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Classification and regression tree analysis showed that management scenario was the strongest predictor of total carbon storage, though site-specific variables were important secondary predictors.
Secondary predictors of mortality were age, gender, weight, cancer, surgery, MV duration, APACHE II score, duration of anaemia (days), reintubation, SOFA 3 score, albuminemia level and incidence of airway obstruction.
Secondary predictors evaluated were time from each of the AKI stages to RRT or creatinine peak.
None of the other secondary predictors were significant in the multivariable model.> -wrap-foot>> -wraMeanot> aMean refers to mean value during first 3 days following admission.
Secondary predictors, with a p value <0.10, were high cerebral blood flow velocity, mean heart rate and dose of given norepinephrine.
The primary and remaining secondary predictors were inserted separately in the reduced model and were considered independently associated with the dependent variable if it was significant and a significant better model was obtained.
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The secondary predictor variables include plasma homocysteine levels and the C677T polymorphism of the MTHFR gene, grouped by TT and CT and CC genotypes.
The secondary predictor variables were: M3 position, classified using the Pell and Gregory system; angulation, classified using Shiller's method; and the number of visible dental roots.
Even in developed countries perceived threat has been regarded as a secondary predictor of behaviour [ 34].
The secondary predictor variable was time-course from collapse to advanced airway placement.
In multivariate analysis, after adjusting for secondary predictor variables, payer status was a statistically significant predictor of survival.
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