heart over the obstacle?

Introduction

Dalbavancin is a semisynthetic lipoglycopeptide long-acting antibiotic approved for the treatment of acute bacterial skin and skin structure infections (ABSSSIs). Its features can be useful in the current healthcare scenario characterized by the shortage of available hospital beds.

Materials methods and results

We implemented several actions in order to optimize the use of dalbavancin allowing an improvement strategy both from the healthcare system and the patient's perspective in two hospital settings. In the Emergency Department we hospitalized only patients who met the clinical criteria and not the logistic criteria (i.e., the need for antibiotic therapy infusion). During the years 2017-2023, this strategy was applied in 40 cases, thus avoiding 40 hospitalizations for a total saving of 280 days of hospitalization.In the Internal Medicine ward and surgery department when there was no longer any need for hospitalization, we discharged the patient as early as possible. During the years 2017-2023, this strategy was applied in 189 cases, saving at least 1,134 days of hospitalization. The outcome of the treated patients was favorable in 228 out of 229 patients (99.5%).

Conclusions

Our experience using dalbavancin in ABSSSI has been very satisfactory overall. The efficacy was close to 100%. Minor adverse events of slight severity occurred rarely. At the same time, this strategy allowed a more efficient allocation of hospital beds. Dalbavancin presents an ideal pharmacodynamic/pharmacokinetic profile for the management of ABSSSI especially in settings where shortage of hospital beds is critical.

Delirium Prevention in Early Rehabilitation During Acute Hospitalization and Implementation of Programs Specifically Tailored to Older Patients with Cognitive Impairment: A Scoping Review with Meta-Analysis

BACKGROUND

No systematic review on delirium prevention within early, hospital-based rehabilitation on implementation of approaches specifically tailored for patients with cognitive impairment (PwCI), such as Alzheimer's disease or vascular dementia, has been published despite the high relevance of specific medical care in this vulnerable population.

OBJECTIVE

To document design and effectiveness of delirium prevention programs by early rehabilitation during acute, hospital-based medical care and implementation of programs specifically tailored to PwCI.

METHODS

In a three-step approach, we first identified published systematic reviews of hospital-based, early rehabilitation interventions for older persons (>65 years) in relevant databases. In a second step, we screened each single trial of included reviews according to predefined inclusion criteria. In a third step, we analyzed studies with focus on delirium prevention.

RESULTS

Among n = 25 studies identified, almost all intervention programs did not specifically target cognitive impairment (CI). Interventions were heterogeneous (modules: n = 2-19); almost all study samples were mixed/unspecified for cognitive status with more affected patients excluded. Only one study exclusively included delirium patients, and only one included CI patients. Results of random effect meta-analysis showed significant effects of generic programs to reduce delirium incidence during hospitalization by 41% (p < 0.001, odds ratio, 95% confidence interval: 0.59 [0.49, 0.71] with modest heterogeneity (I2: 30%).

CONCLUSIONS

Study results document a lack of implementation for delirium prevention programs specifically tailored to PwCI by early, hospital-based rehabilitation. Specifying existing rehab concepts or augmenting them by CI-specific modules may help to develop, optimize, and implement innovative delirium prevention in PwCI in acute medical care.

Risk factors, preventive interventions, overlapping symptoms, and clinical measures of delirium in elderly patients

Delirium is an acute reversible neuropsychiatric syndrome caused by multiple factors. It is associated with many adverse clinical outcomes including cognitive impairment, functional decline, prolonged hospitalization, and increased nursing service. The prevalence of delirium was high in department of cardiology, geriatric, and intensive care unit of hospital. With the increase in the aged population, further increases in delirium seem likely. However, it remains poorly recognized in the clinical practice. This article comprehensively discusses the latest research perspectives on the epidemiological data, risk factors, preventive interventions, overlapping symptoms, and clinical measures of delirium, including specific measures to manage delirium in clinical real-world situations. This article helps readers improve their knowledge and understanding of delirium and helps clinicians quickly identify and implement timely therapeutic measures to address various delirium subtypes that occur in the clinical settings to ensure patients are treated as aggressively as possible.

Deep brain stimulation in PD: risk of complications, morbidity, and hospitalizations: a systematic review

Introduction

Parkinson's disease (PD) is a progressive and debilitating neurological disorder. While dopaminergic medication improves PD symptoms, continued management is complicated by continued symptom progression, increasing medication fluctuations, and medication-related dyskinesia. Deep brain stimulation (DBS) surgery is a well-accepted and widespread treatment often utilized to address these symptoms in advanced PD. However, DBS may also lead to complications requiring hospitalization. In addition, patients with PD and DBS may have specialized care needs during hospitalization.

