Additional file 1 of A prediction model for left ventricular thrombus persistence/recurrence: based on a prospective study and a retrospective study
Creators: name: Yang, Qing
name: Quan, Xin
name: Wang, Chuangshi
name: Yu, Litian
name: Yang, Yanmin
name: Zhu, Jun
name: Liang, Yan
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified

description: Additional file 1: Fig. S1. LASSO coefficient profiles of the 44 variables. A coefficient profile plot was produced against the log (Lambda) sequence. Fig. S2. ROC curves of Model 1 and Model 2 for predicting the risk of LV thrombus persistence/recurrence at 3 months. (A) Training set. (B) Validation set. The black curve represents the model discrimination ability of Model 1 either in the training set or the validation set. The red curve represents the model discrimination ability of Model 2 either in the training set or the validation set. The grey curve represents that a model has no model discrimination ability. No differences were found in the comparison of the two models’ AUC in the training set (P = 0.838) and the validation set (P = 0.734). LV, left ventricular; ROC, receiver operating characteristic; AUC, area under the ROC. Fig. S3. DCA of the nomogram for predicting the risk of LV thrombus persistence/recurrence at 3 months in Model 1. (A) Training set. (B) Validation set. X-axis: cut-off probability; Y-axis: net benefit, which is calculated across a range of threshold probabilities. The blue line represents Model 1. The grey line represents the assumption that all patients have thrombus persistence/recurrence. The black line represents the assumption that no patients have thrombus persistence/recurrence. LV, left ventricular; DCA, decision curve analysis. Fig. S4. DCA of the nomogram for predicting the risk of LV thrombus persistence/recurrence at 3 months in Model 1 and Model 2. (A) Training set. (B) Validation set. X-axis: cut-off probability; Y-axis: net benefit, which is calculated across a range of threshold probabilities. The blue line represents Model 1. The red line represents Model 2. The grey line represents the assumption that all patients have thrombus persistence/recurrence. The black line represents the assumption that no patients have thrombus persistence/recurrence. LV, left ventricular; DCA, decision curve analysis. Fig. S5. Calibration plots for predicting the risk of LV thrombus persistence/recurrence at 3 months in Model 2. (A) Training set. (B) Validation set. X-axis: predicted thrombus persistence/recurrence risk; Y-axis: actual thrombus persistence/recurrence rate. Estimates above the grey solid line represent underestimates; those below the grey solid line represent overestimates. The vertical bars represent 95%CIs. LV, left ventricular; CI, confidence interval. Fig. S6. Restricted cubic spline curve. We observed a linear relationship between LV thrombus persistence/recurrence at 3 months and continuous variables including (A) D-dimer levels and (B) thickness of thrombi (all p for nonlinear 0.05). The p values for overall association were less than 0.05 for thrombus persistence/recurrence. Both models were adjusted for cofounders in Model 1 including diagnosis, antiplatelet therapy, thrombus morphology, and ventricular aneurysm. ORs are indicated by solid lines and 95%CIs by shaded areas. LV, left ventricular; OR, odds ratio; CI, confidence interval. Table S1. Secondary outcomes at 3-month follow-up [N = 172].