Pre-stroke apathy symptoms are associated with an increased risk of delirium in stroke patients

The prevalence of apathy in stroke patients: A systematic review and meta-analysis

BACKGROUND

Apathy is a frequent neuropsychiatric disorder in stroke patients. However, its prevalence rates have conflicting results across studies. This meta-analysis aimed to estimate the overall prevalence of apathy in stroke patients from 1990 to 2022.

METHODS

PubMed, Web of Science, Embase and PsycINFO were systematically searched to identify relevant articles published from January 1, 1990 to October 29, 2022. Literature quality was assessed with the National Institutes of Health Study Quality Assessment Tool. The pooled prevalence, subgroup analyses and meta-regression were calculated by STATA 16.0.

RESULTS

A total of 39 observational studies involving 5168 stroke patients were eligible for this meta-analysis. The pooled prevalence of apathy in stroke patients was 33.0% (95% CI, 27.6-38.4). Subgroup analyses showed that the pooled prevalence of apathy among stroke patients was higher in Japan (36.6%), China (33.7%) and Turkey (63.5%) compared to that in other countries (30.2%). The pooled prevalence of apathy was higher in ischemic stroke samples (36.1%) than in hemorrhagic stroke samples (14.4%). The pooled prevalence of apathy measured with the Apathy Evaluation Scale (38.3%) was the highest in stroke patients. Meta-regression presented that higher literature quality was significantly associated with lower prevalence, while stroke severity, mean age and female percentage were not significantly associated with the prevalence of apathy in stroke patients.

CONCLUSION

Our findings revealed that the overall prevalence of apathy in stroke patients was 33.0% based on the current evidence. Furthermore, the prevalence was significantly correlated with countries, stroke subtypes, apathy criteria, and literature quality.

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.

Associations Between Stroke Localization and Delirium: A Systematic Review and Meta-Analysis

OBJECTIVES

Delirium is common among patients with acute stroke and associated with worse outcomes. However, it is unclear which stroke locations or types are most associated with delirium.

MATERIALS AND METHODS

We systematically reviewed studies of patients with acute stroke that reported stroke locations and types by delirium status. We included papers in any language, through a combined search from January 2010 to June 2021. Case studies with less than 20 patients, case-control studies, and randomized controlled trials were excluded. MEDLINE, EMBASE, PsycINFO, CINAHL, and Alois databases were searched. Pooled relative risks were calculated using bivariate random effects models or network meta-analysis. Methodological quality was assessed across 8 factors.

RESULTS

31 patient samples representing 8329 patients were included. Delirium was more common in patients with supratentorial lesions than infratentorial (RR [Relative Risk] 2.01, CI [Confidence Interval] 1.49-2.72); anterior circulation lesions than posterior (RR 1.41, CI 1.13-1.78); and cortical lesions than subcortical (RR 1.54, CI 1.25-1.89). Stroke side was not associated with delirium (right vs. left: RR 0.99, CI 0.77-1.28). Delirium was more common in patients with hemorrhagic strokes than ischemic (RR 1.74, CI 1.42-2.11) and patients with preexisting qualitative atrophy (RR 1.66, CI 1.21-2.27).

CONCLUSION

Several brain localizations and types of strokes were associated with delirium. Conclusions were in part limited by the heterogeneity of studies and broad or qualitative lesion descriptions. These results may assist in anticipating the risk of delirium in acute stroke and highlight brain networks and pathologies that may be involved in the pathophysiology of delirium.

Subtypes of delirium after ischaemic stroke-predisposing factors and outcomes: a prospective observational study (PROPOLIS)

BACKGROUND AND PURPOSE

Delirium is a serious complication after stroke. It remains unclear whether different motor subtypes of delirium are associated with diverse risk factors and outcomes. The aim was to investigate if delirium subtypes differ in predisposing factors, clinical characteristics and outcomes.

METHODS

In all, 698 patients with ischaemic stroke or transient ischaemic attack (median age 73 years; 53.7% female) were prospectively included. Core features of delirium during the first 7 days after admission were examined. The Diagnostic and Statistical Manual of Mental Disorders (DSM-5) criteria for delirium were used. Pre-stroke characteristics were compared between different delirium subtypes and logistic regression and Cox proportional hazard models were used to explore the association between delirium, functional outcome and death.

