Key result
LAA appearance complexity index and LAA mean residence time showed weak, non-significant correlations with the CHA2DS2-VASc score (R2=0.46, P=0.07 and R2=0.41, P=0.11, respectively), indicating they may add independent information regarding stasis risk.
Why the study?
The CHA2DS2-VASc score omits LAA morphology when stratifying stroke risk, and current morphology-based classification is subjective; whether quantitative indices of LAA 3D geometry and residence time distribution add independent information remained unknown.
Observational (n=16)
Computational fluid dynamics-derived indices of LAA appearance complexity and blood-borne particle residence time provide independent information about stasis risk that is not fully captured by the CHA2DS2-VASc score or traditional LAA shape classification.
Atrial fibrillation (AF) is the most common arrhythmia that leads to thrombus formation, mostly in the left atrial appendage (LAA). The current standard of stratifying stroke risk, based on the CHA2DS2-VASc score, does not consider LAA morphology, and the clinically accepted LAA morphology-based classification is highly subjective. The aim of this study was to determine whether LAA blood-borne particle residence time distribution and the proposed quantitative index of LAA 3D geometry can add independent information to the CHA2DS2-VASc score. Data were collected from 16 AF subjects. Subject-specific measurements included left atrial (LA) and LAA 3D geometry obtained by cardiac computed tomography, cardiac output, and heart rate. We quantified 3D LAA appearance in terms of a novel LAA appearance complexity index (LAA-ACI). We employed computational fluid dynamics analysis and a systems-based approach to quantify residence time distribution and associated calculated variable (LAA mean residence time, tm) in each subject. The LAA-ACI captured the subject-specific LAA 3D geometry in terms of a single number. LAA tm varied significantly within a given LAA morphology as defined by the current subjective method and it was not simply a reflection of LAA geometry/appearance. In addition, LAA-ACI and LAA tm varied significantly for a given CHA2DS2-VASc score, indicating that these two indices of stasis are not simply a reflection of the subjects' clinical status. We conclude that LAA-ACI and LAA tm add independent information to the CHA2DS2-VASc score about stasis risk and thereby can potentially enhance its ability to stratify stroke risk in AF patients.
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Sanatkhani et al. (2021) conducted an observational in Atrial Fibrillation (n=16). LAA appearance complexity index (LAA-ACI) and LAA mean residence time (tm) vs. CHA2DS2-VASc score was evaluated on Correlation between LAA mean residence time (tm) and CHA2DS2-VASc score (R2 = 0.41, p=0.11). LAA appearance complexity index and LAA mean residence time showed weak, non-significant correlations with the CHA2DS2-VASc score (R2=0.46, P=0.07 and R2=0.41, P=0.11, respectively), indicating they may add independent information regarding stasis risk.
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