Noreen Kamal

Analysis of Workflow and Time to Treatment on Thrombectomy Outcome in the Endovascular Treatment for Small Core and Proximal Occlusion Ischemic Stroke (ESCAPE) Randomized, Controlled Trial

Background— The Endovascular Treatment for Small Core and Proximal Occlusion Ischemic Stroke (ESCAPE) trial used innovative imaging and aggressive target time metrics to demonstrate the benefit of endovascular treatment in patients with acute ischemic stroke. We analyze the impact of time on clinical outcome and the effect of patient, hospital, and health system characteristics on workflow within the trial. Methods and Results— Relationship between outcome (modified Rankin Scale) and interval times was modeled by using logistic regression. Association between time intervals (stroke onset to arrival in endovascular-capable hospital, to qualifying computed tomography, to groin puncture, and to reperfusion) and patient, hospital, and health system characteristics were modeled by using negative binomial regression. Every 30-minute increase in computed tomography-to-reperfusion time reduced the probability of achieving a functionally independent outcome (90-day modified Rankin Scale 0–2) by 8.3% (P=0.006). Symptom onset-to-imaging time was not associated with outcome (P>0.05). Onset-to-endovascular hospital arrival time was 42% (34 minutes) longer among patients receiving intravenous alteplase at the referring hospital (drip and ship) versus direct transfer (mothership). Computed tomography-to-groin puncture time was 15% (8 minutes) shorter among patients presenting during work hours versus off hours, 41% (24 minutes) shorter in drip-ship patients versus mothership, and 43% (22 minutes) longer when general anesthesia was administered. The use of a balloon guide catheter during endovascular procedures shortened puncture-to-reperfusion time by 21% (8 minutes). Conclusions— Imaging-to-reperfusion time is a significant predictor of outcome in the ESCAPE trial. Inefficiencies in triaging, off-hour presentation, intravenous alteplase administration, use of general anesthesia, and endovascular techniques offer major opportunities for improvement in workflow. Clinical Trial Registration— URL: http://www.clinicaltrials.gov. Unique identifier: NCT01778335.

Endovascular treatment for Small Core and Anterior circulation Proximal occlusion with Emphasis on minimizing CT to recanalization times (ESCAPE) trial: methodology.

ESCAPE is a prospective, multicenter, randomized clinical trial that will enroll subjects with the following main inclusion criteria: less than 12 h from symptom onset, age > 18, baseline NIHSS >5, ASPECTS score of >5 and CTA evidence of carotid T/L or M1 segment MCA occlusion, and at least moderate collaterals by CTA. The trial will determine if endovascular treatment will result in higher rates of favorable outcome compared with standard medical therapy alone. Patient populations that are eligible include those receiving IV tPA, tPA ineligible and unwitnessed onset or wake up strokes with 12 h of last seen normal. The primary end-point, based on intention-to-treat criteria is the distribution of modified Rankin Scale scores at 90 days assessed using a proportional odds model. The projected maximum sample size is 500 subjects. Randomization is stratified under a minimization process using age, gender, baseline NIHSS, baseline ASPECTS (8–10 vs. 6–7), IV tPA treatment and occlusion location (ICA vs. MCA) as covariates. The study will have one formal interim analysis after 300 subjects have been accrued. Secondary end-points at 90 days include the following: mRS 0–1; mRS 0–2; Barthel 95–100, EuroQOL and a cognitive battery. Safety outcomes are symptomatic ICH, major bleeding, contrast nephropathy, total radiation dose, malignant MCA infarction, hemicraniectomy and mortality at 90 days.

Online social networks for personal informatics to promote positive health behavior

Social network services are becoming increasingly popular, and people are using these networks to obtain and share information. The application of social network and social media to the collection, storage and review of personal information presents opportunities for improved personal health management. This paper presents a survey of the literature on the models for the use of online social networks and models for health behavior change. These are then combined to present a framework for health behavior change through social media. This framework is then used to develop a prototype for the system design.

