Implications for driving based on the risk of seizures after ischaemic stroke.

BACKGROUND: In addition to other stroke-related deficits, the risk of seizures may impact driving ability after stroke. METHODS: We analysed data from a multicentre international cohort, including 4452 adults with acute ischaemic stroke and no prior seizures. We calculated the Chance of Occurrence of Seizure in the next Year (COSY) according to the SeLECT2.0 prognostic model. We considered COSY<20% safe for private and <2% for professional driving, aligning with commonly used cut-offs. RESULTS: Seizure risks in the next year were mainly influenced by the baseline risk-stratified according to the SeLECT2.0 score and, to a lesser extent, by the poststroke seizure-free interval (SFI). Those without acute symptomatic seizures (SeLECT2.0 0-6 points) had low COSY (0.7%-11%) immediately after stroke, not requiring an SFI. In stroke survivors with acute symptomatic seizures (SeLECT2.0 3-13 points), COSY after a 3-month SFI ranged from 2% to 92%, showing substantial interindividual variability. Stroke survivors with acute symptomatic status epilepticus (SeLECT2.0 7-13 points) had the highest risk (14%-92%). CONCLUSIONS: Personalised prognostic models, such as SeLECT2.0, may offer better guidance for poststroke driving decisions than generic SFIs. Our findings provide practical tools, including a smartphone-based or web-based application, to assess seizure risks and determine appropriate SFIs for safe driving.

MocapMe: DeepLabCut-Enhanced Neural Network for Enhanced Markerless Stability in Sit-to-Stand Motion Capture.

This study examined the efficacy of an optimized DeepLabCut (DLC) model in motion capture, with a particular focus on the sit-to-stand (STS) movement, which is crucial for assessing the functional capacity in elderly and postoperative patients. This research uniquely compared the performance of this optimized DLC model, which was trained using 'filtered' estimates from the widely used OpenPose (OP) model, thereby emphasizing computational effectiveness, motion-tracking precision, and enhanced stability in data capture. Utilizing a combination of smartphone-captured videos and specifically curated datasets, our methodological approach included data preparation, keypoint annotation, and extensive model training, with an emphasis on the flow of the optimized model. The findings demonstrate the superiority of the optimized DLC model in various aspects. It exhibited not only higher computational efficiency, with reduced processing times, but also greater precision and consistency in motion tracking thanks to the stability brought about by the meticulous selection of the OP data. This precision is vital for developing accurate biomechanical models for clinical interventions. Moreover, this study revealed that the optimized DLC maintained higher average confidence levels across datasets, indicating more reliable and accurate detection capabilities compared with standalone OP. The clinical relevance of these findings is profound. The optimized DLC model's efficiency and enhanced point estimation stability make it an invaluable tool in rehabilitation monitoring and patient assessments, potentially streamlining clinical workflows. This study suggests future research directions, including integrating the optimized DLC model with virtual reality environments for enhanced patient engagement and leveraging its improved data quality for predictive analytics in healthcare. Overall, the optimized DLC model emerged as a transformative tool for biomechanical analysis and physical rehabilitation, promising to enhance the quality of patient care and healthcare delivery efficiency.

Hyperdense middle cerebral artery sign predicts favorable outcome in patients undergoing mechanical thrombectomy.

Non-contrast computer tomography detects the presence of hyperdense middle cerebral artery sign (HMCAS). Studies on the prognostic value of HMCAS among patients undergoing mechanical thrombectomy (MT) are conflicting. A retrospective analysis of consecutive patients with acute ischemic stroke due to middle cerebral artery occlusion, presenting with or without HMCAS, who underwent MT, was performed. We enrolled 191 patients (HMCAS +, n = 140; HMCAS -, n = 51). Prevalence of successful recanalization was significantly higher in patients with HMCAS than in those without HMCAS (92.1% versus 74.5%, p = 0.001). Patients with HMCAS had a better clinical outcome than those HMCAS - (54.3% versus 37.3%, p = 0.037, for three-month favorable outcome; 62.9% versus 39.3%, p = 0.004, for major neurological improvement at discharge; 8.6% versus 19.6%, p = 0.035, for in-hospital mortality; 14.3% versus 27.5%, p = 0.035, for intracranial hemorrhage; 2.9% versus 17.6%, p = 0.001, for symptomatic intracranial hemorrhage). Multivariate analyses confirmed that HMCAS represents an independent predictor of three-month favorable outcome (OR 2.48, 95% CI 1.10-5.58, p = 0.028), major neurological improvement at discharge (OR 2.40, 95% CI 1.09-5.20, p = 0.030), in-hospital mortality (OR 0.29, 95% CI 0.010-0.81, p = 0.018), presence of ICH (OR 0.49, 95% CI 0.25-0.97, p = 0.042) and presence of SICH (OR 0.16, 95% CI 0.04-0.63, p = 0.009). HMCAS presence predicts favorable outcome in patients undergoing MT. This result may indicate that hyperdense clots are more likely to respond to MT than isodense ones. This effect is mediated by reduction in hemorrhagic transformation.

