Cerebrovascular Diseases Extra最新文献

The burden of stroke in Sri Lanka is high and steadily increasing. Accurate estimation of the burden is hampered by a paucity of epidemiological data. More neurologists, stroke units, facilities for modern treatments and multi-disciplinary rehabilitation services are urgently needed. Essential drugs for risk factor control and secondary prevention are available in many hospitals. Aggressive preventive strategies and promoting stroke awareness are the best ways to minimise the stroke burden in Sri Lanka.

Increasing incidence of stroke and lack of infrastructure in both urban and rural areas needs immediate attention in Pakistan. There is a high proportion of young stroke with poor stroke outcomes. Acute stroke care is scarce in Pakistan due to the small number of neurologists (1 neurologist per 1 million population), few stroke units, and limited availability of alteplase (recombinant tissue plasminogen activator) in the country.

Background: The impact of gender on acute ischemic stroke, in terms of presentation, severity, etiology, and outcome, is increasingly getting recognized. Here, we analyzed the gender-related differences in etiology and outcome of ischemic stroke in South India.

Methods: Patients with first ever ischemic stroke within 1 week of onset presenting to the Comprehensive Stroke Care Centre, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, India, were included in our study. Clinical and risk factor profile was documented. The stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS) at onset, and stroke subtype classification was done using Trial of Org 10172 in Acute Ischemic Stroke criteria. The 3-month functional outcome was assessed using the modified Rankin Scale (mRS) with excellent outcome defined as an mRS ≤2.

Results: Of the 742 patients, 250 (33.7%) were females. The age, clinical profile, and rate of reperfusion therapies did not differ between the genders. Women suffered more severe strokes (mean NIHSS 9.5 vs. 8.4, p = 0.03). While large artery atherosclerosis was more common in men (21.3% vs. 14.8%, p = 0.03), cardioembolic strokes secondary to rheumatic heart disease were more common in women (27.2% vs. 19.7%, p = 0.02). Men had a better 3-month functional outcome compared to women (68.6% vs. 61.2%, p = 0.04), but was not statistically significant after adjusting for confounders.

Conclusion: Our data, from a single comprehensive stroke unit from South India, suggest that stroke in women are different, yet similar in many ways to men. Guideline-based treatment can result in comparable short-term outcomes, irrespective of admission stroke severity.

Objective: Patients submitted to carotid artery endarterectomy (CEA) have a long-term risk of major adverse cardiovascular events (MACE) of 6-9% at 2 years. Hematological parameters have been shown to have a predictive function in atherosclerotic diseases, namely the red blood cell distribution width-coefficient of variation (RDW-CV). This parameter has been associated with worse outcomes such as myocardial infarction (MI), stroke, and all-cause mortality. This study aims to evaluate the potential role of preoperative hematologic parameters such as RDW-CV in predicting perioperative and long-term cardiovascular adverse events and mortality in patients submitted to CEA.

Methods: From January 2012 to January 2019, 180 patients who underwent CEA with regional anesthesia in a tertiary care and referral center were selected from a prospective cohort database. Blood samples were collected preoperatively 2 weeks before admission, including a full blood count. The primary outcome included long-term MACE. Secondary outcomes included all-cause mortality, stroke, MI, acute heart failure, and major adverse limb events (MALE).

Results: At baseline, 27.2% of patients had increased RDW-CV. Increased RDW-CV was independently associated with baseline hemoglobin (adjusted odds ratio [aOR] 0.715, 95% CI 0.588-0.869, p = 0.001) and atrial fibrillation (aOR 4.028, 95% CI 1.037-15.639, p = 0.001). After a median follow-up of 50 months, log-rank univariate analysis of RDW-CV demonstrated a significant association between increased RDW-CV and long-term all-cause mortality (log-rank <0.001), MACE (log-rank <0.001), and MI (log-rank = 0.017). After multivariate Cox regression analysis, increased RDW-CV was associated with increased long-term mortality (adjusted hazard ratio [aHR] 2.455, 95% CI 1.231-4.894, p = 0.011) and MACE (aHR 2.047, 95% CI 1.202-3.487, p = 0.008). A decreased hemoglobin to platelet ratio (aHR 2.650e-8, 95% CI 9.049e-15 to 0.078, p = 0.019) was also associated with all-cause mortality.

Conclusion: RDW is a widely available and low-cost marker that independently predicts long-term mortality, MACE, and MI after CEA. This biomarker could prove useful in assessing which patients would likely benefit from CEA in the long term.

