Spss statistics version 19.0 for windows

Qualitative variables were described with absolute frequency and percentage and quantitative variables with median and range.
The spread of methylene blue-lidocaine solution and the staining of the intercostal nerves, along the five planes described above, were compared according to the injected volume (LV or HV). The Fisher’s exact test was used to compare the proportions of stained nerves and planes according to the volume injected. Wilcoxon signed-rank test was used to compare the mean ranks of intercostal nerves and TTP interchondral segments stained with LV and HV methylene blue-lidocaine solution. The level of significance was set at 0.05. Statistical analyses were performed using IBM SPSS statistics version 19.0 for Windows (SPSS Inc., Chicago, IL, USA).

We allocated participants to two groups: the high understanding group (over 7 points) and low understanding group (under 4 points), based on the score of question 2. Participants scoring 5 or 6 points were excluded from the analysis to accentuate the difference between groups. To determine the source of information, which provides a good understanding of the risk factors, we examined the association between the two groups and each source of information, using chi-square test or Fisher exact test. Moreover, multivariate logistic regression was performed to determine the sources of information that provide a good understanding of the risk factors. Input variables were selected from the significant factors based on the results of the chi-square test or Fisher exact test (p<0.1). Multivariate logistic regression was conducted using forward selection (likelihood ratio), and model chi-square test (p<0.05). Overall percentage of correct information provided, goodness-of-fit (p>0.05), and odds ratio of each factor in the final regression model was calculated. All statistical analyses were performed using SPSS Statistics Version 19.0 for Windows (IBM; Brush Prairie, WA, USA).

Statistical analyses were performed using IBM SPSS Statistics version 19.0 for Windows. Data were expressed as mean ± standard deviation, unless otherwise indicated. UACR and serum triglyceride level were expressed as median values with interquartile ranges (IQR), and analyzed using non-parametric tests. Continuous variables were analyzed via one-way analysis of variance (ANOVA). Non-continuous data were presented as percentages, and were analyzed using Pearson’s χ² test. In order to examine the influence of the interaction, between age on one hand and glycemic and blood pressure control on the other hand, on outcomes, we further divided study participants according to their mean HbA1c and systolic blood pressure (SBP) tertiles. Hazard ratios (HR) and 95% confidence intervals (CI) were calculated using multivariable Cox regression models, after adjusting for other baseline risk factors or potential confounders. For example, in order to compare glycemic control between different age groups, the results were not adjusted for age and HbA1c. Unadjusted incidence rates were calculated through dividing the number of participants with a given complication, by the total number of patient-years including the follow-up period; rates were reported as events per 1000 patient-years. Statistical significance was considered at P < 0.05.

The chi-square test and Fisher’s exact test were used for categorical data. The unpaired t test was used for continuous data. We used univariate and multivariate logistic regression models to examine the association between overweight and the prevalence of FA. The models included a crude model, adjusted for age (continuous variable) or age and asthma. All statistical tests were two-tailed. p values less than 0.05 were regarded as significant. All analyses were performed using IBM SPSS Statistics version 19.0 for Windows.