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      Components and Trends in Door to Treatment Times for Endovascular Therapy in Get With The Guidelines-Stroke Hospitals

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          Door-to-needle times for tissue plasminogen activator administration and clinical outcomes in acute ischemic stroke before and after a quality improvement initiative.

          The benefits of intravenous tissue plasminogen activator (tPA) in patients with acute ischemic stroke (AIS) are time dependent and guidelines recommend a door-to-needle (DTN) time of 60 minutes or less. However, studies have found that less than 30% of US patients are treated within this time window. Stroke was designed as a national quality improvement initiative to improve DTN times for tPA administration in patients with AIS. To evaluate DTN times for tPA administration and the proportion of patients with times of 60 minutes or less before and after initiation of a quality improvement initiative and to determine whether potential improvements in DTN times were associated with improvements in clinical outcomes. The Stroke initiative disseminated 10 care strategies to achieve faster DTN times for tPA administration, provided clinical decision support tools, facilitated hospital participation, and encouraged sharing of best practices. This study included 71,169 patients with AIS treated with tPA (27,319 during the preintervention period from April 2003-December 2009 and 43,850 during the postintervention period from January 2010-September 2013) from 1030 Get With The Guidelines-Stroke participating hospitals (52.8% of total). The DTN times for tPA administration of 60 minutes or less and in-hospital risk-adjusted mortality, symptomatic intracranial hemorrhage, ambulatory status at discharge, and discharge destination. Median DTN time for tPA administration declined from 77 minutes (interquartile range [IQR], 60-98 minutes) during the preintervention period to 67 minutes (IQR, 51-87 minutes) during the postintervention period (P < .001). The DTN times for tPA administration of 60 minutes or less increased from 26.5% (95% CI, 26.0%-27.1%) of patients during the preintervention period to 41.3% (95% CI, 40.8%-41.7%) during the postintervention period (P < .001). The DTN times of 60 minutes or less increased from 29.6% (95% CI, 27.8%-31.5%) of patients in the quarter immediately before the intervention (fourth quarter of 2009) to 53.3% (95% CI, 51.5%-55.2%) in the final postintervention quarter (third quarter of 2013) (P < .001). The annual rate of improvement in DTN times of 60 minutes or less increased from 1.36% (95% CI, 1.04%-1.67%) per year preintervention to 6.20% (95% CI, 5.58%-6.78%) per year postintervention (P < .001). In-hospital all-cause mortality improved significantly from the preintervention to the postintervention period (9.93% vs 8.25%, respectively; adjusted odds ratio [OR], 0.89 [95% CI, 0.83-0.94], P < .001), symptomatic intracranial hemorrhage within 36 hours was less likely to occur (5.68% vs 4.68%; adjusted OR, 0.83 [95% CI, 0.76-0.91], P < .001), and discharge to home was more frequent (37.6% vs 42.7%; adjusted OR, 1.14 [95% CI, 1.09-1.19], P < .001). Implementation of a national quality improvement initiative was associated with improved timeliness of tPA administration following AIS on a national scale, and this improvement was associated with lower in-hospital mortality and intracranial hemorrhage, along with an increase in the percentage of patients discharged home.
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            Get With the Guidelines-Stroke is associated with sustained improvement in care for patients hospitalized with acute stroke or transient ischemic attack.

