Executive function subdomains are associated with post-stroke functional outcome and permanent institutionalization.

BACKGROUND AND PURPOSE: Impairment of executive functions (EFs) is a common cognitive symptom post-stroke and affects independence in daily activities. Previous studies have often relied on brief cognitive tests not fully considering the wide spectrum of EF subdomains. A detailed assessment of EFs was used to examine which of the subdomains and tests have the strongest predictive value on post-stroke functional outcome and institutionalization in long-term follow-up. METHODS: A subsample of 62 patients from the Helsinki Stroke Aging Memory Study was evaluated with a battery of seven neuropsychological EF tests 3 months post-stroke and compared to 39 healthy control subjects. Functional impairment was evaluated with the modified Rankin Scale (mRS) and Instrumental Activities of Daily Living (IADL) scale at 3 months, and with the mRS at 15 months post-stroke. Institutionalization was reviewed from the national registers of permanent hospital admissions in up to 21-year follow-up. RESULTS: The stroke group performed more poorly than the control group in multiple EF tests. Tests of inhibition, set shifting, initiation, strategy formation and processing speed were associated with the mRS and IADL scale in stroke patients. EF subdomain scores of inhibition, set shifting and processing speed were associated with functional outcome. In addition, inhibition was associated with the risk for earlier institutionalization. CONCLUSIONS: Executive function was strongly associated with post-stroke functional impairment. In follow-up, poor inhibition was related to earlier permanent institutionalization. The results suggest the prognostic value of EF subdomains after stroke.

Symptomatic post-thrombolytic intracerebral hemorrhage is not related to the cause of stroke.

BACKGROUND AND PURPOSE: The development of intracerebral hemorrhage following intravenous thrombolysis (IVT) can be influenced by various confounders related to the underlying vessel and tissue conditions. There are some data on association of cause of the stroke and the hemorrhage transformation. We tested the hypothesis that the cause of stroke is associated with the development of symptomatic intracerebral hemorrhage (sICH) following IVT. METHODS: A consecutive cohort of 2485 IVT-treated patients at the Helsinki University Central Hospital was classified according to the Trial of ORG 10172 in Acute Stroke Treatment (TOAST) criteria. An sICH was classified according to the European Cooperative Acute Stroke Study II criteria. The associations of sICH with nominal, ordinal and continuous variables were analyzed in a univariate binary regression model and adjusted in multivariate binary regression models. RESULTS: In univariate analyses, cardioembolism [odds ratio (OR), 1.14; 95% confidence interval (CI), 0.79-1.64] and large-artery atherosclerosis (OR, 1.30; 95% CI, 0.85-2.00) were not associated with sICH, and small-vessel occlusion was associated with lower odds for sICH (OR, 0.18; 95% CI, 0.06-0.57). When adjusted for previously identified factors associated with sICH, none of the TOAST categories was associated with a higher or lower frequency of sICH. CONCLUSIONS: The development of sICH in IVT-treated patients is not related to the cause of stroke.

Post-thrombolytic blood pressure and symptomatic intracerebral hemorrhage.

BACKGROUND AND PURPOSE: Most guidelines for intravenous thrombolysis (IVT) in acute ischaemic stroke patients advise keeping systolic blood pressure (BP) below 180/105 mmHg prior to the bolus injection. Less is known about optimal management of BP thereafter. We assessed temporal changes in post-thrombolytic systolic BP values and their impact on development of symptomatic intracerebral hemorrhage (sICH). METHODS: The study cohort included 1868 consecutive acute ischaemic stroke patients treated with IVT at the Helsinki University Central Hospital. sICH was defined according to the European Cooperative Acute Stroke Study II (ECASS-II) (primary outcome), National Institute of Neurological Disorders and Stroke, and Safe Implementation of Thrombolysis in Stroke criteria. We evaluated BP at admission, prior to IVT and at 2, 4, 8, 12, 24 and 48 h after thrombolysis. We used univariate and multivariable models to test the effect of BP at various time-points on development of post-thrombolytic sICH. RESULTS: Prevalence of sICH in the cohort was 5.8% (ECASS-II). Patients with sICH had significantly higher systolic BP at several time-points after IVT compared with those without sICH (P < 0.01 at 2 and 4 h; P < 0.05 at 12 and 48 h). The odds ratios for development of sICH per 10 mmHg increase in BP were 1.14 [95% confidence interval (CI), 1.03-1.25], 1.14 (95% CI, 1.03-1.25), 1.12 (95% CI, 1.01-1.23) and 1.12 (95% CI, 1.01-1.23), respectively. At 8 h, we observed a trend (P = 0.07) for ECASS-II and a significant effect (P < 0.05) for National Institute of Neurological Disorders and Stroke, and Safe Implementation of Thrombolysis in Stroke criteria. Thus, the only time-point with no difference observed was 24 h. CONCLUSIONS: Patients with post-thrombolytic sICH have significantly higher systolic BP at several time-points compared with patients without sICH.

