First-ever Ischemic Stroke Patients Research Articles

Sex Differences in Trends in Stroke Recurrence and Postrecurrence Mortality 2000-2020: Population-Based Brain Attack Surveillance in Corpus Christi Project.

This study was undertaken to delineate 21-year sex-specific trends in recurrence and postrecurrence mortality. Between 2000 and 2020, first-ever ischemic stroke (IS) patients, ascertained from the population-based BASIC (Brain Attack Surveillance in Corpus Christi) project in South Texas, were followed for recurrent stroke and all-cause mortality until December 31, 2020. Multivariable regression models with an interaction between calendar year and sex were used to estimate sex-specific trends and sex differences in recurrence and postrecurrence mortality. Of the 6,057 IS patients (median age = 69 years, 49.8% women), 654 (10.8%) had a recurrence and 399 (47.7%) had postrecurrence mortality during 5 years of follow-up. In 2000, women had 2.5% higher albeit non-statistically significant 5-year risk of recurrence than men in absolute scale. With the trend declining in women by 7.6% (95% confidence interval [CI] = -10.8 to -4.5%) and in men by 3.6% (95% CI = -6.5% to -0.7%), the risk at the end of the study period was 1.5% (95% CI = -0.3% to 3.6%) lower among women than men. For postrecurrence mortality, the risk was 10.2% lower among women in 2000, but the sex difference was 3.3% by the end of the period, which was due to a larger overall increase in the risk among women than men over the entire time period. The declines in recurrent stroke suggest successful secondary stroke prevention, especially in women. However, the continued high postrecurrence mortality among both sexes at the end of study period emphasizes the need for ongoing interventions to improve prognosis in those who have had recurrent cerebrovascular events. ANN NEUROL 2024.

Predicting asymptomatic coronary artery disease in first-ever acute ischemic stroke patients: a cross-sectional study.

It is frequently observed that patients with first-ever acute ischemic stroke (AIS) have a common occurrence of asymptomatic coronary artery disease (CAD). This condition is associated with a poor prognosis. Early detection and recognition of asymptomatic CAD in first-ever AIS patients may optimize the clinical management and ultimately lead to improved outcomes. The aim of this study was to investigate the role of aortic arch plaque (AAP) detected through combined computed tomography angiography (CTA) as an early predictor of asymptomatic CAD in patients with first-ever AIS without prior diagnosis of CAD. A cross-sectional study was conducted at Xuanwu Hospital, Capital Medical University from January 2019 to December 2021, involving patients with first-ever AIS caused by large arterial atherosclerosis. Patients with a history of recognized cardiovascular disease, nonatherosclerotic arterial stenosis, atrial fibrillation related to cardioembolism, and complete carotid occlusions were excluded. The study utilized a combined coronary and cervicocephalic CTA to evaluate atherosclerosis in the cervicocephalic, aortic, and coronary arteries simultaneously. First-ever AIS patients without prior diagnosis of CAD were divided into 2 groups: 1 with asymptomatic CAD detected through CTA and the other without. Multivariate logistic regression was used to identify independent risk factors associated with the presence of asymptomatic CAD, including aortic arch, cervical and intracranial atherosclerotic characteristics (e.g., vascular stenosis, plaque thickness, extent, and complexity). Among 182 AIS patients, 84 (46.2%) had asymptomatic CAD. Increased aortic arch plaque (AAP) thickness per millimeter [adjusted odds ratio (aOR): 1.26; 95% confidence interval (CI): 1.08-1.47], presence of severe AAP (aOR: 4.24; 95% CI: 1.59-12.03), mixed AAP (aOR: 2.65; 95% CI: 1.09-6.62), and ulcerative AAP (aOR: 11.76; 95% CI: 2.05-222.84) raised the risk of asymptomatic CAD in stroke patients, independent of other factors. The combination of ulcerative AAP, diabetes mellitus, and smoking could predict asymptomatic CAD with an area under the receiver operating characteristic curve (AUC) of 0.71 (95% CI: 0.64-0.79; P<0.001). Ulcerative AAP was found to be more valuable than cervicocephalic atherosclerotic characteristics for predicting asymptomatic CAD in first-ever AIS patients. The presence of ulcerative AAP was associated with asymptomatic CAD in first-ever AIS patients. As an early systemic atherosclerosis feature, ulcerative AAP is probably a more valuable indicator than cervicocephalic atherosclerotic characteristics for predicting asymptomatic CAD in AIS patients.

Association between high-resolution magnetic resonance vessel wall imaging characteristics and recurrent stroke in patients with intracranial atherosclerotic steno-occlusive disease: A prospective multicenter study.

