A survival prediction logistic regression models for blunt trauma victims in Japan. Issue 1 (19th July 2016)

• Record Type: Journal Article
• Authors: Suzuki, Takaaki; Kimura, Akio; Sasaki, Ryo; Uemura, Tatsuki
• Is Part Of: Acute medicine & surgery. Volume 4:Issue 1(2017)
• Page Start: 52
• Page End: 56
• Publication Date: 2016-07-19
• Subjects: Japan Trauma Data Bank (JTDB) -- probability of survival (Ps) -- quality of trauma care -- survival prediction -- Trauma and Injury Severity Score (TRISS); Surgery -- Periodicals; Medical emergencies -- Periodicals; 617.005
• DOI: 10.1002/ams2.228
• Languages: English
• ISSNs: 2052-8817

Abstract

Abstract : 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.