Continuous variables were presented as mean ± standard deviation, and the categorical variables were expressed as number (%). Correlation coefficients between covariates of interest were calculated. Univariate Cox regression analysis was performed to investigate the independence of risk factors associated with BF. Unadjusted and multivariable adjusted hazard ratios (aHRs) of BF risks were calculated for serum adiponectin concentrations in the Cox regression model. The cumulative survival probability and proportional hazards were categorized according to the higher and lower concentration groups of adiponectin with graphical methods. To assess the predictive accuracy of circulating adiponectin levels for mortality, the area under the ROC curve (AUC) was used as the criterion in accordance with our previous research [2 (link),16 (link)]. An AUC of 0.5 indicates no predictive ability, whereas a value of 1 represents perfect predictive ability. A p-value < 0.05 was considered statistically significant. We used the PASW Statistics SPSS version 22.0 (IBM, Armonk, NY, USA) to analyze all bio-clinical data of MHD patients.
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