Sentence examples for multivariate analysis predictors from inspiring English sources

In multivariate analysis, predictors of renal failure were EC time, the EuroSCORE and RBC transfusion only.

On multivariate analysis, predictors of any morbidity included male gender (P = 0.009) and estimated blood loss (P = 0.017).

In multivariate analysis, predictors were age lower than 50 years (p = 0.000; OR 8.9) and a unilateral mydriasis (p = 0.025; OR 4.026).

In the multivariate analysis, predictors of failure of NIV were: cardiovascular dysfunction, therapeutic intervention score (TISS) ≥ 40, and presence of a solid tumor.

In multivariate analysis, predictors of positive CSM were advanced age and pathologic ECG (Table 2).

In a multivariate analysis, predictors of non-adherence included treatment with oral quinine (P<0.001), being male (P<0.05), and vomiting (P=0.02).

In the multivariate analysis predictor, variables with univariate P-values <0.1 were included.

In multivariate analysis: predictor of mortality SAPS II scale (P = 0.04, OR 0.06 (CI 0.99 to 1.12)).

Multivariate analysis of predictors of poor outcome, ultraearly surgery was not an independent predictor of poor outcome, while advanced age, postresuscitation WFNS V grade, intraventricular haemorrhage, brain herniation and non-middle cerebral artery (MCA) aneurysms were associated with poor outcome.

The multivariate analysis for predictors of mortality following adjustment of other variables revealed that female gender was an independent predictor of mortality in patients presenting with ACS.

Multivariate analysis identified predictors of HRQOL, disability, and depressive symptoms.A total of 168 patients completed surveys for this study.