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Left Atrial Volume Assessed by Coronary Computed Tomography in Mid Ventricular Diastasis Predicts Adverse Events
Kevin E Boczar1, Mohammed Alam, Benjamin J W Chow
1*Department of Medicine (Cardiology), University of Ottawa Heart Institute †Department of Radiology, University of Ottawa, ON, Canada.
Insights
Left atrial volume indexed to body surface area (LAVi) measured during mid-diastole is a significant predictor of major adverse cardiac events (MACE). This measurement offers incremental prognostic value beyond traditional risk factors.
Area of Science:
- Cardiology
- Cardiac Imaging
- Predictive Analytics
Background:
- Left atrial (LA) volume is a known prognostic marker for major adverse cardiac events (MACE).
- The predictive capacity of LA volume specifically during mid-diastole remains underexplored.
- This study investigates the prognostic utility of LA volume indexed to body surface area (LAVi) at mid-ventricular diastasis.
Purpose of the Study:
- To determine the incremental predictive value of LAVi measured in mid-ventricular diastasis for MACE.
- To assess if LAVi provides prognostic information beyond established risk factors.
Main Methods:
- A case-control study matched 96 patients with MACE to 96 controls.
- Coronary computed tomographic angiography images were analyzed at the 75% phase (mid-ventricular diastasis).
- Left atrial volumes were measured, indexed to body surface area (LAVi), and analyzed using Cox proportional hazard models.
Main Results:
- Patients with MACE exhibited significantly larger LAVi (63.8±2.1 mL/m) compared to controls (50.3±1.2 mL/m) (P<0.001).
- Multivariate analysis identified both significant coronary artery disease (>70% stenosis) and LAVi as independent predictors of MACE (P=0.0022 and P=0.0001, respectively).
Conclusions:
- A larger LAVi is significantly associated with MACE.
- LAVi serves as an incremental predictor of MACE, adding value to traditional clinical variables.
- Incorporating LAVi assessment into coronary computed tomographic angiography could enhance cardiovascular risk stratification and clinical decision-making.
Purpose:
Previous studies have demonstrated that left atrial (LA) volume has incremental prognostic value in predicting major adverse cardiac events (MACE). However, the predictive ability of LA volume in mid diastasis has not been investigated. We determined the incremental predictive value of LA volume indexed to body surface area (LAVi) measured in mid ventricular diastasis.
Materials And Methods:
A total of 96 patients with MACE (all-cause mortality and nonfatal myocardial infarction) were matched to 96 controls without adverse events on follow-up. Coronary computed tomographic angiography images were reconstructed at the 75% phase (mid ventricular diastasis). LA volumes were measured and indexed to the body surface area. The predictive value of LAVi was assessed using Cox proportional hazard models for the MACE.
Results:
LAVi was significantly larger (P<0.001) in the cases with adverse clinical outcomes (63.8±2.1 mL/m) versus the controls (50.3±1.2 mL/m). In a multivariate analysis, both significant coronary artery disease (defined as >70% stenosis in at least 1 coronary artery) and LAVi emerged as significant predictors of MACE with P-values of 0.0022 and 0.0001, respectively.
Conclusions:
A significantly larger LAVi was associated with MACE. LAVi was an incremental predictor to traditional clinical variables for MACE. The assessment of LAVi may be considered during coronary computed tomographic angiography and could potentially be incorporated into risk stratification and decision-making strategies.
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