Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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A survival prediction model of hemorrhagic shock in rats using a logistic regression equation

출혈성 쇼크를 일으킨 흰쥐에서 로지스틱 회귀분석을 이용한 생존율 예측

  • 이탁형 (연세대학교 생체공학협동과정) ;
  • 이주형 (연세대학교 생체공학협동과정) ;
  • 정상원 (관동대학교 의과대학 응급의학과) ;
  • 김덕원 (연세대학교 의과대학 의학공학교실)
  • Published : 2009.05.07
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Abstract

Hemorrhagic shock is a common cause of death in emergency rooms. Since the symptoms of hemorrhagic shock occur after shock has considerably progressed, it is difficult to diagnose shock early. The purpose of this study was to improve early diagnosis of hemorrhagic shock using a survival prediction model in rats. We measured ECG, blood pressure, respiration and temperature in 45 Sprague-Dawley rats, and then obtained a logistic regression equation predicting survival rates. Area under the ROC curves was 0.99. The Hosmer-Lemeshow goodness-of-fit chi-square was 0.86(degree of freedom=8, p=0.999). Applying the determined optimal boundary value of 0.25, the accuracy of survival prediction was 94.7%

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