Spss for windows software package version 14.0k

Since this study was a preliminary proof-of-concept study, the sample size was not calculated. We planned to enroll over a 4-month period and monitor the development of CMV infection for an additional 6 months. For each of the tests used here to predict CMV infection namely the pp65- and IE1-specific ELISPOT assays, we examined receiving operator characteristic (ROC) curves that plotted sensitivity against the rate of false-positive results over a range of cut-off values [7 (link)]. We chose the optimal cut-off value as the point on each ROC curve farthest from the diagonal line that maximized the sum of sensitivity and specificity. Diagnostic performance was expressed in terms of sensitivity, specificity, positive predictive value, and negative predictive value. Categorical variables were compared using Pearson's Chi-square tests. All tests of significance were two-tailed and a P-value of less than 0.05 was considered to indicate statistical significance. Calculations were performed using the SPSS for Windows software package, version 14.0K (SPSS Inc., Chicago, IL, USA) and MedCalc software (MedCalc Software bvba, Mariakerke, Belgium).

The findings for the CYP2C19 subgroups were compared by using the Chi-square and Kruskal-Wallis tests. Continuous variables were presented as means±SD and compared by using the unpaired t-test. Categorical variables were presented as numbers or percentages and were compared by using Chi-square or Fisher's exact tests when the expected frequency was <5. Pearson's correlation coefficient was used to evaluate associations between the results of the PFA-200, LTA, and VerifyNow assay systems. The correlation coefficient was classified into three grades: high correlation (0.5 to 1.0), medium correlation (0.3 to 0.5), and low correlation (0.1 to 0.3) [15 ]. P values <0.05 were considered statistically significant. Statistical analyses were performed using the SPSS for Windows software package, version 14.0K (SPSS Inc, Chicago, IL, USA).