Open AccessA survival prediction logistic regression models for blunt trauma victims in Japan
Author(s) -
Suzuki Takaaki,
Kimura Akio,
Sasaki Ryo,
Uemura Tatsuki
Publication year - 2017
Publication title -
acute medicine and surgery
Language(s) - English
Resource type - Journals
ISSN - 2052-8817
DOI - 10.1002/ams2.228
Subject(s) - logistic regression , blunt , revised trauma score , blunt trauma , statistics , regression analysis , injury severity score , regression , medicine , econometrics , medical emergency , mathematics , poison control , injury prevention , surgery
Aim This research aimed to propose a logistic regression model for Japanese blunt trauma victims. Methods We tested whether the logistic regression model previously created from data registered in the Japan Trauma Data Bank between 2005 and 2008 is still valid for the data from the same data bank between 2009 and 2013. Additionally, we analyzed whether the model would be highly accurate even when its coefficients were rounded off to two decimal places. Results The model was proved to be highly accurate (94.56%) in the recent data (2009–2013). We also showed that the model remains valid without respiratory rate data and the simplified model would maintain high accuracy. Conclusion We propose the equation of survival prediction of blunt trauma victims in Japan to be Ps = 1/(1+e −b ), where b = −0.76 + 1.03 × Revised Trauma Score − 0.07 × Injury Severity Score − 0.04 × age.