Abstract 15: Differential Impact of Comprehensive Stroke Care Capacity on in-Hospital Mortality After Stroke-j-aspect Study

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Koji Iihara ◽  
Kunihiho Nishimura ◽  
Akiko Kada ◽  
Satoru Kamitani ◽  
Jyoji Nakagawara ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Stroke Care ◽  
Mortality Rates ◽  
Diagnostic Techniques ◽  
Study Data ◽  
Hierarchical Logistic Regression ◽  
Level Of Consciousness ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Care Capacity

Background: The effectiveness of comprehensive stroke center (CSC) capacities on stroke mortality remains uncertain. We examined whether specific CSC capacities influenced in-hospital mortality of patients with ischemic and hemorrhagic stroke in a nationwide study. Methods and Results: Of 749 certified training institutions in Japan responded to a questionnaire survey regarding CSC capacities, specifically regarding the availability of personnel, diagnostic techniques, specific expertise, infrastructure, and educational components recommended for CSCs, 265 institutions agreed to participate in this study. Data on patients hospitalized for stroke between April 1, 2010 and March 31, 2011 were obtained from the Japanese Diagnosis Procedure Combination database. In-hospital mortality was analyzed using hierarchical logistic regression analysis adjusted for age, sex, level of consciousness on admission, and 25 fulfilled CSC items in each component. Data from 265 institutions and 53,170 emergency-hospitalized patients were analyzed. Mortality rates were 7.8% for patients with ischemic stroke, 16.8% for patients with intracerebral hemorrhage (ICH), and 28.1% for patients with subarachnoid hemorrhage (SAH). Mortality adjusted for age, sex, and level of consciousness was significantly correlated with different items in the five components recommended for CSC depending on stroke types (Table 1 and 2). Conclusions: CSC capacities were associated with reduced in-hospital mortality rates, and relevant aspects of care were found to be dependent on the type of stroke.

Abstract WP309: Effects of Comprehensive Stroke Care Capabilities on Outcome of Carotid Endarterectomy and Carotid Artery Stenting (from the J-ASPECT Study [2013 to 2015])

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Ataru Nishimura ◽  
Kunihiro Nishimura ◽  
Akiko Kada ◽  
Satoru Kamitani ◽  
Kuniaki Ogasawara ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Ischemic Stroke ◽  
Carotid Artery ◽  
Carotid Endarterectomy ◽  
Carotid Artery Stenting ◽  
Stroke Care ◽  
Mortality Rates ◽  
Diagnostic Techniques ◽  
Comprehensive Stroke Center ◽  
Stroke Center

Background: The effectiveness of comprehensive stroke center (CSC) capabilities on outcome of carotid endarterectomy (CEA) and carotid artery stenting (CAS) remains uncertain. We performed a nationwide study to examine whether CSC capabilities influenced in-hospital outcome of CEA and CAS. Methods: We analyzed 12,943 carotid artery stenosis patients treated with CEA or CAS in 350 certified training hospitals in Japan. Data between April 1, 2013 and May 31, 2015 was obtained from Japanese Diagnosis Procedure Combination Database. Among the institutions that responded, outcome was assessed by in-hospital mortality, ischemic stroke and myocardial infarction. CSC capabilities were evaluated from the 749 certified training institutions in Japan, which responded to a questionnaire survey regarding CSC capabilities that queried the availability of personnel, diagnostic techniques, specific expertise, infrastructure, and educational components recommended for CSCs. Total CSC scores of the participating hospitals were classified into quartiles (Q1: 0-15, Q2: 16-17, Q3: 18-19, Q4: 20-24). Results: The proportion of CEA and CAS were 5068 and 7875 (2013: 1685 and 2590, 2014: 1668 and 2564, 2015: 1715 and 2721). Between CEA and CAS, mortality rates were 0.24% and 0.75%, ischemic stroke were 8.41% and 7.56% and myocardial infarction were 0.76% and 0.17%. These outcomes had no differences among the years. There was tendency that mortality rates were lower with high total CSC scores in patients with CEA (Q1: 0.42%, Q2: 0.26%, Q3: 0.12%, Q4: 0%, P=0.16), but there were no differences with CAS (Q1: 1.0%, Q2: 0.74%, Q3: 0.63%, Q4: 0.83%, P=0.73). Ischemic stroke were significantly lower with high CSC scores in CEA (Q1: 9.76%, Q2: 10.77%, Q3: 9.14%, Q4: 6.59%, P<0.05) and CAS (Q1: 9.86%, Q2: 8.76%, Q3: 7.14%, Q4: 6.98%, P<0.05). Myocardial infarction had no correlation with CSC scores in CEA (Q1: 0.21%, Q2: 0.35%, Q3: 0%, Q4: 0.36%, P=0.37) and CAS (Q1: 0.3%, Q2: 0%, Q3: 0.31%, Q4: 0.16%, P=0.19). Conclusion: It is reported using the data of Nationwide Inpatient Sample that operator volume was an important predictor of postprocedural outcomes in CAS. We demonstrated that CSC capabilities were associated with reduced in-hospital ischemic stroke in patients with CEA and CAS.

