Sudden cardiac death related to physical exercise in the young: a nationwide cohort study of Australia.

BACKGROUND: Sudden cardiac death (SCD) during physical exercise is devastating. AIMS: To evaluate causes and circumstances of exercise-related SCD in the young in Australia. METHODS: We reviewed the National Coronial Information System database for deaths in Australia relating to cardiovascular disease in cases aged 10-35 years between 2000 and 2016. Cases who had undertaken physical exercise at the time of the event were included. We collected demographics, circumstances of death, type of physical exercise, bystander cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use prior to ambulance arrival. RESULTS: Over a 17-year period, 1925 SCD cases were identified, of which 110 (6%) cases (median age 27 years (interquartile range 21-32 years); 92% male) were related to sports/physical exercise. Thirteen (12%) cases occurred in active athletes. Most common causes were coronary artery disease (CAD; 37%) and sudden arrhythmic death syndrome (SADS; 20%). Among Aboriginal and Torres Strait Islanders (n = 10), all deaths were related to CAD. Australian Rules Football (24%), running/jogging (14%) and soccer (14%) were the most frequent physical exercise activities. Prior symptoms were present in 39% (chest pain 37%, pre-syncope/syncope 26%). Most (87%) were witnessed, with bystander CPR in 70%. AED use prior to ambulance arrival was 8%. CONCLUSIONS: The present study demonstrates the high occurrence of CAD and SADS in SCD in the young related to physical exercise. Aboriginal and Torres Strait Islanders were disproportionately affected by CAD. Although events were commonly witnessed, AED was seldom used prior to ambulance arrival and highlights an important opportunity to improve outcomes in the post-arrest chain of survival.

Alert system-supported lay defibrillation and basic life-support for cardiac arrest at home.

AIMS: Automated external defibrillators (AEDs) are placed in public, but the majority of out-of-hospital cardiac arrests (OHCA) occur at home. METHODS AND RESULTS: In residential areas, 785 AEDs were placed and 5735 volunteer responders were recruited. For suspected OHCA, dispatchers activated nearby volunteer responders with text messages, directing two-thirds to an AED first and one-third directly to the patient. We analysed survival (primary outcome) and neurologically favourable survival to discharge, time to first defibrillation shock, and cardiopulmonary resuscitation (CPR) before Emergency Medical Service (EMS) arrival of patients in residences found with ventricular fibrillation (VF), before and after introduction of this text-message alert system. Survival from OHCAs in residences increased from 26% to 39% {adjusted relative risk (RR) 1.5 [95% confidence interval (CI): 1.03-2.0]}. RR for neurologically favourable survival was 1.4 (95% CI: 0.99-2.0). No CPR before ambulance arrival decreased from 22% to 9% (RR: 0.5, 95% CI: 0.3-0.7). Text-message-responders with AED administered shocks to 16% of all patients in VF in residences, while defibrillation by EMS decreased from 73% to 39% in residences (P < 0.001). Defibrillation by first responders in residences increased from 22 to 40% (P < 0.001). Use of public AEDs in residences remained unchanged (6% and 5%) (P = 0.81). Time from emergency call to defibrillation decreased from median 11.7 to 9.3 min; mean difference -2.6 (95% CI: -3.5 to -1.6). CONCLUSION: Introducing volunteer responders directed to AEDs, dispatched by text-message was associated with significantly reduced time to first defibrillation, increased bystander CPR and increased overall survival for OHCA patients in residences found with VF.

The association between the experience of lay responders and response interval to medical emergencies in a rural area: an observational study.

AIM: The aim of this retrospective observational study was to determine how response intervals correlated to the experience of the community first responders (CFRs) using data collected from the Danish Island of Langeland via a global positioning system (GPS)-based system. METHODS: All medical emergency calls involving CFRs in the time period from 21st of April 2012 to 31st of December 2017 were included. Each emergency call activated 3 CFRs. Response intervals were calculated using the time from when the system alerted the CFRs to CFR time of arrival at the emergency site measured by GPS. CFRs response intervals were grouped depending on their level of experience according to ≤ 10, 11-24, 25-49, 50-99, ≥ 100 calls accepted and arrived on-site. RESULTS: A total of 7273 CFR activations were included. Median response interval for the CFR arriving first on-site (n = 3004) was 4:05 min (IQR 2:42-6:01) and median response interval for the arrival of the CFR with an automated external defibrillator (n = 2594) was 5:46 min (IQR 3:59-8:05). Median response intervals were 5:53 min (3:43-8:29) for ≤ 10 calls (n = 1657), 5:39 min (3:49-8:01) for 11-24 calls (n = 1396), 5:45 min (3:49-8:00) for 25-49 calls (n = 1586), 5:07 min (3:38-7:26) for 50-99 calls (n = 1548) and 4:46 min (3:14-7:32) for ≥ 100 calls (n = 1086) (p < 0.001). There was a significant negative correlation between experience and response intervals (p < 0.001, Spearman's rho = -0.0914). CONCLUSION: This study found an inverse correlation between CFR experience and response intervals, which could lead to increased survival after a time-critical incident.

Learning of Basic Life Support through the Flipped Classroom in Secondary Schoolchildren: A Quasi-Experimental Study with 12-Month Follow-Up.

Background and Objectives: International institutions together with the World Health Organisation recommend the teaching of BLS in schools. Therefore, the objective of this research was to study the feasibility of teaching CPR and AED through the flipped classroom, exploring the medium- and long-term retention of knowledge and practical skills among high school students. Materials and Methods: The sample consisted of 260 secondary schoolchildren (137 in the experimental group (EG) and 123 in the control group (CG)) between 12 and 14 years old (M = 12.75 ± 1.02). Results: The data revealed that the EG obtained better post-course results in the correct position of the hands (p = 0.011), the depth of external cardiac compression (p > 0.001), and the mean time to apply an effective shock with the AED (p = 0.013). The CG obtained better results in compressions with complete chest re-expansion (p = 0.025). These differences disappeared at 6 months (p > 0.05) and 12 months (p > 0.05). Conclusions: A training program based on the flipped classroom is as effective and viable as traditional training, although more efficient since it is applied in less time, in the sequence of action in BLS, CPR skills, and the application of an effective shock with an AED.

Prehospital Predictors of Survival in Patients with Out-of-Hospital Cardiac Arrest.

Background and Objectives: Despite advances in the treatment of heart diseases, the outcome of patients experiencing sudden cardiac arrest remains poor. The aim of our study was to determine the prehospital variables as predictors of survival outcomes in out-of-hospital cardiac arrest (OHCA) victims. Materials and Methods: This was a retrospective observational cohort study of OHCA cases. EMS protocols created in accordance with the Utstein style reporting for OHCA, first responder intervention reports, medical dispatch center dispatch protocols and hospital medical reports were all reviewed. Multivariate logistic regression was performed with the following variables: age, gender, witnessed status, location, bystander CPR, first rhythm, and etiology. Results: A total of 381 interventions with resuscitation attempts were analyzed. In more than half (55%) of them, bystander CPR was performed. Thirty percent of all patients achieved return of spontaneous circulation (ROSC), 22% of those achieved 30-day survival (7% of all OHCA victims), and 73% of those survived with Cerebral Performance Score 1 or 2. The logistic regression model of adjustment confirms that shockable initial rhythm was a predictor of ROSC [OR: 4.5 (95% CI: 2.5-8.1)] and 30-day survival [OR: 9.3 (95% CI: 2.9-29.2)]. Age was also associated (≤67 years) [OR: 3.9 (95% CI: 1.3-11.9)] with better survival. Conclusions: Elderly patients have a lower survival rate. The occurrence of bystander CPR in cardiac arrest remains alarmingly low. Shockable initial rhythm is associated with a better survival rate and neurological outcome compared with non-shockable rhythm.