High-resolution magnetic resonance vessel wall imaging (HRMR-VWI) is a promising technique for identifying intracranial vulnerable plaques beyond lumen narrowing. However, the association between HRMR-VWI characteristics and recurrent stroke remains uncertain. This study aimed to investigate the association between HRMR-VWI characteristics and recurrent ipsilateral stroke in patients with symptomatic intracranial atherosclerotic steno-occlusive disease (ICAS). This multicenter, observational study recruited first-ever acute ischemic stroke patients attributed to ICAS (>50% stenosis or occlusion) within 7 days after onset. Participants were assessed by multiparametric magnetic resonance imaging (MRI) including diffusion-weighted imaging, three-dimension time-of-flight magnetic resonance angiography, and three-dimensional T1-weighted HRMR-VWI. The patients were recommended to receive best medical therapy and were systematically followed up for 12 months. The association between HRMR-VWI characteristics and the time to recurrent ipsilateral stroke was investigated by univariable and multivariable analysis. Two hundred and fifty-five consecutive patients were enrolled from 15 centers. The cumulative 12 month ipsilateral recurrence incidence was 4.1% (95% confidence interval (CI): 1.6-6.6%). Patients with recurrent ipsilateral stroke exhibited higher rates of intraplaque hemorrhage (IPH) (30.0% vs 6.5%) and eccentric plaque (90.0% vs 48.2%), and lower occurrence of occlusive thrombus (10.0% vs 23.7%). Plaque length (5.69 ± 2.21 mm vs 6.67 ± 4.16 mm), plaque burden (78.40 ± 7.37% vs 78.22 ± 8.32%), degree of stenosis (60.25 ± 18.95% vs 67.50% ± 22.09%) and remodeling index (1.07 ± 0.27 vs 1.03 ± 0.35) on HRMR-VWI did not differ between patients with and without recurrent ipsilateral stroke. In the multivariable Cox regression analysis, IPH (hazard ratio: 6.64, 95% CI: 1.23-35.8, p = 0.028) was significantly associated with recurrent ipsilateral stroke after adjustment.Conclusions:Our results suggest intraplaque hemorrhage (IPH) is significantly associated with recurrent ipsilateral stroke and has potential value in the selection of patients for aggressive treatment strategies. Data from this study are available and can be accessed upon request.

Abstract 36: Association Between High-Resolution Magnetic Resonance Imaging Characteristics and Recurrent Stroke in Patients With Symptomatic Intracranial Atherosclerotic Steno-Occlusive Disease: A Prospective Multicenter Study

Background and Objectives: This study aimed to investigate the association between high-resolution magnetic resonance imaging (HR-MRI) characteristics and recurrent ipsilateral stroke in patients with symptomatic intracranial atherosclerotic steno-occlusive disease (ICAS). Methods: This multicenter, observational study recruited first-ever acute ischemic stroke patients attributed to ICAS (&gt;50% stenosis or occlusion) within 7 days after onset. Participants were assessed by multi-parametric MRI including diffusion-weighted imaging, three-dimension time-of-flight magnetic resonance angiography, and three-dimensional T1-weighted HR-MRI. The patients were recommended to receive best medical therapy and were systematically followed up for 12 months. The association between HR-MRI characteristics and the time to recurrent ipsilateral stroke was investigated by univariable and multivariable analysis. Results: Two hundred and fifty-five consecutive patients were enrolled from 15 centers. The cumulative 12-month ipsilateral recurrence incidence was 4.1% (95% confidence interval [CI]: 1.6-6.6%). The plaque length (5.69±2.21 mm vs. 6.67±4.16 mm), plaque burden (78.40±7.37% vs. 78.22±8.32%), degree of stenosis (60.25±18.95% vs. 67.50±22.09%) and remodeling index (1.07±0.27 vs. 1.03±0.35) on HR-MRI did not exhibit discernible difference between patients with and without recurrent ipsilateral stroke. Patients with recurrent ipsilateral stroke exhibited higher rates of intraplaque hemorrhage (IPH) (30.0% vs. 6.5%) and eccentric plaque (90.0% vs. 48.2%), and lower occurrence of occlusive thrombus (10.0% vs. 23.7%). In the multivariable Cox regression analysis, IPH (hazard ratio: 7.05, 95% CI: 1.53-32.41, p=0.012) was significantly associated with recurrent ipsilateral stroke after adjustment. Discussion: We found IPH is significantly associated with recurrent ipsilateral stroke. Our results suggest IPH has potential value in the selection of patients for aggressive treatment strategies.

Association of covert brain infarct phenotype with stroke recurrence in first-ever manifest ischemic stroke according to etiology.

