Abstract Introduction Calcific aortic stenosis (AS) is the most common valvular heart disease in developed countries, with incidence rising due to an aging population. Although transthoracic and transesophageal echocardiography are the primary imagistic tools for patients with AS, cardiac computed tomography (CCT) is essential in the pre-procedural planning of aortic valve replacement (AVR), crucially informing management strategies. Furthermore, CCT provides detailed imaging of cardiovascular calcification, such as mitral annular calcification (MAC) presence and extension for these patients. However, the implications of CCT-derived MAC for patient outcomes, particularly regarding major adverse cardiovascular events (MACE) remain unclear. Purpose This study aimed to determine if the presence and extent of CCT-derived MAC affect all-cause, non-cardiovascular mortality, and MACE in patients undergoing AVR. Methods Several clinical cardiovascular risk factors were collected retrospectively and CCT scans of 313 patients with AS were assessed semi-quantitatively. CCT was conducted in spiral acquisition mode with retrospectively electrocardiogram-gated reconstruction and a contrast agent was injected. This study categorizes MAC severity using Guerrero et al.'s recently validated CCT-derived MAC score. Patients were followed for 60 months post-AVR to evaluate MACE (composite of cardiovascular mortality, major arrhythmias, heart failure, and stroke), all-cause, and non-cardiovascular-related deaths. Cox univariate models were used to study the role of MAC as a predictor of the aforementioned outcomes. Results The population's median age was 81 years (78-84) and most of them were females (60.3%). Arterial hypertension was present in 85.9% of the patients, 30.6% presented diabetes mellitus, 12.1% presented chronic kidney disease, and 36% had previous myocardial revascularization. The median left ventricular ejection fraction was 58% (55-63), the mean index aortic valve area was 0.4 cm2/m2 (0.3-0.5) and most of them presented a tricuspid aortic valve (94.8%). The median STS risk score of mortality was 4.14 % (2.85-6.29), while the EuroScore II was 2.83 (1.70-4.77) points. In univariate Cox models, the lowest and intermediate MAC severity categories did not show any significant associations with MACE, all-cause, and non-cardiovascular mortality (all p values >0.05). However, the MAC score for the highest category (3 vs. 0 points) was significantly associated with MACE (HR 2.32, 95% CI [1.13-4.77], p=0.02), all-cause (HR 2.37, 95% CI [1.36-4.16], p< 0.0.001), and non-cardiovascular mortality (HR 2.09, 95% CI [1.05-4.16], p=0.03). Conclusion In the present study, severe MAC was identified as an independent predictor of cardiovascular outcomes in patients with AS undergoing AVR. These results could be translated into a more practical, largely available, clinical tool to ensure closer monitoring of this population
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