A review of progress and an advanced method for shock advice algorithms in automated external defibrillators.

Shock advice algorithm plays a vital role in the detection of sudden cardiac arrests on electrocardiogram signals and hence, brings about survival improvement by delivering prompt defibrillation. The last decade has witnessed a surge of research efforts in racing for efficient shock advice algorithms, in this context. On one hand, it has been reported that the classification performance of traditional threshold-based methods has not complied with the American Heart Association recommendations. On the other hand, the rise of machine learning and deep learning-based counterparts is paving the new ways for the development of intelligent shock advice algorithms. In this paper, we firstly provide a comprehensive survey on the development of shock advice algorithms for rhythm analysis in automated external defibrillators. Shock advice algorithms are categorized into three groups based on the classification methods in which the detection performance is significantly improved by the use of machine learning and/or deep learning techniques instead of threshold-based approaches. Indeed, in threshold-based shock advice algorithms, a parameter is calculated as a threshold to distinguish shockable rhythms from non-shockable ones. In contrast, machine learning-based methods combine multiple parameters of conventional threshold-based approaches as a set of features to recognize sudden cardiac arrest. Noticeably, those features are possibly extracted from stand-alone ECGs, alternative signals using various decomposition techniques, or fully augmented ECG segments. Moreover, these signals can be also used directly as the input channels of deep learning-based shock advice algorithm designs. Then, we propose an advanced shock advice algorithm using a support vector machine classifier and a feature set extracted from a fully augmented ECG segment with its shockable and non-shockable signals. The relatively high detection performance of the proposed shock advice algorithm implies a potential application for the automated external defibrillator in the practical clinic environment. Finally, we outline several interesting yet challenging research problems for further investigation.

AEDNav: indoor navigation for locating automated external defibrillator.

BACKGROUND: In a sudden cardiac arrest, starting CPR and applying an AED immediately are the two highest resuscitation priorities. Many existing mobile applications have been developed to assist users in locating a nearby AED. However, these applications do not provide indoor navigation to the AED location. The time required to locate an AED inside a building due to a lack of indoor navigation systems will reduce the patient's chance of survival. The existing indoor navigation solutions either require special hardware, a large dataset or a significant amount of initial work. These requirements make these systems not viable for implementation on a large-scale. METHODS: The proposed system collects Wi-Fi information from the existing devices and the path's magnetic information using a smartphone to guide the user from a starting point to an AED. The information collected is processed using four techniques: turn detection method, Magnetic data pattern matching method, Wi-Fi fingerprinting method and Closest Wi-Fi location method to estimate user location. The user location estimations from all four techniques are further processed to determine the user's location on the path, which is then used to guide the user to the AED location. RESULTS: The four techniques used in the proposed system Turn detection, Magnetic data pattern matching, Closest Wi-Fi location and Wi-Fi fingerprinting can individually achieve the accuracy of 80% with the error distance ± 9.4 m, ± 2.4 m, ± 4.6 m, and ± 4.6 m respectively. These four techniques, applied individually, may not always provide stable results. Combining these techniques results in a robust system with an overall accuracy of 80% with an error distance of ± 2.74 m. In comparison, the proposed system's accuracy is higher than the existing systems that use Wi-Fi and magnetic data. CONCLUSION: This research proposes a novel approach that requires no special hardware, large scale data or significant initial work to provide indoor navigation. The proposed system AEDNav can achieve an accuracy similar to the existing indoor navigation systems. Implementing this indoor navigation system could reduce the time to locate an AED and ultimately increase patient survival during sudden cardiac arrest.

Optimization of End-to-End Convolutional Neural Networks for Analysis of Out-of-Hospital Cardiac Arrest Rhythms during Cardiopulmonary Resuscitation.

