Exploring the relationship between lesion morphology and pathogenesis in acute small subcortical infarction.

Introduction Acute small subcortical infarctions (SSIs) result from occlusions of small penetrating arteries, and the underlying pathological factors can have different clinical implications. The objective of this study was to assess the clinical relevance of acute SSIs based on their sizes and morphologies. Methods This retrospective case-control study analyzed clinical and imaging data of stroke patients with acute SSIs in penetrating artery territories who underwent MRI within 5 days of stroke onset, registered between 2016 and 2020. We categorized these patients into three groups based on size and morphology: diameter < 20mm, diameter ≧ 20mm, and separated lesions. We then evaluated their clinical characteristics and outcomes. Results We analyzed 726 stroke patients with SSIs, among whom 573 had a diameter <20mm, 99 had a diameter ≥20mm, and 54 had separated lesions. The patients had a median age of 70 years and a median National Institutes of Health Stroke Scale (NIHSS) score of 4 on arrival. Patients who experienced early neurological deterioration (END) had a significantly lower chance of good functional outcomes (27.3% vs. 64.4%, p<0.001). Patients with a diameter ≧20mm had the most severe NIHSS on arrival and at day 3, the highest rate of END, and the lowest rate of good outcome at 3 months. The incidence of cardioembolism did not differ between patients with diameters of ≥20mm and <20mm. However, multiple logistic regression analysis revealed that separated lesions were more likely to be associated with cardioembolic stroke (adjusted odds ratio [aOR], 7.6; 95% confidence interval [CI], 2.0-28.5) and parent artery stenosis >50% (aOR, 3.8; 95% CI, 2.1-7.0) than a diameter of <20mm. Moreover, SSIs with a diameter of ≥20mm was found to be associated with an increased risk of END compared to that with a diameter of <20mm (aOR, 2.9; 95% CI, 1.7-5.2). Conclusion Our study suggests that the sizes and morphologies of acute SSIs may indicate different underlying pathologies and be linked to diverse clinical outcomes. Our findings also challenge the current imaging criteria for embolic stroke of undetermined source, as we did not find a link between large subcortical infarction and cardioembolic stroke.

Association of Aortic Arch Calcification with Acute Ischemic Stroke Subtypes and Endovascular Thrombectomy Outcomes.

PURPOSE: To analyze the aortic arch calcification (AAC) on computed tomography (CT) scans, with the goal of predicting the subtypes of patients with ischemic stroke and endovascular thrombectomy (EVT) outcomes. MATERIALS AND METHODS: Automated analysis was used to quantify AAC on CT scans. From January 2020 to March 2021, 119 patients diagnosed with ischemic stroke were analyzed, and the feasibility of EVT was assessed; 43 underwent the procedure. RESULTS: AAC was present in 117 (98.3%) of 119 patients. There was a significant difference (P <.001) in AAC severity among all patients with ischemic stroke according to the Trial of ORG 10172 in Acute Stroke Treatment classification. In patients who underwent EVT, AAC severity was significantly related to the thrombolysis in cerebral infarction grade, thrombectomy procedure time, and modified Rankin scale at discharge (P =.002, P =.035 and P =.015, respectively). Multivariate logistic regression analysis also showed that severe AAC (volume, ≥1,000 mm3) (adjusted odds ratio [OR], 12.1; adjusted 95% confidence interval [CI]), 2.1-36.4; P =.001) and intracranial atherosclerotic disease (adjusted OR, 9.5; adjusted 95% CI, 2.3-33.7; P =.001) were both independently associated with poor thrombolysis reperfusion rate. CONCLUSIONS: A high proportion of patients with ischemic stroke have AAC, the severity of which is a potential imaging marker of ischemic stroke subtypes and the outcome of EVT.

Association between initial in-hospital heart rate and glycemic control in patients with acute ischemic stroke and diabetes mellitus.

