Pasw statistics spss version 22

The continuous variables were presented as mean ± standard deviation, and the categorical variables were expressed as number (%). The correlation coefficients between covariates of interest were calculated. The univariate Cox regression analysis was performed to investigate the independence of risk factors associated with all-cause and CV mortality. If hazard ratios (HRs) for the variables in the univariate analysis were significant, we would select the covariates into the multivariable regression model and GDF15-based death prediction model. Multivariable adjusted hazard ratios (aHRs) of different mortality risks were calculated for plasma GDF15 tertiles in the Cox regression model. The cumulative survival probability and proportional hazards were presented by graphical methods. To assess the predictive accuracy of GDF15 tertiles and GDF15-based risk score for mortality, the area under ROC curve (AUC) was used as the criterion [3 (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, City, NY, USA) to analyze all bio-clinical data of MHD patients.

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.

All data are expressed as the mean ± SD using the GraphPad Prism Program (GraphPad, San Diego, CA, USA) or PASW Statistics SPSS version 22.0 (IBM, NY, USA). The linear regression and multivariate analysis were performed by SPSS version 22.0 (IBM, NY, USA). Quantitative data were analyzed with a non-paired or paired Student’s t-test. The significance threshold was set at 5% (p < 0.05). The G power software and t-test were used to estimate the number of samples in this study.