Are the Items of the Starkstein Apathy Scale Fit for the Purpose of Measuring Apathy Post-stroke?

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.

Diagnostic and Management Strategies for Common Neurobehavioral and Psychiatric Disturbances Among Patients with Cognitive Impairment and the Dementias

Neurobehavioral and neuropsychiatric symptoms are highly prevalent among individuals diagnosed with cognitive impairment or dementia and impact the quality of life for patients and caregivers alike. Diagnosis and management of these conditions (including primarily depression, anxiety, apathy, psychosis, agitation, and aggression) is crucial to optimal patient care outcomes in clinical practice. The present article provides a practical review of diagnostic approaches and management strategies for behavioral and neuropsychiatric disorders arising in patients with cognitive impairment, up to and including dementia.

Relationship between reward-related evoked potentials and real-world motivation in older people living with human immunodeficiency virus

Apathy, a clinical disorder characterized by low motivation, is prevalent in people living with Human Immunodeficiency Virus (HIV). It affects mental and physical health-related quality-of-life, medication adherence, and is associated with cognitive decline. However, the causes of apathy and the underlying brain mechanisms in HIV are unknown. Brain responses to reward may be relevant to understanding apathy and might serve as biomarkers for diagnosis or treatment response. Electroencephalogram (EEG) responses to gain and loss feedback in simple guessing tasks have been related to apathy in neurodegenerative conditions and healthy individuals. The primary aim of this study is to contribute evidence regarding the relationship between two EEG correlates of reward processing, the Reward Positivity, and the Feedback-P300, and real-world motivated behavior indicated by self-reported hours engaged in goal-directed leisure activities per week, in older individuals with well-controlled HIV infection. High-density EEG was collected from 75 participants while they performed a guessing task with gain or loss feedback. We found that a later component of reward processing, the Feedback-P300, was related to real-world engagement, while the earlier Reward Positivity was not. The Feedback-P300 measured with EEG holds promise as a biomarker for motivated behavior in older people living with HIV. These findings lay the groundwork for a better understanding of the neurobiology of apathy in this condition.

Does effort-cost decision-making relate to real-world motivation in people living with HIV?

INTRODUCTION

Low motivation is frequent in older people with HIV, yet poorly understood. Effort-cost decision-making (ECDM) tasks inspired by behavioral economics have shown promise as indicators of motivation or apathy. These tasks assess the willingness to exert effort to earn a monetary reward, providing an estimate of the subjective "cost" of effort for each participant. Here we sought evidence for a relationship between ECDM task performance and self-reported motivation in a cross-sectional study involving 80 middle-aged and older people with well-controlled HIV infection, a chronic health condition with a high burden of mental and cognitive health challenges.

METHODS

Participants attending a regular follow-up visit for a Canadian longitudinal study of brain health in HIV completed a computerized ECDM task and a self-report measure of motivation. Other brain health measures were available, collected for the parent study (cognition, depression, anxiety, and vitality, as well as self-reported time spent on real-world leisure activities).

RESULTS

Contrary to our hypothesis, we found no relationship between ECDM performance and self-reported motivation. However, those willing to accept higher effort in the ECDM task also reported more time engaged in real-world activities. This association had a small-to-moderate effect size.

CONCLUSIONS

The behavioral economics construct of subjective cost of effort, measured with a laboratory ECDM task, does not relate to motivation in people living with chronic HIV. However, the task shows some relationship with real-world goal-directed behavior, suggesting this construct has potential clinical relevance. More work is needed to understand how the subjective cost of effort plays out in clinical symptoms and everyday activities.