BACKGROUND: A high resting heart rate (HR) has been associated with an increased risk of diabetes mellitus. This study explored the association between initial in-hospital HR and glycemic control in patients with acute ischemic stroke (AIS) and diabetes mellitus. METHODS: We analyzed data from 4,715 patients with AIS and type 2 diabetes mellitus enrolled in the Chang Gung Research Database between January 2010 and September 2018. The study outcome was unfavorable glycemic control, defined as glycated hemoglobin (HbA1c) ≥ 7%. In statistical analyses, the mean initial in-hospital HR was used as both a continuous and categorical variable. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression analysis. The associations between the HR subgroups and HbA1c levels were analyzed using a generalized linear model. RESULTS: Compared with the reference group (HR < 60 bpm), the adjusted ORs for unfavorable glycemic control were 1.093 (95% CI 0.786-1.519) for an HR of 60-69 bpm, 1.370 (95% CI 0.991-1.892) for an HR of 70-79 bpm, and 1.608 (95% CI 1.145-2.257) for an HR of ≥ 80 bpm. Even after adjusting for possible confounders, the HbA1c levels after admission and discharge among diabetic stroke patients increased significantly in the subgroups with higher HRs (p < 0.001). CONCLUSIONS: High initial in-hospital HR is associated with unfavorable glycemic control in patients with AIS and diabetes mellitus, particularly in those with an HR of ≥ 80 bpm, compared with those with an HR of < 60 bpm.

Initial in-hospital heart rate is associated with three-month functional outcomes after acute ischemic stroke.

BACKGROUND: Increased heart rate (HR) has been associated with stroke risk and outcomes. MATERIAL AND METHODS: We analyzed 1,420 patients from a hospital-based stroke registry with acute ischemic stroke (AIS). Mean initial in-hospital HR and the coefficient of variation of HR (HR-CV) were derived from the values recorded during the first 3 days of hospitalization. The study outcome was the 3-month functional outcome. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated using multivariable logistic regression analysis. RESULTS: A higher mean HR level was significantly and continuously associated with a higher probability of unfavorable functional outcomes. Compared with the reference group (mean HR < 70 beats per minute), the multivariate-adjusted OR for an unfavorable outcome was 1.81 (95% CI, 1.25-2.61) for a mean HR ≥ 70 and < 80 beats per minute, 2.52 (95% CI, 1.66 - 3.52) for a mean HR ≥ 80 and < 90 beats per minute, and 3.88 (95% CI, 2.20-6.85) for mean HR ≥ 90 beats per minute. For stroke patients with a history of hypertension, the multivariate-adjusted OR for patients with a HR-CV ≥ 0.12 (versus patients with a HR-CV < 0.08 as a reference) was 1.73 (95% CI, 1.11-2.70) for an unfavorable outcome. CONCLUSIONS: Our results indicated that a high initial in-hospital HR was significantly associated with unfavorable 3-month functional outcomes in patients with AIS. In addition, stroke patients with a HR-CV ≥ 0.12 also had unfavorable outcomes compared with those with a HR-CV < 0.08 if they had a history of hypertension.

Effects of long-term anti-seizure medication monotherapy on all-cause death in patients with post-stroke epilepsy: a nationwide population-based study in Taiwan.

OBJECTIVE: We aim to compare the effect of long-term anti-seizure medication (ASM) monotherapy on the risk of death and new ischemic stroke in patients with post-stroke epilepsy (PSE). PATIENTS AND METHODS: We identified all hospitalized patients (≥ 20 years) with a primary diagnosis of ischemic or hemorrhagic stroke from 2001 to 2012 using the National Health Insurance Research Database in Taiwan. The PSE cohort were defined as the stroke patients (1) who had no epilepsy and no ASMs use before the index stroke, and (2) who had epilepsy and ASMs use after 14 days from the stroke onset. The patients with PSE receiving ASM monotherapy were enrolled and were categorized into phenytoin, valproic acid, carbamazepine, and new ASM groups. We employed the Cox regression model to estimate the unadjusted and adjusted hazard ratios (HRs) with 95 % confidence intervals (CIs) of death and new ischemic stroke within 5 years across all groups, using the new ASM group as the reference. RESULTS: Of 6962 patients with PSE using ASM monotherapy, 3917 (56 %) were on phenytoin, 1623 (23 %) on valproic acid, 457 (7 %) on carbamazepine, and 965 (14 %) on new ASMs. After adjusting for confounders, compared with new ASM users, phenytoin users had a higher risk of death in 5 years (HR: 1.64; 95 % CI: 1.06-2.55). On the other hand, all ASM groups showed a similar risk of new ischemic stroke in 5 years. CONCLUSIONS: Among patients with PSE on first-line monotherapy, compared to new ASMs, use of phenytoin was associated with a higher risk of death in 5 years.

