Literature DB >> 8847428

Epidemiologic aspects and results of applying the TRISS methodology in a Spanish trauma intensive care unit (TICU).

J R Suárez-Alvarez1, J Miquel, F J Del Río, P Ortega.   

Abstract

OBJECTIVE: Analysis of epidemiologic aspects in a trauma intensive care unit (TICU) and assessment of predicted outcomes.
DESIGN: Prospective study. Samples collected over a 2-year period.
SETTING: A Spanish TICU at a tertiary care centre. PATIENTS: A group of 404 trauma patients.
INTERVENTIONS: TRISS methodology was applied. MAIN
RESULTS: Mean age was 35.8 +/- 17 years. Mortality was 19.6% over a median ISS = 17. Blunt trauma was more frequent than penetrating trauma (90.1% versus 9.9%). Car accident was the major aetiological factor (32.4%) and the highest mortality was among struck pedestrians (26.4%). The cranial region showed the highest incidence of lesion (57.9%) and the neurological complications on stage were the commonest reported on the discharge forms (49.7%). Mechanical ventilatory support (MVS) was applied in 53.2% of patients, with a relative mortality of 35.8%. Survivors differed significantly from nonsurvivors in terms of age, Glasgow Coma Scale rating, RTS, ISS, TRISS, stage and number of complications reported. The risk factors found to be associated with mortality were injury to cranial and abdominal/pelvic regions and age over 65. The TRISS total accuracy was 0.88 (sensitivity = 0.67; specificity = 0.93; area under the ROC curve = 0.85 +/- 0.03). Forward stepwise logistic regression analysis selected age, ISS and RTS as the best predictors of survival. When our TRISS results were compared with those anticipated on the basis the MTOS, an injury severity mismatch appeared (z = 0.02; M = 0.78).
CONCLUSIONS: We found a 19.6% mortality in the TICU. Cranial and abdominal/pelvic injury and age over 65 were the main risk factors on admittance. Clinically, we finally agreed with the majority of TRISS outcome predictions. However, we could not statistically validate the apparent clinical goodness of the TRISS methodology.

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Mesh:

Year:  1995        PMID: 8847428     DOI: 10.1007/bf01704740

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN: 0342-4642            Impact factor:   17.440


  28 in total

Review 1.  Predicting outcome after ICU admission. The art and science of assessing risk.

Authors:  D P Schuster
Journal:  Chest       Date:  1992-12       Impact factor: 9.410

2.  Prediction tree for severely head-injured patients.

Authors:  S C Choi; J P Muizelaar; T Y Barnes; A Marmarou; D M Brooks; H F Young
Journal:  J Neurosurg       Date:  1991-08       Impact factor: 5.115

3.  Results of a multi-institutional outcome assessment: results of a structured peer review of TRISS-designated unexpected outcomes.

Authors:  R Karmy-Jones; W S Copes; H R Champion; J Weigelt; S Shackford; M Lawnick; G S Rozycki; P Hollingsworth-Fridlund; J Klein
Journal:  J Trauma       Date:  1992-02

4.  Identification of low-risk monitor admissions to medical-surgical ICUs.

Authors:  D P Wagner; W A Knaus; E A Draper
Journal:  Chest       Date:  1987-09       Impact factor: 9.410

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

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Journal:  J Trauma       Date:  1987-04

6.  Determinants of head injury mortality: importance of the low risk patient.

Authors:  M R Klauber; L F Marshall; T G Luerssen; R Frankowski; K Tabaddor; H M Eisenberg
Journal:  Neurosurgery       Date:  1989-01       Impact factor: 4.654

7.  TRISS unexpected survivors--a statistical phenomenon or a clinical reality?

Authors:  A R Gillott; W S Copes; E Langan; M Najarian; J Wiseman; W J Sacco
Journal:  J Trauma       Date:  1992-11

8.  Invalidation of the APACHE II scoring system for patients with acute trauma.

Authors:  O J McAnena; F A Moore; E E Moore; K L Mattox; J A Marx; P Pepe
Journal:  J Trauma       Date:  1992-10

9.  Epidemiology of trauma deaths.

Authors:  C C Baker; L Oppenheimer; B Stephens; F R Lewis; D D Trunkey
Journal:  Am J Surg       Date:  1980-07       Impact factor: 2.565

10.  Use of APACHE II severity of disease classification to identify intensive-care-unit patients who would not benefit from total parenteral nutrition.

Authors:  R W Chang; S Jacobs; B Lee
Journal:  Lancet       Date:  1986-06-28       Impact factor: 79.321

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  3 in total

1.  Evaluation of trauma care: validation of the TRISS method in an Italian ICU.

Authors:  U Corbanese; C Possamai; L Casagrande; P Bordino
Journal:  Intensive Care Med       Date:  1996-09       Impact factor: 17.440

2.  A novel fuzzy-logic inference system for predicting trauma-related mortality: emphasis on the impact of response to resuscitation.

Authors:  Yusuf Alper Kilic; Ali Konan; Kaya Yorganci; Iskender Sayek
Journal:  Eur J Trauma Emerg Surg       Date:  2010-03-17       Impact factor: 3.693

Review 3.  Systematic review of predictive performance of injury severity scoring tools.

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2012-09-10       Impact factor: 2.953

  3 in total

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