Poststroke seizures and epilepsy increase the risk of dementia among stroke survivors: A population-based study.

OBJECTIVE: With global aging, the occurrence of stroke and associated outcomes like dementia are on the rise. Seizures and epilepsy are common poststroke complications and have a strong connection to subsequent dementia. This study examines the relationship between poststroke seizures (PSS) or poststroke epilepsy (PSE) and dementia using a national health care database. METHODS: We conducted a retrospective study using data from the Taiwan National Health Insurance Research Database from 2009 to 2020. We identified acute stroke patients from 2010 to 2015, excluding those with pre-existing neurological conditions. Based on age, sex, stroke severity level, and the year of index stroke, patients with PSS or PSE were matched to those without. The main outcome was incident dementia. RESULTS: This study included 62 968 patients with an average age of 63 years, with males accounting for 62.9%. Of them, 60.3% had ischemic strokes, and 39.7% had hemorrhagic strokes. After an average follow-up period of 5.2 years, dementia developed in 15.9% of patients who had PSS or PSE, as opposed to 8.4% of those without these conditions. A time-dependent Fine and Gray competing risk analysis showed that PSS and PSE were significantly associated with dementia across all stroke types. Subgroup analyses revealed significantly increased risk of dementia across all age groups (<50, 50-64, and ≥65 years), sexes, and various stroke severity levels. The link between PSS or PSE and dementia was particularly pronounced in men, with a less distinct correlation in women. SIGNIFICANCE: The risk of incident dementia was higher in patients with PSS or PSE. The potential for therapeutic interventions for seizures and epilepsy to reduce poststroke dementia underscores the importance of seizure screening and treatment in stroke survivors.

Association between Heat Vulnerability Index and Stroke Severity.

BACKGROUND: Socioeconomically disadvantaged neighborhoods are particularly vulnerable to heat-related illnesses. We aim to investigate the association between the heat vulnerability index (HVI), an established neighborhood-level metric of heat-related mortality risk, and acute ischemic stroke (AIS) severity. METHODS: We conducted a retrospective analysis of consecutive AIS admissions to a comprehensive stroke center between 2012 and 2021. Stroke severity was defined upon admission based on the National Institutes of Health Stroke Scale (NIHSS). Demographic, socioeconomic, and clinical characteristics were extracted from electronic health records. HVI status was assigned using residential ZIP codes. Multivariable logistic regression analyses were performed. RESULTS: Of 3429 AIS admissions, 1123 (32.8%) were from high-HVI (scores 4-5) neighborhoods and 868 (25.3%) had severe stroke (NIHSS score ≥ 10). In the multivariable regression model with stepwise selection, a high HVI was independently associated with severe stroke (adjusted odds ratio: 1.40 [95% confidence interval 1.16-1.69]). CONCLUSIONS: The association between a high HVI and severe stroke underscores the importance of targeting policy interventions to mitigate heat-related illness in socioeconomically disadvantaged neighborhoods.

Impact of prior oral anticoagulation on admission stroke severity in patients with atrial fibrillation.

BACKGROUND AND AIMS: In patients with atrial fibrillation, oral anticoagulation therapy is indicated for both primary and secondary prevention of stroke/systemic embolism. Though direct oral anticoagulants with greater safety and efficacy than warfarin were introduced into clinical practice at the beginning of the last decade, even now not all patients with AF have adequate preventative anticoagulant treatment. The primary goal of this study was to evaluate the impact of prior use of oral anticoagulants on admission stroke severity in those with AF. Other aims were, inter alia, to assess the trend in atrial fibrillation prevalence in the years of the HISTORY trials 2012-2021 carried out in the Czech Republic and use of oral anticoagulants (OAC) in ischemic stroke (IS) patients. METHODS: We analyzed consecutive ischemic stroke patients who had been enrolled in the HISTORY (Heart and Ischemic STrOke Relationship studY) study registered on ClinicalTrials.gov (identifier NCT01541163) in the year 2012 and carried out a yearly comparison (detailed in the text). RESULTS: In total, there were 1059 patients (55.9% males, mean age 71.7±12.8). There was no significant difference over the time period in rate of known (18.3 vs. 16.5%, P=0.442) or newly detected AF (17.0 vs. 16.0%, P=0.665), but sigificantly more patients with known AF were treated with oral anticoagulants before IS in the year 2021 (32.1 vs. 70.7%, P<0.0001), and direct oral anticoagulants (3.6 vs. 35.4%, P<0.0001). The number of patients with atrial fibrillation had not changed significantly over the years (26.2 vs. 31.3%). Patients on OAC had a lower median admission score on the National Institutes of Health Stroke Scale (NIHSS) than those not using an oral anticoagulant (6 vs. 16, P=0.0004) in 2021. CONCLUSIONS: There was no significant upward trend in atrial fibrillation in stroke patients admitted between 2012 and 2021, but patients with known AF were significantly more frequently treated with oral anticoagulants and direct oral anticoagulants (DOAC) in 2021. Patients on OAC had lower admission NIHSS scores than those not using any anticoagulent in the year 2021. The difference in the median admission NIHSS between the patients on OAC and those without OAC treatment was not significant in the year 2012 (6 vs. 12, P=0.066). This might be related to the fact that substantially fewer patients in 2012 were on DOACs, which are considered more effective than warfarin.

