Men Are at Higher Risk of Screening Positive for Vascular Cognitive Impairment Compared to Women after Stroke and Transient Ischemic Attack.

While women have greater incidence of dementia, men have higher prevalence of vascular risk factors. This study examined sex differences in risk of screening positive for cognitive impairment after stroke. Ischemic stroke/TIA patients (N = 5969) participated in this prospective, multi-centered study, which screened for cognitive impairment using a validated brief screen. Men showed a higher risk of screening positive for cognitive impairment after adjusting for age, education, stroke severity, and vascular risk factors, suggesting that other factors may be contributing to increased risk among men (OR = 1.34, CI 95% [1.16, 1.55], p < 0.001). The effect of sex on cognitive impairment after stroke warrants further attention.

Language discordance as a marker of disparities in cerebrovascular risk and stroke outcomes: A multi-center Canadian study.

Background: Differences in ischemic stroke outcomes occur in those with limited English proficiency. These health disparities might arise when a patient's spoken language is discordant from the primary language utilized by the health system. Language concordance is an understudied concept. We examined whether language concordance is associated with differences in vascular risk or post-stroke functional outcomes, depression, obstructive sleep apnea and cognitive impairment. Methods: This was a multi-center observational cross-sectional cohort study. Patients with ischemic stroke/transient ischemic attack (TIA) were consecutively recruited across eight regional stroke centers in Ontario, Canada (2012 - 2018). Participants were language concordant (LC) if they spoke English as their native language, ESL if they used English as a second language, or language discordant (LD) if non-English speaking and requiring translation. Results: 8156 screened patients. 6,556 met inclusion criteria: 5067 LC, 1207 ESL and 282 LD. Compared to LC patients: (i) ESL had increased odds of diabetes (OR = 1.28, p = 0.002), dyslipidemia (OR = 1.20, p = 0.007), and hypertension (OR = 1.37, p<0.001) (ii) LD speaking patients had an increased odds of having dyslipidemia (OR = 1.35, p = 0.034), hypertension (OR = 1.37, p<0.001), and worse functional outcome (OR = 1.66, p<0.0001). ESL (OR = 1.88, p<0.0001) and LD (OR = 1.71, p<0.0001) patients were more likely to have lower cognitive scores. No associations were noted with obstructive sleep apnea (OSA) or depression. Conclusions: Measuring language concordance in stroke/TIA reveals differences in neurovascular risk and functional outcome among patients with limited proficiency in the primary language of their health system. Lower cognitive scores must be interpreted with caution as they may be influenced by translation and/or greater vascular risk. Language concordance is a simple, readily available marker to identify those at risk of worse functional outcome. Stroke systems and practitioners must now study why these differences exist and devise adaptive care models, treatments and education strategies to mitigate barriers influenced by language discordance.

The Role of Apathy and Depression on Verbal Learning and Memory Performance After Stroke.

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.

Apathy, not depressive symptoms, as a predictor of semantic and phonemic fluency task performance in stroke and transient ischemic attack.

OBJECTIVES: 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. METHOD: 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. RESULTS: Using hierarchical linear regressions, apathy scores significantly predicted semantic fluency performance (ß = -.159, p = .020), but not phonemic fluency performance (ß = -.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 (ß = -.035, p = .554) or phonemic fluency (ß = -.081, p = .173). Apathy and depressive symptoms were moderately correlated, r(280) = .58, p < .001. CONCLUSIONS: 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.

The incidence of pregnancy-related stroke: A systematic review and meta-analysis.

Background Stroke risk is increased during pregnancy, but estimates of pregnancy-related stroke incidence vary widely. Aims A systematic review and meta-analysis was conducted to assess the incidence of stroke during pregnancy and the puerperium. Ovid Medline, EMBASE, and ISI Web of Science were searched for studies published between 1990 and January 2017 reporting stroke incidence during pregnancy and postpartum, from defined pregnancy populations. Pooled analyses were conducted using a random effects approach and expressed as an incidence rate per 100,000 pregnancies, with 95% confidence intervals. Subgroup analyses of stroke type and timing were conducted. Summary of review Eleven studies met inclusion criteria. Variation in estimated rates was noted based on geography and study methodology. The pooled crude rate of pregnancy-related stroke was 30.0 per 100,000 pregnancies (95% confidence interval 18.8-47.9). The pooled crude rates from nonhemorrhagic stroke (arterial and cerebral venous sinus thrombosis) were 19.9 (95% confidence interval 10.7-36.9) and from hemorrhage 12.2 (95% confidence interval 6.4-23.2) per 100,000 pregnancies. For studies separately reporting cerebral venous sinus thrombosis, the rates were roughly equal between ischemic stroke (12.2, 95% confidence interval 6.7-22.2), cerebral venous sinus thrombosis (9.1, 95% confidence interval 4.3-18.9), and hemorrhage (12.2, 95% confidence interval 6.4-23.2). The crude stroke rate for antenatal/perinatal stroke was 18.3 (95% confidence interval 11.9-28.2), and for postpartum stroke was 14.7 (95% confidence interval 8.3-26.1). Conclusions Stroke affects 30.0 per 100,000 pregnancies, with ischemia, cerebral venous sinus thrombosis, and hemorrhage causing roughly equal numbers and with highest risk peripartum and postpartum. Organized approaches to the management of this high-risk population, informed by existing evidence from stroke and obstetrical care are needed.

