Chest compression quality declines in the minutes preceding scene departure in out-of-hospital cardiac arrest

Silver, Annemarie; Vadeboncoeur, Tyler; Venuti, Mark; Tobin, John; Smith, Gary A.; Mullins, Margaret; Spaite, Daniel W; Bobrow, Bentley J.

doi:10.1016/j.resuscitation.2013.08.080

Cited by 2 publications

(2 citation statements)

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“…6,[16][17][18][27][28][29][30][31] Compressions of insufficient depth and rate, frequent and prolonged interruptions to chest compressions, and incomplete chest recoil are common. 6,12,17,32 Encouragingly, CPR quality is a modifiable factor with previous studies demonstrating that CPR quality can be improved.…”

Section: Discussionmentioning

confidence: 99%

Chest compression release velocity: Association with survival and favorable neurologic outcome after out-of-hospital cardiac arrest

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Chest compression release velocity: Association with survival and favorable neurologic outcome after out-of-hospital cardiac arrest

et al. 2015

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“…This could be particularly apparent during the latter half of the resuscitation effort. Additionally, a decline in chest compression quality has been observed in the minutes prior to scene departures [ 19 ]. These differences suggest that performance results derived from a simulated study may not be directly extrapolated to real practice.…”

Section: Introductionmentioning

confidence: 99%

Monitoring chest compression quality during cardiopulmonary resuscitation: Proof-of-concept of a single accelerometer-based feedback algorithm

et al. 2018

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BackgroundThe use of real-time feedback systems to guide rescuers during cardiopulmonary resuscitation (CPR) significantly contributes to improve adherence to published resuscitation guidelines. Recently, we designed a novel method for computing depth and rate of chest compressions relying solely on the spectral analysis of chest acceleration. That method was extensively tested in a simulated manikin scenario. The purpose of this study is to report the results of this method as tested in human out-of-hospital cardiac arrest (OHCA) cases.Materials and methodsThe algorithm was evaluated retrospectively with seventy five OHCA episodes recorded by monitor-defibrillators equipped with a CPR feedback device. The acceleration signal and the compression signal computed by the CPR feedback device were stored in each episode. The algorithm was continuously applied to the acceleration signals. The depth and rate values estimated every 2-s from the acceleration data were compared to the reference values obtained from the compression signal. The performance of the algorithm was assesed in terms of the sensitivity and positive predictive value (PPV) for detecting compressions and in terms of its accuracy through the analysis of measurement error.ResultsThe algorithm reported a global sensitivity and PPV of 99.98% and 99.79%, respectively. The median (P75) unsigned error in depth and rate was 0.9 (1.7) mm and 1.0 (1.7) cpm, respectively. In 95% of the analyzed 2-s windows the error was below 3.5 mm and 3.1 cpm, respectively.ConclusionsThe CPR feedback algorithm proved to be reliable and accurate when tested retrospectively with human OHCA episodes. A new CPR feedback device based on this algorithm could be helpful in the resuscitation field.

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Chest compression quality declines in the minutes preceding scene departure in out-of-hospital cardiac arrest

Cited by 2 publications

References 0 publications

Chest compression release velocity: Association with survival and favorable neurologic outcome after out-of-hospital cardiac arrest

Chest compression release velocity: Association with survival and favorable neurologic outcome after out-of-hospital cardiac arrest

Monitoring chest compression quality during cardiopulmonary resuscitation: Proof-of-concept of a single accelerometer-based feedback algorithm

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