Spss statistics for windows version 27

Sample size was predetermined by the t-test sample size calculation, using IBM SPSS Statistics for Windows, version 27, based on the assumption that the minimum detectable difference between the two groups in percent body fat was 10%. A total of 64 patients were required, with a significance level of 0.05 (α = 0.05) and a power of 80% (β = 0.20). Considering the predicted dropout rate, the total sample size was increased to 72.
All descriptive data are expressed as the number of patients, mean ± SD, and median [interquartile range]. Continuous variables were analyzed by a two-tailed t-test or Mann—Whitney rank-sum test after a normality test. The χ² test was used to compare categorical variables. Linear regression analysis was performed to verify the relationships between body composition parameters and the ODI scores. A p-value of less than 0.05 was considered statistically significant. All statistical analyses were performed using IBM SPSS Statistics for Windows, version 27.

Between January 2012 and December 2020, 506 patients suffering from spontaneous aneurysmal SAH were admitted to our institution. SAH was diagnosed by computer tomography (CT) or lumbar puncture. All patients with spontaneous SAH underwent four-vessel digital subtraction angiography (DSA) to identify the source of bleeding. We excluded all patients with traumatic origin of SAH. Clinical data, including patient characteristics on admission and during the treatment course, radiological features (including Fisher scale) and functional neurological outcome were collected and entered into computerized database (IBM SPSS Statistics for Windows, Version 27.0., Armonk, NY, USA: IBM Corp.). The World Federation of Neurological Surgeons (WFNS) scale was used to grade patients on admission [9 (link)]. WFNS grades 1–3 were considered “good grade SAH”, and WFNS grades 4–5 were considered “poor-grade SAH”.

The results are given as mean (SD), median (min; max) and number (proportion in percentage). Some results are given both as mean (SD) and median (min; max) to present deviations from normal distributions. All analyses were performed on original data, and some analyses were also performed on logarithmic (ln) transformed data because of deviations from a normal distribution. The levels of the KP metabolites in the E-groups and comparisons between the E-groups were analysed with a linear mixed model and reported as estimated marginal means with 95% confidence intervals (CI) and p-values. To account for the KP-metabolites’ deviations from a normal distribution, the pairwise comparisons between the E-groups were analysed with a linear mixed model based on 10,000 bootstrap samples and reported as the differences between the mean values with a 95%CI (percentile) and p-values. Statistical analyses were performed with IBM Corp. Released 2020: IBM SPSS Statistics for Windows, Version 27.0. Armonk, NY, USA: IBM Corp. To reduce the possibility of type 1 errors, p ≤ 0.01 was chosen as statistically significant in this explorative study with multiple tests.