Literature DB >> 24293896

Analysis of Trauma Outcome Using the TRISS Method at a Tertiary Care Centre in Pune.

Vikram U Deshmukh1, Mrunal N Ketkar, Erach K Bharucha.   

Abstract

Out of the various systems used to assess the outcome of polytrauma patients, trauma and injury severity score (TRISS) is considered as the standard tool for evaluating the performance of trauma centres. The present study was carried out to evaluate the outcome of severely injured patients using the TRISS method in a developing country like India and to compare it with the major trauma outcome study (MTOS). A prospective study of 300 patients of trauma was done. Outcome assessment was done for the severely injured patients using the TRISS method. Road traffic accidents (213 cases) were the most common cause of injury. Fifty-seven (19%) cases were severely injured defined as having an injury severity score ≥16. Outcome assessment was done for these patients using the TRISS method. The predicted mortality was 15.7%, while the observed mortality was 33.3%. The mean revised trauma score was 6.63 ± 1.79 and the mean injury severity score (ISS) was 23.7 ± 8.17. Compared to the MTOS, the patients in the present study had more severe injuries with higher mortality. The present method of comparison of trauma care, i.e. TRISS which uses the MTOS coefficients, does not accurately predict survival of trauma patients in the developing countries as indicated by the present and other studies. There is a need for developing a national trauma registry to derive new coefficients for trauma scoring for the Indian subcontinent so that the quality of trauma care can be compared with that in the developed countries.

Entities:  

Keywords:  Injury; Outcome; Trauma

Year:  2012        PMID: 24293896      PMCID: PMC3537998          DOI: 10.1007/s12262-011-0404-5

Source DB:  PubMed          Journal:  Indian J Surg        ISSN: 0973-9793            Impact factor:   0.656


  10 in total

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3.  A simple mathematical modification of TRISS markedly improves calibration.

Authors:  Turner M Osler; Frederick B Rogers; Gary J Badger; Mark Healey; Dennis W Vane; Steven R Shackford
Journal:  J Trauma       Date:  2002-10

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Journal:  J Trauma       Date:  1998-05

5.  Trauma outcome analysis of a Jakarta University Hospital using the TRISS method: validation and limitation in comparison with the major trauma outcome study. Trauma and Injury Severity Score.

Authors:  P Joosse; S Soedarmo; J S Luitse; K J Ponsen
Journal:  J Trauma       Date:  2001-07

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Authors:  M Onwudike; O A Olaloye; O O Oni
Journal:  World J Surg       Date:  2001-01       Impact factor: 3.352

7.  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

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9.  Epidemiological and Trauma Injury and Severity Score (TRISS) analysis of trauma patients at a tertiary care centre in India.

Authors:  Apul Goel; Sandeep Kumar; Manpreet K Bagga
Journal:  Natl Med J India       Date:  2004 Jul-Aug       Impact factor: 0.537

10.  Measuring trauma outcomes in India: an analysis based on TRISS methodology in a Mumbai university hospital.

Authors:  V Murlidhar; Nobhojit Roy
Journal:  Injury       Date:  2004-04       Impact factor: 2.586

  10 in total
  9 in total

1.  Evaluation of Probability of Survival using APACHE II & TRISS Method in Orthopaedic Polytrauma Patients in a Tertiary Care Centre.

Authors:  Archit Agarwal; Atul Agrawal; Rajesh Maheshwari
Journal:  J Clin Diagn Res       Date:  2015-07-01

2.  Hospital-Based Case Series Analysis of Road Traffic Trauma Patients in Sri Lanka.

Authors:  M A C Lakmal; E M D N K Ekanayake; S H P Kelum; B D Gamage; J A S B Jayasundara
Journal:  Indian J Surg       Date:  2020-06-17       Impact factor: 0.656

3.  Trauma care in India and Germany.

Authors:  Hans-Joerg Oestern; Bhavuk Garg; Prakash Kotwal
Journal:  Clin Orthop Relat Res       Date:  2013-09       Impact factor: 4.176

4.  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

5.  Assessing trauma care systems in low-income and middle-income countries: a systematic review and evidence synthesis mapping the Three Delays framework to injury health system assessments.

Authors:  John Whitaker; Nollaig O'Donohoe; Max Denning; Dan Poenaru; Elena Guadagno; Andrew J M Leather; Justine I Davies
Journal:  BMJ Glob Health       Date:  2021-05

6.  Thefeasibility, appropriateness, and applicability of trauma scoring systems in low and middle-income countries: a systematic review.

Authors:  Isabelle Feldhaus; Melissa Carvalho; Ghazel Waiz; Joel Igu; Zachary Matthay; Rochelle Dicker; Catherine Juillard
Journal:  Trauma Surg Acute Care Open       Date:  2020-05-06

7.  Predicting mortality in trauma patients - A retrospective comparison of the performance of six scoring systems applied to polytrauma patients from the emergency centre of a South African central hospital.

Authors:  Maxine Milton; Andreas Engelbrecht; Mimi Geyser
Journal:  Afr J Emerg Med       Date:  2021-10-28

8.  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

9.  A Comparative Study of Injury Severity Scales as Predictors of Mortality in Trauma Patients: Which Scale Is the Best?

Authors:  Mahnaz Yadollahi; Ali Kashkooe; Reza Rezaiee; Kazem Jamali; Mohammad Hadi Niakan
Journal:  Bull Emerg Trauma       Date:  2020-01
  9 in total

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