Multivariate mortality prediction models performed poorly in this patient cohort.
Mortality predictive values of APP.
Our multivariate analysis also revealed that high UF volume had an independent association with mortality, which was consistent with previous studies showing the mortality predictive value of increased interdialytic weight gain [ 27, 28].
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).
Table 3B shows the final multivariate Cox predictive models for total and cardiovascular mortality, obtained by backward stepwise logistic regression approach (P≥0.10 to remove).
A multivariate predictive model for mortality was constructed by using the variables that had significant interactions with the rate of demise (P ≤.1).
Adjusted multivariate logistic regression analysis was applied to mortality prediction.
On multivariate analysis, the predictive factors of mortality were age, the presence of cirrhosis and surprisingly, altered baseline glycaemia.
Univariate and multivariate analysis assessed predictive factors of mortality in the population of patients receiving new AT (Tables 4 and 5).
Table 3 shows the univariate and multivariate analysis of predictive factors of one-year mortality.
