First-ever Ischemic Stroke Research Articles

Comparison Between First-Ever Ischemic Stroke in Young Adults in 1988-1997 and 2008-2017.

To compare incidence of first-ever acute cerebral infarction, etiology and traditional risk factors in young adults 15-49 years in 1988-1997 and 2008-2017 in Hordaland County, Norway. Case-finding of young adults with acute cerebral infarction in 1988-1997 was done retrospectively by computer research from hospital registries in Hordaland County. Young adults with acute cerebral infarction living in the Bergen region in 2008-2017 were prospectively included in a database at Haukeland University Hospital. Traditional risk factors, etiology and modified Rankin scale score on discharge were registered. Crude average incidence of acute cerebral infarction was 11.4 per 100.000 per year in 1988-1997 and 13.2 per 100.000 per year in 2008-2017 (P=0.04). The prevalence of prior myocardial infarction, angina pectoris, and dyslipidemia were lower in the 2008-2017 cohort (all P<0.05). Atherosclerosis was less common in the 2008-2017 cohort (P<0.001). The observed incidence of acute cerebral infarction in young adults increased from 1988-1997 to 2008-2017 in Hordaland County. Atherosclerosis was less common in the 2008-2017 cohort.

Association of Stroke at Young Age With New Cancer in the Years After Stroke Among Patients in the Netherlands

Stroke may be a first manifestation of an occult cancer or may be an indicator of an increased cancer risk in later life. However, data, especially for younger adults, are limited. To assess the association of stroke with new cancer diagnoses after a first stroke, stratified by stroke subtype, age, and sex, and to compare this association with that in the general population. This registry- and population-based study included 390 398 patients in the Netherlands aged 15 years or older without a history of cancer and with a first-ever ischemic stroke or intracerebral hemorrhage (ICH) between January 1, 1998, and January 1, 2019. Patients and outcomes were identified through linkage of the Dutch Population Register, the Dutch National Hospital Discharge Register, and National Cause of Death Register. Reference data were gathered from the Dutch Cancer Registry. Statistical analysis was performed from January 6, 2021, to January 2, 2022. First-ever ischemic stroke or ICH. Patients were identified by administrative codes from the International Classification of Diseases, Ninth Revision, and the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. The primary outcome was the cumulative incidence of first-ever cancer after index stroke, stratified by stroke subtype, age, and sex, compared with age-, sex- and calendar year-matched peers from the general population. The study included 27 616 patients aged 15 to 49 years (median age, 44.5 years [IQR, 39.1-47.6 years]; 13 916 women [50.4%]; 22 622 [81.9%] with ischemic stroke) and 362 782 patients aged 50 years or older (median age, 75.8 years [IQR, 66.9-82.9 years]; 181 847 women [50.1%]; 307 739 [84.8%] with ischemic stroke). The cumulative incidence of new cancer at 10 years was 3.7% (95% CI, 3.4%-4.0%) among patients aged 15 to 49 years and 8.5% (95% CI, 8.4%-8.6%) among patients aged 50 years or older. The cumulative incidence of new cancer after any stroke among patients aged 15 to 49 years was higher among women than men (Gray test statistic, 22.2; P < .001), whereas among those aged 50 years or older, the cumulative incidence of new cancer after any stroke was higher among men (Gray test statistic, 943.1; P < .001). In the first year after stroke, compared with peers from the general population, patients aged 15 to 49 years were more likely to receive a diagnosis of a new cancer after ischemic stroke (standardized incidence ratio [SIR], 2.6 [95% CI, 2.2-3.1]) and ICH (SIR, 5.4 [95% CI, 3.8-7.3]). For patients aged 50 years or older, the SIR was 1.2 (95% CI, 1.2-1.2) after ischemic stroke and 1.2 (95% CI, 1.1-1.2) after ICH. This study suggests that, compared with the general population, patients aged 15 to 49 years who have had a stroke may have a 3- to 5-fold increased risk of cancer in the first year after stroke, whereas this risk is only slightly elevated for patients aged 50 years or older. Whether this finding has implications for screening remains to be investigated.

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.

Hypertension, cerebral Amyloid, aGe Associated Known neuroimaging markers of cerebral small vessel disease Undertaken with stroke REgistry (HAGAKURE) prospective cohort study: Baseline characteristics and association of cerebral small vessel disease with prognosis in an ischemic stroke cohort.