A System-Based Intervention to Improve Access to Hyperacute Stroke Care.

BACKGROUND: Hyperacute stroke is a time-sensitive emergency for which outcomes improve with faster treatment. When stroke systems are accessed via emergency medical services (EMS), patients are routed to hyperacute stroke centres and are treated faster. But over a third of patients with strokes do not come to the hospital by EMS, and may inadvertently arrive at centres that do not provide acute stroke services. We developed and studied the impact of protocols to quickly identify and move "walk-in" patients from non-hyperacute hospitals to regional stroke centres (RSCs). METHODS AND RESULTS: Protocols were developed by a multi-disciplinary and multi-institutional working group and implemented across 14 acute hospital sites within the Greater Toronto Area in December of 2012. Key metrics were recorded 18 months pre- and post-implementation. The teams regularly reviewed incident reports of protocol non-adherence and patient flow data. Transports increased by 80% from 103 to 185. The number of patients receiving tissue plasminogen activator (tPA) increased by 68% from 34 to 57. Total EMS transport time decreased 17 minutes (mean time of 54.46 to 37.86 minutes, p<0.0001). Calls responded to within 9 minutes increased from 34 to 59%. CONCLUSIONS: A systems-based approach that included a multi-organizational collaboration and consensus-based protocols to move patients from non-hyperacute hospitals to RSCs resulted in more patients receiving hyperacute stroke interventions and improvements in EMS response and transport times. As hyperacute stroke care becomes more centralized and endovascular therapy becomes more broadly implemented, the protocols developed here can be employed by other regions organizing patient flow across systems of stroke care.

The "DOC" screen: Feasible and valid screening for depression, Obstructive Sleep Apnea (OSA) and cognitive impairment in stroke prevention clinics.

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).

Post-stroke depression, obstructive sleep apnea, and cognitive impairment: Rationale for, and barriers to, routine screening.

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.

Validating a Pragmatic Approach to Cognitive Screening in Stroke Prevention Clinics Using the Montreal Cognitive Assessment.

BACKGROUND AND PURPOSE: The Montreal Cognitive Assessment (MoCA) is used commonly to identify cognitive impairment (CI), but there are multiple published cut points for normal and abnormal. We seek to validate a pragmatic approach to screening for moderate-severe CI, by classifying patients into high-, intermediate-, and low-risk categories. METHODS: A total of 390 participants attending an academic Stroke Prevention Clinic completed the MoCA and more detailed neuropsychological testing. Between April 23, 2012 and April 30, 2014, all consecutive new referrals to the regional Stroke Prevention Clinic who were English-speaking, not severely aphasic, and could see and write well enough to complete neuropsychological testing were assessed for inclusion, and consenting patients were enrolled. CI was defined as ≥2 SDs below normal for age and education on at least 2 cognitive subtests. A single cut point for CI was compared with 2 cut points (high sensitivity and high specificity) generated using receiver operator characteristic and area under the curve analyses. The intermediate-risk group contained those scoring between the 2 cut points. RESULTS: Thirty-four percent of participants had a symptomatic or silent stroke, 34% were seen for possible or probable transient ischemic attack, and 32% were diagnosed with other vascular or nonvascular conditions. Using a single cut point, sensitivity and specificity were optimal with MoCA ≤22, (sensitivity=60.4%, specificity=89.9%, area under the curve=0.801, positive predictive value=48.5%, negative predictive value=93.5%, positive likelihood ratio=6, and negative likelihood ratio=0.4). Using 2 cut points, sensitivity was optimal with MoCA ≥28 (sensitivity=96.2%, negative predictive value =97.6%, and negative likelihood ratio=1.27), and specificity was optimal with MoCA ≤22 (specificity=89.9%, positive predictive value=48.5%, and positive likelihood ratio=6). CONCLUSIONS: Stratifying participants into 3 categories facilitates the identification of a homogenous group at low risk for CI, as well as 2 other groups with intermediate and higher risk. This approach could facilitate clinical care pathways and patient selection for research.