Statistical package for the social sciences spss statistics 26

Our analyses were performed using the entire cohort, drawing comparisons between patients with EF lower or higher than 35%. Patient characteristics are reported according to variable properties.
Categorical variables (ex. MR grade) are reported as % (n), and differences between subgroups were tested, when appropriate, using the chi-square test of Fischer’s exact test. Continuous variables (ex. LVEF, PCWP, V-wave, sPAP) are reported according to their distribution. Those with a normal distribution are reported as mean (±standard deviation), and differences between subgroups were tested using the student’s T-test. Those without a normal distribution are reported as median (interquartile range), and differences between subgroups were tested using the Mann-Whitney U. A p-value less than 0.05 was considered to be statistically significant. Kaplan-Meier estimates were used to calculate survival curves, which were adjusted to age and compared using the log-rank test. All clinical events were analyzed by time-to first event for Kaplan-Meier analysis. The IBM Statistical Package for the Social Sciences (SPSS) Statistics 26.0 (IBM Corp., Armonk, NY, USA) was utilized to perform the analyses.

Our analyses were performed using the entire cohort, comparing between patients presenting with ADHF or electively admitted. Patient characteristics are reported according to variable properties. Continuous variables were expressed as mean ± standard deviation or median and interquartile range, where appropriate. Those with a normal distribution are reported as mean (± standard deviation), and differences between subgroups were tested using the student’s t-test. Those without a normal distribution are reported (interquartile range), and differences between subgroups were tested using the Mann–Whitney U. Categorical variables were presented as counts and percentages.
Follow-up time was calculated using Kaplan–Meier estimate of potential follow-up. Kaplan–Meier curves with the log-rank test were used to compare survival. All clinical events were analyzed by time to first event for Kaplan–Meier analysis. A two-tailed p-value ≤ 0.05 is regarded as statistically significant. The IBM Statistical Package for the Social Sciences (SPSS) Statistics 26.0 (IBM Corp., Armonk, NY, USA) was utilized to perform the analyses.