Spss statistics software version 20.0 for windows

IBM SPSS statistics software version 20.0 for Windows was used for statistical analysis. Spearman Coefficient was performed including all diagnostic and follow-up respiratory samples to establish the relationship between Ct and TTD and between Ct and smear grade. Samples from patients with pulmonary TB in treatment (i.e. GX positive follow-up samples) were excluded from further statistical analysis. Demographical, clinical and radiological data of the newly diagnosed patients were recorded and analyzed.
The performance of Ct values for the detection of smear-positive patients was evaluated using receiver operating characteristic (ROC) curve analysis.
Youden's index was calculated to establish the optimal Ct cut-off value to confirm/rule in smear positivity [13] (link). Receiver Operator Characteristic (ROC) curves were performed with Graph-Pad Prism software.
Univariate analysis of known clinical, radiological and microbiological variables associated with smear positivity [8] (link) was carried out to evaluate if any of these variables could improve predictive capability of the Ct values. Chi-square test and Student's t-test were used for categorical and continuous variables respectively. P values less than 0.05 were considered statistically significant.

Data are expressed as mean ± SD or number of patients (%). Changes in echocardiographic variables during postoperative follow-up were analyzed with the use of a one- way ANOVA for repeated measures followed by a Tukey Post Hoc test compared using the one-way analysis of variance (ANOVA). And Pearson's chi-square test was used with two-tailed P-value to compare categorical variables. Relationships between EOAIs and MG were assessed with multiple nonlinear regression models, and the equation providing the best fit was retained. The results for intra-observer and interobserver variability between methods of measurement were assessed using the Bland-Altman methods.^{[11 (link)]} All statistical analysis was performed with SPSS Statistics version 20.0 software for Windows (SPSS Inc., Chicago, IL, USA). A two-sided P-value < 0.05 was considered statistically significant.

Continuous variables are presented as the mean ± SD or median (interquartile range) and compared by Student's t-test or Mann-Whitney U test according to whether they were normally distributed. Categorical variables are presented as a percentage and compared by Pearson's chi-square tests. Logistic regression models (backward likelihood ratio method) were utilized to identify variables related to ACEI/ ARB treatment. Univariable and multivariable Cox proportional hazard regression were performed for all-cause mortality, cardiovascular mortality, stroke and MAEs in which the hazard ratio (HR) and 95% confidence interval (CI) were calculated. Variables with a P-value < 0.10 in the univariable analysis or clinically relevant with endpoints were included in the multivariable regression models using the backward likelihood ratio (LR) method to avoid overfitting. The Kaplan-Meier survival curves were constructed and log-rank tests were used to compare the two groups. Subgroup analyses were performed to assess the homogeneity of the association between ACEI/ARB therapy and one-year all-cause mortality, cardiovascular mortality and MAEs. All statistical tests were two-sided, and P-value < 0.05 was defined as statistically significant. SPSS Statistics version 20.0 software for Windows (SPSS Inc., Chicago, IL, USA) was used for all statistical analyses.