A Bronchoscope Localization Method Using an Augmented Reality Co-Display of Real Bronchoscopy Images with a Virtual 3D Bronchial Tree Model.

In recent years, Image-Guide Navigation Systems (IGNS) have become an important tool for various surgical operations. In the preparations for planning a surgical path, verifying the location of a lesion, etc., it is an essential tool; in operations such as bronchoscopy, which is the procedure for the inspection and retrieval of diagnostic samples for lung-related surgeries, it is even more so. The IGNS for bronchoscopy uses 2D-based images from a flexible bronchoscope to navigate through the bronchial airways in order to reach the targeted location. In this procedure, the accurate localization of the scope becomes very important, because incorrect information could potentially cause a surgeon to mistakenly direct the scope down the wrong passage. It would be a great aid for the surgeon to be able to visualize the bronchoscope images alongside the current location of the bronchoscope. For this purpose, in this paper, we propose a novel registration method to match real bronchoscopy images with virtual bronchoscope images from a 3D bronchial tree model built using computed tomography (CT) image stacks in order to obtain the current 3D position of the bronchoscope in the airways. This method is a combination of a novel position-tracking method using the current frames from the bronchoscope and the verification of the position of the real bronchoscope image against an image extracted from the 3D model using an adaptive-network-based fuzzy inference system (ANFIS)-based image matching method. Experimental results show that the proposed method performs better than the other methods used in the comparison.

An Efficient and Geometric-Distortion-Free Binary Robust Local Feature.

An efficient and geometric-distortion-free approach, namely the fast binary robust local feature (FBRLF), is proposed. The FBRLF searches the stable features from an image with the proposed multiscale adaptive and generic corner detection based on the accelerated segment test (MAGAST) to yield an optimum threshold value based on adaptive and generic corner detection based on the accelerated segment test (AGAST). To overcome the problem of image noise, the Gaussian template is applied, which is efficiently boosted by the adoption of an integral image. The feature matching is conducted by incorporating the voting mechanism and lookup table method to achieve a high accuracy with low computational complexity. The experimental results clearly demonstrate the superiority of the proposed method compared with the former schemes regarding local stable feature performance and processing efficiency.

HoloLens-Based AR System with a Robust Point Set Registration Algorithm.

By the standard of today's image-guided surgery (IGS) technology, in order to check and verify the progress of the surgery, the surgeons still require divert their attention from the patients occasionally to check against the display. In this paper, a mixed-reality system for medical use is proposed that combines an Intel RealSense sensor with Microsoft's Hololens head-mounted display system, for superimposing medical data onto the physical surface of a patient, so the surgeons do not need to divert their attention from their patients. The main idea of our proposed system is to display the 3D medical images of the patients on the actual patients themselves by placing the medical images and the patients in the same coordinate space. However, the virtual medical data may contain noises and outliers, so the transformation mapping function must be able to handle these problems. The transform function in our system is performed by the use of our proposed Denoised-Resampled-Weighted-and-Perturbed-Iterative Closest Points (DRWP-ICP) algorithm, which performs denoising and removal of outliers before aligning the pre-operative medical image data points to the patient's physical surface position before displaying the result using the Microsoft HoloLens display system. The experimental results shows that our proposed mixed-reality system using DRWP-ICP is capable of performing accurate and robust mapping despite the presence of noise and outliers.

Accuracy of Presurgical Functional MR Imaging for Language Mapping of Brain Tumors: A Systematic Review and Meta-Analysis.