Methods

This systematic review seeks to characterize the complications and risk of hospitalization following DBS surgery. Patient risk factors and modifications to DBS surgical techniques that may affect surgical risk are also discussed.

Results

It is found that, when candidates are carefully screened, DBS is a relatively low-risk procedure, but rate of hospitalization is somewhat increased for DBS patients.

Discussion

More research is needed to determine the relative influence of more advanced disease vs. DBS itself in increased rate of hospitalization, but education about DBS and PD is important to insure effective patient care within the hospital.

Psychological Issues

Psychological distress is common following a burn injury, and many burn survivors have pre-morbid psychiatric illnesses including mood and trauma-related disorders, and substance and alcohol use. This article is intended to be used by all interdisciplinary health care team members to improve the identification and treatment of common psychological concerns experienced by survivors and is organized to follow the general recovery timeline.

Towards experimental models of delirium utilizing zebrafish

Delirium is an acute neuropsychiatric condition characterized by impaired behavior and cognition. Although the syndrome has been known for millennia, its CNS mechanisms and risk factors remain poorly understood. Experimental animal models, especially rodent-based, are commonly used to probe various pathogenetic aspects of delirium. Complementing rodents, the zebrafish (Danio rerio) emerges as a promising novel model organism to study delirium. Zebrafish demonstrate high genetic and physiological homology to mammals, easy maintenance, robust behaviors in various sensitive behavioral tests, and the potential to screen for pharmacological agents relevant to delirium. Here, we critically discuss recent developments in the field, and emphasize the developing utility of zebrafish models for translational studies of delirium and deliriant drugs. Overall, the zebrafish represents a valuable and promising aquatic model species whose use may help understand delirium etiology, as well as develop novel therapies for this severely debilitating disorder.

Multiparametric Evaluation of Geriatric Patients Admitted to Intermediate Care: Impact on Geriatric Rehabilitation

Optimizing the functional status of patients of any age is a major global public health goal. Rehabilitation is a process in which a person with disabilities is accompanied to achieve the best possible physical, functional, social, intellectual, and relational outcomes. The Intermediate Care Unit within the O.U. of Geriatrics and Gerontology of the San Martino Hospital in Genoa is focused on the treatment and motor reactivation of patients with geriatric pathologies. The objective of this study was to identify which factor, among the characteristics related to the patient and those identified by the geriatric evaluation, had the greatest impact on rehabilitation outcomes. Our findings revealed significant correlations between the Barthel Index delta, the 4AT Screening Test, and the number of drugs taken. This association highlights the potential benefits of medication management in enhancing the overall well-being and functional abilities of frail older adults, despite the literature suggesting that polypharmacotherapy is associated with a reduction in functional status and an increase in mortality. These findings underscore the significance of a multidimensional geriatric assessment. Refining and optimising these multidisciplinary approaches is the objective of a more effective geriatric rehabilitation strategy.

A critical appraisal and recommendation synthesis of delirium clinical practice guidelines relevant to the care of older adults in the emergency department: An umbrella review

RATIONALE

Older adults are at high risk of developing delirium in the emergency department (ED); however, it is often missed or undertreated. Improving ED delirium care is challenging in part due to a lack of standards to guide best practice. Clinical practice guidelines (CPGs) translate evidence into recommendations to improve practice.

AIM

To critically appraise and synthesize CPG recommendations for delirium care relevant to older ED patients.

METHODS

We conducted an umbrella review to retrieve relevant CPGs. Quality of the CPGs and their recommendations were critically appraised using the Appraisal of Guidelines, Research, and Evaluation (AGREE)-II; and Appraisal of Guidelines Research and Evaluation-Recommendations Excellence (AGREE-REX) instruments. A threshold of 70% or greater in the AGREE-II Rigour of Development domain was used to define high-quality CPGs. Delirium recommendations from CPGs meeting this threshold were included in the synthesis and narrative analysis.

RESULTS

AGREE-II Rigour of Development scores ranged from 37% to 83%, with 5 of 10 CPGs meeting the predefined threshold. AGREE-REX overall calculated scores ranged from 44% to 80%. Recommendations were grouped into screening, diagnosis, risk reduction, and management. Although none of the included CPGs were ED-specific, many recommendations incorporated evidence from this setting. There was agreement that screening for nonmodifiable risk factors is important to define high-risk populations, and those at risk should be screened for delirium. The '4A's Test' was the recommended tool to use in the ED specifically. Multicomponent strategies were recommended for delirium risk reduction, and for its management if it occurs. The only area of disagreement was for the short-term use of antipsychotic medication in urgent situations.

CONCLUSION

This is the first known review of delirium CPGs including a critical appraisal and synthesis of recommendations. Researchers and policymakers can use this synthesis to inform future improvement efforts and research in the ED.

REGISTRATION

This study has been registered in the Open Science Framework registries: https://doi.org/10.17605/OSF.IO/TG7S6OSF.IO/TG7S6.

Post-stroke delirium and challenges for the rehabilitation setting: A narrative review

INTRODUCTION

Post-stroke delirium (PSD) is a common yet underrecognized complication following stroke, with its effect on stroke rehabilitation being the subject of limited attention. The objective of this narrative review is to provide an overview of core issues in PSD including epidemiology, diagnostic challenges, and management considerations, with an emphasis on the rehabilitation phase.

METHODS

Ovid Medline and Google Scholar were searched through February 2023 using keywords related to delirium, rehabilitation, and the post-stroke period. Only studies conducted on adults (≥18 years) and written in the English language were included.

RESULTS

PSD affects approximately 25% of stroke patients, and often persists well into the post-acute phase, with a negative impact on rehabilitation outcomes including lengths of stay, function, and cognition. Certain stroke and patient characteristics can help predict risk for PSD. The diagnosis of delirium becomes more challenging when superimposed on stroke deficits (such as attentional impairment or other cognitive, psychiatric, or behavioural disorders), leading to underdiagnosis, overdiagnosis, or misdiagnosis. Particularly in patients with post-stroke language or cognitive disorders, common screening tools are less accurate. The multidisciplinary rehabilitation team should be involved in management of PSD as rehabilitative activities can be beneficial for patients who can participate safely. Addressing barriers to effective delirium care at various levels of the health care system can improve rehabilitation trajectories for these patients.

CONCLUSIONS

PSD is a disease entity commonly encountered in the rehabilitation setting, but it is challenging to diagnose and manage. New delirium screening tools and management approaches specific for the post-stroke and rehabilitation settings are needed.

Detecting delirium: a systematic review of ultrabrief identification instruments for hospital patients

Objective

Early identification of delirium, which often occurs in older patients, can effectively reduce adverse prognoses. One way to increase the detection rate of delirium is to use an effective ultrabrief instrument for higher-frequency screening. The purpose of this review is to evaluate the diagnostic accuracy of ultrabrief screening tools for delirium.

Methods

The Cochrane Library, PubMed and EMBASE were searched from January 1, 1974, to November 31, 2022. We assessed the measurement properties of screening instruments using the consensus-based standards for selecting health measurement instruments (COSMIN) checklist and evaluated the risk bias of the included studies using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. The diagnostic test accuracy of instruments for delirium was reported using sensitivity, specificity, positive likelihood ratio (PLR) and negative likelihood ratio (NLR).

Result

Of the 4,914 items identified, 26 met the eligibility criteria, resulting in 5 different delirium identification tools. The overall study quality assessed by the QUADAS-2 tool was moderate to good. Of the five screening tools, two instruments had sensitivity ≥80% and specificities ≥80%: 4AT and UB-2. The most comprehensive is the 4AT scale, which has a sensitivity of 0.80 [95% confidence interval (CI):0.68, 0.88] and a specificity of 0.89 (95%CI: 0.83, 0.93) and contains 4 items. UB-2 has a sensitivity of 0.88 (95%CI: 0.72, 0.96) and a specificity of 0.64 (95%CI: 0.56, 0.70).

Conclusion

UB-2 and MOTYB had excellent sensitivity for delirium screening at an early stage. In terms of sensitivity and intentionality, the 4AT is the best recommended scale.

Documentation and diagnosis of delirium in Parkinson's disease

OBJECTIVE

To assess the accuracy of documentation of the symptoms and diagnosis of delirium in medical notes of inpatients with Parkinson's disease (PD).

METHODS

The DETERMINE-PD pilot study assessed PD inpatients over 4-months. Delirium prevalence was classified prospectively using a standardized assessment at a single visit on the basis of Diagnostic and Statistical Manual of Mental Disorders 5th Edition (DSM-5) criteria. Incident delirium was diagnosed retrospectively using detailed clinical vignettes and validated consensus method. Inpatient medical notes and discharge summaries of those with delirium were reviewed for documentation of symptoms, diagnosis and follow-up.

RESULTS

Forty-four PD patients consented to take part in the study, accounting for 53 admissions. We identified 30 cases (56.6%) of delirium during the participants' stay in hospital. Of those with delirium identified by the research team, delirium symptoms were documented in the clinical notes of 72.3%; 37.9% had a delirium diagnosis documented. Older patients were more likely to have delirium (p = 0.027) and have this diagnosis documented (p = 0.034). Time from documentation of symptoms to diagnosis ranged from <24 h to 7 days (mean 1.6 ± 4.4 days). Hypoactive delirium was significantly less likely to have been identified and formally diagnosed (63% of not documented were hypoactive vs. 37% hyperactive, mixed or unclear, p = 0.016). Only 11.5% of discharge summaries included diagnosis of delirium.

