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

Management of delirium in acute stroke patients: a position paper by the Austrian Stroke Society on prevention, diagnosis, and treatment

Delirium is a common complication in acute stroke patients, occurring in 15-35% of all stroke unit admissions and is associated with prolonged hospital stay and a poor post-stroke prognosis. Managing delirium in acute stroke patients necessitates an intensive and multiprofessional therapeutic approach, placing a significant burden on healthcare staff. However, dedicated practical recommendations for delirium management developed for the population of acute stroke patients are lacking. For this purpose, the Austrian Stroke Society, in cooperation with the Austrian Society of Neurology, the Austrian Society of Neurorehabilitation, and the Austrian Society of Psychiatry, Psychotherapy, and Psychosomatics has formulated an evidence-based position paper addressing the management of delirium in acute stroke patients. The paper outlines practical recommendations on the three pillars of care in stroke patients with delirium: (a) Key aspects of delirium prevention including stroke-specific delirium risk factors and delirium prediction scores are described. Moreover, a non-pharmacological delirium prevention bundle is presented. (b) The paper provides recommendations on timing and frequency of delirium screening to ensure early diagnosis of delirium in acute stroke patients. Moreover, it reports on the use of different delirium screening tools in stroke populations. (c) An overview of non-pharmacological and pharmacological treatment strategies in patients with delirium and acute stroke is presented and summarized as key recommendation statements.

Occurrence and risk factors for post-stroke delirium: A systematic review and meta-analysis

OBJECTIVES

Delirium is a significant health concern in acute stroke patients. We aim to systematically summarize existing evidence to conduct a meta-analysis to quantify the occurrence and risk factors for delirium after acute stroke.

METHOD

PubMed, EMBASE and MEDLINE were searched from inception to Feb. 2023 for prospective observational studies that reported the incidence or prevalence of post-stroke delirium and/or evaluated potential risk factors. The search strategy was created using controlled vocabulary terms and text words for stroke and delirium. We performed a meta-analysis of the estimates for occurrence and risk factors using random-effects models. Meta-regression and subgroup meta-analyses were conducted to explore the sources of heterogeneity. Study quality and quality of evidence were assessed using the customized Newcastle-Ottawa Scale and GRADE, respectively.

RESULTS

Forty-nine studies that enrolled 12383 patients were included. The pooled occurrence rate of post-stroke delirium was 24.4 % (95 %CI, 20.4 %-28.9 %, I2=96.2 %). The pooled occurrence of hyperactive, hypoactive, and mixed delirium was 8.5 %, 5.7 % and 5.0 %, respectively. Study location, delirium assessment method and stroke type independently affected the heterogeneity of the pooled estimate of delirium. Statistically significant risk factors were older age, low education level, cigarette smoking, alcohol drinking, atrial fibrillation, lower ADL level, higher pre-stroke mRS score, premorbid cognitive impairment or dementia, aphasia, total anterior circulation impairment, higher National Institute of Health Stroke Scale score and infection.

CONCLUSIONS

Delirium affected 1 in 4 acute stroke patients, although reported rates may depend on assessment method and stroke type. Timely prevention, recognition and intervention require prioritizing patients with dominant risk factors.

Delirium in acute stroke is associated with increased cognitive and psychiatric symptoms over time: The Nor-COAST study

BACKGROUND

Delirium, an acute and fluctuating mental disturbance of attention, cognition, and consciousness, commonly occurs in acute stroke. Research on long-term outcomes of stroke patients experiencing delirium is limited, especially regarding cognitive and psychiatric symptoms.

METHODS

As part of the Nor-COAST study, 373 patients were screened for delirium using the Confusion Assessment Method (CAM) in the acute phase of stroke. Patients were included in the mixed-model linear regression analyses if they had available data from the follow-ups at three, 18 or 36 months, totaling 334 (44.6 % women, mean (SD) age: 72.1 (12.5) years, 17 (5.1 %) diagnosed with delirium). Global cognition was measured using the Montreal Cognitive Assessment (MoCA). Psychiatric symptoms were measured using the Hospital Anxiety and Depression Scale (HADS) and the Neuropsychiatric Inventory-Questionnaire (NPI-Q).

RESULTS

At three months, delirium was associated with a higher NPI-Q score (Mean (SD) 2.9 (3.6) vs 1.4 (2.2)). At 18 and 36 months, delirium was associated with a lower MoCA score (Mean (SD) 19.7 (6.6) vs 24.3 (5.0), and 20.6 (7.6) vs 24.6 (4.8)), higher HADS anxiety symptoms (5.0 (4.3) vs 3.3 (3.3), and 5.9 (4.1) vs 3.4 (3.6)), higher HADS depression symptoms (7.2 (4.7) vs 3.4 (3.3), and 6.6 (5.1) vs 3.7 (3.7)), and higher NPI-Q score (2.4 (4.4) vs 1.7 (2.3), 2.6 (4.5) vs 1.0 (1.9)). Delirium significantly predicted the psychiatric symptoms hallucinations and agitation.