Purpose To compare functional magnetic resonance (MR) imaging for language mapping (hereafter, language functional MR imaging) with direct cortical stimulation (DCS) in patients with brain tumors and to assess factors associated with its accuracy. Materials and Methods PubMed/MEDLINE and related databases were searched for research articles published between January 2000 and September 2016. Findings were pooled by using bivariate random-effects and hierarchic summary receiver operating characteristic curve models. Meta-regression and subgroup analyses were performed to evaluate whether publication year, functional MR imaging paradigm, magnetic field strength, statistical threshold, and analysis software affected classification accuracy. Results Ten articles with a total of 214 patients were included in the analysis. On a per-patient basis, the pooled sensitivity and specificity of functional MR imaging was 44% (95% confidence interval [CI]: 14%, 78%) and 80% (95% CI: 54%, 93%), respectively. On a per-tag basis (ie, each DCS stimulation site or "tag" was considered a separate data point across all patients), the pooled sensitivity and specificity were 67% (95% CI: 51%, 80%) and 55% (95% CI: 25%, 82%), respectively. The per-tag analysis showed significantly higher sensitivity for studies with shorter functional MR imaging session times (P = .03) and relaxed statistical threshold (P = .05). Significantly higher specificity was found when expressive language task (P = .02), longer functional MR imaging session times (P < .01), visual presentation of stimuli (P = .04), and stringent statistical threshold (P = .01) were used. Conclusion Results of this study showed moderate accuracy of language functional MR imaging when compared with intraoperative DCS, and the included studies displayed significant methodologic heterogeneity. © RSNA, 2017 Online supplemental material is available for this article.

Exploring the Spectrum of Subcortical Hyperintensities and Cognitive Decline.

White matter hyperintensities (WMHs) include periventricular WMH (pvWMH) and deep WMH. When hyperintensities in the basal ganglia or brainstem are included, the collective term is subcortical hyperintensities. Both WMH and medial temporal lobe atrophy (MTA) are risk factors for cognitive decline. This prospective study enrolled participants aged 50-85 years and followed their neuropsychological assessments annually for 2 years to explore the interactive effects of WMH and MTA on longitudinal clinical decline. Brain MRI was performed at the beginning of enrollment. Of the 200 participants, 57 were "normal" individuals, 40 had dysexecutive mild cognitive impairment, 53 had amnestic mild cognitive impairment, and 50 had Alzheimer's disease (AD). Overall, MTA significantly correlated with pvWMH (p=0.0004) but not with deep WMH, as defined by criteria using the Scheltens' Scale. Total Scheltens' score was specifically associated with the domain of semantic fluency (beta=-0.4, 95% CI=-0.7 to -0.2, p=0.002), which remained significant when adjusting for MTA (beta=-0.3, 95% CI=-0.5 to -0.1, p=0.017). The pvWMH was significantly higher in AD subjects than in normal control subjects (beta=0.3, 95% CI=0.1 to 0.4, p=0.001), especially the periventricular occipital caps (beta=0.2, 95% CI=0.1 to 0.3, p=0.0003). Cox proportional hazards model showed that the periventricular bands (PVB) predicted 1-year clinical decline (hazard ratio [HR]=5.3, 95% CI=1.8 to 15.7, p=0.002), which remained significant when further adjusting for MTA (HR=4.0, 95% CI=1.3 to 12.1, p=0.013). In summary, pvWMH, especially the occipital caps, was correlated with MTA and the AD subgroup. Assessment of semantic fluency may be useful for the clinical evaluation of the degree of subcortical hyperintensity burden. Visual rating of PVB could be an independent predictor for 1-year clinical decline.

An Augmented Reality System Using Improved-Iterative Closest Point Algorithm for On-Patient Medical Image Visualization.

In many surgery assistance systems, cumbersome equipment or complicated algorithms are often introduced to build the whole system. To build a system without cumbersome equipment or complicated algorithms, and to provide physicians the ability to observe the location of the lesion in the course of surgery, an augmented reality approach using an improved alignment method to image-guided surgery (IGS) is proposed. The system uses RGB-Depth sensor in conjunction with the Point Cloud Library (PCL) to build and establish the patient's head surface information, and, through the use of the improved alignment algorithm proposed in this study, the preoperative medical imaging information obtained can be placed in the same world-coordinates system as the patient's head surface information. The traditional alignment method, Iterative Closest Point (ICP), has the disadvantage that an ill-chosen starting position will result only in a locally optimal solution. The proposed improved para-alignment algorithm, named improved-ICP (I-ICP), uses a stochastic perturbation technique to escape from locally optimal solutions and reach the globally optimal solution. After the alignment, the results will be merged and displayed using Microsoft's HoloLens Head-Mounted Display (HMD), and allows the surgeon to view the patient's head at the same time as the patient's medical images. In this study, experiments were performed using spatial reference points with known positions. The experimental results show that the proposed improved alignment algorithm has errors bounded within 3 mm, which is highly accurate.

A common polymorphism decreases LRP1 mRNA stability and is associated with increased plasma factor VIII levels.

