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Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study
BACKGROUND: The depth of chest compression (CC) during cardiac arrest is associated with patient survival and good neurological outcomes. Previous studies showed that mattress compression can alter the amount of CCs given with adequate depth. We aim to quantify the amount of mattress compressibility...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806490/ https://www.ncbi.nlm.nih.gov/pubmed/29450023 http://dx.doi.org/10.1186/s41077-017-0057-y |
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author | Lin, Yiqun Wan, Brandi Belanger, Claudia Hecker, Kent Gilfoyle, Elaine Davidson, Jennifer Cheng, Adam |
author_facet | Lin, Yiqun Wan, Brandi Belanger, Claudia Hecker, Kent Gilfoyle, Elaine Davidson, Jennifer Cheng, Adam |
author_sort | Lin, Yiqun |
collection | PubMed |
description | BACKGROUND: The depth of chest compression (CC) during cardiac arrest is associated with patient survival and good neurological outcomes. Previous studies showed that mattress compression can alter the amount of CCs given with adequate depth. We aim to quantify the amount of mattress compressibility on two types of ICU mattresses and explore the effect of memory foam mattress use and a backboard on mattress compression depth and effect of feedback source on effective compression depth. METHODS: The study utilizes a cross-sectional self-control study design. Participants working in the pediatric intensive care unit (PICU) performed 1 min of CC on a manikin in each of the following four conditions: (i) typical ICU mattress; (ii) typical ICU mattress with a CPR backboard; (iii) memory foam ICU mattress; and (iv) memory foam ICU mattress with a CPR backboard, using two different sources of real-time feedback: (a) external accelerometer sensor device measuring total compression depth and (b) internal light sensor measuring effective compression depth only. CPR quality was concurrently measured by these two devices. The differences of the two measures (mattress compression depth) were summarized and compared using multilevel linear regression models. Effective compression depths with different sources of feedback were compared with a multilevel linear regression model. RESULTS: The mean mattress compression depth varied from 24.6 to 47.7 mm, with percentage of depletion from 31.2 to 47.5%. Both use of memory foam mattress (mean difference, MD 11.7 mm, 95%CI 4.8–18.5 mm) and use of backboard (MD 11.6 mm, 95% CI 9.0–14.3 mm) significantly minimized the mattress compressibility. Use of internal light sensor as source of feedback improved effective CC depth by 7–14 mm, compared with external accelerometer sensor. CONCLUSION: Use of a memory foam mattress and CPR backboard minimizes mattress compressibility, but depletion of compression depth is still substantial. A feedback device measuring sternum-to-spine displacement can significantly improve effective compression depth on a mattress. TRIAL REGISTRATION: Not applicable. This is a mannequin-based simulation research. |
format | Online Article Text |
id | pubmed-5806490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58064902018-02-15 Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study Lin, Yiqun Wan, Brandi Belanger, Claudia Hecker, Kent Gilfoyle, Elaine Davidson, Jennifer Cheng, Adam Adv Simul (Lond) Research BACKGROUND: The depth of chest compression (CC) during cardiac arrest is associated with patient survival and good neurological outcomes. Previous studies showed that mattress compression can alter the amount of CCs given with adequate depth. We aim to quantify the amount of mattress compressibility on two types of ICU mattresses and explore the effect of memory foam mattress use and a backboard on mattress compression depth and effect of feedback source on effective compression depth. METHODS: The study utilizes a cross-sectional self-control study design. Participants working in the pediatric intensive care unit (PICU) performed 1 min of CC on a manikin in each of the following four conditions: (i) typical ICU mattress; (ii) typical ICU mattress with a CPR backboard; (iii) memory foam ICU mattress; and (iv) memory foam ICU mattress with a CPR backboard, using two different sources of real-time feedback: (a) external accelerometer sensor device measuring total compression depth and (b) internal light sensor measuring effective compression depth only. CPR quality was concurrently measured by these two devices. The differences of the two measures (mattress compression depth) were summarized and compared using multilevel linear regression models. Effective compression depths with different sources of feedback were compared with a multilevel linear regression model. RESULTS: The mean mattress compression depth varied from 24.6 to 47.7 mm, with percentage of depletion from 31.2 to 47.5%. Both use of memory foam mattress (mean difference, MD 11.7 mm, 95%CI 4.8–18.5 mm) and use of backboard (MD 11.6 mm, 95% CI 9.0–14.3 mm) significantly minimized the mattress compressibility. Use of internal light sensor as source of feedback improved effective CC depth by 7–14 mm, compared with external accelerometer sensor. CONCLUSION: Use of a memory foam mattress and CPR backboard minimizes mattress compressibility, but depletion of compression depth is still substantial. A feedback device measuring sternum-to-spine displacement can significantly improve effective compression depth on a mattress. TRIAL REGISTRATION: Not applicable. This is a mannequin-based simulation research. BioMed Central 2017-11-16 /pmc/articles/PMC5806490/ /pubmed/29450023 http://dx.doi.org/10.1186/s41077-017-0057-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Lin, Yiqun Wan, Brandi Belanger, Claudia Hecker, Kent Gilfoyle, Elaine Davidson, Jennifer Cheng, Adam Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title | Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title_full | Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title_fullStr | Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title_full_unstemmed | Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title_short | Reducing the impact of intensive care unit mattress compressibility during CPR: a simulation-based study |
title_sort | reducing the impact of intensive care unit mattress compressibility during cpr: a simulation-based study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5806490/ https://www.ncbi.nlm.nih.gov/pubmed/29450023 http://dx.doi.org/10.1186/s41077-017-0057-y |
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