High performance of the shock advisory analysis of the electrocardiogram (ECG) during cardiopulmonary resuscitation (CPR) in out-of-hospital cardiac arrest (OHCA) is important for better management of the resuscitation protocol. It should provide fewer interruptions of chest compressions (CC) for non-shockable organized rhythms (OR) and Asystole, or prompt CC stopping for early treatment of shockable ventricular fibrillation (VF). Major disturbing factors are strong CC artifacts corrupting raw ECG, which we aimed to analyze with optimized end-to-end convolutional neural network (CNN) without pre-filtering or additional sensors. The hyperparameter random search of 1500 CNN models with 2-7 convolutional layers, 5-50 filters and 5-100 kernel sizes was done on large databases from independent OHCA interventions for training (3001 samples) and validation (2528 samples). The best model, named CNN3-CC-ECG network with three convolutional layers (filters@kernels: 5@5,25@20,50@20) presented Sensitivity Se(VF) = 89%(268/301), Specificity Sp(OR) = 91.7%(1504/1640), Sp(Asystole) = 91.1%(3325/3650) on an independent test OHCA database. CNN3-CC-ECG's ability to effectively extract features from raw ECG signals during CPR was comprehensively demonstrated, and the dependency on the CPR corruption level in ECG was tested. We denoted a significant drop of Se(VF) = 74.2% and Sp(OR) = 84.6% in very strong CPR artifacts with a signal-to-noise ratio of SNR < -9 dB, p < 0.05. Otherwise, for strong, moderate and weak CC artifacts (SNR > -9 dB, -6 dB, -3 dB), we observed insignificant performance differences: Se(VF) = 92.5-96.3%, Sp(OR) = 93.4-95.5%, Sp(Asystole) = 92.6-94.0%, p > 0.05. Performance stability with respect to CC rate was validated. Generalizable application of the optimized computationally efficient CNN model was justified by an independent OHCA database, which to our knowledge is the largest test dataset with real-life cardiac arrest rhythms during CPR.

Evaluation of Autonomous Actions on Bystander-Initiated Cardiopulmonary Resuscitation and Public Access Defibrillation in Tokyo.

The frequencies of autonomous bystander-initiated cardiopulmonary resuscitation (CPR) and public access defibrillation have not yet been clarified. We aimed to evaluate the frequency of autonomous actions by citizens not having a duty to act.This retrospective observational study included patients who suffered an out-of-hospital cardiac arrest (OHCA) in Tokyo between January 1, 2013 and December 31, 2017. The Delphi method with a panel of 11 experts classified the locations of OHCA resuscitations into 3 categories as follows; autonomous, non autonomous, and undetermined. The locations determined as autonomous were further divided into 2 groups; home and other locations. Bystander-initiated CPR and application of an automated external defibrillator (AED) pad were evaluated in 43,460 patients with OHCA.Group A (non autonomous), group B (autonomous, not home), and group C (home), consisted of 7,352, 3,193, and 32,915 patients, respectively. Compared with group A, group B and group C had significantly lower rates of bystander-initiated CPR (group A, B, C; 68.3% versus 38.6% versus 23.9%) and AED pad application (groups A, B, C; 26.8% versus 15.1% versus 0.6%). In addition, multivariate analysis demonstrated that an autonomous location of resuscitation was independently associated with the frequencies of bystander-initiated CPR and AED pad application, even after adjusting for age, sex, and witness status.Autonomous actions by citizens were unacceptably infrequent. Therefore, the education and training of citizens is necessary to further enhance autonomous CPR.

Resuscitation with an AED: putting the data to use.

The increased use of the automated external defibrillator (AED) contributes to the rising survival rate after sudden cardiac arrest in the Netherlands. When used, the AED records the unconscious person's medical data (heart rhythm and information about cardiopulmonary resuscitation), which may be important for further diagnosis and treatment. In practice, ethical and legal questions arise about what can and should be done with these 'AED data'. In this article, the authors advocate the development of national guidelines on the handling of AED data. These guidelines should serve two purposes: (1) to safeguard that data are handled carefully in accordance with data protection principles and the rules of medical confidentiality; and (2) to ensure nationwide availability of data for care of patients who survive resuscitation, as well as for quality monitoring of this care and for related scientific research. Given the medical ethical duties of beneficence and fairness, existing (sometimes lifesaving) information about AED use ought to be made available to clinicians and researchers on a structural basis. Creating a national AED data infrastructure, however, requires overcoming practical and organisational barriers. In addition, further legal study is warranted.

