ID
24255
Descripción
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
Link
http://www.tbi-impact.org/?p=impact/calc
Palabras clave
Versiones (2)
- 28/7/17 28/7/17 -
- 25/1/18 25/1/18 -
Titular de derechos de autor
Ewout Steyerberg
Subido en
28 de julio de 2017
DOI
Para solicitar uno, por favor iniciar sesión.
Licencia
Creative Commons BY-NC 3.0
Comentarios del modelo :
Puede comentar sobre el modelo de datos aquí. A través de las burbujas de diálogo en los grupos de elementos y elementos, puede agregar comentarios específicos.
Comentarios de grupo de elementos para :
Comentarios del elemento para :
Para descargar modelos de datos, debe haber iniciado sesión. Por favor iniciar sesión o Registrate gratis.
IMPACT model for 6 month outcome after TBI
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM
Descripción
CT data
Descripción
Hypoxia
Tipo de datos
integer
Descripción
Hypotension
Tipo de datos
integer
Descripción
CT classification
Tipo de datos
integer
Descripción
Traumatic subarachnoid hemorrhage
Tipo de datos
integer
Descripción
Epidural hematoma
Tipo de datos
integer
Descripción
Sub score CT = hypoxia + hypotension + CT characteristics
Tipo de datos
integer
Descripción
Lab data
Descripción
Sum scores
Descripción
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.
Tipo de datos
integer
Descripción
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).
Tipo de datos
integer
Descripción
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).
Tipo de datos
integer
Similar models
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM