Objectives COVID-19 presents a risk for delays to stroke treatment. We examined how COVID-19 affected stroke response times. Methods A literature search was conducted to identify articles covering stroke during COVID-19 that included time metrics data pre- and post-pandemic. For each outcome, pooled relative change from baseline and 95% CI were calculated using random-effects models. Heterogeneity was explored through subgroup analyses comparing comprehensive stroke centers (CSCs) to non-CSCs. Results 38 included studies reported on 6109 patients during COVID-19 and 14 637 patients during the pre-COVID period. Pooled increases of 20.9% (95% CI 5.8% to 36.1%) in last-known-well (LKW) to arrival times, 1.2% (−2.9% to 5.3%) in door-to-imaging (DTI), 0.8% (–2.9% to 4.5%) in door-to-needle (DTN), 2.8% (−5.0% to 10.6%) in door-to-groin (DTG), and 19.7% (11.1% to 28.2%) in door-to-reperfusion (DTR) times were observed during COVID-19. At CSCs, LKW increased by 24.0% (−0.3% to 48.2%), DTI increased by 1.6% (−3.0% to 6.1%), DTN increased by 3.6% (1.2% to 6.0%), DTG increased by 4.6% (−5.9% to 15.1%), and DTR increased by 21.2% (12.3% to 30.1%). At non-CSCs, LKW increased by 12.4% (−1.0% to 25.7%), DTI increased by 0.2% (−2.0% to 2.4%), DTN decreased by −4.6% (−11.9% to 2.7%), DTG decreased by −0.6% (−8.3% to 7.1%), and DTR increased by 0.5% (−31.0% to 32.0%). The increases during COVID-19 in LKW (p=0.01) and DTR (p=0.00) were statistically significant, as was the difference in DTN delays between CSCs and non-CSCs (p=0.04). Conclusions Factors during COVID-19 resulted in significantly delayed LKW and DTR, and mild delays in DTI, DTN, and DTG. CSCs experience more pronounced delays than non-CSCs.

Middle meningeal artery embolization (MMAE) is an established treatment option for chronic subdural hematoma. The aim of this systematic review and meta-analysis was to establish estimates of the pooled incidence for complications following MMAE. PubMed, Embase, and Cochrane were searched for studies reporting complications following MMAE through January 2023. A random effects model was used to calculate the pooled incidence of complications stratified based on whether studies excluded patients with comorbidities. Preferred Reporting Items for Systematic Reviews and Meta-Analyses checklist was followed. A final 34 studies containing 921 patients undergoing MMAE were included that reported 35 complications. Neurological complications were reported in 7 studies with an overall pooled incidence of 3.8% (95% confidence interval [CI]: 2.6%-5.5%). Across these studies, there was a pooled incidence of 4.9% (95% CI: 2.9%-8.0%), 3.0% (95% CI: 1.7%-5.3%), and 2.1% (95% CI: 0.4%-9.7%) in studies that did not exclude, did not mention, or excluded patients with comorbidities, respectively. Similarly, 7 studies reported cardiovascular complications with an overall pooled incidence of 3.6% (95% CI: 2.4%-5.4%), 4 studies reported infectious complications with an overall pooled incidence of 2.9% (95% CI: 1.9%-4.5%), and 3 studies reported for miscellaneous complications with an overall pooled incidence of 3.1% (95% CI: 2.0%-4.8%). Further subgroup analysis revealed the pooled incidence of cardiovascular complications was 3.2% (95% CI: 1.7%-6.1%) in studies that did not exclude patients with comorbidities, 4.1% (95% CI: 2.3%-7.1%) in studies that did not specify the exclusion of such patients, and 1.8% (95% CI: 0.2%-11.5%) in studies that excluded these patients. Similarly, the incidence of infectious complications was 3.3% (95% CI: 1.7%-6.2%), 2.7% (95% CI: 1.5%-5.0%), and 1.8% (95% CI: 0.2%-11.5%) across these groups, respectively. Miscellaneous complications were reported at 4.0% (95% CI: 2.2%-7.2%), 2.3% (95% CI: 1.1%-4.6%), and 3.1% (95% CI: 0.9%-10.1%), respectively. The published literature suggests that MMAE is a generally well-tolerated procedure with a low risk of significant complications.

BACKGROUND AND OBJECTIVES: Digital phenotyping (DP) enables objective measurements of patient behavior and may be a useful tool in assessments of quality-of-life and functional status in neuro-oncology patients. We aimed to identify trends in mobility among patients with glioblastoma (GBM) using DP. METHODS: A total of 15 patients with GBM enrolled in a DP study were included. The Beiwe application was used to passively collect patient smartphone global positioning system data during the study period. We estimated step count, time spent at home, total distance traveled, and number of places visited in the preoperative, immediate postoperative, and late postoperative periods. Mobility trends for patients with GBM after surgery were calculated by using local regression and were compared with preoperative values and with values derived from a nonoperative spine disease group. RESULTS: One month postoperatively, median values for time spent at home and number of locations visited by patients with GBM decreased by 1.48 h and 2.79 locations, respectively. Two months postoperatively, these values further decreased by 0.38 h and 1.17 locations, respectively. Compared with the nonoperative spine group, values for time spent at home and the number of locations visited by patients with GBM 1 month postoperatively were less than control values by 0.71 h and 2.79 locations, respectively. Two months postoperatively, time spent at home for patients with GBM was higher by 1.21 h and locations visited were less than nonoperative spine group values by 1.17. Immediate postoperative values for distance traveled, maximum distance from home, and radius of gyration for patients with GBM increased by 0.346 km, 2.24 km, and 1.814 km, respectively, compared with preoperative values. CONCLUSIONS: :Trends in patients with GBM mobility throughout treatment were quantified through the use of DP in this study. DP has the potential to quantify patient behavior and recovery objectively and with minimal patient burden.