Statistical package for social science spss for windows version 25

Categorical data were presented as relative and absolute frequencies and compared with chi-square or Fisher's exact test, as appropriate, while continuous variables were shown as median and interquartile range (IQR) and their comparison was performed by nonparametric Mann–Whitney U test. The correlation between anti-ApoA-1 and anti-Ac-terAA1 IgG was calculated by Spearman's rank correlation test. The association between anti-ApoA-1 and anti-Ac-terAA1 IgG and TA was calculated by a linear regression analysis and expressed with 95% confidence interval (95% CI). The prognostic ability of the two autoantibodies towards the prediction of TA was measured by C-statistics, whose value was given with corresponding 95% CI. For the cutoffs of both anti-ApoA-1 and anti-Ac-terAA1 IgG, the corresponding sensitivity, specificity, and positive and negative predictive values (PPV and NPV, respectively) were provided. Analyses were performed using IBM Statistical Package for Social Science (SPSS) for Windows, Version 25.0 (IBM Co., Armonk, NY) and MedCalc 12.5 (MedCalc Software, Ostend, Belgium).

Data were entered into the IBM Statistical Package for Social Science (SPSS) for Windows, version 25.0 [11 ]. Descriptive results were compiled by computing frequencies for categorical variables. The continuous variables were summarized using means and SDs for normally distributed variables. Regression analyses were performed to test whether there were significant associated factors affecting the outcomes. The Pearson correlation coefficient (r) was used to measure the strength and direction of the relationship between variables. The Chi-square test was used to test for categorical variables’ association. Statistical significance was claimed at p ≤ 0.05, and we also provide the 95% CI.