ID
24255
Description
Traumatic brain injury (TBI) is a leading cause of death and disability. A reliable prediction of outcome on admission is of great clinical relevance. Using several large patient series for model development as available in the International Mission for Prognosis and Analysis of Clinical Trials in TBI (IMPACT) project, three prognostic models of increasing complexity (Core, Core + CT, Core + CT + Lab) were developed. They provide adequate discrimination between patients with good and poor 6 month outcomes after TBI, especially if CT and laboratory findings are considered in addition to traditional predictors. The model predictions may support clinical practice and research, including the design and analysis of randomized controlled trials. Reference: Steyerberg, E. W., Mushkudiani, N., Perel, P., Butcher, I., Lu, J., McHugh, G. S., ... & Maas, A. I. (2008). Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS medicine, 5(8), e165. http://www.tbi-impact.org/?p=impact/calc
Lien
http://www.tbi-impact.org/?p=impact/calc
Mots-clés
Versions (2)
- 28/07/2017 28/07/2017 -
- 25/01/2018 25/01/2018 -
Détendeur de droits
Ewout Steyerberg
Téléchargé le
28 juillet 2017
DOI
Pour une demande vous connecter.
Licence
Creative Commons BY-NC 3.0
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IMPACT model for 6 month outcome after TBI
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM
Description
CT data
Description
Hypoxia
Type de données
integer
Description
Hypotension
Type de données
integer
Description
CT classification
Type de données
integer
Description
Traumatic subarachnoid hemorrhage
Type de données
integer
Description
Epidural hematoma
Type de données
integer
Description
Sub score CT = hypoxia + hypotension + CT characteristics
Type de données
integer
Description
Lab data
Description
Sum scores
Description
Sum score core model = age + motor score + pupillary reactivity. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP core, mortality = -2.55 + 0.275 x sum score core. LP core, unfavorable outcome = -1.62 + 0.299 x sum score core.
Type de données
integer
Description
Sum score extended model = core + hypoxia + hypotension + CT characteristics. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP extended, mortality = -2.98 + 0.256 x (sum score core + subscore CT). LP extended, unfavorable outcome = -2.10 + 0.276 x (sum score core + subscore CT).
Type de données
integer
Description
Sum score lab model = core + hypoxia + hypotension + CT + glucose + Hb. The probability of 6 mo outcome is defined as 1 / (1+e^-LP), where LP refers to the linear predictor in a logistic regression model. LP lab, mortality = -3.42 + 0.216 x (sum score core + subscore CT + subscore lab). LP lab, unfavorable outcome = -2.82 + 0.257 x (sum score core + subscore CT + subscore lab).
Type de données
integer
Similar models
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM