A Comparison of the Fractional Change of Left Ventricle by Chest Compression Using Mathematical Method from Chest Computerized Tomography between Elderly and Non-elderly Patients in Thailand

Authors

  • pornpun wattanaruengchai Department of Emergency Medicine, Chaophrayayommarat Hospital, Suphanburi

Keywords:

Chest compression, Elderly, Body weight

Abstract

Aims: This study aimed to assess chest compression depth (based on %fractional change of left ventricle; %LVfc) in elderly patients compared to non-elderly patients by body size variation.

Methods: A retrospective study was conducted among Thai patients receiving chest computerized tomography at Chaophrayayommarat Hospital during 2015-2019. The chest anatomical parameters were measured, then calculated for %LVfc compared to the proportion of 50- and 60- mm depths.

Results: The research investigated 320 patients with a mean age of 62.46±15.01 years and a body mass index (BMI) of 21.53±4.12 kg/m2. Though, The BMI of the elderly was less than the non-elderly, such chest anatomical parameters including chest-diameter, heart-diameter, and non-cardiac soft tissue which were not different. The proportion of 50- and 60- mm chest depths showed a non-significant %LVfc when the elderly and the non-elderly patients were compared. Chest compression at 60- mm depth resulted in a higher %LVfc than to 50-mm depth (35.25±10.15 vs 34.83±10.02; p=0.711 and 47.15±11.35 vs 46.61±11.12; p=0.671 at 50- and 60- mm chest depths, respectively).  Also, no difference in %LVfc between two groups after BMI comparison. However, difference in %LVfc when the two groups were compared by body size variation was found. Those who were of underweight showed a higher %LVfc, while those with overweight showed a lower %LVfc when compared to those with normal weight after making chest compression.

Conclusion: The proportion of 50- and 60- mm of chest depth compression showed a non-significant %LVfc between the elderly and the non-elderly patients despite different body sizes.

Downloads

Download data is not yet available.

References

Mehra R. Global public health problem of sudden cardiac death. J Electrocardiol. 2007;40(6 Suppl):S118-22.

Nichol G, Thomas E, Callaway CW, Hedges J, Powell JL, Aufderheide TP, et al. Regional variation in out-of-hospital cardiac arrest incidence and outcome. JAMA. 2008;300(12) :1423-31.

Gräsner J-T, Herlitz J, Tjelmeland IBM, Wnent J, Masterson S, Lilja G, et al. European Resuscitation Council Guidelines 2021: Epidemiology of cardiac arrest in Europe. Resuscitation. 2021;161:61-79.

Ong ME, Shin SD, De Souza NN, Tanaka H, Nishiuchi T, Song KJ, et al. Outcomes for out-of-hospital cardiac arrests across 7 countries in Asia: The Pan Asian Resuscitation Outcomes Study (PAROS). Resuscitation. 2015;96:100-8.

Chanthawong S, Chau-In W, Pipanmekaporn T, Chittawatanarat K, Kongsayreepong S, Rojanapithayakorn N. Incidence of Cardiac Arrest and Related Factors in a Multi-Center Thai University-Based Surgical Intensive Care Units Study (THAI-SICU Study). J Med Assoc Thai. 2016;99 Suppl 6:S91-s9.

Assawasanti K, Sahasthasz D. Causes of Sudden Cardiac Arrest at Queen Sirikit Heart Center of the Northeast, Khon Kaen, Thailand. KKUJM. 2016;2(4):31-8.

Yeeheng U, Rawiworrakul T. Bystander Cardio-Pulmonary Resuscitation Practice among Out- of- Hospital Cardiac Arrest: Rajavithi Hospital’s Narenthorn Emergency Medical Service Center, Thailand. J Public Health. 2018;48(2):256-69.

Development Foundation for Older Persons’ Development. Ageing population in Thailand [Internet]. [cited 2021 Sep 24]. Available from: https://ageingasia.org/ageing-population-thailand /

Beesems SG, Blom MT, van der Pas MH, Hulleman M, van de Glind EM, van Munster BC, et al. Comorbidity and favorable neurologic outcome after out-of-hospital cardiac arrest in patients of 70 years and older. Resuscitation. 2015;94:33-9.

