Effects of delay to stroke unit admission in patients with ischemic and hemorrhagic stroke.

OBJECTIVE: To determine the association between delay in transfer to a central stroke unit from peripheral institutions and outcomes. METHODS: We conducted a retrospective cohort study of all patients with acute stroke, admitted to a comprehensive stroke center (CSC) from three emergency departments (EDs), between 2016 and 2018. The primary outcomes were length of stay, functional status at 3 months, discharge destination, and time to stroke investigations. RESULTS: One thousand four hundred thirty-five patients were included, with a mean age of 72.9 years, and 92.4% ischemic stroke; 663 (46.2%) patients were female. Each additional day of delay was associated with 2.0 days of increase in length of stay (95% confidence interval [CI] 0.8-3.2, p = 0.001), 11.5 h of delay to vascular imaging (95% CI 9.6-13.4, p < 0.0001), 24.2 h of delay to Holter monitoring (95% CI 7.9-40.6, p = 0.004), and reduced odds of nondisabled functional status at 3 months (odds ratio 0.98, 95% CI 0.96-1.00, p = 0.01). Factors affecting delay included stroke onset within 6 h of ED arrival (605.9 min decrease in delay, 95% CI 407.9-803.9, p < 0.0001), delay to brain imaging (59.4 min increase in delay for each additional hour, 95% CI 48.0-71.4, p < 0.0001), admission from an alternative service (3918.7 min increase in delay, 95% CI 3621.2-4079.9, p < 0.0001), and transfer from a primary stroke center (PSC; 740.2 min increase in delay, 95% CI 456.2-1019.9, p < 0.0001). CONCLUSION: Delay to stroke unit admission in a system involving transfer from PSCs to a CSC was associated with longer hospital stay and poorer functional outcomes.

Synthetic 2D Mammography Versus Standard 2D Digital Mammography: A Diagnostic Test Accuracy Systematic Review and Meta-Analysis.

BACKGROUND. The use of synthetic 2D mammography (SM) with digital breast tomosynthesis (DBT) in place of standard 2D digital mammography (DM) may reduce radiation dose without sacrificing accuracy. OBJECTIVE. The purpose of our study was to compare the diagnostic accuracy of SM, DM, SM with DBT, and DM with DBT for breast cancer detection. EVIDENCE ACQUISITION. A search of MEDLINE, Embase, and Cochrane databases was performed for relevant articles published up to September 11, 2019. Studies included compared the diagnostic accuracy of SM versus DM and SM plus DBT versus DM plus DBT for breast cancer detection. Relevant study data metrics and risk of bias were assessed. A bivariate random-effects meta-analysis and meta-regression were performed to assess diagnostic accuracy (PROSPERO CRD42020150737). EVIDENCE SYNTHESIS. Thirteen studies reporting on 201,304 patients (7252 patients with breast cancer) were included. The SM group (six studies: 20,728 patients, 724 with breast cancer) had 75% sensitivity (95% CI, 67-82%) and 92% specificity (95% CI, 85-96%). The DM group (nine studies: 52,082 patients, 2249 patients with breast cancer) had 73% sensitivity (95% CI, 65-80%) and 88% specificity (95% CI, 77-94%). The SM plus DBT group (10 studies, 64,224 patients, 2149 with breast cancer) had 85% sensitivity (95% CI, 80-89%) and 93% specificity (95% CI, 86-96%). The DM plus DBT group (nine studies, 64,270 patients, 2130 with breast cancer) had 84% sensitivity (95% CI, 80-88%) and 91% specificity (95% CI, 83-95%). Meta-regression models did not reveal significant differences in accuracy between the SM and DM groups (p = .25-.77). CONCLUSION. SM and SM plus DBT showed comparable diagnostic accuracy to DM and DM plus DBT, respectively. CLINICAL IMPACT. The findings support the implementation of SM in place of standard DM for mammographic imaging of the breasts. This may lead to an overall reduction in radiation exposure.