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Published in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 1/2010

Open Access 01-12-2010 | Original research

ISS mapped from ICD-9-CM by a novel freeware versus traditional coding: a comparative study

Authors: Stefano Di Bartolomeo, Silvia Tillati, Francesca Valent, Loris Zanier, Fabio Barbone

Published in: Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine | Issue 1/2010

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Abstract

Background

Injury severity measures are based either on the Abbreviated Injury Scale (AIS) or the International Classification of diseases (ICD). The latter is more convenient because routinely collected by clinicians for administrative reasons. To exploit this advantage, a proprietary program that maps ICD-9-CM into AIS codes has been used for many years. Recently, a program called ICDPIC trauma and developed in the USA has become available free of charge for registered STATA® users. We compared the ICDPIC calculated Injury Severity Score (ISS) with the one from direct, prospective AIS coding by expert trauma registrars (dAIS).

Methods

The administrative records of the 289 major trauma cases admitted to the hospital of Udine-Italy from 1 July 2004 to 30 June 2005 and enrolled in the Italian Trauma Registry were retrieved and ICDPIC-ISS was calculated. The agreement between ICDPIC-ISS and dAIS-ISS was assessed by Cohen's Kappa and Bland-Altman charts. We then plotted the differences between the 2 scores against the ratio between the number of traumatic ICD-9-CM codes and the number of dAIS codes for each patient (DIARATIO). We also compared the absolute differences in ISS among 3 groups identified by DIARATIO. The discriminative power for survival of both scores was finally calculated by ROC curves.

Results

The scores matched in 33/272 patients (12.1%, k 0.07) and, when categorized, in 80/272 (22.4%, k 0.09). The Bland-Altman average difference was 6.36 (limits: minus 22.0 to plus 34.7). ICDPIC-ISS of 75 was particularly unreliable. The differences increased (p < 0.01) as DIARATIO increased indicating incomplete administrative coding as a cause of the differences. The area under the curve of ICDPIC-ISS was lower (0.63 vs. 0.76, p = 0.02).

Conclusions

Despite its great potential convenience, ICPIC-ISS agreed poorly with its conventionally calculated counterpart. Its discriminative power for survival was also significantly lower. Incomplete ICD-9-CM coding was a main cause of these findings. Because this quality of coding is standard in Italy and probably in other European countries, its effects on the performances of other trauma scores based on ICD administrative data deserve further research. Mapping ICD-9-CM code 862.8 to AIS of 6 is an overestimation.
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Metadata
Title
ISS mapped from ICD-9-CM by a novel freeware versus traditional coding: a comparative study
Authors
Stefano Di Bartolomeo
Silvia Tillati
Francesca Valent
Loris Zanier
Fabio Barbone
Publication date
01-12-2010
Publisher
BioMed Central
DOI
https://doi.org/10.1186/1757-7241-18-17

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