Post-stroke cognitive impairment is common even after successful clinical recovery.

BACKGROUND AND PURPOSE: Cognitive impairment is common after stroke, but the prevalence and long-term significance of the diverse neuropsychological deficits on functional outcome are still not well known. The frequency and prognostic value of domain-specific cognitive impairments were investigated in a large cohort of ischaemic stroke patients. METHODS: Consecutive patients (n = 409), aged 55-85 years, from the acute stroke unit of the Helsinki University Hospital, Finland, were evaluated with extensive clinical and neuropsychological assessments 3 months post-stroke. Impairments within nine cognitive domains were determined according to age-appropriate normative data from a random healthy population. Functional disability was evaluated with the modified Rankin scale (mRS) 3 and 15 months post-stroke. RESULTS: In all, 83% patients showed impairment in at least one cognitive domain, whereas 50% patients were impaired in multiple (≥3) domains. In cases with excellent clinical recovery at 3 months (mRS = 0-1, no disability), the occurrence of any cognitive impairment was 71%. Memory, visuoconstructional and executive functions were most commonly impaired. A substantially smaller proportion of patients scored below the conventional or more stringent cut-offs in the Mini-Mental State Examination (MMSE). Domain-specific cognitive impairments were associated with functional dependence at 15 months regardless of stroke severity and other confounders. CONCLUSIONS: Cognitive impairment as evaluated with a comprehensive neuropsychological assessment is prevalent in stroke survivors even with successful clinical recovery. Typically multiple domains and complex cognitive abilities are affected. MMSE is not sensitive in detecting these symptoms. Post-stroke cognitive impairment is strongly related to poor functional outcome.

Extensive white matter changes predict stroke recurrence up to 5 years after a first-ever ischemic stroke.

BACKGROUND: White matter changes (WMCs), a surrogate for small-vessel disease (SVD), have been shown to be associated with a major negative influence on cognition, mood and functioning in daily life. We aimed to investigate whether severe WMCs are a risk factor for recurrent ischemic stroke in a long-term follow-up. METHODS: 320 consecutive patients admitted to hospital with a first-ever ischemic stroke were included in the study and followed up for 12 years using extensive national registers. Patients were aged between 55 and 85 years, with a mean age of 70.8 years. WMCs were rated using MRI and stratified into two grades: absent to moderate WMCs versus severe WMCs. Univariate analysis was performed using binary logistic regression analysis, Kaplan-Meier log rank analysis and life table function. To control for factors such as age, education and cardiovascular risk factors, a multivariate Cox regression proportional hazards analysis was made with forced entry. RESULTS: At least one recurrent stroke, nonfatal or fatal, was diagnosed in 76 (23.8%) patients at 5 years and in 127 (39.7%) patients at 12 years. In univariate analysis, only advancing age was associated with WMCs. The cumulative 5-year recurrence risk was 24.5% [95% confidence interval (95% CI) 23.8-25.2] for patients with absent to moderate WMCs and 39.1% (95% CI 38.1-40.1) for patients with severe WMCs. The cumulative 12-year recurrence risk was 48.1% (95% CI 45.5-50.7) for patients with absent to moderate WMCs and 60.9% (95% CI 56.7-65.1) for patients with severe WMCs. In Cox regression proportional hazards analysis, independent predictors of recurrent stroke at 5 years were severe WMCs [hazard ratio (HR) 1.80, 95% CI 1.11-2.95], atrial fibrillation (HR 1.81, 95% CI 1.09-3.02), hypertension (HR 1.69, 95% CI 1.05-2.71) and peripheral arterial disease (HR 1.89, 95% CI 1.06-3.38). At 12 years, only increasing age remained as an independent predictor (HR 1.04, 95% CI 1.02-1.07). In receiver operating characteristic analysis, the area under the curve for severe WMCs was 0.58 (95% CI 0.51-0.65) for the prediction of stroke recurrence within 5 years. CONCLUSIONS: In our well-defined cohort of poststroke patients, the presence of severe WMCs was an indicator of stroke recurrence up to 5 years after a first-ever ischemic stroke. WMCs can be considered as an SVD marker that summarizes the effects of several classical risk factors on the small-vessel brain network and therefore can be used as a score for risk stratification of stroke recurrence. Our findings further underline the poor long-term prognosis of cerebral SVD.

