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Depression and cognitive complaints are common after stroke; these issues have been studied in older populations, but not in the young. Two hundred and seventy four eligible stroke and TIA patients consented to participate and complete the Center for Epidemiologic Studies Depression Scale, and National Institute of Neurological Disorders and Stroke - Canadian Stroke Network 30-min neuropsychological battery; 57 (21%) were ≤ 50 years of age. Younger patients reported greater symptoms of depression and less executive dysfunction than older patients. This study highlights age differences in post-stroke depression symptoms and cognitive impairment, and emphasizes the need for screening across ages.

This study examined the relationship between apathy and cognition in patients with cerebrovascular disease. Apathy may result from damage to frontal subcortical circuits causing dysexecutive syndromes, but apathy is also related to depression. We assessed the ability of apathy to predict phonemic fluency and semantic fluency performance after controlling for depressive symptoms in 282 individuals with stroke and/or transient ischemic attack.Participants (N = 282) completed the Phonemic Fluency Test, Semantic Fluency Test, Center for Epidemiologic Studies Depression Scale, and Apathy Evaluation Scale. A cross-sectional correlational design was utilized.Using hierarchical linear regressions, apathy scores significantly predicted semantic fluency performance (β = -.159, p = .020), but not phonemic fluency performance (β = -.112, p = .129) after scaling scores by age and years of education and controlling for depressive symptoms. Depressive symptoms entered into the first step of both hierarchical linear regressions did not predict semantic fluency (β = -.035, p = .554) or phonemic fluency (β = -.081, p = .173). Apathy and depressive symptoms were moderately correlated, r(280) = .58, p .001.The results of this study are consistent with research supporting a differentiation between phonemic and semantic fluency tasks, whereby phonemic fluency tasks primarily involve frontal regions, and semantic fluency tasks involve recruitment of more extended networks. The results also highlight a distinction between apathy and depressive symptoms and suggest that apathy may be a more reliable predictor of cognitive deficits than measures of mood in individuals with cerebrovascular disease. Apathy may also be more related to cognition due to overlapping motivational and cognitive frontal subcortical circuitry. Future research should explore whether treatments for apathy could be a novel target for improving cognitive outcomes after stroke.

Stroke can cause neurological impairment ranging from mild to severe, but the impact of stroke extends beyond the initial brain injury to include a complex interplay of devastating comorbidities including: post-stroke depression, obstructive sleep apnea, and cognitive impairment (“DOC”). We reviewed the frequency, impact, and treatment options for each DOC condition. We then used the Ottawa Model of Research Use to examine gaps in care, understand the barriers to knowledge translation, identification, and addressing these important post-stroke comorbidities. Each of the DOC conditions is common and result in poorer recovery, greater functional impairment, increased stroke recurrence and mortality, even after accounting for traditional vascular risk factors. Despite the strong relationships between DOC comorbidities and these negative outcomes as well as recommendations for screening based on best practice recommendations from several countries, they are frequently not assessed. Barriers related to the nature of the screening tools (e.g., time consuming in high-volume clinics), practice environment (e.g., lack of human resources or space), as well as potential adopters (e.g., equipoise surrounding the benefits of treatment for these conditions) pose challenges to routine screening implementation. Simple, feasible approaches to routine screening coupled with appropriate, evidence-based treatment protocols are required to better identify and manage depression, obstructive sleep apnea, and cognitive impairment symptoms in stroke prevention clinic patients to reduce the impact of these important post-stroke comorbidities. These tools may in turn facilitate large-scale randomized controlled treatment trials of interventions for DOC conditions that may help to improve cardiovascular outcomes after stroke or TIA.

Objective Psychiatric symptoms, including depression and apathy, may significantly impede functional and cognitive capabilities following a cerebrovascular event. This study examined the role of apathy and depression on learning and memory performance in stroke patients. Method Stroke patients (n = 140 [119 ischemic, 21 hemorrhagic], mean age = 60.6 [SD = 15.1]) completed the Apathy Evaluation Scale (AES), the Center for Epidemiologic Studies Depression Scale (CES-D), and the California Verbal Learning Test-Second Edition (CVLT-II). Results Using a 2 × 2 MANOVA with depression (CESD ≥ 16) and apathy (AES ≥ 34) as the independent variables and cognitive performance (i.e., verbal acquisition, short-term free recall, and long-term free recall) as the dependent variables, we found a main effect for apathy (F[3,134] = 2.98, p = .034), such that apathetic stroke patients (n = 24) performed significantly worse on verbal acquisition (F[1,136] = 6.44; p = .012), short-term free recall (F[1,136] = 7.86; p = .006), and long-term free recall (F[1,136] = 8.37; p = .004) than nonapathetic stroke patients (n = 116). There was no main effect of depression on cognitive performance (F[1,136] = 1.72, p = .155). Conclusions These results suggest that apathy, not depression, is related to verbal memory performance in stroke patients. Future research should explore whether treatment of apathy (e.g., improving motivation) could be a novel target for improving cognition after stroke. Researchers should also examine whether this model can be applied to other aspects of cognition, including executive function and other areas of memory including autobiographical and working memory.

Background Post-stroke Depression, Obstructive sleep apnea (OSA) and Cognitive impairment (“DOC”) are associated with greater mortality, worse recovery and poorer quality of life. Best practice recommendations endorse routine screening for each condition; yet, all are under-assessed, diagnosed and treated. We seek to determine the feasibility and validity of an integrated tool (“DOC” screen) to identify stroke clinic patients at high-risk of depression, OSA, and cognitive impairment. Methods All consecutive new referrals to a regional Stroke Prevention Clinic who were English-speaking and non-aphasic were eligible to be screened. Time for screen completion was logged. DOC screen results were compared to the neuropsychological battery and polysomnogram assessments using a modified receiver operator characteristic and area under the curve analysis. Data is reported to conform to STARD guidelines. Findings 1503 people were screened over 2 years. 89% of eligible patients completed the screen in 5 minutes or less (mean 4.2 minutes), less than half the time it takes to complete the Montreal Cognitive Assessment (MoCA). 437 people consented to detailed testing. Of those, 421 completed the Structured Clinical Interview for Depression within 3 months of screening, 387 completed detailed neuropsychological testing within 3 months, and 88 had overnight polysomnograms. Screening scores combined with demographic variables (age, sex, education, body mass index), had excellent validity compared to gold standard diagnoses: DOC-Mood AUC 0.90; DOC-Apnea AUC 0.80; DOC-Cog AUC 0.81. DOC screen scores can reliably categorize patients in to low-, intermediate- or high-risk groups for further action and can do so with comparable accuracy to more time-consuming screens. Conclusions Systematic screening of depression, obstructive sleep apnea, and cognitive impairment in 5 minutes or less is feasible and valid in a high volume stroke clinic using the DOC screen. The DOC screen may facilitate improved identification and treatment of these comorbidities to improve function in patients after stroke and in those with other neurological diseases that share these comorbid conditions (e.g. Alzheimer’s disease/mild cognitive impairment, Parkinson’s disease, Traumatic Brain Injury, multiple sclerosis).