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Background: Subarachnoid haemorrhage (SAH) accounts for 5-10% of strokes and its prognosis may be influenced by different complications, including delayed cerebral ischaemia (DCI). The pathophysiology of DCI is complex and still unknown. Many different mechanisms may contribute to the occurrence of DCI. Arterial stiffness (AS), a well-known risk factor for cardiovascular events, also associated with the development and rupture of cerebral aneurysms, may represent a novel contributing risk factor. The aim of our study was to investigate a possible link between AS and DCI after SAH., Method: Fifty-nine (59) patients with SAH (age [mean±standard deviation], 62±12 years) underwent neuroimaging examination, and 24-hour heart rate and blood pressure monitoring, including AS index (ASI) measurement., Results: Of 59 patients, DCI occurred in 12. ASI was significantly higher in patients with DCI than in patients without it (0.70±0.1 vs 0.62±0.1; p=0.03). ASI was a significant predictor for DCI (odds ratio [for an increase of 0.20 points in ASI], 5.99; 95% confidence interval, 1.23-29.22; p=0.03)., Conclusions: Arterial stiffness index is a simple and inexpensive tool that is able to predict the risk of DCI in patients with SAH. This marker can impact on intensive care unit monitoring, early recognition, and treatment, contributing to optimal acute management of patients with SAH., (Copyright © 2020 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: During Covid-19 pandemic, the Italian National Healthcare Service has faced increasing pressure, especially in Northern Italy. Even in less-affected regions, such as Tuscany, the changes in the healthcare system to prevent Covid-19 spread resulted in difficulty in treating time-dependent disorders like ischemic stroke rapidly., Objective: The aim of our study was to assess the outcome after acute ischemic stroke treatments during the Covid-19 spread in comparison with a similar period of the previous year in Siena-Hospital (Hub center in the South-East Tuscany)., Methods: We enrolled all patients admitted to Siena-Hospital for ischemic stroke and submitted them to acute treatments (intravenous and/or mechanical thrombolysis) between February 21st and May 18th, 2020 (study group, n:38) and compared the results with ischemic strokes acutely treated in a similar period in 2019 (control group, n:39). The modified Rankin scale score was assessed at 90 days to evaluate a 3-month clinical outcome., Results: In the study group, the time from symptoms onset to hospital arrival and the door-to-groin puncture time were significantly more prolonged than in the control group. In moderate-severe strokes, the 3-month mortality was significantly higher in the study group (31% vs. 6%; p=0.01), and the number of patients with poor functional outcomes was significantly higher in the study group (73% vs. 44%; p=0.03)., Conclusion: During the lockdown period due to Covid-19 pandemic, patients with acute ischemic stroke had a worse prognosis. These findings suggest the need to improve the health system organization to guarantee an appropriate treatment during the pandemic, including the patients that are not affected by Covid-19., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: About one third of ischaemic strokes are classified as embolic strokes of undetermined source (ESUS). A silent atrial fibrillation (AF) may play a pathogenic role in these strokes and P wave dispersion (PWD), representing an electrocardiographic (ECG) predictor for paroxysmal AF, thereby a potential marker of covert cardioembolism, was found to be increased in cryptogenic stroke. Furthermore, current evidence links AF to inflammation: inflammatory markers, such as high-sensitive C-reactive protein (hsCRP), have been related to the development and persistence of AF, possibly by promoting atrial remodelling. The aim of this study was to evaluate whether a relationship between PWD and hsCRP in patients with ESUS exists, in order to highlight a possible role for inflammation in the atrial electric remodelling, that predisposes to AF., Methods: We enrolled 174 patients (91 males, 83 females; mean age 69±13years) with ESUS. All patients underwent neuroimaging examination, arterial ultrasound examination, echocardiography and ECG. P wave dispersion and hsCRP were measured in all subjects., Results: A significant positive correlation was found between hsCRP and PWD (Spearman r: 0.35, p<0.0001). In patients with high PWD (>40 msec; n=102), hsCRP was three-fold higher than in patients with normal PWD (≤40 msec; n=72)(1.57±2.9 vs 0.42±0.4mg/dl, p=0.0005)., Conclusions: Our results show increased hsCRP levels in cryptogenic stroke patients with high PWD. These findings provide support for the hypothesis that systemic inflammation plays a role in a fraction of patients with ESUS, by increasing AF risk via atrial electric remodelling., (Copyright © 2018 Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) and the Cardiac Society of Australia and New Zealand (CSANZ). Published by Elsevier B.V. All rights reserved.)

