Literature DB >> 19693630

In search of benchmarking for mortality following multiple trauma: a Swiss trauma center experience.

Ida Füglistaler-Montali1, Corinna Attenberger, Philipp Füglistaler, Augustinus L Jacob, Felix Amsler, Thomas Gross.   

Abstract

BACKGROUND: The manifestations associated with non-survival after multiple trauma may vary importantly between countries and institutions. The aim of the present study was to assess the quality of performance by comparing actual mortality rates to the literature.
METHODS: The study involved evaluation of a prospective consecutive multiple trauma cohort (injury severity score, ISS > 16) primarily admitted to a university hospital. Univariate and multivariate testing of routine parameters and scores, such as the Trauma and Injury Severity Score (TRISS), was used to determine their predictive powers for mortality.
RESULTS: The 30-day mortality of 22.8% (n = 54) exactly matched predicted TRISS versions of Champion or the Major Trauma Outcome Study for our 237 multiple trauma patients (42.8 +/- 20.9 years; ISS 29.5 +/- 11.5). Univariate analysis revealed significant differences between survivors and non-survivors when compared for age, ISS, Glasgow coma scale (GCS), pulse oximeter saturation (SapO2), hemoglobin, prothrombin time, and lactate. In multivariate analysis, age, ISS, and GCS (P < 0.001 each) functioned as major independent prognostic parameters of both 24 h and 30-day mortality. Various TRISS versions hardly differed in their precision (area under the curve [AUC] 0.83-0.84), but they did differ considerably in their level of requirement, with the TRISS using newer National Trauma Data Bank coefficients (NTDB-TRISS) offering the highest target benchmark (predicted mortality 13%, Z value -5.7) in the prediction of 30-day mortality.
CONCLUSIONS: Because of the current lack of a single, internationally accepted scoring system for the prediction of mortality after multiple trauma, the comparison of outcomes between medical centers remains unreliable. To achieve effective quality control, a practical benchmarking model, such as the TRISS-NTDB, should be used worldwide.

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Year:  2009        PMID: 19693630     DOI: 10.1007/s00268-009-0193-1

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


  79 in total

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2.  The end of the Injury Severity Score (ISS) and the Trauma and Injury Severity Score (TRISS): ICISS, an International Classification of Diseases, ninth revision-based prediction tool, outperforms both ISS and TRISS as predictors of trauma patient survival, hospital charges, and hospital length of stay.

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Authors:  Omar Bouamra; Alan Wrotchford; Sally Hollis; Andy Vail; Maralyn Woodford; Fiona Lecky
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5.  Analysis of trauma outcome at a university hospital in Zahedan, Iran using the TRISS method.

Authors:  M Chardoli; V Rahimi-Movaghar
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6.  Effect measure modification and confounding of severe head injury mortality by age and multiple organ injury severity.

Authors:  Shai Linn; Leon Levi; Peter D Grunau; Itzhak Zaidise; Salman Zarka
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7.  Two cohorts of severely injured trauma patients, nearly two decades apart: unchanged mortality but improved quality of life despite higher age.

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8.  A comparison of prehospital and hospital data in trauma patients.

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9.  Hypotension begins at 110 mm Hg: redefining "hypotension" with data.

Authors:  Brian J Eastridge; Jose Salinas; John G McManus; Lorne Blackburn; Eileen M Bugler; William H Cooke; Victor A Convertino; Victor A Concertino; Charles E Wade; John B Holcomb
Journal:  J Trauma       Date:  2007-08

10.  Serum lactate is not predicted by anion gap or base excess after trauma resuscitation.

Authors:  A Mikulaschek; S M Henry; R Donovan; T M Scalea
Journal:  J Trauma       Date:  1996-02
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  4 in total

1.  [Long-term outcome following multiple trauma in working age : A prospective study in a Swiss trauma center].

Authors:  T Gross; F Amsler
Journal:  Unfallchirurg       Date:  2016-11       Impact factor: 1.000

2.  Trauma center need: the American College of Surgeons' definition in contrast to Swiss highly specialized medicine regulations-a Swiss trauma center perspective.

Authors:  Thomas Gross; Philipp Braken; Felix Amsler
Journal:  Eur J Trauma Emerg Surg       Date:  2018-10-13       Impact factor: 3.693

3.  Impact of ATLS training on preventable and potentially preventable deaths.

Authors:  Salvador Navarro; Sandra Montmany; Pere Rebasa; Carme Colilles; Anna Pallisera
Journal:  World J Surg       Date:  2014-09       Impact factor: 3.352

4.  Risk factors for mortality of severe trauma based on 3 years' data at a single Korean institution.

Authors:  Joohyun Sim; Jaeheon Lee; John Cook-Jong Lee; Yunjung Heo; Heejung Wang; Kyoungwon Jung
Journal:  Ann Surg Treat Res       Date:  2015-09-25       Impact factor: 1.859

  4 in total

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