A Deep Learning-Driven Self-Conscious Distributed Cyber-Physical System for Renewable Energy Communities.

The Internet of Things (IoT) is transforming various domains, including smart energy management, by enabling the integration of complex digital and physical components in distributed cyber-physical systems (DCPSs). The design of DCPSs has so far been focused on performance-related, non-functional requirements. However, with the growing power consumption and computation expenses, sustainability is becoming an important aspect to consider. This has led to the concept of energy-aware DCPSs, which integrate conventional non-functional requirements with additional attributes for sustainability, such as energy consumption. This research activity aimed to investigate and develop energy-aware architectural models and edge/cloud computing technologies to design next-generation, AI-enabled (and, specifically, deep-learning-enhanced), self-conscious IoT-extended DCPSs. Our key contributions include energy-aware edge-to-cloud architectural models and technologies, the orchestration of a (possibly federated) edge-to-cloud infrastructure, abstractions and unified models for distributed heterogeneous virtualized resources, innovative machine learning algorithms for the dynamic reallocation and reconfiguration of energy resources, and the management of energy communities. The proposed solution was validated through case studies on optimizing renewable energy communities (RECs), or energy-aware DCPSs, which are particularly challenging due to their unique requirements and constraints; in more detail, in this work, we aim to define the optimal implementation of an energy-aware DCPS. Moreover, smart grids play a crucial role in developing energy-aware DCPSs, providing a flexible and efficient power system integrating renewable energy sources, microgrids, and other distributed energy resources. The proposed energy-aware DCPSs contribute to the development of smart grids by providing a sustainable, self-consistent, and efficient way to manage energy distribution and consumption. The performance demonstrates our approach's effectiveness for consumption and production (based on RMSE and MAE metrics). Our research supports the transition towards a more sustainable future, where communities adopting REC principles become key players in the energy landscape.

2:1 ketogenic diet and low-glycemic-index diet for the treatment of chronic and episodic migraine: a single-center real-life retrospective study.

AIMS: The evidence supporting the efficacy of dietary preventive therapy in migraine is rising, particularly regarding the ketogenic diet. However, less evidence exists for the Low-Glycemic Index Diet and the 2:1 KD. This retrospective single-center real-life study aims to evaluate the efficacy of a 2:1 ketogenic diet and a Low-Glycemic-index Diet in chronic and high-frequency episodic migraine. METHODS: Sixty patients with high-frequency episodic and chronic migraine were treated with either a Low-Glycemic-index diet (39 patients) or a 2:1 (21 patients) ketogenic diet for three months. We collected data on the migraine frequency and intensity and the MIDAS and HIT-6 scores through the headache diary. Anthropometric measurements (BMI, fat mass, free fat mass, and weight) were also collected and analyzed similarly. Data obtained at the baseline and after three months of each diet were compared. RESULTS: Migraine intensity, frequency, MIDAS and HIT-6 scores, fat mass, weight, and BMI improved in both diet groups. CONCLUSIONS: Both diets are effective in reducing migraine symptoms and migraine-related disability.

The Possible Precipitating Role of SARS-CoV-2 in a Case of Late-Onset Hemichorea Due to a Hyperosmolar Hyperglycemic State: Case Report and Brief Literature Review.

