ArticleJournal of thrombosis and thrombolysis2024
A nomogram to predict ventricular thrombus in dilated cardiomyopathy patients.
Article in Journal of thrombosis and thrombolysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- An Updated Meta-Analysis of Randomized Controlled Trials Comparing Direct Oral Anticoagulants Against Warfarin for Left Ventricular Thrombus Resolution.Journal of clinical medicine · 2025Review
- Multiple cardioembolic attacks with a huge ventricular thrombus in dilated cardiomyopathy: A case report and comprehensive review.The Journal of international medical research · 2025Review
- Left Ventricular Thrombosis in Ischemic and Non-Ischemic Cardiomyopathies: Focus on Evidence-Based Treatment.Journal of clinical medicine · 2025Review
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Authors and funding
10 authors.
Funding
Abstract
backgroundVT (Ventricular Thrombus) is a serious complication of dilated cardiomyopathy (DCM). Our goal is to develop a nomogram for personalized prediction of incident VT in DCM patients.
methods1267 patients (52.87 ± 11.75 years old, 73.8% male) were analyzed retrospectively from January 01, 2015, to December 31, 2020. A nomogram model for VT risk assessment was established using minimum absolute contraction and selection operator (LASSO) and multivariate logistic regression analysis, and its effectiveness was validated by internal guidance. The model was evaluated by the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis (DCA). We compared the performance in predicting VT between nomogram and CHA2DS2, CHA2DS2- VASc or ATRIA by AUC, akaike information criterion (AIC), bayesian information criterion (BIC), net reclassification index (NRI), and integrated discrimination index (IDI).
results89 patients (7.02%) experienced VT. Multivariate logistic regression analysis revealed that age, left ventricular ejection fraction (LVEF), uric acid (UA), N-terminal precursor B-type diuretic peptide (NT-proBNP), and D-dimer (DD) were important independent predictors of VT. The nomogram model correctly separates patients with and without VT, with an optimistic C score of 0.92 (95%CI: 0.90-0.94) and good calibration (Hosmer-Lemeshow χ
conclusionsThe novel nomogram demonstrated better than presenting scores and showed an improvement in predicting VT in DCM patients.
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Registered trials
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