Covert brain infarcts (CBI) are frequent incidental findings on MRI and associated with future stroke risk in patients without a history of clinically evident cerebrovascular events. However, the prognostic value of CBI in first-ever ischemic stroke patients is unclear and previous studies did not report on different etiological stroke subtypes. We aimed to test CBI phenotypes and their association with stroke recurrence in first-ever ischemic stroke patients according to stroke etiology. This study is a pooled data analysis of two prospectively collected cohorts of consecutive first-ever ischemic stroke patients admitted to the comprehensive stroke centers of Bern (Switzerland) and Graz (Austria). CBI phenotypes were identified on brain MRI within 72 h after admission. All patients underwent a routine follow-up (median: 12 months) to identify stroke recurrence. Of 1577 consecutive ischemic stroke patients (median age: 71 years), 691 patients showed CBI on brain MRI (44%) and 88 patients had a recurrent ischemic stroke (6%). Baseline CBI were associated with stroke recurrence in multivariable analysis (HR 1.9, 95% CI 1.1-3.3). CBI phenotypes with the highest risk for stroke recurrence were cavitatory CBI in small vessel disease (SVD)-related stroke (HR 7.1, 95% CI 1.6-12.6) and cortical CBI in patients with atrial fibrillation (HR 3.0, 95% CI 1.1-8.1). This study reports a ≈ 2-fold increased risk for stroke recurrence in first-ever ischemic stroke patients with CBI. The risk of recurrent stroke was highest in patients with cavitatory CBI in SVD-related stroke and cortical CBI in patients with atrial fibrillation.Subject terms: Covert brain infarcts, stroke.

Disconnection-Based Prediction of Poststroke Dysphagia.

Dysphagia is a common deficit after a stroke and is associated with serious complications. It is not yet fully clear which brain regions are directly related to swallowing. Previous lesion symptom mapping studies may have overlooked structural disconnections that could be responsible for poststroke dysphagia. Here, we aimed to predict and explain the relationship between poststroke dysphagia and the topologic distribution of structural disconnection via a multivariate predictive framework. We enrolled first-ever ischemic stroke patients classified as full per-oral nutrition (71 patients) and nonoral nutrition necessary (43 patients). After propensity score matching, 43 patients for each group were enrolled (full per-oral nutrition group with 17 women, 68 ± 15 years; nonoral nutrition necessary group with 13 women, 75 ± 11 years). The structural disconnectome was estimated by using the lesion segmented from acute phase diffusion-weighted images. The prediction of poststroke dysphagia by using the structural disconnectome and demographics was performed in a leave-one-out manner. Using both direct and indirect disconnection matrices of the motor network, the disconnectome-based prediction model could predict poststroke dysphagia above the level of chance (accuracy = 68.6%, permutation P = .001). When combined with demographic data, the classification accuracy reached 72.1%. The edges connecting the right insula and left motor strip were the most informative in prediction. Poststroke dysphagia could be predicted by using the structural disconnectome derived from acute phase diffusion-weighted images. Specifically, the direct and indirect disconnection within the motor network was the most informative in predicting poststroke dysphagia.

Associations of C-reactive protein with depressive symptoms over time after mild to moderate ischemic stroke in the PROSCIS-B cohort

Background and purposeC-reactive protein serves as a marker of inflammation and is linked to depression in the general population. We aimed to assess whether elevated baseline levels of high-sensitivity C-reactive protein (hs-CRP) are associated with depressive symptoms over time in a prospective cohort of mild-to-moderate first-ever ischemic stroke patients.MethodsData were obtained from the Prospective Cohort with Incident Stroke Berlin (NCT01363856). Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D) at three annual follow-up points. We assessed the association of elevated levels of hs-CRP with CES-D scores over time via linear mixed models. In a subgroup analysis, we explored an interaction effect with sex.ResultsWe included 585 ischemic stroke patients with baseline data on CRP levels. The mean age was 67 (13 SD), 39% (n = 226) were female, and the median National Institutes of Health Stroke Scale (NIHSS) was 3 (IQR 1–4). Twenty percent of survivors showed evidence for depressive symptoms one year after stroke with CES-D ≥ 16, 21% at year two, and 17% at year three. Higher log-transformed baseline hs-CRP levels were associated with higher CES-D Scores over time in the adjusted linear mixed model (β = 1.28; (95% CI 0.22–2.34)). The subgroup analysis revealed an interaction effect of hs-CRP on depressive symptoms in women (β = 2.33; (95% CI 0.71–3.95)).ConclusionIn our cohort with mild-to-moderate first-ever ischemic stroke patients, hs-CRP levels were associated with more depressive symptoms over time, with an interaction effect for the female sex.Study registrationhttps://clinicaltrials.gov; Unique identifier: NCT01363856.