Herlitz J, Eek M, Engdahl J, Holmberg M, Holmberg S. Factors at resuscitation and outcome among patients suffering from out of hospital cardiac arrest in relation to age. Resuscitation. 2003;58(3):309-17.

Merchant RM, Topjian AA, Panchal AR, Cheng A, Aziz K, Berg KM, et al. Part 1: Executive Summary: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care. Circulation. 2020;142(16_suppl_2):S337-s57.

Paradis NA, Martin GB, Rivers EP, Goetting MG, Appleton TJ, Feingold M, et al. Coronary perfusion pressure and the return of spontaneous circulation in human cardiopulmonary resuscitation. JAMA. 1990;263 (8):1106-13.

Katzman WB, Wanek L, Shepherd JA, Sellmeyer DE. Age-related hyperkyphosis: its causes, consequences, and management. JOSPT. 2010;40(6):352-60.

Sharma G, Goodwin J. Effect of aging on respiratory system physiology and immunology. Clin Interv Aging. 2006; 1(3):253-60.

Yoo KH, Oh J, Lee H, Lee J, Kang H, Lim TH, et al. Comparison of Heart Proportions Compressed by Chest Compressions Between Geriatric and Nongeriatric Patients Using Mathematical Methods and Chest Computed Tomography: A Retrospective Study. Ann Geriatr Med Res. 2018;22(3):130-6.

Khunkhlai N, Aiempaiboonphan P, Kaewlai R, Jenjitranant P, Dissaneevate K, Khruekarnchana P. Estimation of optimal chest compression depth based on chest computed tomography in Thai patients. Resuscitation. 2017;118(56)43.

Bernard R. Fundamentals of biostatistics. 5th ed. Duxbery: Thomson learning; 2000.

Pickard A, Darby M, Soar J. Radiological assessment of the adult chest: implications for chest compressions. Resuscitation. 2006; 71(3):387-90.

Meyer A, Nadkarni V, Pollock A, Babbs C, Nishisaki A, Braga M, et al. Evaluation of the Neonatal Resuscitation Program's recommended chest compression depth using computerized tomography imaging. Resuscitation . 2010; 81(5):544-8.

Cha KC, Kim YJ, Shin HJ, Cha YS, Kim H, Lee KH, et al. Optimal position for external chest compression during cardiopulmonary resuscitation: an analysis based on chest CT in patients resuscitated from cardiac arrest. EMJ. 2013;30(8):615-9.

Martinez-Pitre PJ, Sabbula BR, Cascella M. Restrictive Lung Disease.[Internet]. [cited 2023 Feb 20]. Available from: https://www.ncbi.nlm.gov/ books/NBK560880/

Lee H, Oh J, Lee J, Kang H, Lim TH, Ko BS, et al. Retrospective Study Using Computed Tomography to Compare Sufficient Chest Compression Depth for Cardiopulmonary Resuscitation in Obese Patients. JAHA. 2019;8(23):e013948.

Downloads

Published

30-04-2023

How to Cite

1.
wattanaruengchai pornpun. A Comparison of the Fractional Change of Left Ventricle by Chest Compression Using Mathematical Method from Chest Computerized Tomography between Elderly and Non-elderly Patients in Thailand. Singburi Hosp J [internet]. 2023 Apr. 30 [cited 2025 Dec. 29];31(3):103-16. available from: https://he01.tci-thaijo.org/index.php/shj/article/view/261090

Issue

Vol. 31 No. 3 (2023): January - April 2023

Section

Research Articles

License

Copyright (c) 2023 Singburi Hospital Journal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The published articles are copyrighted by Singburi Hospital.

The statements appearing in each article in this academic journal are the personal opinions of each author and are not related in any way to Singburi Hospital or other hospital personnel. Each author is solely responsible for all contents of their article. If there are any errors, each author alone will be responsible for their own article.