Literature DB >> 22354490

Modification of the Trauma and Injury Severity Score (TRISS) method provides better survival prediction in Asian blunt trauma victims.

Akio Kimura1, Witaya Chadbunchachai, Shinji Nakahara.   

Abstract

BACKGROUND: The objective of the present study was to identify logistic regression models with better survival prediction than the Trauma and Injury Severity Score (TRISS) method in assessing blunt trauma (BT) victims in Japan and Thailand. An additional aim was to demonstrate the feasibility of probability of survival (Ps) estimation without respiratory rate (RR) on admission, which is often missing or unreliable in Asian countries.
METHODS: We used BT patient data (n = 15,524) registered in the Japan Trauma Data Bank (JTDB, 2005-2008). We also extracted data on BT patients injured in the Khon Kaen District between January 2005 and December 2008 (n = 6,411) from the Khon Kaen Hospital Trauma Registry. For logistic regression analyses, we chose the Injury Severity Score (ISS), age year (AY), Glasgow Coma Scale (GCS) score, systolic blood pressure (SBP), RR, and their coded values (c) as explanatory variables, as well as the Revised Trauma Score (RTS). We estimated parameters by the method of maximum likelihood estimation, and utilized Akaike's Information Criterion (AIC), the area under the receiver operating characteristic curve (AUROCC), and accuracy for model comparison. A model having the lower AIC is considered to be the better model.
RESULTS: The AIC of the model using AY was lower than that of the model using the coded value for AY (cAY) (used by the TRISS method). The model using ISS, AY and cGCS, cSBP, and cRR instead of the RTS demonstrated the lowest AIC in both data groups. The same trend could be observed in the AUROCCs and the accuracies. In the Khon Kaen data, we found no additional reduction of the AIC in the model using the cRR variable compared to the model without cRR.
CONCLUSIONS: For better prediction of Ps, the actual number of the AY should be used as an explanatory variable instead of the coded value (used by the TRISS method). The logistic regression model using the ISS, AY, and coded values of SBP, GCS, and RR estimates the best prediction. Information about RR seems to be unimportant for survival prediction in BT victims in Asian countries.

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Mesh:

Year:  2012        PMID: 22354490     DOI: 10.1007/s00268-012-1498-z

Source DB:  PubMed          Journal:  World J Surg        ISSN: 0364-2313            Impact factor:   3.352


  8 in total

1.  Trauma and Injury Severity Score (TRISS) coefficients 2009 revision.

Authors:  Philip J Schluter; Avery Nathens; Melanie L Neal; Sandra Goble; Cate M Cameron; Tamzyn M Davey; Roderick J McClure
Journal:  J Trauma       Date:  2010-04

2.  The injury severity score: a method for describing patients with multiple injuries and evaluating emergency care.

Authors:  S P Baker; B O'Neill; W Haddon; W B Long
Journal:  J Trauma       Date:  1974-03

3.  Injury severity scoring again.

Authors:  H R Champion; W J Sacco; W S Copes
Journal:  J Trauma       Date:  1995-01

4.  A new approach to outcome prediction in trauma: A comparison with the TRISS model.

Authors:  Omar Bouamra; Alan Wrotchford; Sally Hollis; Andy Vail; Maralyn Woodford; Fiona Lecky
Journal:  J Trauma       Date:  2006-09

5.  Simplified alternative to the TRISS method for resource-constrained settings.

Authors:  Shinji Nakahara; Masao Ichikawa; Akio Kimura
Journal:  World J Surg       Date:  2011-03       Impact factor: 3.352

6.  M-study from an urban trauma center in Tokyo.

Authors:  Takashi Fujita; Naoto Morimura; Yasuyuki Uchida; Ichiro Kaneko; Hiroto Ikeda; Tetsuya Sakamoto
Journal:  J Trauma       Date:  2010-10

7.  Evaluating trauma care: the TRISS method. Trauma Score and the Injury Severity Score.

Authors:  C R Boyd; M A Tolson; W S Copes
Journal:  J Trauma       Date:  1987-04

8.  A revision of the Trauma Score.

Authors:  H R Champion; W J Sacco; W S Copes; D S Gann; T A Gennarelli; M E Flanagan
Journal:  J Trauma       Date:  1989-05
  8 in total
  15 in total

Review 1.  International technical transfer of training systems and skills in emergency medicine and trauma management: experiences of the National Center for Global Health and Medicine, Japan.