Association between atrial cardiopathy and stroke severity in acute ischemic stroke.

In this hospital-based cross-sectional analytic study, we retrospectively reviewed clinical data of patients with acute ischemic stroke (AIS) between January 2017 and April 2023. Atrial cardiopathy was defined as any presence of the following: left atrial diameter ≥ 52 mm (males) or ≥ 47 mm (females), elevated P-wave terminal force in V1 > 5000 µV ms, or serum N terminal pro B type natriuretic peptide > 250 pg/ml. Initial stroke severity was defined by the National Institutes of Health Stroke Scale (NIHSS; moderate-to-severe, ≥ 5; and severe, ≥ 15). Univariate and multivariate binary logistic regression analyses were performed to assess the association between atrial cardiopathy and stroke severity. Among 662 AIS patients (mean age 70 years [interquartile range 61-78], 31.3% women), 303 (45.8%) had atrial cardiopathy. Multivariable logistic regression analysis showed that the presence of atrial cardiopathy was significantly associated with a higher odd of moderate-to-severe stroke (adjusted odds ratio [OR] 2.16, 95% confidence interval [CI] 1.46-3.20, p < 0.001) and severe stroke (adjusted OR 4.89, 95%CI 2.45-9.76, p < 0.001). This association remained significant in a sensitivity analysis excluding those with atrial fibrillation or coronary artery disease. Findings of the current study revealed that the association of atrial cardiopathy was with initial stroke severity independent of atrial fibrillation and was even confirmed in patients without atrial fibrillation; future studies to explore improved stroke prevention strategies for patients with atrial cardiopathy are needed.

Study of Serum Gamma-Glutamyl Transferase Levels in Patients With Acute Ischemic Stroke.

Background Gamma-glutamyl transferase (GGT) mediates intracellular uptake of glutathione which is a known antioxidant. GGT levels are found to be elevated in conditions of oxidative stress. Ischemic stroke results in anoxic injury, which liberates free radicals, causing glutathione to rise, which may be accompanied by a rise in serum GGT levels. This study aimed to compare serum GGT levels in acute ischemic stroke patients with normal controls and to ascertain the relation of serum GGT levels with National Institute of Health Stroke Scale (NIHSS) scores. Materials and methods This cross-sectional study was carried out in a tertiary care hospital in South India from August 2023 to February 2024. The study included 57 patients who presented with acute ischemic stroke within 24 hours of onset and 57 age- and sex-matched controls. The serum GGT levels of the cases were compared with age- and sex-matched controls using an independent t-test. Mean serum GGT levels were compared among groups with varying NIHSS scores and different locations of infarction using the ANOVA test. Serum GGT levels were also compared based on age, gender, and various comorbidities. Results The mean serum GGT levels were significantly increased (p < 0.0001) in acute ischemic stroke patients, 43.96 ± 28.02 (mean ± SD), when compared to controls, 26.14 ± 5.93 (mean ± SD). The difference in serum GGT levels with NIHSS scores of 5-15 (moderate strokes) with 34.17 ± 18.39 (mean ± SD), 16-20 (moderate-severe strokes) with 46.64 ± 21.95 (mean ± SD), and >21 (severe stroke) with 84.62 ± 39.35 (mean ± SD) was significant (p < 0.00001). Serum GGT levels were not significant while comparing age, gender, location of infarction, type 2 diabetes mellitus, and hypertension. Conclusion Serum GGT levels were significantly elevated in acute ischemic stroke patients within 24 hours of presentation. Serum GGT levels were significantly elevated with increasing severity of stroke as calculated by NIHSS scores at the time of presentation. Serum GGT levels are a potential marker of ischemic stroke and its severity.

Stroke Severity, Caregiver Feedback, and Cognition in the REGARDS-CARES Study.

