Statistical package for social science program

Continuous variables are expressed as the mean ± standard deviation. Logarithmic transformation was applied to the data showing non-normal distribution. Group comparisons were performed using the Student’s t-test and one-way ANOVA, followed by the least significant difference (LSD) test. p < 0.05 was considered statistically significant. General linear models were used to identify the independent predictors and for the adjustment of confounding factors for blood oxidative stress markers and mtDNA copy numbers between PD and non-PD groups. As the mtDNA copy number displayed a non-linear distribution pattern, we changed it to a delta Ct set for comparison, whereas oxidative stress markers displayed in a linear distribution. The contrast factor was applied in a one-way analysis of variances to test for linear trends displayed by the various ages, high–low dopamine dose, and quartile dopamine dose subgroups. Statistical analysis was performed using the Statistical Package for Social Science Program (SPSS for Windows, version 11.5; SPSS, Chicago, IL, USA).

The statistical analysis was performed using Statistical Package for Social Science program (version 16.0; SPSS Inc., Chicago, IL). In the present observational study 6 to 15 (Average 10) successive readings of ABG were noted for each patient. For the descriptive analysis, continuous variables were described as medians with interquartile ranges (IQRs) and categorical variables as percentages and frequencies. Spearman correlation test was done for calculation of correlation between pH and other ABG parameters. The test with p value < 0.05 was considered statistically significant.