Small-vessel disease relates to poor poststroke survival in a 12-year follow-up.

OBJECTIVE: We sought to compare ultra-long-term poststroke survival in small-vessel disease (SVD) vs non-SVD subtype of stroke. METHODS: We followed patients hospitalized with acute ischemic stroke (age 55-85) for 12 years. The diagnosis of SVD was based on the criteria of Trial of Org 10172 in Acute Stroke Treatment. A detailed medical history regarding the relevant risk factors was obtained. Stroke severity was assessed with the modified Rankin Scale (mRS) at 3 months. Influence of the SVD subtype of stroke was analyzed using Kaplan-Meier log-rank analysis with endpoint all-cause death, and Cox regression proportional hazards model was constructed for multivariate analysis. The association between SVD and causes of death (cardiac, brain-related, all other) was analyzed using Kaplan-Meier log-rank analysis. RESULTS: Of the 486 patients, stroke etiology was SVD in 63 patients (13.0%). Median survival was 4.3 years for SVD and 7.9 years for non-SVD (p ≤ 0.001). In the stepwise Cox regression analysis adjusted for relevant confounders, independent predictors of death were SVD (hazard ratio [HR] 1.60, 95% confidence interval [CI] 1.06-2.41), advanced age (HR 1.07, 95% CI 1.05-1.09), stroke severity (mRS 3-5 vs 1-2; HR 2.02, 95% CI 1.58-2.58), smoking (HR 1.44, 95% CI 1.10-1.88), and cardiac failure (HR 1.53, 95% CI 1.14-2.06). SVD was associated with cardiac cause of death (p = 0.021). CONCLUSIONS: In this well-characterized ischemic stroke cohort of patients aged 55-85 years with a 12-year follow-up, acute index stroke attributable to SVD was associated with poorer long-term survival and higher risk for cardiac death than other stroke subtypes.

Cognitive impairment predicts poststroke death in long-term follow-up.

BACKGROUND: Poststroke global cognitive decline and dementia have been related to poor long-term survival. Whether deficits in specific cognitive domains are associated with long-term survival in patients with ischaemic stroke is not known in detail. METHODS: Patients with acute stroke subjected to comprehensive neuropsychological evaluation were included in the study (n = 409) and followed up for up to 12 years. RESULTS: In Kaplan-Meier analysis, impairments in following cognitive domains predicted poor poststroke survival (estimated years): executive functions (48.2%) (5.8 vs 10.1 years, p<0.0001), memory (59.9%) (6.8 vs 9.3 years, p = 0.009), language (28.9%) (5.3 vs 8.6 years, p = 0.004) and visuospatial/constructional abilities (55.2%) (5.6 vs 10.1 years, p<0.0001). Low Mini Mental Status Examination (MMSE)

Poststroke dementia predicts poor survival in long-term follow-up: influence of prestroke cognitive decline and previous stroke.

BACKGROUND: The aim of this study was to investigate the influence of poststroke dementia on long-term survival after acute stroke and also to assess the possible influence of prestroke cognitive decline and previous stroke on this relationship. METHODS: A total of 451 consecutive patients with acute ischaemic stroke admitted to hospital were included in the study and followed up for 12 years. Dementia was diagnosed 3 months after stroke in 115 patients (25.5%). RESULTS: In Kaplan-Meier analysis, poststroke dementia predicted poor long-term survival (5.1 years vs 8.8 years in patients who did not have poststroke dementia; p<0.001). Prestroke cognitive decline had a negative influence on survival in patients with poststroke dementia (3.8 years vs 5.8 years; p<0.001); however, previous stroke did not affect survival in these patients (p = 0.676). In stepwise Cox regression proportional hazards analysis adjusted for significant covariates, poststroke dementia (hazard ratio (HR) 1.53; p = 0.003), advanced age (HR 1.07; p<0.001), severity of stroke (HR 1.91; p<0.001), smoking (HR 1.35; p = 0.035), cardiac failure (HR 1.61; p = 0.003) and atrial fibrillation (HR 1.89; p = 0.035) were all independent predictors of poor long-term survival. Poststroke dementia (HR 2.33; p<0.001), advanced age (HR 1.07; p<0.001) and poor Rankin score (HR 2.15; p = 0.001) were associated with death from brain-related causes, including infarction, haemorrhage and dementia. CONCLUSIONS: Long-term follow-up of our large well-defined poststroke cohort indicated that in patients with acute stroke, dementia is a significant predictor of poor long-term survival and death from brain-associated causes. Prestroke cognitive decline seems to have an additional negative influence on survival, but previous stroke does not seem to affect survival.