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Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study

INTRODUCTION: The effectiveness of cardiopulmonary resuscitation is determined by appropriate chest compression depth and rate. The American Heart Association recommended CC depth at 5–6 cm to indicate proper cardiac output during cardiac arrest. However, many studies showed the differences in the b...

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Autores principales: Atiksawedparit, Pongsakorn, Sathapornthanasin, Thanaporn, Chalermdamrichai, Phanorn, Sanguanwit, Pitsucha, Saksobhavivat, Nitima, Saelee, Ratchanee, Phattharapornjaroen, Phatthranit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897514/
https://www.ncbi.nlm.nih.gov/pubmed/36735661
http://dx.doi.org/10.1371/journal.pone.0279056
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author Atiksawedparit, Pongsakorn
Sathapornthanasin, Thanaporn
Chalermdamrichai, Phanorn
Sanguanwit, Pitsucha
Saksobhavivat, Nitima
Saelee, Ratchanee
Phattharapornjaroen, Phatthranit
author_facet Atiksawedparit, Pongsakorn
Sathapornthanasin, Thanaporn
Chalermdamrichai, Phanorn
Sanguanwit, Pitsucha
Saksobhavivat, Nitima
Saelee, Ratchanee
Phattharapornjaroen, Phatthranit
author_sort Atiksawedparit, Pongsakorn
collection PubMed
description INTRODUCTION: The effectiveness of cardiopulmonary resuscitation is determined by appropriate chest compression depth and rate. The American Heart Association recommended CC depth at 5–6 cm to indicate proper cardiac output during cardiac arrest. However, many studies showed the differences in the body builds between Caucasians and Asians. Therefore, this study aimed to determine heart compression fraction (HCF) in the Thai population by using contrast-enhanced computed tomography (CT) scan of the chest and a mathematical model. MATERIALS AND METHODS: Consecutive contrast-enhanced CT scans of the chest performed at Ramathibodi Hospital were retrospectively reviewed from January to March 2018 by two independent radiologists. Patients’ characteristics, including gender, age, weight, height, and pre-existing diseases, were recorded, and the chest parameters were measured from a CT scan. The heart compression fraction (HCF) was subsequently calculated. RESULTS: Of 306 subjects, there were 139 (45.4%) males, 148 (47.4%) lung diseases and 10 (3.3%) heart diseases. Mean age and BMI were 60.4 years old and 23.8 kg/m(2), respectively. Chest diameter, heart diameter, and non-cardiac soft tissue were significantly smaller in females compared to males. Mean (SD) HCF proportional with 50 mm and 60 mm depth were 38.3% (13.3%) and 50% (14.3%), respectively. There were significant differences of HCF proportional by 50 mm and 60 mm depth between men and women (33.2% vs 42.6% and 44% vs 54.9%, respectively (P<0.001)). In addition, a decrease in HCF was significantly observed among higher BMI groups. CONCLUSION: The CT scan and mathematical model showed that 38% and 50% HCF proportions were generated by 50 mm and 60 mm CC depth. HCF proportions were significantly different between genders and among BMI groups. The recommended depth of 5–6 cm is likely to provide sufficient CC depth in the population of Thailand.
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spelling pubmed-98975142023-02-04 Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study Atiksawedparit, Pongsakorn Sathapornthanasin, Thanaporn Chalermdamrichai, Phanorn Sanguanwit, Pitsucha Saksobhavivat, Nitima Saelee, Ratchanee Phattharapornjaroen, Phatthranit PLoS One Research Article INTRODUCTION: The effectiveness of cardiopulmonary resuscitation is determined by appropriate chest compression depth and rate. The American Heart Association recommended CC depth at 5–6 cm to indicate proper cardiac output during cardiac arrest. However, many studies showed the differences in the body builds between Caucasians and Asians. Therefore, this study aimed to determine heart compression fraction (HCF) in the Thai population by using contrast-enhanced computed tomography (CT) scan of the chest and a mathematical model. MATERIALS AND METHODS: Consecutive contrast-enhanced CT scans of the chest performed at Ramathibodi Hospital were retrospectively reviewed from January to March 2018 by two independent radiologists. Patients’ characteristics, including gender, age, weight, height, and pre-existing diseases, were recorded, and the chest parameters were measured from a CT scan. The heart compression fraction (HCF) was subsequently calculated. RESULTS: Of 306 subjects, there were 139 (45.4%) males, 148 (47.4%) lung diseases and 10 (3.3%) heart diseases. Mean age and BMI were 60.4 years old and 23.8 kg/m(2), respectively. Chest diameter, heart diameter, and non-cardiac soft tissue were significantly smaller in females compared to males. Mean (SD) HCF proportional with 50 mm and 60 mm depth were 38.3% (13.3%) and 50% (14.3%), respectively. There were significant differences of HCF proportional by 50 mm and 60 mm depth between men and women (33.2% vs 42.6% and 44% vs 54.9%, respectively (P<0.001)). In addition, a decrease in HCF was significantly observed among higher BMI groups. CONCLUSION: The CT scan and mathematical model showed that 38% and 50% HCF proportions were generated by 50 mm and 60 mm CC depth. HCF proportions were significantly different between genders and among BMI groups. The recommended depth of 5–6 cm is likely to provide sufficient CC depth in the population of Thailand. Public Library of Science 2023-02-03 /pmc/articles/PMC9897514/ /pubmed/36735661 http://dx.doi.org/10.1371/journal.pone.0279056 Text en © 2023 Atiksawedparit et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Atiksawedparit, Pongsakorn
Sathapornthanasin, Thanaporn
Chalermdamrichai, Phanorn
Sanguanwit, Pitsucha
Saksobhavivat, Nitima
Saelee, Ratchanee
Phattharapornjaroen, Phatthranit
Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title_full Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title_fullStr Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title_full_unstemmed Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title_short Using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in Thai population: A retrospective cross-sectional study
title_sort using computed tomography to evaluate proper chest compression depth for cardiopulmonary resuscitation in thai population: a retrospective cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9897514/
https://www.ncbi.nlm.nih.gov/pubmed/36735661
http://dx.doi.org/10.1371/journal.pone.0279056
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