Case report: An 83-year-old Italian female developed postural instability and gait disturbance associated with a concomitant hyperosmolar hyperglycemic state. Brain CT and MRI scans detected a lesion in the right putamen due to metabolic derangement. A month later, the patient started suffering from choreic movements along the left side of the body with brachio-crural distribution, approximately three weeks after SARS-CoV-2 infection. She was treated with tetrabenazine with complete resolution of the aberrant movements. Any attempt to reduce tetrabenazine caused a relapse of the symptoms. Discussion: In diabetic patients, choreic syndrome should be considered a rare event with a benign prognosis and favorable response to treatment. It is the result of a condition known as "diabetic striatopathy". The association of new-onset choreic movements, an episode of hyperglycemia, and a basal ganglia lesion is suggestive of this condition. Its pathophysiology remains unclear, and a lot of hypotheses are still debated. SARS-CoV-2 might have played a role in triggering the patient's motor symptoms. Conclusions: Our case report agrees with the general features of those reported in the literature about movement disorders in diabetic patients. The late onset of symptoms and the poor response to treatment seem to be atypical characteristics of the syndrome. Although speculative, we cannot exclude the role of SARS-CoV-2. This case can be added to the literature for further studies and reviews.

Seizures after Ischemic Stroke: A Matched Multicenter Study.

OBJECTIVE: The purpose of this study was to identify risk factors for acute symptomatic seizures and post-stroke epilepsy after acute ischemic stroke and evaluate the effects of reperfusion treatment. METHODS: We assessed the risk factors for post-stroke seizures using logistic or Cox regression in a multicenter study, including adults from 8 European referral centers with neuroimaging-confirmed ischemic stroke. We compared the risk of post-stroke seizures between participants with or without reperfusion treatment following propensity score matching to reduce confounding due to treatment selection. RESULTS: In the overall cohort of 4,229 participants (mean age 71 years, 57% men), a higher risk of acute symptomatic seizures was observed in those with more severe strokes, infarcts located in the posterior cerebral artery territory, and strokes caused by large-artery atherosclerosis. Strokes caused by small-vessel occlusion carried a small risk of acute symptomatic seizures. 6% developed post-stroke epilepsy. Risk factors for post-stroke epilepsy were acute symptomatic seizures, more severe strokes, infarcts involving the cerebral cortex, and strokes caused by large-artery atherosclerosis. Electroencephalography findings within 7 days of stroke onset were not independently associated with the risk of post-stroke epilepsy. There was no association between reperfusion treatments in general or only intravenous thrombolysis or mechanical thrombectomy with the time to post-stroke epilepsy or the risk of acute symptomatic seizures. INTERPRETATION: Post-stroke seizures are related to stroke severity, etiology, and location, whereas an early electroencephalogram was not predictive of epilepsy. We did not find an association of reperfusion treatment with risks of acute symptomatic seizures or post-stroke epilepsy. ANN NEUROL 2021;90:808-820.

Stress hyperglycemia is predictive of worse outcome in patients with acute ischemic stroke undergoing intravenous thrombolysis.

No study investigated the possible detrimental effect of stress hyperglycemia on patients affected acute ischemic stroke (AIS) undergoing intravenous thrombolysis (IVT). A new index, the glucose-to-glycated hemoglobin ratio (GAR), has been developed for assessing stress hyperglycemia. We retrospectively analyzed data from a prospectively collected database of consecutive patients admitted to the Udine University Hospital with AIS that were treated with IVT from January 2015 to December 2019. Four hundred and fourteen consecutive patients with AIS undergoing IVT entered the study. The patients were then stratified into four groups by quartiles of GAR (Q1-Q4). The higher GAR index was, the more severe stress hyperglycemia was considered. Prevalence of 3 months poor outcome (37.7% for Q1, 34% for Q2, 46.9% for Q3, and 66.7% for Q4, p for trend = 0.001), 3 months mortality (10.5% for Q1, 7.5% for Q2, 11.2% for Q3, and 27.1% for Q4, p for trend = 0.001), and symptomatic intracranial hemorrhage (0.9% for Q1, 0.9% for Q2, 5.1% for Q3, and 17.7% for Q4, p for trend = 0.001) was significant different among the four groups. AIS patients with severe stress hyperglycemia had a significantly increased risk of 3 months poor outcome (OR 2.43, 95% CI 1.14-5.22, p = 0.02), 3 months mortality (OR 2.38, 95% CI 1.01-5.60, p = 0.04), and symptomatic intracranial hemorrhage (OR 16.76, 95% CI 2.09-134.58, p = 0.008) after IVT. In conclusion, we demonstrated that stress hyperglycemia, as measured by the GAR index, is associated to worse outcome in AIS patients undergoing IVT.