BACKGROUND: Cognitive impairment after stroke is common and is present in up to 60% of survivors. Stroke severity, indicated by both volume and location, is the most consequential predictor of cognitive impairment, with severe strokes predicting higher chances of cognitive impairment. The current investigation examines the associations of 2 stroke severity ratings and a caregiver-report of poststroke functioning with longitudinal cognitive outcomes. METHODS AND RESULTS: One hundred fifty-seven caregivers and stroke survivor dyads participated in the CARES (Caring for Adults Recovering From the Effects of Stroke) project, an ancillary study of the REGARDS (Reasons for Geographic and Racial Differences in Stroke) national cohort study. The Glasgow Outcome Scale and modified Rankin Scale scores collected at hospitalization discharge were included as 2 primary predictors of cognitive impairment. The number of caregiver-reported problems and impairments at 9 months following stroke were included as a third predictor. Cognition was measured using a biennial telephone battery and included the domains of learning, memory, and executive functioning. Multiple cognitive assessments were analyzed up to 5 years poststroke, controlling for prestroke cognition and demographic variables of the stroke survivor. Separate mixed models showed significant main effects of the Glasgow Outcome Scale (b=0.3380 [95% CI, 0.14-0.5]; P=0.0009), modified Rankin Scale (b=-0.2119 [95% CI, -0.32 to -0.10]; P=0.0002), and caregiver-reported problems (b=-0.0671 [95% CI, -0.09 to -0.04]; P<0.0001) on longitudinal cognitive scores. In a combined model including all 3 predictors, only caregiver-reported problems significantly predicted cognition (b=-0.0480 [95% CI, -0.08 to -0.03]; P<0.0001). CONCLUSIONS: These findings emphasize the importance of caregiver feedback in predicting cognitive consequences of stroke.

Role of Stroke Scales and Scores in Cerebrovascular Disease.

This article provides a comprehensive review of widely utilized stroke scales in both routine clinical settings and research. These scales are crucial for planning treatment, predicting outcomes, and helping stroke patients recover. They also play a pivotal role in planning, executing, and comprehending stroke clinical trials. Each scale presents distinct advantages and limitations, and the authors explore these aspects within the article. The authors' intention is to provide the reader with practical insights for a clear understanding of these scales, and their effective use in their clinical practice.

Association of α-HBDH levels with the severity and recurrence after acute ischemic stroke.

OBJECTIVE: α-HBDH serves as a biomarker of myocardial damage and is implicated in adverse outcomes across various critical illnesses. Our study aimed to assess the correlation between α-HBDH levels, and severity and recurrence of acute ischemic stroke (AIS). METHODS: We enrolled patients with mild-to-moderate AIS within 72 h of onset. Based on the baseline score of the National Institutes of Health Stroke Scale (bNIHSS) at registration, patients were categorized into mild (bNIHSS ≤ 4 points) and moderate AIS groups (4 < bNIHSS ≤ 10 points). Subsequently, based on the normal upper limit of α-HBDH, patients were divided into low-level α-HBDH (≤ 180 U/L) and high-level α-HBDH (> 180 U/L) groups. Multivariate logistic regression analysis and Cox proportional hazard regression analysis were employed to evaluate the relationship between α-HBDH levels and bNIHSS scores as well as the risk of recurrent AIS within 90 days. RESULTS: We observed a significant association between higher baseline levels of α-HBDH and increased bNIHSS scores, indicating a more severe AIS (odds ratio = 24.449; 95% confidence interval [CI], 8.749-68.324; p < 0.01). Additionally, the risk of recurrent AIS within 90 days was 4.666 times higher in the high-level α-HBDH group compared to the low-level group (hazard ratio = 4.666; 95% CI, 2.481-8.777; p < 0.01). CONCLUSIONS: The baseline level of α-HBDH is significantly correlated with the severity of AIS and the risk of recurrent AIS within 90 days.

Modified rankin scale is a reliable tool for the rapid assessment of stroke severity and predicting disability outcomes.

Background: 'Time is brain' goes the adage. Rapid and precise management of stroke is of the utmost essence. The modified National Institutes of Health Stroke Scale (mNIHSS) and the modified Rankin Scale (mRS) predict stroke severity and functional disability outcomes. However, the mRS can be administered more rapidly than the mNIHSS and therefore might be better to assess patient outcomes. Hence, the aim of this study was to assess the correlation of stroke severity on admission and functional disability outcomes on the day of discharge or on the 8th day of hospitalization. Materials and Methods: This was an observational, cross-sectional study with a sample size of 61 participants. The mNIHSS score was calculated on admission for patients with clinical features suggestive of stroke and mRS was calculated on the 8th day of hospitalization or on discharge. Evaluation of the association between continuous variables was done using Spearman's correlation analysis. Results: Correlation between mNIHSS and mRS was positive and statistically significant (rho = 0.866, 95% CI [0.751, 0.925]. For each point increase in the mNIHSS, the odds of having higher mRS scores are 153% more than the odds of having lower mRS scores (aOR = 2.534, 95% CI [1.904, 3.560]). Conclusion: Our study concluded that mRS can be reliably used to predict the functional outcomes for patients with stroke in circumstances where the mNIHSS may prove to be lengthy. Thus, where 'time is brain', the mRS can be used with a similar power to predict the outcome.

