Literature DB >> 35455895

Impact of the Over-the-Head Position with a Supraglottic Airway Device on Chest Compression Depth and Rate: A Post Hoc Analysis of a Randomized Controlled Trial.

Loric Stuby1, Laurent Suppan2, Laurent Jampen3, David Thurre1.   

Abstract

There is considerable controversy regarding the optimal airway management strategy in the case of out-of-hospital cardiac arrest. Registry-based studies yield contradicting results and the actual impact of using supraglottic devices on survival and neurological outcomes remains unknown. In a recent simulation study, the use of an i-gel® device was associated with significantly shallower chest compressions. It was hypothesized that these shallower compressions could be linked to the provision of chest compressions in an over-the-head position, to the cumbersome airway management apparatus, and to a shallower i-gel® insertion depth in the manikin. To test this hypothesis, we carried out a post hoc analysis, which is described in this report. Briefly, no association was found between the over-the-head position and compression depth.

Entities:  

Keywords:  CPR; airway; cardiac arrest; chest compression depth; emergency medical services; i-gel®; paramedics; prehospital; resuscitation; supraglottic airway device

Year:  2022        PMID: 35455895      PMCID: PMC9025543          DOI: 10.3390/healthcare10040718

Source DB:  PubMed          Journal:  Healthcare (Basel)        ISSN: 2227-9032


1. Introduction

After cardiac arrest (CA), high-quality chest compressions, at a rate of 100 to 120 per minute with a depth of 5 to 6 cm, are required to increase the probability of achieving the return of spontaneous circulation (ROSC) [1]. We recently carried out a randomized controlled trial to determine whether the chest compression fraction (CCF) could be increased by using a supraglottic airway device (SGA) rather than a bag-valve-mask (BVM) device. We found that the i-gel® allowed higher CCFs, and better ventilations parameters without delaying critical actions (time to first shock and time to first ventilation). However, we found that chest compressions were unexpectedly and significantly shallower in the SGA group (median (Q1; Q3) in the i-gel® group 4.6 cm (4.3; 5.0) versus 5.2 cm (4.9; 5.3) in the BVM group, p = 0.007). Accordingly, the mean proportion of compressions within the recommended depth target (5 to 6 cm) was lower in the experimental group (41.7% (95% CI 28.2–55.3) versus 66.5% (95% CI 51.5–81.4), p = 0.01) [2,3]. Even though these results were obtained through a simulation study, their clinical impact is be worthy of attention. Indeed, several prior analyses of CA registries reported that the use of SGA devices was associated with lower ROSC rates [4,5,6]. These registry-based studies all present multiple biases, including a lack of data regarding chest compression depth and rate. Considering the shallower compressions reported in our simulation study, it is reasonable to believe that differences in chest compression depths could at least partly explain the lower rates of ROSC associated with the use of SGA devices in these registry-based studies. Among the potential reasons that could explain the shallower compressions found in the SGA group, we proposed the hypothesis that the cumbersome airway management apparatus coupled with the shallower i-gel® insertion depth in manikins (as compared to humans) may have prevented the adequate provision of chest compressions when paramedics used an over-the-head position [7]. Therefore, our objective is to determine whether chest compression depth is more adequate before i-gel® insertion or when compressions are performed from the manikin’s side (when performing two-responder CPR), than when the over-the-head position is used with an i-gel® in place.

2. Methods

In the present study, we performed a post hoc analysis of our original dataset [8], using only data recorded in the i-gel® group. All data were automatically collected through the manikin’s sensors and extracted to a comma-separated values (CSVs) file, thereby preventing assessment bias. In the original study, the variables of interest were automatically generated using a custom-coded PHP script, which had to be adapted for the purpose of the present analysis. Each entry was divided in two periods (Figure 1). The “Pre-SGA period” was defined as the time between the first compression and the second shock. This time included the compressions performed before the insertion of the SGA device and compressions performed from the manikin’s side. The “SGA period” began after the second shock and lasted until the end of the scenario, which lasted 10 min and during which ROSC could not be achieved. During this period, all the chest compressions were delivered in an over-the-head position while the i-gel® was in place (https://swiss-cpr-studies.ch/cpr2-intro-vid, (accessed on 20 February 2022)).
Figure 1

The periods of analysis.

The primary outcome was the percentage of the compressions with a depth of 5 to 6 cm. The secondary outcomes were the mean compression depth, mean compression rate, percentage of the compressions with a rate of 100 to 120 compressions per minute (cpm), and percentage of correct chest recoil. The distributions were assessed graphically and by using the Shapiro–Wilk test in case of doubt. A paired t-test, a Wilcoxon signed-rank test or a sign test was applied, depending on the assumptions.

3. Results

The experimental group consisted of 13 simulations. Among them, 11/13 (84.5%) teams switched to 30:2 CPR, as expected, 2 minutes after the first rhythm analysis; the other teams (2/13, 15.5%) resumed continuous compressions for an additional 2 min before switching to the 30:2 scheme. The mean proportion of the compressions with a correct depth was similar between the pre-SGA and the SGA periods (41.5% (95% CI 23.4–59.6) versus 41.6% (95% CI 25.9–57.4), p = 0.99) (Figure 2).
Figure 2

The proportions of the compressions with the correct depths by period (p = 0.99).

There were no significant differences in the secondary outcomes between the two periods (Table 1).
Table 1

The secondary outcomes.

