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When the parameters predicting patient outcome in univariate analysis were investigated in a multivariate model, disease stage was the only independant predictor of 5-year DFS in cohort A (Table 2).
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In a multivariate model heart disease was a significant risk factor for death just as COPD, age and male gender, however, when smoking habits were added to the model there was a slight change.
In a multivariate model, however, disease activity was independently associated with the percentage change in DXR-BMD (B = -0.47, P < 0.01) (Table 3) and with the DXR-MCI (B = -0.47, P < 0.01), after adjusting for other variables that could influence hand bone change as well as age.
Among postmenopausal patients (n = 148) both of those factors retained independent prognostic significance in the multivariate model for disease-free survival.
Furthermore, tumour size and FasL Fas ratio were of independent predictive significance in the multivariate model for disease-free and overall survival in that subgroup.
After backward elimination only RSCL physical symptoms (HR 0.641; p = 0.024), tumor length (HR 1.112; p = 0.008), and endosonographic T-stage (T1 versus T3 HR 0.029; p < 0.001 and T2 versus T3 HR 0.975; p = 0.918) were significant predictors in the multivariate model for disease-free survival (Table 4).
On the basis of univariate performance as well as frequency of marker appearance in multivariate models for disease aggressiveness and lethal outcome, 12 biomarkers were selected.
According to these authors, multivariate models of disease progression can also identify the factors that contribute to the variance and thereby foster the ability to stratify patients in clinical trials or to predict progression in individual patients.
In the multivariate model, however, only disease severity appeared to be a significant contributing factor (β = −0.47; p = 0.003).
Airway symptoms and bleeding diathesis are frequent in hantavirus-infected patients so these symptoms were evaluated in the same multivariate model as the disease severity classification.
In a multivariate model, adjusted for disease stage, LVI status and tumour site, the interaction between CatS expression and treatment status was significant for both RFS (HR 0.46; 95% CI, 0.24 0.90; P=0.02) and OS (HR 0.49; 95% CI, 0.50 0.96; P=0.04; Table 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com