ID
24255
Descrição
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
Palavras-chave
Versões (2)
- 28/07/2017 28/07/2017 -
- 25/01/2018 25/01/2018 -
Titular dos direitos
Ewout Steyerberg
Transferido a
28 de julho de 2017
DOI
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Licença
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
Descrição
CT data
Descrição
Hypoxia
Tipo de dados
integer
Descrição
Hypotension
Tipo de dados
integer
Descrição
CT classification
Tipo de dados
integer
Descrição
Traumatic subarachnoid hemorrhage
Tipo de dados
integer
Descrição
Epidural hematoma
Tipo de dados
integer
Descrição
Sub score CT = hypoxia + hypotension + CT characteristics
Tipo de dados
integer
Descrição
Lab data
Descrição
Sum scores
Descrição
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 dados
integer
Descrição
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 dados
integer
Descrição
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 dados
integer
Similar models
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM