Delirium on stroke units: a prospective, multicentric quality-improvement project

A world-wide study on delirium assessments and presence of protocols

BACKGROUND

Delirium is a common complication of older people in hospitals, rehabilitation and long-term facilities.

OBJECTIVE

To assess the worldwide use of validated delirium assessment tools and the presence of delirium management protocols.

DESIGN

Secondary analysis of a worldwide one-day point prevalence study on World Delirium Awareness Day, 15 March 2023.

SETTING

Cross-sectional online survey including hospitals, rehabilitation and long-term facilities.

METHODS

Participating clinicians reported data on delirium, the presence of protocols, delirium assessments, delirium-awareness interventions, non-pharmacological and pharmacological interventions, and ward/unit-specific barriers.

RESULTS

Data from 44 countries, 1664 wards/units and 36 048 patients were analysed. Validated delirium assessments were used in 66.7% (n = 1110) of wards/units, 18.6% (n = 310) used personal judgement or no assessment, and 10% (n = 166) used other assessment methods. A delirium management protocol was reported in 66.8% (n = 1094) of wards/units. The presence of protocols for delirium management varied across continents, ranging from 21.6% (on 21/97 wards/units) in Africa to 90.4% (235/260) in Australia, similar to the use of validated delirium assessments with 29.6% (29/98) in Africa to 93.5% (116/124) in North America. Wards/units with a delirium management protocol [n = 1094/1664, 66.8%] were more likely to use a validated delirium test than those without a protocol [odds ratio 6.97 (95% confidence interval 5.289-9.185)]. The presence of a delirium protocol increased the chances for valid delirium assessment and, likely, evidence-based interventions.

CONCLUSION

Wards/units that reported the presence of delirium management protocols had a higher probability of using validated delirium assessments tools to assess for delirium.

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.

Identification and information management of cognitive impairment of patients in acute care hospitals: An integrative review

Objectives

Recognition of the cognitive status of patients is important so that care can be tailored accordingly. The objective of this integrative review was to report on the current practices that acute care hospitals use to identify people with cognitive impairment and how information about cognition is managed within the healthcare record as well as the approaches required and recommended by policies.

Methods

Following Whittemore & Knafl's five-step method, we systematically searched Medline, CINAHL, and Scopus databases and various grey literature sources. Articles relevant to the programs that have been implemented in acute care hospitals regarding the identification of cognitive impairment and management of cognition information were included. The Mixed Methods Appraisal Tool and AACODS (Authority, Accuracy, Coverage, Objectivity, Date, Significance) Checklist were used to evaluate the quality of the studies. Thematic analysis was used to present and synthesise results. This review was pre-registered on PROSPERO ( CRD42022343577).

Results

Twenty-two primary studies and ten government/industry publications were included in the analysis. Findings included gaps between practice and policy. Although identification of cognitive impairment, transparency of cognition information, and interaction with patients, families, and carers (if appropriate) about this condition were highly valued at a policy level, sometimes in practice, cognitive assessments were informal, patient cognition information was not recorded, and interactions with patients, families, and carers were lacking.

Discussion

By incorporating cognitive assessment, developing an integrated information management system using information technology, establishing relevant laws and regulations, providing education and training, and adopting a national approach, significant improvements can be made in the care provided to individuals with cognitive impairment.

The RAPID-score: Risk Assessment and PredIction of Delirium in acute stroke patients based on very early clinical parameters

Background and objective

Post-stroke delirium (PSD) is a common complication in acute stroke patients, and guidelines recommend routine screening and various preventive and treatment measures. However, there is a substantial lack of standardized approaches in diagnostic and therapeutic management of PSD. Here, we aimed to develop a new pragmatic and easily assessable screening tool to predict PSD based on early parameters, which are already integral to acute stroke diagnostics.

Methods

We enrolled acute stroke patients admitted to our stroke unit or intensive care unit and developed the scoring system using retrospective single-center patient data. The Confusion Assessment Method for the Intensive Care Unit was used for prospective score validation. Logistic regression models were employed to analyze the association of early clinical and paraclinical parameters with PSD development.

Results

N = 525 patients (median age: 76 years; 45.7% female) were enrolled, with 29.7% developing PSD during hospitalization. The resulting score comprises 6 items, including medical history, clinical examination findings, and non-contrast computed tomography results at admission. Scores range from -15 to +15 points, with higher values indicating a higher likelihood of PSD, ranging from 4% to 79%. The accuracy was 0.85, and the area under the curve was 0.89.

Conclusion

The new RAPID (Risk Assessment and PredIction of Delirium in acute stroke patients)-score shows high accuracy in predicting PSD among acute stroke patients and offers precise odds of PSD for each corresponding score value, utilizing routine early clinical and paraclinical parameters. It can identify high-risk populations for clinical study interventions and may be suitable to guide prophylactic PSD measures.

Delirium in oncological palliative care and clinical cardiology units: A comparative analysis

OBJECTIVE

The aim of this study was to compare the sociodemographic and clinical characteristics of delirium in patients treated in a clinical cardiology unit (CCU) and an oncological palliative care unit (OPCU) at a high-complexity institution.

CONTEXT

Delirium is a neuropsychiatric syndrome with multicausal etiology, associated with increased morbidity and mortality.

METHOD

This was a cross-sectional, analytical observational study. CCU and OPCU patients were evaluated for 480 days. The diagnosis was made according to DSM-V. Sociodemographic characteristics, the Karnofsky index, and the Charlson index were evaluated. Possible etiologies were verified. Severity was assessed with the Delirium Severity Scale (DRS-R98).

RESULTS

A total of 1,986 patients were evaluated, 205 were eligible, and 110 were included in the study (CCU: 61, OPCU: 49). Delirium prevalence was 11.35% in the CCU and 9.87% in the OPCU. CCU patients were 12 years older (p < 0.03) and a history of dementia (41 vs. 8.2%; p < 0.001). Organ failure was the most frequent etiology of delirium in the CCU (41.0%), and in the OPCU, the etiologies were neoplasms (28.6%), side effect of medication (22.4%), and infections (2.5%). Differences were found in the clinical characteristics of delirium evaluated by DRS-R98, with the condition being more severe and with a higher frequency of psychotic symptoms in OPCU patients.

CONCLUSION

Delirium was a common condition in hospitalized patients in the CCU and the OPCU. The clinical characteristics were similar in both groups; however, significant differences were found in OPCU patients in terms of age, personal history of dementia, and opioid use, as well as the severity of delirium and a greater association with psychotic symptoms. These findings have implications for the early implementation of diagnostic and therapeutic strategies.

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.

A predictive scoring system for postoperative delirium in the elderly patients with intertrochanteric fracture

OBJECTIVE

To establish a scoring system to predict the postoperative delirium in elderly patients with intertrochanteric fracture.

MATERIALS AND METHODS

We retrospectively reviewed 159 elderly patients with a diagnosis of intertrochanteric fracture and underwent closed reduction and intramedullary nail fixation, and then divided them into two groups including the delirium group (23 cases) or non-delirium group (136 cases) in our hospital from January 2017 to December 2019. The following clinical characteristics were recorded and analyzed: age, gender, fracture classification, body mass index (BMI), history of diabetes mellitus, history of stroke, preoperative albumin, preoperative hemoglobin (Hb), preoperative arterial partial pressure of oxygen (PaO₂), time between admission and surgery, lower limb thrombosis, American Society of Anesthesiologists (ASA) grade, operative time, operative blood loss, and intraoperative blood transfusion. The prevalence of these clinical characteristics in delirium group was evaluated, and the scoring system was established using logistic regression analysis. The performance of the scoring system was also prospectively validated.

RESULTS

The predictive scoring system was based on five clinical characteristics confirmed as significant predictors of postoperative delirium, namely, age > 75 years, history of stroke, preoperative Hb ≤ 100 g/L, preoperative PaO₂ ≤ 60 mmHg, and time between admission to surgery > 3 days. Delirium group showed a significant higher score than non-delirium (6.26 vs. 2.29, P < 0.001), and the optimal cut-off value for the scoring system was 4 points. The sensitivity and specificity of the scoring system for predicting postoperative delirium were 82.61% and 81.62% in derivation set, respectively, and 72.71% and 75.00% in validation set.

CONCLUSION

The predictive scoring system confirmed with achieve satisfactory sensitivity and specificity in predicting postoperative delirium in the elderly with intertrochanteric fracture. The risk of postoperative delirium in patients with the score of 5 to 11 is high, while the score of 0 to 4 is low.