CONCLUSION

Delirium in PD is common. Documentation of symptoms of delirium was common; however, fails to lead to a documentation of diagnosis in over half of admissions with delirium and was even less commonly communicated in the Primary Care discharge summaries. This highlights the need for increased education about delirium symptomatology and diagnosis in PD.

Managing delirium in acute inpatient units: A cross-sectional study of nursing teams' knowledge and perceived limitations

AIM

The aim of the study was to describe nursing teams' theoretical knowledge of delirium and their perceptions of the way in which it is handled in acute inpatient units.

DESIGN

This is a descriptive cross-sectional study using a questionnaire comprising ten questions on knowledge and seven on perception.

METHODS

The sample consisted of 216 professionals working at a hospital complex in Madrid, Spain. Descriptive and non-parametric bivariate analyses were performed for a p < .05.

RESULTS

Fifty-three point two per cent of staff possessed sufficient theoretical knowledge, and this figure rose significantly among professionals with more years of experience. Areas for improvement in theoretical knowledge included the use of therapeutic immobilization, screening scale, subtypes of delirium and precipitating factors. Sixty-eight point five per cent of staff perceived their knowledge as fair, 50% agreed that delirium was underdiagnosed and 48.1% agreed that preventive measures were only occasionally taken. Perceived barriers included lack of training, work overload, ineffective coordination and lack of standardized protocols.

Natural Language Processing CAM Algorithm Improves Delirium Detection Compared With Conventional Methods

Delirium is known to be underdiagnosed and underdocumented. Delirium detection in retrospective studies occurs mostly by clinician diagnosis or nursing documentation. This study aims to assess the effectiveness of natural language processing-confusion assessment method (NLP-CAM) algorithm when compared to conventional modalities of delirium detection. A multicenter retrospective study analyzed 4351 COVID-19 hospitalized patient records to identify delirium occurrence utilizing three different delirium detection modalities namely clinician diagnosis, nursing documentation, and the NLP-CAM algorithm. Delirium detection by any of the 3 methods is considered positive for delirium occurrence as a comparison. NLP-CAM captured 80% of overall delirium, followed by clinician diagnosis at 55%, and nursing flowsheet documentation at 43%. Increase in age, Charlson comorbidity score, and length of hospitalization had increased delirium detection odds regardless of the detection method. Artificial intelligence-based NLP-CAM algorithm, compared to conventional methods, improved delirium detection from electronic health records and holds promise in delirium diagnostics.

Fatores de risco associados ao delirium em idosos hospitalizados para tratamento clínico

Objetivo: identificar fatores de risco associados ao desenvolvimento de delirium em pessoas idosas hospitalizadas para tratamento clínico. Método: revisão integrativa da literatura. Busca realizada em fevereiro de 2022 através da aplicação de estratégia de busca em portais e bases de dados eletrônicas, como a Biblioteca Virtual em Saúde, o PubMed/MEDLINE e o Web of Science. Resultados: a busca resultou em 965 artigos. Após retirada de duplicatas, 583 tiveram títulos e resumos lidos. Respeitados critérios de elegibilidade, chegou-se a 127 estudos para leitura completa, dos quais 110 foram excluídos e 17 analisados, totalizando amostra de 6.170 pacientes. Foram incluídos estudos com pacientes ≥ 60 anos de idade, tratamento clínico, avaliação de fatores de risco para delirium; e excluídos estudos que utilizaram instrumentos não validados, relatos de casos, teses, monografias, artigos de revisão ou que não responderam à questão de pesquisa. Os fatores de risco mais encontrados foram a presença de déficit cognitivo e demência. Outros fatores também encontrados foram: idade avançada, presença de febre/infecção, desidratação, déficit funcional, uso de psicotrópicos antes do internamento, severidade das doenças de base, polifarmácia, déficit visual, dor ao repouso, presença de diabetes mellitus, fragilidade e tempo de internamento na emergência. Conclusões: os estudos apontam diversos fatores de risco associados ao delirium e destacam a relevância do reconhecimento do delirium pela equipe assistencial. Ação rápida e eficaz na prevenção do delirium em idosos depende da sua identificação. A equipe de saúde deve estar atenta durante o cuidado de populações vulneráveis para que o rastreio de sinais, muitas vezes flutuantes, seja facilitado.

