OBJECTIVE: The association between out-of-hospital cardiac arrest (OHCA) and the appropriate provision of public access defibrillation (PAD) remains unclear. This study aimed to evaluate the factors associated with the factors associated with whether or not PAD was provided.
METHODS: This retrospective cohort study utilized the All-Japan Utstein and Emergency Transport Registries data in 2021. We included OHCA patients who were applied to automated external defibrillators (AEDs) by bystanders and were deemed eligible for defibrillation by an AED. We defined PAD provided or no PAD provided based on bystander defibrillation. Multivariable logistic regression analysis with the Firth bias adjustment method was employed to estimate the adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for the exploratory evaluation of factors associated with PAD provided.
RESULTS: 1949 patients were eligible for analysis (PAD provided, n = 1696 [87.0%]; no PAD provided, n = 253 [13.0%]). Factors positively associated with PAD provided were male (AOR [95% CI], 1.61 [1.17-2.21]; vs. female), other public place incidence (AOR [95% CI], 10.65 [1.40-1367.54]; vs. public place), non-family member witnessed (AOR [95% CI], 2.51 [1.86-3.42]; vs. unwitnessed) and conventional cardiopulmonary resuscitation (CPR), (AOR [95% CI], 1.75 [1.17-2.67]; vs. hands-only CPR). Conversely, factors negatively associated with no PAD provided were over 65 years old (AOR [95% CI], 0.48 [0.28-0.80]; vs. 19-64 yr), night-time onset (AOR [95% CI], 0.61 [0.45-0.83]; vs. daytime), non-cardiogenic (AOR [95% CI], 0.43 [0.31-0.61]; vs. cardiogenic), home setting (AOR [95% CI], 0.33 [0.14-0.83]; vs. public place), healthcare facility setting (AOR [95% CI], 0.40 [0.23-0.66]; vs. public place), no bystander CPR (AOR [95% CI], 0.31 [0.14-0.71]; vs. hands-only CPR), and dispatcher-assistance (AOR [95% CI], 0.72 [0.53-0.97]; vs. no dispatcher-assistance).
CONCLUSIONS: Male patients, other public place onset, witnessed by non-family and conventional CPR were associated with PAD provide. Therefore, training skilled first responders to use AEDs appropriately is necessary.

UNASSIGNED: Early defibrillation with an automated external defibrillator (AED) can effectively improve the survival rate of patients with out-of-hospital cardiac arrest (OHCA). Placing AEDs in public locations can reduce the defibrillation response interval from collapse to defibrillation. Most public AEDs are currently placed in a stationary way (S-AED) with limited coverage area. Bus mounted AED (B-AED) can be delivered directly to the demand point. Although B-AEDs are only available during bus operating hours, they provide greater coverage area. When the number of available AEDs is insufficient, better coverage may be achieved by placing a portion of AEDs as B-AEDs. Our purpose is developing a model to determine the optimal locations of B-AEDs and S-AEDs with a predetermined number of available AEDs. The goal is to maximize the total coverage level of all demand points.
UNASSIGNED: We proposed a joint location model to place B-AEDs and S-AEDs based on the p-median problem (JPMP). Using data from Chang\'an District, Xi\'an City, China, we determined the optimal AED deployment. The performance of JPMP was compared with several other models. The coverage results of JPMP are analyzed in details, including the quantity assignment, coverage level, and geographical location of B-AEDs and S-AEDs. The impact of the bus departure intervals on coverage was also discussed.
UNASSIGNED: The use of B-AEDs results in an average 98.43% increase in the number of covered demand points, and an average 74.05% increase in total coverage level. In optimal AED deployment, B-AEDs coverage follows an inverted U-shaped curve with increasing number of available AEDs. It begins to decrease when all demand points during the operating hours are covered. With a constant number of available AEDs, the total coverage level increases and then decreases as the bus departure interval increases. The larger the number of available AEDs, the smaller the optimal departure interval.
UNASSIGNED: With a given number of available AEDs, combinational deployment of B-AEDs and S-AEDs significantly improves the coverage level. B-AEDs are recommended when AEDs are insufficient. If more AEDs are available, better coverage can be obtained with reasonable location of S-AEDs and B-AEDs.

