@inproceedings{c8b5351a5c134c0cb6265f67f6e87ccb,
title = "Prediction of outcome after traumatic brain injury: Comparison of disease state index and IMPACT calculator",
abstract = "Traumatic brain injury (TBI) is a major cause of death and disability, especially in young adults. A reliable prediction of outcome after TBI is of great importance in clinical practice and research. We aimed to compare performance of the well-established IMPACT calculator and an alternative method, Disease State Index (DSI), in the prediction of six-month outcome after TBI. Performance of the models was evaluated using 2036 patients with moderate or severe TBI from the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) database. Prediction performance of both models was similar. The models with more variables provided better performance than the simpler models. This study showed that the DSI is a valid tool with efficient visualizations that can help clinicians with their decision making process in clinical practice.",
keywords = "Decision support, Glasgow outcome scale, IMPACT, Prediction, Prognosis, Traumatic brain injury",
author = "Hilkka Liedes and Jussi Mattila and Hester Lingsma and Jyrki L{\"o}tj{\"o}nen and David Menon and Olli Tenovuo and {Van Gils}, Mark",
note = "Publisher Copyright: {\textcopyright} 2016 The authors and IOS Press. All rights reserved.; 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health, pHealth 2016 ; Conference date: 29-05-2016 Through 31-05-2016",
year = "2016",
doi = "10.3233/978-1-61499-653-8-175",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "175--180",
editor = "Nicos Maglaveras and Electra Gizeli",
booktitle = "pHealth 2016 - Proceedings of the 13th International Conference on Wearable Micro and Nano Technologies for Personalised Health",
address = "Netherlands",
}