The effect of chest compression frequency on the quality of resuscitation by lifeguards. A prospective randomized crossover multicenter simulation trial

Smereka, Jacek; Iskrzycki, Łukasz; Makomaska-Szaroszyk, Elzbieta; Bielski, Karol; Frass, Michael; Robak, Oliver; Ruetzler, Kurt; Czekajło, Michael; Rodrı́guez-Núñez, Antonio; López‐Herce, Jesús; Szarpak, Łukasz

doi:10.5603/cj.a2018.0121

Cited by 13 publications

(15 citation statements)

References 42 publications

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“…These results show that the configurations of real-time feedback systems, which focus mainly on compression depth, should be modified in order to avoid excessive compression frequencies. Previous studies have reported that there is a noticeable decrease in compression depth when compression rates increase [21]. In an earlier study, our own group showed that compression depth has a significant influence on the patient's chances of survival [22], is highly accepted by health care providers and various other studies have shown that real-time feedback helps to achieve high-quality CPR [23,24].…”

Section: Compression Frequencymentioning

confidence: 96%

Real-time feedback improves chest compression quality in out-of-hospital cardiac arrest: A prospective cohort study

et al. 2020

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Background Current guidelines underline the importance of high-quality chest compression during cardiopulmonary resuscitation (CPR), to improve outcomes. Contrary to this many studies show that chest compression is often carried out poorly in clinical practice, and long interruptions in compression are observed. This prospective cohort study aimed to analyse whether chest compression quality changes when a real-time feedback system is used to provide simultaneous audiovisual feedback on chest compression quality. For this purpose, pauses in compression, compression frequency and compression depth were compared. Methods The study included 292 out-of-hospital cardiac arrests in three consecutive study groups: first group, conventional resuscitation (no-sensor CPR); second group, using a feedback sensor to collect compression depth data without real-time feedback (sensor-only CPR); and third group, with real-time feedback on compression quality (sensor-feedback CPR). Pauses and frequency were analysed using compression artefacts on electrocardiography, and compression depth was measured using the feedback sensor. With this data, various parameters were determined in order to be able to compare the chest compression quality between the three consecutive groups. Results The compression fraction increased with sensor-only CPR (group 2) in comparison with nosensor CPR (group 1) (80.1% vs. 87.49%; P < 0.001), but there were no further differences belonging compression fraction after activation of sensor-feedback CPR (group 3) (P = 1.00). Compression frequency declined over the three study groups, reaching the guideline

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Section: Compression Frequencymentioning

confidence: 96%

Real-time feedback improves chest compression quality in out-of-hospital cardiac arrest: A prospective cohort study

et al. 2020

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“…In six studies, the indicator developed by the Laerdal corporation was used for the analysis [19][20][21][22][23][24]. It is a part of the software for analysing resuscitation performed in simulation conditions.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Chest Compression Quality — a systematic review

Kłosiewicz

Puslecki

Zalewski

et al. 2020

Disaster Emerg Med J

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INTRODUCTION: High-quality chest compression (CC) is a crucial factor that determines the survival of cardiac arrest patients. Adequate quality should be featured by appropriate compression rate and depth, and full chest recoil after each compression. The ranges are strictly determined in Resuscitation Guidelines. All these parameters are interdependent. Currently, there is a need to find or develop a universal index that will enable the definition and determination of the overall quality of CCs. MATERIAL AND METHODS: A systematic review of the MEDLINE, EMBASE, COCHRANE, and GOOGLE SCHOLAR databases was performed. The authors aimed to find papers in which the quality of CC was assessed. The extracted information included measurement of the CC quality in a direct and objective manner-by analysing the depth, rate, and recoil of CC, position of the hands, duty cycle, and indirectly by evaluating chest compression fraction (CCF). Papers describing the quality of CC based on a combination of various components of the CC quality were selected for analysis. RESULTS: In total 1604 publications were obtained. Among them, 21 articles satisfied the search criteria. In most of the papers, it was suggested that compressions should have been considered as correct when they met simultaneously all quality criteria. Only three papers presented any mathematical formula that could have been used for further comparisons. CONCLUSIONS: Although many proposals have been developed, no single, universal, and commonly accepted indicator of resuscitation quality has been so far designed and subsequently applied. Further work on this subject is warranted and strongly recommended.

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“…According to Ewy et al [7] the most optimal form of chest compression is continuous compression, which generates higher perfusion pressure than resuscitation based on 30 compressions to 2 rescue breaths. To this purpose, it may be essential to perform airway management with an endotracheal tube or supraglottic airway device and initiate asynchronous resuscitation, so that chest compression interruptions, necessary for ventilation with a face mask and a self-inflating bag, are minimized [8][9][10]. Further parameters indicated by the guidelines include the depth and the rate of compressions as well as the correctness of chest relaxation after each compression.…”

Section: Introductionmentioning

confidence: 99%

How should we teach cardiopulmonary resuscitation? Randomized multi-center study

et al. 2021

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Background: A 2017 update of the resuscitation guideline indicated the use of cardiopulmonary resuscitation (CPR) feedback devices as a resuscitation teaching method. The aim of the study was to compare the influence of two techniques of CPR teaching on the quality of resuscitation performed by medical students. Methods: The study was designed as a prospective, randomized, simulation study and involved 115 first year students of medicine. The participants underwent a basic life support (BLS) course based on the American Heart Association guidelines, with the first group (experimental group) performing chest compressions to observe, in real-time, chest compression parameters indicated by software included in the simulator, and the second group (control group) performing compressions without this possibility. After a 10-minute resuscitation, the participants had a 30-minute break and then a 2-minute cycle of CPR. One month after the training, study participants performed CPR, without the possibility of observing real-time measurements regarding quality of chest compression. Results: One month after the training, depth of chest compressions in the experimental and control group was 50 mm (IQR 46-54) vs. 39 mm (IQR 35-42; p = 0.001), compression rate 116 CPM (IQR 102-125) vs. 124 CPM (IQR 116-134; p = 0.034), chest relaxation 86% (IQR 68-89) vs. 74% (IQR 47-80; p = 0.031) respectively. Conclusions: Observing real-time chest compression quality parameters during BLS training may improve the quality of chest compression one month after the training including correct hand positioning, compressions depth and rate compliance.

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The effect of chest compression frequency on the quality of resuscitation by lifeguards. A prospective randomized crossover multicenter simulation trial

Cited by 13 publications

References 42 publications

Real-time feedback improves chest compression quality in out-of-hospital cardiac arrest: A prospective cohort study

Real-time feedback improves chest compression quality in out-of-hospital cardiac arrest: A prospective cohort study

Assessment of Chest Compression Quality — a systematic review

How should we teach cardiopulmonary resuscitation? Randomized multi-center study

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