Spss software for windows version 16

Normally distributed results were expressed as means ± standard deviations. The fasting plasma glucose, hs-CRP, and creatinine levels, right atrial diameter, right ventricular end-diastolic diameter, left ventricular end-diastolic posterior wall thickness, LVMI, and left ventricular ejection fraction were not normally distributed and were expressed as medians (interquartile ranges). Categorical values were presented as numbers (percentages).
Differences among groups were evaluated using one-way analysis of variance, followed by the post hoc test with Least-Significant Difference (LSD) for the continuous variables and the chi-square test for the categorical variables. The univariate and stepwise multivariate linear regression analyses were performed to assess the relationship between the clinical factors and eGFR. Continuous variables with a skewed distribution were natural logarithm (ln)-transformed to attain normal distributions. The Pearson’s correlation was used for simple linear analysis between the creatinine-adjusted urine 8-OHdG level and AHI and eGFR. A two-sided P value of < 0.05 was considered significant. All statistical analyses were performed using SPSS software for Windows, version 16.0 (SPSS, Chicago, IL, USA).

Statistical analyses were performed using SPSS software for Windows (version 16.0; SPSS, Inc., Chicago, IL, United States). The differences between the two groups were determined using a two-tailed Student’s t-test. Pearson correlation analysis was performed to investigate the linear relationship between the microarray data and qRT-PCR results. A receiver operating characteristic (ROC) curve was established to evaluate the diagnostic accuracy of lncRNAs as biomarkers of SNIP. The chi-square test was used to determine the relationships between clinical characteristics and altered lncRNA expression. p < 0.05 was considered statistically significant.