Increased brain activation and functional connectivity after working memory training in patients with ischemic stroke: an fMRI study

ObjectiveWorking memory (WM) impairment is common in patients after a stroke. WM training (WMT) has been suggested as a way to improve cognitive function. However, the neural effects following WMT in stroke patients remain largely unclear. This study aimed to explore the behavioral changes and neural effects of WMT on patients with chronic ischemic stroke.MethodsFifty first-ever ischemic stroke patients with WM deficits in the chronic stage were randomly assigned to either a 4-week WMT group or a control group. Verbal n-back, digital and spatial memory-span, Raven's standard progressive matrices, and the Stroop color-word test, as well as task-state and resting-state fMRI were assessed for all patients at baseline and after the intervention.ResultsThe WMT group showed improvements in WM, fluid intelligence, and attention after training. Additionally, the WMT group exhibited increased activation in the left middle frontal gyrus (MFG) and middle occipital gyrus after training. At baseline, all patients were impaired in their abilities to elevate activation in their WM network as a response to increasing WM load. However, in the WMT group, increased activation was observed in the left cerebellum anterior lobe, right cerebellum posterior lobe (CPL), and MFG in the 2-back vs. 1-back contrast after WMT. We also found increased functional connectivity between the left MFG and the left inferior parietal lobule (IPL), and between the bilateral IPL and the right CPL after training in the WMT group.ConclusionOur study supported that WMT potentially improved WM capacity in ischemic stroke patients during the chronic stage, and that the training effects might transfer to fluid intelligence and attention ability. Our results also demonstrated that repeated WMT potentially increased brain activation and resting-state functional connectivity within the WM network in patients with ischemic stroke. These findings provided robust evidence to support WMT as an effective intervention to enhance cognitive rehabilitation and shed light on the functional neuroplasticity mechanism of WMT on cognitive recovery after ischemic stroke.

Risk factors for stroke recurrence in young patients with first-ever ischemic stroke: A meta-analysis.

At present, the incidence rate of ischemic stroke in young people is increasing yearly, and the age of onset is increasingly young. Therefore, primary and secondary prevention of ischemic stroke in young people, especially secondary prevention, is particularly crucial. We aimed to comprehensively evaluate risk factors for stroke recurrence in first-ever young ischemic stroke (YIS) patients. The meta-analysis was used to quantitatively analyze the research results on risk factors for stroke recurrence in first-ever YIS patients both domestically and internationally. Stata12.0 software was used for heterogeneity testing, publication bias analysis, sensitivity analysis, and the calculation of combined odds ratios and 95% confidence intervals. The odds ratio (OR) values of the relationship between hypertension and hyperlipidemia and recurrence of first-ever YIS were 1.54 (1.05-2.26) and 1.12 (1.00-1.25), respectively. The OR values of male sex, type 2 diabetes, smoking, drinking and YIS recurrence were 1.66 (0.98-2.79), 1.01 (0.64-1.59), 1.21 (0.83-1.76), and 1.28 (0.82-2.53), respectively. The relationship between male sex, type 2 diabetes, smoking, drinking and YIS recurrence was ambiguous. Hypertension and hyperlipidemia are important risk factors for stroke recurrence in first-ever YIS patients, and active intervention should be taken.

A typology of cerebral small vessel disease based on imaging markers

BackgroundLacunes, microbleeds, enlarged perivascular spaces (EPVS), and white matter hyperintensities (WMH) are brain imaging features of cerebral small vessel disease (SVD). Based on these imaging markers, we aimed to identify subtypes of SVD and to evaluate the validity of these markers as part of clinical ratings and as biomarkers for stroke outcome.MethodsIn a cross-sectional study, we examined 1207 first-ever anterior circulation ischemic stroke patients (mean age 69.1 ± 15.4 years; mean NIHSS 5.3 ± 6.8). On acute stroke MRI, we assessed the numbers of lacunes and microbleeds and rated EPVS and deep and periventricular WMH. We used unsupervised learning to cluster patients based on these variables.ResultsWe identified five clusters, of which the last three appeared to represent distinct late stages of SVD. The two largest clusters had no to only mild or moderate WMH and EPVS, respectively, and favorable stroke outcome. The third cluster was characterized by the largest number of lacunes and a likewise favorable outcome. The fourth cluster had the highest age, most pronounced WMH, and poor outcome. Showing the worst outcome, the fifth cluster presented pronounced microbleeds and the most severe SVD burden.ConclusionThe study confirmed the existence of different SVD types with different relationships to stroke outcome. EPVS and WMH were identified as imaging features of presumably early progression. The number of microbleeds and WMH severity appear to be promising biomarkers for distinguishing clinical subgroups. Further understanding of SVD progression might require consideration of refined SVD features, e.g., for EPVS and type of lacunes.