Abstract W P313: Effects of Organized Stroke Care on In-Hospital Mortality and Morbidity of Patients With Ischemic and Hemorrhagic Stroke: J-ASPECT Study

Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Kunihiro Nishimura ◽  
Satoru Kamitani ◽  
Michikazu Nakai ◽  
Akiko Kada ◽  
Fumiaki Nakamura ◽  
...  
Keyword(s):  
Hospital Mortality ◽  
Hemorrhagic Stroke ◽  
Strong Association ◽  
Stroke Care ◽  
Stroke Subtype ◽  
Mortality And Morbidity ◽  
Hierarchical Logistic Regression ◽  
Team Assessment ◽  
Stroke Team ◽  
Level Of Consciousness

Background and Purpose: The effectiveness of organized stroke care on stroke mortality and morbidity remains uncertain. We examined whether organized stroke care index (OCI), which graded 0-3 based on the presence of rehabilitation, stroke team assessment, and admission to a stroke unit developed by Saposnik (Neurology 2010) influence in-hospital mortality and morbidity of patients with ischemic and hemorrhagic stroke in a nationwide study. Methods: Of the 1369 certified training institutions in Japan, 749 hospitals responded to a questionnaire survey regarding comprehensive stroke care capacities. Among the institutions that responded, data on patients hospitalized between April 1, 2010 and March 31, 2011, because of stroke were obtained from the Japanese Diagnosis Procedure Combination database. In-hospital mortality morbidity was analyzed using hierarchical logistic regression analysis adjusted for age, sex, level of consciousness on admission, and the number of OCI fulfilled in each component and in total.It was supported by Grants-in-Aid from the Ministry of Health, Labour and Welfare of Japan Results: Data from 265 institutions and 53,170 emergency-hospitalized patients were analyzed. Patients fulfilled the criteria for admission to a SCU, stroke team assessment and the presence of rehabilitation were 28.9%, 42.1% and 95.1%, respectively. Mortality adjusted for age, sex, and level of consciousness was significantly correlated with admission to a SCU (OR=0.87, p=0.039), SCU team assessment (OR=0.88,p=0.029), and OCI ( OR=0.93, p=0.031). Modified ranking scale 0 to 2 rate were also associated with significantly SCU admission (p=0.003) .These association holds for ischemic stroke and subarachnoid hemorrhage. Conclusion: A strong association between organized stroke care and lower mortality was apparent. These data suggest that organized stroke care should be provided to stroke patients regardless of stroke subtype.

In-Hospital Stroke Care: A Six-Year Community-Based Primary Stroke Center Experience

2021 ◽  
pp. 194187442110070
Author(s):  
Felix Ejike Chukwudelunzu ◽  
Bart M Demaerschalk ◽  
Leonardo Fugoso ◽  
Emeka Amadi ◽  
Donn Dexter ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Statistical Significance ◽  
Intravenous Thrombolysis ◽  
Stroke Care ◽  
Community Based ◽  
Chi Square ◽  
Stroke Team ◽  
Primary Stroke Center ◽  
Stroke Center

Background and purpose: In-hospital stroke-onset assessment and management present numerous challenges, especially in community hospitals. Comprehensive analysis of key stroke care metrics in community-based primary stroke centers is under-studied. Methods: Medical records were reviewed for patients admitted to a community hospital for non-cerebrovascular indications and for whom a stroke alert was activated between 2013 and 2019. Demographic, clinical, radiologic and laboratory information were collected for each incident stroke. Descriptive statistical analysis was employed. When applicable, Kruskal-Wallis and Chi-Square tests were used to compare median values and categorical data between pre-specified groups. Statistical significance was set at alpha = 0.05. Results: There were 192 patients with in-hospital stroke-alert activation; mean age (SD) was 71.0 years (15.0), 49.5% female. 51.6% (99/192) had in-hospital ischemic and hemorrhagic stroke. The most frequent mechanism of stroke was cardioembolism. Upon stroke activation, 45.8% had ischemic stroke while 40.1% had stroke mimics. Stroke team response time from activation was 26 minutes for all in-hospital activations. Intravenous thrombolysis was utilized in 8% of those with ischemic stroke; 3.4% were transferred for consideration of endovascular thrombectomy. In-hospital mortality was 17.7%, and the proportion of patients discharged to home was 34.4% for all activations. Conclusion: The in-hospital stroke mortality was high, and the proportions of patients who either received or were considered for acute intervention were low. Quality improvement targeting increased use of acute stroke intervention in eligible patients and reducing hospital mortality in this patient cohort is needed.

scholarly journals Coronavirus disease 2019 is threatening stroke care systems: a real-world study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jiawei Xin ◽  
Xuanyu Huang ◽  
Changyun Liu ◽  
Yun Huang
Keyword(s):  
Real World ◽  
Mainland China ◽  
Stroke Care ◽  
Hospital Length ◽  
Real World Data ◽  
Care Systems ◽  
Long Term Prognosis ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Medical Burden

Abstract Background Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, the stroke care systems have been seriously affected because of social restrictions and other reasons. As the pandemic continues to spread globally, it is of great significance to understand how COVID-19 affects the stroke care systems in mainland China. Methods We retrospectively studied the real-world data of one comprehensive stroke center in mainland China from January to February 2020 and compared it with the data collected during the same period in 2019. We analyzed DTN time, onset-to-door time, severity, effects after treatment, the hospital length of stays, costs of hospitalization, etc., and the correlation between medical burden and prognosis of acute ischemic stroke (AIS) patients. Results The COVID-19 pandemic was most severe in mainland China in January and February 2020. During the pandemic, there were no differences in pre-hospital or in-hospital workflow metrics (all p>0.05), while the degree of neurological deficit on admission and at discharge, the effects after treatment, and the long-term prognosis were all worse (all p<0.05). The severity and prognosis of AIS patients were positively correlated with the hospital length of stays and total costs of hospitalization (all p<0.05). Conclusions COVID-19 pandemic is threatening the stroke care systems. Measures must be taken to minimize the collateral damage caused by COVID-19.

Impact of RapidAI mobile application on treatment times in patients with large vessel occlusion

2021 ◽  
pp. neurintsurg-2021-017365
Author(s):  
Mais Al-Kawaz ◽  
Christopher Primiani ◽  
Victor Urrutia ◽  
Ferdinand Hui
Keyword(s):  
Mobile Application ◽  
Secondary Analysis ◽  
Multiple Linear Regression Model ◽  
Stroke Care ◽  
Mobile App ◽  
Large Vessel ◽  
Vessel Occlusion ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Adjusted Model