Drip ‘n Ship Versus Mothership for Endovascular Treatment: Modeling the Best Transportation Options for Optimal Outcomes

Background and Purpose— There is uncertainty regarding the best way for patients outside of endovascular-capable or Comprehensive Stroke Centers (CSC) to access endovascular treatment for acute ischemic stroke. The role of the nonendovascular-capable Primary Stroke Centers (PSC) that can offer thrombolysis with alteplase but not endovascular treatment is unclear. A key question is whether average benefit is greater with early thrombolysis at the closest PSC before transportation to the CSC (Drip ‘n Ship) or with PSC bypass and direct transport to the CSC (Mothership). Ideal transportation options were mapped based on the location of their endovascular-capable CSCs and nonendovascular-capable PSCs. Methods— Probability models for endovascular treatment were developed from the ESCAPE trial’s (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) decay curves and for alteplase treatment were extracted from the Get With The Guidelines decay curve. The time on-scene, needle-to-door-out time at the PSC, door-to-needle time at the CSC, and door-to-reperfusion time were assumed constant at 25, 20, 30, and 115 minutes, respectively. Emergency medical services transportation times were calculated using Google’s Distance Matrix Application Programming Interface interfaced with MATLAB’s Mapping Toolbox to create map visualizations. Results— Maps were generated for multiple onset-to-first medical response times and door-to-needle times at the PSCs of 30, 60, and 90. These figures demonstrate the transportation option that yields the better modeled outcome in specific regions. The probability of good outcome is shown. Conclusions— Drip ‘n Ship demonstrates that a PSC that is in close proximity to a CSC remains significant only when the PSC is able to achieve a door-to-needle time of ⩽30 minutes when the CSC is also efficient.

Drip and Ship Versus Direct to Comprehensive Stroke Center: Conditional Probability Modeling

The outcome of ischemic stroke is related to the volume of brain that is infarcted, and the volume of infarction is directly related to the time to reperfusion.1 In an anterior circulation, large-vessel ischemic stroke 1.9 million neurons are lost every minute.2 Treatment efficacy is dependent on time to treatment initiation. Acute ischemic stroke is treated medically with the administration of intravenous alteplase. Recent results of several randomized trials established the efficacy of endovascular treatment in ischemic stroke.3–8 The facilities and expertise needed for endovascular procedures are only available at endovascular capable centers (ECCs), which are typically tertiary care hospitals. Medical treatment with alteplase is more widely available. This creates 2 options for prehospital destination decision-making for suspected stroke: (1) transport the patient directly to the nearest ECC to receive alteplase and, if appropriate, immediate endovascular therapy even though this might mean bypassing a closer non-ECC (nECC; mothership model); or (2) transport the patient to the nearest nECC to receive alteplase and then transfer the patient to the nearest ECC for endovascular therapy (drip and ship model). There are advantages and disadvantages to each of these options, and it is currently unknown which of these options will lead to the highest probability of good outcome for the patient. The RACECAT trial in Barcelona, Spain, is planned to directly address this question (NCT02795962). Herein, we propose a methodology for addressing this problem using statistical probability modeling and suggest a candidate model for evaluation. ### Assumptions We make several assumptions in the development of the prediction models (Table I in the online-only Data Supplement). First, these models apply when there is uncertainty on which transport and treatment decision to choose. Second, the nECC is the closest treatment center to the location of stroke occurrence. If an ECC is the …

Good is not Good Enough: The Benchmark Stroke Door-to-Needle Time Should be 30 Minutes.

Noreen Kamal, Oscar Benavente, Karl Boyle, Brian Buck, Ken Butcher, Leanne K. Casaubon,RobertCote,AndrewMDemchuk,YanDeschaintre,DarDowlatshahi,GordonJGubitz,GaryHunter,Tom Jeerakathil, Albert Jin, Eddy Lang, Sylvain Lanthier, Patrice Lindsay, Nancy Newcommon,Jennifer Mandzia, Colleen M. Norris, Wes Oczkowski, Celine Odier, Stephen Phillips,Alexandre Y Poppe, Gustavo Saposnik, Daniel Selchen, Ashfaq Shuaib, Frank Silver, Eric E Smith,Grant Stotts, Michael Suddes, Richard H. Swartz, Philip Teal, Tim Watson, Michael D. Hill

