Reasons for Exclusion From Intravenous Thrombolysis in Acute Ischemic Stroke: Experience From a Moroccan Stroke Unit.

Background and objective The rate of intravenous thrombolysis (IVT) in acute ischemic stroke (AIS) is still low due to several absolute and relative contraindications, including admission time delay, which remains the main reason for exclusion from thrombolysis. In this study, we aimed to identify reasons for non-thrombolysis at our stroke center. Methods This retrospective study included all patients with a final diagnosis of AIS as per our stroke prospective register from 2014 to 2019. Reasons for non-thrombolysis were analyzed for all AIS and for patients admitted within 4.5 hours from symptom onset. From 2014 to 2016, a non-contrast CT scan was the unique imaging modality used to decide on performing IVT. In 2017, CT angiography was added to the imaging protocol. Results Among 3,562 patients with AIS, 3,365 (94.4%) were excluded from thrombolysis; 2,871 (80.6%) were admitted out of the IVT time window, which represents the main reason for exclusion from thrombolysis. Thrombolysis alert (TA) was triggered for 691 (19.4%) patients, and 197 patients had IVT (which represents 28.5% of TA and 5.5% of all AIS). Minor stroke and rapidly improving symptoms of stroke were also reasons for non-thrombolysis, which explain the high-average initial National Institutes of Health Stoke Scale (NIHSS) score of more than 12 in the thrombolysis group. CT angiography allows for the analysis of the supra-aortic trunks, the circle of Willis, and the collateral status. Therefore, during the period when a CT angiography scan was used, there were more IVTs for minor strokes, rapidly improving strokes, and AIS patients admitted beyond the IVT time window. Conclusions This study highlights the common reasons for exclusion from thrombolysis. Efforts should be undertaken to avoid admission time delays. Also, based on our findings, minor stroke and improving stroke no longer represent absolute contraindications for IVT in AIS.

Intravenous Thrombolysis with Tenecteplase for the Treatment of Acute Ischemic Stroke.

OBJECTIVE: Intravenous thrombolysis (IVT) with tenecteplase has been associated with better clinical outcomes in acute ischemic stroke (AIS) patients with confirmed large vessel occlusions compared to IVT with alteplase. However, the utility of tenecteplase for the treatment of all AIS patients eligible for IVT has not been established. METHODS: We compared the safety and efficacy of tenecteplase versus alteplase in AIS patients by analyzing propensity score matched data from 20 centers participating in the Safe Implementation of Treatments in Stroke-International Stroke Thrombolysis Register. Patients receiving IVT with tenecteplase were matched with up to 3 patients receiving alteplase from the same center. The primary outcome of interest was the distribution of 3-month functional outcomes. Secondary outcomes included the rates of patients with symptomatic intracranial hemorrhage (SICH) in the first 24 hours, excellent (modified Rankin Scale [mRS] score = 0-1) or good (mRS score = 0-2) functional outcome, and all-cause mortality at 3 months. RESULTS: A total of 331 tenecteplase-treated AIS patients were matched to 797 patients treated with alteplase (median age = 70 years, 43.9% women, median National Institutes of Health Stroke Scale score = 11, interquartile range = 6-17). Patients treated with tenecteplase had better 3-month functional outcomes (common odds ratio [OR] = 1.54, 95% confidence interval [CI] = 1.18-2.00) with higher odds of good functional outcome (OR = 2.00, 95% CI = 1.45-2.77) and a lower likelihood of all-cause mortality (OR = 0.43, 95% CI = 0.27-0.67) at 3 months, compared to alteplase-treated patients. No difference was found in the likelihood of the 3-month excellent functional outcomes (OR = 1.31, 95% CI = 0.96-1.78) and 24-hour SICH (1.0% vs 1.3%, OR = 0.72, 95% CI = 0.20-2.64). INTERPRETATION: IVT with tenecteplase was associated with better 3-month clinical outcomes compared to IVT with alteplase in AIS patients, with no increased risk of symptomatic intracranial bleeding. ANN NEUROL 2022;92:349-357.

A novel approach combining temporal and spectral features of Arabic online handwriting for Parkinson's disease prediction.

BACKGROUND: Parkinson's disease (PD) affects millions of people worldwide, and it is predicted that this pathology will gravely increase in the next few years. Unfortunately, there's currently no cure for this disease, indeed an early diagnosis of Parkinson's disease can help to better manage its symptoms and its evolution. One of the most frequent abilities and usually also the first manifestation of Parkinson's disease is alteration of handwriting. NEW METHOD: We propose a novel method to detect Parkinson's disease, based on the segmentation of the online handwritten text into lines. Indeed, we propose to compare Parkinson's disease patients and healthy controls, based on the full dynamics of new temporal and spectral features. Three classifiers were used, K-Nearest Neighbors, Support Vector Machine and Decision Trees. The performances of these three classifiers were estimated using a stratified nested 10 cross-validation. All the models in this study have been evaluated using classification accuracy, balanced accuracy, sensitivity, specificity, F-Score and Matthews Correlation Coefficient. RESULTS: An accuracy of 92.86 % was obtained with Decision Trees classifier in the last line. The new categories of spectral and temporal features gave the best classification performances in comparison to the basic statistical features. COMPARISON WITH EXISTING METHODS: Previous studies have only focused on words or sentences. This is the first study to deal with the analysis of a text composed of several lines. CONCLUSION: The last line discriminates at best between Parkinson's disease patients and healthy controls. This obtained result has further strengthened our hypothesis concerning the fatigue occurring while writing in PD patients.

Stroke in the Middle-East and North Africa: A 2-year prospective observational study of stroke characteristics in the region-Results from the Safe Implementation of Treatments in Stroke (SITS)-Middle-East and North African (MENA).

BACKGROUND AND METHODS: Stroke incidence and mortality are reported to have increased in the Middle-East and North African (MENA) countries during the last decade. This was a prospective observational study to examine the baseline characteristics of stroke patients in the MENA region and to compare the MENA vs. the non-MENA stroke cohort in the Safe Implementation of Treatments in Stroke (SITS) International Registry. RESULTS: Of the 13,822 patients with ischemic and hemorrhagic stroke enrolled in the SITS-All Patients Protocol between June 2014 and May 2016, 5897 patients (43%) were recruited in MENA. The median onset-to-door time was 5 h (IQR: 2:20-13:00), National Institutes of Health Stroke Scale (NIHSS) score was 8 (4-13) and age was 65 years (56-76). Hypertension (66%) and diabetes (38%) were the prevailing risk factors; large artery stenosis > 50% (25.3%) and lacunar strokes (24.1%) were the most common ischemic stroke etiologies. In comparison, non-MENA countries displayed an onset-to-door time of 5:50 h (2:00-18:45), a median of NIHSS 6 (3-14), and a median age of 66 (56-76), with other large vessel disease and cardiac embolism as the main ischemic stroke etiologies. Hemorrhagic strokes (10%) were less common compared to non-MENA countries (13.9%). In MENA, only a low proportion of patients (21%) was admitted to stroke units. CONCLUSIONS: MENA patients are slightly younger, have a higher prevalence of diabetes and slightly more severe ischemic strokes, commonly of atherosclerotic or microvascular etiology. Admission into stroke units and long-term follow-up need to be improved. It is suspected that cardiac embolism and atrial fibrillation are currently underdiagnosed in MENA countries.