[Basic life support]. / Basismaßnahmen zur Wiederbelebung Erwachsener (Basic Life Support): Leitlinien des European Resuscitation Council 2021.

The European Resuscitation Council has produced these basic life support guidelines, which are based on the 2020 International Consensus on Cardiopulmonary Resuscitation Science with Treatment Recommendations. The topics covered include cardiac arrest recognition, alerting emergency services, chest compressions, rescue breaths, automated external defibrillation (AED), cardiopulmonary resuscitation (CPR) quality measurement, new technologies, safety, and foreign body airway obstruction.

An outcome study of adult in-hospital cardiac arrests in non-monitored areas with resuscitation attempted using AED.

OBJECTIVES: To investigate the outcomes of patients with in-hospital cardiac arrest (IHCA) who underwent cardiopulmonary resuscitation (CPR) using an automated external defibrillator (AED) in non-monitored areas. Additionally, to detect correlated factors associated with rate of return of spontaneous circulation (ROSC) and survival rate, among collected data. METHODS: This study included 109 patients. After investigating patient characteristics and resuscitation-related factors, the correlated factors associated with ROSC rates and survival rate were analyzed using univariate and multivariate analyses. RESULTS: The rate of survival to hospital discharge was 21.1%. CPR with AED performed since 2013 was associated with a higher ROSC rate (adjusted odds ratio [AOR] 3.24, 95% confidence interval [CI]: 1.21 to 9.52, p < 0.05), but not with the survival rate after ROSC. Tracheal intubation was significantly associated with a higher ROSC rate (AOR 3.62, 95% CI: 1.27 to 11.7, p < 0.05) and a lower survival rate after ROSC (hazard ratio 6.6, 95% CI: 1.2 to 43.3, p < 0.05). Dysrhythmia as the cause of cardiac arrest and intensive care unit (ICU) admission after ROSC were associated with higher survival rates (hazard ratio 0.056, 95% CI: 0.004 to 0.759, p < 0.05, and hazard ratio 0.072, 95% CI: 0.017 to 0.264, p < 0.0001, respectively). CONCLUSIONS: The factors associated with ROSC rate and those associated with the survival rate after ROSC were different. Although initial shockable rhythms on AED were not associated with the survival rate, dysrhythmia as the etiology of cardiac arrest, and ICU admission were significantly associated with higher survival rates after ROSC.

School Nurses' Perceived Barriers and Perceptual Influences When Implementing AED Programs.

School nurses' experienced barriers and benefits with perceptions of self-efficacy are important factors to consider for program implementation in the school setting. Little research has been done in the area of automated external defibrillator (AED) program implementation by the school nurse for the treatment of sudden cardiac arrest. The purpose of this study was to identify benefits of and barriers to AED program implementation in public schools and measure school nurses' self-efficacy related to their role as a change agent in program implementation. Results revealed that school nurses are functioning with a high level of self-efficacy in their ability to influence major health-care decisions in the school setting, and despite barriers, AED program implementation is considered beneficial and a necessary component of emergency care.

Public-access automated external defibrillation and bystander-initiated cardiopulmonary resuscitation in schools: a nationwide investigation in Japan.

