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84 Comparison of manually and algorithm derived injury severity scores
  1. Luisa Montoya1,
  2. Gabrielle Davie2,
  3. Doctor Bridget Kool3,
  4. Bridget Dicker4,5
  1. 1PhD Candidate, School of Population Health, University of Auckland, Auckland, New Zealand
  2. 2Associate Professor, Department of Preventive and Social Medicine, University of Otago, Dunedin, New Zealand
  3. 3Professor, School of Population Health, University of Auckland, Auckland, New Zealand
  4. 4Head of Clinical Audit and Research, St John, Auckland, New Zealand
  5. 5Adjunct Professor, Department of Paramedicine, School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand


Background Various attempts have been made to reduce the administrative burden of manually assigning Abbreviated Injury Severity (AIS) codes to derive Injury Severity Scores (ISS) in trauma registry data. The accuracy of the resulting measures remains unclear, especially in the New Zealand (NZ) context. The aim of this study was to compare ISS derived from hospital discharge International Classification of Diseases (ICD-10-AM) codes with ISS recorded in the NZ Major Trauma Registry (NZ-MTR).

Methods Individuals admitted to hospital and enrolled in the NZ-MTR between 1 December 2016 and 30 November 2018 were included. ISS were calculated using a modified ICD/AIS mapping tool (ICD-ISS). The agreement between MTR-ISS and ICD-ISS for raw scores was assessed by Bland-Altman charts and the Intraclass Correlation Coefficient (ICC). Analysis was conducted by gender, age, ethnicity, and mechanism of injury.

Results 3,154 patients fulfilled the inclusion criteria. The ICC for agreement between MTR-ISS and ICD-ISS was 0.40 (95% CI: 0.37–0.43), indicating poor agreement. The Bland-Altman plot showed a bias toward lower ISS by the ICD-ISS than the MTR-ISS (average difference was 1.79±10.02). A moderate agreement (ICC=0.50, 95%CI: 0.40–0.60) between MTR-ISS and ICD-ISS was found in the paediatric population (<15 years). Differences by mechanism of injury were observed.

Conclusion The overall agreement between MTR-ISS and ICD-ISS was poor. On average, the ICD/AIS mapping tool tended to underestimate ISS, with a few exceptions.

Learning Outcomes Further modifications are needed to current algorithms to develop higher alignment with current manual calculations.

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