The low-density lipoprotein receptor-related protein 1 (LRP1) gene is associated with increased levels of plasma factor VIII (FVIII). We aimed to explore eight functional genetic LRP1 variants for their potential roles in regulating FVIII levels and acute ischemic stroke (AIS). This genetic association study enrolled 192 patients with AIS and 134 controls. There were no significant differences in the genetic frequency of the eight functional single-nucleotide polymorphisms (SNPs) between the control and AIS groups. However, while analyzing the association between the eight SNPs and plasma FVIII levels, subjects with T/T genotype of rs1800137 (vs. CC+CT) were found to be associated with higher FVIII levels (23.5IU/dL; 95% confidence interval, 7.4-39.5IU/dL; P=0.0044) after adjusting for age, gender, estimated glomerular filtration rate, O blood type, inflammatory state, and body mass index. An analysis of the mRNA stability and abundance was designed and performed using minigene system transfected into HepG2 cells to assess the possible differences in mRNA stabilities between rs1800137 CC (rs1800137C) and TT (rs1800137T) genotypes. Site-directed mutagenesis revealed that rs1800137T accounts for the observed decrease in mRNA stability. The SNP rs1800137, located in exon 8, has been identified as an exon-splicing enhancer in silico. However, alternative splicing of LRP1 without inclusion of exon 8 was not identified. In transfected HepG2 cells, cycloheximide slowed down the degradation of the rs1800137T-containing minigene. These results demonstrate that synonymous SNP rs1800137 can lead to increased plasma FVIII levels due to decreased mRNA stability via translation-dependent mRNA degradation associated with codon optimality.

The influence of dehydration on the prognosis of acute ischemic stroke for patients treated with tissue plasminogen activator.

BACKGROUND: Many studies have determined that dehydration is an independent predictor of outcome after ischemic stroke (IS); however, none have determined if the use of thrombolytic therapy modifies the negative impact of poor hydration. To inform the stroke registry established at our institution, we conducted a retrospective study to determine if dehydration remains a negative prognostic factor after IS patients treated with tissue plasminogen activator (tPA). METHODS: Between 2007 and 2012, we recruited 382 subjects; 346 had data available and were divided into 2 groups on the basis of their blood urea nitrogen/creatinine (BUN/Cr) ratio. Dehydrated subjects had a BUN/Cr ratio ≥ 15; hydrated subjects had a BUN/Cr < 15. The primary outcome was impairment at discharge as graded by the Barthel Index (BI) and the modified Rankin Scale (mRS). RESULTS: The dehydration group had a greater mean age; more women; lower mean levels of hemoglobin, triglycerides, and sodium; and higher mean potassium and glucose levels. A favorable outcome as assessed by the mRS (≤2) was significantly less frequent among dehydrated subjects, but a favorable outcome by the BI (≥60) was not. Logistic regression and multivariate models confirmed that dehydration is an independent predictor of poor outcome by both the mRS and the BI; however, it was not predictive when patients were stratified by Trial of Org 10,172 in Acute Stroke Treatment subtype. CONCLUSIONS: Our findings indicate that use of thrombolytic therapy does not eliminate the need to closely monitor hydration status in patients with IS.

Improving Night Time Driving Safety Using Vision-Based Classification Techniques.

The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around larger vehicles rises significantly when the driver's attention becomes distracted, even for a short period of time. For the purpose of alerting the driver and elevating his or her safety, in this paper we propose two components for any modern vision-based Advanced Drivers Assistance System (ADAS). These two components work separately for the single purpose of alerting the driver in dangerous situations. The purpose of the first component is to ascertain that the driver would be in a sufficiently wakeful state to receive and process warnings; this is the driver drowsiness detection component. The driver drowsiness detection component uses infrared images of the driver to analyze his eyes' movements using a MSR plus a simple heuristic. This component issues alerts to the driver when the driver's eyes show distraction and are closed for a longer than usual duration. Experimental results show that this component can detect closed eyes with an accuracy of 94.26% on average, which is comparable to previous results using more sophisticated methods. The purpose of the second component is to alert the driver when the driver's vehicle is moving around larger vehicles at dusk or night time. The large vehicle detection component accepts images from a regular video driving recorder as input. A bi-level system of classifiers, which included a novel MSR-enhanced KAZE-base Bag-of-Features classifier, is proposed to avoid false negatives. In both components, we propose an improved version of the Multi-Scale Retinex (MSR) algorithm to augment the contrast of the input. Several experiments were performed to test the effects of the MSR and each classifier, and the results are presented in experimental results section of this paper.