Background: Cryptogenic stroke (CS) represents 25% of ischemic strokes. Especially after CS, the detection of atrial fibrillation (AF) is important because it provides clues to the mechanism of stroke. However, the relationship between AF and stroke appears more complex than a simple cause-effect mechanism, suggesting that the association between AF and stroke may be due to other systemic and atrial factors including systemic inflammation that may lead to atrial remodeling and subsequent atrial cardiopathy., Objective: The aim of this study was to evaluate the relationship among different electrocardiographic parameters, inflammatory markers and in-hospital AF occurrence after acute CS., Methods: 222 patients with CS underwent 12-lead resting ECG at admission and 7-day in-hospital ECG monitoring. The following indices were evaluated: P-wave dispersion (PWD), P-wave index, P-wave axis, atrial size and high-sensitivity-C reactive protein (CRP)., Results: AF was detected in 44 patients. AF-group had significantly higher PWD, P-wave index, PR interval, CRP and greater frequency of abnormal P-wave axis in comparison with no-AF group. There was a significant correlation between CRP and PWD (r=0.28). By using the mediation analysis, performed according to the "bootstrapping" method, we found that PWD is a significant mediator variable of the relationship between CRP and AF occurrence, accounting for 40% of the association., Conclusions: In cryptogenic stroke, high PWD is partly due to systemic inflammation that increases AF risk possibly via atrial electric remodeling. These findings could also suggest inflammation as a possible therapeutic target in order to prevent atrial electrical alterations and finally AF occurrence in CS., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Cerebral collateral circulation is a network of arterial anastomotic channels capable of providing supplementary perfusion to brain regions in response to ischemic insults. Arterial stiffness could negatively affect collateral circulation development, by means of its effects on the structural intracerebral vasculature., Objective: The aim of our study is to investigate a possible link between arterial stiffness and presence of collateral circulation in patients with acute ischemic stroke., Methods: 113 patients (age: 74±12 years) with acute anterior ischemic stroke underwent neuroimaging examination and 24-hour blood pressure monitoring. Arterial Stiffness Index (ASI) and Pulse Pressure (PP) were assumed as surrogate measures of arterial stiffness. Collateral circulation was evaluated by means of the collateral grading system that was scored on a scale of 0-3., Results: According to TOAST classification, etiology of ischemic stroke was the following: Large-Artery Atherosclerosis (LAA)(n:41), Cardioembolism (CE)(n:60), Undetermined Etiology (UE)(n:12). Logistic regression analysis showed that good predictors of poor collaterals were ASI (OR 2.78 for 0.1, 95% CI:1.19-6.50, p=0.01) and PP (OR 1.81 for 10 mmHg, 95% CI:1.01-3.22, p=0.04) in stroke from LAA., Conclusion: Our results suggest that, in patients with ischemic stroke from LAA, arterial stiffness may contribute to the impairment of collateral circulation and, therefore, it could reduce the beneficial effects of acute treatments., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)

Background: Hemorrhagic transformation (HT) is a multifactorial phenomenon and represents a possible complication of ischemic stroke, especially after thrombolytic treatment. Increased arterial stiffness has been associated with intracranial hemorrhage, but there is no evidence of association with HT after thrombolytic therapy. The aim of our study is to investigate a possible link between arterial stiffness and HT occurrence after thrombolytic therapy in patients with ischemic stroke., Methods: We enrolled 258 patients (135 males, 123 females; mean age: 73±12years) with acute ischemic stroke undergoing intravenous thrombolysis or/and mechanical thrombectomy. All stroke patients underwent neuroimaging examination, 24-h heart rate and blood pressure monitoring and brain CT-scan after 24-72h to evaluate HT occurrence. The linear regression slope of diastolic on systolic blood pressure was obtained and assumed as a global measure of arterial compliance, and its complement (1 minus the slope), named arterial stiffness index (ASI), has been taken as a measure of arterial stiffness., Results: Out of 258, HT occurred in 55 patients. ASI was significantly higher in patients with HT than in patients without HT (0.70±0.12 vs 0.62±0.14, p<0.001). Logistic regression model showed ASI as independent predictors of HT (OR: 1.9, 95% CI: 1.09-3.02, for every 0.2 increase of ASI): in particular, OR was 5.2 (CI: 2.22-12.24) when ASI was >0.71, in comparison with ASI lower than 0.57., Conclusions: Our results point to arterial stiffness as a novel independent risk factor for HT after ischemic stroke treated with thrombolysis, suggesting a particularly high bleeding risk when ASI is >0.71., (Copyright © 2017 Elsevier B.V. All rights reserved.)

Background: In the general population the leading cause of cardioembolic stroke is atrial fibrillation (AF). A silent AF is also the possible cause of many cryptogenic strokes. P wave dispersion (PWD), a predictor of AF, has been proposed as a marker of silent AF occurrence in these strokes. PWD correlates with high-sensitive C-reactive protein levels reflecting the role of inflammation in promoting a slowed and inhomogeneous atrial conduction. Statins have a multitude of additional effects beyond lipid lowering, in particular anti-inflammatory effects that may influence atrial conduction., Objective: The aim of this study was to evaluate the effects of previous statin use on PWD in patients with cryptogenic stroke, in order to highlight a possible role for statins in preventing atrial conduction alterations that predispose to AF., Method: We enrolled 131 patients (67 males, 64 females; mean age 69±13 years) with cryptogenic stroke. All patients underwent neuroimaging examination, arterial ultrasound examination, echocardiography and ECG. PWD was measured in all subjects., Results: Patients previously treated with statins (n: 34) had lower PWD and P index values in comparison with no-statin group (41.7±12.2 vs 48.7±15.2 ms, p=0.01, and 14.2±3.7 vs 16.5±5.3 ms, p=0.02, respectively)., Conclusions: Our results show lower PWD values in cryptogenic stroke patients previously treated with statins. These findings provide support to the hypothesis that statins may play a role in modulating atrial electrophysiological and structural properties, preventing the occurrence of a slowed and heterogeneous atrial conduction and finally, reducing the occurrence of AF., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)