Early Recanalization after Tenecteplase versus Alteplase: Experience in a Large Stroke Network.

INTRODUCTION: Previously published data are conflicting regarding the ability of tenecteplase versus alteplase to produce early recanalization of an intracranial large vessel occlusion. We compared the performance of each thrombolytic in a stroke network. METHODS: We queried our prospectively collected code stroke registry for basilar, internal carotid, or proximal middle cerebral artery occlusion patients treated with intravenous thrombolysis from 11/17/2021-9/16/2023. The primary outcome was early recanalization, defined using angiographic or clinical criteria. Secondary and safety outcomes included 90-day functional independence and symptomatic intracranial hemorrhage. A multivariable regression analysis was performed to determine independent associations with the primary outcome. RESULTS: 233 patients, with mean age 66.9 (16.6) years and median National Institutes of Health Stroke Scale score 15 (10-21), were included. One-hundred twenty-four of 233 (53.2%) patients were treated with alteplase while 109/233 (46.8%) were treated with tenecteplase. Endovascular thrombectomy was performed in 82% of subjects. Early recanalization rates were similar between the groups (alteplase 22.6%, tenecteplase 14.7%; p=0.14), as were rates of 90-day independent neurological function, symptomatic intracranial hemorrhage, and mortality. Patients with an internal carotid artery occlusion or with higher presenting stroke severity were less likely to achieve early recanalization. CONCLUSIONS: Tenecteplase and alteplase have similar rates of early recanalization, 90-day functional independence, and safety outcomes in large vessel occlusion patients. Occlusion site and stroke severity predict response to thrombolysis. Future studies may investigate other factors associated with a positive response to thrombolytics as expanded treatment indications are explored.

Predictors of social risk for post-ischemic stroke reintegration.

After stroke rehabilitation, patients need to reintegrate back into their daily life, workplace and society. Reintegration involves complex processes depending on age, sex, stroke severity, cognitive, physical, as well as socioeconomic factors that impact long-term outcomes post-stroke. Moreover, post-stroke quality of life can be impacted by social risks of inadequate family, social, economic, housing and other supports needed by the patients. Social risks and barriers to successful reintegration are poorly understood yet critical for informing clinical or social interventions. Therefore, the aim of this work is to predict social risk at rehabilitation discharge using sociodemographic and clinical variables at rehabilitation admission and identify factors that contribute to this risk. A Gradient Boosting modelling methodology based on decision trees was applied to a Catalan 217-patient cohort of mostly young (mean age 52.7), male (66.4%), ischemic stroke survivors. The modelling task was to predict an individual's social risk upon discharge from rehabilitation based on 16 different demographic, diagnostic and social risk variables (family support, social support, economic status, cohabitation and home accessibility at admission). To correct for imbalance in patient sample numbers with high and low-risk levels (prediction target), five different datasets were prepared by varying the data subsampling methodology. For each of the five datasets a prediction model was trained and the analysis involves a comparison across these models. The training and validation results indicated that the models corrected for prediction target imbalance have similarly good performance (AUC 0.831-0.843) and validation (AUC 0.881 - 0.909). Furthermore, predictor variable importance ranked social support and economic status as the most important variables with the greatest contribution to social risk prediction, however, sex and age had a lesser, but still important, contribution. Due to the complex and multifactorial nature of social risk, factors in combination, including social support and economic status, drive social risk for individuals.

Neurological outcomes for patients meeting radiographic criteria for DEFUSE 3 and SELECT2.

BACKGROUND: The DEFUSE 3 and SELECT2 thrombectomy trials included some patients with similar radiographic profiles, although the rates of good functional outcomes differed widely between the studies. OBJECTIVE: To report neurological outcomes for patients who meet CT and CT perfusion (CTP) inclusion criteria common to both DEFUSE 3 and SELECT2. METHODS: Retrospective study of thrombectomy patients, presenting between November 2016 and December 2023 to a large health system, with Alberta Stroke Program Early CT score ≥6, core infarction 50-69 mL, mismatch ratio ≥1.8, and mismatch volume ≥15 mL. The primary outcome was 90-day modified Rankin Scale score 0-2. A logistic regression analysis was performed to identify independent predictors of the primary outcome. RESULTS: 85 patients, with mean age 64.6 (16.6) years and median National Institutes of Health Stroke Scale score 18 (15-23), were included. Thirty-eight of 85 patients (44.7%) were functionally independent at 90 days. Predictors of functional independence included age (OR=0.943, 95% CI 0.908 to 0.980; P=0.003), initial glucose (OR=0.989, 95% CI 0.978 to 1.000; P=0.044), and time last known well to skin puncture (OR=0.997, 95% CI 0.994 to 1.000; P=0.028). The area under the curve for the multivariable model predicting the primary outcome was 0.82 (95% CI 0.73 to 0.92). CONCLUSION: Nearly half of patients meeting radiographic criteria common to DEFUSE 3 and SELECT2 are functionally independent at 90 days, similar to rates reported for the treated DEFUSE 3 cohort. This might be due to their moderate core volumes and large ischemic penumbra.