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Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial

BACKGROUND: During circulatory arrest, effective external chest compression (ECC) is a key element for patient survival. In 2005, international emergency medical organisations changed their recommended compression-ventilation ratio (CVR) from 15:2 to 30:2 to acknowledge the vital importance of ECC....

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Autores principales: Russo, Sebastian G, Neumann, Peter, Reinhardt, Sylvia, Timmermann, Arnd, Niklas, André, Quintel, Michael, Eich, Christoph B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247179/
https://www.ncbi.nlm.nih.gov/pubmed/22053981
http://dx.doi.org/10.1186/1471-227X-11-20
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author Russo, Sebastian G
Neumann, Peter
Reinhardt, Sylvia
Timmermann, Arnd
Niklas, André
Quintel, Michael
Eich, Christoph B
author_facet Russo, Sebastian G
Neumann, Peter
Reinhardt, Sylvia
Timmermann, Arnd
Niklas, André
Quintel, Michael
Eich, Christoph B
author_sort Russo, Sebastian G
collection PubMed
description BACKGROUND: During circulatory arrest, effective external chest compression (ECC) is a key element for patient survival. In 2005, international emergency medical organisations changed their recommended compression-ventilation ratio (CVR) from 15:2 to 30:2 to acknowledge the vital importance of ECC. We hypothesised that physical fitness, biometric data and gender can influence the quality of ECC. Furthermore, we aimed to determine objective parameters of physical fitness that can reliably predict the quality of ECC. METHODS: The physical fitness of 30 male and 10 female healthcare professionals was assessed by cycling and rowing ergometry (focussing on lower and upper body, respectively). During ergometry, continuous breath-by-breath ergospirometric measurements and heart rate (HR) were recorded. All participants performed two nine-minute sequences of ECC on a manikin using CVRs of 30:2 and 15:2. We measured the compression and decompression depths, compression rates and assessed the participants' perception of exhaustion and comfort. The median body mass index (BMI; male 25.4 kg/m(2 )and female 20.4 kg/m(2)) was used as the threshold for subgroup analyses of participants with higher and lower BMI. RESULTS: HR during rowing ergometry at 75 watts (HR(75)) correlated best with the quality of ECC (r = -0.57, p < 0.05). Participants with a higher BMI and better physical fitness performed better and showed less fatigue during ECC. These results are valid for the entire cohort, as well as for the gender-based subgroups. The compressions of female participants were too shallow and more rapid (mean compression depth was 32 mm and rate was 117/min with a CVR of 30:2). For participants with a lower BMI and higher HR(75), the compression depth decreased over time, beginning after four minutes for the 15:2 CVR and after three minutes for the 30:2 CVR. Although found to be more exhausting, a CVR of 30:2 was rated as being more comfortable. CONCLUSION: The quality of the ECC and fatigue can both be predicted by BMI and physical fitness. An evaluation focussing on the upper body may be a more valid predictor of ECC quality than cycling based tests. Our data strongly support the recommendation to relieve ECC providers after two minutes.
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spelling pubmed-32471792011-12-29 Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial Russo, Sebastian G Neumann, Peter Reinhardt, Sylvia Timmermann, Arnd Niklas, André Quintel, Michael Eich, Christoph B BMC Emerg Med Research Article BACKGROUND: During circulatory arrest, effective external chest compression (ECC) is a key element for patient survival. In 2005, international emergency medical organisations changed their recommended compression-ventilation ratio (CVR) from 15:2 to 30:2 to acknowledge the vital importance of ECC. We hypothesised that physical fitness, biometric data and gender can influence the quality of ECC. Furthermore, we aimed to determine objective parameters of physical fitness that can reliably predict the quality of ECC. METHODS: The physical fitness of 30 male and 10 female healthcare professionals was assessed by cycling and rowing ergometry (focussing on lower and upper body, respectively). During ergometry, continuous breath-by-breath ergospirometric measurements and heart rate (HR) were recorded. All participants performed two nine-minute sequences of ECC on a manikin using CVRs of 30:2 and 15:2. We measured the compression and decompression depths, compression rates and assessed the participants' perception of exhaustion and comfort. The median body mass index (BMI; male 25.4 kg/m(2 )and female 20.4 kg/m(2)) was used as the threshold for subgroup analyses of participants with higher and lower BMI. RESULTS: HR during rowing ergometry at 75 watts (HR(75)) correlated best with the quality of ECC (r = -0.57, p < 0.05). Participants with a higher BMI and better physical fitness performed better and showed less fatigue during ECC. These results are valid for the entire cohort, as well as for the gender-based subgroups. The compressions of female participants were too shallow and more rapid (mean compression depth was 32 mm and rate was 117/min with a CVR of 30:2). For participants with a lower BMI and higher HR(75), the compression depth decreased over time, beginning after four minutes for the 15:2 CVR and after three minutes for the 30:2 CVR. Although found to be more exhausting, a CVR of 30:2 was rated as being more comfortable. CONCLUSION: The quality of the ECC and fatigue can both be predicted by BMI and physical fitness. An evaluation focussing on the upper body may be a more valid predictor of ECC quality than cycling based tests. Our data strongly support the recommendation to relieve ECC providers after two minutes. BioMed Central 2011-11-04 /pmc/articles/PMC3247179/ /pubmed/22053981 http://dx.doi.org/10.1186/1471-227X-11-20 Text en Copyright ©2011 Russo et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Russo, Sebastian G
Neumann, Peter
Reinhardt, Sylvia
Timmermann, Arnd
Niklas, André
Quintel, Michael
Eich, Christoph B
Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title_full Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title_fullStr Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title_full_unstemmed Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title_short Impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
title_sort impact of physical fitness and biometric data on the quality of external chest compression: a randomised, crossover trial
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3247179/
https://www.ncbi.nlm.nih.gov/pubmed/22053981
http://dx.doi.org/10.1186/1471-227X-11-20
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