Association between post-stroke smoking and stroke recurrence in first-ever ischemic stroke survivors: based on a 10-year prospective cohort.

Whether smoking is a risk factor for ischemic stroke (IS) recurrence in IS survivors is still uncovered, and evidences are sparse. Meanwhile, an add-on effect of clopidogrel was observed in myocardial infarction patients who smoked, but whether the paradox exists in IS patients is still unsolved. The objectives of this study are to explore the association between smoking behavior after index stroke and IS recurrence and to explore whether the paradox exists. A prospective cohort of first-ever IS patients was conducted between 2010 and 2019. The prognosis and smoking features of enrolled patients were obtained via telephone follow-up every 3 months. Fine-gray model with interaction terms was applied to measure the relationships between stroke recurrence and smoking behaviors after index stroke and to explore the add-on effect of clopidogrel in smoking patients. There were 171 (24.26%) recurrences and 129 (18.30%) deaths during follow-up in 705 enrolled IS patients. One hundred forty-six (20.71%) patients smoked after index stroke. The hazard ratios (HRs) and 95% confidence intervals (CIs) of interaction terms between antiplatelet drug and follow-up smoking (smoking status and daily smoking amount) were 1.092 (95% CI: 0.524, 2.276) and 0.985 (95% CI: 0.941, 1.031), respectively. A significantly higher risk of recurrence was observed in patients with a higher daily smoking amount during follow-up (per cigarette), with HR being 1.027 (95% CI: 1.003, 1.052). Smoking could elevate the risk of IS recurrence, and IS survivor should be advised to quit or smoke less. Add-on effect of clopidogrel may not exist in smoking strokers taking clopidogrel.

Association Between Serum Vitamin D Levels and Physical Outcomes of Patients Who Underwent Rehabilitation Following Ischemic Stroke.

BACKGROUND Ischemic stroke is the most common cause of disability in adults. Deficiency of vitamin D in patients with cardiovascular diseases is increasing. Only a few studies have assessed the relationship between serum vitamin D levels and functional capacity and degree of disability. This study aimed to evaluate the association between serum vitamin D levels and physical outcomes of 94 patients who underwent physical rehabilitation following ischemic stroke. MATERIAL AND METHODS A group of 94 patients was enrolled; however, 80 patients (61.8±6.9 years) were included. They underwent a 6-week rehabilitation using proprioceptive neuromuscular facilitation (PNF, 60 min daily), mirror therapy (MT, 30 min daily), and occupational therapy (OT, 45 min daily). The Barthel Index (BI) and modified Rankin scale (mRS) were used for functional assessments. Laboratory blood tests for serum vitamin D and insulin-like growth factor 1 (IGF-1) levels were conducted. RESULTS There was a significant increase in BI scores (median difference=2.0 points [pts]; P<0.001) and IGF levels (median difference=124.6 ng/ml; P<0.001) after rehabilitation. There was a significant decrease in mRS scores (median difference=7.0 pts; P<0.001), but there was no significant difference in vitamin D levels (P=0.40). The effect of age (B=-0.01, P=0.04) and serum vitamin D level (B=-0.02, P=0.01) on the BI score was demonstrated. The effect of body mass index (BMI) results (B=-0.07, P=0.02) on the mRS score was observed. CONCLUSIONS Lower serum vitamin D levels and more advanced age may be associated with worse functional outcomes in first-ever ischemic stroke patients.

The Frequency of CYP2C19 Loss-of-Function Variants in Patients with Non-Cardioembolic Ischemic Stroke or Transient Ischemic Attack in the Dutch Population

Introduction: The CYP2C19 enzyme converts clopidogrel into an active metabolite. Carriers of CYP2C19 loss-of-function (LOF) variants with a history of ischemic stroke or transient ischemic attack (TIA) using clopidogrel may have a higher risk of recurrent stroke. To study the implications of genetic CYP2C19 heterogeneity in treatment of cerebral ischemia, knowledge about the prevalence of CYP2C19 LOF variants within the population is important. We investigated the frequency of CYP2C19 LOF variants in patients with non-cardioembolic ischemic stroke or TIA in the Dutch population. Methods: We performed a single-center observational study with a cross-sectional design in a Dutch thrombectomy-capable stroke center. We included all patients presenting with non-cardioembolic ischemic stroke or TIA. We determined the frequency of CYP2C19 LOF variants in the full cohort. Additionally, we compared the frequency of CYP2C19 LOF variants in two subgroups: patients with first-ever non-cardioembolic ischemic stroke or TIA versus patients with recurrent ischemic stroke or TIA using clopidogrel because of a history of ischemic stroke or TIA. Results: We enrolled 410 patients between January 1, 2021, and July 1, 2021. 109 (26.6%) patients were carriers of CYP2C19 LOF variants. We found no difference in the frequency of CYP2C19 LOF variants between patients with first-ever ischemic stroke or TIA versus patients with recurrent ischemic stroke or TIA using clopidogrel (25.9 vs. 31.9%, respectively, p = 0.31). Discussion and Conclusion: About a quarter of patients with non-cardioembolic ischemic stroke or TIA in the Dutch population carry a CYP2C19 LOF variant. This is lower than estimates found in studies with Asian populations but similar to estimates found among Caucasian patients in other parts of the world.