BackgroundCurrent efforts to reduce door to groin puncture time (DGPT) aim to optimize clinical outcomes in stroke patients with large vessel occlusions (LVOs). The RapidAI mobile application (Rapid Mobile App) provides quick access to perfusion and vessel imaging in patients with LVOs. We hypothesize that utilization of RapidAI mobile application can significantly reduce treatment times in stroke care by accelerating the process of mobilizing stroke clinicians and interventionalists.MethodsWe analyzed patients presenting with LVOs between June 2019 and October 2020. Thirty-one patients were treated between June 2019 and March 2020 (pre-app group). Thirty-three patients presented between March 2020 and October 2020 (post-app group). Mann–Whitney U test and Kruskal–Wallis tests were used to examine variables that are not normally distributed. In a secondary analysis we analyzed interhospital time metrics between primary stroke centers and our comprehensive stroke center.ResultsBaseline demographic and vascular risk factors were similar in both groups. Use of Rapid Mobile App resulted in 33 min reduction in DGPT (P=0.02), 35 min reduction in door to first pass time (P=0.02), and 37 min reduction in door to recanalization time (P=0.02) in univariate analyses when compared with patients treated pre-app. In a multiple linear regression model, utilization of Rapid Mobile App significantly predicted shorter DGPT (P=0.002). In an adjusted model, National Institutes of Health Stroke Scale (NIHSS) 24 hours after procedure and at discharge were significantly lower in the post-app group (P=0.03). Time of transfer between primary and comprehensive stroke center was comparable in both groups (P=0.26).ConclusionIn patients with LVOs, the implementation of the RapidAI mobile application was independently associated with reductions in intrahospital treatment times.

Detection of Large Vessel Occlusion Stroke in the Prehospital Setting

Stroke ◽  
2021 ◽  
Author(s):  
Laura C.C. van Meenen ◽  
Maritta N. van Stigt ◽  
Arjen Siegers ◽  
Martin D. Smeekes ◽  
Joffry A.F. van Grondelle ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Stroke Care ◽  
Prehospital Setting ◽  
Large Vessel ◽  
Large Vessel Occlusion ◽  
User Friendliness ◽  
Vessel Occlusion ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Good Diagnostic Accuracy

A reliable and fast instrument for prehospital detection of large vessel occlusion (LVO) stroke would be a game-changer in stroke care, because it would enable direct transportation of LVO stroke patients to the nearest comprehensive stroke center for endovascular treatment. This strategy would substantially improve treatment times and thus clinical outcomes of patients. Here, we outline our view on the requirements of an effective prehospital LVO detection method, namely: high diagnostic accuracy; fast application and interpretation; user-friendliness; compactness; and low costs. We argue that existing methods for prehospital LVO detection, including clinical scales, mobile stroke units and transcranial Doppler, do not fulfill all criteria, hindering broad implementation of these methods. Instead, electroencephalography may be suitable for prehospital LVO detection since in-hospital studies have shown that quantification of hypoxia-induced changes in the electroencephalography signal have good diagnostic accuracy for LVO stroke. Although performing electroencephalography measurements in the prehospital setting comes with challenges, solutions for fast and simple application of this method are available. Currently, the feasibility and diagnostic accuracy of electroencephalography in the prehospital setting are being investigated in clinical trials.

scholarly journals Impact of COVID-19 Pandemic on the Incidence, Prehospital Evaluation, and Presentation of Ischemic Stroke at a Nonurban Comprehensive Stroke Center

2021 ◽  
Vol 2021 ◽  
pp. 1-5
Author(s):  
Cesar Velasco ◽  
Brandon Wattai ◽  
Scott Buchle ◽  
Alicia Richardson ◽  
Varun Padmanaban ◽  
...  
Keyword(s):  
Urban Areas ◽  
Stroke Care ◽  
Final Diagnosis ◽  
Medical Attention ◽  
Presenting Symptoms ◽  
Number Of Patients ◽  
Community Transmission ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
The Impact