Derivation and Validation of a Scoring System for Intravenous Tissue Plasminogen Activator Use in Asian Patients.

BACKGROUND AND PURPOSE: As Chinese Asian populations have an increased risk of intracerebral hemorrhage (ICH) after intravenous tissue plasminogen activator (IV tPA), we aimed to design a rapid, clinically applicable risk scoring system to predict ICH and functional outcomes after IV tPA treatment in Asian ischemic stroke patients. METHODS: From January 2009 to December 2012, consecutive acute ischemic stroke patients treated with IV tPA recruited from the Stroke Registry in Chang Gung Healthcare System (SRICHS) in Taiwan and the National University Hospital of Singapore (NUHS) acute stroke database were used to create and validate a scoring system. Nomogram was created for ICH and 3-month mortality. RESULTS: In total, 932 patients were included in the study: 386 from SRICHS for the derivation of scoring system and 546 from NUHS to validate it. We used nomograms to assign weightage to the scoring system. The presence of atrial fibrillation, glucose level, and the National Institutes of Health Stroke Scale (NIHSS) score were significantly associated with the risk of ICH. Age, NIHSS score, hyperlipidemia, and the presence of post-tPA ICH were significantly associated with mortality. The areas under the curve of derivation and validation cohorts were .663 and .662 for ICH, and .808 and .790 for mortality, respectively. CONCLUSIONS: The scoring system using nomograms can provide a fast, practical, and user-friendly tool that allows physicians to predict the risk of ICH and functional outcomes with IV tPA treatment in a clinical setting.

Evaluation of Laser-Assisted Trans-Nail Drug Delivery with Optical Coherence Tomography.

The nail provides a functional protection to the fingertips and surrounding tissue from external injuries. The nail plate consists of three layers including dorsal, intermediate, and ventral layers. The dorsal layer consists of compact, hard keratins, limiting topical drug delivery through the nail. In this study, we investigate the application of fractional CO2 laser that produces arrays of microthermal ablation zones (MAZs) to facilitate drug delivery in the nails. We utilized optical coherence tomography (OCT) for real-time monitoring of the laser-skin tissue interaction, sparing the patient from an invasive surgical sampling procedure. The time-dependent OCT intensity variance was used to observe drug diffusion through an induced MAZ array. Subsequently, nails were treated with cream and liquid topical drugs to investigate the feasibility and diffusion efficacy of laser-assisted drug delivery. Our results show that fractional CO2 laser improves the effectiveness of topical drug delivery in the nail plate and that OCT could potentially be used for in vivo monitoring of the depth of laser penetration as well as real-time observations of drug delivery.

To Load or Not to Load? Aspirin Loading in Acute Ischemic Stroke: A Study of Clinical Outcomes.

BACKGROUND AND PURPOSE: Aspirin is known to reduce mortality and recurrent vascular events. However, there are no reports about the dose-response of loading aspirin in treating acute ischemic stroke. The objective of this study was to compare the effectiveness of different loading doses of aspirin in acute ischemic stroke presenting within 48 hours of symptom onset. METHODS: This was a retrospective, hospital-based cohort study. Patients were classified as high dose (160-325 mg) or low dose (<160 mg) based on the initial loading dose of aspirin at the emergency department. The primary outcome measure was a favorable modified Rankin Scale (mRS) score of 1 or lower on discharge. Secondary outcomes included in-hospital mortality, stroke progression during admission, and bleeding events. A propensity score with 1:3 matching was used to balance baseline characteristics, and stepwise multiple logistic regression was performed for variable adjustment. RESULTS: From a total of 7738 available patients, 3802 patients were included. Among them, 750 patients were in the high-dose group. Multiple logistic regression after matching revealed that the high-dose group was significantly associated with a favorable clinical outcome on discharge (odds ratio: 1.49, 95% confidence interval: 1.17-1.89, P <.01), but not mortality or stroke progression. The high-dose group also experienced more minor bleeding events. CONCLUSIONS: A higher loading dose of aspirin (160-325 mg) can be beneficial in treating acute ischemic stroke, although there is an increased risk of minor bleeding.