AIMS: We aimed to reveal the effects of application of public-access automated external defibrillators (AEDs) and bystander-initiated cardiopulmonary resuscitation (CPR) on survival of paediatric patients with out-of-hospital cardiac arrest (OHCA) occurring on school campuses in Japan. METHODS AND RESULTS: Data were obtained from a nationwide prospective observational study of paediatric OHCAs in school settings in Japan, termed Stop and Prevent cardIac aRrest, Injury, and Trauma in Schools (SPIRITS). Non-traumatic OHCA patients from elementary school, junior high school, and high school/technical college between April 2008 and December 2015 were enrolled. A multivariable logistic regression analysis was conducted to assess the effect of bystander interventions (i.e. public-access AED application and bystander-CPR) on 30-day survival with favourable neurological outcome. In total, 232 OHCA cases were analysed. The proportion of 30-day survival with favourable neurological outcome was significantly higher among the patients receiving both public-access AED application and bystander-CPR than those without any bystander intervention (50.9% vs. 20.0%, adjusted odds ratio 4.08, 95% confidence interval 1.25-13.31; P = 0.020). During the study period, the proportion of patients to whom public-access AEDs were applied increased significantly (from 61.9% in 2008 to 87.0% in 2015, P-for trend = 0.014). Accordingly, the proportion of 30-day survival with favourable neurological outcome improved significantly (from 38.1% in 2005 to 56.5% in 2015, P-for trend = 0.026). CONCLUSION: The combination of public-access AED application and bystander-CPR increased the chance of survival approximately four-fold in schools. The nationwide efforts towards disseminating public-access defibrillation systems in school settings may reduce the risk of sudden cardiac death among school children.

Public-Access Defibrillation and Survival of Out-of-Hospital Cardiac Arrest in Public vs. Residential Locations in Japan.

BACKGROUND: This study assessed whether the dissemination of public-access defibrillation (PAD) at the population level is associated with an increase in neurologically favorable outcomes among patients experiencing ventricular fibrillation (VF) in public vs. residential locations in Japan.Methods and Results:We enrolled adult patients with bystander-witnessed VF between 2013 and 2015. The primary outcome measure was 1-month neurologically favorable outcome defined by cerebral performance category 1 or 2. The number of survivors with neurologically favorable outcome attributed to PAD after VF arrest was estimated by location of arrest. A total of 16,252 adult patients with bystander-witnessed VF arrest were analyzed. In public locations, 29.3% (2,334/7,973) of out-of-hospital cardiac arrest (OHCA) patients received PAD, whereas 1.1% (89/8,279) of OHCA patients received PAD in residential locations. OHCA patients with PAD had significantly better neurological outcomes compared with those without PAD in public locations (51.8% vs. 25.5%, P<0.001), whereas there were no significant differences in neurologically favorable outcome between patients with or without PAD in residential locations (22.5% vs. 18.6%, P=0.357). The total number of patients with neurologically favorable outcomes attributed to PAD was estimated at 615 in public locations, but only 3 in residential locations. CONCLUSIONS: In Japan, when compared with residential locations, PAD works more successfully in public locations for adults with bystander-witnessed VF arrest.

Significance of automated external defibrillator in identifying lethal ventricular arrhythmias.

Automated electrical defibrillator (AED) is critical in saving children who develop unexpected cardiac arrest (CA), but its diagnostic capacity is not fully acknowledged. Retrospective cohort study of patients with aborted sudden cardiac death (SCD) was performed. Twenty-five patients (14 males) aged 1.3 to 17.5 years who presented with CA survived with prompt cardiopulmonary resuscitation. Eighteen patients had no prior cardiac diagnosis. Cardiac arrest occurred in 10 patients with more than moderate exercise, in 7 with light exercise, and in 8 at rest (including one during sleep). Twenty-two patients were resuscitated with AED, all of which were recognized as a shockable cardiac rhythm. Thorough investigations revealed 6 ion channelopathies (4 catecholaminergic polymorphic ventricular tachycardia, one long QT syndrome, and one Brugada syndrome), 5 congenital heart disease (including 2 with coronary artery obstruction), 6 cardiomyopathies, 2 myocarditis, and 2 miscellaneous. Four patients had no identifiable heart disease. In 5 patients, the downloaded AED-recorded rhythm strip delineated the underlying arrhythmias and their responses to electrical shocks. Four patients who presented with generalized seizure at rest were initially managed for seizure disorder until AED recording identified lethal ventricular arrhythmias.Conclusions: AED reliably identifies the underlying lethal ventricular arrhythmias in addition to aborting SCD. What is Known: • Although infrequent in children, sudden cardiac death (SCD) is often an unexpected and tragic event. The etiology is diverse and sometimes remains unknown despite extensive investigations. • Automated external defibrillator (AED) is both therapeutic in aborting SCD and diagnostic in identifying the underlying lethal ventricular arrhythmias. However, the diagnostic aspect of AED is under-acknowledged by most medical providers. What is New: • Four of 25 patients (16%) were initially managed for possible seizure disorders until AED recording identified lethal ventricular arrhythmia. • The AED recording of the lethal arrhythmia during cardiopulmonary resuscitation (CPR) should always be obtained as it plays a crucial role in the decision-making process before ICD implantation. All medical providers should become familiar with downloading cardiac rhythm strips from AED when requested.

