Spss v 22.0 for windows

Statistical analysis will be performed using the SPSS V.22.0 for Windows (IBM). Quantitative variables will be reported as the mean±SD or median (25th–75th IQR). BRS and HRV measures will be compared in elderly patients with and without PIH. Categorical variables will be compared using χ2 or Fisher’s exact test. Differences in mean or median values between PIH and stable groups were compared using Student’s t-test or the non-parametric Mann-Whitney U test to explore the association between PIH and preoperative ANS function. Logistic regression will be used to estimate the relationship between frailty, BRS and PIH. Since different anaesthetic agents (mainly propofol vs etomidate) used for induction might bring in confounding factors, we will use logistic regression to adjust for confounding. We will consider p<0.05 as statistical significance.

Continuous data were presented as mean±SD, and categorical data were presented as frequencies. Normally distributed continuous data were analysed using the independent t-test, while the rank sum test was used for non-normally distributed data. The χ² test was used for categorical data. After adjusting for age and gender using binary logistic regression, the evaluation of ORs and 95% CI of the risk factors for DR was performed. In the binary logistic regression analysis, the continuous variables were FPG, UA, TC, TG, LDL-C and HDL-C. The patients were grouped as diabetes, pre-diabetes and normal glucose tolerance (NGT), according to the 1997 ADA guidelines.4 (link) For the multivariate analyses performed in patients with diabetes and pre-diabetes, the continuous data were transformed into categorical data for the logistic regression: (1) age was divided into 10-year groups; (2) blood pressure was divided into 10 mm Hg groups; (3) the course of the disease was divided into three groups: <5, 5–9 and >9 years; (4) BMI: <24 and ≥24 kg/m²; (5) CCR <90 mL/min (abnormal) and CCR ≥90 mL/min (normal); (6) abdominal obesity: men, waist circumference ≥85 cm, women, waist circumference of ≥80 cm, or waist-to-hip ratio ≥0.93. SPSS V.22.0 for Windows (IBM) was used for statistical analysis. Two-sided p-values <0.05 were considered statistically significant.

This article focuses on the methods and the adaptation of the questionnaires for use in the registry and reports on the initial results from the first 1000 subjects included in the database.
Due to the limited number of observed complications and the inhomogeneous type of the surgical treatments and the medications used, only descriptive statistical analysis was appropriate in this pilot study. However, analytical statistics of the confirmatory questions in midterm outcome can be expected from the registry, which was established in the summer of 2014.
Medians, interquartile ranges, CIs and significance (at 5% level) for the incidence of wound complications in patients treated with immune-modulating medication compared with those not treated were computed using SPSS V.22.0 for Windows (IBM).

We conducted all statistical tests using IBM SPSS V.22.0 for Windows (IBM, Armonk, New York, USA). We expressed continuous variables with a normal distribution as means±SD, and those with skewed distributions as medians with IQRs. We present categorical data as numbers or percentages.
Follow-up assessments were performed 1 year after the subjects’ return to work to examine the factors affecting their ability to continue working. Assessments were done by Cox proportional hazard modelling, using the stepwise method to include variables with a p value of <0.2. The working duration from the time of return to work to additional sick leave was used as the dependent variable, and we adjusted the analyses for background data (ie, sex, age, occupation, job rank, number of job switches and number of sick leaves), daily imipramine equivalent dose and daily diazepam equivalent dose at the time of return to work.