Acute revascularization treatments for ischemic stroke in the Stroke Units of Triveneto, northeast Italy: time to treatment and functional outcomes.

It is not known whether the current territorial organization for acute revascularization treatments in ischemic stroke patients guarantees similar time to treatment and functional outcomes among different levels of institutional stroke care. We aimed to assess the impact of time to treatment on functional outcomes in ischemic stroke patients who received intravenous thrombolysis (IVT) alone, bridging (IVT plus thrombectomy), or primary thrombectomy in level 1 and level 2 Stroke Units (SUs) in Triveneto, a geographical macroarea in Northeast of Italy. We conducted an analysis of data prospectively collected from 512 consecutive ischemic stroke patients who received IVT and/or mechanical thrombectomy in 25 SUs from September 17th to December 9th 2018. The favorable outcome measures were mRS score 0-1 and 0-2 at 3 months. The unfavorable outcome measures were mRS score 3-5 and death at 3 months. We estimated separately the possible association of each variable for time to treatment (onset-to-door, door-to-needle, onset-to-needle, door-to-groin puncture, needle-to-groin puncture, and onset-to-groin puncture) with 3-month outcome measures by calculating the odds ratios (ORs) with two-sided 95% confidence intervals (CI) after adjustment for pre-defined variables and variables with a probability value ≤ 0.10 in the univariate analysis for each outcome measure. Distribution of acute revascularization treatments was different between level 1 and level 2 SUs (p < 0.001). Among 182 patients admitted to level 1 SUs (n = 16), treatments were IVT alone in 164 (90.1%), bridging in 12 (6.6%), and primary thrombectomy in 6 (3.3%) patients. Among 330 patients admitted to level 2 SUs (n = 9), treatments were IVT alone in 219 (66.4%), bridging in 74 (22.4%), and primary thrombectomy in 37 (11.2%) patients. Rates of excellent outcome (51.4% vs 45.9%), favorable outcome (60.1% vs 58.7%), unfavorable outcome (33.3% vs 33.8%), and death (9.8% vs 11.3%) at 3 months were similar between level 1 and 2 SUs. No significant association was found between time to IVT alone (onset-to-door, door-to-needle, and onset-to-needle) and functional outcomes. After adjustment, door-to-needle time ≤ 60 min (OR 4.005, 95% CI 1.232-13.016), shorter door-to-groin time (OR 0.991, 95% CI 0.983-0.999), shorter needle-to-groin time (OR 0.986, 95% CI 0.975-0.997), and shorter onset-to-groin time (OR 0.994, 95% CI 0.988-1.000) were associated with mRS 0-1. Shorter door-to-groin time (OR 0.991, 95% CI 0.984-0.998), door-to-groin time ≤ 90 min (OR 12.146, 95% CI 2.193-67.280), shorter needle-to-groin time (OR 0.983, 95% CI 0.972-0.995), and shorter onset-to-groin time (OR 0.993, 95% CI 0.987-0.999) were associated with mRS 0-2. Longer door-to-groin time (OR 1.007, 95% CI 1.001-1.014) and longer needle-to-groin time (OR 1.019, 95% CI 1.005-1.034) were associated with mRS 3-5, while door-to-groin time ≤ 90 min (OR 0.229, 95% CI 0.065-0.808) was inversely associated with mRS 3-5. Longer onset-to-needle time (OR 1.025, 95% CI 1.002-1.048) was associated with death. Times to treatment influenced the 3-month outcomes in patients treated with thrombectomy (bridging or primary). A revision of the current territorial organization for acute stroke treatments in Triveneto is needed to reduce transfer time and to increase the proportion of patients transferred from a level 1 SU to a level 2 SU to perform thrombectomy.

Stroke management during the coronavirus disease 2019 (COVID-19) pandemic: experience from three regions of the north east of Italy (Veneto, Friuli-Venezia-Giulia, Trentino-Alto-Adige).

