Asymmetrical cortical vein sign predicts early neurological deterioration in acute ischemic stroke patients with severe intracranial arterial stenosis or occlusion.

BACKGROUND: Susceptibility weighted imaging (SWI) provides an approximate assessment of tissue perfusion and shows prominent hypointense cortical veins in the ischemic territory because of the increased concentration of deoxyhemoglobin. We aimed to evaluate whether asymmetrical prominent cortical vein sign (APCVS) on SWI can predict early neurological deterioration (END) in acute ischemic stroke patients with severe intracranial arterial stenosis or occlusion (SIASO). METHODS: One hundred and nine acute ischemic stroke patients with SIASO who underwent SWI were retrospectively recruited. END was defined as an increase in the National Institutes of Health Stroke Scale score ≧2 points despite standard treatment in the first 72 h after admission. The APCVS was defined as more and/or large vessels with greater signal loss than those in the opposite hemisphere on SWI. RESULTS: Thirty out of the 109 (27.5%) patients developed END. Sixty (55.0%) patients presented with APCVS on SWI. APCVS occurred in 24 (80%) patients with END, whereas it only occurred in 36 (45.6%) patients without END (P = 0.001). Patients with APCVS were more likely to have END (40.0%, vs. 12.2%, P = 0.001) than those without END. Multivariate logistic regression indicated that APCVS (OR = 4.349, 95% C.I. = 1.580-11.970, P = 0.004) was a significant predictor of END in acute ischemic stroke patients with SIASO, adjusted for previous stroke history and acute infarct volume. CONCLUSIONS: In acute ischemic stroke patients with SIASO, the APCVS might be a useful neuroimaging marker for predicting END, which suggests the importance of evaluation of perfusion status.

Intracranial Atherosclerosis and Poststroke Depression in Chinese Patients with Ischemic Stroke.

BACKGROUND: Intracranial atherosclerosis (ICAS) is a common etiology of ischemic stroke in Chinese patients, probably leading to regional hypoperfusion in the brain. The purpose of this prospective study was to investigate the association between ICAS and poststroke depression in Chinese patients with ischemic stroke. METHODS: During the study period, a total of 569 patients aged between 40 and 80 years with acute ischemic stroke were consecutively admitted and screened. Patients with a National Institutes of Health Stroke Scale (NIHSS) total score of 15 or higher, with severe cognitive impairment, or with a history of depression before stroke were excluded. Two hundred seven patients with ischemic stroke were consecutively recruited in the study. Depressive symptoms were assessed in the acute stage and 3 months after stroke. Poststroke depression was defined as a score of 8 or higher in the 24-item Hamilton Depression Rating Scale. The evaluation of the magnetic resonance imaging scans focused on infarctions, white matter lesions, brain atrophy, and ICAS. RESULTS: In the acute stage of stroke, logistic regression revealed that female sex, NIHSS score at admission, prestroke insomnia, and ICAS were significant predictors of poststroke depression. At 3 months after stroke, prestroke insomnia, the Mini-Mental State Examination score and ICAS were significant predictors of poststroke depression. CONCLUSIONS: ICAS may be a significant independent predictor of poststroke depression in Chinese patients with ischemic stroke.

High neutrophil-to-lymphocyte ratio is a predictor of poor short-term outcome in patients with mild acute ischemic stroke receiving intravenous thrombolysis.