Development and Validation of a Fusion Model Based on Carotid Plaques and White Matter Lesion Burden Imaging Characteristics to Evaluate Ischemic Stroke Severity in Symptomatic Patients.

BACKGROUND: The diagnostic value of carotid plaque characteristics based on higher-resolution vessel wall MRI (HRVW-MRI) combined with white matter lesion (WML) burden for the risk of ischemic stroke is unclear. PURPOSE: To combine carotid plaque features and WML burden to construct a hybrid model for evaluating ischemic stroke severity and prognosis in patients with symptomatic carotid artery stenosis. STUDY TYPE: Retrospective. SUBJECTS: One hundred and ninty-three patients with least one confirmed carotid atherosclerotic stenosis ≥30% and cerebrovascular symptoms within the last 2 weeks (136 in the training cohort and 57 in the test cohort). FIELD STRENGTH/SEQUENCE: 3.0T, T2-weighted fluid attenuated inversion recovery (T2-FLAIR) and diffusion-weighted imaging (DWI); HRVW-MRI: 3D T1-weighted variable flip angle fast spin-echo sequences (VISTA), T2-weighted VISTA, simultaneous noncontrast angiography and intraplaque hemorrhage (SNAP), and contrast-enhanced T1-VISTA. ASSESSMENT: The following features of the plaques or vessel wall were assessed by three MRI readers independently: calcification (CA), intraplaque hemorrhage (IPH), lipid-rich necrotic core (LRNC), ulceration, plaque enhancement (PE), maximum vessel diameter (Max VD), maximum wall thickness (Max WT), total vessel area (TVA), lumen area (LA), plaque volume, and lumen stenosis. WMLs were graded visually and categorized as absent-to-mild WMLs (Fazekas score 0-2) or moderate-severe WMLs (Fazekas score 3-6). WML volumes were quantified using a semiautomated volumetric analysis program. Modified Rankin scores (mRS) were assessed at 90 days, following an outpatient interview, or by telephone. STATISTICAL TESTS: LASSO-logistic regression analysis was performed to construct a model. The performance of the model was evaluated using receiver operating characteristic (ROC) curve analyses, calibration curves, decision curve analyses, and clinical imaging curves. Conditional logistic regression analysis was used to explore the associations between the hybrid model-derived score and the modified Rankin Scale (mRS) score at 90 days. RESULTS: The model was constructed using five selected features, including IPH, plaque enhancement, ulceration, NWI, and total Fazekas score in deep WMLs (DWMLs). The hybrid model yielded an area under the curve of 0.92 (95% confidence interval [CI] 0.87-0.97) in the training cohort and 0.88 (0.80-0.96) in the test cohort. Furthermore, the hybrid model-derived score (odds ratio = 1.28; 95% CI 1.06-1.53) was independently associated with the mRS score 90 days after stroke. DATA CONCLUSIONS: The hybrid model constructed using MRI plaque characteristics and WML burden has potential to be an effective noninvasive method of assessing ischemic stroke severity. The model-derived score has promising utility in judging neurological function recovery. TECHNICAL EFFICACY: Stage 2.

Ethnic and Gender Variations in Ischemic Stroke Patterns among Arab Populations in Northern Israel: A Preliminary Exploration towards Culturally Aware Personalized Stroke Care.

The Galilee region of Israel boasts a rich ethnic diversity within its Arab population, encompassing distinct Muslim, Christian, Druze, and Bedouin communities. This preliminary exploratory study uniquely examined potential ethnic and gender differences in ischemic stroke characteristics across these Arab subgroups, which are seldom investigated separately in Israel and are typically studied as a homogeneous "Arab" sector, despite significant variations in their ethnicity, culture, customs, and genetics. The current study aimed to comparatively evaluate stroke characteristics, including recurrence rates, severity, and subtypes, within and across these distinct ethnic groups and between genders. When examining the differences in stroke characteristics between ethnic groups, notable findings emerged. The Bedouin population exhibited significantly higher rates of recurrent strokes than Muslims (M = 0.55, SD = 0.85 vs. M = 0.25, SD = 0.56; p < 0.05). Large vessel strokes were significantly more prevalent among Christians (30%) than Druze (9.9%; p < 0.05). Regarding gender differences within each ethnic group, several disparities were observed. Druze women were six times more likely to experience moderate to severe strokes than their male counterparts (p < 0.05). Interestingly, Druze women also exhibited a higher representation of cardio-embolic stroke (19.8%) compared with Druze men (4.6%; p < 0.001). These findings on the heterogeneity in stroke characteristics across Arab ethnic subgroups and by gender underscore the need to reconsider the approach that views all ethnic groups comprising the Arab sector in Israel as a homogeneous population; instead, they should be investigated as distinct communities with unique stroke profiles, requiring tailored culturally aware community-based prevention programs and personalized therapeutic models. The identified patterns may guide future research to develop refined, individualized, and preventive treatment approaches targeting the distinct risk factors, healthcare contexts, and prevention needs of these diverse Arab populations.

