Literature DB >> 18090025

Base deficit-based predictive modeling of outcome in trauma patients admitted to intensive care units in Dutch trauma centers.

Frank Kroezen1, Taco S Bijlsma, Mike S L Liem, J Dik Meeuwis, Luke P H Leenen.   

Abstract

BACKGROUND: Worldwide, the base deficit is available as an objective indicator of acid base status. We used the base deficit as a measure of physiologic derangement in a Trauma and Injury Severity Score (TRISS)-like model as a predictor for outcome in trauma patients.
METHODS: We prospectively recorded data of 349 consecutive trauma patients admitted to the intensive care unit and calculated Revised Trauma Score, Injury Severity Score and Abbreviated Injury Scale, and TRISS and correlated them with the simultaneously determined base deficit value. The delta base deficit is introduced, which is the absolute difference of the base deficit from its normal range (-2 to 2). A statistical model analogous to the TRISS model was designed in which the physiologic disturbance reflected by the Revised Trauma Score was replaced by the delta base deficit [Base Excess Injury Severity Scale (BISS) model]. Calculating the area under the curve (AUC) of the respective receiver operating characteristic curve compared these two models. Finally, the BISS model was validated in a patient group from another tertiary referral hospital in which similar data were recorded prospectively.
RESULTS: We demonstrated a significant correlation between the delta base deficit and the calculated trauma scoring systems. Moreover, the delta base deficit is significantly correlated with mortality. The BISS performed better than the TRISS did when evaluated by the AUC of the receiver operating characteristic curves (AUC 0.806 vs. 0.803, respectively). Validation in an independent prospectively compiled dataset from another referral center showed comparable and even better results (AUC 0.891 vs. 0.885, respectively).
CONCLUSIONS: The performance of our proposed BISS model was superior to that of the TRISS model in the populations under investigation. Nevertheless, given the ease of assessment and the objective value of the base deficit, it may be considered as a good method to predict outcome and evaluate care of trauma patients. Whether this can be translated to trauma patients in general needs further investigation.

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Year:  2007        PMID: 18090025     DOI: 10.1097/TA.0b013e318151ff22

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  13 in total

1.  Comparisons of the Outcome Prediction Performance of Injury Severity Scoring Tools Using the Abbreviated Injury Scale 90 Update 98 (AIS 98) and 2005 Update 2008 (AIS 2008).

Authors:  Hideo Tohira; Ian Jacobs; David Mountain; Nick Gibson; Allen Yeo
Journal:  Ann Adv Automot Med       Date:  2011

2.  Admission blood glucose is an independent predictive factor for hospital mortality in polytraumatised patients.

Authors:  Janett Kreutziger; Volker Wenzel; Andrea Kurz; Mihai Adrian Constantinescu
Journal:  Intensive Care Med       Date:  2009-02-24       Impact factor: 17.440

3.  Base excess determined within one hour of admission predicts mortality in patients with severe pelvic fractures and severe hemorrhagic shock.

Authors:  Rahel Abt; Thomas Lustenberger; John F Stover; Emanuel Benninger; Philipp M Lenzlinger; Reto Stocker; Marius Keel
Journal:  Eur J Trauma Emerg Surg       Date:  2009-06-19       Impact factor: 3.693

4.  Development and validation of the revised injury severity classification score for severely injured patients.

Authors:  Rolf Lefering
Journal:  Eur J Trauma Emerg Surg       Date:  2009-09-18       Impact factor: 3.693

5.  Validation of a base deficit-based trauma prediction model and comparison with TRISS and ASCOT.

Authors:  S W Lam; H F Lingsma; Ed F van Beeck; L P H Leenen
Journal:  Eur J Trauma Emerg Surg       Date:  2015-11-10       Impact factor: 3.693

6.  Influence of routine computed tomography on predicted survival from blunt thoracoabdominal trauma.

Authors:  R van Vugt; J Deunk; M Brink; H M Dekker; D R Kool; A B van Vugt; M J Edwards
Journal:  Eur J Trauma Emerg Surg       Date:  2010-07-29       Impact factor: 3.693

7.  The sequential trauma score - a new instrument for the sequential mortality prediction in major trauma.

Authors:  S Huber-Wagner; J Stegmaier; P Mathonia; T Paffrath; E Euler; W Mutschler; K-G Kanz; R Lefering
Journal:  Eur J Med Res       Date:  2010-05-18       Impact factor: 2.175

8.  Derivation and validation of different machine-learning models in mortality prediction of trauma in motorcycle riders: a cross-sectional retrospective study in southern Taiwan.

Authors:  Pao-Jen Kuo; Shao-Chun Wu; Peng-Chen Chien; Cheng-Shyuan Rau; Yi-Chun Chen; Hsiao-Yun Hsieh; Ching-Hua Hsieh
Journal:  BMJ Open       Date:  2018-01-05       Impact factor: 2.692

Review 9.  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

10.  The Utstein template for uniform reporting of data following major trauma: a joint revision by SCANTEM, TARN, DGU-TR and RITG.

Authors:  Kjetil G Ringdal; Timothy J Coats; Rolf Lefering; Stefano Di Bartolomeo; Petter Andreas Steen; Olav Røise; Lauri Handolin; Hans Morten Lossius
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2008-08-28       Impact factor: 2.953

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