Cerebral small vessel disease (SVD) is one of the leading causes of stroke; each neuroimaging marker of SVD is correlated with vascular risk factors and associated with poor prognosis after stroke. However, longitudinal studies investigating the association between comprehensive SVD burden scoring system, "total SVD score" - which encompasses the established neuroimaging markers of lacunae, cerebral microbleeds (CMBs), white matter hyperintensities (WMH) including periventricular hyperintensities, and perivascular spaces in basal ganglia- and clinical outcomes are limited. The aim of this study is to determine the association between SVD burden and long-term prognosis in patients with ischemic stroke. This prospective, single-center, observational study enrolled patients with acute ischemic stroke, including cerebral infarction and transient ischemic attack. Magnetic resonance imaging scans were performed, and then total SVD score (range, 0-4) was calculated. We recorded baseline characteristics and evaluated the relationships of long-term outcomes to SVD neuroimaging markers and total SVD score. Stroke recurrence was thought as primary outcome. Hazard ratios (HRs) of events during follow-up were calculated using Cox proportional hazards modeling with adjustments for age, sex, hypertension, dyslipidemia, diabetes mellitus, atrial fibrillation, and smoking. Cumulative event rates were estimated using the Kaplan-Meier method. Consecutive 564 acute ischemic stroke patients were enrolled according to inclusion and exclusion criteria. A total of 467 participants with first-ever ischemic stroke were analyzed (median age 75.0 [interquartile range, 64.0-83.0] years, 59.3% male). Total SVD score was 0 point in 47 individuals (12.0%), 1 point in 83 (21.2%), 2 points in 103 (26.3%), 3 points in 85 (21.7%), and 4 points in 73 (18.7%). Twenty-eight recurrent stroke events were identified during follow-up. Total SVD score ≥ 2, presence of CMBs, and moderate-to-severe WMH were associated with increased risk of recurrent stroke events (HR 9.31, 95% confidence interval [CI] 2.33-64.23; HR 2.81, 95% CI 1.08-7.30; HR 2.90, 95% CI 1.22-6.88, respectively). The accumulation of SVD biomarkers as determined by total SVD score offered a reliable predictor of stroke recurrence. This study established a firm understanding of SVD prognosis in clinical settings.

Impact of prestroke physical activity and citalopram treatment on poststroke depressive symptoms: a secondary analysis of data from the TALOS randomised controlled trial in Denmark

ObjectivesTo investigate the association between prestroke physical activity and depressive symptoms up to 6 months after stroke and examine if citalopram treatment modified the association.DesignA secondary analysis of data from...

Effects of bihemispheric transcranial direct current stimulation on motor recovery in subacute stroke patients: a double-blind, randomized sham-controlled trial

BackgroundBihemispheric transcranial direct current stimulation (tDCS) of the primary motor cortex (M1) can simultaneously modulate bilateral corticospinal excitability and interhemispheric interaction. However, how tDCS affects subacute stroke recovery remains unclear. We investigated the effects of bihemispheric tDCS on motor recovery in subacute stroke patients.MethodsWe enrolled subacute inpatients who had first-ever ischemic stroke at subcortical regions and moderate-to-severe baseline Fugl-Meyer Assessment of Upper Extremity (FMA-UE) score 2–56. Participants between 14 and 28 days after stroke were double-blind, randomly assigned (1:1) to receive real (n = 13) or sham (n = 14) bihemispheric tDCS (with ipsilesional M1 anode and contralesional M1 cathode, 20 min, 2 mA) during task practice twice daily for 20 sessions in two weeks. Residual integrity of the ipsilesional corticospinal tract was stratified between groups. The primary efficacy outcome was the change in FMA-UE score from baseline (responder as an increase ≥ 10). The secondary measures included changes in the Action Research Arm Test (ARAT), FMA-Lower Extremity (FMA-LE) and explorative resting-state MRI functional connectivity (FC) of target regions after intervention and three months post-stroke.ResultsTwenty-seven participants completed the study without significant adverse effects. Nineteen patients (70%) had no recordable baseline motor-evoked potentials (MEP-negative) from the paretic forearm. Compared with the sham group, the real tDCS group showed enhanced improvement of FMA-UE after intervention (p < 0.01, effect size η2 = 0.211; responder rate: 77% vs. 36%, p = 0.031), which sustained three months post-stroke (p < 0.01), but not ARAT. Interestingly, in the MEP-negative subgroup analysis, the FMA-UE improvement remained but delayed. Additionally, the FMA-LE improvement after real tDCS was not significantly greater until three months post-stroke (p < 0.01). We found that the individual FMA-UE improvements after real tDCS were associated with bilateral intrahemispheric, rather than interhemispheric, FC strengths in the targeted cortices, while the improvements after sham tDCS were associated with predominantly ipsilesional FC changes after adjustment for age and sex (p < 0.01).ConclusionsBihemispheric tDCS during task-oriented training may facilitate motor recovery in subacute stroke patients, even with compromised corticospinal tract integrity. Further studies are warranted for tDCS efficacy and network-specific neuromodulation.Trial registration: This study is registered with ClinicalTrials.gov: (ID: NCT02731508).

