Literature DB >> 23867260

External validation of the international mission for prognosis and analysis of clinical trials model and the role of markers of coagulation.

Rahul Raj1, Jari Siironen, Riku Kivisaari, Juha Hernesniemi, Päivi Tanskanen, Lauri Handolin, Markus B Skrifvars.   

Abstract

BACKGROUND: Markers of coagulation have shown to have important value in predicting traumatic brain injury outcome.
OBJECTIVE: To externally validate and investigate the role of markers of coagulation for outcome prediction by using the International Mission for Prognosis and Analysis of Clinical Trials (IMPACT) model while adjusting for overall injury severity.
METHODS: A retrospective chart analysis of traumatic brain injury patients admitted to Helsinki University Central Hospital between 2009 and 2010 was performed. Outcome was estimated by using the criteria of the IMPACT model. Admission international normalized ratio (INR) and platelet count were used as markers of coagulation. Overall injury severity was categorized with the injury severity score (ISS). Variables were added to the calculated IMPACT risk, generating new models. Model performance was assessed by analyzing and comparing the area under the curve (AUC) of the models.
RESULTS: For 342 included patients, 6-month mortality was 32% and unfavorable neurological outcome was 36%. Patients with a poor outcome had lower platelets and higher INR and ISS than those with good outcome (P < .001). The IMPACT model had an AUC of 0.85 for predicting mortality and 0.81 for neurological outcome. Addition of INR but not ISS or platelets to the IMPACT predicted risk improved the predictive validity for mortality ([INCREMENT]AUC 0.02, P = .034) but not neurological outcome ([INCREMENT]AUC 0.00, P = .401). In multivariate analysis, INR remained significant for mortality but not for neurological outcome when adjusting for IMPACT risk and ISS (P = .012).
CONCLUSION: The IMPACT model showed excellent performance, and INR was an independent predictor for mortality, independent of overall injury severity.

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Year:  2013        PMID: 23867260     DOI: 10.1227/01.neu.0000430326.40763.ec

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  10 in total

1.  Predicting outcome after traumatic brain injury: development of prognostic scores based on the IMPACT and the APACHE II.

Authors:  Rahul Raj; Jari Siironen; Riku Kivisaari; Juha Hernesniemi; Markus B Skrifvars
Journal:  J Neurotrauma       Date:  2014-08-12       Impact factor: 5.269

2.  Signal Information Prediction of Mortality Identifies Unique Patient Subsets after Severe Traumatic Brain Injury: A Decision-Tree Analysis Approach.

Authors:  Lei Gao; Peter Smielewski; Peng Li; Marek Czosnyka; Ari Ercole
Journal:  J Neurotrauma       Date:  2019-12-09       Impact factor: 5.269

3.  New considerations in the design of clinical trials for traumatic brain injury.

Authors:  Bob Roozenbeek; Hester F Lingsma; Andrew Ir Maas
Journal:  Clin Investig (Lond)       Date:  2012-02

4.  Using Abbreviated Injury Scale (AIS) codes to classify Computed Tomography (CT) features in the Marshall System.

Authors:  Mehdi M Lesko; Maralyn Woodford; Laura White; Sarah J O'Brien; Charmaine Childs; Fiona E Lecky
Journal:  BMC Med Res Methodol       Date:  2010-08-06       Impact factor: 4.615

5.  Standardizing data collection in severe trauma: call for linking up.

Authors:  Doortje C Engel
Journal:  Crit Care       Date:  2012-01-12       Impact factor: 9.097

6.  Performance of IMPACT, CRASH and Nijmegen models in predicting six month outcome of patients with severe or moderate TBI: an external validation study.

Authors:  Marek Majdan; Hester F Lingsma; Daan Nieboer; Walter Mauritz; Martin Rusnak; Ewout W Steyerberg
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2014-11-19       Impact factor: 2.953

7.  Traumatic brain injury patient volume and mortality in neurosurgical intensive care units: a Finnish nationwide study.

Authors:  Rahul Raj; Stepani Bendel; Matti Reinikainen; Sanna Hoppu; Teemu Luoto; Tero Ala-Kokko; Sami Tetri; Ruut Laitio; Timo Koivisto; Jaakko Rinne; Riku Kivisaari; Jari Siironen; Markus B Skrifvars
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2016-11-08       Impact factor: 2.953

8.  The Model for End-stage Liver Disease (MELD) as a predictor of short-term mortality in Staphylococcus aureus bloodstream infection: A single-centre observational study.

Authors:  Jan A Roth; Andreas F Widmer; Sarah Tschudin-Sutter; Marc Dangel; Reno Frei; Manuel Battegay; Balthasar L Hug
Journal:  PLoS One       Date:  2017-04-17       Impact factor: 3.240

9.  Advancing care for traumatic brain injury: findings from the IMPACT studies and perspectives on future research.

Authors:  Andrew I R Maas; Gordon D Murray; Bob Roozenbeek; Hester F Lingsma; Isabella Butcher; Gillian S McHugh; James Weir; Juan Lu; Ewout W Steyerberg
Journal:  Lancet Neurol       Date:  2013-10-17       Impact factor: 44.182

10.  Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores.

Authors:  Rahul Raj; Markus Skrifvars; Stepani Bendel; Tuomas Selander; Riku Kivisaari; Jari Siironen; Matti Reinikainen
Journal:  Crit Care       Date:  2014-04-03       Impact factor: 9.097

  10 in total

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