A critical appraisal of delirium clinical practice guidelines relevant to the care of older adults in the emergency department with a synthesis of recommendations: an umbrella review protocol

BACKGROUND

Up to 35% of older adults present to the emergency department (ED) with delirium or develop the condition during their ED stay. Delirium associated with an ED visit is independently linked to poorer outcomes such as loss of independence, increased length of hospital stay, and mortality. Improving the quality of delirium care for older ED patients is hindered by a lack of knowledge and standards to guide best practice. High-quality clinical practice guidelines (CPGs) have the power to translate the complexity of scientific evidence into recommendations to improve and standardize practice. This study will identify and synthesize recommendations from high-quality delirium CPGs relevant to the care of older ED patients.

METHODS

We will conduct a multi-phase umbrella review to retrieve relevant CPGs. Quality of the CPGs and their recommendations will be critically appraised using the Appraisal of Guidelines, Research, and Evaluation (AGREE)-II; and Appraisal of Guidelines Research and Evaluation - Recommendations Excellence (AGREE-REX) instruments, respectively. We will also synthesize and conduct a narrative analysis of high-quality CPG recommendations.

DISCUSSION

This review will be the first known evidence synthesis of delirium CPGs including a critical appraisal and synthesis of recommendations. Recommendations will be categorized according to target population and setting as a means to define the bredth of knowledge in this area. Future research will use consensus building methods to identify which are most relevant to older ED patients.

TRIAL REGISTRATION

This study has been registered in the Open Science Framework registries: https://doi.org/10.17605/OSF.IO/TG7S6 .

Prescriptions of Antipsychotics in Younger and Older Geriatric Patients with Polypharmacy, Their Safety, and the Impact of a Pharmaceutical-Medical Dialogue on Antipsychotic Use

Geriatric patients are a particularly vulnerable and, at the same time, very heterogeneous group due to their multimorbidity and polypharmacy. Antipsychotics are often prescribed in their complex drug regimens, whereby the prescription of antipsychotics is not without controversy. To date, questions remain as to whether there are differences in the prescribing pattern, safety, and impact of a consultant pharmacist regarding antipsychotic use between younger and older geriatric patients in the heterogenic geriatric group. This monocentric study of 744 patients was based on the analysis of routine data collected from January 2018 to June 2020 in a geriatric department during a weekly pharmaceutical and medical consultation. The frequency of the prescription of antipsychotics in our study was 30.7%. Regarding antipsychotic safety and/or adverse drug reaction (ADR) antipsychotics, only a difference in terms of overuse in younger geriatric patients was found. The binary logistic regression analyses of geriatric patients with antipsychotics revealed that ADRs and drug-drug interactions (DDIs) were particularly related to the number of medications prescribed. The higher the number of prescribed drugs, the higher the risk of ADRs and DDIs. In 26.7% of geriatric patients on antipsychotics, the pharmacist made recommendations that were almost exclusively implemented by the physician, with no difference made between the two age groups. The prescriptions of antipsychotics in geriatric patients with polypharmacy, their safety, and the impact of a pharmaceutical-medical dialogue on the use of antipsychotics seem comparable between younger and older geriatric patients in the geriatric setting. Antipsychotics should always be critically considered and used cautiously, whereby a regular pharmaceutical-medical dialogue is recommended in geriatric settings.

Urinary Tract Infection Induced Delirium in Elderly Patients: A Systematic Review

Urinary tract infection (UTI) is common in older adults, mainly due to several age-related risk factors. Symptoms of UTI are atypical in the elderly population, like hypotension, tachycardia, urinary incontinence, poor appetite, drowsiness, frequent falls, and delirium. UTI manifests more commonly and specifically for this age group as delirium or confusion in the absence of a fever. This systematic review aims to highlight the relationship between UTI and delirium in the elderly population by understanding the pathologies individually and collectively. A systematic review is conducted by searching PubMed with regular keywords and major Medical Subject Heading (MeSH) keywords, Science Direct, and Google Scholar. The inclusion criteria consisted of studies based on male and female human populations above the age of 65 in the English language, available in full text published between 2017 and 2022. However, the exclusion criteria were animal studies, clinical trials, literature published before 2017, and papers published in any other language except English. A total of 106 articles were identified, and nine final studies were selected after a quality assessment, following which a valid relationship between delirium and UTI was identified in this systematic review.

Delirium in older COVID-19 patients: Evaluating risk factors and outcomes

OBJECTIVES

A high incidence of delirium has been reported in older patients with Coronavirus disease 2019 (COVID-19). We aimed to identify determinants of delirium, including the Clinical Frailty Scale, in hospitalized older patients with COVID-19. Furthermore, we aimed to study the association of delirium independent of frailty with in-hospital outcomes in older COVID-19 patients.