            Adherence to evidence-based guidelines for treatment of stroke or transient ischemic attack is suboptimal. We sought to establish whether participation in Get With the Guidelines-Stroke was associated with improvements in adherence. This prospective, nonrandomized, national quality improvement program measured adherence to guideline recommendations in 322 847 hospitalized patients discharged with a diagnosis of ischemic stroke or transient ischemic attack. A volunteer sample of 790 US academic and community hospitals participated from 2003 through 2007. The main outcome measures were change in adherence over time to 7 prespecified performance measures and a composite measure (total number of interventions provided in eligible patients divided by total number of care opportunities among eligible patients). Generalized estimating equations were used to identify factors associated with improvement. Participation in Get With the Guidelines-Stroke was associated with improvements in the 7 individual and 1 composite measures from baseline to the fifth year: intravenous thrombolytics (42.09% versus 72.84%), early antithrombotics (91.46% versus 97.04%), deep vein thrombosis prophylaxis (73.79% versus 89.54%), discharge antithrombotics (95.68% versus 98.88%), anticoagulation for atrial fibrillation (95.03% versus 98.39%), lipid treatment for low-density lipoprotein >100 mg/dL (73.63% versus 88.29%), smoking cessation (65.21% versus 93.61%), and composite (83.52% versus 93.97%) (P<0.0001 for all comparisons). Multivariate analysis showed that time in Get With the Guidelines-Stroke was associated with a 1.18-fold yearly increase in the odds of fulfilling care opportunities that was independent of secular trends. Get With the Guidelines-Stroke participation was associated with increased adherence to all stroke performance measures. Markedly improved stroke care was seen in all hospitals regardless of size, geography, and teaching status.
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              Risk score for intracranial hemorrhage in patients with acute ischemic stroke treated with intravenous tissue-type plasminogen activator.

              There are few validated models for prediction of risk of symptomatic intracranial hemorrhage (sICH) after intravenous tissue-type plasminogen activator treatment for ischemic stroke. We used data from Get With The Guidelines-Stroke (GWTG-Stroke) to derive and validate a prediction tool for determining sICH risk. The population consisted of 10 242 patients from 988 hospitals who received intravenous tissue-type plasminogen activator within 3 hours of symptom onset from January 2009 to June 2010. This sample was randomly divided into derivation (70%) and validation (30%) cohorts. Multivariable logistic regression identified predictors of intravenous tissue-type plasminogen activator-related sICH in the derivation sample; model β coefficients were used to assign point scores for prediction. sICH within 36 hours was noted in 496 patients (4.8%). Multivariable adjusted independent predictors of sICH were increasing age (17 points), higher baseline National Institutes of Health Stroke Scale (42 points), higher systolic blood pressure (21 points), higher blood glucose (8 points), Asian race (9 points), and male sex (4 points). The C-statistic was 0.71 in the derivation sample and 0.70 in the independent internal validation sample. Plots of observed versus predicted sICH showed good model calibration in the derivation and validation cohorts. The model was externally validated in National Institute of Neurological Disorders and Stroke trial patients with a C-statistic of 0.68. The GWTG-Stroke sICH risk "GRASPS" score provides clinicians with a validated method to determine the risk of sICH in patients treated with intravenous tissue-type plasminogen activator within 3 hours of stroke symptom onset.
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                Author and article information

                Journal
                Circulation
                Circulation
                Ovid Technologies (Wolters Kluwer Health)
                0009-7322
                1524-4539
                January 08 2019
                January 08 2019
                : 139
                : 2
                : 169-179
                Affiliations
                [1 ]Calgary Stroke Program, Department of Clinical Neurosciences and Radiology, Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, Canada (B.K.M., M.G., E.E.S.).
                [2 ]Duke Clinical Research Institute (H.X., M.C., E.P., Y.X.), Duke University, Durham, NC.
                [3 ]Department of Neurology (J.L.S.), University of California, Los Angeles.
                [4 ]Departments of Biostatistics and Bioinformatics (R.M.), Duke University, Durham, NC.
                [5 ]Departments of Neurosurgery and Radiology (R.J.), University of California, Los Angeles.
                [6 ]Departments of Neurology and Neurosurgery, University of Miami Miller School of Medicine, FL (D.Y.).
                [7 ]Wellstar Neuroscience Institute, Georgia Institute of Technology, Marietta (R.G.).
                [8 ]Memorial Regional Hospital, Hollywood, FL (B.M.).
                [9 ]Brigham and Women’s Hospital Heart &amp; Vascular Center, Harvard Medical School, Boston, MA (D.L.B.).
                [10 ]Ahmanson-University of California, Los Angeles, Cardiomyopathy Center, Ronald Reagan-University of California, Los Angeles, Medical Center (G.C.F.), University of California, Los Angeles.
                [11 ]Department of Neurology, Massachusetts General Hospital, Boston (L.H.S.).
                Article
                10.1161/CIRCULATIONAHA.118.036701
                30586703
                c5a5a04d-1025-4dba-a817-9666319ed7c6
                © 2019
                History

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