@article{ref1,
title="A trauma mortality prediction model based on the ICD-10-CM Lexicon: TMPM-ICD10",
journal="Journal of trauma and acute care surgery",
year="2019",
author="Osler, Turner and Glance, Laurent G. and Cook, Alan and Buzas, Jeffrey S. and Hosmer, David W.",
volume="86",
number="5",
pages="891-895",
abstract="BACKGROUND: Outcome prediction models allow risk adjustment required for trauma research and the evaluation of outcomes. The advent of ICD-10-CM has rendered risk adjustment based on ICD-9-CM codes moot, but as yet no risk adjustment model based on ICD-10-CM codes has been described. <br><br>METHODS: The National Trauma Data Bank provided data from 773,388 injured patients who presented to one of 747 trauma centers in 2016 with traumatic injuries ICD-10-CM codes and ISS. We constructed an outcome prediction model using only ICD-10-CM acute injury codes and compared its performance to that of the ISS. <br><br>RESULTS: Compared to ISS, the TMPM-ICD-10 discriminated survivors from non-survivors better, [ROC TMPM-ICD-10 = 0.861 (0.860 - 0.872), ROC ISS = 0.830 (0.823 - 0.836)], was better calibrated [HL TMPM-ICD-10 = 49.01, HL ISS = 788.79] and had a lower Akaike information criteria (AIC TMPM-ICD10 = 30579.49; AIC ISS = 31802.18). <br><br>CONCLUSIONS: Because TMPM-ICD10 provides better discrimination and calibration than the ISS and can be computed without recourse to AIS coding the TMPM-ICD10 should replace the ISS as the standard measure of overall injury severity for data coded in the ICD-10-CM lexicon. LEVEL OF EVIDENCE: Level II.<p /> <p>Language: en</p>",
language="en",
issn="2163-0755",
doi="10.1097/TA.0000000000002194",
url="http://dx.doi.org/10.1097/TA.0000000000002194"
}