Introduction: Severe SARS-CoV-2 infection induces COVID-19 along with venous thromboembolic occurrences particularly in intensive care units. For non-severe COVID-19 patients affected by neurovascular diseases, the prevalence of deep venous thrombosis (DVT) is unknown. The aim of our study was to report data obtained after systematic Doppler ultrasound scanning (DUS) of lower limbs in such patients.

Methods: Between March 20 and May 2, 2020, the deep venous system of 13 consecutive patients diagnosed with neurovascular diseases and non-severe COVID-19 was investigated with a systematic bedside DUS.

Results: Thirteen patients were enrolled in the study including 9 acute ischaemic strokes, 1 occlusion of the ophthalmic artery, 1 transient ischaemic attack, 1 cerebral venous thrombosis and 1 haemorrhagic stroke. On admission, the median National Institute of Health Stroke Scale (NIHSS) score was of 6 (IQR, 0-20). During the first week after admission, and despite thromboprophylaxis, we found a prevalence of 38.5% of asymptomatic calves' DVT (n = 5). One patient developed a symptomatic pulmonary embolism and 2 other patients died during hospitalization. The outcome was positive for the other patients with a discharge median NIHSS score of 1 (IQR, 0-11).

Discussion/conclusion: Despite thromboprophylaxis, systematic bedside DUS showed a high prevalence (38.5%) of asymptomatic DVT in non-severe COVID-19 patients suffering from a neurovascular disease. In the absence of a reliable marker of DVT, we suggest that this non-invasive investigation could be an interesting tool to monitor peripheral venous thrombotic complications in such patients.

Introduction: Low cerebral blood flow can affect cognition in patients with high-grade asymptomatic internal carotid artery stenosis. Current clinical algorithms use stroke risk to determine which patients should undergo revascularization without considering cognitive decline. Although correlations between low-flow and cognitive impairment have been reported, it is not known whether a threshold exists below which such a correlation expresses itself. Such information would be critical in treatment decisions about whether to intervene in patients with high-grade carotid artery stenosis who are at risk for cognitive decline.

Objective: To determine how reduced blood flow correlates with lower cognitive scores.

Methods: Patients with ≥80% unilateral internal carotid artery stenosis with no history of stroke were recruited from inpatient and outpatient practices at a single, large, comprehensive stroke center. Patients underwent bilateral insonation of middle cerebral arteries with standard 2-Hz probes over the temporal windows with transcranial Doppler. Cognitive assessments were performed by an experienced neuropsychologist using a cognitive battery comprising 14 standardized tests with normative samples grouped by age. Z-scores were generated for each test and averaged to obtain a composite Z-score for each patient. Multivariable linear regression examined associations between mean flow velocity (MFV) and composite Z-score, adjusting for age, education, and depression. The Davies test was used to determine if there was a breakpoint for a non-zero difference in slope of a segmented relationship over the range of composite Z-score values.

Results: Forty-two patients with unilateral high-grade internal carotid artery stenosis without stroke were enrolled (26 males, age = 74 ± 9 years, education = 16 ± 3 years). Average composite Z-score was -0.31 SD below the age-specific normative mean (range -2.8 to +1.2 SD). In linear regression adjusted for age, education, and depression, MFV correlated with cognitive Z-score (β = 0.308, p = 0.043). A single breakpoint in the range of composite Z-scores was identified at 45 cm/s. For MFV <45 cm/s, Z-score decreased 0.05 SD per cm/s MFV (95% CI: 0.01-0.10). For MFV >45 cm/s, Z-score change was nonsignificant (95% CI: -0.07 to 0.05).

Conclusions: In high-grade, asymptomatic carotid artery stenosis, cognitive impairment correlated linearly with lower flow in the hemisphere fed by the occluded internal carotid artery, but only below a threshold of MFV = 45 cm/s. Identifying a hemodynamic threshold for cognitive decline using a simple, noninvasive method may influence revascularization decision-making in otherwise "asymptomatic" carotid disease.

Background and purpose: Cardioembolic stroke due to paroxysmal atrial fibrillation (AF) may account for 1 out of 4 cryptogenic strokes (CS) and transient ischemic attacks (TIAs). The purpose of this pilot study was to search for biomarkers potentially predicting incident AF in patients with ischemic stroke or TIA.

Methods: Plasma samples were collected from patients aged 18 years and older with ischemic stroke or TIA due to AF (n = 9) and large artery atherosclerosis (LAA) with ipsilateral carotid stenosis (n = 8) and age- and sex-matched controls (n = 10). Analyses were performed with the Olink technology simultaneously measuring 184 biomarkers of cardiovascular disease. For bioinformatics, acquired data were analyzed using gene set enrichment analysis (GSEA). Selected proteins were validated using ELISA. Individual receiver operating characteristic (ROC) curves and odds ratios from logistic regression were calculated. A randomForest (RF) model with out-of-bag estimate was applied for predictive modeling.

Results: GSEA indicated enrichment of proteins related to inflammatory response in the AF group. Interleukin (IL)-6, growth differentiation factor (GDF)-15, and pentraxin-related protein PTX3 were the top biomarkers on the ranked list for the AF group compared to the LAA group and the control group. ELISA validated increased expression of all tested proteins (GDF-15, PTX3, and urokinase plasminogen activator surface receptor [U-PAR]), except for IL-6. 19 proteins had the area under the ROC curve (AUC) over 0.85 including all of the proteins with significant evolution in the logistic regression. AUCs were very discriminant in distinguishing patients with and without AF (LAA and control group together). GDF-15 alone reached AUC of 0.95. Based on RF model, all selected participants in the tested group were classified correctly, and the most important protein in the model was GDF-15.

Conclusions: Our results demonstrate an association between inflammation and AF and that multiple proteins alone and in combination may potentially be used as indicators of AF in CS and TIA patients. However, further studies including larger samples sizes are needed to support these findings. In the ongoing NOR-FIB study, we plan further biomarker assessments in patients with CS and TIA undergoing long-term cardiac rhythm monitoring with insertable cardiac monitors.

Objective: Our study aims to evaluate the impact of a stay-at-home order on stroke metrics during the 2019-novel coronavirus (COVID-19) pandemic.

Methods: Data on baseline characteristics, stroke subtype, initial National Institutes of Health Stroke Scale (NIHSS) score, the time between last known well (LKW) to emergency department (ED) arrival, tissue plasminogen activator (tPA) administration, the involvement of large vessel occlusion (LVO), and whether mechanical thrombectomy (MT) was pursued in patients with acute stroke were extracted from 24 March to 23 April 2020 (the time period of a stay-at-home order was placed due to the COVID-19 pandemic as the study group) at a tertiary care hospital in West Michigan, USA, compared with data from 24 March to 23 April 2019 (control group).

Results: Our study demonstrated a reduction in cases of acute ischemic stroke (AIS), although this did not reach statistical significance. However, there was an increase in hemorrhagic stroke (7.5% controls vs. 19.2% study group). The age of stroke patients was significantly younger during the period of the stay-at-home order compared to the control group. We identified a significant overall delay of ED arrivals from LKW in the study group. Additionally, an increased number of AIS patients with LVO in the study group (34.8%) was found compared to the control group (17.5%). A significantly increased number of patients received MT in the study group. Additionally, 11 patients were COVID-19 PCR-positive in the study group, 10 with AIS and only 1 with hemorrhagic stroke. Patients with COVID-19 had a high incidence of atrial fibrillation and hyperlipidemia. One AIS patient with COVID-19 rapidly developed cytotoxic edema with corresponding elevated inflammatory biomarkers. No statistical significance was noted when stroke subtype, LVO, and MT groups were compared.

Conclusions: There was a trend of decreasing AIS admissions during the COVID-19 pandemic. There was also a significantly increased number of AIS patients with LVO who received MT, especially those with COVID-19. We conclude that cytokine storm resulting from SARS-CoV-2 infection might play a role in AIS patients with COVID-19.

Background: Stroke has been found to have a seasonally varying incidence; blood pressure, one of its risk factors, is influenced by humidity and temperature. The relationship between the incidence of stroke and meteorological parameters remains controversial.

Objective: We investigated whether meteorological conditions are significant risk factors for stroke, focusing on the fluctuation of weather elements that triggers the onset of stroke.

Methods: We collected ambulance transportation data recorded by emergency personnel from Gifu Prefecture. We included cases where the cause of the transportation was stroke and excluded cases of trauma. We combined these data with meteorological data as well as data on average temperature, average air pressure, and humidity provided publicly by the Japan Meteorological Agency. Our target period was from January 2012 to December 2016.

Results: In the 5-year target period, there were 5,501 occurrences of ambulance transportation due to stroke. A seasonal tendency was confirmed, since ambulance transportation for stroke occurred more frequently at low temperatures (p < 0.001). Temperature (odds ratio: 0.91; p < 0.001) and humidity change (odds ratio: 1.50; p = 0.016) were identified as risk factors for ambulance transportation due to stroke. An increase in temperature incurs a lower risk than a decrease (odds ratio: 0.58; p = 0.09), although there is no statistically significant difference.

Conclusions: Meteorological effects on the frequency of ambulance transportation due to stroke were studied. A lower temperature and radical humidity change were identified as risk factors for ambulance transportation due to stroke, and a decrease in temperature was also associated. We speculate on the possibilities of using meteorological data to optimize the assignment of limited medical resources in medical economics.