The Impact of Body Mass Index Values on the Quality of Cardiopulmonary Resuscitation: a Manikin Study

Authors : Kadir KÜÇÜKCERAN, Mustafa AYRANCI, Muhammet ÖZER

Pages : 269-272

Doi:10.33808/clinexphealthsci.775972

View : 18 | Download : 9

Publication Date : 2021-06-30

Article Type : Research Paper

Abstract :Objective: The purpose of this study is to assess the impact of body mass index insert ignore into journalissuearticles values(BMI); on the quality of cardiopulmonary resuscitation insert ignore into journalissuearticles values(CPR); by using a manikin. Methods: 50 people composed of research assistants, intern doctors, emergency medical technicians and nurses who had previous cardiopulmonary resuscitation experience performed CPR on Laerdal Skillmeter Resusci-Anne® with SimPad manikin during the study. BMI data of participants were recorded and then the participanst were categorised as BMI <21 and BMI >21. Compression data obtained from the summary section of SimPAD QCPR were compared with the participants BMI values. Results: 18 insert ignore into journalissuearticles values(36%); out of 50 participants were male, while 32 insert ignore into journalissuearticles values(64%); were female. 16 insert ignore into journalissuearticles values(32%); out of 50 participants were in the slim group, while 34 insert ignore into journalissuearticles values(68%); were in the normal group. Mean age of participants was calculated as 26.8±4.2, and mean BMI as 22.56±3.32. Mean compression depth in the slim group was significantly lower in comparison to the normal group insert ignore into journalissuearticles values(slim51.94±4.64, normal 55.79±4.35, p=0.006);. Compression ratiowith sufficient depth in the slim group was statistically lower than the normal group insert ignore into journalissuearticles values(slim 66.19±25.79, normal 87.29±19.36, p=0.002);. A statistically significant positive correlation was found in the lineer regression analysis conducted between mean compression depth and BMI insert ignore into journalissuearticles values(r2:0.179, p=0.002);. Moreover, a significant positive correlation was observed in the pearson correlation analysis of mean compression depth and BMI insert ignore into journalissuearticles values(r: 0.423, p= 0.002);. Conclusion: As a result, it was found out that low BMI values are associated with low mean compression depth.
Keywords : Body Mass Index, Cardiopulmonary resuscitation, Basic cardiac life support