Sentence examples for multivariate analysis predictive from inspiring English sources

In multivariate analysis, predictive factors of in-ICU death were IGS II, mechanical ventilation and administration of inotropes.

In multivariate analysis, predictive factors for developing early high blood pressure were past history of ischemic heart disorder (p = 0.001) and support by mechanical ventilation (p = 0.01).

In multivariate analysis, predictive factors for delayed postoperative ICU admission were SAPS 3 score (OR 1.25 IC 95 % 1.1 1.4) and operative time (3.33 IC 95 % 1.7 6.3).

In multivariate analysis, predictive factors for intubation were higher heart rate (HR per heart beat: 1.03, p = 0.02), SpO2 <95%% (HR 5.07; p = 0.001) and SAPS2 score the day of FOB (HR per unit: 1.06; p < 0.0001).

In the multivariate analysis, predictive factors for all-cause mortality were comparable for both methods when age and gender were included in the model of the standard method: a history of cardiovascular disease (HR 1.79 and 1.71) and, albuminuria (HR 1.79 and 1.72).

In a multivariate analysis, predictive factors for treatment failure were age >60 and thrombocytopenia < 20000/mm.

Based on data obtained in our multivariate analysis, a predictive score was designed to represent an add-on predictive score for overall mortality.

A multivariate analysis with predictive modeling was performed.

Table 3 shows the univariate and multivariate analysis of predictive factors of one-year mortality.

On multivariate analysis, the predictive factors of mortality were age, the presence of cirrhosis and surprisingly, altered baseline glycaemia.

Multivariate analysis of predictive factors of TTP was performed using a Cox regression model with calculation of hazard ratio (HR) and a confidence interval (CI) of 95%.