title: A survival prediction model of hemorrhagic shock in rats using a logistic regression equation.
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%.
authors: Graduate Program in Biomedical Engineering, Yonsei University, Seoul, Korea. picf@yuhs.ac
authors: Tak Hyung
authors: TH
authors: Lee
authors: Ju Hyung
authors: JH
authors: Lee
authors: Sang Won
authors: SW
authors: Chung
authors: Hyung Wook
authors: HW
authors: Noh
authors: Young Woo
authors: YW
authors: Shim
authors: Deok Won
authors: DW
authors: Kim
mesh_terms: D000818:Animals; D001698:Biomedical Engineering; D004195:Disease Models, Animal; D006801:Humans; D016015:Logistic Models; D008297:Male; D008954:Models, Biological; D008991:Monitoring, Physiologic; D011379:Prognosis; D051381:Rats; D017207:Rats, Sprague-Dawley; D012771:Shock, Hemorrhagic / Q000175:diagnosis* / Q000503:physiopathology