External validation of CLOTS-AF score in patients with atrial fibrillation undergoing transesophageal

Koray Kalenderoglu1, Mert Ilker Hayiroglu1, Lale Dinc Asarcikli1

  • 1Department of Cardiology, Dr. Siyami Ersek Thoracic and Cardiovascular Surgery Training and Research Hospital, Istanbul, Turkey.

Annals of Medicine
|April 16, 2025
PubMed

Insights

The novel CLOTS-AF score effectively predicts left atrial appendage thrombosis (LAAT) in nonvalvular atrial fibrillation (NVAF) patients. This score demonstrates superior predictive ability compared to the CHA2DS2-VASc score for identifying LAAT.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Thrombosis Research

Background:

  • Left atrial appendage thrombosis (LAAT) is a critical complication of nonvalvular atrial fibrillation (NVAF), increasing the risk of thromboembolic events.
  • Accurate prediction of LAAT is essential for managing NVAF patients and preventing adverse outcomes.

Purpose of the Study:

  • To evaluate the predictive performance of the novel CLOTS-AF score for identifying LAAT in NVAF patients.
  • To compare the effectiveness of the CLOTS-AF score against the established CHA2DS2-VASc score in predicting LAAT.

Main Methods:

  • A retrospective analysis of 668 NVAF patients who underwent transesophageal echocardiography (TEE).
  • Patients were classified based on the presence or absence of LAAT detected by TEE.
  • The CLOTS-AF score and CHA2DS2-VASc score were calculated for all participants.

Main Results:

  • Thrombus was identified in 17% of the study cohort.
  • Both CLOTS-AF and CHA2DS2-VASc scores were significantly higher in patients with LAAT (p < .001).
  • The CLOTS-AF score demonstrated superior predictive accuracy for LAAT compared to the CHA2DS2-VASc score (AUC: 0.70 vs. 0.61, p < .001).

Conclusions:

  • The CLOTS-AF score is a validated and significant predictor of LAAT in NVAF patients.
  • This scoring system shows promise for enhancing clinical decision-making in managing NVAF.
  • Further validation in external cohorts is recommended to underscore its clinical utility.
Abstract