Current neurovascular research最新文献

Objective: Nearly half of Acute Ischemic Stroke (AIS) patients failed to achieve favorable outcomes despite successful reperfusion treatment. This phenomenon is referred to as Futile Recanalization (FR). Screening patients at risk of FR is vital for stroke management. Previous studies reported the diagnostic value of alkaline phosphatase (ALP) levels in certain aspects of stroke prognosis. However, the association between serum ALP level and FR among AIS patients treated with thrombectomy remained unclear.

Methods: We screened stroke patients who underwent thrombectomy at our center from January 2017 to June 2021, and those who achieved successful reperfusion (modified Thrombolysis in Cerebral Infarction score=3) were ultimately analyzed. Demographic information, vascular risk factors, and laboratory test results were collected at admission. The 3-month unfavorable outcome was defined as a modified Rankin Scale score of 3 to 6. The effect of ALP levels on FR was investigated with a logistic regression model.

Results: Of 788 patients who underwent thrombectomy, 277 achieved successful reperfusion. Among them, 142 patients (51.3%) failed to realize favorable outcomes at 3 months. After adjusting for confounding variables, higher ALP levels (p =0.002) at admission were independently associated with unfavorable outcomes at three months. Adding ALP values to conventional risk factors improved the performance of prediction models for FR.

Conclusion: The current study found that the serum ALP levels at admission emerged as a potential biomarker for futile reperfusion in stroke patients undergoing thrombectomy. Further studies are warranted to confirm the clinical applicability of ALP level for futile recanalization prediction.

Background: Bilirubin plays a crucial role in the pathophysiological processes of strokes. However, the relationship between serum bilirubin levels and the prognosis of aneurysmal subarachnoid hemorrhage (aSAH) remains unexplored. This study aims to investigate the association between serum bilirubin levels and the mortality rate of aSAH patients.

Methods: 695 aSAH patients were included to analyze the relationship between direct bilirubin (DBil), indirect bilirubin (IDBil), total bilirubin (TBil), and mortality. The univariate and multivariate logistic regression were conducted to discover risk factors for the mortality of aSAH. The restricted cubic spline (RCS) was used to show the correlation between DBil, IDBil, TBil, and mortality. A logistic regression predictive model was developed by incorporating significant factors in the multivariate logistic regression. The receiver operating characteristic (ROC) curve was plotted to evaluate the predictive value of serum bilirubin and the developed predictive model.

Results: 139 aSAH patients suffered death, with a mortality of 20.0%. Non-survivors had older age (p =0.007), lower GCS (p <0.001), higher Hunt Hess (p <0.001), and mFisher (p <0.001). Both DBil (p <0.001) and TBil (p =0.011) were significantly higher among non-survivors. While the IDBil did not show a difference between survivors and non-survivors. The multivariate analysis found age (p =0.111), Glasgow Coma Scale (p =0.005), white blood cell (p <0.001), glucose (p =0.004), DBil (p =0.001), delayed cerebral ischemia (p <0.001) were significantly related with the mortality of aSAH. A logistic regression predictive model for mortality was developed incorporating these five factors, which had an area under the ROC curve (AUC) of 0.876. The AUC of DBil, IDBil, and TBil for predicting mortality was 0.607, 0.570, and 0.529, respectively.

Conclusion: Serum DBil level is positively associated with the mortality risk of aSAH. The predictive model incorporating DBil is beneficial for clinicians to evaluate the mortality risk of aSAH and adopt personalized therapeutics.

Objective: The aim of this study was to explore the primary changes in corneal nerve fiber structure and its influencing factors in patients with primary glaucoma.

Method: A retrospective analysis was conducted in this study. A total of 51 patients with primary glaucoma who were diagnosed and treated in our hospital from March 2020 to March 2022 were selected as the research objects and designated as the glaucoma group. In addition, 51 patients with normal eyes were chosen as the control group. The characteristic changes of corneal nerve fibers, the thickness of the nerve fiber layer, and the number of ganglion cell complexes and dendritic cells were measured. Multivariate logistic regression analysis was performed to analyze the influencing factors of ganglion fiber structure change.

Result: Compared with the control group, the length of corneal nerve fibers and the density of corneal nerve fibers in the glaucoma group were significantly shortened, the number of branches was significantly reduced, the curvature was significantly increased, and the number of dendritic cells was significantly increased (P <0.05). Compared with the control group, the thickness of the upper, lower, nasal, temporal, and peripheral nerve fiber layers in the glaucoma group was obviously reduced (P <0.05). Compared with the control group, the thickness of the above inferior, nasal, temporal, and peripheral nerve fiber layers in the glaucoma group was significantly reduced (P <0.05). Compared with the control group, the above, below, and mean ganglion cell complex thickness in the glaucoma group was significantly reduced (P <0.05). Logistic regression analysis showed that intraocular pressure and the number of dendritic cells were risk factors for ganglion fiber structure change. In contrast, nerve fiber layer thickness and ganglion cell complex were protective factors for ganglion fiber structure change (P <0.05).

