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In summary, each model assessed the relation between each volume variable (surgeon and institution) and mortality.
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Adjusted probabilities were calculated using model 4. We tested for an interaction between the two volume variables.
A remarkable finding of the present study is the excellent concordance between the lung volume variables obtained by inert gas washout and chest CT imaging.
No statistically significant difference was detectable between the lung volume variables after lung lavage at any PEEP level.Figure 3 depicts changes in the LCI with PEEP under baseline conditions and after lung lavage.
An initial univariate analysis was performed using Spearman's rank correlation coefficient to measure the statistical dependence between two metabolic ratio variables or between a metabolic ratio and a tumour volume variable.
Figure 5 summarizes the degrees of agreements between each pair of lung volume variables measured on polar plots.
Furthermore, airway closures induced by surfactant depletion compromises CO2 diffusion into the airspaces, which may explain the improved correlation and closer agreement between ELV and the other lung volume variables in the present of diminished surfactant function.
The analysis was then carried out using linear, polynomial, exponential and logarithmic regressions to test the temporal influence of the monotonic relationships observed between the metabolic ratios themselves and between the metabolic ratios and the tumour volume variables.
After each step of bleeding and each volume challenge, hemodynamic variables were recorded for data analysis.
The relationship between each relevant variable and radiation dose and time was determined.
We also tested for interactions between each perception variable and each contextual variable.
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