Lower serum uric acid to serum creatinine ratio as a predictor of poor functional outcome after mechanical thrombectomy in acute ischaemic stroke.

BACKGROUND AND PURPOSE: The ratio of serum uric acid (SUA) to serum creatinine (SCr), representing normalized SUA for renal function, is associated with functional outcome in acute ischaemic stroke (AIS) patients. However, its effect on AIS patients undergoing mechanical thrombectomy (MT) remains unknown. This study aimed to investigate the influence of the SUA/SCr ratio on clinical outcome in MT-treated AIS patients. METHODS: Acute ischaemic stroke patients who underwent MT were continuously enrolled from January 2018 to June 2023. Upon admission, SUA and SCr levels were recorded within the initial 24 h. Stroke severity was determined using the National Institutes of Health Stroke Scale (NIHSS) score. Clinical outcome included poor functional outcome (modified Rankin Scale score >2) at 90 days, symptomatic intracranial haemorrhage and death. RESULTS: Amongst 734 patients, 432 (58.8%) exhibited poor functional outcome at 90 days. The SUA/SCr ratio exhibited a negative correlation with NIHSS score (ρ = -0.095, p = 0.010). Univariate analysis revealed a significant association between SUA/SCr ratio and poor functional outcome. After adjusting for confounders, the SUA/SCr ratio remained an independent predictor of functional outcome (adjusted odds ratio 0.348, 95% confidence interval 0.282-0.428, p < 0.001). Receiver operating characteristic curve analysis highlighted the ability of the SUA/SCr ratio to predict functional outcome, with a cutoff value of 3.62 and an area under the curve of 0.757 (95% confidence interval 0.724-0.788, p < 0.001). CONCLUSION: The SUA/SCr ratio is correlated with stroke severity and may serve as a predictor of 90-day functional outcome in AIS patients undergoing MT.

Automatic quantitative stroke severity assessment based on Chinese clinical named entity recognition with domain-adaptive pre-trained large language model.

BACKGROUND: Stroke is a prevalent disease with a significant global impact. Effective assessment of stroke severity is vital for an accurate diagnosis, appropriate treatment, and optimal clinical outcomes. The National Institutes of Health Stroke Scale (NIHSS) is a widely used scale for quantitatively assessing stroke severity. However, the current manual scoring of NIHSS is labor-intensive, time-consuming, and sometimes unreliable. Applying artificial intelligence (AI) techniques to automate the quantitative assessment of stroke on vast amounts of electronic health records (EHRs) has attracted much interest. OBJECTIVE: This study aims to develop an automatic, quantitative stroke severity assessment framework through automating the entire NIHSS scoring process on Chinese clinical EHRs. METHODS: Our approach consists of two major parts: Chinese clinical named entity recognition (CNER) with a domain-adaptive pre-trained large language model (LLM) and automated NIHSS scoring. To build a high-performing CNER model, we first construct a stroke-specific, densely annotated dataset "Chinese Stroke Clinical Records" (CSCR) from EHRs provided by our partner hospital, based on a stroke ontology that defines semantically related entities for stroke assessment. We then pre-train a Chinese clinical LLM coined "CliRoberta" through domain-adaptive transfer learning and construct a deep learning-based CNER model that can accurately extract entities directly from Chinese EHRs. Finally, an automated, end-to-end NIHSS scoring pipeline is proposed by mapping the extracted entities to relevant NIHSS items and values, to quantitatively assess the stroke severity. RESULTS: Results obtained on a benchmark dataset CCKS2019 and our newly created CSCR dataset demonstrate the superior performance of our domain-adaptive pre-trained LLM and the CNER model, compared with the existing benchmark LLMs and CNER models. The high F1 score of 0.990 ensures the reliability of our model in accurately extracting the entities for the subsequent automatic NIHSS scoring. Subsequently, our automated, end-to-end NIHSS scoring approach achieved excellent inter-rater agreement (0.823) and intraclass consistency (0.986) with the ground truth and significantly reduced the processing time from minutes to a few seconds. CONCLUSION: Our proposed automatic and quantitative framework for assessing stroke severity demonstrates exceptional performance and reliability through directly scoring the NIHSS from diagnostic notes in Chinese clinical EHRs. Moreover, this study also contributes a new clinical dataset, a pre-trained clinical LLM, and an effective deep learning-based CNER model. The deployment of these advanced algorithms can improve the accuracy and efficiency of clinical assessment, and help improve the quality, affordability and productivity of healthcare services.

