European Stroke Journal最新文献

Introduction: The Tranexamic acid for IntraCerebral Haemorrhage-2 (TICH-2) trial reported no significant improvement in death and dependency at day 90 despite reductions in haematoma expansion, early neurological deterioration and early death. However, significant recovery after stroke, particularly intracerebral haemorrhage (ICH), may take more than 3 months. Here we report the participant outcomes at 1 year after stroke.

Patients and methods: TICH-2 was a prospective randomised controlled trial that tested the efficacy and safety of tranexamic acid in spontaneous ICH when given within 8 h of onset. Patients with ICH on anticoagulation were excluded. Centralised blinded telephone follow up was performed for patients from the United Kingdom at 1 year. The primary outcome was modified Rankin Scale at 1 year. Secondary outcomes included Barthel index, Telephone Interview Cognitive Status-modified, EuroQoL-5D and Zung Depression Scale. This was a prespecified secondary analysis of the TICH-2 trial.

Results: About 2325 patients were recruited into the trial (age 68.9 ± 13.8 years; 1301 male, 56%). About 1910 participants (82.2%) were eligible for day 365 follow up. 57 patients (3.0%) were lost to follow up. Tranexamic acid did not reduce the risk of poor functional outcome at 1 year (adjusted OR 0.91 95% CI 0.77-1.09; p = 0.302). However, Cox proportional hazard analysis revealed significant survival benefit in the tranexamic acid group (adjusted HR 0.83, 95% CI 0.70-0.99; p = 0.038).

Conclusion: There was no difference in functional outcome at 1 year after ICH. Tranexamic acid may reduce mortality at 1 year without an increase in severely dependent survivors. But this should be interpreted with caution as this is a result of secondary analysis in a neutral trial.

Background: Patients with acute stroke are at risk of respiratory or circulatory compromise resulting in vital instability, which can be captured through the widely used aggregated National Early Warning Score (NEWS). We aimed to assess the relation between vital instability (defined as NEWS of five or higher) and death or dependency at 90 days after stroke.

Methods: In this observational cohort study we studied 763 patients with ischaemic stroke (n = 400), intracerebral haemorrhage (ICH) (n = 146) or subarachnoid haemorrhage (SAH) (n = 217), hospitalized to a Dutch tertiary referral hospital from 1 January 2017 to 31 December 2018. We calculated NEWS for each 8 h time span during the first 72 h after hospitalization. We also decomposed NEWS into its three components respiration, circulation and consciousness. The primary outcome was death or dependency (modified Rankin Scale score ⩾3) at 90 days after stroke. The association of vital instability with functional dependency was examined using Poisson regression.

Results: Two hundred and twenty-seven (58%) patients with ischaemic stroke, 101 (69%) with ICH and 142 (65%) with SAH had at least one episode of vital instability. In patients with ischaemic stroke or SAH, vital instability was associated after adjustment for confounders with death or dependency (adjusted relative risk 1.55 ((95% CI) 1.25-1.93 and 2.13 (1.35-3.36), respectively)). This was mainly driven by impaired consciousness, which was associated with death or dependency in all types of stroke. Respiratory insufficiency and circulatory instability were associated with death or dependency only in SAH.

Conclusion: Vital instability in the first 72 h of hospitalization for ischaemic stroke or SAH is associated with death or dependency at 90 days. Impaired consciousness was the main driver of this relationship. NEWS may not be appropriate for patients with acute stroke, mainly due to the dichotomous manner in which the level of consciousness is classified, and modification of NEWS should be considered for these patients.

Introduction: Different serum lipid and lipid-lowering agents are reported to be related to the occurrence of intracerebral aneurysm (IA). However, the causal relationship between them requires further investigation.

Patients and methods: Mendelian randomization (MR) analysis was performed on IA and its subtypes by using instrumental variants associated with six serum lipids, 249 lipid metabolic traits, and 10 lipid-lowering agents that were extracted from the largest genome-wide association study. Phenome-wide MR analyses were conducted to identify potential phenotypes associated with significant lipid-lowering agents.