CONCLUSIONS

Patients with delirium in the acute phase of stroke may be particularly vulnerable to developing cognitive and psychiatric symptoms in the chronic phase.

Sustained delirium reduction in an inpatient neuroscience unit

BACKGROUND

Delirium is described as acute brain dysfunction that often fluctuates throughout the day and is highly prevalent in hospitalized adults. Delirium negatively affects patient outcomes with consequences including decreased cognitive functioning and increased mortality and healthcare costs. Furthermore, neurological patients are at increased risk for developing delirium due to their underlying diagnoses.

PURPOSE

The purpose of this evidence-based practice project was to evaluate the long-term impact of nursing education and use of trained volunteers to prevent the development of delirium in an inpatient neuroscience unit.

IMPLEMENTATION PLAN

This was a pre-post designed evidence-based practice project to educate and prioritize nursing care interventions for delirium prevention compared to a delirium management framework. The interventions included delirium education for nurses and nursing assistants along with the development of a specialized volunteer program to implement non-pharmacological, multi-component delirium prevention interventions. Long-term sustainment and enculturation occurred over the subsequent year.

OUTCOMES

The baseline data collection period included 2520 patients. The intervention period included 4515 patients, with both groups being similar in age, race, gender, and length of stay. The total number of patients with a discharge diagnosis of delirium decreased from 29.2% to 19.8% (p < .001). Fewer patients in the intervention group were discharged to a skilled nursing facility (p < .001) and other post-acute facility (p = .008), along with more patients being discharged to home care (p < .001).

LINKING EVIDENCE TO ACTION

This evidence-based practice project demonstrates long-term sustained reduction of delirium in the neuroscience population. Despite the challenges during the COVID-19 pandemic, delirium prevention strategies were found to be effective in decreasing the rate at which patients develop delirium.

Anti-motion Ultrafast T2 Mapping Technique for Quantitative Detection of the Normal-Appearing Corticospinal Tract Changes in Subacute-Chronic Stroke Patients with Distal Lesions

RATIONALE AND OBJECTIVES

Stroke patients commonly face challenges during magnetic resonance imaging (MRI) examinations due to involuntary movements. This study aims to overcome these challenges by utilizing multiple overlapping-echo detachment (MOLED) quantitative technology. Through this technology, we also seek to detect microstructural changes of the normal-appearing corticospinal tract (NA-CST) in subacute-chronic stroke patients.

MATERIALS AND METHODS

79 patients underwent 3.0 T MRI scans, including routine scans and MOLED technique. A deep learning network was utilized for image reconstruction, and the accuracy, reliability, and resistance to motion of the MOLED technique were validated on phantoms and volunteers. Subsequently, we assessed motor dysfunction severity, ischemic lesion volume, T2 values of the bilateral NA-CST, and the T2 ratio (rT2) between the ipsilesional and contralesional NA-CST in patients.

RESULTS

The MOLED technique showed high accuracy (P < 0.001) and excellent repeatability, with a mean coefficient of variation (CoV) of 1.11%. It provided reliable quantitative results even under head movement, with a mean difference (Meandiff)= 0.28% and a standard deviation difference (SDdiff)= 1.34%. Additionally, the T2 value of the ipsilesional NA-CST was significantly higher than contralesional side (P < 0.001), and a positive correlation was observed between rT2 and the severity of motor dysfunction (rs =0.575, P < 0.001). Furthermore, rT2 successfully predicted post-stroke motor impairment, with an area under the curve (AUC) was 0.883.

CONCLUSION

The MOLED technique offers significant advantages for quantitatively imaging stroke patients with involuntary movements. Additionally, T2 mapping from MOLED can detect microstructural changes in the NA-CST, potentially aiding in monitoring stroke-induced motor impairment.

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.

[Delirium in stroke: systematic review and meta-analysis]

BACKGROUND

Due to the complexity of the symptoms, delirium detection poses a challenge in stroke patients. A large body of literature has established that neurospecific challenges can have a considerable impact on diagnosis and are underrepresented in screening.

OBJECTIVES

An analysis of current scientific literature on delirium screening tests and their applicability in stroke patients, acknowledging neurospecific challenges and evaluating diagnostic test accuracy.