Machine learning-based prediction of clinical outcomes after first-ever ischemic stroke.

Accurate prediction of clinical outcomes in individual patients following acute stroke is vital for healthcare providers to optimize treatment strategies and plan further patient care. Here, we use advanced machine learning (ML) techniques to systematically compare the prediction of functional recovery, cognitive function, depression, and mortality of first-ever ischemic stroke patients and to identify the leading prognostic factors. We predicted clinical outcomes for 307 patients (151 females, 156 males; 68 ± 14 years) from the PROSpective Cohort with Incident Stroke Berlin study using 43 baseline features. Outcomes included modified Rankin Scale (mRS), Barthel Index (BI), Mini-Mental State Examination (MMSE), Modified Telephone Interview for Cognitive Status (TICS-M), Center for Epidemiologic Studies Depression Scale (CES-D) and survival. The ML models included a Support Vector Machine with a linear kernel and a radial basis function kernel as well as a Gradient Boosting Classifier based on repeated 5-fold nested cross-validation. The leading prognostic features were identified using Shapley additive explanations. The ML models achieved significant prediction performance for mRS at patient discharge and after 1 year, BI and MMSE at patient discharge, TICS-M after 1 and 3 years and CES-D after 1 year. Additionally, we showed that National Institutes of Health Stroke Scale (NIHSS) was the top predictor for most functional recovery outcomes as well as education for cognitive function and depression. Our machine learning analysis successfully demonstrated the ability to predict clinical outcomes after first-ever ischemic stroke and identified the leading prognostic factors that contribute to this prediction.

Independent Predictive Value of Elevated YKL-40 in Ischemic Stroke Prognosis: Findings from a Nationwide Stroke Registry

Introduction: Elevated circulatory concentrations of YKL-40 have been reported in patients with ischemic stroke. This study further investigated the association of plasma YKL-40 concentrations at admission and short, long-term prognosis after ischemic stroke. Methods: Based on a prospective, nationwide multicenter registry focusing consecutive patients of ischemic stroke and transient ischemic attack, plasma YKL-40 levels were detected by enzyme-linked immunosorbent assay at admission, and patients were stratified into percentile according to the plasma YKL-40 concentrations. The multivariate Cox or logistic regression model was used to investigate the association of YKL-40 concentration with death and functional outcomes at 3 months, 6 months, and 12 months after ischemic stroke, with potential confounders adjusted. Results: A total of 8,006 first-ever ischemic stroke patients, with the age of 61.7 ± 11.5, were included in this study. The mortality of 0–33%, 34–66%, 67–90%, and 91–100% groups at 12 months follow-up was 0.9%, 2.2%, 4.4%, and 9.4%, respectively (p < 0.0001), and the modified Rankin Scale 3–6 ratio was 6.8%, 10.5%, 15.7%, and 24.0%, respectively (p < 0.0001). In the multivariate regression, after adjusting for potential confounders, 91–100% group had higher risk of death (hazard ratio 2.99, 95% confidence interval 1.75–5.11)and modified Rankin Scale 3–6 (odds ratio 1.42, 95% confidence interval 1.08–1.88) at 12 months since onset of ischemic stroke compared to the 0–33% group. Conclusions: The elevated YKL-40 at admission can potentially help predict death, functional prognosis after ischemic stroke, which may help further studies to explore the potential physiological and pathological mechanism including the effects of vulnerable plaque and collateral circulation.