BACKGROUND: Efficiency of care chain response and hospital reactivity were and are challenged for stroke acute care management during the pandemic period of coronavirus disease 2019 (COVID-19) in North-Eastern Italy (Veneto, Friuli-Venezia-Giulia, Trentino-Alto-Adige), counting 7,193,880 inhabitants (ISTAT), with consequences in acute treatment for patients with ischemic stroke. METHODS: We conducted a retrospective data collection of patients admitted to stroke units eventually treated with thrombolysis and thrombectomy, ranging from January to May 2020 from the beginning to the end of the main first pandemic period of COVID-19 in Italy. The primary endpoint was the number of patients arriving to these stroke units, and secondary endpoints were the number of thrombolysis and/or thrombectomy. Chi-square analysis was used on all patients; furthermore, patients were divided into two cohorts (pre-lockdown and lockdown periods) and the Kruskal-Wallis test was used to test differences on admission and reperfusive therapies. RESULTS: In total, 2536 patients were included in 22 centers. There was a significant decrease of admissions in April compared to January. Furthermore, we observed a significant decrease of thrombectomy during the lockdown period, while thrombolysis rate was unaffected in the same interval across all centers. CONCLUSIONS: Our study confirmed a decrease in admission rate of stroke patients in a large area of northern Italy during the lockdown period, especially during the first dramatic phase. Overall, there was no decrease in thrombolysis rate, confirming an effect of emergency care system for stroke patients. Instead, the significant decrease in thrombectomy rate during lockdown addresses some considerations of local and regional stroke networks during COVID-19 pandemic evolution.

Incidence of early poststroke seizures during reperfusion therapies in patients with acute ischemic stroke: An observational prospective study: (TESI study: "Trombolisi/Trombectomia e crisi Epilettiche precoci nello Stroke Ischemico").

INTRODUCTION: The aim of this study was to prospectively investigate the occurrence of early poststroke seizures (within 7 days of stroke) in patients undergoing reperfusion therapies (intravenous rtPA [recombinant tissue plasminogen activator] and/or endovascular thrombectomy) in comparison to those not undergoing these procedures. METHODS: Patients aged ≥18 years with acute ischemic stroke admitted in five Italian centers were prospectively recruited. Clinical data, details on stroke type and etiology, stroke treatment, and radiological data were collected. The frequency of early poststroke seizures was assessed, and predictive factors for their occurrence were evaluated. RESULTS: Five hundred and sixteen patients (262 in the reperfusion therapies group) were included. Stroke severity on admission and at discharge was higher among patients undergoing reperfusion therapies. Ten patients (3.8%) undergoing reperfusion therapies and 6 (2.3%) of those not receiving these treatments experienced early poststroke seizures (p = 0.45). There were no differences in any of the baseline characteristics between patients experiencing and those not experiencing early seizures. CONCLUSION: The incidence of early poststroke seizures was overall rare, and no significant differences emerged between patients receiving and those not receiving reperfusion therapies. This article is part of the Special Issue "Seizures and Stroke".

Container Migration in the Fog: A Performance Evaluation.

The internet of things (IoT) is essential for the implementation of applications and services that require the ability to sense the surrounding environment through sensors and modify it through actuators. However, IoT devices usually have limited computing capabilities and hence are not always sufficient to directly host resource-intensive services. Fog computing, which extends and complements the cloud, can support the IoT with computing resources and services that are deployed close to where data are sensed and actions need to be performed. Virtualisation is an essential feature in the cloud as in the fog, and containers have been recently getting much popularity to encapsulate fog services. Besides, container migration among fog nodes may enable several emerging use cases in different IoT domains (e.g., smart transportation, smart industry). In this paper, we first report container migration use cases in the fog and discuss containerisation. We then provide a comprehensive overview of the state-of-the-art migration techniques for containers, i.e., cold, pre-copy, post-copy, and hybrid migrations. The main contribution of this work is the extensive performance evaluation of these techniques that we conducted over a real fog computing testbed. The obtained results shed light on container migration within fog computing environments by clarifying, in general, which migration technique might be the most appropriate under certain network and service conditions.

Reactive hyperemia index (RHI) and cognitive performance indexes are associated with histologic markers of liver disease in subjects with non-alcoholic fatty liver disease (NAFLD): a case control study.

