Development of a data dictionary for the Strategies for Post Arrest Resuscitation Care (SPARC) network for post cardiac arrest research

Lin, Steve; Morrison, Laurie J.; Brooks, Steven C.

doi:10.1016/j.resuscitation.2010.12.006

Cited by 40 publications

(19 citation statements)

References 24 publications

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“…In this retrospective study, we identified out-of-hospital cardiac arrests using the population-based Rescu Epistry cardiac arrest database, which is based on data definitions from the Cardiac Arrest Registry of the Resuscitation Outcomes Consortium 13 database and the Strategies for Post Arrest Resuscitation Care Network 11 database. In brief, the Rescu Epistry database is a prospective, population-based registry of consecutive out-of-hospital cardiac arrests attended by EMS personnel who were responding to 911 calls in a specific area of Ontario, including both urban and rural regions, that has a combined population of 6.6 million (see Fig.…”

Section: Methodsmentioning

confidence: 99%

Sudden Cardiac Arrest during Participation in Competitive Sports

et al. 2017

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BACKGROUND The incidence of sudden cardiac arrest during participation in sports activities remains unknown. Preparticipation screening programs aimed at preventing sudden cardiac arrest during sports activities are thought to be able to identify at-risk athletes; however, the efficacy of these programs remains controversial. We sought to identify all sudden cardiac arrests that occurred during participation in sports activities within a specific region of Canada and to determine their causes. METHODS In this retrospective study, we used the Rescu Epistry cardiac arrest database (which contains records of every cardiac arrest attended by paramedics in the network region) to identify all out-of-hospital cardiac arrests that occurred from 2009 through 2014 in persons 12 to 45 years of age during participation in a sport. Cases were adjudicated as sudden cardiac arrest (i.e., having a cardiac cause) or as an event resulting from a noncardiac cause, on the basis of records from multiple sources, including ambulance call reports, autopsy reports, in-hospital data, and records of direct interviews with patients or family members. RESULTS Over the course of 18.5 million person-years of observation, 74 sudden cardiac arrests occurred during participation in a sport; of these, 16 occurred during competitive sports and 58 occurred during noncompetitive sports. The incidence of sudden cardiac arrest during competitive sports was 0.76 cases per 100,000 athlete-years, with 43.8% of the athletes surviving until they were discharged from the hospital. Among the competitive athletes, two deaths were attributed to hypertrophic cardiomyopathy and none to arrhythmogenic right ventricular cardiomyopathy. Three cases of sudden cardiac arrest that occurred during participation in competitive sports were determined to have been potentially identifiable if the athletes had undergone preparticipation screening. CONCLUSIONS In our study involving persons who had out-of-hospital cardiac arrest, the incidence of sudden cardiac arrest during participation in competitive sports was 0.76 cases per 100,000 athlete-years. The occurrence of sudden cardiac arrest due to structural heart disease was uncommon during participation in competitive sports. (Funded by the National Heart, Lung, and Blood Institute and others.)

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Section: Methodsmentioning

confidence: 99%

Sudden Cardiac Arrest during Participation in Competitive Sports

et al. 2017

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“…This was a retrospective population-based cohort study using data from the Toronto Regional RescuNET cardiac arrest database; Rescu Epistry is compliant with the Resuscitation Outcomes Consortium (ROC) Epistry-Cardiac Arrest and based on the Strategies for Post Arrest Care methodologies described elsewhere (31,32). …”

Section: Methodsmentioning

confidence: 99%

Overcoming Spatial and Temporal Barriers to Public Access Defibrillators Via Optimization

Sun

Demirtaş

Brooks

et al. 2016

Journal of the American College of Cardiology

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BACKGROUND Immediate access to an automated external defibrillator (AED) increases the chance of survival from out-of-hospital cardiac arrest (OHCA). Current deployment usually considers spatial AED access, assuming AEDs are available 24 h a day. OBJECTIVES We sought to develop an optimization model for AED deployment, accounting for spatial and temporal accessibility, to evaluate if OHCA coverage would improve compared to deployment based on spatial accessibility alone. METHODS This was a retrospective population-based cohort study using data from the Toronto Regional RescuNET cardiac arrest database. We identified all nontraumatic public-location OHCAs in Toronto, Canada (January 2006 through August 2014) and obtained a list of registered AEDs (March 2015) from Toronto emergency medical services. We quantified coverage loss due to limited temporal access by comparing the number of OHCAs that occurred within 100 meters of a registered AED (assumed 24/7 coverage) with the number that occurred both within 100 meters of a registered AED and when the AED was available (actual coverage). We then developed a spatiotemporal optimization model that determined AED locations to maximize OHCA actual coverage and overcome the reported coverage loss. We computed the coverage gain between the spatiotemporal model and a spatial-only model using 10-fold cross-validation. RESULTS We identified 2,440 atraumatic public OHCAs and 737 registered AED locations. A total of 451 OHCAs were covered by registered AEDs under assumed 24/7 coverage, and 354 OHCAs under actual coverage, representing a coverage loss of 21.5% (p < 0.001). Using the spatiotemporal model to optimize AED deployment, a 25.3% relative increase in actual coverage was achieved over the spatial-only approach (p < 0.001). CONCLUSIONS One in 5 OHCAs occurred near an inaccessible AED at the time of the OHCA. Potential AED use was significantly improved with a spatiotemporal optimization model guiding deployment.

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“…The Toronto regional ROC-Epistry cardiac arrest database is a prospective population-based registry of consecutive, OHCA patients treated by paramedic providers of EMS agencies serving eight urban and rural regions of Ontario, Canada: Durham, Hamilton, Halton, Muskoka, Peel, Simcoe, Toronto, and York and encompassing a population of approximately 8.8 million people (23,25). The SPARC Network trial (NCT00683683) implemented a knowledge translation (KT) program to improve the delivery of care to post-cardiac arrest patients treated at 32 southern Ontario hospitals, all of which are currently destination hospitals for the EMS agencies participating in the Toronto regional ROC cardiac arrest registry (24,26).…”

Section: Study Design Setting and Populationmentioning

confidence: 99%