Conclusion: There were primary changes in the structure of corneal nerve fibers in patients with primary glaucoma, which were more slender, tortuous, and sparse, and the primary changes in nerve fiber structure could be affected by intraocular pressure, the number of dendritic cells, the thickness of the nerve fiber layer, and the ganglion cell complex.

Background: Mechanical thrombectomy (MT) is usually recommended for acute ischemic stroke (AIS) due to large vessel occlusion (LVO) within the time window (6 hours after the disease onset). However, poor prognosis in acute great vascular occlusive stroke after MT, which is not an uncommon occurrence, can be attributed to an absence of appropriate postoperative monitoring. Transcranial Doppler (TCD) ultrasound and quantitative electroencephalography (QEEG) offer the advantages of fast, convenient, and bedside examinations compared with conventional imaging techniques.

Objective: We aimed to analyze the predictive performance of clinical factors, Transcranial Doppler (TCD) ultrasound and quantitative electroencephalography (QEEG) for the prognosis of patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) at 90 days after discharge.

Method: Patients achieved revascularization through MT performed within 6 hours after the onset of AIS due to LVO were included. We use the data to build four predictive models of prognosis and compared the predictive performance measured by the area under the curve, sensitivity, and specificity.

Result: A total of 74 patients were included in the study. Among them, 47 patients had a poor prognosis (63.5%) on discharge, and 45 patients had a poor prognosis (60.8%) at 90 days after discharge. Independent predictors of poor prognosis at 90 days after discharge were identified as follows: age, NIHSS score on admission, PI on the affected/healthy side, and RAP. Among the four models built, AUC was the highest (reaching 0.831) when age was combined with NIHSS score on admission, TCD parameters (VD on the affected side, PI on the affected/healthy side), and QEEG parameter (RAP) for prognostic prediction. However, AUC of the four predictive models did not differ significantly (P>0.05).

Conclusion: Age, NIHSS score on admission, TCD parameters, and QEEG parameter were independent predictors of the prognosis at 90 days after discharge in patients receiving MT for AIS due to LVO in the anterior circulation. The model combining the above four parameters may be helpful for prognostic prediction in such patients.

Background: This study aims to explore the correlation between body composition, encompassing factors such as muscle mass and fat distribution, and gait performance during both single-task walking (STW) and dual-task walking (DTW) in patients diagnosed with cerebral small vessel disease (CSVD).

Methods: The data of hospitalized patients diagnosed with CSVD, including cadence, stride time, velocity and stride length, as well as information on variability, asymmetry and coordination during both STW and DTW, were assessed. The number of falls reported by each participant was also assessed.

Results: A total of 95 CSVD patients were assessed, and the results showed that individuals with low appendicular skeletal muscle mass (ASM), which includes both the low ASM group and the combination of low ASM and high body fat (BF) group, had reduced velocity or cadence, shortened stride length, and prolonged stride time across all walking modalities compared to the control group. Only the combination of the low ASM and high BF group exhibited a deterioration in the coefficient of variation (CV) for all basic parameters and the Phase Coordination Index (PCI) compared to the control group across all walking patterns. Conversely, patients in the high BF group displayed a decline in basic parameters, primarily during cognitive DTW. Concurrently, the high BF group showed a significant increase in the CV and the PCI compared to the control group only during cognitive DTW. Furthermore, regardless of gender, both ASM and BF independently correlated with the occurrence of falls.

Conclusions: CSVD patients with varying body compositions could allocate different levels of attention to their daily walking routines.

Background: High brain-derived neurotrophic factor (BDNF) concentrations have been found to be associated with a decreased risk of Alzheimer's disease (AD) in observational studies, but the causality for this association remains unclear. Therefore, we aimed to examine the association between genetically determined plasma BDNF levels and AD using a two-sample Mendelian randomization (MR) method.

Methods: Twenty single-nucleotide polymorphisms associated with plasma BDNF concentrations were identified as genetic instruments based on a genome-wide association study with 3301 European individuals. Summary-level data on AD were obtained from the International Genomics of Alzheimer's Project, involving 21,982 AD cases and 41,944 controls of European ancestry. To evaluate the relationship between plasma BDNF concentrations and AD, we employed the inverse-variance weighted method along with a series of sensitivity analyses.

Results: The inverse-variance weighted MR analysis showed that genetically determined BDNF concentrations were associated with a decreased risk of AD (odds ratio per SD increase, 0.91; 95% confidence interval, 0.86-0.96; p =0.001). The association between plasma BDNF concentrations and AD was further confirmed through sensitivity analyses using different MR methods, and MR-Egger regression suggested no directional pleiotropy for this association.

Conclusion: Genetically determined BDNF levels were associated with a decreased risk of AD, suggesting that BDNF was implicated in the development of AD and might be a promising target for the prevention of AD.

Objectives: To investigate the correlation between evening melatonin timing secretion, dim light melatonin onset (DLMO), and post-stroke depression (PSD) in acute ischemic stroke patients and their influence on the improvement of depressive symptoms.