Availability and Use of an Automated External Defibrillator at Emergency Medical Dispatch.

Objective: The aim of this study was to determine the frequency of automatic external defibrillator (AED) retrieval and placement by bystander callers when prompted by an Emergency Medical Dispatcher (EMD). Methods: This retrospective descriptive study utilized a convenience sample of emergency dispatch data collected from 23 Emergency Communication Centers (ECCs) spanning 14 states across the United States (U.S.) from July 11, 2014 to August 13, 2018, including all cases in which the EMD recorded any response to the AED availability prompt. Data were collected using ProQA, the software version of the Medical Priority Dispatch System. Primary outcome measures were (a) distribution of responses to the AED prompt; (b) percentage of cases in which an AED was retrieved; and (c) percentage of cases in which AED pads were placed by the bystander-caller. Results: A total of 2,200,285 cases were collected during the study period, in 18,904 (0.86%) of which the AED prompt was displayed (indicating suspected out of hospital cardiac arrest, or OHCA). Overall, an AED was reported as available 5.8% (n = 1,091) of the time the EMD recorded an answer to the AED prompt. In multiple-rescuer situations, a rescuer was sent to get the AED 2.8% (n = 523) of the time, as opposed to only 0.30% (n = 56) for single-rescuer calls. The AED was reported to be already on scene, by the patient, in 2.7% (n = 512) of the cases. A majority (72.0%; n = 417) of the time, rescuers who were sent to get an AED were unable to retrieve it, with single rescuers being successful more often (57.1% unable to retrieve, vs 73.6% for multiple rescuers). Conclusions: AEDs are reported as available by only a small percentage of callers to 911, and in the majority of cases in which a bystander rescuer is sent to retrieve an AED, one is never located or used. Sending someone to retrieve the AED may be more appropriate in multiple-rescuer situations than when a single bystander rescuer is alone on scene.

Automated External Defibrillator Geolocalization with a Mobile Application, Verbal Assistance or No Assistance: A Pilot Randomized Simulation (AED G-MAP).

OBJECTIVE: Shockable rythms are common among victims of witnessed public out-of-hospital cardiac arrest (OHCA), but bystander defibrillation with a public automated external defibrillator (PAED) is rare. Instructions from the emergency medical dispatcher and mobile applications were developed to expedite the localization of PAEDs, but their effectiveness has not been compared. METHODS: Participants were enrolled in a three-armed randomized simulation where they witnessed a simulated OHCA on a university campus, were instructed to locate a PAED and provide defibrillation. Participants were stratified and randomized to: (1) no assistance in finding the PAED, (2) assistance from a geolocalization mobile application (AED-Quebec), or (3) verbal assistance. Data collectors tracked each participant's time elapsed and distance traveled to shock. RESULTS: Of the 52 volunteers participating in the study (46% male, mean age 37), 17 were randomized to the no assistance group, 18 to the mobile application group and 17 to the verbal group. Median (IQR) time to shock was, respectively, 10:00 min (7:49-10:00), 9:44 (6:30-10:00), and 5:23 (4:11-9:08), with statistically significant differences between the verbal group and the other groups (p ≤ 0.01). The success rate for defibrillation in <10 minutes was 35%, 56% and 76%. Multivariate regression of all participants pooled showed that knowledge of campus geography was the strongest predictor of shock in <10 minutes (aOR =14.3, 95% CI 1.85-99.9). Among participants without prior geographical knowledge, verbal assistance provided a trend towards decreased time to shock, but the differences over no assistance (7:28 vs. 10:00, p = 0.10) and over the mobile app (7:28 vs. 10:00, p = 0.11) were not statistically significant. CONCLUSION: In a simulated environment, verbally providing OHCA bystanders with the nearest PAED's location appeared to be effective in reducing the time to defibrillation in comparison to no assistance and to an AED geolocalizing mobile app, but further research is required to confirm this hypothesis, ascertain the external validity of these results, and evaluate the real-life implications of these strategies.

Emergency response facilities including primary and secondary prevention strategies across 79 professional football clubs in England.

AIM: To assess the emergency response planning and prevention strategies for sudden cardiac arrest (SCA) across a wide range of professional football clubs in England. METHODS: A written survey was sent to all professional clubs in the English football league, namely the Premiership, Championship, League 1 and League 2. Outcomes included: (1) number of clubs performing cardiac screening and frequency of screening; (2) emergency planning and documentation; (3) automated external defibrillator (AED) training and availability; and (4) provision of emergency services at sporting venues. RESULTS: 79 clubs (86%) responded to the survey. 100% clubs participated in cardiac screening. All clubs had AEDs available on match days and during training sessions. 100% Premiership clubs provided AED training to designated staff. In contrast, 30% of lower division clubs with AEDs available did not provide formal training. Most clubs (n=66; 83%) reported the existence of an emergency action plan for SCA but formal documentation was variable. All clubs in the Premiership and League 1 provided an ambulance equipped for medical emergencies on match days compared with 75% of clubs in the Championship and 66% in League 2. CONCLUSIONS: The majority of football clubs in England have satisfactory prevention strategies and emergency response planning in line with European recommendations. Additional improvements such as increasing awareness of European guidelines for emergency planning, AED training and mentorship with financial support to lower division clubs are necessary to further enhance cardiovascular safety of athletes and spectators and close the gap between the highest and lower divisions.

The challenges and possibilities of public access defibrillation.

Out-of-hospital cardiac arrest (OHCA) is a major health problem that affects approximately four hundred and thousand patients annually in the United States alone. It is a major challenge for the emergency medical system as decreased survival rates are directly proportional to the time delay from collapse to defibrillation. Historically, defibrillation has only been performed by physicians and in-hospital. With the development of automated external defibrillators (AEDs), rapid defibrillation by nonmedical professionals and subsequently by trained or untrained lay bystanders has become possible. Much hope has been put to the concept of Public Access Defibrillation with a massive dissemination of public available AEDs throughout most Western countries. Accordingly, current guidelines recommend that AEDs should be deployed in places with a high likelihood of OHCA. Despite these efforts, AED use is in most settings anecdotal with little effect on overall OHCA survival. The major reasons for low use of public AEDs are that most OHCAs take place outside high incidence sites of cardiac arrest and that most OHCAs take place in residential settings, currently defined as not suitable for Public Access Defibrillation. However, the use of new technology for identification and recruitment of lay bystanders and nearby AEDs to the scene of the cardiac arrest as well as new methods for strategic AED placement redefines and challenges the current concept and definitions of Public Access Defibrillation. Existing evidence of Public Access Defibrillation and knowledge gaps and future directions to improve outcomes for OHCA are discussed. In addition, a new definition of the different levels of Public Access Defibrillation is offered as well as new strategies for increasing AED use in the society.