Impact of endovascular reperfusion on low National Institutes of Health Stroke Scale score large-vessel occlusion stroke.

INTRODUCTION: Effectiveness of mechanical thrombectomy for mild-deficit stroke due to large-vessel occlusion is controversial. We present a single-center consecutive case series on thrombectomy for large-vessel occlusion mild stroke. We evaluated various thrombectomy parameters to better understand disagreement in the literature. METHODS: Data from a retrospective cohort of large-vessel occlusion mild stroke patients (National Institutes of Health Stroke Scale <6) treated with mechanical thrombectomy over 6 years and 2 months were analyzed. Patients were divided into 2 groups: successful reperfusion (modified Thrombolysis in Cerebral Infarction 2b or 3) and failed reperfusion (modified Thrombolysis in Cerebral Infarction 0,1, or 2a). Ninety-day modified Rankin Scale in-hospital mortality, and symptomatic hemorrhage rates were compared between groups. Multivariate logistic regression was performed to evaluate reperfusion status as a predictor of 90-day favorable (modified Rankin Scale 0-2) and excellent (modified Rankin Scale 0-1) outcomes. RESULTS: We identified 61 patients with large-vessel occlusion mild stroke who underwent thrombectomy. Reperfusion was successful in 49 patients and a failure in 12. The successful group exhibited significantly higher rates of favorable outcome (83.7% vs. 25.0%; p < 0.001) and excellent outcome (69.4% vs.16.7%; p = 0.002) at 90 days. In-hospital mortality was significantly higher in the failure group (41.7% vs.10.2%; p = 0.019). Multivariate logistic regression identified successful reperfusion as a significant predictor (p = 0.001) of 90-day favorable outcome. CONCLUSION: Reperfusion success was significantly associated with improved functional outcomes in large-vessel occlusion mild stroke mechanical thrombectomy. Future studies should consider reperfusion rates when evaluating the effectiveness of thrombectomy against that of medical management in these patients.

The power of social media: broader Twitter outreach and higher Altmetric scores significantly amplify neurosurgical citation reach.

OBJECTIVE: The authors sought to quantify the role of social media-related academic activity through use of the Altmetric score (a composite score based on social media attention from a variety of sources) and investigate its potential impact on the number of citations received at 3 years postpublication (articles published between January 2019 and December 2019). METHODS: Articles published in the top 12 neurosurgical journals according to Google Scholar (based on 5-year Web of Science impact factors, 2017-2021) were identified. Data collected included days since publication, Altmetric scores, and total number of tweets (posts), and 3-year citations were obtained from Google Scholar. A multiple linear regression model was created that featured a blocking method to stratify confounding variables from most to least contributing. Furthermore, the data were dichotomized by publications with ≥ 10 citations (top 25th percentile) and those with < 10 to analyze the impact of the score on total number of citations received at 3 years, using an independent-samples Mann-Whitney U-test. RESULTS: Among 6721 included articles, the mean Altmetric score was 3.76 ± 15.69 and the mean number of citations received was 9.61 ± 22.16. When accounting for relevant control variables, the Altmetric score was a significant predictor of the total number of citations accumulated at 3 years (variability of 10.17%). On statistical testing, the Altmetric score was significantly higher in publications with ≥ 10 citations (p < 0.001). CONCLUSIONS: The authors report a strong, statistically significant correlation between the Altmetric score and the number of citations received. To their knowledge, this is the first study to demonstrate the impact of social media academic activity on neurosurgery article citation dissemination, potentially influencing resident medical education.