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.

Association of Income with Post-Stroke Cognition and the Underlying Neuroanatomical Mechanism.

To investigate the association between income and post-stroke cognition at 3 months, and the underlying neuroanatomical mechanism. Patients with first-ever ischemic stroke were enrolled and analyzed. Baseline information on income and neuroimaging measurements with predictive values for post-stroke cognitive impairment (PSCI) were collected within 7 days of the admission. Three months after the index stroke, all participants underwent a detailed neuropsychological test battery. The associations between income and PSCI and between income and brain structural measurements were investigated. A total of 294 patients were recruited for this study. Lower income was independently associated with poor cognitive performance on Stroop tests, Clinical Dementia Rating, Boston Naming Test, and Verbal Fluency Test. Regarding neuroimaging parameters, lower income was associated with a lower total brain volume (TBV)/total intracranial volume (TICV) ratio (p = 0.004). Lower income is associated with an increased chance of post-stroke cognitive decline, particularly in executive function and language domains. Since global brain atrophy (measured by TBV/TICV ratio) is a strong predictor for PSCI, its correlation with income may help explain the neuroanatomical mechanism between income and post-stroke cognition.

Changes in White Matter Microstructure Over 3 Years in People With and Without Stroke.

Cerebral white matter health can be estimated by MRI-derived indices of microstructure. White matter dysfunction is increasingly recognized as a contributor to neurodegenerative disorders affecting cognition and to functional outcomes after stroke. Reduced indices of white matter microstructure have been demonstrated cross-sectionally in stroke survivors compared with stroke-free participants, but longitudinal changes in the structure of white matter after stroke remain largely unexplored. We aimed to characterize white matter micro- and macrostructure over 3 years after stroke and study associations with white matter metrics and cognitive functions. Patients with first-ever or recurrent ischemic stroke of any etiology in any vascular territory were compared with stroke-free age- and sex-matched controls. Those diagnosed with hemorrhagic stroke, TIA, venous infarction, or significant medical comorbidities, psychiatric and neurodegenerative disorders, substance abuse, or history of dementia were excluded. Diffusion-weighted MRI data at 3, 12, and 36 months were analyzed using a longitudinal fixel-based analysis, sensitive to fiber tract-specific differences within a voxel. It was used to examine whole-brain white matter degeneration in stroke compared with control participants. We studied microstructural differences in fiber density and macrostructural changes in fiber-bundle cross-section, in relation to cognitive performance. Analyses were performed controlling for age, intracranial volume, and education (family-wise error-corrected p < 0.05, nonparametric testing over 5,000 permutations). We included 71 participants with stroke (age 66 ± 12 years, 22 women) and 36 controls (age 69 ± 5 years, 13 women). We observed extensive white matter structural degeneration across the whole brain, particularly affecting the thalamic, cerebellar, striatal, and superior longitudinal tracts and corpus callosum. Importantly, follow-up regression analyses in 72 predefined tracts showed that the decline in fiber density and cross-section from 3 months to 3 years was associated with worse cognitive performance at 3 years after stroke, especially affecting visuospatial processing, processing speed, language, and recognition memory. We conclude that white matter neurodegeneration in ipsi- and contralesional thalamic, striatal, and cerebellar tracts continues to be greater in stroke survivors compared with stroke-free controls. White matter degeneration persists even years after stroke and is associated with poststroke cognitive impairment. ClinicalTrails.gov NCT02205424.