METHODS

This study was performed within the framework of the multi-center COVID-OLD cohort study and included patients aged ≥60 years who were admitted to the general ward because of COVID-19 in the Netherlands between February and May 2020. Data were collected on demographics, co-morbidity, disease severity, and geriatric parameters. Prevalence of delirium during hospital admission was recorded based on delirium screening using the Delirium Observation Screening Scale (DOSS) which was scored three times daily. A DOSS score ≥3 was followed by a delirium assessment by the ward physician In-hospital outcomes included length of stay, discharge destination, and mortality.

RESULTS

A total of 412 patients were included (median age 76, 58% male). Delirium was present in 82 patients. In multivariable analysis, previous episode of delirium (Odds ratio [OR] 8.9 [95% CI 2.3-33.6] p = 0.001), and pre-existent memory problems (OR 7.6 [95% CI 3.1-22.5] p < 0.001) were associated with increased delirium risk. Clinical Frailty Scale was associated with increased delirium risk (OR 1.63 [95%CI 1.40-1.90] p < 0.001) in univariable analysis, but not in multivariable analysis. Patients who developed delirium had a shorter symptom duration and lower levels of C-reactive protein upon presentation, whereas vital parameters did not differ. Patients who developed a delirium had a longer hospital stay and were more often discharged to a nursing home. Delirium was associated with mortality (OR 2.84 [95% CI1.71-4.72] p < 0.001), but not in multivariable analyses.

CONCLUSIONS

A previous delirium and pre-existent memory problems were associated with delirium risk in COVID-19. Delirium was not an independent predictor of mortality after adjustment for frailty.

Incidence and interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive units: a retrospective analysis from MIMIC-IV database

BACKGROUND

As delirium is a common problem in critcal elderly patients, the aim of the study was to investigate the interaction factors of delirium as an independent risk of mortality in elderly patients in the intensive care unit (ICU).

PATIENTS AND METHODS

Elderly patients (age ≥ 65) were selected from Medical Information Mart for Intensive Care (MIMIC)-IV database. Demographics data were collected on the 1st day of admission to ICU. The main outcome is in-hospital mortality. Propensity score matching analysis (PSMA) was used to remove the influence of comfounding factors between survival and nonsurvival groups. Chi-square test and logistic regression analysis was used to identify the association between delirium and in-hospital death. Stratified analysis and interaction analysis was used to evaluate the interaction factors of delirium as a risk of in-hospital mortality.

RESULTS

22,361 patients were selected, and in which 2809 patients died. 5453 patients had delirium (about 24.4%). There is a significant difference in delirium between the survival and nonsurvival groups before and after PSMA (p = 0.000 and p = 0.030). Logistic regression showed delirium, sequential organ failure assessment (SOFA), and hemoglobin were all significantly related to in-hospital death (p = 0.000). SOFA score and hemoglobin concentration were proved to be remarkable interaction factors of delirium (p = 0.000, and p = 0.041). Significant correlation between delirium and hospital mortality was inhibited when SOFA was more than 12 or hemoglobin was higher than 15 g/dL. In-hospital mortality (49.1% vs. 10.5%, p = 0.000) and shock incidence (87.9% vs. 15.8%, p = 0.000) of the patients with SOFA ≥ 12 was much higher than that of the patients with SOFA ≤ 11.

CONCLUSION

SOFA and hemoglobin are interaction factors of delirium as an independent risk of in-hospital mortality in elderly patients in the intensive care unit.

Clinical and Epidemiological Approach to Delirium in an Acute Care Unit: A Cross-Sectional Study

During hospital admissions, the union of various factors, those related to acute pathology, dependency conditions, cognitive impairment, change of habitual environment, and others, can cause delirium. Acute delirium in the elderly (ADE) occurs in around a third of patients over 70 years of age. The syndrome generates serious complications that increase hospital morbidity and mortality and a high cost for the health administration. This study aimed to determine the clinical and epidemiological profile of ADE in an internal medicine unit. A descriptive cross-sectional study was carried out using a convenience test. A total of 356 patients participated between September and November 2021. Sociodemographic variables, predisposing and precipitating factors of ADE, methods of action against ADE, and the impact on functional and cognitive deterioration were analyzed. A total of 35.1% of the patients developed ADE, mostly of the hyperactive type and of nocturnal appearance. ADE was mainly treated with psychoactive drugs and 22% required mechanical restraint, with non-pharmacological preventive strategies, support, and caregiver training being the main tools for controlling ADE during hospital admission.

Falls in oldest-old adults hospitalized in acute geriatric ward

PURPOSE

The study aims to identify risk factors for falling among acutely ill older patients, hospitalized in acute geriatric ward.

