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    Emergency Medicine Physicians Accurately Select Acute Stroke Patients for Tissue-Type Plasminogen Activator Treatment Using a Checklist. Berekashvili Ketevan,Zha Alicia M,Abdel-Al Mohammed,Zhang Xu,Soomro Jazba H,Prater Samuel J,Grotta James C Stroke Background and Purpose- There is uncertainty among many emergency medicine physicians about the decision to give intravenous tPA (tissue-type plasminogen activator), which limits its use. A checklist approach has been suggested as a solution. We compared agreement on tPA treatment in suspected acute ischemic stroke patients between emergency medicine residents (EMRs) using a checklist and vascular neurology fellows (VNFs). Methods- Every suspected acute stroke patient brought to our comprehensive stroke center emergency room within 4.5 hours from symptom onset was prospectively evaluated simultaneously and independently by VNFs and EMRs. The latter used a tPA screening checklist, which included guideline exclusion criteria to help with their treatment decision. Agreement was determined using kappa (k) statistics. Results- Over 6 months, 60 patients were enrolled; 10% large vessel atherosclerosis, 18% cardioembolism, 12% small vessel, 12% cryptogenic, and 47% mimic. Forty-two percent were deemed tPA eligible by the EMR, 30% by the VNF, and 37% by the vascular neurology faculty. There were no complications in any tPA-treated patients. Agreement was substantial between EMR and VNF (κ=0.68 [95% CI, 0.49-0.87]) and between EMR and vascular neurology faculty (κ=0.69 [95% CI, 0.50-0.87]). Stroke mimics were the main cause of disagreement between EMR and VNF (κ=0.24 [95% CI, -0.15 to 0.63]) and between EMR and vascular neurology faculty (κ=0.35 [95% CI, -0.08 to 0.78]). Conclusions- Our data suggest that with the aid of a checklist, EMRs can accurately treat stroke patients with tPA. Areas for improvement include recognition of stroke mimics. Further studies are warranted to evaluate checklist-enhanced tPA treatment to allay emergency medicine physician uncertainty and expand the use of tPA. 10.1161/STROKEAHA.119.026948
    Modeling the Impact of Interhospital Transfer Network Design on Stroke Outcomes in a Large City. Parikh Neal S,Chatterjee Abhinaba,Díaz Iván,Pandya Ankur,Merkler Alexander E,Gialdini Gino,Kummer Benjamin R,Mir Saad A,Lerario Michael P,Fink Matthew E,Navi Babak B,Kamel Hooman Stroke BACKGROUND AND PURPOSE:We sought to model the effects of interhospital transfer network design on endovascular therapy eligibility and clinical outcomes of stroke because of large-vessel occlusion for the residents of a large city. METHODS:We modeled 3 transfer network designs for New York City. In model A, patients were transferred from spoke hospitals to the closest hub hospitals with endovascular capabilities irrespective of hospital affiliation. In model B, which was considered the base case, patients were transferred to the closest affiliated hub hospitals. In model C, patients were transferred to the closest affiliated hospitals, and transfer times were adjusted to reflect full implementation of streamlined transfer protocols. Using Monte Carlo methods, we simulated the distributions of endovascular therapy eligibility and good functional outcomes (modified Rankin Scale score, 0-2) in these models. RESULTS:In our models, 200 patients (interquartile range [IQR], 168-227) with a stroke amenable to endovascular therapy present to New York City spoke hospitals each year. Transferring patients to the closest hub hospital irrespective of affiliation (model A) resulted in 4 (IQR, 1-9) additional patients being eligible for endovascular therapy and an additional 1 (IQR, 0-2) patient achieving functional independence. Transferring patients only to affiliated hospitals while simulating full implementation of streamlined transfer protocols (model C) resulted in 17 (IQR, 3-41) additional patients being eligible for endovascular therapy and 3 (IQR, 1-8) additional patients achieving functional independence. CONCLUSIONS:Optimizing acute stroke transfer networks resulted in clinically small changes in population-level stroke outcomes in a dense, urban area. 10.1161/STROKEAHA.117.018166