INTRODUCTION: Very few studies have investigated the specific relationship between neutrophil-to-lymphocyte ratio (NLR) and the short-term outcomes of patients suffering from mild acute ischemic stroke (AIS) and receiving intravenous thrombolysis (IVT). This study aimed to investigate whether a high NLR is associated with a poor short-term outcome in patients with mild AIS after IVT. METHODS: We retrospectively analyzed data that were prospectively acquired from patients with AIS treated with IVT. Mild AIS was defined as a National Institutes of Health Stroke Scale (NIHSS) score ≤ 7 on admission. The NLR was based on a blood test performed prior to IVT and was classified as 'high' when exceeding the 75th percentile. Follow-ups were performed at discharge and 3 months after onset. A poor outcome was defined as a modified Rankin scale (mRS) ≥3. RESULTS: A total of 192 patients were included in this study. The median NLR was 3.0 (interquartile range [IQR]: 2.0-3.9). Fifty-one patients (26.6%) had a high NLR (≥3.9) on admission. Forty-one patients (21.4%) had a poor outcome at discharge, while 34 patients (17.7%) had a poor outcome at 3 months. Patients with a poor outcome at discharge, and at 3 months after onset, were more likely to have a high NLR at discharge (42.9% vs. 21.9%; p = .005) and at 3 months (44.1% vs. 22.8%; p = .011), compared with those with a better outcome. After adjustment for NIHSS score on admission, ipsilateral severe intracranial large artery occlusion, and atrial fibrillation, logistic regression analyses revealed that a high NLR was a significant predictor of poor outcome at discharge and at 3 months after onset. CONCLUSIONS: A high NLR on admission could be a useful marker for predicting poor short-term outcome in patients with mild AIS following IVT.

Asymmetrical cortical vessel sign predicts prognosis after acute ischemic stroke.

INTRODUCTION: To assess whether the asymmetrical cortical vessel sign (ACVS) on susceptibility-weighted imaging (SWI) could predict 90-day poor outcomes in anterior circulation acute ischemic stroke (AIS) patients treated with recombinant tissue plasminogen activator (r-tPA). METHODS: Clinical data of consecutive patients with anterior circulation AIS treated with r-tPA were retrospectively analyzed. Clinical variables included age, sex, vascular risk factors, NIHSS score, onset to treatment time, and initial hematologic and neuroimaging findings. Follow-up was performed 90 days after onset. Poor outcome was defined as a modified Rankin scale (mRS) ≥3 at 90 days. RESULTS: A total of 145 patients were included, 35 (24.1%) patients presented with ACVS (≥Grade 1) on SWI. Fifty-three (36.6%) patients had a poor outcome at 90 days. ACVS (≥Grade 1) occurred in 21 (39.6%) patients with poor outcome compared with 14 (15.2%) patients with favorable outcome (p = .001). Univariate analysis indicated that age, NIHSS score on admission, previous stroke, hemorrhagic transformation, severe intracranial large artery stenosis or occlusion (SILASO), and ACVS were associated with 90-day poor outcome (p < .05). Since SILASO and ACVS were highly correlated and ACVS had different grades, we used three logistic regression models. Results from the three models showed that ACVS was associated with 90-day poor outcome. CONCLUSIONS: In r-tPA-treated patients with anterior circulation AIS, ACVS might be a helpful neuroimaging predictor for poor outcome at 90 days.

Anxiety in Patients With Acute Ischemic Stroke: Risk Factors and Effects on Functional Status.

Background: Anxiety is prevalent after a stroke. The pathophysiological mechanisms underlying the development of poststroke anxiety (PSA) remain unclear. The aim of this study was to investigate the clinical and neuroimaging risk factors for development of PSA and examine the effects of PSA on activities of daily living (ADL) and quality of life (QOL) in Chinese patients with ischemic stroke. Methods: Two hundred nineteen patients with acute ischemic stroke were recruited to the study. A series of comprehensive assessments, including Hamilton Anxiety Rating Scale (HARS), Hamilton Depression Rating Scale (HDRS), Lawton ADL Scale, and the Stroke-Specific Quality of Life (SSQOL) Scale, were conducted in the acute stage and 3 months after stroke. Magnetic resonance imaging assessment focused on evaluation of infarctions, white matter lesions, and brain atrophy. Results: In the acute stage and 3 months after stroke, 34 (16%) and 33 (15%) patients had PSA, respectively. Multiple logistic regression analysis indicated that HDRS (OR = 1.269, 95% CI = 1.182-1.364, P < 0.001) and acute infarcts in cerebral hemispheric white matter (CHWM; OR = 2.902, 95% CI = 1.052-8.007, P = 0.040) were significant correlates of PSA in the acute stage of stroke. Three months after stroke, these correlates remained significant predictors, along with male sex. Multiple linear regressions showed that age, NIHSS, HARS, and HDRS in the acute stage were significant predictors for both ADL and SSQOL at 3 months after stroke. Conclusion: Depressive symptoms are the major correlates of PSA while more severe PSA is associated with poorer ADL and health-related QOL. Acute lesions involving CHWM may correlate with PSA in ischemic stroke patients with mild-to-moderate neurologic deficits, supporting a lesion-location hypothesis in PSA.