Shortened Activated Partial Thromboplastin Time Is Associated With Acute Ischemic Stroke, Stroke Severity, and Neurological Worsening.

BACKGROUND: The role played by hemostasis in the pathogenesis of ischemic strokes is still controversial. The activated partial thromboplastin time (APTT) measures the time necessary to generate fibrin from initiation of the intrinsic pathway. In the present study, we looked for a possible association of ischemic strokes with the shortened APTT. METHODS: The study population consisted of 154 patients with acute ischemic strokes who had been admitted from December 2013 to December 2014 to the Department of Neurology, Chiayi Chang Gung Memorial Hospital, and 71 control subjects with no history of stroke. RESULTS: In a univariate risk analysis, shortened APTT was associated with an odds ratio (OR) for acute ischemic strokes of up to 1.86 (95% confidence interval [CI], 1.06-3.29, P = .031). In a multivariate analysis using a logistic regression model including age, sex, hypertension, diabetes mellitus, and shortened APTT, shortened APTT was still found to significantly add to the risk of ischemic stroke (OR = 2.12 with 95% CI, 1.13-3.98, P = .020). Shortened APTT was also associated significantly with neurological worsening (OR = 3.72 with 95% CI 1.03-13.5, P = .046). As for stroke severity, shortened APTT was associated with an OR for moderate/severe stroke of up to 3.42 (95% CI, 1.53-7.61, P = .003). CONCLUSION: Shortened APTT is a prevalent and independent risk factor for ischemic stroke, stroke severity, and neurological worsening after acute stroke.

Bun/creatinine ratio-based hydration for preventing stroke-in-evolution after acute ischemic stroke.

BACKGROUND: Blood urea nitrogen (BUN)/creatinine (Cr) ratio was recently reported to be an independent predictor of stroke-in-evolution (SIE) among patients who had suffered acute ischemic stroke. We aim to determine if providing hydration therapy to patients with a BUN/Cr ≥15 reduces the occurrence of SIE after acute ischemic stroke. METHODS: This prospective interventional study included 189 patients (hydration group, n = 92; control group, n = 97) with acute ischemic stroke and a BUN/Cr ≥15. Hydration group received intravenous bolus (300-500 mL) saline followed by a maintenance saline infusion (40-80 mL/h for the first 72 h), while control group received maintenance saline infusion (40-60 mL/h for the first 24 h and 0-60 mL/h for 24-72 h). The study endpoint was the proportion of patients who developed SIE within the first three days of emergency department admission. RESULTS: There were no significant differences in demographic or clinical characteristics between both groups. Patients in the hydration group received a significantly larger (all P < 0.001) median volume of infused saline than patients in the control group on Days 1 (2400 vs 1440 mL), 2 (1440 vs 0 mL), and 3 (1000 vs 0 mL). The proportion of patients who experienced SIE was significantly lower in the hydration group (9/92; 9.8%) compared with the control group (21/97; 21.6%) (Fig. 1, P = 0.026). CONCLUSIONS: Our preliminary findings suggest that providing patients with acute ischemic stroke hydration therapy on the basis of their presenting BUN/Cr ratio may help reduce the occurrence of SIE and therefore improve prognosis.

A downlink and uplink alignment scheme for power saving in IEEE 802.16 protocol.

This study shows the problem of power saving mechanism (PSM) that sleep intervals of uplink (UL) connections do not synchronize with sleep intervals of downlink (DL) connections. That is, the energy of a mobile station (MS) is not really saved if the DL connections are in the sleep mode while the UL connections are in normal mode, and vice versa. To avoid the asynchronism of power saving (PS) between UL and DL connections, we invent a mechanism of DL connections regulating UL connections, called DL and UL Alignment (DUAL) scheme, to improve the energy efficiency for PS. Considering that the buffer size of MS is limited, DUAL uses the mean packet arrival rate of UL λ u and a relatively safe threshold of buffer size Q T as the parameters to estimate the maximum allowable waiting time to align the UL with the DL connections. To analyze the performance of DUAL, a system model of PS is proposed to evaluate the performance of DUAL under different conditions. The correctness of performance analysis of DUAL is validated by using simulation with realistic parameters. Numerical experiments show that DUAL improves the energy conservation significantly when UL traffic is greater than DL traffic.