scholarly journals European Sudden Cardiac Arrest network: towards Prevention, Education and New Effective Treatments (ESCAPE-NET)

2018 ◽  
Vol 39 (2) ◽  
pp. 86-88 ◽  
Author(s):  
Hanno L Tan ◽  
Nikolaos Dagres ◽  
Bernd W Böttiger ◽  
Peter J Schwartz ◽  
Keyword(s):  
Cardiac Arrest ◽  
Sudden Cardiac Arrest ◽  
Prevention Education ◽  
Effective Treatments

Abstract 13298: Density, Coverage and Usage of Automated External Defibrillators in Out-of-Hospital Cardiac Arrest Across Europe

Circulation ◽  
2021 ◽  
Vol 144 (Suppl_2) ◽  
Author(s):  
Julie Kjoelbye ◽  
Linn Andelius ◽  
Enrico Baldi ◽  
Angelo Auricchio ◽  
Marieke Blom ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Effective Treatment ◽  
Sudden Cardiac Arrest ◽  
Free Software ◽  
Geographical Differences ◽  
Automated External Defibrillators ◽  
Prevention Education ◽  
Capital Region ◽  
Software Program ◽  
Hospital Cardiac Arrest

Introduction: Though deployment of Automated External Defibrillators (AEDs) is increasing rapidly, AEDs are often deployed in an un-strategic manner. Consequently, little is known about the association between AED density, AED coverage of out-of-hospital cardiac arrest (OHCA), and bystander defibrillation across different countries. This study aimed to investigate the differences in AED densities (AEDS/100,000 inhabitants/1,000 km2), the AED coverage of OHCAs, and bystander defibrillation across Europe. Hypothesis: AED density is directly associated with degree of bystander defibrillation across Europe. Methods: The study is a European Sudden Cardiac Arrest network towards Prevention, Education, New Effective Treatment (ESCAPE-NET) project. We included data from Ticino (Switzerland), Lombardy (Italy), and The Capital Region (Denmark) from 2019, covering over 3.7 million inhabitants. AED accessibility was defined as the AED being accessible 24/7 or not and AED coverage was defined as the OHCA being covered by an AED within 100, 250 and 500 meters. AED coverages were calculated the same way by all participants using a free software program (QGIS). Results: AED densities were: 87.3 for Ticino, 15.2 for Lombardy, and 139.4 for The Capital Region. The percentages of OHCAs covered by any AED and by 24/7 accessible AEDs are shown in Figure 1. The calculated AED density per 1% bystander defibrillation (for the percentage of OHCAs bystander defibrillated within 100, 250 and 500m of an AED) were 34.9, 17.5 and 15.6 for Ticino, 76.0, 50.7 and 38.0 for Lombardy and 19.4, 12.6 and 11.2 for The Capital Region. Conclusion: We found great variation in both AED coverage and 24/7 AED accessibility across regions, as well as marked differences in bystander defibrillation according to local AED density. Other factors like geographical differences in the regions, optimal AED placement and citizen responder programs for AED use might explain the observed differences.

scholarly journals Discovery of predictors of sudden cardiac arrest in diabetes: rationale and outline of the RESCUED (REcognition of Sudden Cardiac arrest vUlnErability in Diabetes) project

Open Heart ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. e001554
Author(s):  
Laura H van Dongen ◽  
Peter P Harms ◽  
Mark Hoogendoorn ◽  
Dominic S Zimmerman ◽  
Elisabeth M Lodder ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Prognostic Model ◽  
Early Recognition ◽  
Sudden Cardiac Arrest ◽  
Clinical Genetic ◽  
Innovative Strategy ◽  
Rare Variant Analysis ◽  
Increased Risk ◽  
Gp Care

IntroductionEarly recognition of individuals with increased risk of sudden cardiac arrest (SCA) remains challenging. SCA research so far has used data from cardiologist care, but missed most SCA victims, since they were only in general practitioner (GP) care prior to SCA. Studying individuals with type 2 diabetes (T2D) in GP care may help solve this problem, as they have increased risk for SCA, and rich clinical datasets, since they regularly visit their GP for check-up measurements. This information can be further enriched with extensive genetic and metabolic information.AimTo describe the study protocol of the REcognition of Sudden Cardiac arrest vUlnErability in Diabetes (RESCUED) project, which aims at identifying clinical, genetic and metabolic factors contributing to SCA risk in individuals with T2D, and to develop a prognostic model for the risk of SCA.MethodsThe RESCUED project combines data from dedicated SCA and T2D cohorts, and GP data, from the same region in the Netherlands. Clinical data, genetic data (common and rare variant analysis) and metabolic data (metabolomics) will be analysed (using classical analysis techniques and machine learning methods) and combined into a prognostic model for risk of SCA.ConclusionThe RESCUED project is designed to increase our ability at early recognition of elevated SCA risk through an innovative strategy of focusing on GP data and a multidimensional methodology including clinical, genetic and metabolic analyses.

scholarly journals Contacts to the healthcare system prior to out-of-hospital cardiac arrests

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
N Zylyftari ◽  
S.G Moller ◽  
M Wissenberg ◽  
F Folke ◽  
C.A Barcella ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
General Population ◽  
Healthcare System ◽  
Early Identification ◽  
Sudden Cardiac Arrest ◽  
Funding Source ◽  
Horizon 2020 ◽  
One Year ◽  
Public Grant ◽  
Hospital Cardiac Arrest

Abstract Background Patients who suffer a sudden out-of-hospital cardiac arrest (OHCA) may be preceded by warning symptoms and healthcare system contact. Though, is currently difficult early identification of sudden cardiac arrest patients. Purpose We aimed to examine contacts with the healthcare system up to two weeks and one year before OHCA. Methods OHCA patients were identified from the Danish Cardiac Arrest Registry (2001–2014). The pattern of healthcare contacts (with either general practitioner (GP) or hospital) within the year prior to OHCA of OHCA patients was compared with that of 9 sex- and age-matched controls from the background general population. Additionally, we evaluated characteristics of OHCA patients according to the type of healthcare contact (GP/hospital/both/no-contact) and the including characteristics of contacts, within two weeks prior their OHCA event. Results Out of 28,955 OHCA patients (median age of 72 (62–81) years and with 67% male) of presumed cardiac cause, 16,735 (57.8%) contacted the healthcare system (GP and hospital) within two weeks prior to OHCA. From one year before OHCA, the weekly percentages of contacts to GP were relatively constant (26%) until within 2 weeks prior to OHCA where they markedly increased (54%). In comparison, 14% of the general population contacted the GP during the same period (Figure). The weekly percentages of contacts with hospitals gradually increased in OHCA patients from 3.5% to 6.5% within 6 months, peaking at the second week (6.8%), prior to OHCA. In comparison, only 2% of the general population had a hospital contact in that period (Figure). Within 2 weeks of OHCA, patients contacted GP mainly by telephone (71.6%). Hospital diagnoses were heterogenous, where ischemic heart disease (8%) and heart failure (4.5%) were the most frequent. Conclusions There is an increase in healthcare contacts prior to “sudden” OHCA and overall, 54% of OHCA-patients had contacted GP within 2 weeks before the event. This could have implications for developing future strategies for early identification of patients prior to their cardiac arrest. Figure 1. The weekly percentages of contacts to GP (red) and hospital (blue) within one year before OHCA comparing the OHCA cases to the age- and sex-matched control population (N cases = 28,955; N controls = 260,595). Funding Acknowledgement Type of funding source: Public grant(s) – EU funding. Main funding source(s): European Union's Horizon 2020

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