RESULTS

Hyperactive, hypoactive and mixed delirium were diagnosed in 28, 75 and 66 patients, respectively. Patients with hyperactive delirium had less severe neurological deficit on admission and more often had transient ischaemic attack compared with patients with hypoactive and mixed delirium. Compared with patients with hypoactive delirium, those with hyperactive delirium more often suffered from irritability/lability prior to stroke. Hyperactive and hypoactive delirium did not differ in age, sex, comorbidities, pre-stroke dependency, cognitive decline and severity of delirium. Hyperactive, hypoactive and mixed delirium were associated with an increased risk of poor 3- and 12-month functional outcome compared with patients without delirium. Moreover, patients with hypoactive and mixed delirium had an elevated risk of death.

CONCLUSIONS

Hyperactive delirium is associated with less severe stroke and higher scores of pre-existing irritability/lability. All three motor subtypes of delirium are associated with poor outcome, although hyperactive delirium seems to have a less unfavourable prognosis.

Prevalence, predictors, and prognoses of prestroke neuropsychiatric symptoms at 3 months poststroke

OBJECTIVES

Prior neuropsychiatric disturbances are risk factors for stroke. There is a knowledge gap on the predictors of prestroke psychopathology, as well as their association with stroke outcomes in survivors living in low- and middle-income countries (LMICs). We estimated prevalence, predictors, and association of prestroke neuropsychiatric symptoms with poststroke depression (PSD), disability, and mortality.

DESIGN

Prospective observation.

SETTING

Nigeria.

PARTICIPANTS

Adult ischemic and hemorrhagic stroke survivors.

MEASUREMENTS

Prestroke psychopathology were ascertained using the Neuropsychiatric Inventory Questionnaire (NPI-Q). Outcomes were assessed using validated tools, including the Centre for Epidemiologic Studies - Depression Scale (CES-D 10) and modified Rankin scale (mRS). Independent associations were investigated using regression models with Bonferroni corrections, and presented as standardized mean differences (SMD) and odds ratios (OR) within 95% confidence intervals (CI).

RESULTS

Among 150 participants, prestroke neuropsychiatric symptoms were found in 78 (52%). In multivariate logistic regression analyses, prestroke sleep disturbance was associated with systemic hypertension (OR = 5.39, 95% CI = 1.70-17.08). Prestroke neuropsychiatric symptoms independently predicted worse motor disability scores (SMD = 0.92, 95% CI = 0.21-1.62) and greater odds of poststroke mortality (OR = 2.7, 95% CI = 1.1-7.0) at 3 months. However, prestroke depression was not significantly associated with PSD.

CONCLUSION

Prestroke sleep disturbances was associated with systemic hypertension, a key index of high cardiovascular risk profile and stroke. The findings should energize before-the-stroke identification and prioritization of limited treatment resources in LMICs to persons with sleep symptoms who have multiple, additional, risks of stroke.

Does cognitive decline/dementia increase Delirium risk after stroke?

BACKGROUND

Delirium is a common contributor to mortality and hospital costs in stroke patients. Different observational studies have showed inconsistent results regarding the association between cognitive decline/dementia and delirium after acute stroke. Therefore, we performed this meta-analysis with the aim of determining whether cognitive decline/dementia is related to the risk of delirium after acute stroke.

METHODS

We systematically searched PubMed, Embase, Google Scholar, and Web of Science for relevant studies from inception to September 2020. We calculated the pooled odds ratio (OR) with 95% confidence interval (CI) by using fixed or random effects models based on heterogeneity measured by the I² index.

RESULTS

The association between cognitive decline/dementia and post-stroke delirium was examined in 13 studies with 3183 participants. After pooled analysis, we found that cognitive decline/dementia was significantly associated with susceptibility to delirium in post-stroke patients (OR = 3.70, 95%CI: 2.90-4.71, P < 0.001). Subgroup analysis suggested that cognitive decline/dementia was associated with an increased risk of delirium in Caucasians (OR = 3.73, 95%CI: 2.73-5.11, P < 0.001), non-Caucasians (OR = 3.65, 95%CI: 2.50-5.33, P < 0.001), samples with <200 subjects (OR = 3.70, 95%CI: 2.17-6.31, P < 0.001), samples with ≥200 subjects (OR = 3.70, 95%CI: 2.82-4.85, P < 0.001), studies published in 1990-2009 (OR = 3.17, 95%CI: 1.48-6.77, P = 0.003), and studies published in 2010-2020 (OR = 3.76, 95%CI: 2.92-4.86, P < 0.001).

