Cerebrovascular Diseases Extra最新文献

Introduction: Detection of atrial fibrillation (AF) is challenging in patients after ischaemic stroke due to its paroxysmal nature. We aimed to determine the utility of a combined clinical, electrocardiographic, and genetic variable model to predict AF in a post-stroke population.

Materials and methods: We performed a cohort study at a single comprehensive stroke centre from November 09, 2009, to October 31, 2017. All patients recruited were diagnosed with acute ischaemic stroke or transient ischaemic attacks. Electrocardiographic variables including p-wave terminal force (PWTF), corrected QT interval (QTc), and genetic variables including single nucleotide polymorphisms (SNPs) at the 4q25 (rs2200733) were evaluated. Clinical, electrocardiographic and genetic variables of patients without AF and those who developed AF were compared. Multiple logistic regression analysis and receiver operating characteristics were performed to identify parameters and determine their ability to predict the occurrence of AF.

Results: Out of 709 patients (median age of 59 years, inter-quartile range 52-67) recruited, sixty (8.5%) were found to develop AF on follow-up. Age (odds ratio [OR]): 3.49, 95% confidence interval [CI]: 2.03-5.98, p < 0.0001), hypertension (OR: 2.76, 95% CI: 1.36-5.63, p = 0.0052), and valvular heart disease (OR: 8.49, 95% CI: 2.62-27.6, p < 0.004) were the strongest predictors of AF, with an area under receiver operating value of 0.76 (95% CI: 0.70-0.82), and 0.82 (95% CI: 0.77-0.87) when electrocardiographic variables (PWTF and QTc) were added. SNP did not improve prediction modelling.

Conclusion: We demonstrated that a model combining clinical and electrocardiographic variables provided robust prediction of AF in our post-stroke population. Role of SNP in prediction of AF was limited.

Introduction: Early determination of COVID-19 severity and health outcomes could facilitate better treatment of patients. Different methods and tools have been developed for predicting outcomes of COVID-19, but they are difficult to use in routine clinical practice.

Methods: We conducted a prospective cohort study of inpatients aged 20-92 years, diagnosed with COVID-19 to determine whether their individual 5-year absolute risk of stroke at the time of hospital admission predicts the course of COVID-19 severity and mortality. The risk of stroke was determined by the Stroke Riskometer mobile application.

Results: We examined 385 patients hospitalized with COVID-19 (median age 61 years). The participants were categorized based on COVID-19 severity: 271 (70.4%) to the "not severe" and 114 (29.6%) to the "severe" groups. The median risk of stroke the next day after hospitalization was significantly higher among patients in the severe group (2.83, 95% CI: 2.35-4.68) versus the not severe group (1.11, 95% CI: 1.00-1.29). The median risk of stroke and median systolic blood pressure (SBP) were significantly higher among non-survivors (12.04, 95% CI: 2.73-21.19) and (150, 95% CI: 140-170) versus survivors (1.31, 95% CI: 1.14-1.52) and (134, 95% CI: 130-135), respectively. Those who spent more than 2.5 h a week on physical activity were 3.1 times more likely to survive from COVID-19. Those who consumed more than one standard alcohol drink a day, or suffered with atrial fibrillation, or had poor memory were 2.5, 2.3, and 2.6 times more likely not to survive from COVID-19, respectively.

Conclusions: High risk of stroke, physical inactivity, alcohol intake, high SBP, and atrial fibrillation are associated with severity and mortality of COVID-19. Our findings suggest that the Stroke Riskometer app could be used as a simple predictive tool of COVID-19 severity and mortality.

Introduction: Mechanical thrombectomy (MT) has been reported to be effective within 24 h after last known well (LKW) by the DAWN (DWI or CTP Assessment with Clinical Mismatch in the Triage of Wake-Up and Late Presenting Strokes Undergoing Neurointervention with Trevo) trial and within 16 h after LKW by the DEFUSE-3 (Endovascular Therapy Following Imaging Evaluation for Ischemic Stroke 3) trial. However, there have been few reports of MT more than 16 h after LKW, and the efficacy and safety of MT more than 24 h after LKW have not yet been demonstrated. We evaluated the efficacy and safety of MT more than 16 h after LKW.

Methods: Using data from the Nippon Medical School Hospital MT registry from April 2011 to August 2022, consecutive patients with anterior circulation large vessel occlusion (LVO) and prehospital modified Rankin scale (mRS) scores of 0-3 were enrolled. Patients were classified into the following three groups: early group (LKW <6 h), middle group (LKW 6-16 h), and late group (LKW >16 h). The clinical characteristics and outcomes were compared among these three groups.

Results: Among 778 patients in the MT registry, 624 were enrolled. The early group included 432 patients, the middle group included 123 patients, and the late group included 69 patients. The patients had a median age of 77 years (interquartile range, 68-83), and 359 were male (57.5%). The median prehospital mRS score was 1 (interquartile range, 1-1), median National Institutes of Health Stroke Scale score on admission was 17 (interquartile range, 10-23), and median Alberta Stroke Program Early CT Score was 10 (interquartile range, 8-10). Regarding safety and efficacy, the proportions of cases with successful reperfusion (modified Thrombolysis in Cerebral Infarction score of 2b-3; 85.4% vs. 92.7% vs. 88.7%; p = 0.47), symptomatic intracranial haemorrhage (6.4% vs. 5.7% vs. 7.2%; p = 0.99), mRS score ≤3 at 90 days (52.0% vs. 60.2% vs. 44.9%; p = 0.11), and mRS score of 6 at 90 days (11.3% vs. 10.6 vs. 8.7%; p = 0.37) were not significantly different between the three groups.

Conclusion: Patients who received MT more than 16 h after LKW experienced the same safety and efficacy as those who received MT at 0-16 h after LKW. MT more than 16 h after LKW may be safe and effective for stroke patients with LVO.

Introduction: Angiogram-negative subarachnoid hemorrhage (AN-SAH) accounts for 5-15% of spontaneous SAH. This study aims to analyze the frequency and characteristics of spinal bleeding sources in patients with AN-SAH.

Methods: 140 patients suffering from AN-SAH treated at our institution from 2012 to 2022 were included in this retrospective cohort study.

Results: 52.1% were diagnosed with perimesencephalic SAH, 35.0% with non-perimesencephalic, SAH and 12.9% with CT-negative SAH (diagnosed by lumbar puncture). Additional magnetic resonance imaging (MRI) identified a spinal bleeding source in 4 patients (2.86%). These patients presented with local spine pain or neurological deficits (relative risk: 3.9706 [95% confidence interval [CI]: 0.7272-21.6792]; p < 0.001) and were younger (mean difference 14.85 years [95% CI: 0.85-28.85; p = 0.038]) compared to patients without a spinal bleeding source.

Conclusions: AN-SAH caused by spinal pathology is rare. This study indicates that craniocervical and holospinal MRI should be considered in AN-SAH, especially for young patients with AN-SAH who present with back pain or neurological deficits.

Introduction: There are very limited data on the role of biomarkers correlating with the outcome in acute ischemic stroke (AIS). We evaluated the predictive values of the plasma concentrations of soluble serum stimulation-2 (sST2), matrix metalloproteinase-9 (MMP-9), and claudin-5 in AIS.

Methods: The biomarker levels in the plasma samples of consecutive AIS patients collected at baseline, 12 h, and 24 h from stroke onset were quantified using immunoassays. Stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS) and functional outcome at 90 days using the modified Rankin Scale (mRS), with scores above 3 defined as poor outcome. Receiver operating characteristic curve analysis and multiple logistic regression were performed for evaluating the discriminative power of each marker.

Results: We included 108 patients in the study (mean age 62.3 ± 11.7 years). Median NIHSS score was 12 (interquartile range 8-18). High baseline glucose levels, systolic blood pressure, baseline NIHSS, low Alberta Stroke Program Early CT Score, and hemorrhagic transformation were associated with poor outcomes. Elevated sST2 at 12 h (50.4 ± 51.0 ng/mL; p = 0.047) and 24 h (81.8 ± 101.3 ng/mL; p = 0.001) positively correlated with poor outcomes. MMP-9 (p = 0.086) and claudin-5 (p = 0.2) were not significantly associated with the outcome, although increased expressions of both markers were observed at 12 h. Multiple logistic regression showed that sST2 levels ≥71.8 ng/mL at 24 h, with a specificity of 96.9%, emerged as an independent predictor of poor functional outcome (OR: 6.44; 95% CI: 1.40-46.3; p = 0.029).