TimeSpan: Using Visualization to Explore Temporal Multi-dimensional Data of Stroke Patients

We present TimeSpan, an exploratory visualization tool designed to gain a better understanding of the temporal aspects of the stroke treatment process. Working with stroke experts, we seek to provide a tool to help improve outcomes for stroke victims. Time is of critical importance in the treatment of acute ischemic stroke patients. Every minute that the artery stays blocked, an estimated 1.9 million neurons and 12 km of myelinated axons are destroyed. Consequently, there is a critical need for efficiency of stroke treatment processes. Optimizing time to treatment requires a deep understanding of interval times. Stroke health care professionals must analyze the impact of procedures, events, and patient attributes on time-ultimately, to save lives and improve quality of life after stroke. First, we interviewed eight domain experts, and closely collaborated with two of them to inform the design of TimeSpan. We classify the analytical tasks which a visualization tool should support and extract design goals from the interviews and field observations. Based on these tasks and the understanding gained from the collaboration, we designed TimeSpan, a web-based tool for exploring multi-dimensional and temporal stroke data. We describe how TimeSpan incorporates factors from stacked bar graphs, line charts, histograms, and a matrix visualization to create an interactive hybrid view of temporal data. From feedback collected from domain experts in a focus group session, we reflect on the lessons we learned from abstracting the tasks and iteratively designing TimeSpan.

Ten-year trends in stroke admissions and outcomes in Canada

BACKGROUND We analyzed a 10-year stroke administrative dataset to examine trends in admissions, mortality, and discharge destination in Canada. METHODS We conducted an analysis of hospital administrative data from April 1st 2003 to March 31st 2013 from the Canadian Institute of Health Informations Discharge Abstract Database. Ten-year trends for population-based age- and sex-standardized admission rates were calculated. We reviewed 10-year trends in absolute stroke admissions for differences between provinces and age groups. Stroke 30-day in-hospital mortality rates were calculated and adjusted for sex, age, stroke type and comorbidities. We documented changes in discharge location for ischemic and hemorrhagic stroke patients discharged from acute care. RESULTS The rate of hospital admissions has declined from 140.2 to 117.5 (per 100,000 people). The number of absolute stroke admissions within provinces increased in Alberta and British Columbia (21.7% and 16.2% respectively). The proportion of stroke patients aged 40-69 years old increased by 4.8% (p<0.0001) over the 10 years, whereas the proportion aged over 70 decreased by 4.9% (p<0.0001). Risk-adjusted 30-day in-hospital mortality decreased from: 18.5% to 14.9% for all strokes; 15.2% to 12.1% for ischemic strokes; 35.6% to 29.7% for intracerebral hemorrhage; and 25.1% to 18.0% for subarachnoid hemorrhage. The absolute increase in patients requiring inpatient and outpatient support increased by 4% (p<0.0001). CONCLUSION The rate of admissions for stroke is decreasing but there is an increase in stroke admissions for younger patients. In-hospital mortality is decreasing; fewer patients are going directly home without services and more are requiring support services.

Rapid Assessment and Treatment of Transient Ischemic Attacks and Minor Stroke in Canadian Emergency Departments: Time for a Paradigm Shift.

A majority of acute cerebrovascular syndromes are transient ischemic attacks (TIA) or minor ischemic strokes. They are often thought of and managed as though benign, but are in fact a warning of impending disabling stroke. The risk of stroke progression or recurrence is highest in the first hours to days from initial symptom onset, with a 6.7% risk at 48 hours and a 10% risk by 7 days after a TIA.1,2 The highest risk period is early, with a median time to a recurrence or progression event of 1 day; many events occur overnight after the initial ictus.3 Many strokes are preventable after a TIA. Rapid diagnosis and treatment reduces the risk of stroke by as much as 80%4,5 and significantly reduces mortality, long-term disability, and costs.6,7 The estimated annual cost avoidance in Canada from the rapid assessment and treatment of TIA is

Determining the determinants of health behaviour change through an online social network

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