Introduction. Many reports have described a decrease in the numbers of patients seeking medical attention for typical emergencies during the COVID-19 pandemic. These reports primarily relate to urban areas with widespread community transmission. The impact of COVID-19 on nonurban areas with minimal community transmission is less well understood. Methods. Using a prospectively maintained prehospital quality improvement database, we reviewed our hospital EMS transports with a diagnosis of stroke from January to April 2019 (baseline) and January to April 2020 (pandemic). We compared the volume of patients, transport/presentation times, severity of presenting symptoms, and final diagnosis. Results. In January, February, March, and April 2019, 10, 11, 17, and 19 patients, respectively, were transported in comparison to 19, 14, 10, and 8 during the same months in 2020. From January through April 2019, there was a 53% increase in transports, compared to a 42% decrease during the same months in 2020, constituting significantly different trend-line slopes (3.30; 95% CI 0.48–6.12 versus -3.70; 95% CI -5.76–-1.64, p = 0.001 ). Patient demographics, comorbidities, and symptom severity were mostly similar over the two time periods, and the number of patients with a final diagnosis of stroke was also similar. However, the median interval from EMS dispatch to ED arrival for patients with a final diagnosis of stroke was significantly longer in January to April 2020 ( 50 ± 11.7   min ) compared to the same time period in 2019 ( 42 ± 8.2   min , p = 0.01 ). Discussion/Conclusion. Our data indicate a decrease in patient transport volumes and longer intervals to EMS activation for suspected stroke care. These results suggest that even in a nonurban location without widespread community transmission, patients may be delaying or avoiding care for severe illnesses such as stroke. Clinicians and public health officials should not ignore the potential impact of pandemic-like illnesses even in areas of relatively low disease prevalence.

Abstract WP439: "You Gotta Troll to Enroll!" Nurses Actively Scouting Patients for Clinical Trials

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Betty Robertson ◽  
Denise Levesque ◽  
Nicole Wolber ◽  
Nili Steiner ◽  
Nancy Nunez ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Anticoagulation Therapy ◽  
Training Session ◽  
Stroke Care ◽  
Patient Identification ◽  
Stroke Team ◽  
Expert Nurses ◽  
Comprehensive Stroke Center ◽  
Stroke Center ◽  
Patient Enrollment

Problem/ Background: Evidence- based practice is the cornerstone in delivery of stroke care to optimize outcomes for patients. Research is the foundation to build and advance clinical practice. As a Comprehensive Stroke Center, we are charged with participating in IRB approved research. In 2016 the SUCCEED trial was stopped here as a result of low enrollment. The stroke nurses were not directly involved in that trial. In 2017, the stroke nurses partnered with our physicians and began the ARAMIS trial. This is a multicenter study of acute stroke patients taking anticoagulation therapy prior to admission and suffering a stroke. We recognized the need for our stroke nurses to collaborate, participate and use their expertise in identifying appropriate research patients for this study. Quality Question: Will tasking Stroke Nurses with identifying patients improve the enrollment of patients in ARAMIS trial? Methods: Stroke nurses attended an ARAMIS training session for physicians. Included in the meeting was review of inclusion/exclusion criteria for patient enrollment. A group e-mail was created for all participating in the study to help identify potential patients. When a patient was discovered an email was sent to the group alerting those responsible for obtaining consent for the study and data collection for the registry. Results: After one trial was ended due to low enrollment, the new ARAMIS trial opened. The stroke team nurses took the lead on identifying patients. Reviewing retrospective data starting in November 2017 until March 2019, 56 patients were enrolled in Aramis. Stroke nurses identified 43 patients (77%), Neurology fellows 10 (18%) and Faculty physicians 3 (5%). Conclusion: When including expert nurses in the patient identification process, the nurse plays a pivotal role in identifying appropriate patient for the MDs to enroll, thus, increasing enrollment in clinical trials. While additional tracking and trending needs to take place as new trails open, this trial makes clear the need for nurse involvement in identifying appropriate patients.

Abstract TP303: Real-world Eligibility for Revascularization in Acute Stroke: A 12 Year Single Center Statistics

Stroke ◽  
2016 ◽  
Vol 47 (suppl_1) ◽  
Author(s):  
Peter Vanacker ◽  
Dimitris Lambrou ◽  
Ashraf Eskandari ◽  
Patrik Michel
Keyword(s):  
Time Windows ◽  
Standard Of Care ◽  
Stroke Care ◽  
Regional Level ◽  
Effective Number ◽  
Single Center ◽  
Resource Needs ◽  
Liberal Approach ◽  
Comprehensive Stroke Center ◽  
Stroke Center