Abstract TP105: Intra-individual Blood Pressure Variability For The Duration Of Hospitalization And Subsequent Clinical Outcome After First-ever Ischemic Stroke

Background: The association of in-hospital blood pressure variability (BPV) with readmission or survival after acute ischemic stroke (AIS) have not been fully investigated. We evaluated the relationship between intra-individual systolic blood pressure (SBP) variability (SBPV) for the duration of hospitalization, mean SBP, maximal SBP reached and readmission-free survival, all-cause readmission, or all-cause mortality to one year after hospitalization for a new acute ischemic stroke (AIS). Methods: We measured mean SBP, maximal SBP reached, and SBPV as quartiles of standard deviations (SD) and coefficient of variation (CV) across a median of 16 SBP readings per patient, every 4 hours, for the duration of hospitalization in 862 patients (age (mean±SD) 75±15 years, 55% females) with AIS admitted from 2003 to 2018, followed-up to 2019. Results: At 1 year, readmission-free survival was 51%, readmission rate was 39%, and mortality was16%. The mean ± SD in mmHg for SBP 146±20, maximal SBP reached 163±26, SD 16±6, and CV 10±5. Adjusted hazard ratios for the highest vs. lowest quartiles of SD or CV were 1.44 (95% confidence interval 1.04 - 1.81) or 1.29 (0.94 - 1.64) for readmission-free survival; 1.29 (0.9 - 1.78) or 1.29 (0.94 - 1.78) for readmission; 1.15 (0.71 - 1.87) or 0.86 (0.55 - 1.36) for mortality. The results remained consistent with mean SBP. However, maximal SBP was inversely associate with readmission-free survival. The accompanying figure shows Kaplan-Meier survival analysis of cumulative incidence of three outcomes by quartiles of SD (upper panel) and CV (lower panel) of SBP. Conculsions: Among patients hospitalized with a new AIS, higher in-hospital SBPV was associated with no decrease in readmission-free survival or increase in rates of readmission or mortality to 1 year. We recommend less emphasis on treating blood pressure and more focus on guideline-directed high-value care for the management AIS patients.

Abstract WMP16: Understanding The Experience Of Fatigue Poststroke: Preliminary Results From A Mixed-methods Longitudinal Study

Introduction: The first 6 months poststroke is an important period for stroke survivors to regain physical function but fatigue may affect recovery. The challenges faced regarding fatigue level and physical function in the first 6 months poststroke remains unknown. Stroke survivors have reported that carepartners play an important role in their recovery but the specific support by carepartners is not well-addressed in the literature. Methods: Our ongoing longitudinal cohort study uses concurrent mixed-methods to determine the interrelationship between how stroke survivors adapt to and experience changes in fatigue and recovery of physical function during the index hospitalization, 1, 3, and 6 months poststroke. Thirty stroke survivors with first-ever ischemic stroke and 10 of their carepartners will be enrolled. In the quantitative arm of the study, 30 stroke survivors are asked about fatigue levels (Fatigue Severity Scale [FSS]) and physical function (Stroke Impact Scale-16 [SIS-16]) at 4 time points. The qualitative arm explores stroke survivors’ (n=10 of 30) and carepartners’ perspectives about adaptation to poststroke fatigue at the same time points. Matrices are being used to depict longitudinal adaptation (i.e., how stroke survivors’ adaptive strategies vary across the fatigue levels and physical function during the index hospitalization, 1, 3, and 6 months poststroke). We anticipate completing enrollment by October 2022. Results: To date, 17 stroke survivors (mean age 63±15.5 years; 47.1% female; 29.4% Black with a mean NIHSS score of 4.9±4.1) and 7 carepartners have been enrolled. The mean FSS score at baseline (before the index stroke; n= 17) is 36.3±14.1 and 35.0±14.1 (n=11) at 1-month poststroke. The mean SIS-16 score at baseline (n= 17) is 70.6±9.7 and 55.9±20.2 (n=11) at 1-month poststroke. Conclusions: To date, we have enrolled a racially, ethnically, and gender diverse sample of stroke survivors who reported mild-moderate fatigue which persisted beyond hospital discharge at 1 month. While functional status improved at 1 month for stroke survivors, it has not returned to their baseline. Our findings will increase knowledge about longitudinal changes in early fatigue and physical-function recovery among stroke survivors.