Neuroimaging indicators of the performance of instrumental activities of daily living in Alzheimer's disease combined with cerebrovascular disease.

OBJECTIVES: The aim of the present study was to explore the magnetic resonance imaging correlates of the performance of instrumental activities of daily living (IADL) in patients with Alzheimer's disease combined with cerebrovascular disease. METHODS: A total of 66 patients with Alzheimer's disease combined with cerebrovascular disease formed the study sample. Two regression models were constructed to find correlates of IADL. Model 1 only included clinical variables and model 2 included both clinical and magnetic resonance imaging variables. RESULTS: In model 1, with IADL as the dependent variable, the Mini-Mental State Examination (MMSE) score, Physical Self-Maintenance Scale score at baseline and age were significant correlates accounting for 40.1% of the variance of IADL at baseline. MMSE score and age were also significant correlates of IADL at 6 months, accounting for 38.1% of the variance of it. In model 2, severity of white matter lesions, MMSE and Physical Self-Maintenance Scale scores at baseline significantly correlated with IADL at baseline, accounting for 52.1% of the variance of the dependent variables; severity of white matter lesions and MMSE significantly correlated with IADL at 6 months, accounting for 41.5% of the variance of the dependent variables. CONCLUSION: In patients with Alzheimer's disease combined with cerebrovascular disease, subcortical ischemic lesions might be significant contributor to the functional status.

Poststroke fatigue: risk factors and its effect on functional status and health-related quality of life.

BACKGROUND: Fatigue is a common problem in ischemic stroke survivors. The mechanisms of poststroke fatigue are uncertain yet. The effects of it on functional status have rarely been studied. AIMS: The aim of this study was to investigate the risk factors of poststroke fatigue and its effect on activities of daily living and health-related quality of life in Chinese patients with ischemic stroke. METHODS: Two hundred and eighteen patients with ischemic stroke formed the study sample. A comprehensive assessment, including the Fatigue Severity Scale, Hamilton Depression Rating Scale, Lawton activities of daily living scale, and the stroke-specific quality of life scale, was conducted three-months after stroke. Magnetic resonance imaging scans focused on the evaluation of infarctions, white matter lesions, and brain atrophy. RESULTS: In the whole sample, with Fatigue Severity Scale as the dependent variable in a linear regression model, Hamilton Depression Rating Scale, prestroke fatigue, and the National Institutes of Health Stroke Scale score at admission were significant correlates of Fatigue Severity Scale, accounting for 36% of the variance of it. When subjects with depression (Hamilton Depression Rating Scale ≥ 20 or current usage of antidepressants) were excluded, only Hamilton Depression Rating Scale and prestroke fatigue remained significant correlates of Fatigue Severity Scale, accounting for 33% of the variance of Fatigue Severity Scale. No magnetic resonance imaging variables correlated with Fatigue Severity Scale. In bivariate correlation analyses, Fatigue Severity Scale was significantly correlated with both activities of daily living and stroke-specific quality of life. In linear regression models, Fatigue Severity Scale independently contributed to activities of daily living accounting for 27% of the variance. Fatigue Severity Scale was also a significant contributor to stroke-specific quality of life accounting for 39% of the variance. CONCLUSION: Depressive symptoms and prestroke fatigue are major correlates of poststroke fatigue while more severe poststroke fatigue is associated with poorer activities of daily living and health-related quality of life.