Statistical analysis
LAA thrombi, thrombus
REGRESSION, THROMBUS
All quantitative variables were expressed as mean ± standard deviation (SD) and compared using Student’s unpaired or paired t-test. Qualitative data (nominal or ordinal scale) are reported as absolute numbers or percentages and were compared using the chi-square test.All tests were two-tailed, and A multivariable logistic regression model was used in patients with LAA thrombi to determine independent variables that could predict probability of thrombus resolution. Only parameters that were available in over 90% in all patients with LAA thrombi were used. Risk was expressed as odds ratios (ORs) with 95% confidence intervals (CI)s. Goodness of the multivariable models was confirmed using the Hosmer–Lemeshow test. The mortality rates were analyzed using the Kaplan–Meier method.All data analyses were performed using IBM SPSS Statistics for Windows (v. 27.0; IBM Corporation,Armonk, NY, USA).