Conclusion: Evaluation of sST2 may act as a reliable biomarker of functional outcome in AIS.

Introduction: Artificial intelligence (AI) software is increasingly applied in stroke diagnostics. Viz LVO (large vessel occlusion) is an AI-based software that is FDA-approved for LVO detection in CT angiography (CTA) scans. We sought to investigate differences in transfer times (from peripheral [spoke] to central [hub] hospitals) for LVO patients between spoke hospitals that utilize Viz LVO and those that do not.

Methods: In this retrospective cohort study, we used our institutional database to identify all suspected/confirmed LVO-transferred patients from spokes (peripheral hospitals) within and outside of our healthcare system, from January 2020 to December 2021. The "Viz-transfers" group includes all LVO transfers from spokes within our system where Viz LVO is readily available, while the "Non-Viz-transfers" group (control group) is comprised of all LVO transfers from spokes outside our system, without Viz LVO. Primary outcome included all available time metrics from peripheral CTA commencement.

Results: In total, 78 patients required a transfer. Despite comparable peripheral hospital door to peripheral hospital CTA times (20.5 [24.3] vs. 32 [45] min, p = 0.28) and transfer (spoke to hub) time (23 [18] vs. 26 [13.5], p = 0.763), all workflow metrics were statistically significantly shorter in the Viz-transfers group. Peripheral CTA to interventional neuroradiology team notification was 12 (16.8) versus 58 (59.5), p < 0.001, and peripheral CTA to peripheral departure was 91.5 (37) versus 122.5 (68.5), p < 0.001. Peripheral arrival to peripheral departure was 116.5 (75.5) versus 169 (126.8), p = 0.002, and peripheral arrival to central arrival was 145 (62.5) versus 207 (97.8), p < 0.001. In addition, peripheral CTA to angiosuite arrival was 121 (41) versus 207 (92.5), p < 0.001, peripheral CTA to arterial puncture was 146 (53) versus 234 (99.8), p < 0.001, and peripheral CTA to recanalization was 198 (25) versus 253.5 (86), p < 0.001.

Conclusion: Within our spoke and hub system, Viz LVO significantly decreased all workflow metrics for patients who were transferred from spokes with versus without Viz.

Introduction: Carotid endarterectomy (CEA) is the standard treatment for patients with symptomatic carotid stenosis. Data from low- and middle-income countries are sparse on CEA and its outcomes. We aimed to describe the profile of our patients and factors associated with periprocedural cerebral ischemic events in patients with symptomatic carotid stenosis who underwent CEA in our institute.

Methods: Retrospective review of patients with symptomatic carotid stenosis (50-99%) who underwent CEA between January 2011 and December 2021 was done. Clinical and imaging parameters and their influence on periprocedural cerebral ischemic events were analyzed.

Results: Of the 319 patients (77% males) with a mean age of 64 years (SD±8.6), 207 (65%) presented only after a stroke. Majority (85%) had high-grade stenosis (≥70%) of the symptomatic carotid. The mean time to CEA was 50 days (SD±36); however, only 26 patients (8.2%) underwent surgery within 2 weeks. Minor strokes and TIA occurred in 2.2%, while major strokes and death occurred in 4.1% patients. None of the clinical or imaging parameters predicted the periprocedural cerebral ischemic events. The presence of co-existing significant (≥50%) tandem intracranial atherosclerosis (n = 77, 24%) or contralateral occlusion (n = 24, 7.5%) did not influence the periprocedural stroke risk.

Conclusion: There is a delay in patients undergoing CEA for symptomatic carotid stenosis. Majority have high-grade stenosis and present late only after a stroke reflecting a lack of awareness. CEA can be performed safely even in patients with significant intracranial tandem stenosis and contralateral carotid occlusion.