Materials and methods: 120 patients with a recent magnetic resonance imaging confirmed stroke were included. Salivary melatonin samples were collected at 5 time points within 1 week after hospitalization (7 p.m.-11 p.m., 1 sample per hour). The circadian phase was defined by calculating DLMO secretion. Post-stroke depressive symptoms were evaluated by the 17-item Hamilton Rating Scale for Depression (HRSD) both on day 7 of hospitalization and 3 months after stroke. Patients were divided into PSD and non-PSD groups based on whether the acute phase HRSD score was ≥8. Similarly, patients were divided into the improved depressive symptoms (IDS) and no improvement in depressive symptoms (non-IDS) groups based on whether the HRSD score at 3 months was lower than at baseline. Neurological recovery at 3 months was assessed using the modified Rankin Scale (mRS).

Results: The difference in DLMO between PSD and non-PSD patients was not statistically significant (p =0.173). In the non-IDS group, there was a significant decrease in melatonin secretion at 10 p.m. (p =0.012), and DLMO was significantly later than in the IDS group (p =0.017). Logistic regression analysis showed that DLMO (OR 1.91, 95%CI:1.13-3.23, p = 0.016) was an independent risk factor for persistent no improvement in depressive symptoms, which was associated with a markedly worse prognosis (p <.001).

Conclusion: Our findings suggest possible interventions for the very early identification of non-IDS patients.

Background: The annualized recurrent stroke rate in patients with Embolic Stroke of Undetermined Source (ESUS) under antiplatelet therapy is around 4.5%. Only a fraction of these patients will develop atrial fibrillation (FA), to which a stroke can be attributed retrospectively. The challenge is to identify patients at risk of occult AF during follow-up.

Objective: This work aims to determine clinical factors and electrocardiographic and ultrasound parameters that can predict occult AF in patients with ESUS and build a simple predictive score applicable worldwide.

Methods: This is a single-center, registry-based retrospective study conducted at the stroke unit of Sahloul University Hospital, Sousse, Tunisia, between January 2016 and December 2020. Consecutive patients meeting ESUS criteria were monitored for a minimum of one year, with a standardized follow-up consisting of outpatient visits, including ECG every three months and a new 24-hour Holter monitoring in case of palpitations. We performed multivariate stepwise regression to identify predictors of new paroxysmal AF among initial clinical, electrocardiographic (ECG and 24-hour Holter monitoring) and echocardiographic parameters. The coefficient of each independent covariate of the fitted multivariable model was used to generate an integerbased point-scoring system.

Results: Three hundred patients met the criteria for ESUS. Among them, 42 (14%) patients showed at least one episode of paroxysmal AF during a median follow-up of two years. In univariate analysis, age, gender, coronary artery disease, history of ischemic stroke, higher NIHSS at admission and lower NIHSS at discharge, abnormal P-wave axis, prolonged P-wave duration, premature atrial contractions (PAC) frequency of more than 500/24 hours, and left atrial (LA) mean area of more than 20 cm² were associated with the risk of occurrence of paroxysmal AF. We proposed an AF predictive score based on (1.771 x NIHSS score at admission) + (10.015 x P-wave dispersion; coded 1 if yes and 0 if no) + (9.841x PAC class; coded 1 if ≥500 and 0 if no) + (9.828x LA class surface; coded 1 if ≥20 and 0 if no) + (0.548xNIHSS score at discharge) + 0.004. A score of ≥33 had a sensitivity of 76% and a specificity of 93%.

Conclusion: In this cohort of patients with ESUS, NIHSS at both admission and discharge, Pwave dispersion, PAC≥500/24h on a 24-hour Holter monitoring, and LA surface area≥20 cm² provide a simple AF predictive score with very reasonable sensitivity and specificity and is applicable almost worldwide. An external validation of this score is ongoing.

Background: Major depression has a complex and multifactorial etiology constituted by the interaction between genetic and environmental factors in its development.

Objective: The aim of this study was to evaluate the effects of sodium butyrate (SD) on epigenetic enzyme alterations in rats subjected to animal models of depression induced by maternal deprivation (MD) or chronic mild stress (CMS).

Methods: To induce MD, male Wistar rats were deprived of maternal care during the first 10 days of life. To induce CMS, rats were subjected to the CMS for 40 days. Adult rats were then treated with daily injections of SD for 7 days. Animals were subjected to the forced swimming test (FST), and then, histone deacetylase (HDAC), histone acetyltransferase (HAT), and DNA methyltransferase (DNMT) activities were evaluated in the brain.

Results: MD and CMS increased immobility time in FST and increased HDAC and DNMT activity in the animal brains. SD reversed increased immobility induced by both animal models and the alterations in HDAC and DNMT activities. There was a positive correlation between enzyme activities and immobility time for both models. HDAC and DNMT activities also presented a positive correlation between themselves.

Conclusion: These results suggest that epigenetics can play an important role in major depression pathophysiology triggered by early or late life stress and its treatment.