OutcomePre-SGA PeriodSGA Periodp-Value
Compressions’ depth, mean (95% CI), cm4.6 (4.3–4.9)4.5 (4.2–4.8)0.55
Compressions’ rate, mean (95% CI), cpm116 (111–121)116 (112–120)0.96
Compressions within the rate target, % (95% CI)73 (55–91)70 (54–87)0.47
Compressions with the correct chest recoil, median % (Q1–Q3)97 (92–99)100 (86–100)0.97

4. Discussion

The shallower compressions obtained from the SGA group did not appear to be linked to their provision in an over-the-head position, while an i-gel® device was in place. While the provision of asynchronous ventilations could probably increase the thoracic cage rigidity in actual out-of-hospital cardiac arrest victims, it is highly doubtful that this was the case in this simulated model, since the cardiac arrest manikin was equipped with a spring designed to allow for a complete recoil. Although the actual cause of these shallower compressions remains unproven, it is probable that they are linked to the introduction of a new airway management device and a new resuscitation approach. Since this hypothesis might also hold true for registry-based studies, we believe that cardiac arrest registries should systematically include the data regarding chest compression quality. Furthermore, we support the use of feedback devices, which have been shown to greatly increase the proportion of adequate chest compressions [9,10]. Consequently, the data related to their use should also be recorded in cardiac arrest registries. The main limitation of this analysis is the rather limited sample size and the post hoc analysis design. However, an underpowered analysis is unlikely, since a significant difference in the chest compression depths was identified using the same dataset. Moreover, the results are very similar between the two periods and there is a considerable overlap between the confidence intervals.

5. Conclusions

In the present post hoc analysis, providing over-the head compressions with an i-gel® device in place had no influence on the chest compression depth or rate, and the reason for the shallower chest compressions found in the i-gel® group remains unknown. The impact of CPR-feedback devices on the chest compression quality when introducing new airway management devices should now be assessed. Finally, it could be valuable to the data regarding chest compression quality more systematically in cardiac registries.
  9 in total

1.  Effects of advanced life support on patients who suffered cardiac arrest outside of hospital and were defibrillated.

Authors:  Akihito Hagihara; Daisuke Onozuka; Takashi Nagata; Manabu Hasegawa
Journal:  Am J Emerg Med       Date:  2017-07-05       Impact factor: 2.469

2.  Effect of pre-hospital advanced airway management for out-of-hospital cardiac arrest caused by respiratory disease: a propensity score-matched study.

Authors:  N Ohashi-Fukuda; T Fukuda; N Yahagi
Journal:  Anaesth Intensive Care       Date:  2017-05       Impact factor: 1.669

3.  Association Between Prehospital Supraglottic Airway Compared With Bag-Mask Ventilation and Glasgow-Pittsburgh Cerebral Performance Category 1 in Patients With Out-of-Hospital Cardiac Arrest.

Authors:  Keisuke Jinno; Toru Hifumi; Tomoya Okazaki; Yasuhiro Kuroda; Yoshio Tahara; Naohiro Yonemoto; Hiroshi Nonogi; Ken Nagao; Takanori Ikeda; Naoki Sato; Hiroyuki Tsutsui
Journal:  Circ J       Date:  2019-10-22       Impact factor: 2.993

4.  Effect of Using an Audiovisual CPR Feedback Device on Chest Compression Rate and Depth.

Authors:  Jeremy C P Wee; Mooppil Nandakumar; Yiong Huak Chan; Rowena S L Yeo; Kaldip Kaur; V Anantharaman; Susan Yap; Marcus E H Ong
Journal:  Ann Acad Med Singapore       Date:  2014-01       Impact factor: 2.473

5.  Compression depth measured by accelerometer vs. outcome in patients with out-of-hospital cardiac arrest.

Authors:  Graham Nichol; Mohamud R Daya; Laurie J Morrison; Tom P Aufderheide; Christian Vaillancourt; Gary M Vilke; Ahamed Idris; Siobhan Brown
Journal:  Resuscitation       Date:  2021-07-29       Impact factor: 5.262

6.  Comparison of standard and over-the-head method of chest compressions during cardiopulmonary resuscitation - a simulation study.

Authors:  Michał Ćwiertnia; Marek Kawecki; Tomasz Ilczak; Monika Mikulska; Mieczysław Dutka; Rafał Bobiński
Journal:  BMC Emerg Med       Date:  2019-11-26

7.  Effect of Early Supraglottic Airway Device Insertion on Chest Compression Fraction during Simulated Out-of-Hospital Cardiac Arrest: Randomised Controlled Trial.

Authors:  Loric Stuby; Laurent Jampen; Julien Sierro; Maxime Bergeron; Erik Paus; Thierry Spichiger; Laurent Suppan; David Thurre
Journal:  J Clin Med       Date:  2021-12-31       Impact factor: 4.241

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

Authors:  Felix Lakomek; Roman-Patrik Lukas; Peter Brinkrolf; Andreas Mennewisch; Nicole Steinsiek; Peter Gutendorf; Hendrik Sudowe; Michael Heller; Robert Kwiecien; Alexander Zarbock; Andreas Bohn
Journal:  PLoS One       Date:  2020-02-24       Impact factor: 3.240

9.  Effect on Chest Compression Fraction of Continuous Manual Compressions with Asynchronous Ventilations Using an i-gel® versus 30:2 Approach during Simulated Out-of-Hospital Cardiac Arrest: Protocol for a Manikin Multicenter Randomized Controlled Trial.

Authors:  Loric Stuby; Laurent Jampen; Julien Sierro; Erik Paus; Thierry Spichiger; Laurent Suppan; David Thurre
Journal:  Healthcare (Basel)       Date:  2021-03-20
  9 in total

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