METHODS

A systematic literature search was conducted in PubMed, CINAHL, and Cochrane Library databases. Studies published between 2018 and 2021 were evaluated and the study quality was assessed according to the Institute for Clinical Systems Improvement. Furthermore, the specificity and sensitivity of delirium screening tests were pooled RESULTS: The systematic literature review found a total of 2636 articles, following a review of the inclusion and exclusion criteria. Thus, 18 moderate-quality studies with a total of 3320 patients and 9 distinct delirium screenings were identified. Within those 18 studies, the prevalence of delirium was 34.2%. However, the delirium prevalence was significantly lower in 6 studies that included patients with neurologic impairments (26.5 vs. 32.1%, p = 0.0004). Pooled sensitivity and specificity for the 4AT (Rapid assessment test for delirium ) were 82 and 77%, while these values were 72 and 93% for the CAM-ICU (Confusion Assessment Method for Intensive Care Units) and 79 and 72% for the ICDSC (Intensive Care Delirium Screening Checklist).

CONCLUSIONS

Neurological impairments may influence the test quality of delirium screening in stroke patients. The CAM-ICU can be recommended for nonaphasic patients. The ICDSC can be used in all stroke patients on stoke units with an adjusted cut-off value of > 5 points.

Delirium screening in a stroke unit by nurses using 4AT: Results from a quality improvement project

AIM

To assess the feasibility of delirium screening with the screening tool 4AT conducted by stroke unit nurses.

DESIGN

Observational.

METHODS

Patients with confirmed acute stroke admitted to the stroke unit at Baerum Hospital, Norway, from March to October 2020, were consecutively recruited. Nurses performed delirium screening using the rapid screening tool 4AT within 24 h of admission, at discharge and when delirium was suspected, and filled out a questionnaire assessing their experiences with the delirium screening. A geriatrician validated the delirium diagnosis.

RESULTS

In all, 62 patients were included, mean age 73.3 years. 4AT was performed according to protocol in 49 (79.0%) and 39 (62.9%) patients at admission and discharge respectively. Lack of time (40%) was reported as the most common reason for not performing delirium screening. The nurses reported that the felt competent to carry out the 4AT screening, and did not experience it as significant extra workload. Five patients (8%) were diagnosed with delirium. Delirium screening performed by stroke unit nurses seemed feasible and the nurses experienced that 4AT was a useful tool for this purpose.

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.

Predictors of post-stroke delirium incidence and duration: Results of a prospective observational study using high-frequency delirium screening

BACKGROUND

Post-stroke delirium (PSD) is a modifiable predictor for worse outcome in stroke. Knowledge of its risk factors would facilitate clinical management of affected patients, but recently updated national guidelines consider available evidence insufficient.

AIMS

The study aimed to establish risk factors for PSD incidence and duration using high-frequency screening.

METHODS

We prospectively investigated patients with ischemic stroke admitted within 24 h. Patients were screened twice daily for the presence of PSD throughout the treatment period. Sociodemographic, treatment-related, and neuroimaging characteristics were evaluated as predictors of either PSD incidence (odds ratios (OR)) or duration (PSD days/unit of the predictor, b), using logistic and linear regression models, respectively.

RESULTS

PSD occurred in 55/141 patients (age = 73.8 ± 10.4 years, 61 female, National Institutes of Health Stroke Scale (NIHSS) = 6.4 ± 6.5). Age (odds ratio (OR) = 1.06 (95% confidence interval (CI): 1.02-1.10), b = 0.08 (95% CI = 0.04-0.13)), and male gender (b = 0.99 (95% CI = 0.05-1.93)) were significant non-modifiable risk factors. In a multivariable model adjusted for age and gender, presence of pain (OR < sub > mvar </sub >= 1.75 (95% CI = 1.12-2.74)), urinary catheter (OR < sub > mvar </sub > = 3.16 (95% CI = 1.10-9.14)) and post-stroke infection (PSI; OR < sub > mvar </sub > = 4.43 (95% CI = 1.09-18.01)) were predictors of PSD incidence. PSD duration was impacted by presence of pain (b < sub > mvar </sub >= 0.49 (95% CI = 0.19-0.81)), urinary catheter (b < sub > mvar </sub > = 1.03 (95% CI = 0.01-2.07)), intravenous line (b < sub > mvar </sub >= 0.36 (95% CI = 0.16-0.57)), and PSI (b < sub > mvar </sub >= 1.60 (95% CI = 0.42-2.78)). PSD (OR = 3.53 (95% CI = 1.48-5.57)) and PSI (OR = 5.29 (95% CI = 2.92-7.66)) independently predicted inferior NIHSS at discharge. Insular and basal ganglia lesions increased the PSD risk about four- to eight-fold.

