Elsevier

Resuscitation

Volume 142, September 2019, Pages 119-126
Resuscitation

Clinical paper
Association of chest compression and recoil velocities with depth and rate in manual cardiopulmonary resuscitation

https://doi.org/10.1016/j.resuscitation.2019.07.023Get rights and content

Abstract

Aim

Maximum velocity during chest recoil has been proposed as a metric for chest compression quality during cardiopulmonary resuscitation (CPR). This study investigated the relationship of the maximum velocities during compression and recoil phases with compression depth and rate in manual CPR.

Methods

We measured compression instances in out-of-hospital cardiac arrest recordings using custom Matlab programs. Each compression cycle was characterized by depth and rate, maximum compression and recoil velocities (CV and RV), and compression and recoil durations (total and effective). Mean compression and recoil velocities were computed as depth divided by compression and recoil durations, respectively. We correlated CV and RV with their corresponding mean velocities (total and effective), characterized by Pearson's correlation coefficient.

Results

CV/RV were strongly correlated with their corresponding mean velocities, with a median r of 0.83 (0.77–0.88)/0.82 (0.76–0.87) in per patient analysis, 0.86/0.88 for all the population. Correlation with mean effective velocities had a median r of 0.91 (0.87–0.94)/0.92 (0.89–0.94) in per-patient, 0.92/0.94 globally (p < 0.001). Total and effective compression and recoil durations were inversely proportional to compression rate. We observed similar RV values among compressions regardless of whether they were compliant with recommended depth and rate. Conversely, we observed different RV values among compressions having the same depth and rate, but presenting very distinct compression waveforms.

Conclusion

CV and RV were highly correlated with compression depth and compression and recoil times, respectively. Better understanding of the relationship between novel and current quality metrics could help with the interpretation of CPR quality studies.

Introduction

High-quality cardiopulmonary resuscitation (CPR) is key to improving outcomes of cardiac arrest victims.1, 2, 3 CPR quality metrics of compression depth4, 5 and rate,6 chest compression fraction,7 and duration of peri-shock pause (compression cessation prior to and following electrical shock)8, 9 have been independently associated with survival to hospital discharge among victims of out-of-hospital cardiac arrest (OHCA). Complete chest recoil is another component of high-quality CPR since rescuer leaning is common during resuscitation10, 11 and may compromise the blood flow generated by chest compressions.12, 13, 14

Measure of leaning requires force sensors usually built into bulky and expensive devices.15 Chest compression release velocity has been proposed as an alternative indirect measure to identify leaning.16, 17 More affordable accelerometer-based devices characterize the movement of the patient's chest to provide feedback to the rescuers. The term release velocity has been used by some authors to refer to the maximum velocity achieved by the chest during the recoil phase as measured by these devices. However, since this measure characterizes how the chest moves rather than how the rescuer releases the force, we have suggested recoil velocity (RV) as a more accurate term.18 A recent study with out-of-hospital CPR data concluded that, even though the probability of leaning was higher for lower RV values, there was a high overlap in the distributions, and thus RV was ineffective at predicting leaning.18

Recoil velocity has also been proposed for monitoring chest compression quality. Its influence on blood flow and blood pressure and its relation with end-tidal CO2 levels during CPR have been studied in animal models of cardiac arrest.19 The significance of RV as predictor of survival and favourable neurological outcome20, 21, 22 and as predictor of achieved end-tidal CO2 levels during CPR23 has also been assessed in human models. Additionally, RV has been studied as a potential new CPR quality metric in children.24

When a new chest compression quality metric is proposed, its potential relationship with existing well-established metrics should be carefully analysed.21 Understanding these relationships would ensure that studies are well designed and account for confounding factors when interpreting results. For this purpose, we performed a retrospective observational study using CPR data from OHCA episodes containing a large number of chest compression instances. Our hypothesis was that RV is strongly correlated with the mean velocity of the chest during recoil, which in turn is defined as compression depth divided by recoil time. We similarly analysed compression velocity (CV), defined as the maximum velocity achieved during chest compression. We introduce the concepts of effective compression and recoil times and analyse CV and RV in relation to them as well.

Section snippets

Data collection

Data were extracted from adult (≥18 years) OHCA episodes collected from 2013 through 2017 by Tualatin Valley Fire and Rescue (TVF&R), an advanced life support fire agency that serves eleven incorporated cities in Oregon, USA. Episodes (one per patient) were collected as part of the Resuscitation Outcomes Consortium (ROC) Epistry effort at the Portland (OR, USA) site approved by the Oregon Health & Science University (OHSU) Institutional Review Board (IRB00001736). No patient identifying data

Results

Of 703 uses of monitor-defibrillators by TVF&R during 2013 through 2017, 18 cases were excluded because the patients were younger than 18 years of age, and 69 because very few (<200 compressions) or no CPR was administered. In the 616 episodes that met our inclusion criteria, with a median (IQR) duration of 32 (27–47) min, a total of 1,162,766 compression instances were automatically detected, a median of 1726 (1043–2609) compressions per episode. We discarded 86,262 (7%) compressions with

Discussion

Recoil velocity (RV), defined as the maximum velocity achieved by the chest during the recoil phase, has been proposed as a new CPR quality metric. In human studies, contradictory results have been presented. Kovacs et al. reported an independent association between RV and improved survival and favourable neurological outcome.21 In another study by Cheskes et al., statistically significant differences in RV were reported between survivors and non-survivors on univariate analysis.22 However,

Conclusions

Recoil (or release) velocity has been proposed as a new CPR quality metric. In the absence of leaning, compression and recoil velocities are directly correlated with compression depth and inversely proportional to compression and recoil times, respectively. This relationship was significantly stronger when restricted to effective depth and durations. Understanding these relationships could help to better interpret the results of CPR quality studies related to recoil velocity.

Conflict of interest statement

Author Digna M González-Otero is employed by BEXEN Cardio, a Spanish medical device manufacturer that markets an accelerometer-based CPR feedback device.

The authors confirm that there has been no significant financial support for this work that could have influenced its outcome.

Acknowledgements

Authors from the University of the Basque Country received financial support from the Basque Government through the grants IT1087-16 (for research groups) and 2018222012 (research projects oriented to health development). Author from BEXEN Cardio received financial support from the Spanish Ministry of Economy, Industry and Competitiveness through the program Torres Quevedo PTQ-16-08201.

We would like to thank the EMS providers and staff of Tualatin Valley Fire and Rescue for their dedication and

References (29)

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