Key result
3D-TEE nomogram predicts dense SEC/LAAT in non-valvular AF with ~0.89 AUC, outperforming conventional risk scores.
Why the study?
Conventional CHADS2 and CHA2DS2-VASc scores lack left atrial appendage morphological features, resulting in limited predictive accuracy for dense SEC/LAAT in NVAF patients.
Does a 3D-TEE-based nomogram improve the prediction of left atrial appendage dense spontaneous echo contrast and/or thrombosis in patients with non-valvular atrial fibrillation compared to conventional CHADS2 and CHA2DS2-VASc scores?
Observational (n=159)
Single-blind
No
Does a 3D-TEE-based nomogram improve the prediction of left atrial appendage dense spontaneous echo contrast and/or thrombosis in patients with non-valvular atrial fibrillation compared to conventional CHADS2 and CHA2DS2-VASc scores?
A novel 3D-TEE-based nomogram demonstrated superior discrimination for detecting dense SEC and LAA thrombus in NVAF patients compared to traditional clinical risk scores, though overfitting limits its immediate clinical application.
May enhance SEC/LAAT prediction over clinical scores in NVAF; hypothesis-generating and requires prospective validation before adoption.
Background: Non-valvular atrial fibrillation (NVAF) carries a high risk of left atrial appendage thrombus (LAAT) and dense spontaneous echo contrast (dense SEC), the primary triggers of cardioembolic stroke. Conventional CHADS2 [congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, prior stroke/transient ischemic attack (TIA) score] and CHA2DS2‑VASc (congestive heart failure, hypertension, age ≥75 years, diabetes mellitus, prior stroke/TIA, vascular disease, age 65–74 years, Sex category score) scores lack left atrial appendage (LAA) morphological features, yielding limited predictive accuracy for dense SEC/LAAT. This study constructed a nomogram based on quantitative LAA parameters derived from three-dimensional transesophageal echocardiography (3D-TEE) to predict dense SEC/LAAT in NVAF patients and compared its performance with the two conventional clinical risk scores. Methods: We retrospectively enrolled 159 NVAF patients who underwent 3D-TEE from July 2024 to December 2025, stratified into a dense SEC/LAAT positive group (n=50) and a negative group (n=109). Variables with severe multicollinearity [variance inflation factor (VIF) ≥10] were excluded. Univariate logistic regression (P<0.10) screened candidate predictors, followed by forward stepwise multivariate logistic regression to identify independent risk factors and construct a nomogram. Model discrimination, calibration and clinical utility were assessed via receiver operating characteristic (ROC) curves, calibration curves, 10-fold cross-validation, decision curve analysis (DCA) and clinical impact curves; inter-model area under the curve (AUC) comparisons used P<0.05 as the statistical significance threshold. Results: Four independent predictors of dense SEC/LAAT were identified: D-dimer >0.550 mg/L [odds ratio (OR) =7.805, 95% confidence interval (CI): 2.044–29.795, P=0.002]; European Heart Rhythm Association (EHRA) score ≥ IIb (OR =6.255, 95% CI: 1.458–26.833, P=0.013); LAA poor echogenicity (OR =23.037, 95% CI: 5.651–93.909, P<0.001); LAA orifice morphology (OR =0.537, 95% CI: 0.296–0.975, P=0.041). The nomogram achieved an original AUC of 0.892 (95% CI: 0.839–0.945) at an optimal cutoff value of 0.29, with sensitivity 0.82, specificity 0.83, accuracy 0.82, and negative predictive value 0.91. It significantly outperformed CHADS2 (AUC =0.629) and CHA2DS2-VASc (AUC =0.606) (all P<0.05). Ten-fold cross-validation yielded an optimism-corrected AUC of 0.868 and a mean Brier score of 0.127; however, marked overfitting was observed (calibration slope =4.175, mean maximum calibration error =0.385). DCA confirmed sustained positive net clinical benefit within the 10–50% threshold probability range. Conclusions: The 3D-TEE-based nomogram shows acceptable discrimination for dense SEC/LAAT in NVAF patients and addresses the limitations of traditional risk scoring systems. Nevertheless, prominent overfitting prevents its direct clinical use without external validation and recalibration; it can serve as an auxiliary research tool for LAAT risk stratification.
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Guo et al. (2026) conducted an observational in Non-valvular atrial fibrillation (NVAF) (n=159). 3D-TEE-based nomogram vs. CHADS2 and CHA2DS2-VASc scores was evaluated on Prediction of dense spontaneous echo contrast or left atrial appendage thrombus (AUC) (AUC 0.892, 95% CI 0.839-0.945, p=<0.05). A 3D-TEE-based nomogram achieved an AUC of 0.892 for predicting dense SEC/LAAT in patients with non-valvular atrial fibrillation, significantly outperforming conventional CHADS2 and CHA2DS2-VASc clinical risk scores.
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