暂无摘要。

Out-of-hospital cardiac arrest (OHCA) is a major public health concern with low survival rates. First responders (FRs) and public access defibrillation (PAD) programs can significantly improve survival, although barriers to response activation persist. The Emilia Romagna region in Italy has introduced a new system, the DAE RespondER App, to improve the efficiency of FR dispatch in response to OHCA. The study aimed to evaluate the association between different logistic factors, FRs\' perceptions, and their decision to accept or decline dispatch to an OHCA scene using the DAE RespondER App. A cross-sectional web survey was conducted, querying 14,518 registered FRs using the DAE RespondER app in Emilia Romagna. The survey explored logistic and cognitive-emotional perceptions towards barriers in responding to OHCAs. Statistical analysis was conducted, with responses adjusted using non-response weights. 4,644 responses were obtained (32.0% response rate). Among these, 1,824 (39.3%) had received at least one dispatch request in the past year. Multivariable logistic regression showed that being male, having previous experience with OHCA situations, and having an automated external defibrillator (AED) available at the moment of the call were associated with a higher probability of accepting the dispatch. Regarding FRs\' perceptions, logistic obstacles were associated with mission rejection, while higher scores in cognitive-emotional obstacles were associated with acceptance. The study suggests that both logistical and cognitive-emotional factors are associated with FRs\' decision to accept a dispatch. Addressing these barriers and further refining the DAE RespondER App can enhance the effectiveness of PAD programs, potentially improving survival rates for OHCA. The insights from this study can guide the development of interventions to improve FR participation and enhance overall OHCA response systems.

Out-of-hospital cardiac arrest (OHCA) remains a significant cause of death. The chance of survival significantly increases when immediate defibrillation with an on-site automated external defibrillator (AED) is available. Our aim is to systematically evaluate the impact of public access defibrillators (PAD) on the outcomes of outpatient cardiac arrest. We conducted a systematic review of the data from global studies on the role of bystander and emergency medical service (EMS) interventions, primarily focusing on the usage of AEDs, during OHCA events. The results highlight the critical significance of PADs in improving survival outcomes in OHCA settings. The majority of OHCA incidents occurred in private residences, but public spaces such as schools and airports had better outcomes, likely due to AED accessibility and trained individuals. Placing AEDs in public areas, especially high-risk zones, can boost survival chances. Timely defibrillation, particularly by bystanders, correlated with better survival and neurological conditions. The review emphasizes the importance of widespread cardiopulmonary resuscitation (CPR) and AED training, strategic AED placement, and continuous monitoring of interventions and outcomes to enhance survival rates and neurological recovery after OHCAs. This systematic review showed that bystander interventions, including CPR and AED usage, significantly increased the survival rate. Overall, immediate response and accessibility to AEDs in public areas can significantly improve outcomes in OHCA events.

暂无摘要。

UNASSIGNED: To describe the First Responder Shock Trial (FIRST), which aims to determine whether equipping frequently responding, smartphone-activated (GoodSAM) first responders with an ultraportable AED can increase 30-day survival rates in OHCA.
UNASSIGNED: The FIRST trial is an investigator-initiated, bi-national (Victoria, Australia and New Zealand), registry-nested cluster-randomised controlled trial where the unit of randomisation is the smartphone-activated (GoodSAM) first responder. High-frequency GoodSAM responders are randomised 1:1 to receive an ultraportable, single-use AED or standard alert procedures using the GoodSAM app.The primary outcome is survival to 30 days. The secondary outcome measures (shockable rhythm, return of spontaneous circulation, event survival, and time to first shock delivery) are routinely collected by OHCA registries in both regions. The trial was registered with the Australian New Zealand Clinical Trials Registry (ANZCTR) (Registration: ACTRN12622000448741) on 22 March 2022.
UNASSIGNED: The trial started in November 2022 and the last patient is expected to be enrolled in November 2024. We aim to detect a 7% increase in the proportion of 30-day survivors, from 9% in patients attended by control responders to 16% in patients attended by responders randomised to the ultraportable AED intervention arm. With 80% power, an alpha of 0.05, a cluster size of 1.5 and a coefficient of variation for cluster sizes of 1, the sample size required to detect this difference is 714 (357 per arm).
UNASSIGNED: The FIRST study will increase our understanding of the potential role of portable AED use by smartphone-activated community responders and their impact on survival outcomes.