METHODS

A retrospective study of 260 cases of patients who had fallen and 439 controls was conducted in a geriatric ward. We retrieved from the electronic hospital records data including patient demographics, medical diagnoses, and laboratory results, and drugs taken prior to the fall were reviewed. In addition, data on functional and cognitive status were recorded. Admission Morse Falls Scale for every patient was also retrieved.

RESULTS

The following on-admission diagnoses were associated with a higher incidence of falls during hospitalization: hypertension (84% vs. 38%), congestive heart failure (CHF), 74% vs 16%, dementia (36% vs. 5%), and delirium (36% vs 5%). A higher percentage of fallers compared to controls consumed beta blockers (69% vs. 53%), benzodiazepines (46% vs. 32%), antidepressants (33% vs. 23%), oral diabetes drugs (20% vs. 11%) and opiates (8% vs. 4%). On-admission Morse Falls Scale score was found to be higher in the patients who fell (59 vs.53). The strongest predictors of falling during hospitalization were CHF, hypertension, dementia, delirium, assisted mobility and dependence.

CONCLUSION

A systematic screening of risk factors for falls and identification of them might contribute to reducing the risk associated with falls during hospitalization.

Postoperative delirium is an independent factor influencing the length of stay of elderly patients in the intensive care unit and in hospital

Purpose

Postoperative delirium (POD) is an often unrecognized adverse event in older people after surgery. The aim of this subgroup analysis of the PRe-Operative Prediction of postoperative DElirium by appropriate SCreening (PROPDESC) trial in patients aged 70 years and older was to identify preoperative risk factors and the impact of POD on length of stay (LOS) in intensive care unit (ICU) and hospital.

Methods

Of the total 1097 patients recruited at a German university hospital (from September 2018 to October 2019) in the PROPDESC prospective observational study, 588 patients aged 70 years and older (mean age 77.2 ± 4.7 years) were included for subgroup analysis. The primary endpoint POD was considered positive if one of the following tests were positive on any of the five postoperative visit days: Confusion Assessment Method for ICU (CAM-ICU), Confusion Assessment Method (CAM), 4'A's (4AT) and Delirium Observation Scale (DOS). Trained doctoral students carried out these visitations and additionally the nursing staff were interviewed for completion of the DOS. To evaluate the independent effect of POD on LOS in ICU and in hospital, a multi-variable linear regression analysis was performed.

Results

The POD incidence was 25.9%. The results of our model showed POD as an independent predictor for a prolonged LOS in ICU (36%; 95% CI 4–78%; < 0.001) and in hospital (22%; 95% CI 4–43%; < 0.001).

Conclusion

POD has an independent impact on LOS in ICU and in hospital. Based on the effect of POD for the elderly, a standardized risk screening is required.

Trail registration

German Registry for Clinical Studies: DRKS00015715.

Successful management of delirium with dexmedetomidine in a patient with haloperidol-induced neuroleptic malignant syndrome: A case report

BACKGROUND

We report a case of lorazepam-induced agitated delirium treated with haloperidol, which in turn triggered the onset of neuroleptic malignant syndrome (NMS). The latter condition, a medical emergency, was effectively treated with medical treatment and dexmedetomidine, a versatile and highly selective short-acting alpha-2 adrenergic agonist with sedative-hypnotic and anxiolytic effects.

CASE SUMMARY

A 65-year-old man with a history of bipolar disorder presented to the emergency department with severe abdominal discomfort after binge eating. During his hospital stay, he received intravenous lorazepam for insomnia. On the next day, he became delirious and was thus treated with seven doses (5 mg each) of haloperidol over a 48 h period. Signs of NMS (hyperthermia, rigidity, myoclonus of upper limbs, impaired consciousness, tachypnea, and dark urine) became apparent and haloperidol was immediately suspended and brisk diuresis was initiated. On intensive care unit admission, he was confused, disoriented, and markedly agitated. Dexmedetomidine infusion was started with the goal of achieving a Richmond Agitation-Sedation Scale score of -1 or 0. NMS was resolved gradually and the patient stabilized, permitting discontinuation of dexmedetomidine after 3 d.

CONCLUSION

Dexmedetomidine may be clinically helpful for the management of NMS, most likely because of its sympatholytic activity.

Association between Vitamin D Deficiency and Prognosis after Hip Fracture Surgery in Older Patients in a Dedicated Orthogeriatric Care Pathway

OBJECTIVES

Vitamin D deficiency is common in patients undergoing hip fracture surgery (HFS) and has been found to be associated with poor post-operative outcome in other settings. This study aimed to analyze the association between vitamin D status and prognosis after HFS.

DESIGN

Observational, prospective, single-center study.

SETTING AND PARTICIPANTS

All patients admitted in a peri-operative geriatric unit between 2009 and 2020 for HFS were included.

