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Blood Loss Prediction of Rats in Hemorrhagic Shock Using a Linear Regression Model  

Lee, Tak-Hyung (Graduate Program in Biomedical Engineering, Yonsei University)
Lee, Ju-Hyung (Graduate Program in Biomedical Engineering, Yonsei University)
Choi, Jae-Rim (Graduate Program in Biomedical Engineering, Yonsei University)
Yang, Dong-In (Graduate Program in Biomedical Engineering, Yonsei University)
Kim, Deok-Won (Graduate Program in Biomedical Engineering, Yonsei University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.47, no.1, 2010 , pp. 56-61 More about this Journal
Abstract
Hemorrhagic shock is a common cause of death in the emergency department. The purpose of this study was to investigate the relationship between blood loss as a percent of the total estimated blood volume (% blood loss) and changes in several physiological parameters. The other goal was to achieve an accurate prediction of percent blood loss for hemorrhagic shock in rats using a linear regression model. We allocated 60 Sprague-Dawley rats into four groups: 0ml, 2ml, 2.5ml, 3 mL/100 g during 15 min. We analyzed the heart rate, systolic and diastolic blood pressure, respiration rate, and body temperature in relation to the percent blood loss. We generated a linear regression model predicting the percent blood loss using a randomly chosen 360 data set and the R-square value of the model was 0.80. Root mean square error of the tested 360 data set using the linear regression was 5.7%. Even though the linear regression model is not directly applicable to clinical situation, our method of predicting % blood loss could be helpful in determining the necessary fluid volume for resuscitation in the future.
Keywords
Hemorrhagic shock; Linear regression; Blood loss; Rat;
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