Metabolic Profile as a Predictor of Ischaemic Stroke: The Experience of a Rural Hospital in Nigeria

BACKGROUNDThe metabolic profile which includes glycated haemoglobin, insulin resistance, pancreatic beta cell function and lipid profile is frequently deranged in acute ischaemic stroke. Stroke is a leading cause of death worldwide and an emerging cause of long-term disability and mortality in Africa. Our study aimed to determine the correlation between the metabolic profile and acute ischaemic stroke in a rural Hospital in Southern Nigeria.METHODOLOGYThis was a prospective cross-sectional study. Fifty consecutive first-ever ischaemic stroke patients presenting within 72 hours of stroke were matched for age and sex with 3 control groups (49 persons with type 2 diabetes and hypertension, 49 persons with hypertension only and 57 apparently healthy individuals). Blood samples were obtained from all participants to determine glycated haemoglobin, fasting lipid profile, fasting plasma glucose, fasting insulin and C-peptide and random plasma glucose (in stroke cases at presentation). Insulin resistance and pancreatic beta-cell function were determined using the Homeostatic Model Assessment (HOMA). Data were analysed by multivariate and univariate statistics.RESULTSOne hundred and two (49.8%) males and 103 (50.2%) females participated in the study. The overall mean age of the study participants was 61.6 ± 10.1 years. Compared with the control groups, predictors of acute ischaemic stroke were Fasting insulin (hyperinsulinaemia) [OR (95%CI) = 1.108 (1.043-1.178), p= 0.001], HOMA-β% [OR (95%CI) = 0.994 (0.990-1.001) p=0.006] and total cholesterol [OR (95%CI)= 0.009 (0.001-0.012) p=0.022].CONCLUSIONIn this study, hyperinsulinaemia, impaired beta-cell secretory function (HOMA-β) and elevated total cholesterol were found to be significant risk factors of ischaemic stroke. Hence, the need for regular screening to detect abnormal metabolic profiles and prompt treatment.

Incidence of post-stroke cognitive impairment in patients with first-ever ischemic stroke: a multicenter cross-sectional study in China

Post-stroke cognitive impairment (PSCI) is a common sequela after stroke. China has a large population of stroke survivors, but a large-scale survey on the incidence and risk factors for PSCI has not been undertaken. We aimed to calculate the incidence and risk factors for vascular cognitive symptoms among first-ever stroke survivors in China through a multicenter cross-sectional study. From May 1, 2019 to November 30, 2019, patients with a clinical diagnosis of first-ever ischemic stroke were recruited from 563 hospitalized-based stroke center networks in 30 provinces of China. Cognitive impairment was measured by 5-min National Institute of Neurological Disease and Stroke-Canadian Stroke Network (NINDS-CSN) at 3-6 months after the indexed stroke. Stepwise multivariate regression and stratified analysis were performed to assess the association between PSCI and demographic variables. A total of 24,055 first-ever ischemic stroke patients were enrolled, with an average age of 70.25±9.88 years. The incidence of PSCI as per the 5-min NINDS-CSN was 78.7%. Age ≥75 years old (OR: 1.887, 95%CI: 1.391-2.559), western regional residence (OR: 1.620, 95%CI: 1.411-1.860) and lower education level were associated with increased PSCI risk. Hypertension might be related to non-PSCI (OR: 0.832, 95%CI: 0.779-0.888). For patients under 45 years old, unemployment was an independent risk factor for PSCI (OR: 6.097, 95%CI: 1.385-26.830). For patients who were residents of the southern region (OR: 1.490, 95%CI: 1.185-1.873) and non-manual workers (OR: 2.122, 95%CI: 1.188-3.792), diabetes was related to PSCI. PSCI is common in Chinese patients with first-ever stroke, and many risk factors are related to the occurrence of PSCI. The Beijing Hospitals Authority Youth Program (No. QMS20200801); Youth Program of the National Natural Science Foundation of China (No. 81801142); the Key Project of Science and Technology Development of China Railway Corporation (No. K2019Z005); The Capital Health Research and Development of Special (No. 2020-2-2014); Science and Technology Innovation 2030-Major Project (No. 2021ZD0201806).

Stroke lesion size – Still a useful biomarker for stroke severity and outcome in times of high-dimensional models

BackgroundThe volumetric size of a brain lesion is a frequently used stroke biomarker. It stands out among most imaging biomarkers for being a one-dimensional variable that is applicable in simple statistical models. In times of machine learning algorithms, the question arises of whether such a simple variable is still useful, or whether high-dimensional models on spatial lesion information are superior. MethodsWe included 753 first-ever anterior circulation ischemic stroke patients (age 68.4±15.2 years; NIHSS at 24 h 4.4±5.1; modified Rankin Scale (mRS) at 3-months median[IQR] 1[0.75;3]) and traced lesions on diffusion-weighted MRI. In an out-of-sample model validation scheme, we predicted stroke severity as measured by NIHSS 24 h and functional stroke outcome as measured by mRS at 3 months either from spatial lesion features or lesion size. ResultsFor stroke severity, the best regression model based on lesion size performed significantly above chance (p < 0.0001) with R2 = 0.322, but models with spatial lesion features performed significantly better with R2 = 0.363 (t(752) = 2.889; p = 0.004). For stroke outcome, the best classification model based on lesion size again performed significantly above chance (p < 0.0001) with an accuracy of 62.8%, which was not different from the best model with spatial lesion features (62.6%, p = 0.80). With smaller training data sets of only 150 or 50 patients, the performance of high-dimensional models with spatial lesion features decreased up to the point of being equivalent or even inferior to models trained on lesion size. The combination of lesion size and spatial lesion features in one model did not improve predictions. ConclusionsLesion size is a decent biomarker for stroke outcome and severity that is slightly inferior to spatial lesion features but is particularly suited in studies with small samples. When low-dimensional models are desired, lesion size provides a viable proxy biomarker for spatial lesion features, whereas high-precision prediction models in personalised prognostic medicine should operate with high-dimensional spatial imaging features in large samples.

