Objectives: The purpose of this study was to determine whether survival to discharge after in-hospital cardiopulmonary arrest could be improved by a program encouraging early defibrillation that included switching from monophasic to biphasic devices.
Background: In-hospital resuscitation continues to have a low success rate. Biphasic waveform devices have demonstrated characteristics that might improve survival, and outside the hospital, automated external defibrillators (AEDs) have shown promise in improving survival of patients suffering cardiopulmonary arrest.
Methods: A program including education and replacement of all manual monophasic defibrillators with a combination of manual biphasic defibrillators used in AED mode and AEDs in all outpatient clinics and chronic care units was implemented.
Results: With program implementation, the percentage survival of all patients with resuscitation events improved 2.6-fold, from 4.9% to 12.8%. Factors independently predicting survival included event location outside an intensive care unit, younger age, an initial rhythm of pulseless ventricular tachycardia (VT) or ventricular fibrillation (VF), pre-arrest beta-blocker, and program initiation. The outcome was independent of gender, race, work shift, number of previous resuscitation attempts, body mass index, comorbidity index, presence of diabetes, presence of hypertension, or use of angiotensin-converting enzyme inhibitors. The improvement in mortality was attributable solely to an effect on patients presenting with VT/VF. Patients with these initial rhythms were 14-fold (odds ratio = 0.07 of death, confidence interval = 0.02 to 0.3) more likely to survive to discharge after program initiation. Automated external defibrillators performed similarly to biphasic manual defibrillators in AED mode.
Conclusions: A program including education and use of biphasic manual defibrillators in AED mode and selective use of AEDs improved survival to discharge in hospitalized patients suffering from cardiopulmonary arrest.
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http://dx.doi.org/10.1016/j.jacc.2004.04.054 | DOI Listing |
Resuscitation
January 2025
Department of Anesthesia, Intensive Care and Prehospital Emergency, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Italy. Electronic address: https://twitter.com/ffsemeraro.
J Clin Med
January 2025
Department of Neurology, Columbia University Irving Medical Center, New York, NY 10032, USA.
Layperson cardiopulmonary resuscitation (CPR) and automated external defibrillator (AED) use are vital for improving survival rates after out-of-hospital cardiac arrest (OHCA), yet their application varies by community demographics. We evaluated the concerns and factors influencing willingness to perform CPR and use AEDs among laypersons in high-risk, low-resource communities. From April 2022 to March 2024, laypersons in Northern Manhattan's Community District 12 completed surveys assessing their attitudes toward CPR and AED use before attending Hands-Only CPR training.
View Article and Find Full Text PDFResusc Plus
January 2025
Emergency Medical Services, Capital Region of Denmark, Ballerup, Denmark.
Unlabelled: Out-of-hospital cardiac arrest (OHCA) remains a critical health concern, where prompt access to automated external defibrillators (AEDs) significantly improves survival. This scoping review broadly investigates the feasibility and impact of dronedelivered AEDs for OHCA response.
Methods: PubMed, Cochrane, and Web of Science were searched from inception to August 6, 2024, with eligibility broadly including empirical data.
BMC Public Health
January 2025
School of Economics, Shandong University of Technology, Zibo, 255000, PR China.
In recent years, the government has promoted the increased deployment of automated external defibrillators (AEDs) in public places with dense crowds, which is of great significance for ensuring that residents enjoy equal health rights. However, it is still unclear what factors decision-makers take into account when formulating deployment plans and whether these factors are related to local characteristics such as population distribution and socioeconomic conditions. Taking Shanghai, China as the research area, we adopted the kernel density estimation and spatial autocorrelation analysis to explore the spatial distribution characteristics of AEDs.
View Article and Find Full Text PDFPrehosp Emerg Care
January 2025
Department of Emergency Medicine, University of Michigan Medical School, Ann Arbor, Michigan.
Objectives: Out-of-hospital cardiac arrest (OHCA) victims receiving defibrillation from an automated external defibrillator (AED) placed early in the chain of survival are more likely to survive. We sought to explore the accuracy of AED pad placement for lay rescuers (LR) and first responders (FR).
Methods: We conducted a secondary analysis of data collected during randomized OHCA simulation trials involving LRs and FRs.
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