Pre-Stroke Antihypertensive Therapy Affects Stroke Severity and 3-Month Outcome of Ischemic MCA-Territory Stroke.

OBJECTIVES: Whether different antihypertensive drug classes in high blood pressure (HBP) pre-stroke treatment affect dynamic cerebral autoregulation (dCA), stroke severity, and outcome. METHODS: Among 337 consecutive ischemic stroke patients (female 102; median age 71 years [interquartile range, [IQR 60; 78]; NIHSS median 3 [IQR 1; 6]) with assessment of dCA, 183 exhibited the diagnosis of HBP. dCA parameters' gain and phase were determined by transfer function analysis of spontaneous oscillations of blood pressure and cerebral blood flow velocity. RESULTS: Patients used beta-blockers (n = 76), calcium channel blockers (60), diuretics (77), angiotensin-converting enzyme inhibitors (59), or angiotensin-1 receptor blockers (79), mostly in various combinations of two or three drug classes. dCA parameters did not differ between the non-HBP and the different HBP medication groups. Multinomial ordinal logistic regression models revealed that the use of diuretics decreased the likelihood of a less severe stroke (odds ratio 0.691, 95% CI 0.493; 0.972; p = 0.01) and that beta-blockers decreased the likelihood of a better modified Rankin score at 3 months (odds ratio 0.981, 95% CI 0.970; 0.992; p = 0.009). Other independent factors associated with stroke outcome were penumbra and infarct volume, treatment with mechanical thrombectomy, and the initial National Institute of Health Stroke Scale score. INTERPRETATION: In this cohort of ischemic minor to moderate stroke patients, pre-stroke antihypertensive treatment with diuretics was associated with a more severe neurological deficit on admission and pre-stroke treatment with beta-blockers with a poorer 3-month outcome. The antihypertensive drug class used pre-stroke did not impact dCA.

Trends in stroke severity at hospital admission and rehabilitation discharge before and during the COVID-19 pandemic in Hesse, Germany: a register-based study.

BACKGROUND: The COVID-19 pandemic has affected acute stroke care, resulting in a decrease in stroke admissions worldwide. We examined trends in stroke severity at hospital admission, including (1) probable need for rehabilitation (National Institutes of Health Stroke Scale score > 6 points) and (2) probable need for assistance (modified Rankin Scale score > 2 points), and discharge to rehabilitation after acute care among inpatients with acute ischemic stroke and intracerebral hemorrhage. METHODS: We compared quality assurance data for acute ischemic stroke and intracerebral hemorrhage during the pandemic with the period before the pandemic in Hesse, Germany, using logistic regression analyses. RESULTS: Fewer inpatients with a probable need for rehabilitation were present at the beginning of the second wave of the COVID-19 pandemic in September 2020 (adjusted OR (aOR) 0.85, 95% CI [0.73, 0.99]), at the end of the second national lockdown in May 2021 (aOR 0.81, 95% CI [0.70, 0.94]), and at the approaching peak of COVID-19 wave 4 in November 2021 (aOR 0.79, 95% CI [0.68, 091]). Rates of probable need for assistance were significantly lower at the beginning of COVID-19 wave 2 in August 2020 (aOR 0.87, 95% CI [0.77, 0.99]) and at the beginning of COVID-19 wave 3 in March 2021 (aOR 0.80, 95% CI [0.71, 0.91]). Rates of discharge to rehabilitation were lower from the beginning in October 2020 to the peak of COVID-19 wave 2 in December 2020 (aOR 0.83, 95% CI [0.77, 0.90]), at the beginning and end of COVID-19 wave 3 in March 2021 and May 2021 (aOR 0.86, 95% CI [0.79, 0.92]), respectively, and at the beginning of COVID-19 wave 4 in October 2021 (aOR 0.86, 95% CI [0.76, 0.98]). CONCLUSIONS: The results suggest that the COVID-19 pandemic had an impact on stroke management during the pandemic, but the absolute difference in stroke severity at hospital admission and discharge to rehabilitation was small.

Unveiling the negative association of Faecalibacterium prausnitzii with ischemic stroke severity, impaired prognosis and pro-inflammatory markers.