DISCUSSION/CONCLUSION

This study identified modifiable risk factors, the management of which might reduce the negative impact PSD has on outcome.

Effects of Melatonin Administration on Post-Stroke Delirium in Patients with Intracerebral Hemorrhage

Post-stroke delirium (PSD) after intracerebral hemorrhage (ICH) is considered to be even more detrimental compared to that after ischemic stroke. Treatment options for post-ICH PSD remain limited. This study aimed at investigating to what extent prophylactic melatonin administration may have beneficial effects on post-ICH PSD. We performed a mono-centric, non-randomized, non-blinded, prospective cohort study, including 339 consecutive ICH patients admitted to the Stroke Unit (SU) from December 2015 to December 2020. The cohort consisted of ICH patients who underwent standard care (defined as the control group) and ICH patients who additionally received prophylactic melatonin (2 mg per day, at night) within 24 h of ICH onset until the discharge from the SU. The primary endpoint was post-ICH PSD prevalence. The secondary endpoints were: (i) PSD duration and (ii) the duration of SU stay. The PSD prevalence was higher in the melatonin treated cohort compared to the propensity score-matched (PSM) control group. Post-ICH PSD patients receiving melatonin had shorter SU-stay durations, and shorter PSD durations, although not statistically significant. This study shows no efficacy in limiting post-ICH PSD with preventive melatonin administration.

Association of Atrial Fibrillation and Cardioembolic Stroke with Poststroke Delirium Susceptibility: A Systematic Review and Meta-Analysis of Observational Studies

BACKGROUND

Several studies have shown atrial fibrillation (AF) and cardioembolic stroke (CES) to be associated with the risk of poststroke delirium (PSD). However, other studies have reported inconsistent results. We performed a comprehensive meta-analysis to clarify the associations between AF and CES and PSD susceptibility.

METHODS

We searched relevant studies meeting inclusion criteria in PubMed, Google Scholar, and Web of Science. Useful data were pooled, and odds ratios and 95% confidence intervals were calculated. We also assessed heterogeneity among studies, performed sensitivity analyses, and estimated publication bias.

RESULTS

This meta-analysis containing 18 observational studies proved that AF (odds ratio =2.30, 95% confidence interval = 2.00-2.65, P < 0.0001) was associated with an increased risk of PSD. CES was also found to have a higher risk of delirium compared with other types of stroke based on the Trial of Org 10172 in Acute Stroke Treatment classification (odds ratio = 2.02, 95% confidence interval = 1.47-2.79, P < 0.0001).

CONCLUSIONS

Our meta-analysis suggested that AF and CES contribute to increased risk of PSD.

The Role of Vascular Risk Factors in Post-Stroke Delirium: A Systematic Review and Meta-Analysis

Vascular risk factors may predispose to post-stroke delirium (PSD). A systematic review and meta-analysis were performed by searching PubMed, Web of Science, and Scopus. The primary outcome was the prevalence of vascular risk factors in PSD vs. non-PSD patients. Odds ratios (ORs) with 95% confidence intervals (CIs) and mean differences (MDs) with 95% CIs were calculated for categorical and continuous variables, respectively. Fixed effects or random effects models were used in case of low- or high-statistical heterogeneity, respectively. We found an increased prevalence of atrial fibrillation (OR = 1.74, p = 0.0004), prior stroke (OR = 1.48, p < 0.00001), coronary artery disease (OR = 1.48, p < 0.00001), heart failure (OR = 2.01, p < 0.0001), and peripheral vascular disease (OR = 2.03, p < 0.00001) in patients with vs. without PSD. PSD patients were older (MD = 5.27 y, p < 0.00001) compared with their non-PSD counterparts. Advanced age, atrial fibrillation, prior stroke, coronary artery disease, heart failure, and peripheral vascular disease appeared to be significantly associated with PSD.

Impact of delirium on the outcome of stroke: a prospective, observational, cohort study

Introduction

Delirium is an acute fluctuating disorder of attention and awareness, which often complicates the clinical course of several conditions, including acute stroke. The aim of the present study was to determine whether delirium occurrence impacts the outcome of patients with acute stroke.

Methods

The study design is single center, prospective, observational. We consecutively enrolled patients admitted to the stroke unit from April to October 2020. Inclusion criteria were age ≥ 18 years and diagnosis of acute stroke. Exclusion criteria were stroke mimics, coma, and terminal conditions. All patients were screened for delirium upon admission, within 72 h, and whenever symptoms suggesting delirium occurred by means of the Confusion Assessment Method for Intensive Care Unit and the Richmond Agitation Sedation Scale. Outcomes were evaluated with the 90-days modified Rankin Scale (mRS) by telephone interview.

