ID
24255
Descrizione
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
collegamento
http://www.tbi-impact.org/?p=impact/calc
Keywords
versioni (2)
- 28/07/17 28/07/17 -
- 25/01/18 25/01/18 -
Titolare del copyright
Ewout Steyerberg
Caricato su
28 luglio 2017
DOI
Per favore, per richiedere un accesso.
Licenza
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
Descrizione
CT data
Descrizione
Hypoxia
Tipo di dati
integer
Descrizione
Hypotension
Tipo di dati
integer
Descrizione
CT classification
Tipo di dati
integer
Descrizione
Traumatic subarachnoid hemorrhage
Tipo di dati
integer
Descrizione
Epidural hematoma
Tipo di dati
integer
Descrizione
Sub score CT = hypoxia + hypotension + CT characteristics
Tipo di dati
integer
Descrizione
Lab data
Descrizione
Sum scores
Descrizione
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 di dati
integer
Descrizione
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 di dati
integer
Descrizione
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 di dati
integer
Similar models
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM