The Influence of Cerebral Arterial Circle on Prominent Hypointense Vessel Signs in Patients With Internal Carotid Artery Occlusion

Background and PurposePrevious studies on the presence of asymmetrical prominent cortical and medullary vessel signs (APCV/APMV) and collateral circulation in patients with internal carotid artery occlusion internal carotid artery occlusion (ICAO) are rare, and the conclusions are inconsistent. Our study aimed to investigate the relationship between the presence of APCV/APMV and collateral circulation in patients with ICAO.MethodsPatients with acute ischemic stroke with ICAO were recruited in this study. All 74 patients were divided into two groups depending on the presence of APCV and APMV. The status of the cerebral arterial circle (CAC) was graded as poor or good. The poor CAC was defined as MCA was invisible. Severe stroke was defined as cerebral watershed infarction (CWI) or territorial infarction (TI). Clinical and radiological markers were compared between these two groups. Logistic regression was used to investigate the association between the APCV/APMV and clinical and radiological markers.ResultsA total of 74 patients with ICAO were enrolled. Forty-three patients (58.1%) presented with an APCV and APMV was found in 35 (47.2%) patients. Compared with patients with non-APCV, patients with APCV had a more severe stroke (P = 0.038) and had a significantly higher incidence of poor CAC (P = 0.022) than those with APCV. Patients with APMV had a more severe stroke (P = 0.001). Logistic regression showed that poor CAC was independently associated with APCV and severe stroke were independently associated with APMV.ConclusionsOur study demonstrates that poor CAC was independently associated with the presence of the APCV in patients with ICAO. Severe stroke was independently associated with the APMV.

Multimodal Imaging Biomarker-Based Model Using Stratification Strategies for Predicting Upper Extremity Motor Recovery in Severe Stroke Patients

Background. Various prognostic biomarkers for upper extremity (UE) motor recovery after stroke have been reported. However, most have relatively low predictive accuracy in severe stroke patients. Objective. This study suggests an imaging biomarker-based model for effectively predicting UE recovery in severe stroke patients. Methods. Of 104 ischemic stroke patients screened, 42 with severe motor impairment were included. All patients underwent structural, diffusion, and functional magnetic resonance imaging at 2 weeks and underwent motor function assessments at 2 weeks and 3 months after stroke onset. According to motor function recovery at 3 months, patients were divided into good and poor subgroups. The value of multimodal imaging biomarkers of lesion load, lesion volume, white matter integrity, and cortical functional connectivity for motor recovery prediction was investigated in each subgroup. Results. Imaging biomarkers varied depending on recovery pattern. The integrity of the cerebellar tract ( P = .005, R 2 = .432) was the primary biomarker in the good recovery group. In contrast, the sensory-related corpus callosum tract ( P = .026, R 2 = .332) and sensory-related functional connectivity ( P = .001, R 2 = .531) were primary biomarkers in the poor recovery group. A prediction model was proposed by applying each biomarker in the subgroup to patients with different motor evoked potential responses ( P < .001, R 2 = .853, root mean square error = 5.28). Conclusions. Our results suggest an optimized imaging biomarker model for predicting UE motor recovery after stroke. This model can contribute to individualized management of severe stroke in a clinical setting.

Phenylacetylglutamine, a Novel Biomarker in Acute Ischemic Stroke

Background: To discover novel metabolic biomarkers of ischemic stroke (IS), we carried out a two-stage metabolomic profiling of IS patients and healthy controls using untargeted and targeted metabolomic approaches.Methods: We applied untargeted liquid chromatography-mass spectrometry (LC-MS) to detect the plasma metabolomic profiles of 150 acute IS patients and 50 healthy controls. The candidate differential microbiota-derived metabolite phenylacetylglutamine (PAGln) was validated in 751 patients with IS and 200 healthy controls. We evaluated the associations between PAGln levels and the severity and functional outcomes of patients with IS. Clinical mild stroke was defined as the National Institutes of Health Stroke Scale (NIHSS) score 0–5, and moderate-severe stroke as NIHSS score &gt;5. A favorable outcome at 3 months after IS was defined as the modified Rankin Scale (mRS) score 0–2, and unfavorable outcome as mRS score 3–6.Results: In untargeted metabolomic analysis, we detected 120 differential metabolites between patients with IS and healthy controls. Significantly altered metabolic pathways were purine metabolism, TCA cycle, steroid hormone biosynthesis, and pantothenate and CoA biosynthesis. Elevated plasma PAGln levels in IS patients, compared with healthy controls, were observed in untargeted LC-MS analysis and confirmed by targeted quantification (median 2.0 vs. 1.0 μmol/L; p &lt; 0.001). Patients with moderate-severe stroke symptoms and unfavorable short-term outcomes also had higher levels of PAGln both in discovery and validation stage. After adjusting for potential confounders, high PAGln levels were independently associated with IS (OR = 3.183, 95% CI 1.671–6.066 for the middle tertile and OR = 9.362, 95% CI 3.797–23.083 for the highest tertile, compared with the lowest tertile) and the risk of unfavorable short-term outcomes (OR = 2.286, 95% CI 1.188–4.401 for the highest tertile).Conclusions: IS patients had higher plasma levels of PAGln than healthy controls. PAGln might be a potential biomarker for IS and unfavorable functional outcomes in patients with IS.

