This suggests that future investigators developing early prognostic models in the critically ill should consider the inclusion of these parameters (and the composite measure of both together).
Harrell FE Jr, Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.
For the last 15 years, our research team has developed prognostic models for identifying patients at high risk of adverse events.
More accurate prognostic models should be developed; the inclusion of tumor genetic variants may improve prognostic models.
AT and KM2 segmentation methods developed identical prognostic models.
Known clinical prognostic factors (age, treatment and staging) were significant in all of the developed prognostic models.
Prognostic models, such as the Seattle Heart Failure Model (SHFM), have been developed to predict patient survival.
Four prognostic models were created using backward stepwise deletion logistic, Poisson, and linear regression.
CONCLUSION Although some prognostic models have better concordance with survival than the PS only model, the absolute improvement is small.
However, the advanced quantitative analysis of medical images, especially CT, MR and PET, is gaining substantial interest in prognostic research as more accurate prognostic models may be developed.