Results: After multiple comparison adjustments (p < 0.0083), genetically proxied triglyceride (TG) (odds ratio [OR] 1.25, 95% confidence interval [CI] 1.07-1.47, p = 0.005) and high-density lipoprotein cholesterol (HDL-C) levels (OR 0.93, 95% CI 0.89-0.98, p = 0.008) showed causal relationships with the risk of IA. Four lipid metabolic traits showed a causal relationship with the risk of IA (p < 0.0002). As confirmed by drug target MR, the causal relationship between the HMGCR target and IA, HMGCR target and subarachnoid hemorrhage (SAH), ANGPTL3 target and SAH, CETP target, and SAH remained statistically significant after multiple adjustments (p < 0.005). Additionally, phenome-wide MR did not identify other diseases linked to the significant lipid-lowering agent (p < 6.39 × 10^-5).

Discussion and conclusion: This study not only supports that serum lipids (TG and HDL-C) are associated with IA but also confirms the positive effect and absence of safety concerns of intervening HMGCR, ANGPTL3, and CETP targets in IA and its subtypes, opening new avenues for IA treatment.

Introduction: Atrial fibrillation (AF) and cancer are each associated with worse outcomes in patients with acute ischemic stroke (AIS). Few studies have evaluated the impact of AF on outcomes of cancer-related stroke.

Patients and methods: We conducted a retrospective cross-sectional study using the 2016-2019 National Inpatient Sample, identifying all hospitalizations with diagnosis codes for cancer and AIS. The primary exposure was a diagnosis of AF. The primary outcome was in-hospital mortality. The secondary outcomes were length-of-stay and discharge to non-home locations. We used multiple logistic and linear regression models, adjusted for age, gender, race-ethnicity, and the Charlson Comorbidity Index, to examine the association between AF and study outcomes.

Results: Among 150,200 hospitalizations with diagnoses of cancer and AIS (mean age 72 years, 53% male), 40,084 (26.7%) included comorbid AF. Compared to hospitalizations without AF, hospitalizations with AF had higher rates of in-hospital mortality (14.8% [95% CI, 14.0%-15.6%] vs 12.1% [95% CI, 11.6%-12.5%]) and non-home discharge disposition (83.5% [95% CI, 82.7%-84.3%] vs 75.1% [95% CI, 74.5%-75.7%]) as well as longer mean length-of-stay (8.4 days [95% CI, 8.2-8.6 days] vs 8.2 days [95% CI, 8.0-8.3 days]). In multivariable analyses, AF remained independently associated with higher odds of in-hospital mortality (adjusted odds ratio [aOR], 1.34; 95% CI, 1.24-1.46), non-home discharge disposition (aOR, 1.32; 95% CI, 1.23-1.42), and longer length-of-stay (adjusted mean difference, 13.7%; 95% CI, 10.9%-16.7%).

Discussion and conclusion: In cancer-related AIS, comorbid AF is associated with worse short-term outcomes, including higher odds for in-hospital mortality, poor discharge disposition, and longer hospital stays.

Introduction: This study aimed to describe and analyze the rate of clot migration of vessel thrombosis to distal segments in patients with acute ischemic stroke (AIS) who received intravenous thrombolysis (IVT) with tenecteplase (TNK) and alteplase (ALT) before mechanical thrombectomy (MT). In addition, we aimed to determine the relationship between thrombus migration and functional prognosis.

Methods: This study followed the STROBE reporting guidelines. We performed a retrospective analysis of a series of patients from November 2017 to April 2023 with an AIS with thrombosis on CT imaging, treated with IVT (TNK or ALT, split into two distinct groups) prior to mechanical thrombectomy.

Results: Two hundred and fifty-six patients with large vessel occlusion (LVO) were included. Ninety-six had received TNK. One hundred and sixty had received ALT. Of the 96 TNK patients, 25 experienced either complete recanalization (n = 3) or thrombus migration (n = 22). Of the 160 ALT patients, 20 experienced either complete recanalization (n = 6) or thrombus migration (n = 14). The difference being statistically substantial for the thrombus migration rate (OR = 3.61, 95% confidence interval: 1.63; 7.98). Migration to an irretrievable very distal segment occurred in four (4%) patients with TNK and in three patients (2%) with ALT (p > 0.05). Thrombus migration was not significantly associated to a different functional prognosis, measured through Rankin scale after 3 months (OR = 0.44, 95% confidence interval: 0.17; 1.12).

Conclusion: The use of TNK over ALT as a fibrinolytic agent is associated with a higher thrombus migration rate. The migration of thrombi to distal segments, which are theoretically less accessible for mechanical thrombectomy, did not result in worse clinical outcomes.

Background: Predicting functional impairment after intracerebral hemorrhage (ICH) provides valuable information for planning of patient care and rehabilitation strategies. Current prognostic tools are limited in making long term predictions and require multiple expert-defined inputs and interpretation that make their clinical implementation challenging. This study aimed to predict long term functional impairment of ICH patients from admission non-contrast CT scans, leveraging deep learning models in a survival analysis framework.

Methods: We used the admission non-contrast CT scans from 882 patients from the Massachusetts General Hospital ICH Study for training, hyperparameter optimization, and model selection, and 146 patients from the Yale New Haven ICH Study for external validation of a deep learning model predicting functional outcome. Disability (modified Rankin scale [mRS] > 2), severe disability (mRS > 4), and dependent living status were assessed via telephone interviews after 6, 12, and 24 months. The prediction methods were evaluated by the c-index and compared with ICH score and FUNC score.

Results: Using non-contrast CT, our deep learning model achieved higher prediction accuracy of post-ICH dependent living, disability, and severe disability by 6, 12, and 24 months (c-index 0.742 [95% CI -0.700 to 0.778], 0.712 [95% CI -0.674 to 0.752], 0.779 [95% CI -0.733 to 0.832] respectively) compared with the ICH score (c-index 0.673 [95% CI -0.662 to 0.688], 0.647 [95% CI -0.637 to 0.661] and 0.697 [95% CI -0.675 to 0.717]) and FUNC score (c-index 0.701 [95% CI- 0.698 to 0.723], 0.668 [95% CI -0.657 to 0.680] and 0.727 [95% CI -0.708 to 0.753]). In the external independent Yale-ICH cohort, similar performance metrics were obtained for disability and severe disability (c-index 0.725 [95% CI -0.673 to 0.781] and 0.747 [95% CI -0.676 to 0.807], respectively). Similar AUC of predicting each outcome at 6 months, 1 and 2 years after ICH was achieved compared with ICH score and FUNC score.

Conclusion: We developed a generalizable deep learning model to predict onset of dependent living and disability after ICH, which could help to guide treatment decisions, advise relatives in the acute setting, optimize rehabilitation strategies, and anticipate long-term care needs.

Introduction: The prognosis for stroke patients with type 2 diabetes mellitus (T2DM) remains poorly understood. We examined the risk of mortality and stroke recurrence in stroke patients with T2DM and stroke patients without diabetes.

Patients and methods: We conducted a population-based cohort study including all patients diagnosed with a first-time ischemic stroke (n = 131,594) or intracerebral hemorrhage (ICH, n = 15,492) in Denmark, 2005-2021. Patients with T2DM were identified using hospital diagnosis codes and glucose-lowering drug prescriptions. We calculated risks, risk differences, and risk ratios, standardized by age, sex, and calendar year of stroke admission.

Results: Following ischemic stroke, the 5-year standardized mortality was 46.1% for patients with T2DM and 35.4% for patients without diabetes (standardized risk difference: 10.7% [95% CI 9.9-11.6]; risk ratio: 1.3 [95% CI 1.3-1.3]). The 5-year risk of recurrence following ischemic stroke was 12.7% for patients with T2DM and 11.3% for those without diabetes (risk difference: 1.4% [95% CI 0.9-2.0]; risk ratio: 1.1 [95% CI 1.1-1.2]). Following ICH, the 5-year mortality was 62.8% for patients with T2DM and 53.0% for patients without diabetes (risk difference: 9.8% [95% CI 7.2-12.4)]; risk ratio: 1.2 [95% CI 1.1-1.2]). The 5-year risk of recurrence after ICH was 9.1% for patients with T2DM and 9.7% for patients without diabetes.

Discussion and conclusion: Stroke patients with T2DM were at increased risk of mortality. The risk of stroke recurrence was slightly higher for ischemic stroke patients with T2DM than patients without diabetes, while no difference was observed among ICH patients.

Introduction: The aim was to determine ischemic stroke patients' sickness absence and disability pension before and after stroke, and compare these to that of matched references.

Patients and methods: All working-aged individuals (aged 18-61) in Sweden with incident ischemic stroke in year 2000, 2005, 2010, or 2015, respectively, and five population-based matched references to each stroke patient. Each cohort was followed 1 year prior stroke and 3 years after. We calculated rates and mean days of sickness absence and disability pension among stroke patients and references and computed trajectories of absence days with predictors of high sickness absence and disability pension.

Results: Number of patients with incident ischemic stroke in 2000 (N = 2728), 2005 (N = 2738), 2010 (N = 2767), and 2015 (N = 2531). Mean stroke age was 53 years and rate of men was 64%. Mortality rate within 12 months after stroke date decreased from 8.1% in 2000 to 4.8% in 2015. Sickness absence for patients was 31.1% in the year prior their stroke, versus 13.7% for references, both groups mainly due to mental and musculoskeletal diagnoses. Factors associated with future high mean number of sickness absence and disability pension days were elementary educational level; adjusted OR (CI) 3.47(2.38-5.05), being single; 1.67(1.29-2.16), female sex 1.72(1.31-2.26), diabetes; 1.86(1.18-2.92), and aged >50; 2.25(1.69-2.98).

Discussion and conclusion: Ischemic stroke patients have more absence days compared to matched references even before the stroke, mainly related to mental and musculoskeletal diagnoses. Future research should address the impact of efficient stroke treatment on sickness absence and disability pension.

Background: Cirrhosis is associated with an increased risk of hemorrhagic stroke. Liver fibrosis, typically a silent condition, is antecedent to cirrhosis. The objective of this study was to test the hypothesis that elevated Fibrosis-4 (FIB-4) index, indicating a high probability of liver fibrosis, is associated with an increased risk of hemorrhagic stroke.

Methods: We performed a cohort analysis of the prospective United Kingdom Biobank cohort study. Participants 40-69 years old were enrolled between 2007 and 2010 and had available follow-up data until March 1, 2018. We excluded participants with prevalent hemorrhagic stroke or thrombocytopenia. High probability of liver fibrosis was defined as having a value >2.67 of the validated FIB-4 index. The primary outcome was hemorrhagic stroke (intracerebral or subarachnoid hemorrhage), defined based on hospitalization and death registry data. Secondary outcomes were intracerebral and subarachnoid hemorrhage, separately. We used Cox proportional hazards models to evaluate the association of FIB-4 index >2.67 with hemorrhagic stroke while adjusting for potential confounders including hypertension, alcohol use, and antithrombotic use.

Results: Among 452,994 participants (mean age, 57 years; 54% women), approximately 2% had FIB-4 index >2.67, and 1241 developed hemorrhagic stroke. In adjusted models, FIB-4 index >2.67 was associated with an increased risk of hemorrhagic stroke (HR, 2.0; 95% CI, 1.6-2.6). Results were similar for intracerebral hemorrhage (HR, 2.0; 95% CI, 1.5-2.7) and subarachnoid hemorrhage (HR, 2.2; 95% CI, 1.5-3.5) individually.

Conclusions: Elevated FIB-4 index was associated with an increased risk of hemorrhagic stroke.