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The impact of malnutrition on morbidity, mortality, length of hospital stay and costs evaluated through a multivariate model analysis.
These differences were also verified after adjusting the analysis for age in a multivariate model analysis.
Variables from the univariate analysis that were associated with significant changes in mortality were introduced in a multivariate model analysis.
Clinical and DSE variables associated with an increased risk of all end points of interest in the multivariate model analysis are presented in Table 1.
The single item questions A, B and C all had an AUC >0.70 and were eligible for the multivariate model analysis.
To identify the combination of scales and items with the most precise predictive value for CG, we performed a multivariate model analysis.
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Recurrence risk of perinatal death was estimated in multivariate models analysis while adjusting for confounders and accounting for correlation between births from the same mother.
Multivariate model of analysis revealed no additional factors that might have an impact on coronary artery occlusion.
Hospital death was not significantly different in multivariate regression model analysis (OR 0.75 [0.44–1.28]; p = 0.29) (Additional file 1: Table S5).
Univariate and multivariate Cox model analysis were performed to assess the effects of candidate variables on survival.
The multivariate Cox model analysis identified PAK1 as a possible prognostic factor in pancreatic cancer patients.
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