ID
24255
Beschreibung
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
Stichworte
Versionen (2)
- 28.07.17 28.07.17 -
- 25.01.18 25.01.18 -
Rechteinhaber
Ewout Steyerberg
Hochgeladen am
28. Juli 2017
DOI
Für eine Beantragung loggen Sie sich ein.
Lizenz
Creative Commons BY-NC 3.0
Modell Kommentare :
Hier können Sie das Modell kommentieren. Über die Sprechblasen an den Itemgruppen und Items können Sie diese spezifisch kommentieren.
Itemgroup Kommentare für :
Item Kommentare für :
Um Formulare herunterzuladen müssen Sie angemeldet sein. Bitte loggen Sie sich ein oder registrieren Sie sich kostenlos.
IMPACT model for 6 month outcome after TBI
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM
Beschreibung
CT data
Beschreibung
Hypoxia
Datentyp
integer
Beschreibung
Hypotension
Datentyp
integer
Beschreibung
CT classification
Datentyp
integer
Beschreibung
Traumatic subarachnoid hemorrhage
Datentyp
integer
Beschreibung
Epidural hematoma
Datentyp
integer
Beschreibung
Sub score CT = hypoxia + hypotension + CT characteristics
Datentyp
integer
Beschreibung
Lab data
Beschreibung
Sum scores
Beschreibung
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.
Datentyp
integer
Beschreibung
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).
Datentyp
integer
Beschreibung
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).
Datentyp
integer
Ähnliche Modelle
IMPACT model for 6 month outcome after TBI
- StudyEvent: ODM