UNASSIGNED: The purpose of this study was to stratify patients who achieved return of spontaneous circulation (ROSC) after out-of-hospital cardiac arrest (OHCA) with bystander procedures pre-emergency medical service (EMS) arrival and those who achieved ROSC with procedures post-EMS arrival, compare outcomes at 1-month, and identify factors associated with pre-EMS-arrival-ROSC.
UNASSIGNED: A retrospective cohort analysis of OHCAs occurring at stations in the Tokyo metropolitan area between 2014 and 2018 was conducted. Subjects were stratified by ROSC phase (categorized as pre- and post-EMS arrival and non-ROSC). Survival at 1-month post-OHCA and the percentage of favourable neurological function in each ROSC phase were analysed. In addition, factors associated with Pre-EMS-arrival-ROSC were identified using multivariable logistic regression analysis. The time of occurrence of OHCA was classified into four-time categories as follows. Rush hour on morning [7:00-9:00], Rush hour on evening [17:00-21:00], Daytime [9:00-17:00], and Night or Early morning [21:00-7:00].
UNASSIGNED: Among the 63,089 OHCA in the dataset, 702 were analysed. At 1-month after OHCA occurrence, Pre-EMS-arrival ROSC had higher survival rates than post-EMS-arrival ROSC (86.8% vs. 54.1%) and CPC1-2 rates (73.6% vs. 38.5%). Pre-EMS-arrival ROSC was associated (adjusted odds ratio [95% confidence interval]) with non-older-adult patients (1.59 [1.05-2.43]), witnessed OHCA (1.82 [1.03-3.31]), evening rush-hour (17:00-21:00; 2.08 [1.05-4.11]), conventional CPR (33.42 [7.82-868.44]), hands-only CPR (17.06 [4.30-436.48]), bystander defibrillation performed once (3.31 [1.59-6.99]).
UNASSIGNED: In an OHCA at a station in Tokyo, ROSC achieved with bystander treatment alone had a better outcome at 1-month compared to ROSC with EMS intervention.

Out-of-hospital cardiac arrest (OHCA) is a serious threat to human life and health, characterized by high morbidity and mortality. However, given the limitations of the current emergency medical system (EMS), it is difficult to immediately treat patients who experience OHCA. It is well known that rapid defibrillation after cardiac arrest is essential for improving the survival rate of OHCA, yet automated external defibrillators (AED) are difficult to obtain in a timely manner.
This review illustrates the feasibility and advantages of AED delivery by drones by surveying current studies on drones, explains that drones are a new strategy in OHCA, and finally proposes novel strategies to address existing problems with drone systems.
The continuous development of drone technology has been beneficial for patients who experience OHCA, as drones have demonstrated powerful capabilities to provide rapid delivery of AED. Drones have great advantages over traditional EMS, and the delivery of AED by drones for patients with OHCA is a new strategy. However, the application of this new strategy in real life still has many challenges.
Drones are promising and innovative tools. Many studies have demonstrated that AED delivery by drones is feasible and cost-effective; however, as a new strategy to improve the survival rate of OHCA patients, there remain problems to be solved. In the future, more in-depth investigations need to be conducted.

UNASSIGNED: Automated external defibrillator (AED) use is increasing, but use in children is uncommon. A growing literature of use in children by lay rescuers warrants review.
UNASSIGNED: A systematic review of AED effectiveness in children experiencing out-of-hospital cardiac arrest (OHCA).
UNASSIGNED: PubMed, EMBASE, Cochrane Register of Controlled Trials.
UNASSIGNED: Children, ages 0-18, experiencing OHCA with an AED applied by a lay rescuer. Control population: children with no AED application.
UNASSIGNED: Results are reported according to PRISMA guidelines. Two authors independently reviewed all titles and abstracts of references identified by the search strategy, then generated a subset which all authors reviewed.
UNASSIGNED: Critical outcomes were survival with Cerebral Performance Category (CPC) 1-2 at hospital discharge or 30 days and survival to hospital discharge.
UNASSIGNED: Population: age categories: <1 year, 1-12 years, 13-18 years. Lay rescuer AED application resulted in improved survival with CPC 1-2 at hospital discharge or 30 days to hospital discharge in age groups 1-12 and 13-18 years (RR 3.84 [95 % CI 2.69-5.5], RR 3.75 [95 %CI 2.97-4.72]), respectively and hospital discharge in both groups(RR 3.04 [95 % CI 2.18-4.25], RR 3.38 [95 % CI 2.17-4.16]), respectively. AED use with CPR improved CPC 1-2 at hospital discharge and hospital discharge (RR 1.49 [95 % CI 1.11-1.97], RR 1.55[1.12-2.12]).
UNASSIGNED: AED application by lay rescuers is associated with improved survival with a CPC of 1-2 at 30 days, and improved survival to hospital discharge for children 1-18 years. There are limited data for children < 1 year.