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Aim: We evaluated the appropriateness of various chest compression (CC) depths among Thai population by comparing the calculated heart compression fraction (HCF) using mathematical methods based on chest computed tomography (CT) measurements. Methods: This multicenter retrospective cross-sectional study was conducted from September 2014 to December 2020. Chest parameters included external anteroposterior diameter (EAPD), internal anteroposterior diameter (IAPD), heart anteroposterior diameter (HAPD), and non-cardiac soft tissue measured at the level of maximum left ventricular diameter (LVmax). We compared the HCFs as calculated from CT parameters using different CC depths at 5 cm, 6 cm, 1/4 of EAPD, and 1/3 of EAPD, with further subgroup analysis stratified by sex and BMI. Results: A total of 2927 eligible adult patients with contrast-enhanced chest CT were included. The study group had mean age of 60.1 ± 14.7 years, mean BMI of 22 ± 4.4 kg/m2, and were 57% males. The mean HCFs were 41.5%, 53.5%, 42.4%, and 62.6%, for CC depths of 50 mm, 60 mm, 1/4 of EAPD, and 1/3 of EAPD respectively. HCF was significantly lower in male patients for all CC depths. Advanced age and higher BMI showed significant correlation with lower HCF for CC depths of 50 mm and 60 mm. Conclusion: The CC depth measure of 50-60 mm demonstrated efficacy in maintaining HCF and coronary perfusion in the general population except for geriatric and obese individuals. Adjusting CC depth to 1/4-1/3 of the EAPD yielded better outcomes. Future research should prioritize determining individualized CC depths based on EAPD proportion.
RESUMEN
INTRODUCTION: Adequate chest compression is crucial for cardiopulmonary resuscitation (CPR). There are several chest compression monitoring devices with different costs. This study aimed to evaluate the agreement rate of Improved Quality of Cardiopulmonary Resuscitation meter (IQ-CPR meter) and automated external defibrillator (AED) in chest compression quality monitoring. METHODS: In this comparative study, participants were instructed to perform chest compression on the CPR manikins with the set rate of 110 times/minute for two minutes. The CPR manikins had two monitors: AED (R series®, Zoll company) and IQ-CPR meter. AED showed the depth and speed of chest compression on the screen, while IQ-CPR meter showed the depth of each chest compression by color light for quality of chest compression depth. Video-based analysis was used to compare the chest compression quality monitoring between the 2 devices. RESULTS: There were 27 participants in the study with a mean age and body mass index (standard deviation; SD) of 26.00 (5.65) years, and 22.93 (3.62) kg/m2 (70.37% male). The median (1st to 3rd quartile range) of chest compression experience was 3 (1.00-6.50) years. The mean (SD) of chest compression rate was 107 (5.29) times/minute. Based on Cohen's Kappa correlation, agreement between the IQ-CPR meter and the AED was 66.54%. CONCLUSION: The IQ-CPR meter had fair agreement with the computerized chest compression monitoring device with lower cost and simple, real time audiovisual feedback.
