Wide variation in cardiopulmonary resuscitation interruption intervals among commercially available automated external defibrillators may affect survival despite high defibrillation efficacy

2004 ◽  
Vol 32 (Supplement) ◽  
pp. S421-S424 ◽  
Author(s):  
David Snyder ◽  
Carl Morgan
Keyword(s):  
Cardiopulmonary Resuscitation ◽  
Automated External Defibrillators

Resuscitation on the field: basic and advanced life support and automatic external defibrillators

2019 ◽  
pp. 403-410
Author(s):  
Mark S. Link ◽  
Mark Estes III
Keyword(s):  
Cardiac Arrest ◽  
Cardiopulmonary Resuscitation ◽  
Basic Life Support ◽  
Life Support ◽  
Action Plan ◽  
Advanced Life Support ◽  
Advanced Cardiac Life Support ◽  
Screening Strategy ◽  
Automated External Defibrillators ◽  
Playing Field

Resuscitation on the playing field is at least as important as screening in the prevention of death. Even if a screening strategy is largely effective, individuals will suffer sudden cardiac arrests. Timely recognition of a cardiac arrest with rapid implementation of cardiopulmonary resuscitation (CPR) and deployment and use of automated external defibrillators (AEDs) will save lives. Basic life support, including CPR and AED use, should be a requirement for all those involved in sports, including athletes. An emergency action plan is important in order to render advanced cardiac life support and arrange for transport to medical centres.

scholarly journals Perception of Telephone-assisted Cardiopulmonary Resuscitation Among Emergency Medical Personnel in China: a Web-based Survey

2021 ◽  
Author(s):  
Xuqin Kang ◽  
Jing Lou ◽  
Sijia Tian ◽  
Shengmei Niu ◽  
Luxi Zhang ◽  
...  
Keyword(s):  
Cardiopulmonary Resuscitation ◽  
Professional Training ◽  
Medical Personnel ◽  
Medical Emergency ◽  
Survey Study ◽  
Online Questionnaire ◽  
Chi Square ◽  
Cross Sectional ◽  
Automated External Defibrillators ◽  
Emergency Medical

Abstract Background: To investigate the perception of telephone-assisted cardiopulmonary resuscitation (T-CPR) after out-of-hospital cardiac arrest (OHCA) among emergency medical service (EMS) providers in China.Methods: A multicentre, cross-sectional, descriptive, online questionnaire survey study was conducted on the perception among emergency centres in various regions across China from December 2018 to June 2019. Answers to questions concerning baseline characteristics of survey respondents, cognition and implementation of T-CPR, and use of automated external defibrillators were surveyed.Results: Of 1,191 questionnaires obtained from 15 provinces in China, 1,187 were valid. Among the 1,187 respondents, the mean age was 38.0±1.1 (20–60) years; 436 (36.7%) were male and 751 (63.3%) female; there were 256 dispatchers, 494 emergency doctors, 400 emergency nurses, and 37 medical emergency assistants; 960 (80.9%) had previously learned T-CPR and 227 (19.1%) had not. Of the 960 participants who knew T-CPR, 796 (82.9%) recognised CA, 714 of whom (89.7%) would further implement T-CPR. The difference in the cognition rate of T-CPR was statistically significant among EMS providers (chi-square test, 38.1; P<.001). In multivariate analysis, dispatchers had a significantly improved knowledge of T-CPR as their workload increased (P<.001; OR=1.002; 95%CI, 1.001–1.003).Conclusion: Substantial and important differences in the perception and implementation of T-CPR among EMS personnel were observed throughout China. Further professional training in T-CPR is urgently required for improvement in outcomes of OHCA countrywide.Trial registration: not applicable.

Abstract 11312: Activation of Citizen Responders to Out-of-Hospital Cardiac Arrest: Temporal Changes During the COVID-19 Outbreak in Denmark 2020

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Mads Christian Tofte Gregers ◽  
Linn Andelius ◽  
Carolina Malta Hansen ◽  
Astrid Rolin Kragh ◽  
Christian Torp-Pedersen ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Cardiopulmonary Resuscitation ◽  
Spontaneous Circulation ◽  
Acceptance Rate ◽  
Smartphone App ◽  
Hospital Arrival ◽  
Automated External Defibrillators ◽  
Return Of Spontaneous Circulation ◽  
Bystander Cpr ◽  
Hospital Cardiac Arrest

