Literature DB >> 26298053

Proper target depth of an accelerometer-based feedback device during CPR performed on a hospital bed: a randomized simulation study.

Sanghyun Lee1, Jaehoon Oh1, Hyunggoo Kang2, Taeho Lim1, Wonhee Kim3, Youngjoon Chee4, Yeongtak Song4, Chiwon Ahn1, Jun Hwi Cho5.   

Abstract

PURPOSE: Feedback devices are used to improve chest compression (CC) quality related to survival rates in cardiac arrest. However, several studies have shown that feedback devices are not sufficiently reliable to ensure adequate CC depth on soft surfaces. Here, we determined the proper target depth of feedback (TDF) using an accelerometer during cardiopulmonary resuscitation in hospital beds.
METHODS: In prospective randomized crossover study, 19 emergency physicians performed CCs for 2 minutes continuously on a manikin in 2 different beds with 3 TDFs (5, 6, and 7 cm). We measured CC depth, the proportion of accurate compression depths, CC rate, the proportion of incomplete chest decompressions, the velocity of CC (CC velocity), the proportion of time spent in CC relative to compression plus decompression (duty cycle), and the time spent in CC (CC time).
RESULTS: Mean (SD) CC depths at TDF 5, 6, and 7 were 45.42 (5.79), 52.68 (4.18), and 58.47 (2.48) on one bed and 46.26 (4.49), 53.58 (3.15), and 58.74 (2.10) mm on the other bed (all P<.001), respectively. The proportions of accurate compression depths and CC velocity at TDF 5, 6, and 7 differed significantly according to TDF on both beds (all P<.001).The CC rate, CC time, and proportion of incomplete chest decompression did not differ on both beds (all P>.05). The duty cycle differed significantly on only B2.
CONCLUSIONS: The target depth of the real-time feedback device should be at least 6 cm but should not exceed 7 cm for optimal CC on patients on hospital beds.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26298053     DOI: 10.1016/j.ajem.2015.07.010

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  8 in total

1.  A Feasibility Study for Measuring Accurate Chest Compression Depth and Rate on Soft Surfaces Using Two Accelerometers and Spectral Analysis.

Authors:  Sofía Ruiz de Gauna; Digna M González-Otero; Jesus Ruiz; J J Gutiérrez; James K Russell
Journal:  Biomed Res Int       Date:  2016-11-24       Impact factor: 3.411

2.  Effectiveness of feedback with a smartwatch for high-quality chest compressions during adult cardiac arrest: A randomized controlled simulation study.

Authors:  Chiwon Ahn; Juncheol Lee; Jaehoon Oh; Yeongtak Song; Youngjoon Chee; Tae Ho Lim; Hyunggoo Kang; Hyungoo Shin
Journal:  PLoS One       Date:  2017-04-03       Impact factor: 3.240

3.  Development of Smart-Ring-Based Chest Compression Depth Feedback Device for High Quality Chest Compressions: A Proof-of-Concept Study.

Authors:  Seungjae Lee; Yeongtak Song; Jongshill Lee; Jaehoon Oh; Tae Ho Lim; Chiwon Ahn; In Young Kim
Journal:  Biosensors (Basel)       Date:  2021-01-28

Review 4.  [Basic life support].

Authors:  Theresa M Olasveengen; Federico Semeraro; Giuseppe Ristagno; Maaret Castren; Anthony Handley; Artem Kuzovlev; Koenraad G Monsieurs; Violetta Raffay; Michael Smyth; Jasmeet Soar; Hildigunnur Svavarsdóttir; Gavin D Perkins
Journal:  Notf Rett Med       Date:  2021-06-02       Impact factor: 0.826

5.  Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Theresa M Olasveengen; Mary E Mancini; Gavin D Perkins; Suzanne Avis; Steven Brooks; Maaret Castrén; Sung Phil Chung; Julie Considine; Keith Couper; Raffo Escalante; Tetsuo Hatanaka; Kevin K C Hung; Peter Kudenchuk; Swee Han Lim; Chika Nishiyama; Giuseppe Ristagno; Federico Semeraro; Christopher M Smith; Michael A Smyth; Christian Vaillancourt; Jerry P Nolan; Mary Fran Hazinski; Peter T Morley
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

6.  2020 Korean Guidelines for Cardiopulmonary Resuscitation. Part 4. Adult advanced life support.

Authors:  Jaehoon Oh; Kyoung-Chul Cha; Jong-Hwan Lee; Seungmin Park; Dong-Hyeok Kim; Byung Kook Lee; Jung Soo Park; Woo Jin Jung; Dong Keon Lee; Young Il Roh; Tae Youn Kim; Sung Phil Chung; Young-Min Kim; June Dong Park; Han-Suk Kim; Mi Jin Lee; Sang-Hoon Na; Gyu Chong Cho; Ai-Rhan Ellen Kim; Sung Oh Hwang
Journal:  Clin Exp Emerg Med       Date:  2021-05-21

7.  Evaluation of Smartphone Applications for Cardiopulmonary Resuscitation Training in South Korea.

Authors:  Chiwon Ahn; Yongtak Cho; Jaehoon Oh; Yeongtak Song; Tae Ho Lim; Hyunggoo Kang; Juncheol Lee
Journal:  Biomed Res Int       Date:  2016-09-07       Impact factor: 3.411

8.  Do automated real-time feedback devices improve CPR quality? A systematic review of literature.

Authors:  Debora Gugelmin-Almeida; Lucia Tobase; Thatiane Facholi Polastri; Heloisa Helena Ciqueto Peres; Sergio Timerman
Journal:  Resusc Plus       Date:  2021-03-27
  8 in total

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