BACKGROUND: No study evaluated vascular health markers in subjects with non-alcoholic fatty liver disease (NAFLD) through a combined analysis of reactive hyperemia peripheral arterial tonometry (RH-PAT) and arterial stiffness indexes. AIM OF THE STUDY: We aimed to assess whether NAFLD and its histological severity are associated with impairment of arterial stiffness and RH-PAT indexes in a mixed cohort of patients with biopsy-proven NAFLD. MATERIALS AND METHODS: The Kleiner classification was used to grade NAFLD grade. Pulse wave velocity (PWV) and augmentation index (Aix) were used as markers of arterial stiffness, whereas endothelial function was assessed using reactive hyperemia index (RHI). The mini-mental state examination (MMSE) was administered to test cognitive performance. RESULTS: 80 consecutive patients with biopsy-proven NAFLD and 83 controls without fatty liver disease. NAFLD subjects showed significantly lower mean RHI, higher mean arterial stiffness indexes and lower mean MMSE score. Multivariable analysis after correction for BMI, dyslipidaemia, hypertension, sex, diabetes, age and cardiovascular disease showed that BMI, diastolic blood pressure and RHI are significantly associated to NAFLD. Simple linear regression analysis showed among non-alcoholic steatohepatitis (NASH) subjects a significant negative relationship between ballooning grade and MMSE and a significant positive association between Kleiner steatosis grade and augmentation index. CONCLUSIONS: Future research will be addressed to evaluate the relationship between inflammatory markers and arterial stiffness and endothelial function indexes in NAFLD subjects. These study will evaluate association between cardiovascular event incidence and arterial stiffness, endothelial and cognitive markers, and they will address the beneficial effects of cardiovascular drugs such as statins and ACE inhibitors on these surrogate markers in NAFLD subjects.

CHA2DS2-VASc score predicts short- and long-term outcomes in patients with acute ischemic stroke treated with intravenous thrombolysis.

The CHA2DS2-VASc score is a validated tool to assess the thromboembolic risk in patients with atrial fibrillation. Pre-stroke CHA2DS2-VASc score may predict outcome in patients with acute ischemic stroke (AIS) without atrial fibrillation. The aim of this study was to investigate if the pre-stroke CHA2DS2-VASc score is able to predict short- and long-term outcomes in AIS patients treated with intravenous thrombolysis (IVT). The study group consisted of 256 consecutive patients admitted to the Udine University Hospital with AIS and underwent IVT between January 2015 to March 2017. The pre-stroke CHA2DS2-VASc score for each patient was calculated from the collected baseline data. Patients were classified into three groups according to their pre-stroke CHA2DS2-VASc score: a score of 0 of 1, a score of 2 or 3 and a score above 3. Primary outcome measures were: rate of favorable outcome at 90-days and at 1-year, and mortality at 90-days and at 1-year. Data on functional outcome and mortality 1 year after stroke were collected in 165 patients (65% of the entire sample). Favorable outcome was defined as a modified Rankin Scale score ≤ 2. Compared with the CHA2DS2-VASc score 0-1 group, patients with higher CHA2DS2-VASc scores had a worse outcome and a higher mortality 3 months and 1 year after stroke. The diagnostic performance of the CHA2DS2-VASc score as judged with AUC-ROC was 0.70 (95% CI, 0.64-0.76; p < 0.001) for favorable outcome at 90-days, 0.78 (95% CI, 0.71-0.85; p < 0.001) for favorable outcome at 1-year, 0.71 (95% CI 0.61-0.79) for mortality at 90-days, 0.73 (95% CI 0.64-0.80; p < 0.001) for mortality at 1-year. Pre-stroke CHA2DS2-VASc score represents a good predictor for short- and long-term outcomes in AIS patients treated with IVT.

Introduction of direct oral anticoagulant within 7 days of stroke onset: a nomogram to predict the probability of 3-month modified Rankin Scale score > 2.

In clinical practice, direct oral anticoagulants (DOACs) are often started earlier (≤ 7 days) than in randomized clinical trials after stroke. We aimed to develop a nomogram model incorporating time of DOAC introduction ≤ 7 days of stroke onset in combination with different degrees of stroke radiological/neurological severity at the time of treatment to predict the probability of unfavorable outcome. We conducted a multicenter prospective study including 344 patients who started DOAC 1-7 days after atrial fibrillation-related stroke onset. Computed tomography scan 24-36 h after stroke onset was performed in all patients before starting DOAC. Unfavorable outcome was defined as modified Rankin Scale (mRS) score > 2 at 3 months. Based on multivariate logistic model, the nomogram was generated. We assessed the discriminative performance by using the area under the receiver operating characteristic curve (AUC-ROC) and calibration of risk prediction model by using the Hosmer-Lemeshow test. Onset-to-treatment time for DOAC (OR: 1.21, p = 0.030), NIH Stroke Scale (NIHSS) score at the time of treatment (OR: 1.00 for NIHSS = 0-5; OR: 2.67, p = 0.016 for NIHSS = 6-9; OR: 26.70, p < 0.001 for NIHSS = 10-14; OR: 57.48, p < 0.001 for NIHSS ≥ 15), size infarct (OR: 1.00 for small infarct; OR: 2.26, p = 0.023 for medium infarct; OR: 3.40, p = 0.005 for large infarct), and age ≥ 80 years (OR: 1.96, p = 0.028) remained independent predictors of unfavorable outcome to compose the nomogram. The AUC-ROC of nomogram was 0.858. Calibration was good (p = 2.889 for the Hosmer-Lemeshow test). The combination of onset-to-treatment time of DOAC with stroke radiological/neurological severity at the time of treatment and old age may predict the probability of unfavorable outcome.