CONCLUSIONS

We identified an association between cognitive decline/dementia and the risk of developing delirium. Cognitive decline/dementia may be a promising predictor for delirium in post-stroke patients.

Clinical utility of brain computed tomography in prediction of post-stroke delirium

Delirium is a common and serious complication of stroke. Early prediction of delirium is important for preventive strategies and close monitoring of high-risk patients. Pre-existing degenerative and vascular changes in the brain could predispose to delirium. We aimed to determine if computed tomography (CT)-based indices could provide additional information about a risk of stroke-associated delirium beyond easiest-to-access clinical predictors. Using semi-quantitative scales (global cortical atrophy, age-related white matter changes, and Scheltens scale), we assessed global and regional brain atrophy and white matter changes in 88 stroke patients with delirium and 142 patients without delirium matched for age and stroke severity. Patients with delirium had greater global and local brain atrophy (the right temporal region, the left parieto-occipital region, the right frontal and occipital horn, and the right and left temporal horn) than patients without delirium. Scores of white matter changes did not differ between groups with exception of greater white matter damage in the right parieto-occipital area in patients with delirium. The discriminatory properties of studied radiological indices were modest (areas under receiver operator curves: 0.58-0.64). CT-based indices of brain atrophy and white matter changes do not provide additional information about a risk of post-stroke delirium beyond the most important clinical predictors.

Theoretical Analysis of the Apathy Diagnostical Measurement

The article lays out a theoretical analysis of the problem with diagnosing apathy in today's research. Apathy is a state characterized by a simultaneous decrease in the behavioral, cognitive and emotional concomitants of goal-directed behavior due to loss of motivation [15]. Behavioral changes lie in a declining everyday problem-solving effectiveness at home or work. Cognitive changes result in reduced cognitive functioning and a lack of plans and life strategies. Emotional changes manifest in a decrease in affective response to events that previously elicited either a positive or negative emotional response. Diagnostic criteria, or the 'gold standard' for apathy, identify behavioral, cognitive, emotional, and social symptoms of apathy that cause clinically significant disorders in personal, social, professional, or other important areas of life. The differential diagnosis of apathy involves its clinical distinction from syndromes such as delirium, dementia, depression, abulia, akinesia, and demoralization. The review can be useful for psychiatrists, psychologists, social workers and all practitioners who interact with people at risk of developing apathetic states.

Subsyndromal delirium is associated with poor functional outcome after ischaemic stroke

BACKGROUND AND PURPOSE

Subsyndromal delirium (SSD) refers to patients with delirious symptoms who do not meet the criteria for delirium. The aim was to determine the prognostic significance of SSD in stroke patients.

METHODS

In all, 564 patients with ischaemic stroke (median age 71 years, 50.5% female) were included. The Confusion Assessment Method was used to assess symptoms of delirium and the Diagnostic and Statistical Manual of Mental Disorders, 5th edn, criteria were used to diagnose delirium. SSD was defined as one or more core features of delirium without fulfilling diagnostic criteria. Functional outcome was assessed using the modified Rankin Scale at 3 and 12 months after stroke.

RESULTS

Delirium was diagnosed in 23.4% of patients and SSD in 10.3% of patients. SSD was associated with increased risk of poor functional outcome. The adjusted odds ratios (ORs) for unfavourable outcome at 3 and 12 months were 2.88 [95% confidence interval (CI) 1.43-5.79, P < 0.01] and 2.93 (95% CI 1.39-6.22, P < 0.01), respectively. In multivariate analysis, delirium was an independent predictor of poor functional outcome at 3 months (OR 6.41, 95% CI 3.36-12.21, P < 0.01) and 12 months (OR 6.11, 95% CI 3.05-12.27, P < 0.01) after stroke. Delirium was also independently associated with increased risk of death within 3 months (hazard ratio 3.68, 95% CI 1.69-8.02, P < 0.01) and 12 months (hazard ratio 3.76, 95% CI 2.05-6.90, P < 0.01). SSD was not associated with increased risk of death.

CONCLUSIONS

In SSD patients the risk of poor functional outcome after stroke is increased and intermediate between patients with and patients without delirium.