Longitudinal outcomes of ischemic versus hemorrhagic stroke: Differences may impact future trial design.

OBJECTIVES: Patients with intracerebral hemorrhage (ICH) are more likely to present with severe symptoms than those with ischemic stroke (IS); however, the way in which long-term outcomes differ between groups is less clear. Given that the tissue surrounding ICH is not always irreversibly infarcted, it may have the potential to recover more fully over time. Understanding the differences in expected outcome severity is critical in order to prognosticate and to determine appropriate outcome measures when designing clinical trials. MATERIALS AND METHODS: We used our prospectively collected stroke registry to identify and follow a cohort of 300 patients with ICH and 300 patients with IS, matched by age, sex, lesion size, location, and admission date. Paired t-tests were used to compare modified Rankin Scores (mRS) between groups at hospital discharge, 90-day, and >12-month follow-up time points. RESULTS: Not surprisingly, patients with ICH had worse discharge mRS scores compared to individuals with IS (4.20 (SD 0.09) versus 3.42 (SD 0.08)). However, rather than improving, the long-term outcomes remained significantly worse for ICH patients compared to their IS matches (4.02 (SD 0.15) versus 2.89 (SD 0.14) at 90 days, and 4.32 (SD 0.20) versus 3.16 (SD 0.22) at >12 months (p < 0.001 for all analyses)). CONCLUSIONS: This study longitudinally followed matched cohorts of patients with ICH and IS, confirming that outcomes for those with ICH remain significantly worse over time. Results allow for better long-term prognostication, illustrate the need for further intervention trials to improve outcomes, and inform the development of evidence-based endpoints.

Altered directional functional connectivity underlies post-stroke cognitive recovery.

Cortical ischaemic strokes result in cognitive deficits depending on the area of the affected brain. However, we have demonstrated that difficulties with attention and processing speed can occur even with small subcortical infarcts. Symptoms appear independent of lesion location, suggesting they arise from generalized disruption of cognitive networks. Longitudinal studies evaluating directional measures of functional connectivity in this population are lacking. We evaluated six patients with minor stroke exhibiting cognitive impairment 6-8 weeks post-infarct and four age-similar controls. Resting-state magnetoencephalography data were collected. Clinical and imaging evaluations of both groups were repeated 6- and 12 months later. Network Localized Granger Causality was used to determine differences in directional connectivity between groups and across visits, which were correlated with clinical performance. Directional connectivity patterns remained stable across visits for controls. After the stroke, inter-hemispheric connectivity between the frontoparietal cortex and the non-frontoparietal cortex significantly increased between visits 1 and 2, corresponding to uniform improvement in reaction times and cognitive scores. Initially, the majority of functional links originated from non-frontal areas contralateral to the lesion, connecting to ipsilesional brain regions. By visit 2, inter-hemispheric connections, directed from the ipsilesional to the contralesional cortex significantly increased. At visit 3, patients demonstrating continued favourable cognitive recovery showed less reliance on these inter-hemispheric connections. These changes were not observed in those without continued improvement. Our findings provide supporting evidence that the neural basis of early post-stroke cognitive dysfunction occurs at the network level, and continued recovery correlates with the evolution of inter-hemispheric connectivity.

Outcomes in Patients with Minor Stroke: Diagnosis and Management in the Post-thrombectomy Era.

In the era of mechanical thrombectomy and better preventative strategies, a higher number of patients are being discharged home from the hospital with the so-called minor strokes. This has significantly changed the landscape of stroke recovery. Unfortunately, while symptoms may be categorized as mild compared to individuals with higher NIH Stroke Scale scores, the physical, cognitive, and emotional sequelae can be disabling and result in failure to return to work and poor quality of life in a population with significant potential to recover fully. In this review, we discuss the current state of minor stroke, the most common pattern of resulting deficits, what is known about the underlying pathophysiology that leads to a relatively global pattern of impaired cognition following an infarct in any location, and special considerations for treatment based on this population's unique needs. Raising awareness of the current morbidity associated with minor stroke, the need for a uniform definition that allows for comparisons of individuals across studies, and further research focused on this population to optimize outcomes, has the potential to significantly improve recovery.

Baseline Function and Rehabilitation Are as Important as Stroke Severity as Long-term Predictors of Cognitive Performance Post-stroke.

OBJECTIVE: Although individuals with low stroke severity tend to recover well, cognitive impairment is common independent of stroke size or location. In this study, the patterns of recovery for individual cognitive domains and factors associated with outcome were examined. DESIGN: A prospectively enrolled cohort of patients with minor stroke was administered cognitive testing at 1, 6, and 12 mos postinfarct. Composite T scores were generated for global cognition and well as independent cognitive domains at each time point. Paired t tests compared changes in scores over time. Regression models identified factors associated with improvement. RESULTS: A total of 46 patients, with an average NIH Stroke Scale score of 2.7, were enrolled. Average age was 61.3 yrs. Patients improved overall between 1 and 6 mos; however, distinct patterns of recovery were seen for different cognitive domains. The most significant improvement was in spatial memory. Verbal memory scores remained low longitudinally. Motor speed and executive function increased, then plateaued. Despite a mean education of 13.6 yrs, only 36% of global cognition scores were higher than or equal to the normative mean at 12 mos, and only 57% of patients improved their global scores from 6 to 12 mos. Late recovery was associated with lower NIH Stroke Scale scores, higher 1-mo Montreal Cognitive Assessment scores, and rehabilitation. Baseline function predicted overall long-term recovery. CONCLUSION: Patterns of recovery are distinct for individual cognitive domains for patients with minor stroke. Stroke severity and rehabilitation influence trajectory. Premorbid baseline predicts long-term outcome.

When less is more: Non-contrast head CT alone to work-up hypertensive intracerebral hemorrhage.

Hypertension is a common cause of intracerebral hemorrhage (ICH). The work up typically involves neuroimaging of the brain and blood vessels to determine etiology. However, extensive testing may be unnecessary for presumed hypertensive hemorrhages, and instead prolong hospital stay and increase costs. This study evaluates the predictive utility of hemorrhage location on the non-contrast head CT in determining hypertensive ICH. Patients presenting with non-traumatic ICH between March 2014 and June 2019 were prospectively enrolled. Hemorrhage etiology was determined based on previously defined criteria. Chi square and Student's t tests were used to determine the association between patient demographics, ICH severity, neuroimaging characteristics, and medical variables, with hypertensive etiology. Multivariable regression models and an ROC analysis determined utility of CT to accurately diagnose hypertensive ICH. Data on 380 patients with ICH were collected; 42% were determined to be hypertensive. Along with deep location on CT, black race, history of hypertension, renal disease, left ventricular hypertrophy, and higher admission blood pressure were significantly associated with hypertensive etiology, while atrial fibrillation and anticoagulation were associated with non-hypertensive etiologies. Deep location alone resulted in an area under the curve of 0.726. When history of hypertension was added, this improved to 0.771. Additional variables did not further improve the model's predictability. Hypertensive ICH is associated with several predictive factors. Using deep location and history of hypertension alone correctly identifies the majority of hypertensive ICH without additional work-up. This model may result in more efficient diagnostic testing without sacrificing patient care.