Blockchain and IoT Integration: A Systematic Survey.

The Internet of Things (IoT) refers to the interconnection of smart devices to collect data and make intelligent decisions. However, a lack of intrinsic security measures makes IoT vulnerable to privacy and security threats. With its "security by design," Blockchain (BC) can help in addressing major security requirements in IoT. BC capabilities like immutability, transparency, auditability, data encryption and operational resilience can help solve most architectural shortcomings of IoT. This article presents a comprehensive survey on BC and IoT integration. The objective of this paper is to analyze the current research trends on the usage of BC-related approaches and technologies in an IoT context. This paper presents the following novelties, with respect to related work: (i) it covers different application domains, organizing the available literature according to this categorization, (ii) it introduces two usage patterns, i.e., device manipulation and data management (open marketplace solution), and (iii) it reports on the development level of some of the presented solutions. We also analyze the main challenges faced by the research community in the smooth integration of BC and IoT, and point out the main open issues and future research directions. Last but not least, we also present a survey about novel uses of BC in the machine economy.

Short and long-term outcomes after combined intravenous thrombolysis and mechanical thrombectomy versus direct mechanical thrombectomy: a prospective single-center study.

Recent clinical trials demonstrated that mechanical thrombectomy (MT) using second-generation endovascular devices has beneficial effects in acute ischemic stroke (AIS) due to large vessel occlusion (LVO). However, it remains controversial if intravenous thrombolysis (IVT) prior to MT is superior compared to direct mechanical thrombectomy (DMT). The aims of this study were to compare short and long-term outcomes between IVT + MT and DMT patients. We prospectively recruited AIS patients with LVO in the anterior or posterior circulation eligible for MT with and without prior IVT. Modified Rankin Scale (mRS) and mortality were assessed at baseline, at discharge, 90-days and 1-year after stroke. Favorable outcome was defined as a mRS score ≤2. Of the 66 patients included, 33 (50%) were in IVT + MT group and 33 (50%) were in DMT group. Except for a higher prevalence of patients using anticoagulants at admission in DMT group, baseline characteristics did not differ in the two groups. Procedural characteristics were similar in IVT + MT and DMT group. Rate of favorable outcome was significantly higher in IVT + MT patients than DMT ones both 90-days (51.5 vs. 18.2%; p = 0.004) and 1-year (51.5 vs. 15.2%; p = 0.002) after stroke. DMT patients were six times more likely to die during the 1-year follow-up compared to IVT + MT patients. This study suggests that bridging therapy may improve short and long-term outcomes in patients eligible for endovascular treatment. Further studies with larger patient numbers and randomized design are needed to confirm our findings.

A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure.

The adoption of embedded systems, mobile devices and other smart devices keeps rising globally, and the scope of their involvement broadens, for instance, in smart city-like scenarios. In light of this, a pressing need emerges to tame such complexity and reuse as much tooling as possible without resorting to vertical ad hoc solutions, while at the same time taking into account valid options with regard to infrastructure management and other more advanced functionalities. Existing solutions mainly focus on core mechanisms and do not allow one to scale by leveraging infrastructure or adapt to a variety of scenarios, especially if actuators are involved in the loop. A new, more flexible, cloud-based approach, able to provide device-focused workflows, is required. In this sense, a widely-used and competitive framework for infrastructure as a service, such as OpenStack, with its breadth in terms of feature coverage and expanded scope, looks to fit the bill, replacing current application-specific approaches with an innovative application-agnostic one. This work thus describes the rationale, efforts and results so far achieved for an integration of IoT paradigms and resource ecosystems with such a kind of cloud-oriented device-centric environment, by focusing on a smart city scenario, namely a park smart lighting example, and featuring data collection, data visualization, event detection and coordinated reaction, as example use cases of such integration.