Background: The correlation between acute ischemic stroke (AIS) and gut microbiota has opened a promising avenue for improving stroke prognosis through the utilization of specific gut bacterial species. This study aimed to identify gut bacterial species in AIS patients and their correlation with stroke severity, 3-month prognosis, and inflammatory markers. Methods: We enrolled 59 AIS patients (from June 2021 to July 2022) and 31 age-matched controls with similar cerebrovascular risk profiles but no stroke history. Fecal samples were analyzed using 16 S rDNA V3-V4 sequencing to assess α and ß diversity and identify significant microbiota differences. AIS cases were categorized based on the National Institute of Health Stroke Scale (NIHSS) scores and 3-month modified Rankin Scale (mRS) scores. Subgroup analyses were performed, and correlation analysis was used to examine associations between flora abundance, inflammatory markers and stroke outcome. Results: Significant differences in ß-diversity were observed between case and control groups (P < 0.01). Bacteroides dominated AIS samples, while Clostridia, Lachnospirales, Lachnospiraceae, Ruminococcaceae, Faecalibacterium, and Faecalibacterium prausnitzii were prominent in controls. Faecalibacterium and Faecalibacterium prausnitzii were significantly reduced in non-minor stroke and 3-month poor prognosis groups compared to controls, while this difference was less pronounced in patients with minor stroke and 3-month good prognosis. Both Faecalibacterium and Faecalibacterium prausnitzii were negatively correlated with the NIHSS score on admission (r = -0.48, -0.48, P < 0.01) and 3-month mRS score (r = -0.48, -0.44, P < 0.01). Additionally, they showed negative correlations with pro-inflammatory factors and positive correlations with anti-inflammatory factors (both P < 0.01). Conclusions: Faecalibacterium prausnitzii is negatively associated with stroke severity, impaired prognosis, and pro-inflammatory markers, highlighting its potential application in AIS treatments.

High brain natriuretic peptide level is associated with severe stroke in patients taking oral anticoagulants: A sub-analysis of the PASTA registry study.

BACKGROUND: Brain natriuretic peptides (BNP) are an important diagnostic and prognostic marker in patients with heart failure. However, the relationship between BNP levels and stroke severity in patients with atrial fibrillation (AF) remains unelucidated. In this study, we aimed to investigate the association between stroke severity at admission and BNP levels. METHODS: In this prospective observational study, we used data from 513 patients with AF and acute ischemic stroke treated with oral anticoagulants (OAC) registered in the Multicenter Prospective Analysis of Stroke Patients Taking Oral Anticoagulants study. The patients were divided into two groups: high-BNP (≥200 pg/mL) and low-BNP level (<200 pg/mL) groups. We compared the clinical characteristics between the two groups and determined the effect of BNP levels on stroke severity on admission. RESULTS: Among the 513 enrolled patients, 248 (females, n = 30; median age, 82 years) and 265 (females, n = 76; median age, 71 years) were assigned to the high- and low-BNP level groups, respectively. The high-BNP level group had a higher proportion of patients with severe stroke (National Institutes of Health Stroke Scale score, ≥10) on admission (49.2% vs. 32.8%, p = 0.002) and major vessel occlusion (57.5% vs. 39.2%, p < 0.0001) than that had by the low-BNP level group. Multivariate analysis showed that high BNP level was independently associated with severe stroke on admission (odds ratio 1.07, 95% confidence interval 1.00-1.15; p = 0.0478). CONCLUSIONS: High BNP level compared with low BNP level was associated with severe stroke and major vessel occlusion, even before OAC treatment.

Clinical Benefits of Oral Anticoagulants for Elderly Patients With Cardioembolic Stroke at High Bleeding Risk.

BACKGROUND/AIM: The relationship between the severity of cardioembolic stroke (CES) and oral anticoagulant (OAC) treatment before stroke onset in very elderly (≥80 years) patients with nonvalvular atrial fibrillation (NVAF) at high bleeding risk remains unknown. PATIENTS AND METHODS: A total of 364 consecutive patients (≥80 years) with CES and NVAF within 48 h following stroke onset were investigated. High bleeding risk was defined as follows: Bleeding history, renal dysfunction (creatinine clearance <30 ml/min), low body weight (≤45 kg), and antiplatelet or nonsteroidal anti-inflammatory drug use. Patients were divided into two groups: High bleeding risk (n=214) and non-high bleeding risk (n=150). We assessed stroke severity and functional outcome between the two groups, and evaluated the effect of therapy with direct OAC (DOAC) on stroke severity in the high-risk group. RESULTS: The high-risk group had a worse modified Rankin Scale (mRS) at discharge than the non-high-risk group [median: 4 (range=2-5) vs. 3 (range=1-4); p=0.02]. Patients in the high-risk group were categorized according to OAC treatment before stroke onset: No OAC (n=148), warfarin (n=46), and DOAC (n=20). The numbers of patients with National Institutes of Health Stroke Scale score (NIHSS) ≥8 on admission in these groups were 104 (70%), 30 (65%), and 8 (40%) (p=0.03), respectively. Multivariate analysis confirmed that DOAC therapy had a lower odds ratio (OR) for severe stroke (NIHSS ≥8) on admission (OR relative to no OAC=0.22, 95% confidence interval=0.08-0.62; p=0.005) and poor functional outcome (mRS ≥4) at discharge (OR=0.31, 95% confidence interval=0.11-0.90; p=0.03). CONCLUSION: Very elderly patients with CES at high bleeding risk have unfavorable functional outcomes. DOAC administration may be associated with reduced stroke severity.

