Spss statistics for macintosh v 25

Statistical analyses were performed using IBM SPSS Statistics for Macintosh v.25. (Amonk, NY:IBM Corp).
Continuous variables were expressed as mean ± standard deviation, and categorical variables as frequencies and percentage. Continuous variables were compared between the two groups with an independent samples t test or Mann–Whitney U test, depending on the normality of distribution of data. Of normality tests, Kolmogorov–Smirnov and Shapiro–Wilk tests were used. Chi-squared test was used to determine whether there was a correlation between groups for categorical data. The association between the number of previous surgeries and surgical success was assessed via Kendall’s tau correlation and logistic regression. Independent predictor factors of surgical success and postoperative ABGs of revision surgeries were examined with multivariate regression analysis.
A p value of less than 0.05 was considered to indicate statistical significance in all tests (95% confidence interval).

This study was designed to determine risk factors for in-hospital mortality for patients with IE. The exposure of interest was elevated troponin. Descriptive and bivariate analyses were utilized to describe differences in the patient population. Categorical and continuous variables were compared using the Chi-Square, Fisher’s Exact, or Mann-Whitney U-tests. Classification and regression tree (CART) analyses were performed to identify dichotomous breakpoints in continuous variables associated with mortality. Variables associated with in-hospital mortality from bivariate analyses (P < 0.2) or deemed clinically relevant a priori were considered for inclusion into a multivariable logistic regression model. Variables were manually entered into the model using a backwards, step-wise approach in order to determine variables independently associated with developing in-hospital mortality while controlling for potential confounders. Other variables were excluded from the model because of unmet clinical or statistical criteria, to preserve the n:k ratio, or to prevent collinearity. The final model was evaluated for goodness-of-fit using the Hosmer-Lemeshow test. All statistics were performed with IBM SPSS Statistics for MacIntosh v.25 (IBM Corp., Armonk, NY).