Abstract 82: Sex Differences In Recurrent Stroke: Twenty-Year Trends From A Population-Based Study

The growing number of stroke survivors in the US, especially among women, makes understanding sex-specific trends in recurrent strokes crucial. Yet, such data are rare. We estimated 20-year sex-specific trends in recurrence in a population-based stroke study. Methods: We included first-ever ischemic strokes (IS) ascertained between January 1, 2000 and December 31, 2019 from the Brain Attack Surveillance in Corpus Christi (BASIC) Project in South Texas. Time to recurrence was calculated from first-ever IS to recurrence, death, or December 31, 2019, whichever came first. We estimated the cumulative incidence function (CIF) of recurrence by a multivariable Fine-Gray subdistribution hazard model, which accounted for the competing risk of death. An interaction term between calendar year and sex was used to generate 1-year and 5-year sex-specific trends in risks of recurrence between 2000-2019 from the fitted CIF. Results: Among the 5,752 IS (median age 69, 49.9% women), 786 (13.7%) had recurrences over a median of 7.6 years of follow-up and 2,653 (46.1%) died over a median of 3.7 years of follow-up. Women had significantly higher adjusted 1-year and 5-year risks of recurrence than men in 2000 (Figure). One-year and 5-year risk of recurrence declined in both sexes over time but women experienced larger declines such that the risks were similar between both sexes around 2009 but higher among men after that. The largest sex difference in recurrence was in the 5-year risk in 2000 with women having 5.0% (1.5%-8.4%) higher risk. Conclusions: The welcoming trends in recurrent strokes suggest successful secondary stroke prevention, especially in women, where greater declines were noted.

Abstract WMP50: Lesion-symptom Mapping For Post-stroke Depression

Background: Post-stroke depression poses an important challenge for patients and delays reintegration to societal roles. Earlier identification of patients at higher risk for depression based on clinical imaging would allow a tailored treatment approach. Methods: We conducted machine-learning based lesion-symptom mapping (LSM) using a retrospective cohort of 477 patients with first-ever acute ischemic stroke (AIS) presenting to a large cerebrovascular center from 2013-2019 with mild motor impairment defined by mRS 0-2. Patient Health Questionnaire (PHQ-9) depression scale was collected within 60 days of index stroke. The location and volume of AIS lesions on brain MRI were analyzed using a machine-learning based algorithm coupled with the FreeSurfer parcellation package. LSM after random field theory-based multiple comparison correction was conducted to examine the association of AIS location and volume with PHQ-9 scale, adjusting for patient age, sex and NIHSS. Results: AIS in the right temporal, parietal, occipital lobes and the right basal ganglia were associated with depressive symptoms (Figure A). Sensitivity analysis excluding those with significant sleep disturbance (n=24) demonstrated that strokes in the right frontal and parietal lobes were associated with severe depression measured by PHQ-9&gt;10 (Figure B). Conclusions: This hypothesis generating study was suggestive of a neuroanatomic basis for the development of post-stroke depression. Further studies in a larger dataset are needed to confirm these associations. The methods will help to predict those patients at higher risk for post-stroke depression, allowing for earlier intervention and recovery.

The association between liver fibrosis and depression in patients after ischemic stroke

Background and objectiveLiver fibrosis has been considered a predictor of cardiovascular disease. This study aimed to evaluate whether the degree of liver fibrosis is related to post-stroke depression (PSD) at 3 months follow-up.MethodsWe prospectively and continuously enrolled patients with first-ever ischemic stroke from June 2020 to January 2022. Liver fibrosis was measured after admission by calculating the Fibrosis-4 index (FIB-4) and stratified into two categories (< 2.67 versus ≥ 2.67). Patients with a 17-item Hamilton Depression Scale score > 7 were further evaluated using the Chinese version of the structured clinical interview of DSM-IV, for diagnosing PSD at 3 months.ResultsA total of 326 patients (mean age 66.6 years, 51.5% male) were recruited for the study. As determined by the FIB-4 score, 80 (24.5%) patients had advanced liver fibrosis. During the follow-up, PSD was observed in 91 patients, which accounted for 27.9% (95% confidence interval [CI] 25.5%–30.5%) of the cohort.The prevalence of advanced liver fibrosis was higher in PSD patients than those without PSD (40.0% versus 24.0%; P = 0.006). After adjustment for covariates in the multivariate logistic analysis, advanced fibrosis was significantly associated with PSD (odds ratio [OR], 1.88; 95% CI, 1.03–3.42; P = 0.040). Similar results were found when the FIB-4 was analyzed as a continuous variable.ConclusionsThis study found that advanced liver fibrosis was associated with an increased risk of 3-month PSD. FIB-4 score may be valuable for screening depressive symptoms in ischemic stroke patients.

