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Multivariate analysis identifying independent predictors for bacterial infection are reported in table 5. ICU and hospital mortality rates were 20.2% (24 deaths) and 32.8% (39 deaths), respectively.
Results from cell culture experiments were analysed with a fully factorial MANOVA, with post hoc contrast to identify differences between control and septic patients, where multivariate analysis identifying a difference between these groups.
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Our multivariate analysis identified 4 independent factors.
Multivariate analysis identified ⊿CAI and SOFA score as independent prognostic factors.
Multivariate analysis identified 7 variables independently associated with cardiac index (model 1, cf. Table 22).
Multivariate analysis identified loss of heterozygosity at 8p23 as independent prognostic marker for disease-free interval.
However, multivariate analysis identified a significant relationship only between length of hospitalization and blood transfusion (P = 0.006) (Table 10).
In multivariate analysis, identified risk factors for overdosing were the dose-to-weight ratio and an impaired renal function.
A cluster multivariate analysis identified three groups of rootstocks with similar effects on 'Folha Murcha' tree performance.
Multivariate analysis identified age, gamma glutamyl transpeptidase (GGT), cholesterol, platelet count, and prothrombin time as independent predictors of fibrosis.
Multivariate analysis identified age and economic status as significant predictors of arsenicosis controlling for education and gender.
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