Clinical and functional determinants of appropriate rehabilitation referrals after stroke: a single-center retrospective cohort study.

BACKGROUND: Rehabilitation is currently the best available treatment for post-stroke disability. There is, however, great variability in the proportion of patients accessing rehabilitation across high-income countries suggesting that factors not explained by facilities availability or guidelines diversity may intervene in decision-making. OBJECTIVES: To evaluate which factors are associated with appropriate post-stroke rehabilitation referrals in a tertiary stroke unit setting. METHODS: Retrospective single-center cohort study including patients admitted to the Stroke Unit of the "Santa Maria della Misericordia" University Hospital, Udine (IT) from January 1st to December 31st, 2019. Information regarding stroke severity (National Institute of Health Stroke Scale), functional assessment (modified Rankin scale [mRS] and Barthel index [BI]), length of hospital stay, and rehabilitation pathway was collected. Outcome was defined as referral to the appropriate rehabilitation pathway. Appropriateness was assessed comparing patient clinical information at discharge against local criteria for intensive vs. extensive rehabilitation. A mixed-linear effect model was built to explore NIHSS, mRS, and BI variation over time. Multivariable logistic regression was used to estimate the adjusted-odds ratio (OR) and 95% confidence interval (CI 95%) of appropriate assignment to rehabilitation pathways. RESULTS: 288 patients were included in the study (age 73.1 years, males 57.9%) and in 75.7%, the rehabilitation pathway assignment was appropriate. NIHSS at discharge was lower compared to admission but no effect of rehabilitation assignment was evident, while mRS scores at discharge and at three months were 2.6 (CI 95% 2.2; 3.0) and 2.1 (CI 95% 1.8; 2.5) higher compared to admission (p < 0.0001). Rehabilitation assignment effect on mRS was time dependent, resulting in an additional - 0.6 (CI 95% - 1.0; - 0.2) lowering at discharge for those appropriately assigned (p = 0.003), with a trend for significance at three months (p = 0.08). BI score was higher at discharge (p < 0.0001), and appropriate assignment was associated with higher scores (p = 0.01). Multivariate analysis showed that the OR of appropriate rehabilitation pathway assignment were reduced by higher mRS (0.60 [CI 95% 0.48; 0.76], p < 0.0001) and increased by higher NIHSS (1.11 [CI 95% 1.04; 1.19], p = 0.001) scores at discharge. The latter finding might be explained by the rehabilitation assessment focus on post-stroke motor symptoms captured by NIHSS. CONCLUSIONS: Higher mRS and lower NIHSS levels at discharge were independent predictors for inappropriate rehabilitation assignment after stroke in our cohort. These findings may reflect a therapeutic bias toward patients with higher post-stroke disability in a rehabilitation framework heavily tilted on post-stroke motor symptoms.

Milvexian, a novel factor XIa inhibitor for stroke prevention: pharmacokinetic and pharmacodynamic evaluation.

INTRODUCTION: Antiplatelets and oral anticoagulants are commonly used to treat patients with various cardiovascular and cerebrovascular diseases. However, the primary concern for clinicians remains the risk of bleeding, thus necessitating the development of new therapies. Milvexian is a new anticoagulant that inhibits factor XIa, preventing the pathological formation of thrombi without increasing bleeding risk. AREAS COVERED: This drug evaluation examines the pharmacokinetic properties of milvexian and provides information on its pharmacodynamics and clinical efficacy in treating some cerebrovascular conditions. EXPERT OPINION: Milvexian shows a good pharmacokinetic profile with low renal elimination rates, justifying its use in patients with a high degree of renal impairment, and without relevant drug-drug interactions. In patients affected by acute non-cardioembolic ischemic stroke or high-risk transient ischemic stroke, milvexian, in addition to dual antiplatelet therapy, seems to have a positive efficacy profile without any safety concerns, especially in terms of intracranial hemorrhage. Two phase 3 trials are ongoing to investigate the efficacy and safety of milvexian for preventing cardioembolic and non-cardioembolic ischemic stroke.