Introduction: Multiple citizen responder (CR) programs worldwide which dispatch laypersons to out-of-hospital cardiac arrest (OHCA) to perform cardiopulmonary resuscitation (CPR) and use of automated external defibrillators (AEDs) were affected by the COVID-19 outbreak in 2020, but little is known about how the pandemic affected CR activation and initiation of bystander CPR and defibrillation. In Denmark, the CR program continued to run during lockdown but with the recommendation to perform chest-compression-only CPR in contrast to standard CPR including ventilations. We hypothesized that bystander interventions as CPR and AED usage decreased during the first COVID-19 lockdown in two regions of Denmark in the spring of 2020. Methods: All OHCAs from January 1, 2020 to June 30, 2020 with CR activation from the Danish Cardiac Arrest Registry and the National Citizen Responder database. Bystander CPR, AED usage, and CRs’ alarm acceptance rate during the national lockdown from March 11, 2020 to April 20, 2020 were compared with the non-lockdown period from January 1, 2020 to March 10, 2020 and from April 21 to June 30, 2020. Results: A total of 6,120 CRs were alerted in 443 (23/100.000 inhabitants) cases of presumed OHCA of which 256 (58%) were confirmed cardiac arrests. Bystander CPR remained equally high in the lockdown period compared with non-lockdown period (99% vs. 92%, p=0.07). Likewise, there was no change in bystander defibrillation (9% vs. 14%, p=0.4). There was a slight increase in the number of CRs who accepted an alarm (7 per alarm, IQR 4) during lockdown compared with non-lockdown period (6 per alarm, IQR 4), p=0.0001. The proportion of patients achieving return of spontaneous circulation at hospital arrival was also unchanged (lockdown 23% vs non-lockdown 23%, p=1.0) (Table 1). Conclusion: Bystander initiated resuscitation rates did not change during the first COVID-19 lockdown in Denmark for OHCAs where CRs were activated through a smartphone app.

Abstract 12792: Enhancing the Accuracy of Cardiac Rhythm Analysis in Automated External Defibrillators During Ongoing Cardiopulmonary Resuscitation by Applying a Deep Encoder-Decoder Filtering Model

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Shirin Hajeb Mohammadalipour ◽  
Alicia Cascella ◽  
Matt Valentine ◽  
Ki Chon
Keyword(s):  
Cardiopulmonary Resuscitation ◽  
Signal To Noise Ratio ◽  
Normal Sinus Rhythm ◽  
Motion Artifact ◽  
Automated External Defibrillators ◽  
Normal Sinus ◽  
Before And After ◽  
Rhythm Analysis ◽  
Distinct Features ◽  
Ecg Data

Survival from out-of-hospital cardiac arrests depends on an accurate defibrillatory shock decision during cardiopulmonary resuscitation (CPR). Since chest compressions induce severe motion artifact in the electrocardiogram (ECG), current automatic external defibrillators (AEDs) do not perform CPR during the rhythm analysis period. However, performing continuous CPR is vital and dramatically increases the chance of survival. Hence, we demonstrate a novel application of a deep convolutional neural network encoder-decoder (CNNED) method in suppressing CPR artifact in near real-time using only ECG data. The encoder portion of the CNNED uses the frequency and phase contents derived via time-varying spectral analysis to learn distinct features that are representative of both the ECG signal and CPR artifact. The decoder portion takes the results from the encoder and reconstructs what is perceived as the motion artifact removed ECG data. These procedures are done via multitude of training of CNNED using many different arrhythmia contaminated with CPR. In this study, CPR-contaminated ECGs were generated by combining clean ECG with CPR artifacts from 52 different performers. ECG data from CUDB, VFDB, and SDDB datasets which belong to the Physionet’s Physiobank archive were used to create the training set containing 89,984 14-second ECG segments. The performance of the proposed CNNED was evaluated on a separate test set comprising of 23,816 CPR-contaminated 14-second ECG segments from 458 subjects. The results were evaluated by two metrics: signal-to-noise ratio (SNR), and Defibtech’s AED rhythm analysis algorithm. CNNED resulted in the increase of the mean SNR value from -3 dB to 5.63 dB and 6.3 dB for shockable and non-shockable rhythms, respectively. Comparing Defibtech’s AED rhythm classifier before and after applying CNNED on the CPR-contaminated ECG, the specificity improved from 96.57% to 99.31% for normal sinus rhythm, and from 91.5% to 96.57% for other non-shockable rhythms. The sensitivity of shockable detection also increased from 67.68% to 87.76% for ventricular fibrillation, and from 62.71% to 81.27% for ventricular tachycardia. These results indicate continuous and accurate AED rhythm analysis without stoppage of CPR using only ECG data.

Sign in / Sign up

Export Citation Format

Share Document