Authors:  Akio Kimura
Journal:  Glob Health Med       Date:  2020-02-29

2.  Scoring system for traumatic liver injury (SSTLI) in polytraumatic patients: a predictor of mortality.

Authors:  H H Kim; J H Kim; C-Y Park; H M Cho
Journal:  Eur J Trauma Emerg Surg       Date:  2014-10-21       Impact factor: 3.693

3.  Indians fit the Asian trauma model.

Authors:  Monty U Khajanchi; Vineet Kumar; Martin Gerdin; Nobhojit Roy
Journal:  World J Surg       Date:  2013-03       Impact factor: 3.352

4.  Inter-rater reliability of the Abbreviated Injury Scale scores in patients with severe head injury shows good inter-rater agreement but variability between countries. An inter-country comparison study.

Authors:  Amy C Gunning; Menco J S Niemeyer; Mark van Heijl; Karlijn J P van Wessem; Ronald V Maier; Zsolt J Balogh; Luke P H Leenen
Journal:  Eur J Trauma Emerg Surg       Date:  2022-08-16       Impact factor: 2.374

5.  RISC II is superior to TRISS in predicting 30-day mortality in blunt major trauma patients in Hong Kong.

Authors:  Kei Ching Kevin Hung; Chun Yu Lai; Janice Hiu Hung Yeung; Marc Maegele; Po Shan Lily Chan; Ming Leung; Hay Tai Wong; John Kit Shing Wong; Ling Yan Leung; Marc Chong; Chi Hung Cheng; Nai Kwong Cheung; Colin Alexander Graham
Journal:  Eur J Trauma Emerg Surg       Date:  2021-04-26       Impact factor: 3.693

6.  Predicting early mortality in adult trauma patients admitted to three public university hospitals in urban India: a prospective multicentre cohort study.

Authors:  Martin Gerdin; Nobhojit Roy; Monty Khajanchi; Vineet Kumar; Satish Dharap; Li Felländer-Tsai; Max Petzold; Sanjeev Bhoi; Makhan Lal Saha; Johan von Schreeb
Journal:  PLoS One       Date:  2014-09-02       Impact factor: 3.240

7.  Validation of a novel prediction model for early mortality in adult trauma patients in three public university hospitals in urban India.

Authors:  Martin Gerdin; Nobhojit Roy; Monty Khajanchi; Vineet Kumar; Li Felländer-Tsai; Max Petzold; Göran Tomson; Johan von Schreeb
Journal:  BMC Emerg Med       Date:  2016-02-22

8.  A survival prediction logistic regression models for blunt trauma victims in Japan.

Authors:  Takaaki Suzuki; Akio Kimura; Ryo Sasaki; Tatsuki Uemura
Journal:  Acute Med Surg       Date:  2016-07-19

9.  Retrospective cohort analysis of chest injury characteristics and concurrent injuries in patients admitted to hospital in the Wenchuan and Lushan earthquakes in Sichuan, China.

Authors:  Xi Zheng; Yang Hu; Yong Yuan; Yong-Fan Zhao
Journal:  PLoS One       Date:  2014-05-09       Impact factor: 3.240

10.  The Applicability of Trauma and Injury Severity Score for a Blunt Trauma Population in Korea and a Proposal of New Models Using Score Predictors.

Authors:  Kyoungwon Jung; Yo Huh; John Cook-Jong Lee; Younghwan Kim; Jonghwan Moon; Seok Hwa Youn; Jiyoung Kim; Juryang Kim; Hyoju Kim
Journal:  Yonsei Med J       Date:  2016-05       Impact factor: 2.759

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