MEASUREMENTS

A moderate vitamin D deficiency was defined by a vitamin D level between 25 and 75 nmol/l and a severe deficiency by a vitamin D level <25 nmol/l. Primary endpoint was mortality 6 months after surgery. Secondary endpoints were bacterial infections and delirium during hospitalization. Odds ratio (OR) and 95% confidence interval (95%CI) were computed using logistic regression models with adjustment for confounders.

RESULTS

1197 patients were included (median age 87 years, IQR [82-91]). Median vitamin D level was 55 nmol/l (IQR [30-75 nmol/l]). Moderate and severe vitamin D deficiencies were reported in 53% and 21% of patients, respectively. There was no significant association between moderate or severe vitamin D deficiencies and 6-month mortality (OR 0.91, 95%CI [0.59-1.39], and OR 1.31, 95%CI [0.77-2.22], respectively), bacterial infection (OR 0.89, 95%CI [0.60-1.31] and OR 1.55, 95%CI [0.99-2.41], respectively), nor delirium (OR 1.03, 95%CI [0.75-1.40], and OR 1.05, 95%CI [0.70-1.57], respectively).

CONCLUSION

Vitamin D deficiency was not associated with mortality, bacterial infection or delirium after HFS. Our results suggest that comorbidities, functional status and post-operative complications are the main determinants of post-operative outcome after HFS.

Postoperative delirium after cardiac surgery of elderly patients as an independent risk factor for prolonged length of stay in intensive care unit and in hospital

Background

Postoperative delirium (POD) is a relevant and underdiagnosed complication after cardiac surgery that is associated with increased intensive care unit (ICU) and hospital length of stay (LOS). The aim of this subgroup study was to compare the frequency of tested POD versus the coded International Statistical Classification of Diseases and Related Health Problems (ICD) diagnosis of POD and to evaluate the influence of POD on LOS in ICU and hospital.

Methods

254 elective cardiac surgery patients (mean age, 70.5 ± 6.4 years) at the University Hospital Bonn between September 2018 and October 2019 were evaluated. The endpoint tested POD was considered positive, if one of the tests Confusion Assessment Method for ICU (CAM-ICU) or Confusion Assessment Method (CAM), 4 'A's Test (4AT) or Delirium Observation Scale (DOS) was positive on one day.

Results

POD occurred in 127 patients (50.0%). LOS in ICU and hospital were significantly different based on presence (ICU 165.0 ± 362.7 h; Hospital 26.5 ± 26.1 days) or absence (ICU 64.5 ± 79.4 h; Hospital 14.6 ± 6.7 days) of POD (p < 0.001). The multiple linear regression showed POD as an independent predictor for a prolonged LOS in ICU (48%; 95%CI 31–67%) and in hospital (64%; 95%CI 27–110%) (p < 0.001). The frequency of POD in the study participants that was coded with the ICD F05.0 and F05.8 by hospital staff was considerably lower than tests revealed by the study personnel.

Conclusion

Approximately 50% of elderly patients who underwent cardiac surgery developed POD, which is associated with an increased ICU and hospital LOS. Furthermore, POD is highly underdiagnosed in clinical routine.

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.

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.

Predicting Delirium Risk Using an Automated Mayo Delirium Prediction Tool: Development and Validation of a Risk-Stratification Model

OBJECTIVE

To develop a delirium risk-prediction tool that is applicable across different clinical patient populations and can predict the risk of delirium at admission to hospital.

METHODS

This retrospective study included 120,764 patients admitted to Mayo Clinic between January 1, 2012, and December 31, 2017, with age 50 and greater. The study group was randomized into a derivation cohort (n=80,000) and a validation cohort (n=40,764). Different risk factors were extracted and analyzed using least absolute shrinkage and selection operator (LASSO) penalized logistic regression.

RESULTS

The area under the receiver operating characteristic curve (AUROC) for Mayo Delirium Prediction (MDP) tool using derivation cohort was 0.85 (95% confidence interval [CI], .846 to .855). Using the regression coefficients obtained from the derivation cohort, predicted probability of delirium was calculated for each patient in the validation cohort. For the validation cohort, AUROC was 0.84 (95% CI, .834 to .847). Patients were classified into 1 of the 3 risk groups, based on their predicted probability of delirium: low (≤5%), moderate (6% to 29%), and high (≥30%). In the derivation cohort, observed incidence of delirium was 1.7%, 12.8%, and 44.8% (low, moderate, and high risk, respectively), which is similar to the incidence rates in the validation cohort of 1.9%, 12.7%, and 46.3%.

CONCLUSION

The Mayo Delirium Prediction tool was developed from a large heterogeneous patient population with good validation results and appears to be a reliable automated tool for delirium risk prediction with hospitalization. Further prospective validation studies are required.