Neutrophil Lymphocyte Ratio as a Predictor of Stroke Severity in Type 2 Diabetes Mellitus: A Single-Center Study.

INTRODUCTION: Type 2 diabetes mellitus (T2DM) is associated with various microvascular and macrovascular complications. Stroke, being a vascular complication, is associated with severe morbidity and mortality. Neutrophil lymphocyte ratio (NLR), a crude, inexpensive, and rather easily available modality to detect inflammation, has been utilized to find the extent of inflammation in type 2 diabetes mellitus patients. In this study, we find the effect of hemoglobin A1c (HbA1c) on NLR and the effect of NLR on stroke severity index. AIMS AND OBJECTIVES: This study aims to determine the use of the NLR in predicting stroke severity in a type 2 diabetes mellitus patient. MATERIALS AND METHODS: This study is an observational cross-sectional study. A total of 400 patients were enrolled, all of whom had type 2 diabetes mellitus, with 200 of them diagnosed with an ischemic stroke. The National Institute of Health stroke scale (NIHSS) was used to standardize stroke severity and NLR was calculated from differential counts. RESULTS: The mean NLR for patients with type 2 diabetes mellitus was 3.87 ± 0.76 (mean ± SD), while for those with type 2 diabetes mellitus and stroke, it was 7.89 ± 1.29 (mean ± SD), with a statistically significant p-value < 0.001. Additionally, for every 1 unit increase in HbA1c, the NLR increased by 0.38 in type 2 diabetes mellitus patients and 0.86 in type 2 diabetes mellitus patients with stroke. Furthermore, each 1-unit increase in NLR corresponded to a rise of 0.80 in the stroke severity index. CONCLUSION: The study shows a significant correlation between NLR in type 2 diabetes mellitus patients and stroke in type 2 diabetes mellitus patients. Also, it shows the significance of NLR in predicting stroke severity.

Baseline neurologic deficit and efficacy of remote ischemic conditioning after acute ischemic stroke: A post hoc analysis of RICAMIS.

RICAMIS (ClinicalTrials.gov Identifier: NCT03740971) trial has demonstrated efficacy of remote ischemic conditioning (RIC) in acute ischemic stroke, but whether baseline NIHSS score can affect outcomes in stroke remains unclear. We conducted a post hoc analysis of RICAMIS to investigate the issue. Patients included in RICAMIS were divided into three groups based on baseline NIHSS score. The primary outcome was excellent functional outcome at 90 days, defined as mRS score of 0-1. Compared with patients receiving usual care, we investigated association of RIC effect with outcomes in each group and interaction between RIC effect and stroke severity. Among 1776 patients, 1255 were assigned into NIHSS score 6-8 group, 402 into NIHSS score 9-12 group, and 119 into NIHSS score 13-16 group. A higher proportion of primary outcome was found associated with RIC in NIHSS score 9-12 group (adjusted risk difference [RD], 14.6 â€‹%; 95 â€‹% CI, 5.0 â€‹%-24.2 â€‹%; P â€‹= â€‹0.003), but no significant association was found in NIHSS score 6-8 group (adjusted RD, 2.3 â€‹%; 95 â€‹% CI, -2.5 â€‹%-7.2 â€‹%; P â€‹= â€‹0.34), or in NIHSS score 13-16 group (adjusted RD, 9.7 â€‹%; 95 â€‹% CI, -7.5 â€‹%-26.9 â€‹%; P â€‹= â€‹0.27). There was a significant interaction between RIC effect and stroke severity when analysis was performed between NIHSS score 6-8 and 9-12 groups (P â€‹= â€‹0.04), but not between NIHSS score 9-12 and 13-16 groups (P â€‹= â€‹0.57). Current study firstly reported patients with NIHSS score 9-12 may get more benefit from RIC after stroke with respect to excellent functional outcome at 90 days.