Literature DB >> 22828357

Transthoracic impedance for the monitoring of quality of manual chest compression during cardiopulmonary resuscitation.

Hehua Zhang1, Zhengfei Yang, Zitong Huang, Bihua Chen, Lei Zhang, Heng Li, Baoming Wu, Tao Yu, Yongqin Li.   

Abstract

OBJECTIVE: The quality of cardiopulmonary resuscitation (CPR), especially adequate compression depth, is associated with return of spontaneous circulation (ROSC) and is therefore recommended to be measured routinely. In the current study, we investigated the relationship between changes of transthoracic impedance (TTI) measured through the defibrillation electrodes, chest compression depth and coronary perfusion pressure (CPP) in a porcine model of cardiac arrest.
METHODS: In 14 male pigs weighing between 28 and 34 kg, ventricular fibrillation (VF) was electrically induced and untreated for 6 min. Animals were randomized to either optimal or suboptimal chest compression group. Optimal depth of manual compression in 7 pigs was defined as a decrease of 25% (50 mm) in anterior posterior diameter of the chest, while suboptimal compression was defined as 70% of the optimal depth (35 mm). After 2 min of chest compression, defibrillation was attempted with a 120-J rectilinear biphasic shock.
RESULTS: There were no differences in baseline measurements between groups. All animals had ROSC after optimal compressions; this contrasted with suboptimal compressions, after which only 2 of the animals had ROSC (100% vs. 28.57%, p=0.021). The correlation coefficient was 0.89 between TTI amplitude and compression depth (p<0.001), 0.83 between TTI amplitude and CPP (p<0.001).
CONCLUSION: Amplitude change of TTI was correlated with compression depth and CPP in this porcine model of cardiac arrest. The TTI measured from defibrillator electrodes, therefore has the potential to serve as an indicator to monitor the quality of chest compression and estimate CPP during CPR.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22828357     DOI: 10.1016/j.resuscitation.2012.07.016

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  3 in total

1.  Automatic identification of compressions and ventilations during CPR based on the fuzzy c-means clustering and deep belief network.

Authors:  He-Hua Zhang; Li Yang; An-Hai Wei; Ao-Wen Duan; Yong-Ming Li; Ping Zhao; Yong-Qin Li
Journal:  Ann Transl Med       Date:  2020-09

2.  Detection of spontaneous pulse using the acceleration signals acquired from CPR feedback sensor in a porcine model of cardiac arrest.

Authors:  Liang Wei; Gang Chen; Zhengfei Yang; Tao Yu; Weilun Quan; Yongqin Li
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

3.  Even four minutes of poor quality of CPR compromises outcome in a porcine model of prolonged cardiac arrest.

Authors:  Heng Li; Lei Zhang; Zhengfei Yang; Zitong Huang; Bihua Chen; Yongqin Li; Tao Yu
Journal:  Biomed Res Int       Date:  2013-12-02       Impact factor: 3.411

  3 in total

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