COVID-19-associated stroke: experience of Regional clinical hospital Krasnoyarsk city

Mechanisms of the impact of the new coronavirus infection on nervous system that leads to various neurological complications, including strokes, and disease patterns and prognosis for stroke patients with COVID-19 are actively discussed in the literature. The aim of the research was a comparison of clinical outcomes in stroke patients with SARS-CoV-2 infection and without. Random sampling of patients with stroke and laboratory-confirmed coronavirus infection SARS-CoV-2 (50 patients) was analyzed retrospectively. The control group consisted of 49 patients with stroke who did not have COVID-19. Patients in both groups were comparable by age, sex, rate of variation and type of stroke, localization of stroke and rating on the Rankin scale before the disease. The results showed that diabetes mellitus significantly more often (more than twice) occurred in stroke patients with COVID-19 (16%) in comparison with the control (7%). Atherosclerosis of brachiocephalic arteries prevailed in acute stroke patients without COVID-19 (88%). The mortality rate in acute stroke patients with COVID-19 was higher (22%) than among those without this infection (6%). At the same time, patients without a combination with COVID-19 had more severe disability on the Rankin scale three points (moderate disability) while patients with COVID-19 were discharged with two points on the Rankin scale (slight disability). Probably, this is since SARS-CoV-2 infection more often led to the lethal oucome in patients with more severe stroke and the survived patients were less disabled. Probably in increased samples these differences will be reversed. Thus, this research confirmed data that the association of stroke and COVID-19 significantly worsens clinical outcomes of stroke (2 tables, bibliography: 10 refs)

726 Outcomes of ischaemic stroke in patients with atrial fibrillation

Aims Atrial fibrillation (AF) increases the risk of ischaemic strokes (IS) and is associated with a more severe neurological impairment. We sought to investigate whether AF also impacts the neurological recovery and whether patients with AF have a different response to the treatment. Methods and results Data of patients admitted to the Stroke Unit of our institution from January to December 2020 were retrieved from the local database. The stroke severity was calculated by mean of the National Institute of Health Stroke Scale (NIHSS) at hospital admission (NIHSSad), at 24 h (NIHSS24) and at discharge (NIHSSdis). The functional capacity was assessed by the modified Rankin score (mRS). As for the neurological recovery, this was assessed by the delta NIHSS at 24 h (Δ24 = NIHSS24−NIHSSad) and at discharge (Δdis = NIHSSdis−NIHSSad). Out of 545 patients with IS 64 had known history of AF or were admitted with AF. Patients with AF had higher NIHSSad (13.9 ± 7 vs. 8.5 ± 7; P &lt; 0.001) and NIHSS24 (9.6 ± 8 vs. 6.4 ± 7; P = 0.007) than patients without, however the neurological improvement was greater (Δdis −7.4 ± 9 vs. −3.4 ± 6; P = 0.002), indeed the NIHSSdis was similar (4.2 ± 5 vs. 4.2 ± 6; P = 0.98). Patients with AF also had a more impaired mRS before the ischaemic event and at discharge (2.4 ± 1.9 vs. 1.6 ± 1.7, P = 0.02; 1.2 ± 1.2 vs. 0.4 ± 0.9, P &lt; 0.001). Among AF patients with CHADVASC ≥ 3, 34% of them were taking antiplatelet therapy, 31% anticoagulants, and 35% didn’t take any therapy. Of interest, no differences in the NIHSSad nor in the NIHSSdis were found between them and neither in the Δdis. As for the treatment of AF patients, no differences in the neurological recovery were observed between those treated with intravenous thrombolysis and those not treated at all (Δdis 2.8 ± 5 vs. 2.8 ± 8, P = 1), whereas the Δdis was significantly higher in patients treated with mechanical thrombectomy (−11.7 ± 7, P = 0.007). Conclusions Patients with AF experience more severe stroke, however the neurological recovery is greater than in patients without the arrhythmia. The treatment with antiplatelets or anticoagulants before the event does not reduce the severity of the stroke and does not influence the improvement of the NIHSS at discharge. The mechanical thrombectomy is more effective in reducing the neurological impairment.

A register-based study comparing planned rehabilitation following acute stroke in 2011 and 2017

This cross-sectional, register-based study aimed to explore patterns of planned rehabilitation at discharge from stroke units in Sweden in 2011 and 2017 and identify explanatory variables for planned rehabilitation. Multivariable binary logistic regression was used to identify variables that could explain planned rehabilitation. There were 19,158 patients in 2011 and 16,508 patients in 2017 with stroke, included in the study. In 2011, 57% of patients were planned for some form of rehabilitation at discharge from stroke unit, which increased to 72% in 2017 (p < 0.001). Patients with impaired consciousness at admission had increased odds for planned rehabilitation (hemorrhage 2011 OR 1.43, 95% CI 1.13–1.81, 2017 OR 1.66, 95% CI 1.20–2.32), (IS 2011 OR 1.21, 95% CI 1.08–1.34, 2017 OR 1.49, 95% CI 1.28–1.75). Admission to a community hospital (hemorrhage 2011 OR 0.56, 95% CI 0.43–0.74, 2017 OR 0.39, 95% CI 0.27–0.56) (IS 2011 OR 0.63, 95% CI 0.58–0.69, 2017 OR 0.54, 95% CI 0.49–0.61) or to a specialized non-university hospital (hemorrhage 2017 OR 0.66, 95% CI 0.46–0.94), (IS 2011 OR 0.90, 95% CI 0.82–0.98, 2017 OR 0.76, 95% CI 0.68–0.84) was associated with decreased odds of receiving planned rehabilitation compared to admission to a university hospital. As a conclusion severe stroke was associated with increased odds for planned rehabilitation and patients discharged from non-university hospitals had consistently decreased odds for planned rehabilitation.