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.

Assessment of Changes in Serum C-Reactive Protein Levels in Patients after Ischemic Stroke Undergoing Rehabilitation-A Retrospective Observational Study.

Inflammation plays a key role in the pathogenesis and prognosis of ischemic stroke. C-reactive protein (CRP) is an inflammatory biomarker of inflammation and may reflect the progression of vascular disease. Using a biomarker such as CRP to predict recovery rather than mortality may present clinical value in providing rehabilitation. The primary aim of the study was to analyze changes in serum CRP levels in patients after ischemic stroke during the regenerative-compensatory period and to assess the usefulness of CRP as a potential biomarker during the rehabilitation period. The project was carried out as a retrospective analysis of prospectively collected data from post-stroke patients from the Department of Neurological Rehabilitation of the Regional Specialist Hospital in Wrocław. A group of 52 patients, after their first-ever ischemic stroke with subsequent hemiplegia, was finally qualified to participate in the study. Serum CRP levels were determined during blood laboratory tests. The Modified Rankin Scale (mRS) and Barthel Index (BI) were used to assess functional outcomes. Rehabilitation using neurophysiological methods was applied five days a week (each session lasted 60 min, and the entire period was 42 days). At the first test, serum CRP levels were found to be above 5 mg/L in 19 patients, the second test in 12 patients, the third test in five patients, and the fourth test in 9 patients. Only three patients had values higher than 5 mg/L in all consecutive assessments (p > 0.05). There was a statistically significant increase in BI scores after therapy (p < 0.001) as well as a decrease in the mRS score by 2.2 points (p < 0.001), in CRP values by 5.02 mg/L (p = 0.019), and in cortisol levels by 2.5 nmol/L (p = 0.002). Statistically significant relationships were observed between the CRP levels after rehabilitation and the corresponding mRS scores (rs = 0.29, p = 0.038). Furthermore, the effect of BMI on CRP levels was demonstrated (B = 0.20, p = 0.038). In conclusion, despite demonstrating a significant relationship between CRP levels and corresponding mRS scores, CRP levels alone may not serve as an independent predictor of long-term functional outcomes in ischemic stroke patients undergoing rehabilitation.

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.

Acute right insular ischaemic lesions and poststroke left ventricular dysfunction

IntroductionMyocardial injury related to acute ischaemic stroke is common even without primary cardiac disease. We intended to determine associations between values of left ventricular ejection fraction (LVEF) and ischaemic stroke...

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).

Clinical characteristics of persistent headaches after the first-ever ischemic stroke (follow-up of 529 patients)

Background. Although persistent headaches are a common post-stroke pain syndrome, the epidemiology and clinical features of persistent headache after first-ever ischemic stroke have not been considered previously. There is no exact data on how often headache attributed to stroke persists for more than 3 months, i.e. meets the criteria for persistent headache after stroke and what are their distinctive clinical features. The tasks of our study were: to analyze the occurrence/incidence of persistent headaches after the first-ever ischemic stroke; to determine clinical characteristics and types of persistent headaches in comparison with headaches at the onset of stroke.&#x0D; Materials and methods. The study included 550 patients (mean age 63.1 years, 54% men) with first-ever ischemic stroke, of which 529 patients were followed up for at least three months after the stroke. Standardized semi-structured interview forms were used to assess these headaches during professional face-to-face interviews at the onset of stroke and 3 months after the stroke using telephone interview by neurologist.&#x0D; Results. Among 529 follow up patients 55 (10.4%) had persistent headaches after first-ever ischemic stroke. Among these 55 patients 34 patients had persistent new-type headaches which arose for the first time during the onset of stroke, they included predominated migraine-like headaches (n=20), tension-type-like headaches (n=9) and thunderclap-like headaches (n=5). 21 patients had persistent headaches with altered characteristics: predominated tension-type-like headaches (n=16), and less common migraine-like headaches (n=5). Persistent headaches after stroke had the following characteristics compared to headaches at onset of stroke: severe headache intensity, a gradual decrease of occurrence of accompanying symptoms (photo- and phonophobia; p=0.03), the transition of unilateral headaches in bilateral (p=0.004), the presence of headaches 15 days per month in 30.9% of the patients.&#x0D; Conclusion. Persistent post-stroke headaches represent a persistent pain syndrome with severe intensity and frequency of attacks, which requires their further study and creation of guidelines for their management.