BACKGROUND: The outcome of cardiopulmonary resuscitation (CPR) depends on the quality of chest compressions. Current European Resuscitation Council (ERC) guidelines promote the development of feedback systems. However, no studies presenting satisfactory results of feedback use have been published. METHODS: A total of 60 patients with cardiac arrest (> or =18 years of age) received resuscitation attempts using an automated external defibrillator (AED) with real-time feedback by the ambulance service of the City of Münster. The frequency of chest compressions, no-flow time (NFT) and depth of chest compressions were analyzed for the first three cycles of CPR and compared to the ERC guidelines 2005. RESULTS: Chest compression frequency did not differ significantly from the ideal as set out in the guidelines. Analysis of NFTs showed significantly longer NFT for the first cycle but NFT for the second and third cycles did not differ significantly from the ideal. The target depth of 4-5 cm was achieved in 80% of all chest compressions in the first 3 cycles. CONCLUSION: With the AED real-time feedback technology used in this study standardized performance of chest compressions could be maintained in a professional ambulance service. Implementation of a feedback system requires training of ambulance staff.
BACKGROUND: The outcome of cardiopulmonary resuscitation (CPR) depends on the quality of chest compressions. Current European Resuscitation Council (ERC) guidelines promote the development of feedback systems. However, no studies presenting satisfactory results of feedback use have been published. METHODS: A total of 60 patients with cardiac arrest (> or =18 years of age) received resuscitation attempts using an automated external defibrillator (AED) with real-time feedback by the ambulance service of the City of Münster. The frequency of chest compressions, no-flow time (NFT) and depth of chest compressions were analyzed for the first three cycles of CPR and compared to the ERC guidelines 2005. RESULTS: Chest compression frequency did not differ significantly from the ideal as set out in the guidelines. Analysis of NFTs showed significantly longer NFT for the first cycle but NFT for the second and third cycles did not differ significantly from the ideal. The target depth of 4-5 cm was achieved in 80% of all chest compressions in the first 3 cycles. CONCLUSION: With the AED real-time feedback technology used in this study standardized performance of chest compressions could be maintained in a professional ambulance service. Implementation of a feedback system requires training of ambulance staff.
Authors: V Wenzel; S Russo; H R Arntz; J Bahr; M A Baubin; B W Böttiger; B Dirks; V Dörges; C Eich; M Fischer; B Wolcke; S Schwab; W G Voelckel; H W Gervais Journal: Anaesthesist Date: 2006-09 Impact factor: 1.041
Authors: M Skorning; M Derwall; J C Brokmann; D Rörtgen; S Bergrath; J Pflipsen; S Beuerlein; R Rossaint; S K Beckers Journal: Anaesthesist Date: 2011-03-24 Impact factor: 1.041
Authors: Amir Vahedian-Azimi; Mohammadreza Hajiesmaeili; Ali Amirsavadkouhi; Hamidreza Jamaati; Morteza Izadi; Seyed J Madani; Seyed M R Hashemian; Andrew C Miller Journal: Crit Care Date: 2016-05-17 Impact factor: 9.097
Authors: Thomas Wurmb; Tina Vollmer; Peter Sefrin; Martin Kraus; Oliver Happel; Christian Wunder; Andreas Steinisch; Norbert Roewer; Sebastian Maier Journal: Scand J Trauma Resusc Emerg Med Date: 2015-10-31 Impact factor: 2.953