Association of Chronic Covert Cerebral Infarctions and White Matter Hyperintensities With Atrial Fibrillation Detection on Post-Stroke Cardiac Rhythm Monitoring: A Cohort Study.

Background This study was conducted to explore the association of different phenotypes, count, and location of chronic covert brain infarctions (CBIs) with detection of atrial fibrillation (AF) on prolonged post-stroke cardiac rhythm monitoring (PCM). Methods and Results We conducted a cohort single-center study of consecutive first-ever ischemic stroke or transient ischemic attack patients undergoing PCM between January 2015 and December 2017. We blindly rated CBI phenotypes according to established definitions and white matter hyperintensities (WMHs) according to the age-related white matter changes rating scale. We used (multiple) regression models to assess the association of the imaging biomarkers and incident AF on PCM. A total of 795 patients (median [interquartile range]) aged 69 (57-78) years, 41% women, median National Institutes of Health Stroke Scale score 2 (0-5), median PCM duration 14 (7-14) days, and AF detection in 61 patients (7.7%) were included. On univariate analysis, WMHs (per point odds ratio, 1.35 [95% CI, 1.03-1.78]) but not CBIs (odds ratio, 0.90 [95% CI, 0.52-1.56]) were associated with AF detection. Neither CBI phenotype, count, nor location were associated with AF detection. After adjustment for age, hypertension, and stroke severity, neither increasing WMHs (per point adjusted odds ratio, 0.85 [95% CI, 0.60-1.20]) nor CBIs (adjusted odds ratio, 0.60 [95% CI, 0.33-1.09]) were independently associated with AF detection. Conclusions Although WMHs and CBIs represent surrogate biomarkers of vascular risk factors, neither WMHs nor CBIs, including their phenotypes, count, and location, were independently associated with AF detection on PCM. In patients with manifest ischemic stroke or transient ischemic attack, the presence of imaging biomarkers of chronic ischemic injury does not seem promising to further refine prediction tools for AF detection on PCM.

Perception of recurrent risk versus objective measured risk of ischemic stroke in first-ever stroke patients from a rural area in China: A cross-sectional study

ObjectiveRisk perception is critical to the formation of individual health prevention behaviors. A long-term accurate perception of stroke recurrent risks is imperative for stroke secondary prevention. This study aims to explore the level of recurrence risk perceptions and the influential factors of inaccuracy between perceived and objective risk in first-ever ischemic stroke patients from a rural area. MethodsFrom May to November 2020, 284 first-ever ischemic stroke patients were conveniently recruited in a rural area of Henan Province, China. Perceived risk was measured based on self-reported using a numerical rating scale, whereas the objective risk was measured by the Essen Stroke Risk Score. Patients' perceived risk was compared with their objective risk and categorized as “Accurate,” “Underestimated,” and “Overestimated.” The influencing factors of inaccuracy were further evaluated using multivariate regression analyses. Results46% of the participants underestimated their stroke risk, while 15.9% overestimated their risks. Patients who were younger (≤65 years), didn’t worry about recurrent stroke, and had a low actual recurrent risk were more likely to underestimate their recurrent risk. Patients who were employed, had lower independence, and had greater anxiety were more likely to overestimate their recurrent risk. ConclusionsThe majority of participants were unable to accurately perceive their own risk of stroke recurrence. Patients' age, working status, worry about recurrent stroke, actual recurrent risk, level of dependence, and anxiety played a role in perception inaccuracy. Practice implicationsThe findings could help healthcare providers gain a better understanding of the level and accuracy of recurrence risk perceptions among first-ever stroke patients in the rural area. Future counseling on the perceived risk of stroke recurrence and individual objective risk assessment could be conducted to help patients better understand their risk of recurrence. Individualized risk communication and multidisciplinary teamwork can be developed to improve the accuracy of recurrence risk perceptions and health behaviors.