Literature DB >> 22695443

Should the IDC-9 Trauma Mortality Prediction Model become the new paradigm for benchmarking trauma outcomes?

Adil H Haider1, Cassandra V Villegas, Taimur Saleem, David T Efron, Kent A Stevens, Tolulope A Oyetunji, Edward E Cornwell, Stephen Bowman, Sara Haack, Susan P Baker, Eric B Schneider.   

Abstract

BACKGROUND: Optimum quantification of injury severity remains an imprecise science with a need for improvement. The accuracy of the criterion standard Injury Severity Score (ISS) worsens as a patient's injury severity increases, especially among patients with penetrating trauma. The objective of this study was to comprehensively compare the mortality prediction ability of three anatomic injury severity indices: the ISS, the New ISS (NISS), and the DRG International Classification of Diseases-9th Rev.-Trauma Mortality Prediction Model (TMPM-ICD-9), a recently developed contemporary injury assessment model.
METHODS: Retrospective analysis of patients in the National Trauma Data Bank from 2007 to 2008. The TMPM-ICD-9 values were computed and compared with the ISS and NISS for each patient using in-hospital mortality after trauma as the outcome measure. Discrimination and calibration were compared using the area under the receiver operator characteristic curve. Subgroup analysis was performed to compare each score across varying ranges of injury severity and across different types of injury.
RESULTS: A total of 533,898 patients were identified with a crude mortality rate of 4.7%. The ISS and NISS performed equally in the groups with minor (ISS, 1-8) and moderate (ISS, 9-15) injuries, regardless of the injury type. However, in the populations with severe (ISS, 16-24) and very severe (ISS, ≥ 25) injuries for all injury types, the NISS predicted mortality better than the ISS did. The TMPM-ICD-9 outperformed both the NISS and ISS almost consistently.
CONCLUSION: The NISS and TMPM-ICD-9 are both superior predictors of mortality as compared with the ISS. The immediate adoption of NISS for evaluating trauma outcomes using trauma registry data is recommended. The TMPM-ICD-9 may be an even better measure of human injury, and its use in administrative or nonregistry data is suggested. Further research on its attributes is recommended because it has the potential to become the basis for benchmarking trauma outcomes. LEVEL OF EVIDENCE: Prognostic study, level III.
Copyright © 2012 by Lippincott Williams & Wilkins.

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Year:  2012        PMID: 22695443     DOI: 10.1097/TA.0b013e318256a010

Source DB:  PubMed          Journal:  J Trauma Acute Care Surg        ISSN: 2163-0755            Impact factor:   3.313


  4 in total

1.  Benchmarking of trauma care worldwide: the potential value of an International Trauma Data Bank (ITDB).

Authors:  Adil H Haider; Zain G Hashmi; Sonia Gupta; Syed Nabeel Zafar; Jean-Stephane David; David T Efron; Kent A Stevens; Hasnain Zafar; Eric B Schneider; Eric Voiglio; Raul Coimbra; Elliott R Haut
Journal:  World J Surg       Date:  2014-08       Impact factor: 3.352

2.  Defining polytrauma by abbreviated injury scale ≥ 3 for a least two body regions is insufficient in terms of short-term outcome: A cross-sectional study at a level I trauma center.

Authors:  Ching-Hua Hsieh; Yi-Chun Chen; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Peng-Chen Chien
Journal:  Biomed J       Date:  2018-11-06       Impact factor: 4.910

3.  IMP-ICDX: an injury mortality prediction based on ICD-10-CM codes.

Authors:  Muding Wang; Wusi Qiu; Yunji Zeng; Wenhui Fan; Xiao Lian; Yi Shen
Journal:  World J Emerg Surg       Date:  2019-10-11       Impact factor: 5.469

4.  In-hospital mortality among patients injured in motor vehicle crashes in a Saudi Arabian hospital relative to large U.S. trauma centers.

Authors:  Suliman Alghnam; Mari Palta; Azita Hamedani; Patrick L Remington; Mohamed Alkelya; Khalid Albedah; Maureen S Durkin
Journal:  Inj Epidemiol       Date:  2014-08-27
  4 in total

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