Literature DB >> 10697087

Validation of the International Classification of Diseases 10th Edition-based Injury Severity Score (ICISS).

Y Kim1, K Y Jung, C Y Kim, Y I Kim, Y Shin.   

Abstract

OBJECTIVE: To compare the predictive power of International Classification of Diseases 10th Edition (ICD-10)-based International Classification of Diseases 9th Edition-based Injury Severity Score (ICISS) with Trauma and Injury Severity Score (TRISS) and ICD-9CM-based ICISS in the injury severity measure.
METHODS: ICD-10 version of survival risk ratios was derived from 47,750 trauma patients from 35 emergency centers for 1 year. The predictive power of TRISS, the ICD-9CM-based ICISS and ICD-10-based ICISS were compared in a group of 367 severely injured patients admitted to two university hospitals. The predictive power was compared by using the measures of discrimination (disparity, sensitivity, specificity, misclassification rates, and receiver operating characteristic curve analysis) and calibration (Hosmer-Lemeshow goodness-of-fit statistics), all calculated by logistic regression procedure.
RESULTS: ICD-10-based ICISS showed a lower performance than TRISS and ICD-9CM-based ICISS. When age and Revised Trauma Score were incorporated into the survival probability model, however, ICD-10-based ICISS full model showed a similar predictive power compared with TRISS and ICD-9CM-based ICISS full model. ICD-10-based ICISS had some disadvantages in predicting outcomes among patients with intracranial injuries. However, such weakness was largely compensated by incorporating age and Revised Trauma Score in the model.
CONCLUSION: The ICISS methodology can be extended to ICD-10 horizon as a standard injury severity measure in the place of TRISS, especially when age and Revised Trauma Score were incorporated in the model. For patients with intracranial injuries, the predictive power of ICD-10-based ICISS was relatively low because of differences in the classifying system between ICD-10 and ICD-9CM.

Entities:  

Mesh:

Year:  2000        PMID: 10697087     DOI: 10.1097/00005373-200002000-00014

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


  7 in total

1.  Diagnosis based injury severity scaling: investigation of a method using Australian and New Zealand hospitalisations.

Authors:  S Stephenson; G Henley; J E Harrison; J D Langley
Journal:  Inj Prev       Date:  2004-12       Impact factor: 2.399

2.  Severity of injury measures and descriptive epidemiology.

Authors:  C Cryer
Journal:  Inj Prev       Date:  2006-04       Impact factor: 2.399

3.  Developing valid indicators of injury incidence for "all injury".

Authors:  C Cryer; J D Langley
Journal:  Inj Prev       Date:  2006-06       Impact factor: 2.399

4.  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

5.  The role of trauma scoring in developing trauma clinical governance in the Defence Medical Services.

Authors:  R J Russell; T J Hodgetts; J McLeod; K Starkey; P Mahoney; K Harrison; E Bell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-01-27       Impact factor: 6.237

Review 6.  A review of injury epidemiology in the UK and Europe: some methodological considerations in constructing rates.

Authors:  Roxana Alexandrescu; Sarah J O'Brien; Fiona E Lecky
Journal:  BMC Public Health       Date:  2009-07-10       Impact factor: 3.295

Review 7.  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

  7 in total

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