Aims: Endovascular treatment (EVT) for acute ischemic stroke (AIS) is the new standard of care for well selected, large vessel occlusive strokes. Hypothesis: We aimed to determine the frequency of patients potentially eligible for IV thrombolysis (IVT) and EVT based on the latest AHA/ASA guidelines. Methods: Data from a prespecified consecutive AIS registry (ASTRAL, 2003-2014) of a single comprehensive stroke center were examined. All AIS admitted <24hours and sufficient data to determine EVT-eligibility according to AHA/ASA guidelines (class I and IIa recommendations) on IVT and EVT were selected. Another set of more liberal criteria from different EVT trials and clinical practice was also tested. Time windows for EVT-eligibility was 4.5h (allowing for a door-to-groin delay ≤90min) and for IVT 3.5h (door-to-needle delay ≤60min). Results: A total of 2’704 AIS were included, of whom 26.8% were secondary transferrals. Proportion of IVT-eligible patients was 12.4% for all AIS, and 24.6% and 36.2% for patient arriving <24h and 6h respectively. Frequency of EVT-eligibility differed between the AHA/ASA guideline and the more liberal approach: 2.9% vs. 4.9% of all AIS and 10.5% vs. 17.7% of all patients arriving <6hours. These numbers are in line with the effective number of EVT applied in 2013 (15%) and 2014 (12%). Conclusions: Of patients arriving within 6h at a comprehensive stroke center, 10.5% are EVT eligible according to AHA/ASA criteria, nearly double (17.7%) with more liberal criteria, and again double for IV thrombolysis (36.2%). These figures may be useful for planning resource needs of stroke care on a regional level.

Abstract 5: Do Stroke Centers Reduce Mortality for Patients with Acute Ischemic Stroke? An Instrumental Variable Analysis

2011 ◽  
Vol 4 (suppl_1) ◽  
Author(s):  
Ying Xian ◽  
Robert G Holloway ◽  
Katia Noyes ◽  
Manish N Shah ◽  
Bruce Friedman
Keyword(s):  
New York ◽  
Ischemic Stroke ◽  
Hospital Mortality ◽  
Acute Ischemic Stroke ◽  
New York State ◽  
Selection Effect ◽  
Stroke Care ◽  
Instrumental Variable Analysis ◽  
All Cause Mortality ◽  
Stroke Center

Background: Although the establishment of stroke centers based on the Brain Attack Coalition recommendations has great potential to improve quality of stroke care, little is known about whether stroke centers improve health outcomes such as mortality. Methods: Using 2005-2006 New York State Statewide Planning and Research Cooperative System data, we identified 32,783 hospitalized patients age 18+ with a principal diagnosis of acute ischemic stroke (ICD-9 433.x1, 434.x1 and 436). We compared in-hospital mortality and up to one year all-cause mortality between New York State Designated Stroke Centers and non-stroke center hospitals. Because patients were not randomly assigned to hospitals, stroke centers might treat different types of patients than other hospitals (a selection effect). We used a “natural randomization” approach, instrumental variable analysis (differential distance was the instrument), to control for this selection effect. To determine whether the mortality difference was specific to stroke care, we repeated the analysis using a different group of patients with gastrointestinal (GI) hemorrhage (N=53,077). Results: Of the 32,783 stroke patients, nearly 50% (16,258) were admitted to stroke centers. Stroke centers had lower unadjusted in-hospital mortality and 30-, 90-, 180-, and 365-day all-cause mortality than non-stroke centers (7.0% vs. 7.8%, 10.0% vs. 12.6%, 14.6% vs. 17.5%, 18.0% vs. 21.0%, 22.4% vs. 26.2%, respectively). After adjusting for patient and hospital characteristics, comorbidities, and the patient selection effect, stroke centers were associated with significantly lower all-cause mortality. The adjusted differences were -2.6%, -2.7%, -1.8%, and -2.3% for 30-, 90-, 180- and 365-day mortality (all p<0.05). The adjusted difference in in-hospital mortality was -0.8% but was not statistically significant. In a specificity analysis of patients with GI hemorrhage, stroke centers had slightly higher mortality. Conclusions: Hospitals that are Designated Stroke Centers had lower mortality for acute ischemic stroke than non-stroke center hospitals. The mortality benefit was specific to stroke and was not observed for GI hemorrhage. Providing stroke centers nationwide has the potential to reduce mortality.

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