Results

The final study cohort consisted of 103 patients (62 men; median age 75 years, interquartile range 63–81). Thirty-one patients (30%) developed delirium. In the multivariate ordinal logistic regression, patients with delirium had higher mRS scores at 3 months (DLR + : mRS = 4 (3–6); DLR–: mRS = 1 (1–3); adjusted odds ratio = 4.83; CI = 1.88–12.35; p = 0.006). Delirium was a risk factor for death (mRS = 6) in the univariate logistic regression (OR 4.5, CI = 1.44–14.07; p = 0.010), but not in the adjusted analysis (OR 3.45; CI = 0.66–17.95; p = 0.142). Survival time during 90-days follow-up was shorter in the delirium group (Log Rank χ² 3.89; p = 0.048).

Conclusion

Delirium negatively impacts the prognosis of patients with acute stroke. Patients with post-stroke delirium have a worse functional outcome and a shorter survival.

The relationship of acute delirium with cognitive and psychiatric symptoms after stroke: a longitudinal study

OBJECTIVE

Delirium, a common complication after stroke, is often overlooked, and long-term consequences are poorly understood. This study aims to explore whether delirium in the acute phase of stroke predicts cognitive and psychiatric symptoms three, 18 and 36 months later.

METHOD

As part of the Norwegian Cognitive Impairment After Stroke Study (Nor-COAST), 139 hospitalized stroke patients (49% women, mean (SD) age: 71.4 (13.4) years; mean (SD) National Institutes of Health Stroke Scale (NIHSS) 3.0 (4.0)) were screened for delirium with the Confusion Assessment Method (CAM). Global cognition was measured with the Montreal Cognitive Assessment (MoCA), while psychiatric symptoms were measured using the Hospital Anxiety and Depression Scale (HADS) and the Neuropsychiatric Inventory-Questionnaire (NPI-Q). Data was analyzed using mixed-model linear regression, adjusting for age, gender, education, NIHSS score at baseline and premorbid dementia.

RESULTS

Thirteen patients met the criteria for delirium. Patients with delirium had lower MoCA scores compared to non-delirious patients, with the largest between-group difference found at 18 months (Mean (SE): 20.8 (1.4) versus (25.1 (0.4)). Delirium was associated with higher NPI-Q scores at 3 months (Mean (SE): 2.4 (0.6) versus 0.8 (0.1)), and higher HADS anxiety scores at 18 and 36 months, with the largest difference found at 36 months (Mean (SE): 6.2 (1.3) versus 2.2 (0.3)).

CONCLUSIONS

Suffering a delirium in the acute phase of stroke predicted more cognitive and psychiatric symptoms at follow-up, compared to non-delirious patients. Preventing and treating delirium may be important for decreasing the burden of post-stroke disability.

Post-Stroke Cognitive Impairment and Dementia

Poststroke cognitive impairment and dementia (PSCID) is a major source of morbidity and mortality after stroke worldwide. PSCID occurs as a consequence of ischemic stroke, intracerebral hemorrhage, or subarachnoid hemorrhage. Cognitive impairment and dementia manifesting after a clinical stroke is categorized as vascular even in people with comorbid neurodegenerative pathology, which is common in elderly individuals and can contribute to the clinical expression of PSCID. Manifestations of cerebral small vessel disease, such as covert brain infarcts, white matter lesions, microbleeds, and cortical microinfarcts, are also common in patients with stroke and likewise contribute to cognitive outcomes. Although studies of PSCID historically varied in the approach to timing and methods of diagnosis, most of them demonstrate that older age, lower educational status, socioeconomic disparities, premorbid cognitive or functional decline, life-course exposure to vascular risk factors, and a history of prior stroke increase risk of PSCID. Stroke characteristics, in particular stroke severity, lesion volume, lesion location, multiplicity and recurrence, also influence PSCID risk. Understanding the complex interaction between an acute stroke event and preexisting brain pathology remains a priority and will be critical for developing strategies for personalized prediction, prevention, targeted interventions, and rehabilitation. Current challenges in the field relate to a lack of harmonization of definition and classification of PSCID, timing of diagnosis, approaches to neurocognitive assessment, and duration of follow-up after stroke. However, evolving knowledge on pathophysiology, neuroimaging, and biomarkers offers potential for clinical applications and may inform clinical trials. Preventing stroke and PSCID remains a cornerstone of any strategy to achieve optimal brain health. We summarize recent developments in the field and discuss future directions closing with a call for action to systematically include cognitive outcome assessment into any clinical studies of poststroke outcome.

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.

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.