Statistical package for the social sciences version 20

Descriptive analyses were used to describe the incidence rate of each APO. To maintain a normal distribution, the titers from maternal TRUST at treatment were transformed using the log₂ of the reciprocal nontreponemal titer (log₂ [1/T]) [18 (link)]. Univariate logistic regression analyses were conducted to identify potential risk factors associated with APOs. Multivariate logistic regression analyses were then conducted to investigate the associations between APOs and potential risk factors. To understand the impact of TRUST titers on pregnancy outcomes, we used the 3^rd power simulation smooth line with the highest coefficient of determination (R²). TRUST results were then divided into high- and low-titer groups, with stratified analysis conducted to further explore the effects of different treatment regimens on APOs. All analyses were conducted using the Statistical Package for the Social Sciences version 20 software package for Windows (SPSS Inc., Chicago, IL, USA). All reported p values are based on a two-sided test with a significance level of α = 0.05.

Study design: we performed a retrospective review of imaging case volumes in the main hospitals in the Aseer region (Aseer Central Hospital, Military Hospital, and Khamis Mushait General Hospital). The study period for 2020 was selected to encompass the peak in COVID-19 cases and to capture the subsequent impacts on imaging case volumes, including all cases in 2020 compared with 2019.
Data collection and extraction: In cooperation with the supervisors of the picture archiving and communication system (PACS) system in the selected hospitals, imaging case numbers were provided for each month for 2019 and 2020. The imaging cases were further classified according to department (i.e., emergency department, inpatients, and outpatients), and modality types (e.g., X-ray, ultrasound, computed tomography [CT], interventional radiology, magnetic resonance imaging [MRI], nuclear medicine, and mammography).
Statistical analysis: Statistical assessments were performed using the Statistical Package for the Social Sciences (version 20; SPSS-Inc.; New York, NY, USA) considering 95% confidence intervals (α = 0.05); t-tests and one-way ANOVA were applied to the data.

The Mann–Whitney U test and the chi-square test were applied to compare continuous and categorical variables. Bivariate correlations were analyzed using Spearman’s rank correlation coefficients. Non-parametric bivariate tests were selected due to the non-normal distribution of data. Analysis of co-variance (ANCOVA) was used to test the effects of each group (patients vs. healthy controls) and the history of ACEs on metabolic parameters. Age, sex, BMI, cigarette smoking status, illness duration and the chlorpromazine equivalent dosage (CPZeq) were included as co-variates. Results were interpreted as significant if the p-value was <0.05. In case of significant interactions in the ANCOVA, post-hoc tests were performed. The Games–Howell test was used to perform post-hoc comparisons. Analyses were carried out using the Statistical Package for the Social Sciences, version 20 (SPSS Inc., Chicago, IL, USA).

The data collected were analysed using the Statistical Package for the Social Sciences version 20 (SPSS Inc., 233 South Wacker Drive, Chicago, USA). Differences in categorical variables between groups were determined using the student t-tests while Chi-squared test was used for continuous variables. Differences in quantitative variables for the different patient groups were determined with ANOVA (with Bonferroni Post-Hoc analysis as appropriate) and p < 0.05 was considered statistically significant.

Data are presented as mean with standard deviation. BCVA and the number of glaucoma medications were compared using the Wilcoxon signed-rank test. A comparison of the extent of preoperative and postoperative ECD was performed using the paired t-test. Repetitive measures analysis of variance was used to compare the preoperative and postoperative IOPs. We use the Statistical Package for the Social Sciences, version 20 (SPSS, Chicago, IL, USA), to perform the above-mentioned analyses.

The collected information was initially entered into a Microsoft Excel spreadsheet
before analysis. Data were analyzed using Statistical Package for the Social Sciences
version 20 (SPSS Inc., USA). The Chi-square test was used to test for the association
between categorical variables. All variables were considered significant at
p≤0.05.